From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============8406556123669836207==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH] net: bonding: retrieve device statistics under RTNL, not RCU Date: Thu, 10 Dec 2020 12:32:32 +0800 Message-ID: <202012101201.pauYHu2o-lkp@intel.com> In-Reply-To: <20201130184828.x56bwxxiwydsxt3k@skbuf> List-Id: --===============8406556123669836207== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Vladimir, I love your patch! Perhaps something to improve: [auto build test WARNING on linus/master] [also build test WARNING on v5.10-rc7 next-20201209] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Vladimir-Oltean/net-bondin= g-retrieve-device-statistics-under-RTNL-not-RCU/20201201-025343 base: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git = b65054597872ce3aefbc6a666385eabdf9e288da config: mips-randconfig-r026-20201209 (attached as .config) compiler: clang version 12.0.0 (https://github.com/llvm/llvm-project 196880= 4ac726e7674d5de22bc2204b45857da344) reproduce (this is a W=3D1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install mips cross compiling tool for clang build # apt-get install binutils-mips-linux-gnu # https://github.com/0day-ci/linux/commit/ae1fadfd6122065f2a211de17= 6290d184fda525a git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Vladimir-Oltean/net-bonding-retrie= ve-device-statistics-under-RTNL-not-RCU/20201201-025343 git checkout ae1fadfd6122065f2a211de176290d184fda525a # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dclang make.cross ARCH= =3Dmips = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): >> drivers/net/bonding/bond_main.c:3698:12: warning: unused function 'bond_= get_lowest_level_rcu' static int bond_get_lowest_level_rcu(struct net_device ^ fatal error: error in backend: Nested variants found in inline asm strin= g: ' .set push .set mips64r2 .if ( 0x00 ) !=3D -1)) 0x00 ) !=3D -1)) : ($( static struct ftrace_branc= h_data __attribute__((__aligned__(4))) __attribute__((__section__("_ftrace_= branch"))) __if_trace =3D $( .func =3D __func__, .file =3D "arch/mips/inclu= de/asm/atomic.h", .line =3D 153, $); 0x00 ) !=3D -1)) : $))) ) && ( 0 ); .s= et push; .set mips64r2; .rept 1; sync 0x00; .endr; .set pop; .else; ; .endif 1: ll $0, $1 # atomic_add addu $0, $2 sc $0, $1 beqz $0, 1b .set pop ' clang-12: error: clang frontend command failed with exit code 70 (use -v= to see invocation) clang version 12.0.0 (git://gitmirror/llvm_project 1968804ac726e7674d5de= 22bc2204b45857da344) Target: mipsel-unknown-linux-gnu Thread model: posix InstalledDir: /opt/cross/clang-1968804ac7/bin clang-12: note: diagnostic msg: Makefile arch drivers include kernel scripts source usr vim +/bond_get_lowest_level_rcu +3698 drivers/net/bonding/bond_main.c fe30937b65354c Eric Dumazet 2016-03-17 3696 = b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3697 #ifdef CONFIG_LOCKDEP b3e80d44f5b1b4 Taehee Yoo 2020-02-15 @3698 static int bond_get_lowest_le= vel_rcu(struct net_device *dev) b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3699 { b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3700 struct net_device *ldev, *ne= xt, *now, *dev_stack[MAX_NEST_DEV + 1]; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3701 struct list_head *niter, *it= er, *iter_stack[MAX_NEST_DEV + 1]; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3702 int cur =3D 0, max =3D 0; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3703 = b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3704 now =3D dev; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3705 iter =3D &dev->adj_list.lowe= r; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3706 = b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3707 while (1) { b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3708 next =3D NULL; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3709 while (1) { b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3710 ldev =3D netdev_next_lower= _dev_rcu(now, &iter); b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3711 if (!ldev) b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3712 break; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3713 = b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3714 next =3D ldev; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3715 niter =3D &ldev->adj_list.= lower; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3716 dev_stack[cur] =3D now; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3717 iter_stack[cur++] =3D iter; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3718 if (max <=3D cur) b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3719 max =3D cur; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3720 break; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3721 } b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3722 = b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3723 if (!next) { b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3724 if (!cur) b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3725 return max; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3726 next =3D dev_stack[--cur]; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3727 niter =3D iter_stack[cur]; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3728 } b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3729 = b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3730 now =3D next; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3731 iter =3D niter; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3732 } b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3733 = b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3734 return max; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3735 } b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3736 #endif b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3737 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --===============8406556123669836207== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICIae0V8AAy5jb25maWcAjDxbc9w2r+/9FTvpSzvTNvbacZJzxg8URe2yK4kySa0vLxrX2eTz +Rw7s7Z7+fcHoG4kBW3ah8YLgCAJgriR1I8//Lhgry9PX29f7u9uHx7+WXzZPe72ty+7T4vP9w+7 /12kalEquxCptL8BcX7/+Pr326/3354X7347Pvrt6Nf93dlis9s/7h4W/Onx8/2XV2h+//T4w48/ cFVmctVw3myFNlKVjRVX9vzN3cPt45fFn7v9M9Atjpe/AZ/FT1/uX/7n7Vv4/9f7/f5p//bh4c+v zbf90//t7l4Wxx/PPnw4Or29e788270/e3/66d2n3XL5x91yeXT6x+m7D+/ef7o9OT39+U3f62rs 9vyoB+bpFAZ00jQ8Z+Xq/B+PEIB5no4gRzE0P14ewX8ejzUzDTNFs1JWeY1CRKNqW9WWxMsyl6UY UVJfNJdKb0ZIUss8tbIQjWVJLhqjNLICSf+4WLl1e1g8715ev42yl6W0jSi3DdMwKVlIe36yBPK+ e1VUEjhZYezi/nnx+PSCHAYpKM7yfsZv3lDghtX+fN0QG8Ny69Gv2VY0G6FLkTerG1mN5D4mAcyS RuU3BaMxVzdzLdQc4pRG3BjrLXY42kFe/lB9ecUEOOBD+Kubw63VYfTpITROhFjLVGSszq3TCG9t evBaGVuyQpy/+enx6XEH+2jgay5ZRXZors1WVpzorFJGXjXFRS1q4cvvklm+bhyYaMW1MqYpRKH0 dcOsZXztN66NyGVCtGM1WKd+I8C2WTy//vH8z/PL7uu4EVaiFFpyt6sqrRJvo/kos1aXNEZkmeBW gsKwLGsKZjY0HV/7Co6QVBVMlhSsWUuhmebra5qXrKSvrGUKW7VrCeiQY6Y0F2lj11qwVDpbNkjO 55mKpF5lJlzQ3eOnxdPnSHaj4VN8Y1QN/NsFTNVqOl5nl7agEmAb8inaMRFbUVpDIAtlmrpKmRX9 Mtr7r+AfqJVc3zQVtFKp5P4cS4UYCSIiddWhScxartaNFsbNQNOCmYxmbF5pIYrKQgclpdM9eqvy urRMX/tj7pAHmnEFrXqZ8Kp+a2+f/7t4geEsbmFozy+3L8+L27u7p9fHl/vHL6OUrOSbBho0jDse kUagJrgVG9GkcCojSYH8i6EM6gODkEblzKIX6aaieb0w07W1MO0GcKOKwI9GXMGCe07TBBSuTQSC 3Wlc007DCNQEVKeCglvNODEmY0HN0X8WqgwxpYBtaMSKJ7k0NsRlrIQIAF3wBNjkgmXnx2ej7B0z xROUIKEi0fAa3PdNkbhV7lYplPJgLTbtH4E+bNbQPFL/aJcavoaZuY3cL6O5+8/u0+vDbr/4vLt9 ed3vnh24657ADkqx0qquPFNQsZVotV3oEQq+gK+in80G/vHHnuSbjh/lUxyiHfvIKGNSNyFmjIky 0yRgay9latcER20bkmfXUyVTE7BrwTqdiQg6fAZafCM0TVKB67PmUPNUbCWnLV9HAUxgr9tDJLDL skP4pDqIdp6FEJhRfDPQMMsC6awF31RKlhZNsFWankOrehhqzq0zOB5Yt1SA4eTgRoIVjXHNdkmt q8iZ54dRq0CqLl7S3jK736wAhq1L9GIpnU4CRgBNgsUR1cW1PnUYGfqkKqKMwsAR0UWy4/5QCh0J /k1tEN6oClyBvBEYQzglULpgJQ8it5jMwB8ENxdRQwaQojHiCkwqrngjMPUoew8wMD1ISC8ytzn4 Ay4q6/JJtH7emlXZ+GPwGkN3BQS6EraSplivhMWgrhkjmEh/OgTRNmtDM8+YufC3jSdCfw+KviE1 PNo6I5wZEHgd9jtgsxoyamJEolLRFOSqZHmWklzcQDMqaXABWxZupjWYX5INk4pgIVVTa+nn1izd SphUJ08TmPeEaS19D7BBkuvCTCFNEGcOUCcw3MsYqweqQS0tgsEs5IpR00ddcelR5hkAbcSFz8KZ PQelBFgkIk19N+F2CG6yJo6GHRC6bLYFjFIF0W3Fj4+C7e78bFd3qXb7z0/7r7ePd7uF+HP3CHEY Aw/MMRKDsHUMr8hu2/GTnXd+/F92M452W7S99A6ddl0mr5Op0wjRrcdvNyBpErCCwWyTuDqJ15ZR iSKyDMkUTcawZw0RSZcex7ydu8bwrtGw9RW9H0LCNdMpBFL0DjTrOssguXNRkJM/A184MwMXUVdM W8ny0LqoTOZRJD8EyWAonZ81/sqGVaNhH0o/MsNfXhztFK+4vfvP/eMO2j3s7sJqn0/elSQCG4xo loM/L65pK6Lf03C7Xr6bw7z/SBtPfzA0BS9O319dzeHOTmZwjjFXCcvpiKpgfA3KwyFNiH1ZSPM7 u6HTUoeFxRQlht6KHn7OIHW7mG+fK1WujCpP6GpVQLMUdHQXEJ3RpSdHU4Gaw7+SLl45iYFtsXQY 3HHgh0a61afHM+uhGSg+7VnNSjYQgdF8OyStch3ywwHkydEh5EyfMrm2kOzotSxnwt2OgulC0I5/ 5KEO8/gugbmEXg4R5NLaXJiazk16LmDtlaGXtiNJ5GqWSSmbmUG4hbdXJx/nNmKLP53Fy41WVm4a nbybWQ/OtrIuGsWtgJBybquVedFc5RqiaTDkByiqKYUzmfnuy+3dPwusrv5ar+Vb/DeT9udF8nS7 /9Tmzf2uFivGr1s+IFmWntCb3ydTHIIYO+kVengLvRGdAKaRBfqbLAX/qSD5os1USFjK47OPp6e0 JQ5Jr2SeVStaJ0LK6eC95AVn19lBkmIrte3IwBnzdR1SdZ5u6rHi8sb6UsjV2ivYDNVJsC2JhsQR DHqQIrZZqSpgLhmkhOC+0cH60atLvTTzSspcbAFy6hWPudE8hLTOBessREEVy8WNqatKaYtFU6xl +9FcwTCWw8yVq7XQorQhslTlFGGuy2gM0O/YCwbIEJHgoVOQE0IckmCQW6aSkcEZELTmo6OZ4T8y mSGYYVKqLhcEffJl5ARoKlgTj98lqzAZMVWQMjrS/BgWGRYT4jCZ2eb9QfT5+6EaG8Q/gViw3cmy 0cczUunxy1iePeJsrhLkKM5OI9YkxYy58yjOiOEFgr9BDQ4XBc8rgykeRi8Po8/m0W6Sh9EHmLvp +bFuuF7TxfB2ZAfz2VsG6QDYLMNgN2zPl6S0TpYJ2IIh6KVIzk4pEuzxO1wwfwBX3R3BDKG8nwe+ /PNtNwbijk2QH6C5xbpNc7qh0p4Rf3y2SeiWZ3RTd/gEvviquYFwQ4H50efHx6MVdI7M7aHYyuHE IwTCcCUhL8+EdWeAHqa3ymldVI3Nk4hhVvWCDJuBcQNcPQW2O3vKqLCNKaoJMMgEnf03BXWAEyz6 QDijFK4w5Z/cRQPJKpZlkyyKV1S1vkUVEznzcOp4SmHQgJoCMklHozTQcq269C8wGLgeA+UBs9I1 n7F6yKUwbLrUqRRyCtXySlK70p1ebedRFC/0cJFMmJFpZ9KPpgjYPOb8Q3hMGFW+qM3bkc0s9GHs IOA5NfFWh8ZX5vhsxqoEcndBRJYzC4MBrxo7ds/fUzXeS7qQFGwX+AHByYGBovrOysFrWGp3/jFa XNfYDcCATcQjbz7UmaIVbtviPwWrzr17L+ubZklnsoA5/UBN+qY5PjryhYSQmdwQ2b+jM0OHop17 28Vss+OjJVXwDyTHNLqOtX8p5ub8eLyntBFXwjcEmpm1s6ReFXJ9bSSEnHjCCUb06O8Pp0dH/l2n 1laA784q8LETY4s1ROWV4SH7aMIgAu8IWVk2qY1tLpgjVlUQ5cGqttjQ4ok8CwjmCw0Qcx+gDOua zm3248CoOxWEE8HaxqY9bZ3gqlV7ISuHLZHHqoqnVk2VlSCVzIjhMD95fV48fcNY5HnxU8XlL4uK F1yyXxYCgoxfFu5/lv/sVW+5bFIt8eLV9Fy7KOpoexeg840uW0sGQynBmh3As6vz43c0QV9j/Q6f gKxlN4j6X8/WK1im3anFEOZUT3/t9ouvt4+3X3Zfd48vPUdPRJ5prYq2uBxAWLrFk600RqWAm95t 8aHulAQP74+XRx5DnntJ0+UFpICXQuNlIcklVsDHArJnlKvCD0xnpzWkGS1FMVAAYsDJTw9e0Ocu WwRnUT2kWaltk7M0dflp4LYHdCHKeta5D1RWqEmdwTn9fjiLdH//Z3vwMObfNIEfnLcz8SGTebc1 jfv9179u92E3fSAqdeGiZHBsxcy1tZVSK5hKTzqZi9192d8uPve9fHK9+HOZIejRk/EFRz+braej WLuoWS5vJkejQDYX3OWw1VjZYMGz2aZGnUdXQG/3d/+5f4E853W/+/XT7hsMi9wsrfXnSnva4hxE BAOj1WSea3XTUO1pg0f2OwbkOUvCer8rgONBALopsN8zN00ndQxnWtCX9N4iwQQ+GoSEcaL1gcY2 Qm1ihi1UC0siykJGEDcAZ+/XSm0iJBZS4LeVq1rVxIU2jH7cfmmD+mhaGI9CxmRldt1fIpgSYBco +bp0GUrMo00SwaU08czxLnGh0u5+bjxRLVbgksBaO3+G17+EAUAVT7875ZxIJFhlf0CXDKydrDie TOExYndrmGBhBEdXcQCF5ZygjjZpMkfoWLmpoU4IbpXP5V/B4adWfhbmeOJqiyvrNGIjJ2hYS4he 1vFtZOKaXUQBK9VNvRJcZr5LHziIK1zqsr2gimMl1AVDo/YsEtJ0SrSBu48IXAekqoatPkxXvL8/ bFWVqsuybZCzaxXccs9VCTsZRg4GN/V670KGVplRUNTIu0vqugluA7vyqHfKTOWcrTa0CtkVUiEZ GOwlV9tf/7h93n1a/LeNBL/tnz7fP7T3KEd3AWRdNYaMIg+xCQaCLxKqvF7JkjyD/Y7Z7llp2xR4 68M3Ye7Og8GD+/NjLxBWaZ0LskbQYtqrkzmYNz9TS7oLfsPPTWO4kWA5LmrhX2jsb0glZkUCcxlE 8OOFKitWWlr6+LenwjoSfczirvsVKT6WaG0NfaaEZJcJ5WvaLvDSQ2biARos6FeMPnRDgvaVBuTM XF9X8dFuG6Xe7l/ucc0WFhKLIDpxh/bu4lIfhxLDY4VcsZHUC/FNqgyFEJkMwGNkGQ3Fl0Bx4aIP qcK1c6Fpe5FejRc4vagB2knVFrTw7lb4ZsVDbq6TMNLsEUl2Qe6jsL9BGqb0asB12cnfVBAS1GWo qkPM4B4YpI7I3V0fSeYxcWN9STcd4U5K4u/d3evL7R8Q1OKDqYW7IfMSrHoiy6ywaKGp1cZuRwoX L/nXllqM4VpWdgIupAluCWHchtk8Kd+5kbbx++7r0/4fL9SehotduWgcBALA6aUu2HYVltB4Z8zY ZuWblu5ph38bvHfBVQ4eoLLOqrt6z6k/LfASfPYehatOa4EpOX35BTaUjvprg7emv+rkhePgySDm DAzDxlCxeO/5nMeDtBj2dKrPT48+ele4eS5YG79RdUP/URP8iHPSAeQH3wiEpIWZ8/djNzeVUrTJ uklqysbcmOkVsx42VDNgXhUt0IEUtXUcm4t43WpMo6T2gHTbR17j4gntypTAiK4rr/DiMZjbdcH0 hlTsed0daojCG2WJxzjlSkPcGwJFBDObBCIjK8o+jnY7pdy9/PW0/y94d6L8ALMW0ZkLQppUMkqO YM6uAuN2BTs9uNvuYHHr8eJmTnn3q0x7uxR/gZ6vVATCu41+Tw5o6qSpVC457ZwdTbubKIVuu1pH HUFOEITuKGpIB/2+OxDFeuw7rdxNckFGejJYYlm1RyqcmRA6lH80xKd+3iAxlUhAb6VodTHwXB27 Ku9eXpIjqFqmHSmz64B7i4OsKFFGRMyrkrrR7vS0kpHkZAVaCmahqK9iRGPrMjgyHOgpFolWLJ0I qGjHGb9rGTAUcSSbeHKygIR0Sx2Ej9jgGNxclzAAtZGCtgjtHLZWzgitTmlRZKqeAEaxeRsflanV 43EizkAYap1kO55QyR3QqX88EochgbjNYzpeUWCcYQcOR4hl7xlbM3QByoMZrnePBXuBP1fD9iBQ SfjaboDzOpHUC9CB4BJ6u1SK4rmGv0imawN/HmK6vk5yRnDcihUzJMtye4gfpobdIViMyiuyn1IR 4GvhW78BLHOIWZU0BCrlrQwmYk1X5DSShLoV3Ici0SINb3sjaU4JUJwHKZxgv0NR0hc/e4JeEQ4S OXkcpADJHMTraBwRupfk+Zs/7u/ehBIu0ndG0tzB3tCHdkVFqyrsNny8j4UqDFxCw1PZCj8nYIzM rgOMa1Ktr10tBPxQUUXvNoGmLXnRCWp1AAmWLuXkWCW+ZbPBVsTfo8idMW4gAuMoI+oQco7crNnx v+I783zW0Uf9exFajO26801e22NgQ4MSFPxoIjuEoLnHbODp/NekWPAsBLBHmxzBXYVARcBwJJBR BT9AK8L3Yz0Mj0YlL6jVQ5Kc+Vk4QopKsRCS6OXZh9OYeQsFFTigOfnSkk/urF810jJdifh3I1cF KFepVKzIHX4LI++KuHNPkDvKQlNjaIv36Nn86w0jIAgaAAQxCubcH09OqIDEJ0o0LyZxUEwwj8Hb S3j8PDeGlbmUc1FfT0PNySHEgckVMw/MfJqNod8c+DTa5qcN7RR8sgNXd32yC/59VqAKH0+O6LvO Pp35nR0fH1FmyKeCFBSLxl5yj6r24Wh5HLzeGqHNaqtp1+PRFFtSDVPByzDxayFdnkG0yHPPjMCP pb9ZmX+ojNVQyMRz0YE9g56m9ICvlpR0clZ5Fy4qfBjgB/9CCJzju1MK1pR594d7VgneqbQsJynb JM0fKFjmFjezZP1DapdfX7zuXneQXb/tioHBVw066oYnF+HOQODav08yADPDp9DA7vbASvvF0B7q shuiN+2HyT3QZEm8L1sw/Uanx1txQb0rHdBJRnHlyXx+hHgIFQ73ynDGB0kgUaTKRz06NdPYBuHw ryAEnGpNyPeik/tUapskHmAsgbXaCKrpRUY9xhyaqTQ8pO4R2UWLOygTzjZUpDLyIJRwTS5gJQ8x ImtUrllexzFht96H9aELuyYHFvzh9vn5/vP9XfTdLmzH82gAAMDjJsmnYMtlmYqreGiIcmaQvnDX k2SXB9H1CfWGfuBvttV0QAg9o4aT5eryALf2WwVUw+gLCARboafjKPAKUfCIw1UTHJiCdYe841dC PBSPS2kdvMQ3VvGQO1w98/DJIynEzLs8jwbPv79Hw1kp5ywGioJxGw8SQG3NcebDPR3Jis18vKIn KKTWM0eGPYmBhGru+0AdSckO91Lhl/BmJui6kMVEcxx8k8QtJzTc1PQjuGGKFVnw7dEYp4TKgdD2 owjUgIqZZLwnkdlhWbVVLKzcfmflZkq6bYWrr7MfsqkyCzxEyqlHCGmJL5WMwk/TeYkI+HrmDlwp WP/nDNIvMnnw1D/18OD+FXMPXHRl1jGl8VhRn+OaIfsekXsm/z0iPJqZS7UUZCxbSExgJxPy3Xbl dy+k7iBRVjuAc8j7kuC+SnvkTLEKEVTm5S68hT3hhgg1HiGQXE0CitJQU1qbOCJxk4eQO26fn+A3 3yCWx3icFN6FtlSg7zrnRgYM8T6FEgXeY2jwWRFEyERT7d+Q15lxt7U8L3Ll47sP7LjyUhDIeoi2 5hTFrfoKzzuvm+6TIb3GXMTVc3Bu3Rckw5Owxcvu/yl7luXGcV1/xXUXt2aqTtdIsmXLi1lQD9tq S5YiyrbSG5U7yUynJp2kkvQ5M39/CVIPggLd5y76YQDimyAAAuD7x0RKj6uibMUMpv19X3dZN/nI QOj3auOA7VhesZiUBSOd54FfJA63FIBQ19MBsD3rkwGQz+56TqcQAGzKC2wAUWITO8zih38/3pGO qPDdKWL0jbVENtewxiJDGPBcUfmekB8R0R6NAVDslW3E5Fclshn3MCF+fk4E884KTrOUgdDOmqpm T6ZVEZ/u9TnhdZWwvHPmGcFwIVcdM93R6ZxWSYaE4h4CJ4gGBVc97MUqQby8NSBir6C9Hm22oKu6 0+nuEc8PD/fvs4+X2dcHMfTgT3EPvhSzTst1NVeZDgLyHDjp7WSEHMTR/e6MNZ5TAaV2/2aPglrV 7zZLcH6xDpweyqPtCF0bIuO6HF1/EJNb25N4RSzd4F2Tbq4SQ4GKj+rAI9d09Cgpd63hJdbDwH5W 17fWGnoy8NihD/7DBueH3IDxdZvWjFS1BfYQpejrdmcC+C7OopH9Xd5mm8eHJ0iB8/37j+dOgZr9 Ikh/nd3Lrag5B0ABG91I3AHa1Js0tDz4iwUgLE0V+PkclyRB3fiaZQmEvSwZVYZdPxG4a5+Oqk7Z FELVLeFG1YiA154r/mU/IYK5udKFQ1NOZ68DTpvP55tzdfBJ4DAZw6n0X03y2N7yJzqGIVN3mOxs 3gj3EJzTLBZDYUTLitNd7IbMlIPE1gN5SeOmLM0KtEGSelcXRdaLViNCOTxDaqzP42k/Oep04jJC 8o34SXSyjCKmZ9JTEUDm7xZycbVROkb9RJ/uLm/3s69vj/d/yg01Rjs83nUNmhWmL85R+QbvkqzU O43ArXTT+B/tGlAMW52XG0rLEkz8EDPwZEZdrVSBQ+CJzIA9OT2GmJCnl8u9jCbpp+UsO4zOvR4k faliUSLKaicE+KE2Lfng+BV49kz6TaLFosiyTkAfejRSgksDmKDwYjajXLoeaZJBBqKiykBB+SMO Qy0FGRnQRprUOzmnwi4lCg5hJN23gvXnYmETRQwJPCAN7rEujLzPVbJFTovqN+YXHSzPdYm6J9RT MMtwDRWPKuZrg32rALlJDpFyjEvI8bSs5yFWcHKewC0Tr8N2m/IQAj+RxV0G2Ma5LbEPsCiIXhOC P32rDUGbJk4L5Rv4Xn8cF4JX4aAKMdjRGCI8lLw9cNIjvR4uAEan5dfL2zv2Pa4hWGIlnZ31WF8B 1jzCcYWALDYKTlcMpnyZqIUotkfFQsyE/t127vGfXFwDKqI9HrocbqT1fEoPx2xxyG71k2c6DHJ0 ju8QEfcCXtIq/V79dnl+f1KHUnb5ZzJeYbYXm8joVu/jP2762mL0tiFSEzOIozEUppfN+SamD3ee mxXrk1aURqsHH3exyZQy3q+ZiuW/VUX+2+bp8v5tdvft8bWLyjMGI9qk5tr4nMRJJDmDpR2Ci5gZ 47uipD2lkFEAkyUH6ENhps43CEJxXHQ5uEqqgEzD0/u0I9wmRZ7U1a2lLuBWITvsW5nTuHVxTwys dxW7mI5C6hIwo5SiJjsIsSCZzaw8jHIeG08aTEjE2cyujPOxTjNjX+upgSSgMAAs5CpF0phN277I uqSIr69gvuiAUimUVJc7wSuRdUA2rAAu3PRu1jbmBPH46JjSgF38FI0b4veN8H2NJEu0d1B0BEy4 nG89aYJOUFD3IJIgY7UaXC311vVxUZnEH57++HT38vxxeXwWCrUoqjtk6I3Ms8kMlrsJSPwxYeJ3 Wxc15DcAPVy662NsUsloKsC6XoC7L/mml9dTAS9+fP/rU/H8KYKO2WRlKCIuoq2muoXyPvIgpJn8 d3cxhdYyEKJPqP7TQVKaqRBUzdUmmCaArbsIPEdNAhXgEkWi+j9l7rQfr68vbx96KDSFHXQnaIbK fVfGcTX7X/WvB6H/s+/KaZ+cXEmGZ/JGnDfFwIaHKn5esF7IMUxxqQLQnjMZ+ch3RRaby0EShEnY 2T09x8RBiEs+5d2A2mbHJKTUoKFc8wwGxO5WiOWG5NULkbUml+oZNoR0czykdY2C8wQQ4nMgwg8B E1ZltzRqX4SfESC+PbA8RbXKIBdkgBMwJAgXGxxuIX6LD5LqBIe27hWgEGC0QTDQUVWWvVHHYhUE 9xBj0kULatupCx88HLMMfmjGphix+C89k9J+t+cqrRPQh8htIkm6EKY+wMXeJnn5MW0YQGW0kHrZ IzDxymmw+1ZxlioU2/zxXVkavz7cXX68P8ykeC30VMFLwc2xawRkN3u4R8Fn/YCElCjaYxGX1IBd K90lhRsZ6Gi9g0Fuy30dxSfS8lszOcFgexgr7O5+0HQNFYWDYnA45cmMazyol1EFvN1YzEcn+VoW 5G4jlRlUpjrFH9/vpsqWkAV4UUEiQj7PTo6nx0nHvuc3bVzqOQg0oGnfEwpxfgt7hhifNOLruccX jiZSCb0xK/ixgiSrVW/176spY74OHE8lSRmFc555a8fiSqeQnkNU3/eyFiS+72gW+g4R7tzVioDL dqwd5Puxy6Pl3Ke8NmLuLgM9dZ+xFxvIYt20PN4k9KyWp5IZ6UD7BeiV2qNoSSK2Sa6dW/2QSrhY jR7yh+3AKq8qUXiHz1mzDFaa/bCDr+dRsyTKE3JUG6x3ZcLpFLUdWZK4jrMgV6nRjy5Lyd+X91n6 /P7x9uO7TMb+/u3yJjjEByiEQDd7gmNZcI67x1f4L05h8v/+mtoK5tpm4MjLQPQsKbUuiXbozgHi V1uhADdgOyZ7jnYjMjmmMQ6jiqeJXCBsvReQJmtAxrTnelxKxdIYnh3T04hxdXOrfxPrYZsSMhpQ x2q7+mRyqdkvYhj/+tfs4/L68K9ZFH8Sk6nldepZHcfP0OwqBb1y7rW8Ij8hb0x6JH5UTXZgYDEU TwACKYsyw5QjMVmx3drcCSQBh0tLBun36Pmp+wX3bswNL1NqNgSnJ8Gp/JvCcHhg0QLP0pCzaa/U J5RKOaDhwbwuU53xbVWq6sgFbfZ5MpxnmUTMPp7xzl6usda1U1frOpzB0HjtFBGQLjJRaD+VbsUD lEzuaRRQ5oN8Egl95O3lCaL2Z/95/Pg2g8zWfLOZPV8+hAw+e4TXIf643D3oZ7YshO2iVCqM8OAM JS0APkpOyNddAm+KypL2HsqFykk9hxJJusSu3WXxQFtHgnFLEZ36RiAh+RG+QQVoKeeBqhywYHqn DsTeT6ZrzDjWalGbUHWziiWBPE0RgXH7HRYHnFpUSiF66+EifXu05TZPbmSaKlto0Ybyx5LuXQkz HIEBAnyXjEDFBJUQPoVAGaYHK4XMeKN3A+OZfLERhvZIG9AwOdx7hCyDGEhKcWMR9rADQI21v7QE Esp5qkGfwtXECS24kFXJMaashVvDdsYinpA3oUkNfLrIcLxvB5tqcwKHfX6k71Ahn7U71JX4j36B VB+15hu9Frj2JBedfMGTzBp6okR+pCkeshznQJPOYLkl6wOrIMCC1DHyPk2izsfyYclrICPwSzk1 qG8pC8/H2+PXH/A2MheM7u7bjGkpe6amjNDX7Tz+XPAf0WVVvIEAkxqFEJJxOCLGtQIoSPJu8waF IJhQMBy+8czNASjgN9btIAnkuyLTIKUJYV6v/DmlSgwEpyBIls7SodohfQzgwVSISFovVvQzHCR1 sFpfiwBS1TbNxBsdIdttBk+42L2jgXoaLTYhuYlYcD3qqkpANN4LgYE+HXo6nguJuAuEsvtEUMR5 fCWWA6hPaZ1wyMzGo9Vc9J06eAdx4r9d7NoJUe8gRxb5mOnuFjsYSIDmCMTP5Q4dRhmk9a3S7RYu wXeULrZJm0Sao5H8tZm66YmDcQZF2KzJLJ8UA1m4LdUycQ6KrcEmnzSBWJHL0Pxs3LLysAPjiI0g yv2Fu3AsFQv0ClasUa8AB4sgcK8VG6zUd3SpiusbExKlEYsnnYxkhh1mrStmQii50sU0KrMjtzQl a+quvp4a7oba5sxuMTwDhaV2HdeNzAbmrBKyc2ZtQI93na2lFcBjkgxXOPIds7oBUU8mQCfhSZ7i ItULh8yoiNWBM28w7Eb7ePT567iJrZ+VkC5AR7Hixbnad4jScYCvoFbwOnGdBp/5QtEXSyeN7NXE ZTAPPO8qvo4C1zZ48vtFgJsigcuVOSQKvLaU1PM+VFJnZtoKDuFVWyRAq5NaytgGMDxi2zcAp99V SDSX36V1yFBufwkFpeCQCpHOQOxS0HQThdAUGIHKTxNjCULzCJz3UstzSkCSljcLx11PWSUcIfmP p4/H16eHv/G1TNf3VuWdweV18CERTEM69GDSHHK3bn8ffLz4lEFr7mS8bYCEOqmIT4djptTzmpdl G/IYp2kBYJzAbUiCgWZeUYDlZYldv8ouL5D59NiIL1CgKQBQPXoAPc922iIQU9y50RuCLCAiVqNl AbA9Oyfkc8WALCF7x9EopaqzwPUdsyAFprRUwAppYxU0DS5J/DngiN+++XAsuivKuxlTrFt3FbBp 96M4knIFVbbAtQn5IINOcdAdzXvE7ihGK9XwZOF5aNlEw+Tk66VDS4Y9Ca/WK4eSjzWCwHGmTQQe vPLNke4xax9Ltj1umy09hw7k60kOcHYG9CsDPQ0c0zSL6SnyiK8CUvDvKapDnPLe0ESOLz+GnJQX e6Iv7FiZq1Z+3ATe3HW6S6RJ2XuW5Sllu+sJbsSJej6zA/WxkDp8t6GSQ8idF0dj4Dz6Ni139v3H 06SqWGvZJNFu7VmefRh2yU3kulSjzhnuxhAOcY5pzz74AHL1xEUl5NxcSBGWUgciPMjip9XtH3+W 4xhrHdkLwz8pI0p5pB2uOkoKh3ZUxVNUOSxDiwuV/mknH/6kWTLfixg4uvpBKLR1fvpUJUWkJDxr GZzyLNAp8LbTMWTeNJ3gy23MON05qf0kh8PUa7tit9GYFFWGxczOjxDZ8ss0sutXCJ95f3iYfXzr qYhj/0wa0rRME+PhqCu74O2YUktLRrFNvOBTHqMdlAOA+vqE7YwnoeeEGZpHlTb3+fXHh/XWSYbp IIMhAGRQD9VXidxswOugC3syPgRzHR0rpvAq+fUeOZApTM6Egt10mMG19OkipKrBYo+mo/usOPLk Wo2fi1vkkaGgycmIqezBBifRhtDmRKW+3Ce38lkxvcweJhhb6fvkDTcmCYKxnQZmTRdc70PaQD6Q 3Ijj1b9aNVDol+gawnOxoWxAxV3wa7UMKLPXQJft92FMFF1HbLnQ34bSMcHCpQYiy4O5NyebA6g5 7V4w0IhdvZr762utzSNOFp+XletRx91AcUjOtR4ePCAghBmuPuiCOcv5kfTaGUi2RRZvUr4jfNfH YurizM6M1mpHquNhT3rdjI0Vu29BzslcrMCGrLvOvbYujtHOFnY/Up6zhWN5oHggaswVbRJErHTd hm6LUF9/sgZqyCie0mZMjaFc4ya8TrGfXA9r2YFlBTWZI8Vc2wwjNE4JaFSEFSPr2W482ro7UlRk Mi+Eb3XFc8Qc0yxL8qIma5ayjC3xxUDF0zg5Q+4V+nZuoKvzmLo3GmszbnoNhBngZ6I9MkXLQHVm VZXqd8sDBt4BzgxBduwcvNdaVNQFI6YJVYYVogRIC06aJMaROafx5+KW/PzLLjkIhfHqMuO+47rk 13AcHsm8fQNJUzJqlQK4xc8+YpwpNEzJyqait95AseEpW9KqntqAMqcvvf46AuBFPKqShL6n63a5 EOWJMajydDG5epdA292HRPKcWg4StXG0S7ceApdlKIAL4F7cuTKZ9K47gXgmZO5MWryZ0wmOOiSt lSukf+1LHx34UkDaXd7uZexd+lsxM31nEiOdlgSAo0vJqf2p0ChpggJ1vlziq2lpApgbqaQMClZF 7bUKWRmqkgdNF0/RluUJfmSvh7QHLuQzAp4pZ77OLkiN0fDUBCWjK1n32+XtcifEX80FdDR5W94s gaazTD17Qrpup+IMbHfsEGc453iu3F8gnww6eRQGXByVFEJvLCBSNmp1TmwY6bYg6XD+EQXiKRXE IXHaU3hGoyDDVbGhPtydR3cMEyTz2Yr5VQ7go1o+4EO2IDNyjhTTjAUjLorqyuKDNhI1YKKp2GQz KQV2dkfMfFcGhC1D+hx4CFNvwAhf0FKWYIvewnD6HMzWllq1K43kZDw4q6P2NpzMAW6Lqq0j8aek p6hEcyMpU2o1dxhg0VMzj45MBeSQFJQ2rZMdjqeixp4fgJZFkz0E7Ek0F+JBGuq6py+d1/P5l9LT RGwTg6N9GyGL3RqPf/QwI+RpTLtyZQb7ka2OvJaPoKrA6qnCKw67qalAbxmMkxSpIQ4Gg4cYsHGn AhTeC6fVdIFVtzjq0me875HtkAFM71Mv++6zdluKv2mG1FFkdbSYO9TT8j1FGbG1v3BxPwChroQm JeZZE5VZTI7/1fbjorqgdwgFtzROCBbHwYoFpbGnP1/eHj++fX9HEyMf1FDPqxvAMtpQQKYfTUbB Q2XDkQUh1uMUjEvkn/ePh++zrxCA3cXS/fL95f3j6Z/Zw/evD/f3D/ez3zqqTy/PnyDI7lfc7jiB N1VlogJT7DLQPGNkUL1B1nuRmCUleXKiTn/JF/LJLH/+slgFlNUEkEWv0GswMaTWuqv9nLpykhOc 5nUSmR+om+DJtkz+Ftv6+fIEg/+bWBpi3C/3l1e51ydWKRiWtABb6dHcuHF28DCkKsKi3hy/fGkL nhoLRmgrtzhPDkBPKQSGdRYv2bri45ta8l3TtGWhe/pbFxYeguvTDSkX6PUCGFjiVz/tWarWJKIV c0uQeEkZrHmZI5FmR1rESz2EXPwYnlga7bh1CYipVCBgd0+PKjTCZM1QUpTJ9333UrLRS9SQ2zKd PpULJf8p3/z7eHmb7POyLkW9L3d/EbWKprp+EMBzinpOPXB9WCrHIdQORA7J8Glt0aSL68ArLca9 Ka1pAerFm0k3tELSg5DX6KMdRkyoKtQNBdKvzy44qU7G1v30n8dumecXwQaNCwV3yOHHvcWaYjeY RA9S0jHuOTca06H4NiWHg2iX3l7+dPn3g9lUuSNbuP2m5byBhNskwYEC+kImTMcUAeqtjpAZKnAm R0Thzo3x0D6mBAFE4Vk/DnCj6QosFk5MQ9/SYxp6yWOa4Kc0vkOdPTqFOOjoYVwFLo0IEmdhHaPE XV1bc93a0raffKEcYnJJX02JhRfuM8xNNLj1ArgEn0GcA/mcB3PfGaCjDA8JfCSUHNGQ1WI/3bZB UObB0qEFTpBxwUMUbmycJaU+9sWwqA7WCx8p2T0uOnuOS22OngBmZqlNmQ4PHKpINZdXOyZJaMfj noRb8rv33TbwxtfhjbdqdP8RA4H1CxO5i2+ojvXouG6PYrLFJMJF6LWxY2tnTo0dW7s+Ac9Z466E Om3FeFSzJM5zr6+SlJdQwFUaUVCwxnGzBkVWBitvNTZv/PLAtvrC14p0F/5qhQwHHS5OuienJdHS p58Y6qnF4C9c/3onhSg4X6yutL8u+dJ31uSy3bLjNgH1zVsvru2m/oqMKqOqfcfCSfsmHCPuOg69 9oe+xuv12mIW3Z1tMSHysLQ83tubtChZElzkCs5T9AIY10VwSSJNNjLuT6Me5VREYqmGCx3BLIFA G1BpX8SwLvcZJPoyiDcZ4zuSOGlqXdkI4S1RqieAmIhWUs/+48fzncw0Zc3NsomNyDOAaOxXh/L5 Sre19zBPk7rg8rC/zjcowTzUbrKkiVDqngG1y6I4wgjwsV87+DJTwuO1v3LzM2UukQU2pec0RiUS ZgZAAyYHGw91XyQ7IznipAUA9T3rrcdAQp1TPXLp4RZK2HwCQ3xXwpR6iiqDnO3wGBnk0rY3KY/c eXeU2GlKb+nRuZUBvUuXC8+dXBL3W70Wmj68NjE3G5je8KVH80JA75PcMBhpSClUYFPuCLaNcC+J 4LHTuDuGrlZLb1KDgvu0wDoSBJan5gaCNXVCDehgMRktda7R4VUD3qOF7QG//sn3a1o4lvh6OV9S +laPXJsjmBw2nhvmxgZGVhANXiX10exzGW2EVDi3DZU6qMyPqsiv/YA+vyR+Hzj2blYHv166gaVG nkQEb+TpYrVsJtYVicq8wLR76ujcdwz2yfe3gViP+mNSYeM7zqR4Fs7dDmztDa/z8gr2lkekaR+Q NWRtm8/9pq15xEw2nJXz9XSNgmQV2MdWFJnlRyu6ZFnOyNsKIfC4jq/tWyUCrYydrKDBkoKuJztZ wj2XkrT6xoruTPl8h/CX9r3WFW1bRRIdLKnWr13v/yi7tua4cR39V/x0aqb2bEV3qR/2QS2puxnr Fkktt/Oi8kmcGdc6dspJdufsr1+AUku8gFLmwU4MfOIVJEESBGgqtUoBD+ZA8tJtMhwihPXKic+p 8vb9Lg9AbV8XqLvcdkJXw4gyULiSY2uep24MxckfisvKRJlXyQk08ph8iYLLd8M+VqWqkYxEeWvE VZrWC3PxHolXp/Bty9FptiYtsAlWZk+VGanJRJ6+QOFe2tZWWwWgru7TBlyrEs/W0+a/6lSAOhTa 0cW8uF5BoLGszIVzSiugtsOFn94pT1PQgb4/XVVHr/VEjwZ5rEScn4nGY4wFMb4y7au8i4+y5+AJ gLfS55i/mG/Phbj/WzBo2sAtlEQUURzQMI4wsOlLXRGFysuvoAKLkrkFhGp5FPhUmakDE4Gb+q5h tRdAXL1fL8BV26c+5/r16ueCOq/3raIQKxzXwHFsy8ixKc4hLn3X9326EpwbGV7bLDDW5juX1Dwl TOCEtqFHcEkN1xubQ8gW4WcaZCvOixjJ8UnRyccJ21BOYAYhdSS8YHSdWub54iItsTSlW+JGgUdZ IyuYYCWBnU+fWqiF2NEKpAKLHHr5EmBJbYP6sZlp7Xv2Zlp1FPn0PkwGbc5ARf0h3JHW9QIGdHp6 wCBHPvGXef7WvDJuFzZAaGHgkWb4AuZw/og+16hS1j2MWpMocCZ5W61gdmTaH/CNvHp/qbDx4Vdv 8s6+YJu4rfdZ09zXTDTERP9TrDS9DZ8/7rzI8HxRBBnP80RQ0W8IROsUdWzZdJWR2W6sFa1fRGEQ GhKY9j0b5WzzI6hsm4tnC4lZgcFgU0RFmnUXjQqpfdKCAVXct2FUUMKib19knuMGpJCNGxeHXOf0 DZDKiwK6na/boY1KX/covwKD7ckWbOUdg6CJqXfKGmLWjomvR4V763NFYVbGbB7v2Z40TE50G+cE /X6TVcpZQ5pKozEFRqcVX4OzZiizmSHRm8Q30AOS/r6n02mr8p5mxOV9JXDmCiDvFDf1lUdUhuHa lg23+5RM+lLUhoRZUZVUuiKmSYpiFcObEu1mqfOCJNN7i7/45ByyaxY23o+ORsvLjQamdwpdh7KG Gr8kvpIYkzcCepc0Afdp03PLtjbLs0QP8ls8fn56uO6T0CmleGg/lj8uuO/OuTASd3xrM3S9CTDF 1lpB8Ah+JmabNibW1czLxOdXyWIbXreIepWFpvj0+ka8z+xZmlWD8lZxap/q6hSN6Mi03y9SI+Uv 5cPz758+P756+dPLz7/mUIdKAXovF1aDhSZv40f6HB5UZYyb14KVXFEoj6IJ3YjozqU48ngOh7uy SqV6UOWdPKL98fTj4fmm64V6zK2GTVIUZPwLZEmu3zg2vkBd4hpfb/9XJKcz+a4bK0MrRRyWobVo C/LPYJrIuS+6irYLR/gZveLp0QtnF1ha7cSRpN18cSHhr/1nUeT4u8d/fXr4Sr0n4Eoe7wgemJNo KEQc26v5qEAs/MCwLeAl6HorMBzg8CTzKDA7HOAZDvuspD1sLhAgZCuZjJiaxWYXGSMm7ZLWpGQu qKyrCrrrFwzam9dsq0zvM7T3fL+Fyh3L8vcJ/d53wd2yMjO80BNAVckSs2OOEVTEBtkWIM0udO0V Fx8jrLyLDDYzC6bqfZveD0oYw6smBTNspVTHiWO4gJJAobsi1wLK3hKqNvNWfLNMmHIHpTKcT6qw rfYERYldzF5TBNCW5OEvf8UjiIjarCJH0bcNKoo+QlBRm62FqOBXymWbzo8F2IfdduERQ19ASyB3 uwu7W8vekncA2ba7WSicglfc7Eyoc4m+djZQXWBvTY48uN0m5lwr/l4oVB/57tYQ7BPLNdy+CyCY 8cwOlEbMhTXcs0HCtmbQj4m7sqLVd7QATMsrLELmKn1s3MBbSRs6/C7br9WldRzilWb88vD8+gfq D+hNiVj/x8LVfQN8ungj4pQCZoXPJTKwppjphnK8+7zoM6vlic+WcmUjt+XFcRV/ABKD3iLJEFC+ 9O+7IlCOZlQl01BsrsoZ/FVNvIF8i9IWLWfC1klWRfdO4kymRbX8FIPi6o8KEBW3trySCcrgP7E2 vz1I/fL7eq9khaNcyY0u9F+//OAvOz4/fuExod4ePj+9mpLCwsasaWv6aBDZpzi5bWj36eP+7aqi m/fBXAqFuHi8BJ9ev37Fi7oxuqVh24Py4dkXbZvSjwEwFPr+fHCUO+qFTuygOB3j99TqRmj8ouBB G819vSIFyv4LBatlcVkNRdpJW8mFQw6Thc1TPEgvEaFKy16Y8FItAaGeDvys4rAav5Qgbs7XgOO+ qEjeof3iDSR7fSclvkvHqo0OsHu1VkI0V3NJzSB5vy+F5OOkh5dPT8/PD1S4sVHA8GDJmQN7xz9x CH1+/PT6GbD/vPn29opx6vCxDnpH+vr0l/Ku5Cql3CrCOPl1aRx6rratB/Iu8ixiPszQZY9vnk05 wCG+LNrapU8zp2HWui5/7KHO4C1o8tQt5MLOXSfWapD3rmPFLHHcvco7p7Htelql74ooFCPoLFR3 p5171E7YFrU2K/CDyX13GEbeLAa/1n1j2NC0nYGqTLRxHIwOopYAkCJ8OcoRk1DX0rQPbYM52YLw Ilr5WBCRt6Yf7LvIpm42Z64fqI0HxEAj3raWLdq2T9KUR0EfBoHGgBYKbfG+XCQTCgK/F4YhsFKT rq9926Nu/QW+r2UJ5NCy9KF150SWp1N3O9FJiEANiEID3TYPpb6+uA4fg4I8oJg9SFJICFdoh5pI w/rnX+cC8fCNlLrHl5W0nVCvCmeQ7sMEYQ21xh3J2mBFsutp7cjJO1fPPU53brSjrkcm/m0UEUv/ qY0ci2iRufZCizx9hbH+P48Yz4oHGNWa5lyngWe5shGFyFKHqpSlnvyyXLwbIaDlfHuDyQZtksgS 4KwS+s6p1WYsYwqjnpc2Nz9+vjy+zclKi3MRXxzoI7Lw6qdzlLtHWBNfHl9/fr/58/H5m5C02gOh axEdWvhOaLgJnFZVg1X4ddOCjxdYqh73CIG/DAUcK//w9fHtAb55gZndrDafmG94VTOVsYCGo8+u FoDBJGEBhPSZwQJYb6fi4m6VwfXpA4cRUPVOYHBBsgAMhxECYD0LP/A2AfQB3xUQmEzflxTCTcBW GXbrgNDx6aOpGRAaDjZmwFZTh1u1CMONFKJoVWirfrdVht1WU9tutCrWfRsEzppYF92usAzHjwKC 9Am38G3ZbdrMqC3Dk90Z0W1m3tkG04IZ0VuGY2QBYTgLWxD2ahptY7lWnRjMF0ZMWVWlZW+hCr+o csOGjwOaNE4KZy2J5r3vlaul9W+DmL5cEABrGhwAvCw5rg0hgPj7mD5jmBAFi2vaOmI6Demi7FYR 36s/HnJhGMNQA41yNHxVQEJ3dXZJ73ah4XR4AQRrgwoAkRUOvcFpglQ+XsAx1Lz5qC5F+8C17kCD esNV3wwIvIAsjpz5qIbUTFUWFj1D5Sm39NNd81iLn99/vH59+r9HPAjjyolUO+EL9NhSkwHFRBBs ou3IkUzfZW7k7NaY0mMQLd1QmqMU/i6KSMt+EZXFfhjYhiw4M6SZRedI9s0qLzBUivNcI88R934K z3aNtUXHxTYtTCLsYr5Tk2G+yRRPhnkWeZYhlfuSQ2J+ayr5yA+pV7kSLPG8NpKVXYmParbp6Y4m NvQTHgF2SCzFbajGNRsNCSBjeady0CuYCMx+oY0PCSjCJnmLoqbF43vCiGkqyjneKSs2Odgd2zeM BdbtbNcwFhrYJOp2Qdeudy27OdDcD4Wd2tCG4hGVxt9DxSTfktT0Jc5r3x/5Iejh7fXlB3zy/erc hz9a+f7j4eXzw9vnm9++P/yALc7Tj8ffb74I0KkYeObZdnsr2km29BM5sMkOG7m9tbP+ko+rOVF+ mTSRA9u2/jInFdiiHTc31IHBJF8AcWoUpa1ry84TqFp/4rEB/uPmx+MbbHR/vD3h3Yeh/mlzuVUz us7JiZPSphm84Mw4UHlhyyjyQjI2+cx1r4sVkP6z/ZXeSi6OZ+ttzMkOvUrz7DrXMESR+zGHnnbp 7cDCp47/eDv4J9sTn85fZcERfd9fZUrxbzljd/TuVBCgVVFUsscV14pcjQj1kO2Or2DHYE2A/D5r 7Qv5Hpp/Pc0cqW1ppeCsscv0skCemoTDFLYy6saUAjmlkRgSRK1PQGDFlZ5n2MJCqvUIjDJ6suay tI+C2KZaEUouPxCaZbu7+c04FuW+rkHXoVfsmU0r/lO1HToW0sJ1lEZB6XUVIswJqVq/PPAUhzta 5T2lcctLF2hCAUPRd9TEcYS5vknEUrbH/iiUS+IrOdHIIZJJaq11NdvvTDqSUDNKz+BX0Iedpcp2 lthqpXGQuvLLirFHUgeWVaO1K7I9W7QfRXLT5U7kWhTRIYl4fqkPhUCZnT6mNqziaOBZzQ4QUXaT aT1ZkVqcISLydcrShI5Nj5iVWXucGENtRMVdC4UqX99+/HkTw1b06dPDy7vb17fHh5ebbhlm7xK+ DKZdb1xOQEIdy1LEtmp821FXZCTaria4+wR2fwaFnY+aY9q5LvnIUmD7cl4TNYhVshq7ZB7Almlx is+R7yhSMdKG8dpcp/deTuZh61Mba9O/M7ftyIAj0yiM9JkCJ1rHWpzFYm6ylvCP7SKIApegBxil Nbgm4rmzs96rMYyQ4M3ry/O/JyX0XZ3ncqq1GN97WfagSpYUg0Zh7eYbLQw1/gkK/Pb6fD0KuPny +jYqRZqy5u4u9+8VwSj3J0eVIaTtNFqtD0NONelp+CTWs3z1G052zCrDyDfN53hU4GrFOLbRMaeu zmaurhHH3R6UYjJI3jTDBIGvqOns4viW36tJ8f2VY172caZ3lZn+VDXn1lWGadwmVedkCjLLszKb z2ZGSx12DQJ181tW+pbj2L9fBeGZcoB7XRMsYrtS03c8pt0SL0b3+vr8HeOEgdQ9Pr9+u3l5/F/z 8OWx3YdDRuZjsgLhiRzfHr79+fSJ8PKaNuIy3RT8vgrULyZT0xomp8vV4bZUd+RyB7iFwY37DGiz /IAGLlT/Aui2aCfv1XLeSD/sFxaRMhSvaDFMR13l1fF+aLIDZbuFHxz2GMIgK/BRGxOjKy1MjJ02 mknB6ihnNwLyLOZxiVvNLakARTfoA+yy0+HAmgL9SGtlr/HhlOHzY1YM6LvM1CImHn7XntAqiuLy +G6zr+3pfvkGpjr6dhQ/GR2tg+oWyEmNnqZzO/DUenF/95eaHxzuDGYfGk69yhHcKJuKOaoiTUHa S2IzVUWWxmSy4lfyR/3RFI4AmbeFSa7Oaa62Q5PEsNTcDae0YMYkOSjvydB4PEseEmI41me5+eu4 5EEJpiXz+7fnh3/f1A8vj89aO3DosK+y4cTwhb8T7gyHChK4623LvjsXQ5kbduYzfKX8I2A84FYb aORlOUvj4TZ1/c42PJBZwIeMXVg53ELRBlY4+9jwkkL64j4uj8PhHpQBx0uZE8SutdUALGcYfBz+ 2UWRTd/xC+iyrHL0+W+Fu4+GJzAL+n3KhryD0hSZZTweXuC3rDymrK3z+B5aydqFqcHBp9AfWZxi 8fPuFnI4ubYX3P36J1CmUwrbCcOByPxJWfUYInQoYUNpVMFndBGXHcMwB/HB8sO7zHBFvXxQ5azI LkOepPjf8gz9Tlv/C580rEV3o6eh6tCBzG6rK6o2xR+Qps7xo3Dw3c5gnDl/Ar9jfOGSDH1/sa2D 5XrlZh8afBhsfnWfMhiATRGE9m6rvQR0ZIq1K6Crcl8NzR7EMDVcyQrDdwwpOLRBagfpr6Mz92R4 k0CiA/e9dbG2pgDpg+JvFCaKYmuAPz3fyQ6Gi3X6wzjezCZjt9XguXf9wTY8xlyw/OF4/gGkrrHb y3ZJRnxreW5n59k2nnUNPsGC7XsY/k30ZuOjQWqcXDzHi2/p2+sF3DXn/H6cHnbhcPfhctwajz1r QSmrLijEO+OR7AyHKaHOoI8udW35fuKEtA6uLI/i8rRvWCp6vRKWwCtHWmGXHcP+7enzH7rSkaRl i/qzseTJCZq7gwxQqVpZ765TPpBK7kDZiMwhPRz4ebcLDHYaHAaL9IAOA8yrWZEdYwzrjLGD0vqC bk+P2bCPfKt3h4N5CSnv8nnjYNADUNGru9L1xOvcsbWbOM2Guo0C2U2WwjQYAyEK1FD4YZAAuXfk CLaznIuaPJIdw+PPkY9qyyQKRlR3YiUGMUgCF9rYtgwmRRxatSe2jycz4cA8NypAz1AvBRaqFVT4 9IW1DjSYiHAgLGCH2ltZ7gHRloEPomBwXXhNpk5tp1Xc0kug0R8DTE1xeQlcg2WeCgyVJ0TKhgNt d33pbFFm4JZMbUU+potTWke+wYzEPD0oW57ymIHqYKxI1pVxzygXzbyaTVIfz2rpikt7MDwMw/1g YTtn1zgwchzx99T8B7pUVnZ8kzx8OLPmdj4GPLw9fH28+dfPL19gK5aqgeRgq54UGMpZmFWBVlYd O9yLJLEe1y0y3zATRcVE4efA8ryByVBKGRlJVd/D57HGYBh3dZ8z+ZMWtu5kWsgg00IGndahajJ2 LIesTFlcSqx91Z0W+lJZ4MA/I4PsOEBANh1MPTpIqYX00OuA7/QOoGdm6SAGmgR6ARP/dCTQKoXp WM6rhSFktRNmqbP/vMZY0k7GIJlzn7Vyo5FxqrHgdsp9ahuqJbv85ZQ2OR8uEk3Zb2NX70HaL51n elUOkKtTfxN/8nRpYhcZqkpVQVlqYTGXTe7VuowaKbxZ9w+f/vv56Y8/f9z84wZ2OGqczrldcffD HWdM3nyWNkCOEBxsomL8mpwdT53hq4WvuqFdOLr39oXHnUDd5Rk1SBeU5sxeYkVRYGaFFp0xFSSF qlMgPq5aODVGKWxiiqX7kxaKpLjvF7LqoYJhXtOl3aeBbfAEISTeJJekpGcAIaOMjgm4IUHXEnML SGXwTyw8lxKLD0toRWalHR9fU2ircyndU7dlqs0gJ5jRNbkGovgd/LmEhOka0Om7E9HTAJOC+J7H ZIREYHnNGjY/c2y/PX7C+yMsgzZnIT728LhALUqcJGe+TafLAPzmfJEz5qQxlLVIrWsx/MVMYo1C bM+tQjnDEpRrbZTlt4yWmJHdVfVwoM2OOYAd91k50LFtgZ+c8JBCLglsCOAvlVg1bcwatXxJdVbc UUvsIk7iPKeimfKPuVGaliS0Q8cwBNje8g2bAI67r2GloY4hkQtyc6xKPB6S1acrda3RMryAWGHn 5AI9sjIpcMdIq9QqZh9vM1OjHLNizxptsBwPhohpnJmD8laRUZqRfaryLpNMzkbKWiVBKY3zlNrc 8Qy7IHIVkYYq8SGkUO+V4XBOUHNP1PrdxTmI8kpxsjt+CGcq0H2jXO8glSVxmqk5sY7e2SHvfbwn g5wgr7tj5UlW7MZqly3oUR0ZNgABeaJED+PETOvhPCurnj7w5GxoNZy6DLmAqsqSAmRAq28BLdsY YguN/HseXccIAOWSDxtTzixpqrY6dHINCzz0aLJ7rTjnvGPaXCtBys4kd2XXsKOaYtUoDmAEHqgB GD8JxoewbghEbQIHDRZasexUahfn96WyBNQwT8JKTBLH/Q5Bnxd6tRpXQJ5QupaEyNLW9HXCKNsm joBpi5/8JcrKUzd4S6Qm2KDum1KaL+dWSRIrjQTrgzrNcCo/VjWk00oLDT9sVHukrbMMt5d6yl0W U5exEy/LMcRUplR2ck4kE5uCyYQjHtbHLRP0x5mkF7CIm+59dS+nK1K1T2B9qxQK7OuyTJElPGg6 FioNA2+PoTnFFhHpaxP7GTWqoW7pg0iOcA4fM4PjpXGqhjXO0O53jBVVp81BFwajypgg5qZ6jBLZ 9ykoW5U287Yw81bNcDrThyFcqcpr2q0GpSdyBRKdzJAKLPcjo2qftazVThglRPmcqZr2EiObypAH 957SF8Mei9grQ0pVKEx1Sph8siDo0pJXR4E4+rqRaTDlDNPcK1DPec2mOMgCFbY5p+EUt8NJnBsl j0Mc9v+MXUlzI7mO/iuKOvWL6J62JMuWZ6IPqVwklnNzMrW4LhkqO8ulaFvySHK8V/PrByBz4QLK feh2CfiS+wKAIJimsND6YZWG6zZ0bSvG6xelsd2s4DoyRlHkwXZSoZrDeGl2RQQJs5SVYi1jjpeC RTrOSJxqW5ZzMwMgweqZBUu/jBl3B/tCXMC4N8Nu2MAETb3YHLcGPOKJ1QNcdIF4bZDP7H4TgXKX sFymGIA49h7/Gqls2af9ID+czgO/930KTG1JDIWb283VldWR1QbHlaRqFRX0HP4DjS7k5NNFPYx4 6ByZYZO2q3E2y9HwapHbhcK3MIc3G5sRQYPCNzYj66tBUPXHEjWObYcR02E4HlGtwuPpcGhWSUMU U3Sbu7u9UG+yQEgUIYQSGd62611pexr4r9vTyVaERXC5gqWlKpYicR0YVSqTTrVOYV3/74GMHZeB QBgOnut3dFsbHPYD7nM2+P5xHszie5zMFQ8Gb9tf7R2h7evpMPheD/Z1/Vw//w/UrdZSWtSv78ID 8w0DC+/2Pw56YRucsXhJohmnSmWhSi1lkobZEMRcyRNHel7pRd6MZkYgBmgqnspkPBjpt01ULvzb o3zhVAwPguLqjk4defqbLCr36zLJ+SJzL0It0Iu9ZUApOSooS0NDmVO5916ReDSr0coraEPf0YSw NFTL2c1oYrXUUl8xutHM3rYvu/2L4velrmuBP7UbXWgltF4AbJZb4dAldXVx8QGA/pBp89Ey8O2k iCDM6soapJzy1hVlF1M7KMxEG0Z2YacRiLkXzMl3sDtEgM87FVncrRn56/YM8+9tMH/9qAfx9ld9 7O73ifUk8WBuPtdKaGixiLAMhkr8qHd0sNaftmxpQl5wb8KIcLwy2/Fl1cjEuzpZQ0ivnNzoBpwS 8ERCWdRb9nXeiMh4ZJVZeuBun1/q85/Bx/b1D9hha9F6g2P9vx+7Yy1FGglp5Tb0CoYVst7jFYpn M8ChyAjEHJYv0FfV3UQjrW/tNC6PSgEpC1BRYQJxHqKCRnrWiiG8wFA3oRXGu6WDqkGZazRIYoo5 HYclGwenN/lq2YqnsPWwAN0CIhq43wY7ui5nElEUhECSsBvKW7/hjW70cnrBslwaZefhioeW+BiH 86w0X4tX+aZk0i6u/uOtf2NNMf9RPBXtSIwFrXVIlYzKgAl7ppmWMFo3HinkaBGAKolYFYHKKV+4 du0pDKTS2Wpu7BixUTkYdqANrNisaB63Uwufrb2iYCYZRR9bfORhKYWiiG3KJfksoxwvaIWJ1nqS j/CB0XnhN9FUG2v2gwSPf0eT4cYlyi84qBXwj/FEjc6mcq5v1GhuomEwdjC0u4ijYFcQ2jrjhv1Y 77syISdB/vPXafcESq9Y3h1S4UJZy9MmFOzGD5l2B6D0FqvMDE9rTMWx/i7S12/Xt7dXmL5TNXaU T02YXv4l9ZOlTQVVzjWtQeErVZU4ehoR3FaQSZcJaL9RhIdsI6Wd6+Pu/Wd9hJr0+pXezBEOCfX2 laqmLNWnZUW2hU1rNQadmm88LeyH2PBXlS2fCOrYrZDwNMevhKLjFjawBK6VcQZfy3z1PZjcd0Ha HI1urQnWkKsgccmrTY9s8O2Djfm5vD9j6V3qkCO7yphv4p8RLZk2e/j7scYYd4dT/Yz3iX7sXj6O W+vxEEzNaVkTK01JG8VFTavUjLBjtUPkNnFEy1Q8IHIBkqD/QKuRfTKNSlzvL0Q3b9XLC4gFu/AI RfVJcHK0Ydpirta3n3eNsqA95uTFHJEViFIVX7NS1YaSRJtR+brg4QNIAwnt6tXw3WF/Er+axZl/ r+UgSY1V6q+pymk2BiVGsQxT7LbqdGXBz12PxCKPB6AD6eUQJFgLykiz1vQsEJm9wuMO7yYdJ+z5 l/IWqPJu6MwKpNSEL+iW7oF49gcCxSeoCP86/OF7VMLiWegtyVA7AGrdjPRWC9bmb7oJgT6Ll2HE wpieEQ0o3DymGT19G8SCjW/vpv5qRMe9kaD7sVkA3JsdB+3IXi1xr3IkuISO0Ku5hCZjNzBrrnS6 /yDHlZb2gj84Ek7Ke3oAbMLUcZqpDBLXO3Q9xEtuJrTfbhImvGQ+ZTpAU3Vz+tZQhFlWuF6ppe2p lftsVQGJQ1E/ix1O3wI5K1BeTVH+X6xRCkznoe18g95DlmQnvm8dqqxyeun4ajRxXJ2RiPXoakhZ K2TB/ORmPJpa6Qr6hIrjINjCH+3K+kqQKaGi546N5hfh3kZUSjd3jriXAiBfbXXz8b1V17MhMod8 fHdND6KGP7kivR5b7mSzsY5bOp5+cbwnOzsCuTdEO+TTCRmkquVq7nl9zSf2UEH6zfhCk8rnKN18 6WroKov6tLk2koLRVA2jIgel6XMoT0h8D58BtUpexv7kbnihM2BgqffW5QAJ02g0nKnxTgSd8fEw isfDO7uFGtaIeNain5rC1P39dbf/+7ehfCKjmM8GjePfxx7vvhIHlIPf+jPhfxmTe4ZKY2KVJok3 0Kbu7sBX3N3ckkGzLIkXWDRQ/5ZrV8vyuHt5sVeg5vTKXinbY62SJaQxRANlsAQustLs94YbMH7v TD8pKcFDgyxCryhhr3elT7pvaAg/X15o0gbkgTC+YiXlBKZXpznh7M/udu9ntBCeBmfZyP2QSevz j93rGa9LCzl38Bv2xXl7BDHYHC9dixdeytHv31Fd+X6mg5l7qW6G07igvFkH4XQq6AZK7+h6mzle ovB8HzZFNsMrvI9/9Y6g278/3rEpTmh+Pb3X9dNPLbQnjegzZ/D/lM28lBo0RelXMdPuNCDJ9eYh aLD9EXf3RU+1JXJ5Cw0UX+vCBRCrMJ1rFy6Q1jizC9EgDWOuc7NIzRlPwQo0v84N3VotmxAMHRG2 QZD0NgxRtBwe8bgKab2didtwDJh6KAGpxFffHtMHfCo3p78WDukL/LpK5ok2DXsW1QNrUVjjbZ2G qqbCo8rMuusL/3VX789KX3j8MQVtbIOpaO3dKGhWl4HmyvpgT4k3W0a2b4NINGK6CZ+vBd3VWZBQ lWSrsLl4cwnWxuVw3HyWIFgIHb4zRqmVQbXcECbjVpVW76fAD2jkYoW2fFY86IwAg1lQjLxYcu2V o6J7O0enqlk18RRgK9cuUjXkGcb9cKgTDYSlOan4tQknLCMSRnJ7L+rCw8wNGscH3voNg8agqKUY 5NSAXuG5U8WyMlYfqNHPJyWmqbtGS3UzqiSKU3xXTisu7RPGN+j8yRvnouZ2mTV1kt3T8XA6/DgP Fr/e6+Mfq8HLR306Kz5PyhMJl6F99vMifJw5nhnkpTdnpNNhgpdd+2efujW5TdTS5FtKlbNcdWX2 YKr5sWKwgR8iVkyW3S9zGwijN8w9de1p3hSTiXRF76kYmff29sZxqVLH3V07HjpQYJxNxtf0dWED 5QjVoKMcUcN1kEM70kGO8IsKyA/88NbxlKcBuxt92hC+iDoFgtqnZRslOXfcsFZgK//TLJtnqxNG G38V5AwmFfHeIdu/1Pvd04AffPKgsrloWvnz5SV7jgkbTWjnSRPn6CIT5hAWVNhm6IqAoqOmDqNc iyr9JbYXuUORjdUnsVjznKVoW7Wa2X89PP0N330cn4hLj0I/kZKURsmLbBZqKwEvfLnUGFcdutKb mo6F4I/c5ejRQlx84fuCx+WwZpU31zOyjciadqukx+JZpmm33ZqZLJbEutoKlMZXTUKVGQasrwuM /GXrh2p1R1G/Hc41PnZGjfkiRF9jaHyfrCHxsUz0/e30QqaXgzwspci5OIQFAlloCZR7N521loWy L+H9uTUrbB8V2FwHv/Ffp3P9Nsj2A//n7v1fqJI87X7AQA501wXv7fXwIse3Vo822BXBlt+hjvPs /Mzmyqurx8P2+enw5vqO5EuXwU3+Z3Ss69PTFhSsh8ORPbgS+Qwqdd//SjauBCyeYD58bF/xlU7X VyS/E8MznKitsL7Zve72/7ES0pWXlb8kBwT1caeI/qOubwuVC6klKsKHTouQPwfzAwD3B71cDRPE mFUb3SJLgzChtVoVnYcFznd0ylAUGRWAriscxBuajbYlnnu+fgFP/R5UZRDebUWrqY/lkdxXvQpX ms0i3JR+byIJ/3MGpb71gSWOwCQcdFQP5CbqZKMBgGA1vJ7c3poZSclsqj4U1zCKcnp3q8anbOg8 mUxUCya+2Fpod6Pk9glyueMIkTlEh3xte3uA5iRC5hGXCooH3Bh0UwBIJ9ThJ2DlHuarsegu7mqw J2PeVDkVOZperq1CK+nn6JE2I2+IFCH6+8CPssjiWNecJG9W+AkvZ/jLd9z1l0BpmJjTYW8kBGOd PHKfENDQs4V/fD+Jedw3eOOs1jjWaGfY8Twx/WEa7szHYIapJ7yLzE/hZ3u2WZVZUcBEoAeGggss vxsCxFlYFLQxSIN5seOaIqLQ7sOSzTR5MP2DNFgC8nAbQohuA0TlG68aTdNEOEuZbdAxl66HxhEl dnPpb/VPMObYVFBtfLCL2ZXAHY7MYDnNCNeHSFdRXEZ9T5uTLIB1mqVfQ588clY9q+FHFee9n019 RDeb7f4JXU73u/PhSKnZl2DKmCf8sb398/Gw0xxUYS8pMtOboxUqGriyBXjUIUy6giVRcT3DnzjV 9NeiG3KewDQMPHvhW6wH5+P2CX3FraWPl9r5CPxEub1EG5Cr23sMhl6hpxlihKORkwtCXwHzBijc 8E6mYN0BxGfACP10KWcSuYyVC32FlrSKjrPQsXmpmD46Kgx8gpqXjKD278a3d9PsPunLFeWOEHER aYkCCSDLtZnCWUYfR/KYJS7zkHBN8mWcNYc+vnR6LyWW2tXaRXV5Q0bT2eHJgpjw+lNnHgZBLaEX OcY84+SxF/AYejJo0sSo0qdEQ6o2XlnSBQbEmPZ4BM61ndy1KFTGMbyWT7matxge+stCnrmoHOM+ ztdZMNJ/mQhIKpn5nr9QJMkiZNAowIk4QQSof0+CZTvoQkDPJGtFItu6kcCvAkO0zMYoMP5udNtq da3TH5ZZ6emkrnjasQgwCnqYIitLhYmZ+4XjHiyC1p7jgA2ZLmewecRHWm0yv6N0CbS0Khv5lDtw x+elV1ppNYHEPX4fZ3M72QvOurOyGxzdRy3tk27uYGIUicVgbna1CS2WIMN7KaCEKUOpiIQYI1oS Qb8Ji5IsYRFG1QoEQ8dBTcpi2Wz02jhyjT9jDHWzEgegOc8lrfExzHIyOQZiCPJBwNetOmmAbhqP GoIuD8iMxWOux+bQyKCAzPWAYVw0DdkhEe/iyvUChX3i1a3zgiNUUS0Hz/mJMSvFTzwsEfYgsW9E hkorPF0bIM4zoyX600mBcE02yS2LUFkDH6IElo2hSRgZxfNLpa/xYmPEr7V5K2kaKVpiCByF4BuR Q5qDKXKUYbx8jFRqrAQdFSOGMAy1VwVkNAoK6cVrT4S3i+Ns7UiWpUFIb/YKKAmhRbLcPoTyt08/ tbiF3NhyGoI5lwURx7lW255K3Tvonm0VWcrsgz+KLPkzWAVCKOhlgnas8uzu5ubKaNSvWcwcftbf mHk3q9cug8haO9oi0cWQhpeM/xl55Z/hBv8PaiVZUOAZhUw4fEkPlVWHVr5unVowNm2O13qvx7cU n2V4rwjU7r++7E6H6XRy98fwCwVcltFUX9xktpSeURozQRCMLhe0Yq1KsRfbRmpep/rj+TD4obWZ skpkvms9Fzx/weKgCCk/q/uwSNUit2pRJ6zin343bFU8uzy9DYdL/wJIqQwTfRoX6Fjq2mC8wNp1 GxK0F4WPLHwoFn5XWyxcOQNDhlJR997QlgHCCxLNzOj70Pj9NTJFnpbSjBDldZCOs4atKpSn9kSW EsZBQfTUOGvd1624atJJUbDjUtKphvGzRFwVxP01E9usValv0n1Jo8XfMpNU4FGVXQiQNhk1Vpvs RQDCNEuJLyUvx9t8bvm6B3L2jdaZVVDkrUAphtITJYKCGt3cUjAEMJq3A9lcBEBrj46qt1xP5mVg kj1sPSLMSvuN0f0dXVGt+lW9K/ayXIRpyXwR8oyosl94ibZCiN9S1DOe82lYtGckf1h6fKEtPQ1F Cn7tBtor3Rpbbu20dt4CA4ymkFcYQs1lGzGgwlf+QmE1HJ5iaObrDmW0fEfXO7cjx9+uSWpGVn/z 7XJVcKhcqsK1CKIxE+4R3+gWDpNZGATkTZq+FwpvnsBIkR0l0xp3W7OprCYMXwWgKFUqIzLaoY2z xLle50byD+nm2lqugXjjSqFoEteUeUFDJ1x0lXqUQ5pW5g0kPcKt9DLVACa5sIQad7M6eqLO+Bzv zoXmbxRSYrT0tEuyBYBBpDJ7saBlX3dsWnzocAv/HyGn16N/hMNRSgJ1mLNiZs1beY2sZGbBPs+x S/DLc/3jdXuuv1hAYXO1Sobn90QpbJOqiSgcdxIb9sx0SOkltpXj0rE1xCVFihW0dE9JOL14VWTW hOrtCmG5zop7VfajZGTVdxh+9M2siOF9mjHvJPkKJHk6wR5yO9ZuZ+i8W+o5Qg0ynVzphVM4Iydn 4sxyOvm0xNr9GIMzdHKchbkZOznXTs6FCtzcfF6BO0fCd+MbZ8LGE230565a3l3fuUt8Sz1vgRBQ aXF8VVNHqkMjaJDJpG45IcbjPmN6mm1WQzO9lkEf8qkI+uqYivisnhO6TDc02Zo3LYN+NkerJXVp TANcO5rHKOJ9xqZVYRZEUOlrL8hGv3vYMx3Xg1uEH+IlyE8gaRkuC0rM7yBFBsKKGuiw4zwWLI6Z b3PmXkjTi1ANHtaSmY8hUwKzEQQrXTJq49JagSxduSzuNcdjZJiGjSB2XIlPmU8Ha2VZtX5QzQLa iZR0PaufPo678y/7HsJ9+KhtTfi7KsKHJUZXETIltUfLYIwodgK+AMFe2U1KDFIaBm3K7Z4ljcE9 Xc2xChb4sISM7+xw9260Jbw6wIWrRlkw8ui8RaqCqfDQFg+dplACtBWj/bASL4I2lxF784QJow30 oOyh3Vme1DoOcqE+vkgGNVgZq58ocGvi6qvoqbcRefLXl9ft/hmdOX/H/z0f/r3//df2bQu/ts/v u/3vp+2PGhLcPf++25/rF+zp37+///giO/++Pu7rV/HQR73HM9p+EEjX/frtcPw12O135932dfd/ InRCP0J8X0T6RAtztfIKGW6zudGl6J8UCiNh9BBBgkbx7y2zgcKCPrl4X8yAOoNtCJw4eoA+Vi7Z XQRj6D8ntnuVl2yulu1u7c4Z0JyMbQNtskKqIZpeD7MGG1FaGo+/3s+HwROGUOyeTlVtkBIOwh95 2NNwvXju5czMoyGPbHroBSTRhvJ7X4QvczLsT2DULEiiDS3SOUUjgYoiYhTcWRLPVfj7PLfR93lu p4Baiw2F/QCEFzvdhq5d525Yzlu7+qddyFn3XS/jg3ADCpAN18HzaDiaJsvYKnG6jGkiVYdc/HXn Iv4QI0uYvnpvp4/vr7unP/6ufw2exOh/wZdLfinrU9Pn6kNFDS2wR1bo+wQtWBDlD/0i4LTrSjuq E1qCbCu4LFbhaDIZasKbdLH6OP+s9+fdE2i0z4NwL6oGi8Hg37vzz4F3Oh2edoIVbM9bq66+n1iV mPsJUQd/AVu4N7rKs/hxOL5yXGJpp/Scceh4d4/x8EFECTPbaeHBArpqe2wmrh1gMMSTXfKZT5Uy ovwKWmZpzxy/tJZIKMbMosXFmsguu5RdLouoEzdEfiC3rAvdp69tSDShlUtajmtLi47R1rBYbE8/ XS2XeHa5FhRxQ9VgJZHyEHD3Up/Odg6FPx6R3YMMd4ttNuQaPou9+3A0I9KTnAvrD2RYDq8CFtmj vMnKWmv+wfhuMcK/+eJaGVBKXcec2As5gykgnF3thi+SYDiakuSbK6ImwBhNKHW/54/VkBjt1Fx4 Q4oIaVHkyZDYvBfemCgQT2gluGWjQ8Msoy1VDaacF0MyilzDX+eyPFKSEeHa7AngGafzHbUq6Yiz LSJdztglaajwr4nBm631S6IGw4rp0g5dLwlBA7X3It9Dhar9yJpiwKXsYgrb7seAbJHok233fuF9 IwQ67sXcG1Ejst1DLm51AvPpzOJ0XLCOW+Tyzoc9Bi/MyFKPT9tS15n5LKAcXoe392N9Ouk6Ttug wpptbyP6GVBDnV5fGNLyMMn8RBjw3R81x4vyChuofIe3Qfrx9r0+Dub1vj6ailk7vjmr/JwSjoNi NjeuhqsccveQHHqVFTy/pJRYBWEl+ZWhOhfi9Y380eKiqFtJfYSSgpElyuPOtIM51Y8OUehebgQb 5toq/wd5kVpRxw1TIZZnMzybIEYUVgijj5ia3evu+3EL2uXx8PH/lR3ZbiQ37leMPOVhM7A9xmQR YB5UV3dt1zV1pG2/FBxPr7cxsTOw20CSrw9JSdWURLW9L4ZbZOkWRVI8DvsngQ2oysRQQqFcU7Jg 0wFIuHIlNH2M38QS+doQL4v0c7mIe3quvBQbec+NfuyyzOGG2JEbcS2xiejqr0Yg5yg0nOrGERGr P7+SQjkw1LJejXkaPWOAIbmdhliDKvLrNJctYBlemsIN/Wb/a8rZNq+u5frUcFNjrlRAQYUdRtMM Sevu+YAOjSC4vFD8q5f9w9Pd4fV5d3b/v939t/3TA9dV6Ncp3JoYb2lYdImyUds76rZznZSN6m+0 1WZhD1gVPVkYruXT3LFIJLZkTkAQBSrZMw0xmmKrfiYTKvctV8VMZJMSeCQMYcLogHUaa3K0bSsr 9yZv+yyiJsdMXhSWOMnFNDZah6qqsCXM2eL5GliQVwzsN2waINpO0cUnFyPk0KGicZrdrz5eej+X 0DTu3idIVaZ5ciMLoAzhSvhU9VsVeUzVGEkZ8QPp00+RCBZATuWu/My3QyLJTak0CF9QwmhXI4t1 vyxhk7W1O1MGhJYreG24XMqtJrZeqWdzwEq19YxffiViX4nYjtmAVyzhX99iMZ8iXTJf/1sSdQyQ 3Oa61K9mLhV/RTWFiqfqOZaNazgqAWDoVB/Wm6T/Ccq8IE/L2ObVbdmJgOrWiRPFAa1Y7hqV2TPJ 3yYsHeHhieEH2T6gLr5XNbcFH4Y2LbU5j+p7xdO8KvI34m54uojcVxwigOVOxKsGeHeKYgRo9LbB 9tqSDwzhZNaAuyMJ4pfBqCtFRhtrYgiFGoZ8nDodzoynQT/CMXAWgou2D1Jhy1iOdZjTVQzYI3QG QU3bWMBcOzOD0LR2ZA6qK++BLBMouBmz3X/vXn8/YCC6w/7hFTNRPOpnhLvn3R3cZX/vfmGsHoaK As6ILNugfbSfvmB2qQt8QJ1DcjOKcaccLFbTX7GKIkmIXSTRsxNRVFWuGrREO0axxllBZtgzvXaK 54FBhlWl9z27M7pp7t3p/8Ivt6p1NEz4e6Gb4iOtaxO4nLaxrcuUk5W0up1HniIKfeWByWSN113p WBLCjyLjGTPx1dG28Gs2tGG7q3xE89G2yPgxHdBluGUtDXB71a6uEd8/m5U41oVpCngev3mSGoZ1 lZUfw74ZYB8FVqeAad1l/DGJw6YF6D5QWhaRSr8/758O385ADD77+rh7eQjfrlNt+oV5cyvgr6rl zefnKMaXqczHz1fLCgL9RbuSoIYrzqbWSQuMx5z3faPqXJzpaGcXncP+991Ph/2jYVdfCPVelz+z oR1JCp0OFBGFbWzEy3pCnZLrKFnAZZCTlxLQjMtlpLhdOlhO9Lh2vQF6EGSpNgCKBGANCMBsQl+A 6leSt6g5yTmlH0DXg1o5ofR9CHXPZpXyRgwEGz2fTS4DTVbmj5ey4yP/ZJurDdK5MDqrFSHeuwo6 uxNqXPb3dnNmu99eHyhDWfn0cnh+fXSDRFJuZpRoeEBDVrg8KuuV+3z+54WEhelsOe8ewvANZsIg DZ9/+MGdfm7vYEuImm7xrzDRA70eEgLlQz41w7YmfLiXLIEV8RqwsptV5hBk/C18sNzCUzIo43eJ d4zi9JVgvDKNPPZKUtBoYILhlwavDvKG8ctOtMkuM2ZW864d4a4AuvXklb8upjfc+GKpjIXCoUR6 1yMmH+eKZl0HQu1V6S3WArJkQjC2ZVIrpgLcNqJlCgG7tsS07K7izIXAtjCus/E2jsi+yUbQeXSd 9cfbJhgpI9jiplgQlVx4ob0uvZmyUArVFgmV6iCiZe070Pp0IqoZHaVF1K4LNhZBrPPuMn6+YHdT NSXa7Tp2KM0+BJa/Avrot/BWOQYxIlZEOxZcfDo/P/cHveAudjNuamoZmQyFhlQFG1ub9kyDkwt0 gEsuMyDMfWvvPK8rv0qZ0cyZo2hMZOgjnBh9a6Bk88ZEUhfQFbXQPqxh10OgMY3aYPKUUNo3UNxZ +iQd6VKWLf4Cru3RkVr4IxnWXnAmI34A/ln7x/eXf51Vf9x/e/2ub7713dOD68KoKOgg3M2yt7gD xwgXE1xlLpDY2WnkfnRDW4xo1oRyXT7Clm5lMzgEzWsMwDOqwdmTemMtoKWRi8ul9aRtR5KEGVpn ope/hWJGwg7W9gvwKMCpZP7D5hII5NSMaptLYDG+vlKGHkbcj1ZgAtjdTjjITZ53mvRqJSZaVhwv nh9fvu+f0NoCevH4etj9uYN/dof7Dx8+8Gjw6P1PVa5IYvA91boeY0oLMQA0APMwURUN0NeY5zsh ICGKHkDUL0xjfp0HNNxG6gyuSRl9u9UQIH7ttlPcmce0tB3yOviMeugJl9pZrpNQhWItI0Kzed6F NMTMn36HkqJv85mCE4BpC4Pkf8exiWLdQg0LpwZZ9vs/tortG/nGoKBbVIqb9BJhI6DTWWTi0QZz avBdFwi01lyeuCA3+kqLEKhvmrH6ene4O0OO6h7V+zwqvp5oLw28IeF+dnZ3i63CLyg+RBm79+n+ bShRNKrj+6nzHTE9WhDpvN9q2sNMNSNw8mHcLWAbREZQH8N0Es4mMBqRgce2GH6CQfLCrcMQTn2M cU3erABvU5IWF1J9eeFWE/fDQmj+5ZQDFI2B7L/nFW1ZTJvbytHJ3En1lwPovJYe+3hWD42pg6gA P45KR1G11HZ6UIyPI85hkWVPQ2Ek3VrGyW4ahaSnsGfQqUCf2pqYSFgdfDzyUDCeIa0FYgIj3oy+ bXxqPtS1HIG6O6j2m722daup5zWJFHAJb2+VFRjIk/BLx0ahBZ4XplPn3QsGzqoysuew5WrADjj6 Gg4lSMbisIL2rALKb8gghvdiEVA8ZCDI29t8I+yCcLGPLgPSSkskK7Lay/dw9tG7r/cIdDAymBtg vYqgXHPTYQfX20qN8X6ZjWY20xBskqFRnZu2xwMsfLa7krraBHMDr83YPEbEgeWBEoITRUJQDRB3 hc4m+ktRP74gw8GwaEKj0elA1216zm/9ozFRsHC973koi64Iyuxa++VyDZGjzlSVzbg2X4kTpL/X BzIae/J4nKT3b34uOThoQ1X0UoRzLHvQmO00qh5ffKLcDm/wTeRBYfzj8Gp93AODLtytLscT0gCb 3iNx1PGmlKngLB5Kf32ZCbqGWyQewmxb7je4a3mookikH29UXJk+7l4OyPehUJJi1Oi7hx2X9DZT I3uxGa4Itd1tbzaJo3/qahmJ970taHfGa5RapmRSb9dtAgfZjp1SLm7Slpura0kb5GsoNivfOfoz xJcYGjhtRPW1AORZ1FWbzA07SonJyaBlaCNR/QilLhtKwRPHiH6fWH6cBIUoI5agbW7IxOFD7tBW LeajiEftR40UHuKlDmmmzbOZoH+jAazz62yqu2B2zOOVdomLkCqDN6SdFAOHwBuAj242AirXlj/x avVrWqzWaSqzoMprekmPV2nVPrFKezT9GEn3702RZwZGhWUWCZlaNhn2/kh5Y+0VZV+DgOa3NmV5 pW6C9uq8TuHqP7UVRzJvihjR2EpOI5B3HSp4Ixlu8zoqzZ6kaoHrnX5H/AfvzhKDJaYBAA== --===============8406556123669836207==-- 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=-10.2 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,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 BFF64C4361B for ; Thu, 10 Dec 2020 04:34:09 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 6FD6522CA2 for ; Thu, 10 Dec 2020 04:34:09 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1731532AbgLJEeI (ORCPT ); Wed, 9 Dec 2020 23:34:08 -0500 Received: from mga04.intel.com ([192.55.52.120]:51291 "EHLO mga04.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1730497AbgLJEeI (ORCPT ); Wed, 9 Dec 2020 23:34:08 -0500 IronPort-SDR: Balb8Nu0cz/FT5jzknzzBoviT4EX0VXPlx3hisCqZWbNG5h6OQ4rEM5kB9k0uyixBUDbAAjXQC ++5lUb77wN9w== X-IronPort-AV: E=McAfee;i="6000,8403,9830"; a="171623263" X-IronPort-AV: E=Sophos;i="5.78,407,1599548400"; d="gz'50?scan'50,208,50";a="171623263" Received: from orsmga006.jf.intel.com ([10.7.209.51]) by fmsmga104.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 09 Dec 2020 20:33:24 -0800 IronPort-SDR: ZL+PBuYGFWY9WVikPTfAMkbSKURxgfeT90HJ+0ASEP0FzuRDfUx0pqOrju0/ChuUVDgOhvS4nj eXHPnIkRGtrA== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.78,407,1599548400"; d="gz'50?scan'50,208,50";a="338273541" Received: from lkp-server01.sh.intel.com (HELO ecc0cebe68d1) ([10.239.97.150]) by orsmga006.jf.intel.com with ESMTP; 09 Dec 2020 20:33:19 -0800 Received: from kbuild by ecc0cebe68d1 with local (Exim 4.92) (envelope-from ) id 1knDdm-00003V-MH; Thu, 10 Dec 2020 04:33:18 +0000 Date: Thu, 10 Dec 2020 12:32:32 +0800 From: kernel test robot To: Vladimir Oltean , Jakub Kicinski Cc: kbuild-all@lists.01.org, clang-built-linux@googlegroups.com, Eric Dumazet , Stephen Hemminger , netdev , Paul Gortmaker , Jiri Benc , Or Gerlitz , Cong Wang , Jamal Hadi Salim , Andrew Lunn Subject: Re: [PATCH] net: bonding: retrieve device statistics under RTNL, not RCU Message-ID: <202012101201.pauYHu2o-lkp@intel.com> References: <20201130184828.x56bwxxiwydsxt3k@skbuf> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="ew6BAiZeqk4r7MaW" Content-Disposition: inline In-Reply-To: <20201130184828.x56bwxxiwydsxt3k@skbuf> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: netdev@vger.kernel.org --ew6BAiZeqk4r7MaW Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Vladimir, I love your patch! Perhaps something to improve: [auto build test WARNING on linus/master] [also build test WARNING on v5.10-rc7 next-20201209] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Vladimir-Oltean/net-bonding-retrieve-device-statistics-under-RTNL-not-RCU/20201201-025343 base: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git b65054597872ce3aefbc6a666385eabdf9e288da config: mips-randconfig-r026-20201209 (attached as .config) compiler: clang version 12.0.0 (https://github.com/llvm/llvm-project 1968804ac726e7674d5de22bc2204b45857da344) reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install mips cross compiling tool for clang build # apt-get install binutils-mips-linux-gnu # https://github.com/0day-ci/linux/commit/ae1fadfd6122065f2a211de176290d184fda525a git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Vladimir-Oltean/net-bonding-retrieve-device-statistics-under-RTNL-not-RCU/20201201-025343 git checkout ae1fadfd6122065f2a211de176290d184fda525a # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=mips If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): >> drivers/net/bonding/bond_main.c:3698:12: warning: unused function 'bond_get_lowest_level_rcu' static int bond_get_lowest_level_rcu(struct net_device ^ fatal error: error in backend: Nested variants found in inline asm string: ' .set push .set mips64r2 .if ( 0x00 ) != -1)) 0x00 ) != -1)) : ($( static struct ftrace_branch_data __attribute__((__aligned__(4))) __attribute__((__section__("_ftrace_branch"))) __if_trace = $( .func = __func__, .file = "arch/mips/include/asm/atomic.h", .line = 153, $); 0x00 ) != -1)) : $))) ) && ( 0 ); .set push; .set mips64r2; .rept 1; sync 0x00; .endr; .set pop; .else; ; .endif 1: ll $0, $1 # atomic_add addu $0, $2 sc $0, $1 beqz $0, 1b .set pop ' clang-12: error: clang frontend command failed with exit code 70 (use -v to see invocation) clang version 12.0.0 (git://gitmirror/llvm_project 1968804ac726e7674d5de22bc2204b45857da344) Target: mipsel-unknown-linux-gnu Thread model: posix InstalledDir: /opt/cross/clang-1968804ac7/bin clang-12: note: diagnostic msg: Makefile arch drivers include kernel scripts source usr vim +/bond_get_lowest_level_rcu +3698 drivers/net/bonding/bond_main.c fe30937b65354c Eric Dumazet 2016-03-17 3696 b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3697 #ifdef CONFIG_LOCKDEP b3e80d44f5b1b4 Taehee Yoo 2020-02-15 @3698 static int bond_get_lowest_level_rcu(struct net_device *dev) b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3699 { b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3700 struct net_device *ldev, *next, *now, *dev_stack[MAX_NEST_DEV + 1]; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3701 struct list_head *niter, *iter, *iter_stack[MAX_NEST_DEV + 1]; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3702 int cur = 0, max = 0; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3703 b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3704 now = dev; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3705 iter = &dev->adj_list.lower; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3706 b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3707 while (1) { b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3708 next = NULL; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3709 while (1) { b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3710 ldev = netdev_next_lower_dev_rcu(now, &iter); b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3711 if (!ldev) b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3712 break; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3713 b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3714 next = ldev; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3715 niter = &ldev->adj_list.lower; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3716 dev_stack[cur] = now; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3717 iter_stack[cur++] = iter; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3718 if (max <= cur) b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3719 max = cur; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3720 break; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3721 } b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3722 b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3723 if (!next) { b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3724 if (!cur) b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3725 return max; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3726 next = dev_stack[--cur]; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3727 niter = iter_stack[cur]; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3728 } b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3729 b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3730 now = next; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3731 iter = niter; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3732 } b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3733 b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3734 return max; b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3735 } b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3736 #endif b3e80d44f5b1b4 Taehee Yoo 2020-02-15 3737 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --ew6BAiZeqk4r7MaW Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICIae0V8AAy5jb25maWcAjDxbc9w2r+/9FTvpSzvTNvbacZJzxg8URe2yK4kySa0vLxrX 2eTz+Rw7s7Z7+fcHoG4kBW3ah8YLgCAJgriR1I8//Lhgry9PX29f7u9uHx7+WXzZPe72ty+7 T4vP9w+7/12kalEquxCptL8BcX7/+Pr326/3354X7347Pvrt6Nf93dlis9s/7h4W/Onx8/2X V2h+//T4w48/cFVmctVw3myFNlKVjRVX9vzN3cPt45fFn7v9M9Atjpe/AZ/FT1/uX/7n7Vv4 /9f7/f5p//bh4c+vzbf90//t7l4Wxx/PPnw4Or29e788270/e3/66d2n3XL5x91yeXT6x+m7 D+/ef7o9OT39+U3f62rs9vyoB+bpFAZ00jQ8Z+Xq/B+PEIB5no4gRzE0P14ewX8ejzUzDTNF s1JWeY1CRKNqW9WWxMsyl6UYUVJfNJdKb0ZIUss8tbIQjWVJLhqjNLICSf+4WLl1e1g8715e v42yl6W0jSi3DdMwKVlIe36yBPK+e1VUEjhZYezi/nnx+PSCHAYpKM7yfsZv3lDghtX+fN0Q G8Ny69Gv2VY0G6FLkTerG1mN5D4mAcySRuU3BaMxVzdzLdQc4pRG3BjrLXY42kFe/lB9ecUE OOBD+Kubw63VYfTpITROhFjLVGSszq3TCG9tevBaGVuyQpy/+enx6XEH+2jgay5ZRXZors1W VpzorFJGXjXFRS1q4cvvklm+bhyYaMW1MqYpRKH0dcOsZXztN66NyGVCtGM1WKd+I8C2WTy/ /vH8z/PL7uu4EVaiFFpyt6sqrRJvo/kos1aXNEZkmeBWgsKwLGsKZjY0HV/7Co6QVBVMlhSs WUuhmebra5qXrKSvrGUKW7VrCeiQY6Y0F2lj11qwVDpbNkjO55mKpF5lJlzQ3eOnxdPnSHaj 4VN8Y1QN/NsFTNVqOl5nl7agEmAb8inaMRFbUVpDIAtlmrpKmRX9Mtr7r+AfqJVc3zQVtFKp 5P4cS4UYCSIiddWhScxartaNFsbNQNOCmYxmbF5pIYrKQgclpdM9eqvyurRMX/tj7pAHmnEF rXqZ8Kp+a2+f/7t4geEsbmFozy+3L8+L27u7p9fHl/vHL6OUrOSbBho0jDsekUagJrgVG9Gk cCojSYH8i6EM6gODkEblzKIX6aaieb0w07W1MO0GcKOKwI9GXMGCe07TBBSuTQSC3Wlc007D CNQEVKeCglvNODEmY0HN0X8WqgwxpYBtaMSKJ7k0NsRlrIQIAF3wBNjkgmXnx2ej7B0zxROU IKEi0fAa3PdNkbhV7lYplPJgLTbtH4E+bNbQPFL/aJcavoaZuY3cL6O5+8/u0+vDbr/4vLt9 ed3vnh24657ADkqx0qquPFNQsZVotV3oEQq+gK+in80G/vHHnuSbjh/lUxyiHfvIKGNSNyFm jIky0yRgay9latcER20bkmfXUyVTE7BrwTqdiQg6fAZafCM0TVKB67PmUPNUbCWnLV9HAUxg r9tDJLDLskP4pDqIdp6FEJhRfDPQMMsC6awF31RKlhZNsFWankOrehhqzq0zOB5Yt1SA4eTg RoIVjXHNdkmtq8iZ54dRq0CqLl7S3jK736wAhq1L9GIpnU4CRgBNgsUR1cW1PnUYGfqkKqKM wsAR0UWy4/5QCh0J/k1tEN6oClyBvBEYQzglULpgJQ8it5jMwB8ENxdRQwaQojHiCkwqrngj MPUoew8wMD1ISC8ytzn4Ay4q6/JJtH7emlXZ+GPwGkN3BQS6EraSplivhMWgrhkjmEh/OgTR NmtDM8+YufC3jSdCfw+KviE1PNo6I5wZEHgd9jtgsxoyamJEolLRFOSqZHmWklzcQDMqaXAB WxZupjWYX5INk4pgIVVTa+nn1izdSphUJ08TmPeEaS19D7BBkuvCTCFNEGcOUCcw3MsYqweq QS0tgsEs5IpR00ddcelR5hkAbcSFz8KZPQelBFgkIk19N+F2CG6yJo6GHRC6bLYFjFIF0W3F j4+C7e78bFd3qXb7z0/7r7ePd7uF+HP3CHEYAw/MMRKDsHUMr8hu2/GTnXd+/F92M452W7S9 9A6ddl0mr5Op0wjRrcdvNyBpErCCwWyTuDqJ15ZRiSKyDMkUTcawZw0RSZcex7ydu8bwrtGw 9RW9H0LCNdMpBFL0DjTrOssguXNRkJM/A184MwMXUVdMW8ny0LqoTOZRJD8EyWAonZ81/sqG VaNhH0o/MsNfXhztFK+4vfvP/eMO2j3s7sJqn0/elSQCG4xoloM/L65pK6Lf03C7Xr6bw7z/ SBtPfzA0BS9O319dzeHOTmZwjjFXCcvpiKpgfA3KwyFNiH1ZSPM7u6HTUoeFxRQlht6KHn7O IHW7mG+fK1WujCpP6GpVQLMUdHQXEJ3RpSdHU4Gaw7+SLl45iYFtsXQY3HHgh0a61afHM+uh GSg+7VnNSjYQgdF8OyStch3ywwHkydEh5EyfMrm2kOzotSxnwt2OgulC0I5/5KEO8/gugbmE Xg4R5NLaXJiazk16LmDtlaGXtiNJ5GqWSSmbmUG4hbdXJx/nNmKLP53Fy41WVm4anbybWQ/O trIuGsWtgJBybquVedFc5RqiaTDkByiqKYUzmfnuy+3dPwusrv5ar+Vb/DeT9udF8nS7/9Tm zf2uFivGr1s+IFmWntCb3ydTHIIYO+kVengLvRGdAKaRBfqbLAX/qSD5os1USFjK47OPp6e0 JQ5Jr2SeVStaJ0LK6eC95AVn19lBkmIrte3IwBnzdR1SdZ5u6rHi8sb6UsjV2ivYDNVJsC2J hsQRDHqQIrZZqSpgLhmkhOC+0cH60atLvTTzSspcbAFy6hWPudE8hLTOBessREEVy8WNqatK aYtFU6xl+9FcwTCWw8yVq7XQorQhslTlFGGuy2gM0O/YCwbIEJHgoVOQE0IckmCQW6aSkcEZ ELTmo6OZ4T8ymSGYYVKqLhcEffJl5ARoKlgTj98lqzAZMVWQMjrS/BgWGRYT4jCZ2eb9QfT5 +6EaG8Q/gViw3cmy0cczUunxy1iePeJsrhLkKM5OI9YkxYy58yjOiOEFgr9BDQ4XBc8rgyke Ri8Po8/m0W6Sh9EHmLvp+bFuuF7TxfB2ZAfz2VsG6QDYLMNgN2zPl6S0TpYJ2IIh6KVIzk4p EuzxO1wwfwBX3R3BDKG8nwe+/PNtNwbijk2QH6C5xbpNc7qh0p4Rf3y2SeiWZ3RTd/gEvviq uYFwQ4H50efHx6MVdI7M7aHYyuHEIwTCcCUhL8+EdWeAHqa3ymldVI3Nk4hhVvWCDJuBcQNc PQW2O3vKqLCNKaoJMMgEnf03BXWAEyz6QDijFK4w5Z/cRQPJKpZlkyyKV1S1vkUVEznzcOp4 SmHQgJoCMklHozTQcq269C8wGLgeA+UBs9I1n7F6yKUwbLrUqRRyCtXySlK70p1ebedRFC/0 cJFMmJFpZ9KPpgjYPOb8Q3hMGFW+qM3bkc0s9GHsIOA5NfFWh8ZX5vhsxqoEcndBRJYzC4MB rxo7ds/fUzXeS7qQFGwX+AHByYGBovrOysFrWGp3/jFaXNfYDcCATcQjbz7UmaIVbtviPwWr zr17L+ubZklnsoA5/UBN+qY5PjryhYSQmdwQ2b+jM0OHop1728Vss+OjJVXwDyTHNLqOtX8p 5ub8eLyntBFXwjcEmpm1s6ReFXJ9bSSEnHjCCUb06O8Pp0dH/l2n1laA784q8LETY4s1ROWV 4SH7aMIgAu8IWVk2qY1tLpgjVlUQ5cGqttjQ4ok8CwjmCw0Qcx+gDOuazm3248CoOxWEE8Ha xqY9bZ3gqlV7ISuHLZHHqoqnVk2VlSCVzIjhMD95fV48fcNY5HnxU8XlL4uKF1yyXxYCgoxf Fu5/lv/sVW+5bFIt8eLV9Fy7KOpoexeg840uW0sGQynBmh3As6vz43c0QV9j/Q6fgKxlN4j6 X8/WK1im3anFEOZUT3/t9ouvt4+3X3Zfd48vPUdPRJ5prYq2uBxAWLrFk600RqWAm95t8aHu lAQP74+XRx5DnntJ0+UFpICXQuNlIcklVsDHArJnlKvCD0xnpzWkGS1FMVAAYsDJTw9e0Ocu WwRnUT2kWaltk7M0dflp4LYHdCHKeta5D1RWqEmdwTn9fjiLdH//Z3vwMObfNIEfnLcz8SGT ebc1jfv9179u92E3fSAqdeGiZHBsxcy1tZVSK5hKTzqZi9192d8uPve9fHK9+HOZIejRk/EF Rz+braejWLuoWS5vJkejQDYX3OWw1VjZYMGz2aZGnUdXQG/3d/+5f4E853W/+/XT7hsMi9ws rfXnSnva4hxEBAOj1WSea3XTUO1pg0f2OwbkOUvCer8rgONBALopsN8zN00ndQxnWtCX9N4i wQQ+GoSEcaL1gcY2Qm1ihi1UC0siykJGEDcAZ+/XSm0iJBZS4LeVq1rVxIU2jH7cfmmD+mha GI9CxmRldt1fIpgSYBco+bp0GUrMo00SwaU08czxLnGh0u5+bjxRLVbgksBaO3+G17+EAUAV T7875ZxIJFhlf0CXDKydrDieTOExYndrmGBhBEdXcQCF5ZygjjZpMkfoWLmpoU4IbpXP5V/B 4adWfhbmeOJqiyvrNGIjJ2hYS4he1vFtZOKaXUQBK9VNvRJcZr5LHziIK1zqsr2gimMl1AVD o/YsEtJ0SrSBu48IXAekqoatPkxXvL8/bFWVqsuybZCzaxXccs9VCTsZRg4GN/V670KGVplR UNTIu0vqugluA7vyqHfKTOWcrTa0CtkVUiEZGOwlV9tf/7h93n1a/LeNBL/tnz7fP7T3KEd3 AWRdNYaMIg+xCQaCLxKqvF7JkjyD/Y7Z7llp2xR468M3Ye7Og8GD+/NjLxBWaZ0LskbQYtqr kzmYNz9TS7oLfsPPTWO4kWA5LmrhX2jsb0glZkUCcxlE8OOFKitWWlr6+LenwjoSfczirvsV KT6WaG0NfaaEZJcJ5WvaLvDSQ2biARos6FeMPnRDgvaVBuTMXF9X8dFuG6Xe7l/ucc0WFhKL IDpxh/bu4lIfhxLDY4VcsZHUC/FNqgyFEJkMwGNkGQ3Fl0Bx4aIPqcK1c6Fpe5FejRc4vagB 2knVFrTw7lb4ZsVDbq6TMNLsEUl2Qe6jsL9BGqb0asB12cnfVBAS1GWoqkPM4B4YpI7I3V0f SeYxcWN9STcd4U5K4u/d3evL7R8Q1OKDqYW7IfMSrHoiy6ywaKGp1cZuRwoXL/nXllqM4VpW dgIupAluCWHchtk8Kd+5kbbx++7r0/4fL9SehotduWgcBALA6aUu2HYVltB4Z8zYZuWblu5p h38bvHfBVQ4eoLLOqrt6z6k/LfASfPYehatOa4EpOX35BTaUjvprg7emv+rkhePgySDmDAzD xlCxeO/5nMeDtBj2dKrPT48+ele4eS5YG79RdUP/URP8iHPSAeQH3wiEpIWZ8/djNzeVUrTJ uklqysbcmOkVsx42VDNgXhUt0IEUtXUcm4t43WpMo6T2gHTbR17j4gntypTAiK4rr/DiMZjb dcH0hlTsed0daojCG2WJxzjlSkPcGwJFBDObBCIjK8o+jnY7pdy9/PW0/y94d6L8ALMW0ZkL QppUMkqOYM6uAuN2BTs9uNvuYHHr8eJmTnn3q0x7uxR/gZ6vVATCu41+Tw5o6qSpVC457Zwd TbubKIVuu1pHHUFOEITuKGpIB/2+OxDFeuw7rdxNckFGejJYYlm1RyqcmRA6lH80xKd+3iAx lUhAb6VodTHwXB27Ku9eXpIjqFqmHSmz64B7i4OsKFFGRMyrkrrR7vS0kpHkZAVaCmahqK9i RGPrMjgyHOgpFolWLJ0IqGjHGb9rGTAUcSSbeHKygIR0Sx2Ej9jgGNxclzAAtZGCtgjtHLZW zgitTmlRZKqeAEaxeRsflanV43EizkAYap1kO55QyR3QqX88EochgbjNYzpeUWCcYQcOR4hl 7xlbM3QByoMZrnePBXuBP1fD9iBQSfjaboDzOpHUC9CB4BJ6u1SK4rmGv0imawN/HmK6vk5y RnDcihUzJMtye4gfpobdIViMyiuyn1IR4GvhW78BLHOIWZU0BCrlrQwmYk1X5DSShLoV3Ici 0SINb3sjaU4JUJwHKZxgv0NR0hc/e4JeEQ4SOXkcpADJHMTraBwRupfk+Zs/7u/ehBIu0ndG 0tzB3tCHdkVFqyrsNny8j4UqDFxCw1PZCj8nYIzMrgOMa1Ktr10tBPxQUUXvNoGmLXnRCWp1 AAmWLuXkWCW+ZbPBVsTfo8idMW4gAuMoI+oQco7crNnxv+I783zW0Uf9exFajO26801e22Ng Q4MSFPxoIjuEoLnHbODp/NekWPAsBLBHmxzBXYVARcBwJJBRBT9AK8L3Yz0Mj0YlL6jVQ5Kc +Vk4QopKsRCS6OXZh9OYeQsFFTigOfnSkk/urF810jJdifh3I1cFKFepVKzIHX4LI++KuHNP kDvKQlNjaIv36Nn86w0jIAgaAAQxCubcH09OqIDEJ0o0LyZxUEwwj8HbS3j8PDeGlbmUc1Ff T0PNySHEgckVMw/MfJqNod8c+DTa5qcN7RR8sgNXd32yC/59VqAKH0+O6LvOPp35nR0fH1Fm yKeCFBSLxl5yj6r24Wh5HLzeGqHNaqtp1+PRFFtSDVPByzDxayFdnkG0yHPPjMCPpb9ZmX+o jNVQyMRz0YE9g56m9ICvlpR0clZ5Fy4qfBjgB/9CCJzju1MK1pR594d7VgneqbQsJynbJM0f KFjmFjezZP1DapdfX7zuXneQXb/tioHBVw066oYnF+HOQODav08yADPDp9DA7vbASvvF0B7q shuiN+2HyT3QZEm8L1sw/Uanx1txQb0rHdBJRnHlyXx+hHgIFQ73ynDGB0kgUaTKRz06NdPY BuHwryAEnGpNyPeik/tUapskHmAsgbXaCKrpRUY9xhyaqTQ8pO4R2UWLOygTzjZUpDLyIJRw TS5gJQ8xImtUrllexzFht96H9aELuyYHFvzh9vn5/vP9XfTdLmzH82gAAMDjJsmnYMtlmYqr eGiIcmaQvnDXk2SXB9H1CfWGfuBvttV0QAg9o4aT5eryALf2WwVUw+gLCARboafjKPAKUfCI w1UTHJiCdYe841dCPBSPS2kdvMQ3VvGQO1w98/DJIynEzLs8jwbPv79Hw1kp5ywGioJxGw8S QG3NcebDPR3Jis18vKInKKTWM0eGPYmBhGru+0AdSckO91Lhl/BmJui6kMVEcxx8k8QtJzTc 1PQjuGGKFVnw7dEYp4TKgdD2owjUgIqZZLwnkdlhWbVVLKzcfmflZkq6bYWrr7MfsqkyCzxE yqlHCGmJL5WMwk/TeYkI+HrmDlwpWP/nDNIvMnnw1D/18OD+FXMPXHRl1jGl8VhRn+OaIfse kXsm/z0iPJqZS7UUZCxbSExgJxPy3Xbldy+k7iBRVjuAc8j7kuC+SnvkTLEKEVTm5S68hT3h hgg1HiGQXE0CitJQU1qbOCJxk4eQO26fn+A33yCWx3icFN6FtlSg7zrnRgYM8T6FEgXeY2jw WRFEyERT7d+Q15lxt7U8L3Ll47sP7LjyUhDIeoi25hTFrfoKzzuvm+6TIb3GXMTVc3Bu3Rck w5Owxcvu/yl7luXGcV1/xXUXt2aqTtdIsmXLi1lQD9tqS5YiyrbSG5U7yUynJp2kkvQ5M39/ CVIPggLd5y76YQDimyAAAuD7x0RKj6uibMUMpv19X3dZN/nIQOj3auOA7VhesZiUBSOd54Ff JA63FIBQ19MBsD3rkwGQz+56TqcQAGzKC2wAUWITO8zih38/3pGOqPDdKWL0jbVENtewxiJD GPBcUfmekB8R0R6NAVDslW3E5Fclshn3MCF+fk4E884KTrOUgdDOmqpmT6ZVEZ/u9TnhdZWw vHPmGcFwIVcdM93R6ZxWSYaE4h4CJ4gGBVc97MUqQby8NSBir6C9Hm22oKu60+nuEc8PD/fv s4+X2dcHMfTgT3EPvhSzTst1NVeZDgLyHDjp7WSEHMTR/e6MNZ5TAaV2/2aPglrV7zZLcH6x DpweyqPtCF0bIuO6HF1/EJNb25N4RSzd4F2Tbq4SQ4GKj+rAI9d09Cgpd63hJdbDwH5W17fW Gnoy8NihD/7DBueH3IDxdZvWjFS1BfYQpejrdmcC+C7OopH9Xd5mm8eHJ0iB8/37j+dOgZr9 Ikh/nd3Lrag5B0ABG91I3AHa1Js0tDz4iwUgLE0V+PkclyRB3fiaZQmEvSwZVYZdPxG4a5+O qk7ZFELVLeFG1YiA154r/mU/IYK5udKFQ1NOZ68DTpvP55tzdfBJ4DAZw6n0X03y2N7yJzqG IVN3mOxs3gj3EJzTLBZDYUTLitNd7IbMlIPE1gN5SeOmLM0KtEGSelcXRdaLViNCOTxDaqzP 42k/Oep04jJC8o34SXSyjCKmZ9JTEUDm7xZycbVROkb9RJ/uLm/3s69vj/d/yg01Rjs83nUN mhWmL85R+QbvkqzUO43ArXTT+B/tGlAMW52XG0rLEkz8EDPwZEZdrVSBQ+CJzIA9OT2GmJCn l8u9jCbpp+UsO4zOvR4kfaliUSLKaicE+KE2Lfng+BV49kz6TaLFosiyTkAfejRSgksDmKDw YjajXLoeaZJBBqKiykBB+SMOQy0FGRnQRprUOzmnwi4lCg5hJN23gvXnYmETRQwJPCAN7rEu jLzPVbJFTovqN+YXHSzPdYm6J9RTMMtwDRWPKuZrg32rALlJDpFyjEvI8bSs5yFWcHKewC0T r8N2m/IQAj+RxV0G2Ma5LbEPsCiIXhOCP32rDUGbJk4L5Rv4Xn8cF4JX4aAKMdjRGCI8lLw9 cNIjvR4uAEan5dfL2zv2Pa4hWGIlnZ31WF8B1jzCcYWALDYKTlcMpnyZqIUotkfFQsyE/t12 7vGfXFwDKqI9HrocbqT1fEoPx2xxyG71k2c6DHJ0ju8QEfcCXtIq/V79dnl+f1KHUnb5ZzJe YbYXm8joVu/jP2762mL0tiFSEzOIozEUppfN+SamD3eemxXrk1aURqsHH3exyZQy3q+ZiuW/ VUX+2+bp8v5tdvft8bWLyjMGI9qk5tr4nMRJJDmDpR2Ci5gZ47uipD2lkFEAkyUH6ENhps43 CEJxXHQ5uEqqgEzD0/u0I9wmRZ7U1a2lLuBWITvsW5nTuHVxTwysdxW7mI5C6hIwo5SiJjsI sSCZzaw8jHIeG08aTEjE2cyujPOxTjNjX+upgSSgMAAs5CpF0phN277IuqSIr69gvuiAUimU VJc7wSuRdUA2rAAu3PRu1jbmBPH46JjSgF38FI0b4veN8H2NJEu0d1B0BEy4nG89aYJOUFD3 IJIgY7UaXC311vVxUZnEH57++HT38vxxeXwWCrUoqjtk6I3Ms8kMlrsJSPwxYeJ3Wxc15DcA PVy662NsUsloKsC6XoC7L/mml9dTAS9+fP/rU/H8KYKO2WRlKCIuoq2muoXyPvIgpJn8d3cx hdYyEKJPqP7TQVKaqRBUzdUmmCaArbsIPEdNAhXgEkWi+j9l7rQfr68vbx96KDSFHXQnaIbK fVfGcTX7X/WvB6H/s+/KaZ+cXEmGZ/JGnDfFwIaHKn5esF7IMUxxqQLQnjMZ+ch3RRaby0ES hEnY2T09x8RBiEs+5d2A2mbHJKTUoKFc8wwGxO5WiOWG5NULkbUml+oZNoR0czykdY2C8wQQ 4nMgwg8BE1ZltzRqX4SfESC+PbA8RbXKIBdkgBMwJAgXGxxuIX6LD5LqBIe27hWgEGC0QTDQ UVWWvVHHYhUE9xBj0kULatupCx88HLMMfmjGphix+C89k9J+t+cqrRPQh8htIkm6EKY+wMXe Jnn5MW0YQGW0kHrZIzDxymmw+1ZxlioU2/zxXVkavz7cXX68P8ykeC30VMFLwc2xawRkN3u4 R8Fn/YCElCjaYxGX1IBdK90lhRsZ6Gi9g0Fuy30dxSfS8lszOcFgexgr7O5+0HQNFYWDYnA4 5cmMazyol1EFvN1YzEcn+VoW5G4jlRlUpjrFH9/vpsqWkAV4UUEiQj7PTo6nx0nHvuc3bVzq OQg0oGnfEwpxfgt7hhifNOLruccXjiZSCb0xK/ixgiSrVW/176spY74OHE8lSRmFc555a8fi SqeQnkNU3/eyFiS+72gW+g4R7tzVioDLdqwd5Puxy6Pl3Ke8NmLuLgM9dZ+xFxvIYt20PN4k 9KyWp5IZ6UD7BeiV2qNoSSK2Sa6dW/2QSrhYjR7yh+3AKq8qUXiHz1mzDFaa/bCDr+dRsyTK E3JUG6x3ZcLpFLUdWZK4jrMgV6nRjy5Lyd+X91n6/P7x9uO7TMb+/u3yJjjEByiEQDd7gmNZ cI67x1f4L05h8v/+mtoK5tpm4MjLQPQsKbUuiXbozgHiV1uhADdgOyZ7jnYjMjmmMQ6jiqeJ XCBsvReQJmtAxrTnelxKxdIYnh3T04hxdXOrfxPrYZsSMhpQx2q7+mRyqdkvYhj/+tfs4/L6 8K9ZFH8Sk6nldepZHcfP0OwqBb1y7rW8Ij8hb0x6JH5UTXZgYDEUTwACKYsyw5QjMVmx3drc CSQBh0tLBun36Pmp+wX3bswNL1NqNgSnJ8Gp/JvCcHhg0QLP0pCzaa/UJ5RKOaDhwbwuU53x bVWq6sgFbfZ5MpxnmUTMPp7xzl6usda1U1frOpzB0HjtFBGQLjJRaD+VbsUDlEzuaRRQ5oN8 Egl95O3lCaL2Z/95/Pg2g8zWfLOZPV8+hAw+e4TXIf643D3oZ7YshO2iVCqM8OAMJS0APkpO yNddAm+KypL2HsqFykk9hxJJusSu3WXxQFtHgnFLEZ36RiAh+RG+QQVoKeeBqhywYHqnDsTe T6ZrzDjWalGbUHWziiWBPE0RgXH7HRYHnFpUSiF66+EifXu05TZPbmSaKlto0Ybyx5LuXQkz HIEBAnyXjEDFBJUQPoVAGaYHK4XMeKN3A+OZfLERhvZIG9AwOdx7hCyDGEhKcWMR9rADQI21 v7QEEsp5qkGfwtXECS24kFXJMaashVvDdsYinpA3oUkNfLrIcLxvB5tqcwKHfX6k71Ahn7U7 1JX4j36BVB+15hu9Frj2JBedfMGTzBp6okR+pCkeshznQJPOYLkl6wOrIMCC1DHyPk2izsfy YclrICPwSzk1qG8pC8/H2+PXH/A2MheM7u7bjGkpe6amjNDX7Tz+XPAf0WVVvIEAkxqFEJJx OCLGtQIoSPJu8waFIJhQMBy+8czNASjgN9btIAnkuyLTIKUJYV6v/DmlSgwEpyBIls7Sodoh fQzgwVSISFovVvQzHCR1sFpfiwBS1TbNxBsdIdttBk+42L2jgXoaLTYhuYlYcD3qqkpANN4L gYE+HXo6nguJuAuEsvtEUMR5fCWWA6hPaZ1wyMzGo9Vc9J06eAdx4r9d7NoJUe8gRxb5mOnu FjsYSIDmCMTP5Q4dRhmk9a3S7RYuwXeULrZJm0Sao5H8tZm66YmDcQZF2KzJLJ8UA1m4LdUy cQ6KrcEmnzSBWJHL0Pxs3LLysAPjiI0gyv2Fu3AsFQv0ClasUa8AB4sgcK8VG6zUd3Spiusb ExKlEYsnnYxkhh1mrStmQii50sU0KrMjtzQla+quvp4a7oba5sxuMTwDhaV2HdeNzAbmrBKy c2ZtQI93na2lFcBjkgxXOPIds7oBUU8mQCfhSZ7iItULh8yoiNWBM28w7Eb7ePT567iJrZ+V kC5AR7Hixbnad4jScYCvoFbwOnGdBp/5QtEXSyeN7NXEZTAPPO8qvo4C1zZ48vtFgJsigcuV OSQKvLaU1PM+VFJnZtoKDuFVWyRAq5NaytgGMDxi2zcAp99VSDSX36V1yFBufwkFpeCQCpHO QOxS0HQThdAUGIHKTxNjCULzCJz3UstzSkCSljcLx11PWSUcIfmPp4/H16eHv/G1TNf3VuWd weV18CERTEM69GDSHHK3bn8ffLz4lEFr7mS8bYCEOqmIT4djptTzmpdlG/IYp2kBYJzAbUiC gWZeUYDlZYldv8ouL5D59NiIL1CgKQBQPXoAPc922iIQU9y50RuCLCAiVqNlAbA9Oyfkc8WA LCF7x9EopaqzwPUdsyAFprRUwAppYxU0DS5J/DngiN+++XAsuivKuxlTrFt3FbBp96M4knIF VbbAtQn5IINOcdAdzXvE7ihGK9XwZOF5aNlEw+Tk66VDS4Y9Ca/WK4eSjzWCwHGmTQQevPLN ke4xax9Ltj1umy09hw7k60kOcHYG9CsDPQ0c0zSL6SnyiK8CUvDvKapDnPLe0ESOLz+GnJQX e6Iv7FiZq1Z+3ATe3HW6S6RJ2XuW5Sllu+sJbsSJej6zA/WxkDp8t6GSQ8idF0dj4Dz6Ni13 9v3H06SqWGvZJNFu7VmefRh2yU3kulSjzhnuxhAOcY5pzz74AHL1xEUl5NxcSBGWUgciPMji p9XtH3+W4xhrHdkLwz8pI0p5pB2uOkoKh3ZUxVNUOSxDiwuV/mknH/6kWTLfixg4uvpBKLR1 fvpUJUWkJDxrGZzyLNAp8LbTMWTeNJ3gy23MON05qf0kh8PUa7tit9GYFFWGxczOjxDZ8ss0 sutXCJ95f3iYfXzrqYhj/0wa0rRME+PhqCu74O2YUktLRrFNvOBTHqMdlAOA+vqE7YwnoeeE GZpHlTb3+fXHh/XWSYbpIIMhAGRQD9VXidxswOugC3syPgRzHR0rpvAq+fUeOZApTM6Egt10 mMG19OkipKrBYo+mo/usOPLkWo2fi1vkkaGgycmIqezBBifRhtDmRKW+3Ce38lkxvcweJhhb 6fvkDTcmCYKxnQZmTRdc70PaQD6Q3Ijj1b9aNVDol+gawnOxoWxAxV3wa7UMKLPXQJft92FM FF1HbLnQ34bSMcHCpQYiy4O5NyebA6g57V4w0IhdvZr762utzSNOFp+XletRx91AcUjOtR4e PCAghBmuPuiCOcv5kfTaGUi2RRZvUr4jfNfHYurizM6M1mpHquNhT3rdjI0Vu29BzslcrMCG rLvOvbYujtHOFnY/Up6zhWN5oHggaswVbRJErHTdhm6LUF9/sgZqyCie0mZMjaFc4ya8TrGf XA9r2YFlBTWZI8Vc2wwjNE4JaFSEFSPr2W482ro7UlRkMi+Eb3XFc8Qc0yxL8qIma5ayjC3x xUDF0zg5Q+4V+nZuoKvzmLo3GmszbnoNhBngZ6I9MkXLQHVmVZXqd8sDBt4BzgxBduwcvNda VNQFI6YJVYYVogRIC06aJMaROafx5+KW/PzLLjkIhfHqMuO+47rk13AcHsm8fQNJUzJqlQK4 xc8+YpwpNEzJyqait95AseEpW9KqntqAMqcvvf46AuBFPKqShL6n63a5EOWJMajydDG5epdA 292HRPKcWg4StXG0S7ceApdlKIAL4F7cuTKZ9K47gXgmZO5MWryZ0wmOOiStlSukf+1LHx34 UkDaXd7uZexd+lsxM31nEiOdlgSAo0vJqf2p0ChpggJ1vlziq2lpApgbqaQMClZF7bUKWRmq kgdNF0/RluUJfmSvh7QHLuQzAp4pZ77OLkiN0fDUBCWjK1n32+XtcifEX80FdDR5W94sgaaz TD17Qrpup+IMbHfsEGc453iu3F8gnww6eRQGXByVFEJvLCBSNmp1TmwY6bYg6XD+EQXiKRXE IXHaU3hGoyDDVbGhPtydR3cMEyTz2Yr5VQ7go1o+4EO2IDNyjhTTjAUjLorqyuKDNhI1YKKp 2GQzKQV2dkfMfFcGhC1D+hx4CFNvwAhf0FKWYIvewnD6HMzWllq1K43kZDw4q6P2NpzMAW6L qq0j8aekp6hEcyMpU2o1dxhg0VMzj45MBeSQFJQ2rZMdjqeixp4fgJZFkz0E7Ek0F+JBGuq6 py+d1/P5l9LTRGwTg6N9GyGL3RqPf/QwI+RpTLtyZQb7ka2OvJaPoKrA6qnCKw67qalAbxmM kxSpIQ4Gg4cYsHGnAhTeC6fVdIFVtzjq0me875HtkAFM71Mv++6zdluKv2mG1FFkdbSYO9TT 8j1FGbG1v3BxPwChroQmJeZZE5VZTI7/1fbjorqgdwgFtzROCBbHwYoFpbGnP1/eHj++fX9H EyMf1FDPqxvAMtpQQKYfTUbBQ2XDkQUh1uMUjEvkn/ePh++zrxCA3cXS/fL95f3j6Z/Zw/ev D/f3D/ez3zqqTy/PnyDI7lfc7jiBN1VlogJT7DLQPGNkUL1B1nuRmCUleXKiTn/JF/LJLH/+ slgFlNUEkEWv0GswMaTWuqv9nLpykhOc5nUSmR+om+DJtkz+Ftv6+fIEg/+bWBpi3C/3l1e5 1ydWKRiWtABb6dHcuHF28DCkKsKi3hy/fGkLnhoLRmgrtzhPDkBPKQSGdRYv2bri45ta8l3T tGWhe/pbFxYeguvTDSkX6PUCGFjiVz/tWarWJKIVc0uQeEkZrHmZI5FmR1rESz2EXPwYnlga 7bh1CYipVCBgd0+PKjTCZM1QUpTJ9333UrLRS9SQ2zKdPpULJf8p3/z7eHmb7POyLkW9L3d/ EbWKprp+EMBzinpOPXB9WCrHIdQORA7J8Glt0aSL68ArLca9Ka1pAerFm0k3tELSg5DX6KMd RkyoKtQNBdKvzy44qU7G1v30n8dumecXwQaNCwV3yOHHvcWaYjeYRA9S0jHuOTca06H4NiWH g2iX3l7+dPn3g9lUuSNbuP2m5byBhNskwYEC+kImTMcUAeqtjpAZKnAmR0Thzo3x0D6mBAFE 4Vk/DnCj6QosFk5MQ9/SYxp6yWOa4Kc0vkOdPTqFOOjoYVwFLo0IEmdhHaPEXV1bc93a0raf fKEcYnJJX02JhRfuM8xNNLj1ArgEn0GcA/mcB3PfGaCjDA8JfCSUHNGQ1WI/3bZBUObB0qEF TpBxwUMUbmycJaU+9sWwqA7WCx8p2T0uOnuOS22OngBmZqlNmQ4PHKpINZdXOyZJaMfjnoRb 8rv33TbwxtfhjbdqdP8RA4H1CxO5i2+ojvXouG6PYrLFJMJF6LWxY2tnTo0dW7s+Ac9Z466E Om3FeFSzJM5zr6+SlJdQwFUaUVCwxnGzBkVWBitvNTZv/PLAtvrC14p0F/5qhQwHHS5Ouien JdHSp58Y6qnF4C9c/3onhSg4X6yutL8u+dJ31uSy3bLjNgH1zVsvru2m/oqMKqOqfcfCSfsm HCPuOg699oe+xuv12mIW3Z1tMSHysLQ83tubtChZElzkCs5T9AIY10VwSSJNNjLuT6Me5VRE YqmGCx3BLIFAG1BpX8SwLvcZJPoyiDcZ4zuSOGlqXdkI4S1RqieAmIhWUs/+48fzncw0Zc3N somNyDOAaOxXh/L5Sre19zBPk7rg8rC/zjcowTzUbrKkiVDqngG1y6I4wgjwsV87+DJTwuO1 v3LzM2UukQU2pec0RiUSZgZAAyYHGw91XyQ7IznipAUA9T3rrcdAQp1TPXLp4RZK2HwCQ3xX wpR6iiqDnO3wGBnk0rY3KY/ceXeU2GlKb+nRuZUBvUuXC8+dXBL3W70Wmj68NjE3G5je8KVH 80JA75PcMBhpSClUYFPuCLaNcC+J4LHTuDuGrlZLb1KDgvu0wDoSBJan5gaCNXVCDehgMRkt da7R4VUD3qOF7QG//sn3a1o4lvh6OV9S+laPXJsjmBw2nhvmxgZGVhANXiX10exzGW2EVDi3 DZU6qMyPqsiv/YA+vyR+Hzj2blYHv166gaVGnkQEb+TpYrVsJtYVicq8wLR76ujcdwz2yfe3 gViP+mNSYeM7zqR4Fs7dDmztDa/z8gr2lkekaR+QNWRtm8/9pq15xEw2nJXz9XSNgmQV2MdW FJnlRyu6ZFnOyNsKIfC4jq/tWyUCrYydrKDBkoKuJztZwj2XkrT6xoruTPl8h/CX9r3WFW1b RRIdLKnWr13v/yi7tua4cR39V/x0aqb2bEV3qR/2QS2puxnrFkktt/Oi8kmcGdc6dspJdufs r1+AUku8gFLmwU4MfOIVJEESBGgqtUoBD+ZA8tJtMhwihPXKic+p8vb9Lg9AbV8XqLvcdkJX w4gyULiSY2uep24MxckfisvKRJlXyQk08ph8iYLLd8M+VqWqkYxEeWvEVZrWC3PxHolXp/Bt y9FptiYtsAlWZk+VGanJRJ6+QOFe2tZWWwWgru7TBlyrEs/W0+a/6lSAOhTa0cW8uF5BoLGs zIVzSiugtsOFn94pT1PQgb4/XVVHr/VEjwZ5rEScn4nGY4wFMb4y7au8i4+y5+AJgLfS55i/ mG/Phbj/WzBo2sAtlEQUURzQMI4wsOlLXRGFysuvoAKLkrkFhGp5FPhUmakDE4Gb+q5htRdA XL1fL8BV26c+5/r16ueCOq/3raIQKxzXwHFsy8ixKc4hLn3X9326EpwbGV7bLDDW5juX1Dwl TOCEtqFHcEkN1xubQ8gW4WcaZCvOixjJ8UnRyccJ21BOYAYhdSS8YHSdWub54iItsTSlW+JG gUdZIyuYYCWBnU+fWqiF2NEKpAKLHHr5EmBJbYP6sZlp7Xv2Zlp1FPn0PkwGbc5ARf0h3JHW 9QIGdHp6wCBHPvGXef7WvDJuFzZAaGHgkWb4AuZw/og+16hS1j2MWpMocCZ5W61gdmTaH/CN vHp/qbDx4Vdv8s6+YJu4rfdZ09zXTDTERP9TrDS9DZ8/7rzI8HxRBBnP80RQ0W8IROsUdWzZ dJWR2W6sFa1fRGEQGhKY9j0b5WzzI6hsm4tnC4lZgcFgU0RFmnUXjQqpfdKCAVXct2FUUMKi b19knuMGpJCNGxeHXOf0DZDKiwK6na/boY1KX/covwKD7ckWbOUdg6CJqXfKGmLWjomvR4V7 63NFYVbGbB7v2Z40TE50G+cE/X6TVcpZQ5pKozEFRqcVX4OzZiizmSHRm8Q30AOS/r6n02mr 8p5mxOV9JXDmCiDvFDf1lUdUhuHalg23+5RM+lLUhoRZUZVUuiKmSYpiFcObEu1mqfOCJNN7 i7/45ByyaxY23o+ORsvLjQamdwpdh7KGGr8kvpIYkzcCepc0Afdp03PLtjbLs0QP8ls8fn56 uO6T0CmleGg/lj8uuO/OuTASd3xrM3S9CTDF1lpB8Ah+JmabNibW1czLxOdXyWIbXreIepWF pvj0+ka8z+xZmlWD8lZxap/q6hSN6Mi03y9SI+Uv5cPz758+P756+dPLz7/mUIdKAXovF1aD hSZv40f6HB5UZYyb14KVXFEoj6IJ3YjozqU48ngOh7uySqV6UOWdPKL98fTj4fmm64V6zK2G TVIUZPwLZEmu3zg2vkBd4hpfb/9XJKcz+a4bK0MrRRyWobVoC/LPYJrIuS+6irYLR/gZveLp 0QtnF1ha7cSRpN18cSHhr/1nUeT4u8d/fXr4Sr0n4Eoe7wgemJNoKEQc26v5qEAs/MCwLeAl 6HorMBzg8CTzKDA7HOAZDvuspD1sLhAgZCuZjJiaxWYXGSMm7ZLWpGQuqKyrCrrrFwzam9ds q0zvM7T3fL+Fyh3L8vcJ/d53wd2yMjO80BNAVckSs2OOEVTEBtkWIM0udO0VFx8jrLyLDDYz C6bqfZveD0oYw6smBTNspVTHiWO4gJJAobsi1wLK3hKqNvNWfLNMmHIHpTKcT6qwrfYERYld zF5TBNCW5OEvf8UjiIjarCJH0bcNKoo+QlBRm62FqOBXymWbzo8F2IfdduERQ19ASyB3uwu7 W8vekncA2ba7WSicglfc7Eyoc4m+djZQXWBvTY48uN0m5lwr/l4oVB/57tYQ7BPLNdy+CyCY 8cwOlEbMhTXcs0HCtmbQj4m7sqLVd7QATMsrLELmKn1s3MBbSRs6/C7br9WldRzilWb88vD8 +gfqD+hNiVj/x8LVfQN8ungj4pQCZoXPJTKwppjphnK8+7zoM6vlic+WcmUjt+XFcRV/ABKD 3iLJEFC+9O+7IlCOZlQl01BsrsoZ/FVNvIF8i9IWLWfC1klWRfdO4kymRbX8FIPi6o8KEBW3 trySCcrgP7E2vz1I/fL7eq9khaNcyY0u9F+//OAvOz4/fuExod4ePj+9mpLCwsasaWv6aBDZ pzi5bWj36eP+7aqim/fBXAqFuHi8BJ9ev37Fi7oxuqVh24Py4dkXbZvSjwEwFPr+fHCUO+qF TuygOB3j99TqRmj8ouBBG819vSIFyv4LBatlcVkNRdpJW8mFQw6Thc1TPEgvEaFKy16Y8FIt AaGeDvys4rAav5Qgbs7XgOO+qEjeof3iDSR7fSclvkvHqo0OsHu1VkI0V3NJzSB5vy+F5OOk h5dPT8/PD1S4sVHA8GDJmQN7xz9xCH1+/PT6GbD/vPn29opx6vCxDnpH+vr0l/Ku5Cql3CrC OPl1aRx6rratB/Iu8ixiPszQZY9vnk05wCG+LNrapU8zp2HWui5/7KHO4C1o8tQt5MLOXSfW apD3rmPFLHHcvco7p7Htelql74ooFCPoLFR3p5171E7YFrU2K/CDyX13GEbeLAa/1n1j2NC0 nYGqTLRxHIwOopYAkCJ8OcoRk1DX0rQPbYM52YLwIlr5WBCRt6Yf7LvIpm42Z64fqI0HxEAj 3raWLdq2T9KUR0EfBoHGgBYKbfG+XCQTCgK/F4YhsFKTrq9926Nu/QW+r2UJ5NCy9KF150SW p1N3O9FJiEANiEID3TYPpb6+uA4fg4I8oJg9SFJICFdoh5pIw/rnX+cC8fCNlLrHl5W0nVCv CmeQ7sMEYQ21xh3J2mBFsutp7cjJO1fPPU53brSjrkcm/m0UEUv/qY0ci2iRufZCizx9hbH+ P48Yz4oHGNWa5lyngWe5shGFyFKHqpSlnvyyXLwbIaDlfHuDyQZtksgS4KwS+s6p1WYsYwqj npc2Nz9+vjy+zclKi3MRXxzoI7Lw6qdzlLtHWBNfHl9/fr/58/H5m5C02gOhaxEdWvhOaLgJ nFZVg1X4ddOCjxdYqh73CIG/DAUcK//w9fHtAb55gZndrDafmG94VTOVsYCGo8+uFoDBJGEB hPSZwQJYb6fi4m6VwfXpA4cRUPVOYHBBsgAMhxECYD0LP/A2AfQB3xUQmEzflxTCTcBWGXbr gNDx6aOpGRAaDjZmwFZTh1u1CMONFKJoVWirfrdVht1WU9tutCrWfRsEzppYF92usAzHjwKC 9Am38G3ZbdrMqC3Dk90Z0W1m3tkG04IZ0VuGY2QBYTgLWxD2ahptY7lWnRjMF0ZMWVWlZW+h Cr+ocsOGjwOaNE4KZy2J5r3vlaul9W+DmL5cEABrGhwAvCw5rg0hgPj7mD5jmBAFi2vaOmI6 Demi7FYR36s/HnJhGMNQA41yNHxVQEJ3dXZJ73ah4XR4AQRrgwoAkRUOvcFpglQ+XsAx1Lz5 qC5F+8C17kCDesNV3wwIvIAsjpz5qIbUTFUWFj1D5Sm39NNd81iLn99/vH59+r9HPAjjyolU O+EL9NhSkwHFRBBsou3IkUzfZW7k7NaY0mMQLd1QmqMU/i6KSMt+EZXFfhjYhiw4M6SZRedI 9s0qLzBUivNcI88R934Kz3aNtUXHxTYtTCLsYr5Tk2G+yRRPhnkWeZYhlfuSQ2J+ayr5yA+p V7kSLPG8NpKVXYmParbp6Y4mNvQTHgF2SCzFbajGNRsNCSBjeady0CuYCMx+oY0PCSjCJnmL oqbF43vCiGkqyjneKSs2Odgd2zeMBdbtbNcwFhrYJOp2Qdeudy27OdDcD4Wd2tCG4hGVxt9D xSTfktT0Jc5r3x/5Iejh7fXlB3zy/erchz9a+f7j4eXzw9vnm9++P/yALc7Tj8ffb74I0KkY eObZdnsr2km29BM5sMkOG7m9tbP+ko+rOVF+mTSRA9u2/jInFdiiHTc31IHBJF8AcWoUpa1r y84TqFp/4rEB/uPmx+MbbHR/vD3h3Yeh/mlzuVUzus7JiZPSphm84Mw4UHlhyyjyQjI2+cx1 r4sVkP6z/ZXeSi6OZ+ttzMkOvUrz7DrXMESR+zGHnnbp7cDCp47/eDv4J9sTn85fZcERfd9f ZUrxbzljd/TuVBCgVVFUsscV14pcjQj1kO2Or2DHYE2A/D5r7Qv5Hpp/Pc0cqW1ppeCsscv0 skCemoTDFLYy6saUAjmlkRgSRK1PQGDFlZ5n2MJCqvUIjDJ6suaytI+C2KZaEUouPxCaZbu7 +c04FuW+rkHXoVfsmU0r/lO1HToW0sJ1lEZB6XUVIswJqVq/PPAUhzta5T2lcctLF2hCAUPR d9TEcYS5vknEUrbH/iiUS+IrOdHIIZJJaq11NdvvTDqSUDNKz+BX0Iedpcp2lthqpXGQuvLL irFHUgeWVaO1K7I9W7QfRXLT5U7kWhTRIYl4fqkPhUCZnT6mNqziaOBZzQ4QUXaTaT1ZkVqc ISLydcrShI5Nj5iVWXucGENtRMVdC4UqX99+/HkTw1b06dPDy7vb17fHh5ebbhlm7xK+DKZd b1xOQEIdy1LEtmp821FXZCTaria4+wR2fwaFnY+aY9q5LvnIUmD7cl4TNYhVshq7ZB7Almlx is+R7yhSMdKG8dpcp/deTuZh61Mba9O/M7ftyIAj0yiM9JkCJ1rHWpzFYm6ylvCP7SKIApeg BxilNbgm4rmzs96rMYyQ4M3ry/O/JyX0XZ3ncqq1GN97WfagSpYUg0Zh7eYbLQw1/gkK/Pb6 fD0KuPny+jYqRZqy5u4u9+8VwSj3J0eVIaTtNFqtD0NONelp+CTWs3z1G052zCrDyDfN53hU 4GrFOLbRMaeuzmaurhHH3R6UYjJI3jTDBIGvqOns4viW36tJ8f2VY172caZ3lZn+VDXn1lWG adwmVedkCjLLszKbz2ZGSx12DQJ181tW+pbj2L9fBeGZcoB7XRMsYrtS03c8pt0SL0b3+vr8 HeOEgdQ9Pr9+u3l5/F/z8OWx3YdDRuZjsgLhiRzfHr79+fSJ8PKaNuIy3RT8vgrULyZT0xom p8vV4bZUd+RyB7iFwY37DGiz/IAGLlT/Aui2aCfv1XLeSD/sFxaRMhSvaDFMR13l1fF+aLID ZbuFHxz2GMIgK/BRGxOjKy1MjJ02mknB6ihnNwLyLOZxiVvNLakARTfoA+yy0+HAmgL9SGtl r/HhlOHzY1YM6LvM1CImHn7XntAqiuLy+G6zr+3pfvkGpjr6dhQ/GR2tg+oWyEmNnqZzO/DU enF/95eaHxzuDGYfGk69yhHcKJuKOaoiTUHaS2IzVUWWxmSy4lfyR/3RFI4AmbeFSa7Oaa62 Q5PEsNTcDae0YMYkOSjvydB4PEseEmI41me5+eu45EEJpiXz+7fnh3/f1A8vj89aO3DosK+y 4cTwhb8T7gyHChK4623LvjsXQ5kbduYzfKX8I2A84FYbaORlOUvj4TZ1/c42PJBZwIeMXVg5 3ELRBlY4+9jwkkL64j4uj8PhHpQBx0uZE8SutdUALGcYfBz+2UWRTd/xC+iyrHL0+W+Fu4+G JzAL+n3KhryD0hSZZTweXuC3rDymrK3z+B5aydqFqcHBp9AfWZxi8fPuFnI4ubYX3P36J1Cm UwrbCcOByPxJWfUYInQoYUNpVMFndBGXHcMwB/HB8sO7zHBFvXxQ5azILkOepPjf8gz9Tlv/ C580rEV3o6eh6tCBzG6rK6o2xR+Qps7xo3Dw3c5gnDl/Ar9jfOGSDH1/sa2D5XrlZh8afBhs fnWfMhiATRGE9m6rvQR0ZIq1K6Crcl8NzR7EMDVcyQrDdwwpOLRBagfpr6Mz92R4k0CiA/e9 dbG2pgDpg+JvFCaKYmuAPz3fyQ6Gi3X6wzjezCZjt9XguXf9wTY8xlyw/OF4/gGkrrHby3ZJ RnxreW5n59k2nnUNPsGC7XsY/k30ZuOjQWqcXDzHi2/p2+sF3DXn/H6cHnbhcPfhctwajz1r QSmrLijEO+OR7AyHKaHOoI8udW35fuKEtA6uLI/i8rRvWCp6vRKWwCtHWmGXHcP+7enzH7rS kaRli/qzseTJCZq7gwxQqVpZ765TPpBK7kDZiMwhPRz4ebcLDHYaHAaL9IAOA8yrWZEdYwzr jLGD0vqCbk+P2bCPfKt3h4N5CSnv8nnjYNADUNGru9L1xOvcsbWbOM2Guo0C2U2WwjQYAyEK 1FD4YZAAuXfkCLaznIuaPJIdw+PPkY9qyyQKRlR3YiUGMUgCF9rYtgwmRRxatSe2jycz4cA8 NypAz1AvBRaqFVT49IW1DjSYiHAgLGCH2ltZ7gHRloEPomBwXXhNpk5tp1Xc0kug0R8DTE1x eQlcg2WeCgyVJ0TKhgNtd33pbFFm4JZMbUU+potTWke+wYzEPD0oW57ymIHqYKxI1pVxzygX zbyaTVIfz2rpikt7MDwMw/1gYTtn1zgwchzx99T8B7pUVnZ8kzx8OLPmdj4GPLw9fH28+dfP L19gK5aqgeRgq54UGMpZmFWBVlYdO9yLJLEe1y0y3zATRcVE4efA8ryByVBKGRlJVd/D57HG YBh3dZ8z+ZMWtu5kWsgg00IGndahajJ2LIesTFlcSqx91Z0W+lJZ4MA/I4PsOEBANh1MPTpI qYX00OuA7/QOoGdm6SAGmgR6ARP/dCTQKoXpWM6rhSFktRNmqbP/vMZY0k7GIJlzn7Vyo5Fx qrHgdsp9ahuqJbv85ZQ2OR8uEk3Zb2NX70HaL51nelUOkKtTfxN/8nRpYhcZqkpVQVlqYTGX Te7VuowaKbxZ9w+f/vv56Y8/f9z84wZ2OGqczrldcffDHWdM3nyWNkCOEBxsomL8mpwdT53h q4WvuqFdOLr39oXHnUDd5Rk1SBeU5sxeYkVRYGaFFp0xFSSFqlMgPq5aODVGKWxiiqX7kxaK pLjvF7LqoYJhXtOl3aeBbfAEISTeJJekpGcAIaOMjgm4IUHXEnMLSGXwTyw8lxKLD0toRWal HR9fU2ircyndU7dlqs0gJ5jRNbkGovgd/LmEhOka0Om7E9HTAJOC+J7HZIREYHnNGjY/c2y/ PX7C+yMsgzZnIT728LhALUqcJGe+TafLAPzmfJEz5qQxlLVIrWsx/MVMYo1CbM+tQjnDEpRr bZTlt4yWmJHdVfVwoM2OOYAd91k50LFtgZ+c8JBCLglsCOAvlVg1bcwatXxJdVbcUUvsIk7i PKeimfKPuVGaliS0Q8cwBNje8g2bAI67r2GloY4hkQtyc6xKPB6S1acrda3RMryAWGHn5AI9 sjIpcMdIq9QqZh9vM1OjHLNizxptsBwPhohpnJmD8laRUZqRfaryLpNMzkbKWiVBKY3zlNrc 8Qy7IHIVkYYq8SGkUO+V4XBOUHNP1PrdxTmI8kpxsjt+CGcq0H2jXO8glSVxmqk5sY7e2SHv fbwng5wgr7tj5UlW7MZqly3oUR0ZNgABeaJED+PETOvhPCurnj7w5GxoNZy6DLmAqsqSAmRA q28BLdsYYguN/HseXccIAOWSDxtTzixpqrY6dHINCzz0aLJ7rTjnvGPaXCtBys4kd2XXsKOa YtUoDmAEHqgBGD8JxoewbghEbQIHDRZasexUahfn96WyBNQwT8JKTBLH/Q5Bnxd6tRpXQJ5Q upaEyNLW9HXCKNsmjoBpi5/8JcrKUzd4S6Qm2KDum1KaL+dWSRIrjQTrgzrNcCo/VjWk00oL DT9sVHukrbMMt5d6yl0WU5exEy/LMcRUplR2ck4kE5uCyYQjHtbHLRP0x5mkF7CIm+59dS+n K1K1T2B9qxQK7OuyTJElPGg6FioNA2+PoTnFFhHpaxP7GTWqoW7pg0iOcA4fM4PjpXGqhjXO 0O53jBVVp81BFwajypgg5qZ6jBLZ9ykoW5U287Yw81bNcDrThyFcqcpr2q0GpSdyBRKdzJAK LPcjo2qftazVThglRPmcqZr2EiObypAH957SF8Mei9grQ0pVKEx1Sph8siDo0pJXR4E4+rqR aTDlDNPcK1DPec2mOMgCFbY5p+EUt8NJnBslj0Mc9v+MXUlzI7mO/iuKOvWL6J62JMuWZ6IP qVwklnNzMrW4LhkqO8ulaFvySHK8V/PrByBz4QLKfeh2CfiS+wKAIJimsND6YZWG6zZ0bSvG 6xelsd2s4DoyRlHkwXZSoZrDeGl2RQQJs5SVYi1jjpeCRTrOSJxqW5ZzMwMgweqZBUu/jBl3 B/tCXMC4N8Nu2MAETb3YHLcGPOKJ1QNcdIF4bZDP7H4TgXKXsFymGIA49h7/Gqls2af9ID+c zgO/930KTG1JDIWb283VldWR1QbHlaRqFRX0HP4DjS7k5NNFPYx46ByZYZO2q3E2y9HwapHb hcK3MIc3G5sRQYPCNzYj66tBUPXHEjWObYcR02E4HlGtwuPpcGhWSUMUU3Sbu7u9UG+yQEgU IYQSGd62611pexr4r9vTyVaERXC5gqWlKpYicR0YVSqTTrVOYV3/74GMHZeBQBgOnut3dFsb HPYD7nM2+P5xHszie5zMFQ8Gb9tf7R2h7evpMPheD/Z1/Vw//w/UrdZSWtSv78ID8w0DC+/2 Pw56YRucsXhJohmnSmWhSi1lkobZEMRcyRNHel7pRd6MZkYgBmgqnspkPBjpt01ULvzbo3zh VAwPguLqjk4defqbLCr36zLJ+SJzL0It0Iu9ZUApOSooS0NDmVO5916ReDSr0coraEPf0YSw NFTL2c1oYrXUUl8xutHM3rYvu/2L4velrmuBP7UbXWgltF4AbJZb4dAldXVx8QGA/pBp89Ey 8O2kiCDM6soapJzy1hVlF1M7KMxEG0Z2YacRiLkXzMl3sDtEgM87FVncrRn56/YM8+9tMH/9 qAfx9ld97O73ifUk8WBuPtdKaGixiLAMhkr8qHd0sNaftmxpQl5wb8KIcLwy2/Fl1cjEuzpZ Q0ivnNzoBpwS8ERCWdRb9nXeiMh4ZJVZeuBun1/q85/Bx/b1D9hha9F6g2P9vx+7Yy1FGglp 5Tb0CoYVst7jFYpnM8ChyAjEHJYv0FfV3UQjrW/tNC6PSgEpC1BRYQJxHqKCRnrWiiG8wFA3 oRXGu6WDqkGZazRIYoo5HYclGwenN/lq2YqnsPWwAN0CIhq43wY7ui5nElEUhECSsBvKW7/h jW70cnrBslwaZefhioeW+BiH86w0X4tX+aZk0i6u/uOtf2NNMf9RPBXtSIwFrXVIlYzKgAl7 ppmWMFo3HinkaBGAKolYFYHKKV+4du0pDKTS2Wpu7BixUTkYdqANrNisaB63Uwufrb2iYCYZ RR9bfORhKYWiiG3KJfksoxwvaIWJ1nqSj/CB0XnhN9FUG2v2gwSPf0eT4cYlyi84qBXwj/FE jc6mcq5v1GhuomEwdjC0u4ijYFcQ2jrjhv1Y77syISdB/vPXafcESq9Y3h1S4UJZy9MmFOzG D5l2B6D0FqvMDE9rTMWx/i7S12/Xt7dXmL5TNXaUT02YXv4l9ZOlTQVVzjWtQeErVZU4ehoR 3FaQSZcJaL9RhIdsI6Wd6+Pu/Wd9hJr0+pXezBEOCfX2laqmLNWnZUW2hU1rNQadmm88LeyH 2PBXlS2fCOrYrZDwNMevhKLjFjawBK6VcQZfy3z1PZjcd0HaHI1urQnWkKsgccmrTY9s8O2D jfm5vD9j6V3qkCO7yphv4p8RLZk2e/j7scYYd4dT/Yz3iX7sXj6OW+vxEEzNaVkTK01JG8VF TavUjLBjtUPkNnFEy1Q8IHIBkqD/QKuRfTKNSlzvL0Q3b9XLC4gFu/AIRfVJcHK0Ydpirta3 n3eNsqA95uTFHJEViFIVX7NS1YaSRJtR+brg4QNIAwnt6tXw3WF/Er+axZl/r+UgSY1V6q+p ymk2BiVGsQxT7LbqdGXBz12PxCKPB6AD6eUQJFgLykiz1vQsEJm9wuMO7yYdJ+z5l/IWqPJu 6MwKpNSEL+iW7oF49gcCxSeoCP86/OF7VMLiWegtyVA7AGrdjPRWC9bmb7oJgT6Ll2HEwpie EQ0o3DymGT19G8SCjW/vpv5qRMe9kaD7sVkA3JsdB+3IXi1xr3IkuISO0Ku5hCZjNzBrrnS6 /yDHlZb2gj84Ek7Ke3oAbMLUcZqpDBLXO3Q9xEtuJrTfbhImvGQ+ZTpAU3Vz+tZQhFlWuF6p pe2plftsVQGJQ1E/ix1O3wI5K1BeTVH+X6xRCkznoe18g95DlmQnvm8dqqxyeun4ajRxXJ2R iPXoakhZK2TB/ORmPJpa6Qr6hIrjINjCH+3K+kqQKaGi546N5hfh3kZUSjd3jriXAiBfbXXz 8b1V17MhMod8fHdND6KGP7kivR5b7mSzsY5bOp5+cbwnOzsCuTdEO+TTCRmkquVq7nl9zSf2 UEH6zfhCk8rnKN186WroKov6tLk2koLRVA2jIgel6XMoT0h8D58BtUpexv7kbnihM2BgqffW 5QAJ02g0nKnxTgSd8fEwisfDO7uFGtaIeNain5rC1P39dbf/+7ehfCKjmM8GjePfxx7vvhIH lIPf+jPhfxmTe4ZKY2KVJok30Kbu7sBX3N3ckkGzLIkXWDRQ/5ZrV8vyuHt5sVeg5vTKXinb Y62SJaQxRANlsAQustLs94YbMH7vTD8pKcFDgyxCryhhr3elT7pvaAg/X15o0gbkgTC+YiXl BKZXpznh7M/udu9ntBCeBmfZyP2QSevzj93rGa9LCzl38Bv2xXl7BDHYHC9dixdeytHv31Fd +X6mg5l7qW6G07igvFkH4XQq6AZK7+h6mzleovB8HzZFNsMrvI9/9Y6g278/3rEpTmh+Pb3X 9dNPLbQnjegzZ/D/lM28lBo0RelXMdPuNCDJ9eYhaLD9EXf3RU+1JXJ5Cw0UX+vCBRCrMJ1r Fy6Q1jizC9EgDWOuc7NIzRlPwQo0v84N3VotmxAMHRG2QZD0NgxRtBwe8bgKab2didtwDJh6 KAGpxFffHtMHfCo3p78WDukL/LpK5ok2DXsW1QNrUVjjbZ2GqqbCo8rMuusL/3VX789KX3j8 MQVtbIOpaO3dKGhWl4HmyvpgT4k3W0a2b4NINGK6CZ+vBd3VWZBQlWSrsLl4cwnWxuVw3HyW IFgIHb4zRqmVQbXcECbjVpVW76fAD2jkYoW2fFY86IwAg1lQjLxYcu2Vo6J7O0enqlk18RRg K9cuUjXkGcb9cKgTDYSlOan4tQknLCMSRnJ7L+rCw8wNGscH3voNg8agqKUY5NSAXuG5U8Wy MlYfqNHPJyWmqbtGS3UzqiSKU3xXTisu7RPGN+j8yRvnouZ2mTV1kt3T8XA6/DgPFr/e6+Mf q8HLR306Kz5PyhMJl6F99vMifJw5nhnkpTdnpNNhgpdd+2efujW5TdTS5FtKlbNcdWX2YKr5 sWKwgR8iVkyW3S9zGwijN8w9de1p3hSTiXRF76kYmff29sZxqVLH3V07HjpQYJxNxtf0dWED 5QjVoKMcUcN1kEM70kGO8IsKyA/88NbxlKcBuxt92hC+iDoFgtqnZRslOXfcsFZgK//TLJtn qxNGG38V5AwmFfHeIdu/1Pvd04AffPKgsrloWvnz5SV7jgkbTWjnSRPn6CIT5hAWVNhm6IqA oqOmDqNciyr9JbYXuUORjdUnsVjznKVoW7Wa2X89PP0N330cn4hLj0I/kZKURsmLbBZqKwEv fLnUGFcdutKbmo6F4I/c5ejRQlx84fuCx+WwZpU31zOyjciadqukx+JZpmm33ZqZLJbEutoK lMZXTUKVGQasrwuM/GXrh2p1R1G/Hc41PnZGjfkiRF9jaHyfrCHxsUz0/e30QqaXgzwspci5 OIQFAlloCZR7N521loWyL+H9uTUrbB8V2FwHv/Ffp3P9Nsj2A//n7v1fqJI87X7AQA501wXv 7fXwIse3Vo822BXBlt+hjvPs/Mzmyqurx8P2+enw5vqO5EuXwU3+Z3Ss69PTFhSsh8ORPbgS +Qwqdd//SjauBCyeYD58bF/xlU7XVyS/E8MznKitsL7Zve72/7ES0pWXlb8kBwT1caeI/qOu bwuVC6klKsKHTouQPwfzAwD3B71cDRPEmFUb3SJLgzChtVoVnYcFznd0ylAUGRWAriscxBua jbYlnnu+fgFP/R5UZRDebUWrqY/lkdxXvQpXms0i3JR+byIJ/3MGpb71gSWOwCQcdFQP5Cbq ZKMBgGA1vJ7c3poZSclsqj4U1zCKcnp3q8anbOg8mUxUCya+2Fpod6Pk9glyueMIkTlEh3xt e3uA5iRC5hGXCooH3Bh0UwBIJ9ThJ2DlHuarsegu7mqwJ2PeVDkVOZperq1CK+nn6JE2I2+I FCH6+8CPssjiWNecJG9W+AkvZ/jLd9z1l0BpmJjTYW8kBGOdPHKfENDQs4V/fD+Jedw3eOOs 1jjWaGfY8Twx/WEa7szHYIapJ7yLzE/hZ3u2WZVZUcBEoAeGggssvxsCxFlYFLQxSIN5seOa IqLQ7sOSzTR5MP2DNFgC8nAbQohuA0TlG68aTdNEOEuZbdAxl66HxhEldnPpb/VPMObYVFBt fLCL2ZXAHY7MYDnNCNeHSFdRXEZ9T5uTLIB1mqVfQ588clY9q+FHFee9n019RDeb7f4JXU73 u/PhSKnZl2DKmCf8sb398/Gw0xxUYS8pMtOboxUqGriyBXjUIUy6giVRcT3DnzjV9NeiG3Ke wDQMPHvhW6wH5+P2CX3FraWPl9r5CPxEub1EG5Cr23sMhl6hpxlihKORkwtCXwHzBijc8E6m YN0BxGfACP10KWcSuYyVC32FlrSKjrPQsXmpmD46Kgx8gpqXjKD278a3d9PsPunLFeWOEHER aYkCCSDLtZnCWUYfR/KYJS7zkHBN8mWcNYc+vnR6LyWW2tXaRXV5Q0bT2eHJgpjw+lNnHgZB LaEXOcY84+SxF/AYejJo0sSo0qdEQ6o2XlnSBQbEmPZ4BM61ndy1KFTGMbyWT7matxge+stC nrmoHOM+ztdZMNJ/mQhIKpn5nr9QJMkiZNAowIk4QQSof0+CZTvoQkDPJGtFItu6kcCvAkO0 zMYoMP5udNtqda3TH5ZZ6emkrnjasQgwCnqYIitLhYmZ+4XjHiyC1p7jgA2ZLmewecRHWm0y v6N0CbS0Khv5lDtwx+elV1ppNYHEPX4fZ3M72QvOurOyGxzdRy3tk27uYGIUicVgbna1CS2W IMN7KaCEKUOpiIQYI1oSQb8Ji5IsYRFG1QoEQ8dBTcpi2Wz02jhyjT9jDHWzEgegOc8lrfEx zHIyOQZiCPJBwNetOmmAbhqPGoIuD8iMxWOux+bQyKCAzPWAYVw0DdkhEe/iyvUChX3i1a3z giNUUS0Hz/mJMSvFTzwsEfYgsW9EhkorPF0bIM4zoyX600mBcE02yS2LUFkDH6IElo2hSRgZ xfNLpa/xYmPEr7V5K2kaKVpiCByF4BuRQ5qDKXKUYbx8jFRqrAQdFSOGMAy1VwVkNAoK6cVr T4S3i+Ns7UiWpUFIb/YKKAmhRbLcPoTyt08/tbiF3NhyGoI5lwURx7lW255K3Tvonm0VWcrs gz+KLPkzWAVCKOhlgnas8uzu5ubKaNSvWcwcftbfmHk3q9cug8haO9oi0cWQhpeM/xl55Z/h Bv8PaiVZUOAZhUw4fEkPlVWHVr5unVowNm2O13qvx7cUn2V4rwjU7r++7E6H6XRy98fwCwVc ltFUX9xktpSeURozQRCMLhe0Yq1KsRfbRmpep/rj+TD4obWZskpkvms9Fzx/weKgCCk/q/uw SNUit2pRJ6zin343bFU8uzy9DYdL/wJIqQwTfRoX6Fjq2mC8wNp1GxK0F4WPLHwoFn5XWyxc OQNDhlJR997QlgHCCxLNzOj70Pj9NTJFnpbSjBDldZCOs4atKpSn9kSWEsZBQfTUOGvd1624 atJJUbDjUtKphvGzRFwVxP01E9usValv0n1Jo8XfMpNU4FGVXQiQNhk1VpvsRQDCNEuJLyUv x9t8bvm6B3L2jdaZVVDkrUAphtITJYKCGt3cUjAEMJq3A9lcBEBrj46qt1xP5mVgkj1sPSLM SvuN0f0dXVGt+lW9K/ayXIRpyXwR8oyosl94ibZCiN9S1DOe82lYtGckf1h6fKEtPQ1FCn7t Btor3Rpbbu20dt4CA4ymkFcYQs1lGzGgwlf+QmE1HJ5iaObrDmW0fEfXO7cjx9+uSWpGVn/z 7XJVcKhcqsK1CKIxE+4R3+gWDpNZGATkTZq+FwpvnsBIkR0l0xp3W7OprCYMXwWgKFUqIzLa oY2zxLle50byD+nm2lqugXjjSqFoEteUeUFDJ1x0lXqUQ5pW5g0kPcKt9DLVACa5sIQad7M6 eqLO+BzvzoXmbxRSYrT0tEuyBYBBpDJ7saBlX3dsWnzocAv/HyGn16N/hMNRSgJ1mLNiZs1b eY2sZGbBPs+xS/DLc/3jdXuuv1hAYXO1Sobn90QpbJOqiSgcdxIb9sx0SOkltpXj0rE1xCVF ihW0dE9JOL14VWTWhOrtCmG5zop7VfajZGTVdxh+9M2siOF9mjHvJPkKJHk6wR5yO9ZuZ+i8 W+o5Qg0ynVzphVM4Iydn4sxyOvm0xNr9GIMzdHKchbkZOznXTs6FCtzcfF6BO0fCd+MbZ8LG E230565a3l3fuUt8Sz1vgRBQaXF8VVNHqkMjaJDJpG45IcbjPmN6mm1WQzO9lkEf8qkI+uqY ivisnhO6TDc02Zo3LYN+NkerJXVpTANcO5rHKOJ9xqZVYRZEUOlrL8hGv3vYMx3Xg1uEH+Il yE8gaRkuC0rM7yBFBsKKGuiw4zwWLI6Zb3PmXkjTi1ANHtaSmY8hUwKzEQQrXTJq49JagSxd uSzuNcdjZJiGjSB2XIlPmU8Ha2VZtX5QzQLaiZR0PaufPo678y/7HsJ9+KhtTfi7KsKHJUZX ETIltUfLYIwodgK+AMFe2U1KDFIaBm3K7Z4ljcE9Xc2xChb4sISM7+xw9260Jbw6wIWrRlkw 8ui8RaqCqfDQFg+dplACtBWj/bASL4I2lxF784QJow30oOyh3Vme1DoOcqE+vkgGNVgZq58o cGvi6qvoqbcRefLXl9ft/hmdOX/H/z0f/r3//df2bQu/ts/vu/3vp+2PGhLcPf++25/rF+zp 37+///giO/++Pu7rV/HQR73HM9p+EEjX/frtcPw12O135932dfd/InRCP0J8X0T6RAtztfIK GW6zudGl6J8UCiNh9BBBgkbx7y2zgcKCPrl4X8yAOoNtCJw4eoA+Vi7ZXQRj6D8ntnuVl2yu lu1u7c4Z0JyMbQNtskKqIZpeD7MGG1FaGo+/3s+HwROGUOyeTlVtkBIOwh952NNwvXju5czM oyGPbHroBSTRhvJ7X4QvczLsT2DULEiiDS3SOUUjgYoiYhTcWRLPVfj7PLfR93lup4Baiw2F /QCEFzvdhq5d525Yzlu7+qddyFn3XS/jg3ADCpAN18HzaDiaJsvYKnG6jGkiVYdc/HXnIv4Q I0uYvnpvp4/vr7unP/6ufw2exOh/wZdLfinrU9Pn6kNFDS2wR1bo+wQtWBDlD/0i4LTrSjuq E1qCbCu4LFbhaDIZasKbdLH6OP+s9+fdE2i0z4NwL6oGi8Hg37vzz4F3Oh2edoIVbM9bq66+ n1iVmPsJUQd/AVu4N7rKs/hxOL5yXGJpp/Scceh4d4/x8EFECTPbaeHBArpqe2wmrh1gMMST XfKZT5UyovwKWmZpzxy/tJZIKMbMosXFmsguu5RdLouoEzdEfiC3rAvdp69tSDShlUtajmtL i47R1rBYbE8/XS2XeHa5FhRxQ9VgJZHyEHD3Up/Odg6FPx6R3YMMd4ttNuQaPou9+3A0I9KT nAvrD2RYDq8CFtmjvMnKWmv+wfhuMcK/+eJaGVBKXcec2As5gykgnF3thi+SYDiakuSbK6Im wBhNKHW/54/VkBjt1Fx4Q4oIaVHkyZDYvBfemCgQT2gluGWjQ8Msoy1VDaacF0MyilzDX+ey PFKSEeHa7AngGafzHbUq6YizLSJdztglaajwr4nBm631S6IGw4rp0g5dLwlBA7X3It9Dhar9 yJpiwKXsYgrb7seAbJHok233fuF9IwQ67sXcG1Ejst1DLm51AvPpzOJ0XLCOW+Tyzoc9Bi/M yFKPT9tS15n5LKAcXoe392N9Ouk6TtugwpptbyP6GVBDnV5fGNLyMMn8RBjw3R81x4vyChuo fIe3Qfrx9r0+Dub1vj6ailk7vjmr/JwSjoNiNjeuhqsccveQHHqVFTy/pJRYBWEl+ZWhOhfi 9Y380eKiqFtJfYSSgpElyuPOtIM51Y8OUehebgQb5toq/wd5kVpRxw1TIZZnMzybIEYUVgij j5ia3evu+3EL2uXx8PH/lR3ZbiQ37leMPOVhM7A9xmQRYB5UV3dt1zV1pG2/FBxPr7cxsTOw 20CSrw9JSdWURLW9L4ZbZOkWRVI8DvsngQ2oysRQQqFcU7Jg0wFIuHIlNH2M38QS+doQL4v0 c7mIe3quvBQbec+NfuyyzOGG2JEbcS2xiejqr0Yg5yg0nOrGERGrP7+SQjkw1LJejXkaPWOA IbmdhliDKvLrNJctYBlemsIN/Wb/a8rZNq+u5frUcFNjrlRAQYUdRtMMSevu+YAOjSC4vFD8 q5f9w9Pd4fV5d3b/v939t/3TA9dV6Ncp3JoYb2lYdImyUds76rZznZSN6m+01WZhD1gVPVkY ruXT3LFIJLZkTkAQBSrZMw0xmmKrfiYTKvctV8VMZJMSeCQMYcLogHUaa3K0bSsr9yZv+yyi JsdMXhSWOMnFNDZah6qqsCXM2eL5GliQVwzsN2waINpO0cUnFyPk0KGicZrdrz5eej+X0DTu 3idIVaZ5ciMLoAzhSvhU9VsVeUzVGEkZ8QPp00+RCBZATuWu/My3QyLJTak0CF9QwmhXI4t1 vyxhk7W1O1MGhJYreG24XMqtJrZeqWdzwEq19YxffiViX4nYjtmAVyzhX99iMZ8iXTJf/1sS dQyQ3Oa61K9mLhV/RTWFiqfqOZaNazgqAWDoVB/Wm6T/Ccq8IE/L2ObVbdmJgOrWiRPFAa1Y 7hqV2TPJ3yYsHeHhieEH2T6gLr5XNbcFH4Y2LbU5j+p7xdO8KvI34m54uojcVxwigOVOxKsG eHeKYgRo9LbB9tqSDwzhZNaAuyMJ4pfBqCtFRhtrYgiFGoZ8nDodzoynQT/CMXAWgou2D1Jh y1iOdZjTVQzYI3QGQU3bWMBcOzOD0LR2ZA6qK++BLBMouBmz3X/vXn8/YCC6w/7hFTNRPOpn hLvn3R3cZX/vfmGsHoaKAs6ILNugfbSfvmB2qQt8QJ1DcjOKcaccLFbTX7GKIkmIXSTRsxNR VFWuGrREO0axxllBZtgzvXaK54FBhlWl9z27M7pp7t3p/8Ivt6p1NEz4e6Gb4iOtaxO4nLax rcuUk5W0up1HniIKfeWByWSN113pWBLCjyLjGTPx1dG28Gs2tGG7q3xE89G2yPgxHdBluGUt DXB71a6uEd8/m5U41oVpCngev3mSGoZ1lZUfw74ZYB8FVqeAad1l/DGJw6YF6D5QWhaRSr8/ 758O385ADD77+rh7eQjfrlNt+oV5cyvgr6rlzefnKMaXqczHz1fLCgL9RbuSoIYrzqbWSQuM x5z3faPqXJzpaGcXncP+991Ph/2jYVdfCPVelz+zoR1JCp0OFBGFbWzEy3pCnZLrKFnAZZCT lxLQjMtlpLhdOlhO9Lh2vQF6EGSpNgCKBGANCMBsQl+A6leSt6g5yTmlH0DXg1o5ofR9CHXP ZpXyRgwEGz2fTS4DTVbmj5ey4yP/ZJurDdK5MDqrFSHeuwo6uxNqXPb3dnNmu99eHyhDWfn0 cnh+fXSDRFJuZpRoeEBDVrg8KuuV+3z+54WEhelsOe8ewvANZsIgDZ9/+MGdfm7vYEuImm7x rzDRA70eEgLlQz41w7YmfLiXLIEV8RqwsptV5hBk/C18sNzCUzIo43eJd4zi9JVgvDKNPPZK UtBoYILhlwavDvKG8ctOtMkuM2ZW864d4a4AuvXklb8upjfc+GKpjIXCoUR61yMmH+eKZl0H Qu1V6S3WArJkQjC2ZVIrpgLcNqJlCgG7tsS07K7izIXAtjCus/E2jsi+yUbQeXSd9cfbJhgp I9jiplgQlVx4ob0uvZmyUArVFgmV6iCiZe070Pp0IqoZHaVF1K4LNhZBrPPuMn6+YHdTNSXa 7Tp2KM0+BJa/Avrot/BWOQYxIlZEOxZcfDo/P/cHveAudjNuamoZmQyFhlQFG1ub9kyDkwt0 gEsuMyDMfWvvPK8rv0qZ0cyZo2hMZOgjnBh9a6Bk88ZEUhfQFbXQPqxh10OgMY3aYPKUUNo3 UNxZ+iQd6VKWLf4Cru3RkVr4IxnWXnAmI34A/ln7x/eXf51Vf9x/e/2ub7713dOD68KoKOgg 3M2yt7gDxwgXE1xlLpDY2WnkfnRDW4xo1oRyXT7Clm5lMzgEzWsMwDOqwdmTemMtoKWRi8ul 9aRtR5KEGVpnope/hWJGwg7W9gvwKMCpZP7D5hII5NSMaptLYDG+vlKGHkbcj1ZgAtjdTjjI TZ53mvRqJSZaVhwvnh9fvu+f0NoCevH4etj9uYN/dof7Dx8+8Gjw6P1PVa5IYvA91boeY0oL MQA0APMwURUN0NeY5zshICGKHkDUL0xjfp0HNNxG6gyuSRl9u9UQIH7ttlPcmce0tB3yOviM eugJl9pZrpNQhWItI0Kzed6FNMTMn36HkqJv85mCE4BpC4Pkf8exiWLdQg0LpwZZ9vs/tort G/nGoKBbVIqb9BJhI6DTWWTi0QZzavBdFwi01lyeuCA3+kqLEKhvmrH6ene4O0OO6h7V+zwq vp5oLw28IeF+dnZ3i63CLyg+RBm79+n+bShRNKrj+6nzHTE9WhDpvN9q2sNMNSNw8mHcLWAb REZQH8N0Es4mMBqRgce2GH6CQfLCrcMQTn2McU3erABvU5IWF1J9eeFWE/fDQmj+5ZQDFI2B 7L/nFW1ZTJvbytHJ3En1lwPovJYe+3hWD42pg6gAP45KR1G11HZ6UIyPI85hkWVPQ2Ek3VrG yW4ahaSnsGfQqUCf2pqYSFgdfDzyUDCeIa0FYgIj3oy+bXxqPtS1HIG6O6j2m722daup5zWJ FHAJb2+VFRjIk/BLx0ahBZ4XplPn3QsGzqoysuew5WrADjj6Gg4lSMbisIL2rALKb8gghvdi EVA8ZCDI29t8I+yCcLGPLgPSSkskK7Lay/dw9tG7r/cIdDAymBtgvYqgXHPTYQfX20qN8X6Z jWY20xBskqFRnZu2xwMsfLa7krraBHMDr83YPEbEgeWBEoITRUJQDRB3hc4m+ktRP74gw8Gw aEKj0elA1216zm/9ozFRsHC973koi64Iyuxa++VyDZGjzlSVzbg2X4kTpL/XBzIae/J4nKT3 b34uOThoQ1X0UoRzLHvQmO00qh5ffKLcDm/wTeRBYfzj8Gp93AODLtytLscT0gCb3iNx1PGm lKngLB5Kf32ZCbqGWyQewmxb7je4a3mookikH29UXJk+7l4OyPehUJJi1Oi7hx2X9DZTI3ux Ga4Itd1tbzaJo3/qahmJ970taHfGa5RapmRSb9dtAgfZjp1SLm7Slpura0kb5GsoNivfOfoz xJcYGjhtRPW1AORZ1FWbzA07SonJyaBlaCNR/QilLhtKwRPHiH6fWH6cBIUoI5agbW7IxOFD 7tBWLeajiEftR40UHuKlDmmmzbOZoH+jAazz62yqu2B2zOOVdomLkCqDN6SdFAOHwBuAj242 AirXlj/xavVrWqzWaSqzoMprekmPV2nVPrFKezT9GEn3702RZwZGhWUWCZlaNhn2/kh5Y+0V ZV+DgOa3NmV5pW6C9uq8TuHqP7UVRzJvihjR2EpOI5B3HSp4Ixlu8zoqzZ6kaoHrnX5H/Afv zhKDJaYBAA== --ew6BAiZeqk4r7MaW--