From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============3528538274734671801==" MIME-Version: 1.0 From: kbuild test robot To: kbuild-all@lists.01.org Subject: [block:for-5.6/block-test 12/12] block/blk-mq-tag.c:135:2: error: implicit declaration of function 'cpus_read_lock' Date: Thu, 09 Jan 2020 21:51:21 +0800 Message-ID: <202001092111.HTa2XKyJ%lkp@intel.com> List-Id: --===============3528538274734671801== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable tree: https://git.kernel.org/pub/scm/linux/kernel/git/axboe/linux-block.g= it for-5.6/block-test head: 584946919310652c384d95ee9d8a538ced9e62b7 commit: 584946919310652c384d95ee9d8a538ced9e62b7 [12/12] blk-mq: allocate t= ags in batches config: mips-pnx8335_stb225_defconfig (attached as .config) compiler: mipsel-linux-gcc (GCC) 5.5.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross git checkout 584946919310652c384d95ee9d8a538ced9e62b7 # save the attached .config to linux build tree GCC_VERSION=3D5.5.0 make.cross ARCH=3Dmips = If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): block/blk-mq-tag.c: In function 'blk_mq_tag_flush_batches': >> block/blk-mq-tag.c:135:2: error: implicit declaration of function 'cpus_= read_lock' [-Werror=3Dimplicit-function-declaration] cpus_read_lock(); ^ >> block/blk-mq-tag.c:141:2: error: implicit declaration of function 'cpus_= read_unlock' [-Werror=3Dimplicit-function-declaration] cpus_read_unlock(); ^ cc1: some warnings being treated as errors vim +/cpus_read_lock +135 block/blk-mq-tag.c 128 = 129 static void blk_mq_tag_flush_batches(struct blk_mq_hw_ctx *hctx) 130 { 131 int cpu, err; 132 = 133 if (atomic_cmpxchg(&hctx->flush_pending, 0, hctx->nr_ctx)) 134 return; > 135 cpus_read_lock(); 136 for_each_cpu(cpu, hctx->cpumask) { 137 err =3D smp_call_function_single(cpu, ctx_flush_ipi, hctx, 0); 138 if (err) 139 atomic_dec(&hctx->flush_pending); 140 } > 141 cpus_read_unlock(); 142 } 143 = --- 0-DAY kernel test infrastructure Open Source Technology Cen= ter https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org Intel Corpor= ation --===============3528538274734671801== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICI4pF14AAy5jb25maWcAlDzbkts2su/5CpZTdSqpjTdz9eWcmgcQBCVEJEEDoEbjF5YyIzuq jDVTkiZZ//12g6QEkg1NTtVmbaEbDaDR6Dv94w8/Ruxl//RtuV/fLx8fv0dfV5vVdrlfPURf1o+r /4sSFRXKRiKR9t+AnK03L//59dv6eRdd//v632dvt/cX0Wy13aweI/60+bL++gKz10+bH378Af73 Iwx+ewZC2/+NcNLq8e0jUnj79f4++mnC+c8NGUDlqkjlpOa8lqYGyM33bgh+1HOhjVTFzfXZ9dnZ ATdjxeQAOvNITJmpmcnribLqSKgF3DJd1Dm7i0VdFbKQVrJMfhbJEVHqT/Wt0rPjSFzJLLEyF7VY WBZnojZKW4C7Q04c0x6j3Wr/8nw8S6zVTBS1KmqTlx51WLIWxbxmelJnMpf25vICWdXuUuWlhAWs MDZa76LN0x4Jd7MzxVnWnfnNm+M8H1CzyipisjtGbVhmcWo7mIiUVZmtp8rYguXi5s1Pm6fN6meP trllJUHO3Jm5LL2ragfwT24zGD9QKJWRizr/VIlKEJS4VsbUuciVvquZtYxP/dmVEZmM/XkHEKtA NH2IuxG4wWj38vvu+26/+na8kYkohJbcXXCpVSw8KfNAZqpuaYhIU8GtnIuapSkIkZnReHwqy748 JSpnsjiOTVmRwC03w4jRR0+V5iKp7VQLlshi4rix2jxET18Gh+tmMc2n8CQUnxlVweQ6YZaNd+eE eI4XxLJsDHYExFwU1hDAXJm6KoGw6ETfrr+ttjuK11byGci+AGbaI6lC1dPPKOO5KvwbhsES1lCJ 5IR4NLMkMGxAyeOnnExrLYw7oDY+v0Z79MRSC5GXFogVlFh24LnKqsIyfdcT6QY4kj1eVr/a5e7P aA/rRkvYw26/3O+i5f3908tmv958HTAJJtSMcwVLdDfdgudS2wEYL4N8CCg17nKPuCRebBKUfS7g wQGqJZEsSLaxzBoSWhrZH28Z/Q9O7jikeRUZSmKKuxpgPgfgJ6hcEA1KF5oG2Z9uuvntlvpLedya NX+hWTmbwqsDKSL1L6rRFHSETO3N+dVRVGRhZ6BbUzHEuRy+I8On8LbdU+vekbn/Y/XwAoYy+rJa 7l+2q50bbk9BQD2DMdGqKumbQn1uSgaXTYJhH3xWKtg5Ph2rtCDRmv2iTXFL0Th3JjVgS+BVcNAP CYmkRcbuaKnMZjB57oyjTigLwWtVgnyDpUbliNoC/shZwYUvL0M0A38hqE0ZqHAwhQncM2ijpNGW tUBzXDAr+8rpJCJtFxvz1/sNcsxFiVNqqxn3VFlcpscfjbQff+dgmyUYQO3RmwiLtqceqfHmFkbD aWNtjgONOT6oyp4MD3/XRS59T2ji7TVLgSnaPwozwPiqt3hlxWLwsy49kqJUvTPIScGyNPFfNuzT H3AGyh8wU/Adjj+Z9Nw+qepKN4q1AydzCdts2eQxAIjETGvpM3uGKHe58QWiG6vhT+L+D2DHDRR6 dBl8AnDj3fLkc8D7dl5ZSr0FbcQnn1oi4FbcKEkMDiWSRFCU3DvAp1QPbb4bhG3U8xw2qXjP8vHz s6uR3WvDgHK1/fK0/bbc3K8i8ddqA/qfgRbjaAHADDcm0lujWZi0J/+QYrfled4Qq53960k2OtXM gkfuSbfJWOyfymQV7WKaTMXUK4f5IDF6IjoXuk8NoCm4CJk0oF3h/amcpj6t0hQ8wZIBIcdqBoqY trtapTIbGfaWW/0o5CDSsjSdkcmX93+sNyvAeFzdt1HagTgidhaKXN0hsAxsQU7rcKbf0+N2enEd grz/SNuDV7cT8/zq/WIRgr27DMAcYa5iCIJoOMQecKEc3Z+Beu/j/MY+fw5D4ZZEEdg6xK1W0m81 Y4ad2FemVDExqri8eB3nQqSvI727CuOUILnwp1RhPoJusOwUBR7YaSE4oOiZkAXtmrj5c311HrjG YlHWxsYXF2dUvNABr3tqK4c1De2+aAbvakY/0ImsZXlBn6MF0oLfAj+cAF6enQIG1pTxnRUQM09l EXDYWgymc0EbmCMNdZrGqwjmFlY5hZBJazNhKlqndVRAbytDi1KLEstJkEgh68AmnBzZxeXHkDpo 4FdBuJxpZeWs1vF14D44m8sqrxW3AnM9in70RZbXi0zXsWKa9o4bjPIEhntzJdMMA0PSCIxV/DD4 mN4KCJU9B/MQ3cMTiDX47qD9wE33DKVz/1UuLRg0CChqFzH4PhIXc7BxV55x5RCI9UcavYsxD5F+ cMkLU5Wl0hZTDJib8cx3kjMM0bmaCg2C0nP4ITqO0ckpEskoZxwRGhFscXre8nHRI5EAQoiI4nVZ LD5cXi6owesBB0wJLByMZefAfGByGzBeH/IIPUvtnQdnXV7U+qK/VcxuDsF+cE5IxRHdu7t2zCdv Gfg5tpaGgT87v7kgOXR5EYOMzIQuRNYn9wrKFAQe1Iiob5nlUydeB6eldQL3359XRyY4Mj2PHJy/ SUWnTJ1nhYFgfTXreXxHwPm7Ge37HVHeXc0oL9Al6kCLLOrPoCiVTuBdnJ/7Z8dbgag4FdYlNT1I 9/KSKi9rm8UDsUjLjm/9afCsAFaNBxsh6hFCUCFEYjBfZsDiWkcaIuNccq1a73CwWy0XcjyaKQiB XZKgzjQlLS4FNSdmmruCD87GjExacT8bA+Byzc0HUoAwz9eL9XoSiCTO3wVkLzdsoHFSiMyAGLxp zOkP8pEXtGsEkCvaogPk/IxyRxBw8WFI/po2/Q707sQCwWnnZ/0tUwxiGt9fL3H6+QY219f1U42J yd77EgtB2zWumZk6EaZNs+AYfIXNmQJNlZbvrro9EidoTEeegIsmwASpHEyksiiPzggN40WnKrx6 ySwRxEtC33bmEjFjWDlpijwZxJOZAW3nNFH8souenlF97qKfSi5/iUqec8l+iQToxV8i93+W/3xU U4BUJ1piVQZoTRj3rGqeVwNpzHNW1rpoxB8OXRyfAAVni5vzaxqhC3dfodNDa8gdePmPD3uwEBrV g8vdHHR3+fT3ahtB5L78uvoGgXtH8cght6GpjMEguHALM1Pg7/m5qtY3MCVYXgLcQkYDLvj+3ArI AGRmsnRaibIWOcTuQpT9yMFlP904bSZyMF0z4aovJM0BNZexISndfoIz3gqNpSbJJaYz2uwC6e8F OXxwIRqM/IBxqMwCTD48rvwcAKpLrLKEsvvtBH9kRN7RS9fbb38vt6so2a7/GmR9UqlzZ+xB8+aM 5udEqQm8vw51lGuyq6/bZfSlW+XBreJnzAMIHXi0v15CDJyJYRWmwhrxKCHQq/4ut+B678G/etmu 3j6snmEpUuTdEqrJ5fRszqxxe0mG/IYuQsZiQeUb3QvBXB3Wd60s6hgLtr57BStKMNz48GEROwDN hv52M6qFJQG9fLAbcRtwunSq1GwAROcdfls5qVRFVBUNnAyFri12Dh4++g/gY1mZ3tVNYZNAqArn +sDDFpO8CRB8lMbpVGlaD0+OTQK5Stqy+fCgWkzAYqK+QFuB1TJXNCuHx2/zsSOOHC9tsKFbBs8a C+UQy2GKtS3nEyRa8wkvIetFXA7DbQvvU3Bwyzyvp2l06INdjXNg/oi5g0nGauWnzt26eJtiYd2N z+QIHKhaDuVxXK8cYMDFtEwoBZegDT3jqZIqE8YJPRYhdD+aaMmLBV570dT08VyE6LjZLjsLTj51 Az2rO0BwC5Bi25/1YXz7XdeFVWWibotmAoTdqhrKKFflXbsI+Pa+u57BjdYxnAt0ZDLOdjdijzym ztX2meh6OpSqRijbGL0udGfNJ1zN3/6+3K0eoj8bT+t5+/Rl/dhUtI956BNoB4OYVRPQU9hywvnN m6//+teb3h6w56fB8RVGb7DdEo+eH1++rjc9E3PErPkdd0fN8K7ovLWHDfEAWlz4TwPXX8NGuYEH Ug2L6AdGeJsbZulfsRaHUo+tcyyY+UrYVZUMlmW82Kl5EL45aYbaABWdZcqzbnCqAuHByQ2YduGP yjMERzpG80NrUqDk1WEGavItGK9SgxY+hYNFlFvwe8FTLLwSeC1zFwPRBbcCVAko+rs8VhmNYrXM O7wZlveoBqu2pn/4OYOIykjQT58wOdErAbYV79gE+jSO8FDv07FobsVEh8S7w8L8BH2JiNGFV+7x 01lWRLuN6eqEOylmCUuWjTykcrndr1GuIwuhWb8EyMC0O8efJXMs5pNSahJljqheHTiVveGjWzxY 0b8Q54w3XWLq2FnhOWj5J3CWmkAYy/7IFs/yHIGzu7gfXnSAOP1EKoT+eh1FWTjGmxI0Cr408DT6 7WAN3On/Bn4KRs69BeEQock+sD/74Fe6tr3EbdGFOGEUfTtAOEZhjuXiP6v7l/3y98eVazCNXGF3 7zE/lkWaWzTLg0WOALTl1rsSGOo3IeCvJqnWWVmc1fb0eK+zoWi4lmX/aTYA0CBUgIjUkbgvb6Fj NWXX1ben7XcvRhrHBG0iymMbDIDHlrgoCYLzoTePnQruwhqcETxlxtaTyhs2ZQbeQGndLPDOzM3V 8UTgL/D+08rlRLP+kPPrrIIoo98MYXKCSx3nnV+TS3zfib65Ovv4rsPAtCS2ADhXcdaLuHgmWOPS 0ymnnC4UfS6Voo3L57iiVd9n07Q30H1gSVeX7zxdOvgX2uUZg/1ycA91LAo+xYonXbYJisiRW37u ahZjI7IouqjFyVmx2v/9tP0T/KyxgMH9zkRPyJuROpFsQlxfVUivnIG/4J307siNDWcfjWVGmcdF qj0Zx19grCfKJ+sGq5AJclBTxXWpMslpe+dwGvGlxachguV9YyUPNM4JrFLcEWeQvZuQZdOgxVnf usN4Z9BqDT59/zxHpLIoe8Tgd51MeTmghcOY86SzJS2CZpqG42FkKU8BJ6gxRV7RRVA8pTsFneK9 Azcb4n4ZyF00K8ytDEJTVQU4XbNeI7gbEoEavmwWGqabfSjKq28AYcjyshvuU6qSMizfDkOz21cw EAp8xSiaFlZcHf46OeX+HHB4FftB8CGEbOE3b+5ffl/fv+lTz5PrkE8Nl0IXGmDr+P0DZh/GKmuA U07vXIwJDwoCyoCKBOQmg0E7j+UJIMhewnlQ8A0PPAqIiGmOg4SQALDAdEvORWCFWMtkEuwuddfv Kk49UU8CTQ7zjBX1h7OLc7ovKBEcZtP7yzjdl8Asy+i7WwT6sTJWBsqg2AVCLy+FELjva7pchmd2 XjF9LB6IbOAymIsJSLAqRTE3t9LyKc1Mg18xBKwx7Ah7fcIvNy8DESCepTD0klNDi687v9spxGBB jOwSPyaBJ1Cfwip4v/HeA+kFumV3db+VNv7U+wgHu05/I76WaR2HaL/a7btkjke7nNnRRwet3zKa OQD4vojHK5ZrlgT6yjije+4CgSdL4ew69KTTesYp7/RWapEJ0/NjeTpBOT4fsecA2KxWD7to/xT9 voJzorf/gJ5+lDPuELwQsh1BNwPTjFPXIYB9BDdnxxVvJYzSyiudyUCeBG/kI62QOJN0yx8X5bQO ZRGKlGZeaRimzcImPaVh2a2tioIsVEy0gr00LdfHehCTmZqTDlKTZG3FtnNzk9Vf63uyslRyPuic OhZo1vftjEgdfOOjL9v0DU9FVgasEDxLm5cp5dTCFRcJy3rZ9VI3FA+1LvflXXeCQ/Xp8Wn54OpW HStu60NVux0CN1+zA53eF38HbOcvn9r9EZPKnx2RXMjlx7XDnR4icpdiw6xSLxo+MAv70ZvCd4Cb DkHMdcBlbBDwE8iWTK1FDkJCW3REY1jO7ZBd2YqSv67VDYsTlVXdN4D97OxYVA7l/wcnez3ZiTXP jY3riTQxtleEOx14kuekFvUpe49WwSvioV7wSUFeYm77aVybOPaY0aM4Zsiel9vd4CHhNKbfu9xa YBU/YWjNcE2QCQxXxgSIDF23vttAtcNq8hOmyJouf7tdbnaP7pviKFt+7yfqYKU4m4Ec+d9wuEHV b19JbUCZhgAyCNFpEiRnTJrQytTkwUm4YaUCH3Ah8JDhhFiy8RJGt6lZ/qtW+a/p43L3R3T/x/q5 LXkPuMVTObyq3wT4lqEHgwjwaIYfy7ak0D9zn1s1SYgeWQQXavjh8AglBtXYdhFTQVuHlnlo421M hMqF1Xd9CCaeYgaO3q1M7LQ+Pwm9OAm9Gp5uAKf7wahN0PEWgdnvNR4cWJ6PmSAvqCuQgf7+Dhze eSjZcJhaWHChFmS/ViceeWLG+gghYDPZiYmVldlIpbBAgzfCAt/WOD0WY285qYNOvJr2e5nnZ/Rg 20Hn6zms5T2o6pHGbMuMeJMYCIcUJwTMpknY9l95M9wWb8PKIGN2xIpD8/fp/TZfmq4ev7y9f9rs l+sN+K9As7U9nsborWiyU6wvp6eg8N8psNPTF7iFoUJL1rs/36rNW47bD3t8SCRRfHJJ8uP1ow5E vhAF+HJhMWO39RDB7SYrk0RH/9P8eYGdctG3JqMb4Gkzgdrz66T6lKqYTqshbHoHDiGEhXQMTYcK YGwCXZhtHZGqYRZVluGP8Cz84MjT3P6oqw64FpCbD2PSXN+VViEeHRW2aImOw7VNt8VX4CEx5Qn2 m0IIzJM5TQG/B8b4pRaWTg0clojHklPMcxGZl+fnp+2+F3fDeD0MzLrY2p/TKKr17p7yTVlyfXG9 qJNS0QoFHPf8Dmt+tA/EzcfLC3N1dk6CRcEzZSqNH+/ouQx9Y87KxHyEYJgFkirSZBcfz84uTwAv Ah9JicIobWoLSNeBbuoOJ56ev39/GsVt9OMZHZBPc/7u8prOsyXm/N2HwKdaIbFa4Heci9okaait +mL4DJv6qSjR2O3GEtNAQBoDfestvGlDPoWRs8W7D+/pBGGL8vGSL2hPpkUAF6b+8HFaCkOzs0UT 4vzs7IoU8sFB267P/yx3kdzs9tuXb+474N0fEJw+RHsMEhAvesSPnx7gOayf8a/9ltD/9+yxkGTS XIKrFUg3YRKboXNTjpsg5Ga/eoxyyUG5b1eP7t9YIq5xDgpxpLK7/oETJDze8qkip/e0RL9ZLuk1 osLP0faxjaWznsdtd9zBHpdc9Vw9zWSC/5QP+a9o4ASvnInTk5wNRvBfKanTQ3nT7aBd2vX4Rz/B Vf35S7RfPq9+iXjyFgTGa77v1K7pbYtPdTMa7mNxYDrqPsymM8cHcCAv7Y4Ff8eUUSA77VAyNZmE SikOwXDMjg872I9ssp1I98xBM7WU42vpo6T8NQzp/v8VJIP/CtfrKJmM4Y8TOLqkyHQ+3uC4I07e uo84wuSTaZjuQN4P2S//H1ZC8w/WP1bYiqp1r5cWYaXLjbX/GNpmv316xO6f6O/1/g9YdfPWpGm0 We7Bt4vW+O8ZfFne93ryHRE25dK5/vhvnhDvCXGA0OGpAM374WL3L7v907coweYJbyGPQpw3j7Ch ASM0IYfWfUZQ/kM0qd4+bR6/D1H7vWDILuKQvSzul+Xj4+/L+z+jX6PH1dflPe1j/5exK2tuG1fW f8U1TzNVkxNLsmzpIQ8QSUmIuZmLFr+oFFuJVbEtl2TXObm//qIBggTIbshVk3EJXwPEDnSjF/yq Vlkxei1HN/rOFRRi8cJFphnCuCK3br1J7FOrU96o8CPvTtoQEBJR+RIdUKwS8+B5EL8hpSS0WFEI yEEJYeqMYvuZlxNXFVF32NMS4q2gKPFKiPTNQvavdP5G5F5Qt+o4jBBjDME3vh/3Pz7gaMzFNHx4 umCGpq01V6qV/tkstUS+mIP5amFPkkUQ+0kmrgDMA306239ddTEocmLa1bkjdm9qXJmQmD5xwRkO Zh6eXor9yHqCVimCGxqNUFNFI/MkS5jvJZbSz+QKv1xOvAjmFH6m5uu8CCKCqzQ+6DE/iE37DgsD G3scAuuQ2GqlH40pO0m/VctuecG97b3PgJRZEgrNS7YMOArxkWDCVjgEQjQUiVgmji1bCraIWo+m SDaRh8XJysoXrvJlZ9Mz4enyTKncUxYWdabbfDQa9kRe7JmvlTMh+1OieRDh/RazgsYCMExJInww YkvKHfPNagZKkjGbBZHS7z83CUaD8aW1blaj0c2Y4HmKeYJ6LWyKSwX7AEYmaG3hYACPiOb37jxg j8Smi79BRGcbkIk2imsV+sEMtCMyFMpZlJe2E8J8NZsEbeEGkjMwjaBMIAlZNhX/8LHKo9xyLpVH 3riHc41AOu7ZIPY9D95KVvgGnRdy0llfLCLR0Z9o4TpOUrGZWTvN0tuswllroLp5F8TOveT3sa2X qVI2y2GP2MFqgsG5HVwJGSztSiV2gIkVcko9UtGwFacnIGxEG3VZwqWI8zWlbpCmhKF4aCsoyiN6 fji9fzntH3cXZT6pmT+g2u0eK+0LQLQeCnvcvomrbZdDXYYstntZKYBslj7GnwJ5fYj6UREYavMW VtjnfDHvmvai2SJz2zch49RFUE8wXgkOtY6SNpTl9pMKmF6hT25mxuYQwsDA54zsGeVQicACuBBR oCkZMIG8wNMLgv5+7Zv7nwnJu1QQxzWzE0htnovlHhRy/u4qL/0DWj+n3e7i/UlTIVzHkrhuSxVX RMvFEHP6mOua2LZDFj83aUvKXomW3j7eSeEMj9PS1k2GhA34Lw6ikLKlUkSgTkZppCkKZS14Sxly K6KIFRlftYnqB/9ncBVb86RWl1b5E7C6ctbje7JuEVhwsICni5d2InizfDE7kX5qUllugzXtnsmo rLumoHeOa2YqEul9glC3VARJ6c1zcSmjnAGrmrQMWIz7A7/qXAjVhrs9PkqFH/41udACJL1Dg4Nm Q7oBP+H/le8MQ1YKgNj/05yQikuCjC0daMUyuYsQaNTxjGAXk3lkGaUkwblgFgVthqVmGLE+akS0 yFJU0+hpe9w+wOHUPNRoTrgwVBcWprcfxVaD+Umch6yjaLEoNAky8edLDbayNABYOrVFGbpzYr4a jzZpYd931POBTCZ7nYVga67U4ihXZ5tZjss6Ko8slDM++dJYFJhhRuiL6S7VuipjVn1FCxbKtKq5 tAWLW5HUFZ3ujvvtM7azV80atZz2qCe8w+sXCZxUdnlFQST7VRkly4r23cumAMdhK5NhtNONUbVx 2wjOSMTmQQXnnhevKM89FUXvmueUp82KyOVwsyKpFvT3gs2gCz5BepYsI3StFDzNw02YnitEUvF4 GgarLmmtR2DNi04Z0kyXeGYXc7Xyo0yI7yJexQJAFWCXlXMC6+qmE5VjZJ605rLxBLN0aWEWnviX 4qok3d3KLFZ9PCvzwvDE1L2W9D3kNtI3RFXih/J2KAYgsZOVGkwrDfzE2RoIkNyyWjIQpRIr9wR9 04NK1Rs4KF42NWwqLb3FX/wAtcxKlebvF8GJPP+52L382D0C5/G1ovoiVj/o2Pxj3RXEt/0AnCFJ 5V9Mpm3R8ogw0BHY9/urmxHOCQKcwAInrnACTj1cpG4R5VxwOIQJpIAVQ9gZ3uB/Ynq8inUhaL7m EfTltmK/kB1UVkbploj1NpsTtxtBVbAkF1ez7vaciMv30fiaMT6mPJcc4VajC8LdswRDRsjH1dCC djIpUGtIwLjxDAn51mssHiPfgNjyUlwLKBfbCwrM2yEcau4cURUu0ouH58PDb+xUE+CmNxyNlGvP 7iRRjFUlD4B7Pmk3ZnBY28dHqRssJpf88Ok/5gB362NUh8dekeHPfbOUJ5RUYonruChXXGxBxMGQ qFh+xF1d4eBdLsTfhObLiPAwDW8MEcPbIZ1k+gl2a8vziekirZkHOea7UpzaDCWftCyslZLRx/P7 /ufHq3Qg6tIZnPoblg9uekSXRlzc0vx0OCTUeiC/qMBwfEm55AUCfzy86UVLnCWUVVil/csVqasB JBEcW7g5nqylz8aXA7oOAA/7zi9IElyVRsPXhCtvDeOKURXcI9SeZOu83gCui1T95gXsyDn36C/c BlEaEvqQAh6N0mhESCkbnG6+xK8JjSs1QKve1fAG965dEdzcXI/pFkiC0ZWTYDS+dH5hNCbMJWt8 fCb/mFCzBry4HriyB/G035tE9BTLgqIkwdSbDsUUopufFcNLF+wNi+GIxvPAczwsAQG/urlenaGJ hoSKoURv1yMxCehVAq8CKMgmq+Hl5Zlvr3OPcvIv4AKU2AeD4WpT5B4jbDuAMEwHY8csC9PRzYie BOIzYeQYRRZGhIZMkebXvcshvoQAHF7e0OtLEYwIo4SaYEwvcai5aJtjl5RFjK7PEIx77o1UEImd ZoBPk2IZXl0OHCMtCK4vr85MhWXY698M3DRhNBg6lktxF60cvckyfp/EzNnQZTS6cmypAh703Kca kAwvz5GMx7jepfOUN3jAYFaGZKCSzLUrwLMB5uxXafkct29P+4cTdtX0CRZGpG/8dOMFXWU4CE1g 6kVXjTSTFZ2XXvzNPh73hwvvkB4PYC5xOP7TiWnZlPCpDMra87h92Qlm5edPwb34bdnfdKIt6Rpe V6TFCXi8NJMsczZtVir6Ej+eRRGC5QsEB4p4xjepIvAfpPhkfIcRNAUPgwm4v2+JCrvNe9J8F3Iv FAWB3T7NrwqCvOfLSwuF80m0ma2KqyGxRARJ5a2VbK9WHCCrwLtWz9oaFhtJZRu6ffj9vP/19A6W G57ffYupvyBQCFya567nU/DpKJlkB6m2HXV/Wesdng7PUrP57XmrFeZQ7eMZc0iUlbmA1xY/Wsni b1hGcf5tdInjWbLMv/WHRp9DTIlJOZ1K82REj0yLpNytMLo4aXPd2rq3vbnUbFNSxn7zOpS3fig5 m52UB3fVsIj0hs8SiOCngqjE9GIATb1KbGexZ7HyuR4RkjrA/XXMgCmJeJzgOtVQK7WtbpLQt/3U yk/X+tRGolZdBZDG7LhwsjqBigRn11GKNKpsZEugC1ZZGZNP5VX/lqANlrW7V3Z8W8vSrIPyt96p GqmYCSgjDYxkP4jtlvuEhCWGO3zKcEZUVVjJ/XvXpJEKlJGWLUMb9R7nf5GnjHn21Glms+c+A68D 0pmZcjRxfWXiVaQHu2ZJ98SciwOlI7QViZYAGkI0sKIIsjU4CA7iGaGjKQipV75yztGAdNzXVvq1 IvLb7gHE75ABOVYgB7sCjUuqChvmZYRjK4mmlJcLiZbQqSQ8CcJbjh+uAHvzIMsI2Y+EufjlwJNy xvAtAeCIgYdeOrtY0z6/DYinOvkBeRuj4TXtbBVwMbqzJM44sdiBJIjyzRQ3NZRwGHiE8a6E71tO 2Cx0FkQTTrwwSnxK3BgBFAXLV3SaYE23asnCgtgwAF7wYJknVPg3WbV1RoeXAwIO2rA0SuhuAfad TQihFqDFksdz4jqouiUGt7mFo2qhJwWbNB7EyQKXe6tZO+MerSShSEK4pTnw9VRcjOixywI1NekS pOZpMsUFt5IiAa0px+yTfv/cUygmfN4BJo7pAH8TlEuXxSACDhPH9E6DgoXrmN7ZUrG7wJ2QxCEQ YQbzlF7i4uynnBQBnDPuakalTkrjaRD4ZOQ9SUFaRVRoEMIBS7AUkqaM05B4nZVzhXoigWUKGjYs d2yRMqbS92Tt/ETBHetBbCR5QPhHk/gcHlq7jj8sohIO2k2a47IJoFjxOKIrcR9kibMJoE3nudak spDczIlXNXmWhm0vJ/qBHTnim9da60ZSFyjfd9vcr/kEaGarr05GYq3pkgvGFOyriABvgDcRgpoL jEguw5S3X/AMuA4yMPf8VtbOvQvSpOZIc8Wp09OnP6f9g+gf6QAHuwTFSSq/uPICvkC7xFGO3aYZ 82fEe1axTolnYsiYAXfncMoXUUJscUUg9eHiYCnOE8KVowrIwSc8pHyfc/H/mE9aPhsqMCs80FKz jFZFkmS5cUETPBgt2pbuyu4oYoKFNfzuNhdt8EsFoV7QYWnlM9pWrnyep1S89JJQXJM+misWCGky wDyBV4XSUgqrkiO71Mq3wMPxcDr8fL+Y/3nbHb8sLn597E7v1pKsDYzdpM0Hxb66pjRm8oK1jV/1 TJHhLytthk1jq9cUK/jeKafuBUvtv7zTRk++JueHj+MDaiKG4sYMZjycJKgSShJFpbF7WJaMErxI t792ynN43u3Rc6TK+dPu5fC+ezseHrCtARynFWBMjzuTQDKrQt9eTr/Q8tIo1zMGL9HKqVg48fG/ c6VVk7xegFOXfy5OsOn/rJ2t1Tsee3k+/BLJ+cHDxgKDVT5RIJjwEdm6qJLcHQ/bx4fDC5UPxZXe 3yr9Oj3udiexo+4u7g5HfkcVco5U0u7/E62oAjqYBO8+ts+iamTdUdxYaIm3sS+oMvMKQrX8r1Nm lamyDll4JTr4WOb6lP/ULGg+JeOkLaYZFdZ+BWan1JGSEGw3JzbOdNlVOALHKNJ/UleLLburfPql 1kZaRf3eFF7ZdauiLyftUo3s4JSdVCWUiiYy+JI4akNE4S6dr8XO8EMpppmDpv0eAgEqb/aizS28 TIlzvE9SgcZOumKb/iiOQIGIcBtqUkF5aCfYVTVyA2fpUU7jCG/BGeseyOz18XjYP1recGI/S4gb oyY3DnuG2pktrDAN8ic8IjduKuZLcCjyAMYjmBIw4WRaWu9s2mI0fWvtFtnknKYzKmx2Qijkhjyi 5pg0FfKU50mUQDpqajMi+jJjG0+o5yEIh6GG2dpHFizkPgSbnuZIzJlmifdBYm2IgKukzQpcQlD7 wmAzxZsnsCsKywIuaiGKJvDvNLSiodk071PYpHB8LuahI+u038lZNxHuGlPrXqTTlMO1TcvZpC6S Q8TTpBXRLQIt/kLspm28qUoOrqDATRclzxIU4j7KUa39aV4/dTZLTyVh9ymFSNMNqw6sm6UG78qk wJcIKAZPc3JGKJgcAgh7Q2Bg6SWu7i1Yzf/tw5Nt4zTNkVAn+uapqBW59HDzFfyQwapCFhXPk/H1 9SVVq9KfdiD9Hbxsxdsk+dcpK77GReu7decXapHqKSPDNZkpizYJ/NbhC7zEDyDIyrerwQ2G8wT0 vsXR9+2v/ekwGg3HX3qmF2SDtCymuJJNXCDjqHctvHnqRD3tPh4PMqZPp9nNc1pzekHSLeFeRIKg b1QYBpUyUYaYiZKYq0iMdnHenId+FmD2gRBG3Xqzq84hza6Dw2qzPJkACp98JXhn/FFD0XR21+Zi NfU3XhaoAEzGqQB/6D5G+rFh6nLFHys3EVaFk4yJCxW9BJnvwKY0NndCIAcjt2xHbSY01M1VHypq k29GTadUL6yXnXQZr0u9l5t91eACk/stsR0qwryMIkbckeui6ENWkWhv4hC/rfIDTLbxXolarLTM Dk7pZSwyu0L9VodWy+6jglquQ5srzl3J8jkxGAvHcR1xCGtE7eqRY96kNHYXr66c6DWNZq6PpnlB qVmJ1bQgzwHHRM26J57eQyvFfXutalDmsn8v+q3fA8uaWaaQ+5CEiZAiAiL8RWfgdDxuVcRQ5oBf 3Xr4Zyrit2qir3bSVDEFCyzD3FBO1tZPkd/uCnD3YTr6ycs4S203GDLFEShcxnQgRtHjFJD4jN4w qYE3g86KH/q4tc5jA9YH+kYc6ObV3cJuBrjSs01ku6HESEbDS/IbI0JruEWEK3e3iD5R29E1rt7R IsJ1WFtEn6k4YRrQIiLWkE30mS64JmJF2UTj80TjwSdKGg9R5yZ2OX1y6MdXn6jI6IbuHHGVhqlN uHa3iun1Cb2eNlWPaBHLPc6NTcr4fK/dQg3QE0RT0LNDU5xvPT0vNAU9lJqCXjmagh6quhvON6aH bdEWwbDdl7cJH20If3waxrXyAQafQeJ0pnx+VBReANEBz5DERVBmuFyyJsoSVlB6vDXROuNheOZz MxacJckC4lFfU3DRLspVek0TlxwXIlndd65RRZndtt50DApg+cxxLWMOSw6THSSb5d03K7iNIZqq HAA8fBz373+wdzxSjyoPvBKEGxs/CnIppS0yTkjPNK0TRA9h6adX2j9DGBCQf8i48FLfj7X4xg4Z Lr8Av3nTNSi/ZoQesgyS6cliQE+8G2GootP8d9MVzLDyDvPo21/wgvZ4+O/rv3+2L9t/IZzQ2/71 39P2506Us3/8F9y//IK+/0sNxa0KHQ8K5btXO6SpepZUTvH3r/v3/fZ5/39aQ18PtmCmofoyQm5s 8apGAHcVvD0M2C0dchQnn6yzANdqc9CTsc9lbVVs9MSre5OQpmliiKxM0tpxZdu9pGG6kxvXB60V 0fBm4JdfC72945+398PFw+G4uzgcL552z29mXCtFDObQllKyldzvpgfM76bmtx5P56b7uhbQzQIB 2NDELmkWz5CKkCXfpilCDmxxN1n5H+zWu0rv2+ythNqTEs248XkO/oJUoCekFPCZQpcCKPZt+Qff 4HU7y2IexPhJUpFAlToS0PTjx/P+4cvv3Z+LBzlvfoFe/h9zs9WjQQTLrOC262YbDbxzeEYF49Rd UGaLoD8c9sadNrCP96fd6/v+QTphD15lQ8BiSro+ZqfT4WEvIX/7vkVa5nlEuAkFz9ywN2fiv/5l moTr3oCwsK1X0YznvT5+j9VLJ7hrqw21+2rOxL6z6PTDRGpGvBwebZG2rufEOTu8Kf6ep2FC9lTD BI+rq+wsPMxwvfQKTtxVS8+0bOWum7hLLDPikVMPGyihFaVzGoDkrTskcwhmRI4I7qlS74kR85Ct YHWmtYtWoZUn5l+70ztWhcwbELaJJoWze1dzSvu3opiE7DboO8dQkTjHSVSk6F36VFTNaq2eq8tn VqmmkVoFLsLIx/icGhwiwxdxsXqDEP66Ss4i/8w2ARSEjKOh6A9xlrChGPQx1l5vRXPWQ9ogks8U LCiGPeesERQ4G6nxyA0X4sI1SQhpXHXezbLe2FmJZdqqpVoh+7enlqJNvX07p4OAN4SSuaaIywl3 l5F5uCSgXijJktSq0yuFgedpQk+6pskL5yIAAucY++7OmMq/zo13zu6Z81KTszBnhGeS1ul7nubs aiYVv2s8SzvR69qz1jl4ReAck2KZtIe2Mhl9eTvuTidt9tweh2nICBMUfb7eE+GdFTy6cq6S8N7Z KAHPnXvZfY7ElMu2r4+Hl4v44+XH7qhUKxu77vaigUAtaUaYLuhuyCYzqUvrIvrOwVAuAKUtghE3 LvtgtLk5d57UhJrj+RTxmbbUdMB1daeD4u+e9z+OW8FPHg8f7/tX9IIR8slnTlYgU2vkLBV6Ce/S 1SdoJq0f+2hhnzmKm6rhF+zWlWmJnFbgEFD6eBa3UOc8bQjhgLu8crM7gphHsyLwzk4RWW4UJjPu bWarbjAqb3d8B61LwaKoMJGn/a/XrQx38fC0e/ito8Br7ZBPkEv60DFBQLcR1+ue8ALiZWe58Ras VRbBdzKEA7UZ2yTzOXaPjZNG19HjG55Ia+jIDBpr4yikk41e9QTHJhYy0eceEdcV8jkvkOJbRbnB XPnLO3CrDoO+OBDCaZuptglC7gWT9QjJqhBqY5UkLFvS+zpQTAiJrkCJlyaPvl14+NOAWIBOHsHD L6nKLaW7j0AJAYxCQqW/YqZWZ5rlLf9epGLTDGx6pNvNpgyV1J1ukG6FNovFkQ8pMuAvCFiNitQG Q4BLPQ94KZ5YzkFqGhXwXBBOk0y7IsBLSrMA4srO5TFk+G0QUJzEGlDR32WxNE3UWhmAw6lBmvLP QiXVNIq8M/SfZmFiGeDAb9cAxiGopHSXLCsSwd5cW4GaQUkbHJhT0nSdd+HnSbfEWVCAdkoy9Znh hyUHFeXEaEAuVkSrT0D+H8/QVjRhXtsbZfvzMCXFJh/6fNCtWwVmJBi6QC9KfVPcamJlDdpSeH0k yNS34/71/bf05vj4sjv9wp5LlM8I6eoCXa0VDgbsuIyzchcSQsSdRRDWSgc3JMVdyYPiW+31IAry HB5eOyVcNbVQQepVVfygZWylh3MdTRKxd0J0t5hFgfmERPZEfYneP+++vO9fqoPyJEkfVPoR6zfl QgP84SJVCWIp6I3A8a5Yq57hk0N6UdksWRZ/6132r+zZmIrZAmrqEaX5/P+VHUlu2zDw3lfk2EMQ oA/ogZZkS9EaLXFyMtzECII0Cxq76PM7C2lL1Azd3hLPaCSSw1nIWUxMhI1SlDtNsFIiCDis6i1u KIz+KsHuApQiq7wIYR5Tl0QYIYYBf6XxkgTdt3ooNJ5NXRX3c3Ig9SIYMF6uYI3fqJETUv55DSap WZbv492Pw9MTXoyM2oZOal1iLjvGWiktdO2nqhd6JKbzVTyRgfi/8MBRpA+LzlSgq6usxxk30y5R BBUe56dMka2qktXALMssOOovkyFh6Om43Qj/irGcTnTYq6cjsakpCPsyueux1oByy8UEEZHUhyxD kEy9rhQPiMBNnWElBq1dH72lXlwn2mmy5d3CSEtCa2gnhJppmHzOqA4SIk8XlQOKKxGrg80eW6yk innvB+jdKoXSeJEoOYquEcNDovdhJPuyqNfCfh6DBUq5ITZFrO/fvvhXkie+mNFNvcwpPk5G/Iv6 /ePz8qJ4f3g5fPA+TrdvT56bgQlYGJAqpzlM4JiGMiSnIFsGkt4fevj5tAL1ssdQvqGBrwQPTKt8 x8BNOlTYbbKTF2l9I9bwHeXRhMbKkQogyh4PP6kO2WmDTdhlXqEJf0aLU0nCF0j6a4MzkydJIxWC wy8dyY6vnx/Pb1S8+fLi9bDf/dnBH7v9w9XV1ahJL+WjEO0V2UzzPPumBR5zeSeyv4A0cFwBpkez fOiTO+UA0XKekB/sb56zRNZrRgKZUa8bo1RGsl+17hJFJzMCDU0XgLbKONm+8D5YmDO0cI7p5Mja pvK76a3A4T02d5+bsI6LjwMNGrr/wRVjowWkBrUCkV+NZgFMy2ao8AQVmJ2dv8Docxbyilx5Yc33 uN1vL1DlUedPwS4rMmUyrLo6A1faRjOQMpgyrQwj6alqE2OP3Khu20FIt5qID2VI/lujFuYPG4sW 81SlNhpk/Q0ANLqWOnMgxlkOIiR1kRGa3HRSCLTLNJ9832wj3lgbsRWswwkmZ8WBPYJutPypeDRQ Rfde0aexzlwOFRuvNKKRizqFrlrTpDKOq/C3JKhPgBvjlJR/CRY7HoF5KJhbhJuCMMHuqfrOw4js g0xllCkET0zFr/Mq3KccJ8IbpuLbJUkJ/An+NzheWqdzAINWXYYIsSILIKRrWJgQgvWYXJgUYyr5 fLb1EM+iUm6Znt90lWm6tJbspwVIIrDTQWtRvqQffOZ+NxVsd+Cp2D6gqJQjOixrEJFtw8BEuMb2 WR3YcifO2SyA3dPStLIyHK0wuc36Hs+HSgsCtfKOu6aDPXrN3p+8OJwKKOP40WyjA2n7W7/73KP6 QSsqev+9+7V9Gvc+d55VHtWTLCP8X1jjFjYPGEI0aNw2fjkV/J1UBZiNSvchQlGhC6f9SLcGBOgC 76QDcDxr7OqiLnHDaliU8w2G8CZMDAQ+iFEd7o7gFHtgPPA0uYuHUjZWeGb4CC1Ul9jhdZFyrUYI OWD0Sh48IdDhj3w8T3A+3gvCgYmVJgmEMQxKjWaC3pm2VWr8EFxysKYYLV4GUcfAwIRr90UEzWL5 3on5OFcatSHwttSNUx58R1V9Q0u0aELTX8BWSGsS4XKE2jIDhxhW4YzEImqubnaAoSg/NzCe2Smh z5AUMa0GizNTlnWAI8A/j0CpBXcHXaUpctURUREApm7PzmD167kp+PoMPqjgarKUAj2wLMyqk/w3 W90cj1q9ebVi2yftiXNRdP8FNCcaqbnQAAA= --===============3528538274734671801==--