From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1758307AbbJIL7s (ORCPT ); Fri, 9 Oct 2015 07:59:48 -0400 Received: from mga02.intel.com ([134.134.136.20]:33562 "EHLO mga02.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1754468AbbJIL7q (ORCPT ); Fri, 9 Oct 2015 07:59:46 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.17,657,1437462000"; d="gz'50?scan'50,208,50";a="577275014" Date: Fri, 9 Oct 2015 19:58:16 +0800 From: kbuild test robot To: Mike Snitzer Cc: kbuild-all@01.org, Mikulas Patocka , Jens Axboe , kent.overstreet@gmail.com, dm-devel@redhat.com, linux-kernel@vger.kernel.org, "Alasdair G. Kergon" Subject: Re: [PATCH v2] block: flush queued bios when the process blocks Message-ID: <201510091930.OnZI9jzP%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="zYM0uCDKw75PZbzx" Content-Disposition: inline In-Reply-To: <20151006201637.GA4158@redhat.com> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --zYM0uCDKw75PZbzx Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Mike, [auto build test ERROR on v4.3-rc4 -- if it's inappropriate base, please ignore] config: x86_64-lkp (attached as .config) reproduce: # save the attached .config to linux build tree make ARCH=x86_64 All errors (new ones prefixed by >>): In file included from include/linux/linkage.h:4:0, from include/linux/fs.h:4, from include/linux/highmem.h:4, from include/linux/bio.h:23, from drivers/md/bcache/bcache.h:181, from drivers/md/bcache/btree.c:23: drivers/md/bcache/btree.c: In function '__bch_btree_node_write': >> drivers/md/bcache/btree.c:454:16: error: 'struct task_struct' has no member named 'bio_list' BUG_ON(current->bio_list); ^ include/linux/compiler.h:166:42: note: in definition of macro 'unlikely' # define unlikely(x) __builtin_expect(!!(x), 0) ^ drivers/md/bcache/btree.c:454:2: note: in expansion of macro 'BUG_ON' BUG_ON(current->bio_list); ^ drivers/md/bcache/btree.c: In function 'bch_btree_leaf_dirty': drivers/md/bcache/btree.c:548:14: error: 'struct task_struct' has no member named 'bio_list' !current->bio_list) ^ In file included from include/linux/linkage.h:4:0, from include/linux/fs.h:4, from include/linux/highmem.h:4, from include/linux/bio.h:23, from drivers/md/bcache/bcache.h:181, from drivers/md/bcache/btree.c:23: drivers/md/bcache/btree.c: In function 'mca_alloc': drivers/md/bcache/btree.c:893:16: error: 'struct task_struct' has no member named 'bio_list' BUG_ON(current->bio_list); ^ include/linux/compiler.h:166:42: note: in definition of macro 'unlikely' # define unlikely(x) __builtin_expect(!!(x), 0) ^ drivers/md/bcache/btree.c:893:2: note: in expansion of macro 'BUG_ON' BUG_ON(current->bio_list); ^ drivers/md/bcache/btree.c: In function 'bch_btree_node_get': drivers/md/bcache/btree.c:980:14: error: 'struct task_struct' has no member named 'bio_list' if (current->bio_list) ^ drivers/md/bcache/btree.c: In function 'bch_btree_insert_node': drivers/md/bcache/btree.c:2131:13: error: 'struct task_struct' has no member named 'bio_list' if (current->bio_list) { ^ In file included from include/linux/linkage.h:4:0, from include/linux/fs.h:4, from include/linux/highmem.h:4, from include/linux/bio.h:23, from drivers/md/bcache/bcache.h:181, from drivers/md/bcache/btree.c:23: drivers/md/bcache/btree.c: In function 'bch_btree_insert': drivers/md/bcache/btree.c:2211:16: error: 'struct task_struct' has no member named 'bio_list' BUG_ON(current->bio_list); ^ include/linux/compiler.h:166:42: note: in definition of macro 'unlikely' # define unlikely(x) __builtin_expect(!!(x), 0) ^ drivers/md/bcache/btree.c:2211:2: note: in expansion of macro 'BUG_ON' BUG_ON(current->bio_list); ^ drivers/md/bcache/btree.c: In function 'bch_btree_insert_node': drivers/md/bcache/btree.c:2147:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ vim +454 drivers/md/bcache/btree.c ee811287 Kent Overstreet 2013-12-17 448 struct bset *i = btree_bset_last(b); cafe5635 Kent Overstreet 2013-03-23 449 2a285686 Kent Overstreet 2014-03-04 450 lockdep_assert_held(&b->write_lock); 2a285686 Kent Overstreet 2014-03-04 451 c37511b8 Kent Overstreet 2013-04-26 452 trace_bcache_btree_write(b); c37511b8 Kent Overstreet 2013-04-26 453 cafe5635 Kent Overstreet 2013-03-23 @454 BUG_ON(current->bio_list); 57943511 Kent Overstreet 2013-04-25 455 BUG_ON(b->written >= btree_blocks(b)); 57943511 Kent Overstreet 2013-04-25 456 BUG_ON(b->written && !i->keys); ee811287 Kent Overstreet 2013-12-17 457 BUG_ON(btree_bset_first(b)->seq != i->seq); :::::: The code at line 454 was first introduced by commit :::::: cafe563591446cf80bfbc2fe3bc72a2e36cf1060 bcache: A block layer cache :::::: TO: Kent Overstreet :::::: CC: Kent Overstreet --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --zYM0uCDKw75PZbzx Content-Type: application/octet-stream Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICK6qF1YAAy5jb25maWcAhBxNd9w27t5fMS/dw+4hje2k3vTt84GSqBl2JFEVqbHHFz3H nrR+deyuP7rJv18A1AdJQU4OSQSAFAkCIL40P/7w40q8PD98uXq+vb66u/u2+v1wf3i8ej7c rD7f3h3+s8r0qtJ2JTNlfwLi4vb+5eu7rx9Pu9MPqw8/vf/p6O3j9YfV9vB4f7hbpQ/3n29/ f4Hxtw/3P/z4Q6qrXK2BNFH27NvweEGjg+fpQVXGNm1qla66TKY6k82ErGWTd3InK2uA0Mqi a6tUN3Ki0K2tW9vluimFPXtzuPt8+uEtLPft6Yc3A41o0g3MnbvHszdXj9d/4JbeXdPyn/rt dTeHzw4yjix0us1k3Zm2rnXjbclYkW5tI1I5x23ETnaFsLJK91Yzg8uynR4qKbMuK0VXihqn tTLCmTWhC1mt7WbCrWUlG5V2ygjEzxFJu2aBXSNhcQrWWGvkaWPmZJtzqdYbb8nEwlLs3ebq tMuzdMI250aW3UW6WYss60Sx1o2ym3I+byoKlTSwRziOQuyj+TfCdGnd0gIvOJxIN8BZVQHT 1aWMOG6kbWuUGJpDNFJEjBxQskzgKVeNsV26aavtAl0t1pIncytSiWwqQYJba2NUUsiIxLSm llW2hD4Xle02LbylLuGcN6JhKYh5oiBKWyQTyaUGTsDZvz/xhrWguDR4thaSQtPp2qoS2JeB RgEvVbVeoswkiguyQRSgCbFCd6asY544uenSvBBrc/bm7Wc0Mm+frv4+3Lx9vLldhYCnGHDz NQJcx4CP0fMv0fPxUQw4fsPvrq0bnUhP+HN10UnRFHt47krpiW+9tgKOD3RwJwtz9mGAjzYF hNKA9Xl3d/vp3ZeHm5e7w9O7f7SVKCUKsxRGvvspMi2q+a07140nVUmrigzORnbywr3POLMB hvXH1Zrs9N3q6fD88tdkauEAbSerHWwOV1GC3X1/MiDTBgSvS3VZKxC+N29gmgHjYJ2Vxq5u n1b3D884s2f3RLED0wDCjeMYMEia1ZEKbkEhwEavL1XNYxLAnPCo4tI3Yj7m4nJpxML7i0vv sgnXNDLAX5DPgJgAl/Ua/uLy9dH6dfQHhvkgVaItwDJoY1GEzt788/7h/vCv8RjMufD4a/Zm p+p0BsB/U1t4UqwNSHj5WytbyUNnQ5wAgS7oZt8JC5fexmdivhFVVkhmD62RYOl9WjJMDCUd HGkmUeAKwNoMUg9asnp6+fT07en58GWS+vHyAyUiNWbuRUCZjT6fY9Akg9VDCs8NAfJMl0JV HAyMPZhgWOR+Pl1pVDhVhJimHXnhTUw2lmELkoBTk4KZthu4y7LATptaNEaGr03RWTG6hTFw b9h0k+nYsvskmbCCH7yDSzrDO7oQePXt04JhL9mp3XRa8UWP8znH7VVklzRaZCm86HWyElgl sl9blq7UaM0z5zqR2NjbL4fHJ05yrEq3HdybIBreVJXuNpdoFEsdHBQAwRtQOlMpc0ZulMqI P+MYB83bolga4lktuC3hhjDETnLEaPngfbyzV09/rp5hH6ur+5vV0/PV89Pq6vr64eX++fb+ 92hD5PGkqW4r6+RkXM1ONTZCI+NYq4QyR+c60TJbSEyGOpdKsAxA6HExxnS79xPSCrNF99aE IOcIRhMR4oKBKR1uk7jVpO3KMCfdSLh909bnBjzC5QpHylkiExHTinEIQ4sTwW6KghGa4cUd xQcsp4d1gMGTXaI1txxyB7pEVSeebVfbPoiZQYjzE7jQOEMOJlDl9uzkyIejOJTiwsMfjy4D meMWYjLngIDDnTlFXHISqxaCk0QUokrnriT5rwkaI5imrTDEAQ+2y4vWLPqnEJMcn3z0dDN+ waRpAWa8N2WFa88YlqbrRre18edwoEUz3KNzONJLCkzjgbXKzPK4TO5U6llP4DyEKZ4K4KHh HD2GeQEgUBGYd1B8Qsrgh8xwWafr6DHyGCbYwKsYtw3c334ls/hjYAEE6TMgSY7nWwvVdCFm 2mgO1wA4EucqsxteXaw/ltOVYtu/2J/YxS8TbvmcziFelYnwpRzelG4pQkYDbYOkA3plcAWn fvTQoi54z+iB+c9wvE0AwFP3nytp3fO4fqd96GfPlj/R7E2OkVrdyBQuQI45TRhqIz9ALily aLwjomdRwmzOD/D8/iaLfHoARK48QEIPHgC+4054HT17bnqajoEp+j1RgB/7paKCAERVOvNP wJkulR2fxgPB1qaypkidbHI0pk5NvW26uhAW80geq2pPsN294R1o+KYSTI/CQ/ZeDvpS4rU1 c5PcqU1g/zhxvT2GOcwtgM2+DORkgHX8kLoBIQ7iTM8+yCLvwozaMjcgjCW/xlPr1kovUyNr HexSrStR5J6MkZvjA8i9ywNzAEx/Zf9mE5gmoTyZEtlOGTkMDliEB0O3Q85pSJ2q7rdWNVtP muA1iWgaFVp9yh1lrJo5UZoSloN70qdK68Pj54fHL1f314eV/PtwD+6cAMcuRYcOfNXJbwmn iIwZIWEz3a6knAyzjl3pRg9Xg7cnU7SJmyiwv7qsBVzTzZa3MIVIuIOAuQLJLfQSWZ9Na6wS sbBbWVIk0u3Azc5VSuk0VoZ1rorAwSBNJgPt7XArL2Q6CPT4Iu2Gc4EqndqAn+YZIF1VKie1 3jvGxNH4gl/bsoZwKZGcyIJdi1NN/RQQiHR5ZJHa+ey0Rsqpg4aDTuGlkKKXvbQfmQMrFcpA W4UjIqcLJQn9THCnwXsPnIRtI2fLpjsM4G1TQSRj4cB8vtCrFbAe3TwYGqfEt/F0Dsq8pz8U Hv4K76ZcAiE2Wm8jJGbShbVNPCnC4dmqdatbJmQ1cL4Y6PXBOOPmwiW8B78AQ2My+VTUiN7S yDUY6Spz5YP+SDpRK26VtRpV1cdtzkFTpXCuSYQr1QWc9IQ29Mb4hvz+IfplF1AADstMPNim pt9e1pZxGpC4NSlLxEYiQYUzIgfPtqyxohDP0Iuz4y/5wBFFP84lKxdwmW4X0vG9MUTvzeVY hiwoQ6shPpvoua0amSJBB6YkcNKX4G6RqWMgqpBMwfMMjHWM5JzamAbOuZKvzoLn2RaiYW+A OTVwX7PJAbcBUCR5YUkJt4HNJvRCSiI2JPNkxIKiV5gNk30phREIJ1tYZoFLk5VIo3PbZbAs z00uddYWYGbQRKKThF40s0R5AVYZnVFMN1oxi5OxbkXDQe11Oa9apbre90YFQmNPpVC4wIHq S0heIqWXuB4vqHI6+BrrVO/efrp6Otys/nRux1+PD59v71zGaDxQJOtz0MwZjusmsuEijBxV WvxgHZ313Eg8BdYHEImqct/7t+Avg4z4xp3cS4NuzdlRdAj+ix3I5UZBxwXnivU0bYX4xcEO zQ/vtd7E8oBJorEAEnJkIFBrVol6NJ5ew1/dg8RR/qiAu6v1s/xYSS5FulGVJ0JJmJkZQrvE rFmgS8lHcKwBryH+ZUJEkEttbRGlXSigLjOqw5KNDKwGyVl99fh8iz0BK/vtr4Pv3KIXSIEY OOuiSsNMgADHrZpoWD4KdcFTDHpj8gnvKWMJuhIgphmtaNSrcwLfuTlLk2nDITARmimzjS65 EkLsi860CTPEaLC+ylBplUG3MPIcrFww7biDIitfXb9ZK37rEBA13+GnaStuQVvRlIJDyHzh XViWOv34ndP15GpxRST0vRkcDJ/SK3P9xwErr34spbTLoVRae7o0QDMwukWgTwMmzf3CSv5b n37q0WFY5pKOw1yv1PPcpLORuLZXRg3vfHP9+b9jQgZMiCxrO/pvflpJhJUdKvKDWarBxUeL B6wLC18OTxeQw7+GY8dS9mxpsI8MR4dpX2E1Os9N6VXs6I5wSweLoc8r31dyTScLSHrbAm6M fKjmmREZlb8mkmVMPLg554fO4FMK2VnIx4frw9PTw+PqGSwk1Xg+H66eXx59azk0eHhmwnep 0VbkUoAnL11K0hcvRF6cQBTB5QgQWdZkvMPpwG0DbwObYKb0TzDlDlbAai4i1+CU5MrwSVwk cD1cRR3efwGJKKeX9/lzvliFhr5M1MLuRrnqi9e5UEUbZgWcqoPUWTgcbNXo+6E4t3YPwc1O GXB91630i5DAQ4EOrT/xAJtXFeYko4jxDJGcAdzuynEZUxJwV/Y5opyfa3zl90t8I2lU+ak0 FatcBm7ybLYfeY+nNimPwPwM33VRohlgVjTWeus2FFg6MUwE991hrp516pMUx8s4a6K2pj5C jNoVsca8CyF4mZdtSYFMDt5FsT87/eAT0GGktihNEMD1BVIMomQh2cIOTmnwukFt8e6hHgwa Mgem4HqL1g8la2njzBXBZNlicyL44N7WMz/KX8PlC/rl2hSnq1kUgNg7BOconCsdlIeIsNvI og5zqKW4iIzIIF7Ud2fOfp7KkU5HTem3XhKoTEOmDvchewMP6J0uQOZhE8zYV4aRpoSnT8kF zNFE4oMF6hmwkeA9WFfXSBq9lRWpEd6GJhKqVM4AoxgEZhIRIAhLtj11mSqzAYvMzfgrSN7Z l0ATIHyD4KvbzVIOu/Lj6cJ7jk9njb7S1Lm6iPVn6BTppS/wGNXH7bQU8AFAQUCfGVCsEBMi UIkJjDEyGYhczBhrmkjD61bFeb16swfHJMuazsY9za6nGPN0LJoMgGqAl906wZyEX+hr/Rsd 77sQ0ndXirRWEYYKXtj8Az4Nnlc3VMDCkrhk9bMfHNpA54ORIwBWvS8Hxy7aiO590hhPdmy4 aCGKnSX2elTUqeVYjAXwLV4IHeaMPKkoCrkGeewvZexKauXZ0debw9XNkfdnNAuvrWLaQimq VnAYj8vYBEzlvBoLAEyRcdyPNNK3DB4jLyCKLyWH2sFf5Vh65yiostO51dad1WuJh/3KXPPl RYmBAExb6oJhTpoVqGiTMcP7/SoMUuOwDi5GahXBSZcSgr3T0GESiAhnU2+0rYt2vQTvt8yh gc1655cvQdmo+3j0ZX3GFeDs1dYFkHjVfAg44I5kIENH1LKMSPCEgoDfAVxQmobmjYOVat1E VtBfwJDI5OhesUlDuNDh/s+Ox8XB9eWbP+cEgivnFzrwqp5XA7bG04shIiXpdQ15WXN2+vPP 7yNzsuh6h1ycwTfnoOyGKvvh/bSQ5PU6ruZ40KJzsefybCx16YrHgcNTSFGR58i6qnmjK4s1 s4VEBt82jGowpZtZksta64LHJG3GI8xiOXjwnKmzfSjPLQXhcMSyacLyCjWGRIkLnoiP07Bq RiRDOWAx9KuROWj10/2Cv0FNOV0CsR/WeJu2DnUDSdDWYPxSDmI2EbrhsW9mILLDfOu557+X tvFbquCpMwJ2qC7lInxQ3uGSPFogI9HDegv6uwPxsb8ml9fyD6g1cHXXmAYkeYz9FFdcCDdm 3DEz4TdEOAx7Ze5FAJjEMzYs8COMCoyc7+/qWT755rI7PjriboTL7uTno4j0fUgazcJPcwbT hEHBpsFuWM98YTdAECRTe8BCK0DaCLOJqpZuwK8BDC2wQvffQCgB5/z1OPREGonRge1v96mJ bagAUaWDCzeGeanGOZ93uAtdDDyl40eB9wh4brr8wBKZf19BrJQZHVjDPjObRMZpdAMyle+7 IrPzbif3QZzagaW1s++Seq1Z8gN4mvjSx4QcRJkYDJMHTB4OufMu2fbwv8Pj6svV/dXvhy+H +2dKt6F/vXr4C6sUXspt9mnXRorgk8S+IDcDcD2iA8psVQ1sqTj7PLwLExhFgT2Ivrc5LcST P7hBbOYl2adGPUQVUtYhMULCzCFAsa1woJ1i4bI7F1s5S0iN6GCKqD0BJ+2LOvMmI0Dit0YD S9jJ+5XOxma0LPdFA5/aKl3DB+Y0WILz3yCOOEcbPXbG9JaXq3+mfkMGhWHuUupIp82sNudi HPrwzdWUcUjtfyBJkL7dyS2EvvQ0829DHWV8Lm5GCJVy48YvLBtsz64DzWgalUn/s8NwJjBp xOScO2SiEPHiE2EhCtvH0NbawIlFYC5iSBb2jyOI0maNhHMJmpKGfboMWf9pBYucvEOCq7pU ESi0l/wbxHoNN7Gws/n6dEgE7cPxkJtpa6wGbTAZ7wG59VG3rZOg8YSWyZf60d3yUxQRHaUb UAnCdJ9bHXipQlWhYQr448zq0ssGKqX7xFY4iUkWZWgTF3cnXpUQ0WrelXVytW5e4SX4ni0a mQ1Eq1QU1VXBu9Lu0PJXPjwjYa9l3OM0wsP+J4Z8olxvZCzKBIfjkmJ2LoRaioQmCgmx0IyL DoMfJi9XGJyiX0AAu2QzFbZcg/Qv1WJNHhRXhi+TVvnj4b8vh/vrb6un66u74GOkQau96HfQ 87XeTd/KxEi0hgtg2CLIb9jNOxIMISlOju1n+CsA1ULBiB+ExtTAiS+k4WcDsL+NWv+/ux5d ZRBqVbyUsyMAh8EIfZz/2nqi3S4we9zaAt7fCYcf1r94ltNiz6bv1lafY+lY3Tze/h1U5adQ pI5+8IDsWEplHhKjIEM93BuvY+DfJJoQGVHp8277EYbNio1O0mRlwJnaKbsUeoLbIjO4wF2p pVGVjierP7h6WRlaNuLM0x9Xj4cbz90MRk5zFyphdU7d3B1CNQvvxgFCR1OILHBZA2QpqyB8 IOcFU55mokt1W/NfULlj699NqysPXx4ev63+Ihf76epvOPFgf+rfENvRiNnGkpengSOrf4KV XB2er3/6l9cslHp2Fi89l1EPYWXpHiJK+ro2MBoITqvk5KiQrtmf/xBAoj8WpMaGGxAnQILg Tb1l998iwb9qeD+0H9AnuBYWIExdxlMibNEp8AiG/Px8MGvpGDLeivq7q8uQBZhIXMhI0gEZ NQMsfBdNJ7e8SWxEodR4Hw+Gv0BAXhHmLEbTsLFhwwlSBB+gIkD5hV064iZaby2MXxlC0NCB 5aJLkNw/Hp6eV9cP98+PD3d3oAgzm9f/TEvY7E21n8SfGhPw/nOZKhE/U9djlypvIzjMyWy/ orfXV483q0+Ptze/+w0le6wST8PosdMnMaRRqd7EQKtiiKxkZ1u/f6qn1AYC18BRrrPTf5/8 wicIP54c/XLCnjiVIyqNX6Nav6jqaSSvpn0IN6WRIlynkpJdjE+Y4sF+j8hsal7VGzjpTPE/ /0A2f2/yua2XXw/XL89Xn+4O9HNMK/pk6Plp9W4lv7zcXUXJCuyqLS32F3ui0H/N46O8T32w hRD778ePZYu8T3Fwfnw/i0kbVQdmxTnJumU/XHaDSuX3VuCbw9SaEu9P2HIwwnHqOHt58Z6T krEPMNw/1tpbrKJiLq0Mq3T972PEI7dyb2ZA18mxI93VtW87ypR61iZIJcd2xOrw/L+Hxz/R +5llmMDl2sqggwif4W4T68l0Yb+nl97CvtGQ4CL3P83DJ/rdpQjUf484sRGBpk3gNihUysdM ROMKT/xd4SZBlTSglXyzEX7MCvxkPQh/86p2ldbwFyAAOmaSqHUi2ITC7yaSDnwwScvgBHeY Fyu4LmsTzO76MRyF8H9Va8RBhJ5ov+IImLqq4+cu26RzIKVkZ9BGNEFSB3mkasXXjxxyjeoK OsIl7B0FGuDKL3XjzmkLEctKf88jV3jW1ao0Zbc7DrfggCe+ImHFU29V0N0Ay2ozb13BlnLd Lm4XcNOGeLFC4ekE319IOGl4dirHLdTuZTwJtnv9guAyu5pGYs9BX1zUC+mLmPjVd010iQx/ GoDQRcNfLoREY8GVPtMaA7e1330fo5IwyzPC0zZR/FU3kpxLY8/1QmJnpNrA/75DYb5Psk8K vsI6kuzkWvBiNJJgoQL14HWq4jtr2cmKP4qRYi8XhHakUEUBIaX6znqz9LuMSTPu4IfrPjrc AdxEO4jQw+Rnbz7dXr8JX1pmP0efvIwmY3ca2qDdaW/NsXMm54UXidwPAeDl0mWCFyYU8v9T dm1Njtu4+q+4ztNu1aZiyTf5IQ80Jdsc69aifJsXVaenc6YrnZ7UdM9m998fgpQskgLknFRN ZkxAFG8CQRD4sByTBMtRUbAclQXQhkyUS5oqiLVn6ibkiMc1+vEvMZFiiWOfxd8EPDomQGy6 npYWf2EQgu12/VRjLteaJF0/ga6sWVaoKQHIOTgd6eu6+lomg6fHBhHoan8cmUJ6q/MYdffx LRYg+uB6O2PVwd3kylp9FCmTUmyv3janHyr3V22QVypKVlJuD4rZxIDiG3HMtXahdUr494Rz Eb8PYFftfR7YGmALaWwxi2vmqQk94e7j9bbijQkp6xvYoh3sH59+94IOu8dok7XeuBSL9hPE Xyx5PdChoGzwSG/FVtQm3uyaYvOJ52h4oubognS0PtPsIeRLiTb7XSSf3LNg5N3IE4Sfsua/ 14K/9eYKRSWqnTBl+NVkiVIVQGFzbII1fjpOwxoXmZtKxDvS/U/Pq7TsDqeU5U00DQMnIKov bXanCn+RxZNRPHHC1RvxDqQcjzsQrk+MNRIsxWExLuECfwUrNyih3BdUs5ZpcS4ZIXSTJIEO L+bkNzNAReqHgmOYHHEOwACyAChPewI2at6ZjsxEKyvKJD/Js6g5vu2eJOD11eSBUCk4B+08 OMrga643hqwkDgV7iYet66HRzVUHeGQYKvs4X201Zp29iV5QpDAt+ivCsGPxmK0B2/iAWgH6 mrw2LmDO5sE5WgASzif07lIfl9SiaRFfXavD5OP5/cMTvrrVh5pC/tNHG0TwuqK5ghDkIhce 6oBlFMoqRtm8OLW+qxjXpTbEDfBWDV5VYq40YBWojs5Z/ywAf1e6E7ndwQeFC061nw2IZiC7 p96en7+8Tz6+TX59njy/ganuC5jpJkoea4be0tOVgJUCAur3GnVPI1tN+zeehSrFhfj2IHAU STUb69JVR9alduwVhb89rse2XM4ErojzpNz7t1F9tVv8IJieSaXW+IGbBX1TGJ7//fL0PIlv tvIe6PjlqS2eFL797GjQjW5xRVhxo606//Pz+68vbz9//fbx5+uPHnlZSYM6K7ceupIpU+v7 iCsJNctjlha2tVudYvQ7t6LKtB+Chmzs6duzNtXbrbyxirwFYOhpEDPAbhyWV9etHoOuMoyo QhmabetPhvQGrlHO2q5p2WWtwQA3wbgSpwT/0FuG5FQRarW8SitmEmWxIvraME9MY7G54Lqn CyHpm5Ixg5weA5zlFsEigFvGL3qlWYtI/ZV3gU632YSbpQHuVlbjW2uxxcbV8wQzKDLt2a3X BEwRduVhWxi1eVGPtDpEyDaGqAse/vj29O3Vtirnpeu31mI4OPtJC+uQH9MUfuBit2Xa4t3u yHATKGWshkeUs/CCCzCNFFE+wF2VbCgx31YYM75e4m6rHcsxS3C9tGPgalEbHxPsWqJlSh0s ALtUBzWYYL8Iqby6lnWRetH6w35Um/GRy+/RTxm+B3cM8jBegbxEI92vWDbsPXgPm44HS4ym 96xgOYvm1g6h9IEMlAoenwhXLrhcPIHXpYvr2emLeruC92CLdD/eyXujXEl3TRpfhZf3J0sW 9OIqyZWYkoDiP0tP05DoTrwIF5cmLgtcM1FiNLvCjTOu52yyhkl8/ZZ7lntxz33bdnBHzXHt vxbbTItw/JVcrmehnE9xVSfJeVpIAA8ARx5fAPdaXdmIFNfpWBnLtVJxGGWul2m4nk5nI8QQ /+S7GakV02IxzrPZB6voPstqnEX3ZT3FBdk+48vZAj86xjJYRjjp1KoFJjoMX69ZOY0WjQhx jeooN+0ZptlKtp5T/VQfKa7Ghf5OY66ZE7XbZZP3H3/++e37h/0pGIr6dEN8xbX0YZSOz6GU 2mW0ws/ILct6xi+4kZVvVsF0sLANtPvzfx7fJ+Lt/eP7jz80jGbrW/Xx/fHtHbozeX15e558 Ud/6y5/wT+pL9wdd87HXj+fvj5NtuWOT316+//GXqnvy5dtfb6/fHr9MTG4Pu0IGxjsG6mFJ GXt1zE2CuxLcqA0h9HuG+oJztIvslPGhu6Z4+3h+nWSCay3IaNSOTc7UrhMDycHTkqvDAf4g kNBn+jfuwSXm9qRH5OCe4hL124ZvUhrg+QHvecL3xFnzkg6CbBxim3+DlfisAEuSYHuWwX2L XUt1PFylkkvR7jTWV3YbPCnA7m5ZH5iIfVxK4HJ/eVAwUNJaTVwjIdR+8yxFzYzS+MA325tK qRvcttRA0vxDfUG//2vy8fjn878mPP5JfbGWb95N2XChvPeVKcV3yI5cSILhVisKa9hVvkNf ybH50l3l2oPIwYnV5Wmx27lpNaBUcrCBQbSOMzZ1J17evYmU4JA9nLpmy9Fiof+PUSSTZLk6 iau/BtNsHmFUx4EMWWTa4B/v2ao0r6OeVkdEnfDIWeuaQl1CGqrGttAI14RRHKbkstvMDP84 0/we0ya/hCM8myQcIbbLbXZuLuo//RnSb9qXEj/CaKqqY30hzkEdg2TkYDPX88+UMQ4t8ksF X6kXWV6EpgAi9KROXtZmHZj7DBDrWrcJNzL5S7Cwggs7HnPgHOBAOFTANLctWH392iZS11eD OU72VfGv/R6s7/Vg/Td6sB7twXq0B+v/Xw/Wc90DuwooGrG1GcF8koRTQks+ZiOLPS5rpbXg m55pGPh1yOvIG1jFM8JgrumJal+Iid9MqXx6n8qTswPXeiNkGVbIRLopLgjF6JAIwUg6Z1jK OoTSP7BSY1XdqQNqGPnD2XK0kp6aTsU2Q6uf3a1+RlTvMh63cs/RwGkjWNQ5uPS6rJQrVa3r rmH2lZTJvUZFGVMHyxMp9dReQthvzb6QixFqnF1mwToYEZOJtyF5rT9quDrj+00NyC62ffK6 bVPYARemsBxZ6BBxR9xFdHQWEGHnZiDqZEScy2u2mPFIffH42a9tIPYladKDnt1GLaqp19WH lCnlYTDvUHxnL0zLsYmN+Wy9+M+IZIAOrVf4uU9znONVsB4Zkzuyr8z4+A5bZtGUMFaYb2IL I0ON6PD6w2gR+ySVolAPFpSHgKXstD72I33ELz81rZCxWXYMB+Y2wJyOfcx4t+cxQ31k2swI 4InaJFVlm6uB5Lu5Syj8XBYxKmqAWGY3fxJ+i1Z4n/z18vFV8b/9JLfbydvjhzqETV4gL8Vv j09W3JGugu358KVQeINtxAcI2NTg8GAZEkvIdAl8/qE6mkeK1LVOWEOiOnBT21VfnvxOPv14 //j2xyQGeBarg70pLlZqe0yAt+i3P0jq/tM07kI1bZOZ85tpHEhJtIWazQIkgFkT4jIY8gy/ pde0fIQGphdBnI274R0jEiJXE09nmnhMR6b0RH1yhlgnUg4P2eXdMeynVa8togWGmOGCyRCr mjD7G3KtJmiUXkbLFb7qNYNSfJfzMfp1ABruMqizPr4mNVUpGLMlbmm70ceaB/RLiBswewbc zKvpoo7C4B59pAGfNKbfSAMyVinhja9bzZAnNR9nEPknNsP3csMgo9U8wA2amqFIY/hQRxiU nkeJFs2ghE84DcdmAsSTeg/NAA4YlP5vGGIiNFF/wIRrjyECUFIFvo0j1SvhsSSM1OWY/NDE NnBshKES25TQysoxOaKJZ5FvinwYnFuK4qdvb6//9WXJQIDoz3TaUHFhZiWOrwGzikYGCBbJ yPzT2omhj23BZv4/+4BKjtfFb4+vr78+Pv0++Xny+vy/j0//tUIZPaHGCespENt7e7oZJMyX jeTZ2WcyN4mDyYkXJzUeQ6vogFTEbKSuWNt2poOSYFgyZJovlk4ZEjcEceRgbbWTKGioLudq 08AQ01pyy9Bey0nSA/d215x12ZuGYxY7McSKEzcJ2xzU6/RrtnamNShRKnVZAVyfU1xCcgx1 cgKEHU/d7d7QAvibJEGA24OfzBW7vnJ3qpc5K9vUvXa99V7koNicBGTmoOtrZ8QrUUODFEq0 VIMCut43ipZUmA0WBl20WrvNDTlYb+gL1GT4J6We8jmp3Kmw16Mz4125OjtSr+l50ETwes5M +kj7KeNshfNvU3ZI/AcgvRsBdwizSjuVtsOlswgQwTGs2oG/pXdZ2FK3Rzd7k/kNRvtB2ZYP 2WxLVFvWmYPmU49gMlTe2tWWIrYhcxeWJMkkmK3nk39sX74/n9Wff2IXsltRJeDFiPa9I6pj pMRHN4PPC/bV1p8LM0Ar3aj1wLIEmrAGKG/H1xFmhc6ijk8aeEKglOThqLTwz4RfmXZrxTcN 7aGaELfcqpPgGI7SREmSTheKAtsXisECaqQ6sRephU/dl3Up4JyRc118tSNuofNG53Wl/mF7 B9ZHN5H0MW9OeuyrQsqGCFM7jXrX5G7gT55mVF6dyveaN6sQHET7q/UBrsFJ3y85Mb2mqHJu 1nSZ4+yvmUzHErWSWI6oBMZL9OX94/vLrz8+nr9MpDrdPX2dsO9PX18+np8gXQamn7QBB+qI HEXJkrqVGXAZ5OeyxNCzNQSz080sHvraKqkYF1Uz42gSA4uDxaysXWzKtkijSm4FKszsCnaJ +z0mdTALqDjh7qG0Tly4tiT3Mb2gxCTFqMUOsHjx1WLcHmoUyNJ+o63OqR9REAQwlpaXIyy7 Wej4RxqYizzj3veJ1F+5H9utHKarsOG46jR0fgXur8T96Q5KSo0rZ3GSu1hQShZhMRdW2zZV wWJeOPrZZo6bXTc8A1mEwizkF2fUuGe374QIzKIT5QUP3lkoqonQNfcpTMWxnuHsJI5Op+r9 MQenZFhRJe5mbrOc7rNsdvinnIqHo4+2gbTQWIJd7wFjHK5xq/ONjNsubmR88nryCXMWtlsm JHfalVCXMPzSQKJvfNvFF4r1njjxPpf6mArP9zsMpnNseQxYdUGTnXEJ0VIz4grGkHPPA+fW iPll0Te0Pbc30dw6m8XZOphan7SqbxEuL4gcuYjqrjyOWy+arvI0dH1q1BIkIJGsSgDMJHFa sEnCu3OSfOZ7UaJSLLkwF082JEbzdEGj76yqtsdPopZHZHi22elTEN0RCHsX27nEoZ2tB7xU HYl6wP3l/7ShNnYb50ezP2du0gFViH5S4uI8qn4l3k+kLigmZI+YTwm3PEUgntlmwRSLubAH JwoXrveAKH2rzI30Kbszta3t09mEThkuDeXBRc6H32PXdkCGDcgz293I19Ct7UpHHdstVs1l eeGMQJZe5g0RnqZppJuzoi5GqfJMnQ7tNgleub5OBxlFi0BVgB+eD/JzFM0vvjUQqflaORdm 8DuY7ogTXcLS/M7HmDOld2VOnW0RrufKaBaFd77XaLaeIsKBXSj5FR5a+C3/kdI/RyAdOKnN 2nJl1PlYY0cttLiLg/MagI6lz4gtmlKS7/BkjFa9DwP/ioeUzajTwkPqK1gWiZhM9bJLkje4 Yma3RB2KIW4F7T6A3tWJtTlFwWxtgw7B77ooBgVN6eo6XTFAtjX1Gax0+DG8Y4wCArINGHRy pap1yUK6V0XBck10KE8cw4pNi50JqZbT+Z2FW0HQcYVWJlmmNm7HW1TqPQA/MdtPJjaGrU0Q KXOzmvJ1OJ0Fd6qzsfrUj/XU+dZUSbAmHFFQdwe76kxy5COUGV8HfI1fZyWl4KTni6pvHRB3 cZo4vydKZK1v65we1hnAFdwfd9cAsmdlec3U+sdbo+aWCAjjEHudE+JQoNmxrEZc86KUV3yB 1sn+WDvyyJSMV+k9AdiCalNiFPDQ3WPvyZae6kdTtXmhe42wKxyo4BbDCZD+nczP1jvO4rNn PDIlzXlBLZ4bw+yeemh0ckJZDwm3rm0cE4CMoiTuojQGwIZIIVLurxZ8SSbERJV0XvuIWYkp OZ3XsMXtCbjxOprOLjQZMkoRtFaJI+mxOl1ziLcj6A+w/ZPU9FKTNC7UUZ/uU+t8QdLBDqRG WXBJsoDY8IndAam1hQDZvSrLtEsxVaWiR6sRuuBleqRb1O6pJN2k3GD0dKi9M5gSLh8pOEHW wTQIBr3up1trm/Rsl0plW65GHy/g2EhybCFTD/18DIGXot4wwoKvGQoO5sKRCngG0JRKsqM8 ZYmPj0xdzMO2GELdDMyEvqewTvaKwJmdrRRKDuzsKIxQVgLi29F7tKrTKHATDvXF+AYJdCWD V9EF08SBqv44xuCu8ewSRcHqQhHWTbCK2JDKY+7l+LMoTWJnJ7QJOc/8bgFpf1RjIzoOsodd LdlGYNaR23xk6+U0wN4jq/WK2AkslgiVvTcGJRtWiwsyYlrZQCm7dBlOkVHM4auz3Wk7AsiC zbA443IVzRD+CmDJmvbKAhkxedxIf/ZZKppssZyFXnEerkLvFZskPdhX9pqvylKRH73eJqUs 8jCKIm/t8zBYI+3+zI7VUWJTxS9ROAumvgY24DuwNCP8SzqWB7XPnM+ohtKxiLxeBJfAbaAo 94MPVoqkqph/SQWUU7q8s7T4Xmne2NI6eyp6q1lU7EqA1YIbQ0bgK8EiIBCLzqlBz1IbCUWv hyGZiYaMmZxfAPXlH0Og4H8CtMz78/Pk42vHhagiZ+pKM4MDO26tbk2ADQWFJ+N80Frx9ueP DzKQUeTl0UElVD+b7RbSmvigO4YGN58eGJPHYRJ9HiiUKMOUsboSF59JN/j4/vz9FdJ73bx7 3732AsSLTDxoDJfSlJKhmLsem1SbuDrfX34JpuF8nOf6y2oZ+e/7VFxxaCpDTk5oK5OTZ2Cz ZmoAqeM8eUium8LEmfVmrLasYXG5WER4KnePaY00uWepDxv8DQ9KPBNR+BZPGBAwIDee9HAg 0B9uLDVny3mAu7zaTNE8uNPjNItmM/yDuvGoj3Q1W+C2kp6JkD49Q1kFIX4PdePJk3NNqGQ3 HsBpA3vnndfJujizM8MVxJ7rmN8d7EvtsQy/BOvavNDJ+mSIFKlN1MZk68vBUqf+LkuMqM7r rIQDCEZsPafRSsU22RTFAaPpXKU6yMqx3N7oidpj6oTwWbKalsA1CGE2tN5WHPn+gCK99Uxb SDkP78RbdMr0v8kqZFIJlg6fZWWZJroBI41Umv6CigwyHPzKSiLjrabDgJEoF4blJNWJj41V cpvpOzX1fEpZGNlHlPwFlGF8+zYsGjuWAvPWDDB0RsjTn4BwjXSmlMWrgHD6NwybjAUE9km7 E8wu0zYH3whXyWV5wC29bfMyJQdHX5SVx9l0lIPVKZPNps4p4HbDBDlcsqJOCBTObpfSKe4N 5xjjpf5E5BRptY0zJPEbreOaMLj6HeHgWTAde8tR/zU6/ttoQXw83Uq4pLPRpcAzNqMuCA2H iBP1BcZwuo6TDRENYljj6hQulwswr5IJHGzOFcaplY794/cvGiFF/FxMfHAEJXCsSwkEGs3j 0D8bEU3noV+o/u+DqBkCr6OQrwh/esNSctg6kG/TkFOxMZuR91jFiFgmTW39n7yK/TfLMKPc rdtqKk7WsWNZgoL38K+P3x+fPiDLkA9rV9u23JOTFcU4KGoscZNxRdqcHQNW5qeU3Z9R7r4Y MsDEjvsfJDBZR01ZX33UxRLyxHdA3ULHQlJAVG0SVqiEmE2W2vGUzkWShqYl8zLwK09ZjCIQ ZsWFGW+GVBS906culhnTIad2XPI156RA6YgE8HxHbnZ4K/Pic0Hc8QoiLDhv9nFK3JY2OwKO zOTSlV4v+jnLbHuU+n0wBSau8fn7y+Pr0E+0nR6dhZ7bPogtITI5wYeF6gVKg+NKisc6NsZZ uDafg51oEwaL1XnKC2a1nxtZZpohr5qjWgDyl1mIkatjDvjvLc8cY0kudZLHdhoOm5qxHBCC q5rosca9dFOcuQMHATI0vZKM6npMy76OZQvfxGEgnPJvbz8BXZXohaC9hhG39rYqGJtUoOD7 LUfrdz4stObVr/UTsbBbsuQ8J2z3N45gKeSKgnMxTO0e8KlmO+jG32C9y0akDWzJVUnvNoq8 lWmTluQ7bqAm2Fe9P/HW8G7fK2oP8sHnA6mW1R6ex+C7bok+Xa4UN9HCqGLqMLCYWAMtU6st 5B/9wyFLMajUwFVtki6AicrlAKxSoI5hQOtyiHsv1Gpisd1aiQPPavvPY/eC8lZo0iyLwkMj HbB5LnA9wXGK7oudS127uIU16OT2yUB49nvbbL3EtUs42wnP97FNEKjDCJ8QTWK4GxEaIgTq A1z8nNJLe4Y5obiWHTw3fpY7U9kqlW6GwBN3I1e61mT4TcPOq3W84/sEItFgVvEvh6s/JbFX JqlO+orvlL7SehFpekVh89R5dmheDf0s7KrklrPZ+iBVqbbEiHxbuMW3dHb9oEMpZM6mzLCK jiccA0oLLe1m3gQCJJ/b9NDe0J/b4QAgBPvOtQtwIrP/o+zKmtvGlfVfUc3TnIc5I4la7608 kCAlMuZmApTkvLAcW0lcx7ZStlN18u9vN7gIINHg3Jc4Qn8AsaPR6AXT6cCZWo3gkjZbOmbj 646+IhyNtnTCQl3SE3+9JAL+1GS0XCDpcGmxECmr6pqYEHdHIKIpMXFvBGoq1eaImzTQecSX yy3dZ0BfOcTKrMnbFXEnBTJlad3Qcj06We1bEy2GiQHmLDG4r8RV8fv94/wy+YpevOuskz9f YNI8/56cX76eHx/Pj5O/G9RfwHw8/Hj6+a9+6cDaR/u0doxEGG/LpUWLTeVwsBEDawk6udZv 8CgBtowkww4R6fqfTVxQ2KVfgZ8CzN/1yrl/vP/5Qa8YP8pQ5FYSgjJZ1doPOVyB4VZOouDg zcSu/PKlyjgRLABhws04nPt0x4gIuNmePE5WOvv4Ac24NkwZ6sEsESUhz0NiTJ0X9RRA02Pa V3IHwZ1sBNLbwa9HJqGFxHPi2hby4aTPcz48CnI9Fgn8HOpZd7kfnp9qx7hDthszwqmO5tk3 9IGnoGIM0DUG2ufRcLVjTb6jV4H7j8vb8AAQOdTz8vAfQ1tFXs2Wm00dTb09UZp301pna4Iv fCkVaEt5QL1/fHzCZ1VYOfJr7/9WPOugROroQv3reyWw0NiQWiXsKoapk4xdcDTpfUp2suIl 8F6aSpOablG5z1EXC6EEu8GFhey5AphqKJ7PKZfYGsR8aGkQ8/nSQrhnXgkt3budr/9L8Ict JnFPszXFI/ZA5togP7MP0BLitNkS7sZbTJxv1vO1FQKVXgC3YMXAVuUszMW0Vd675T6oYsHm 24W5o+spMdCg7tHdg0kQMbBjkQlw9Jof62pqswmG0fDhPK29fhk23s5DOvB35b4szBFcByjz MHQwf72YEa7mVIj5dfYKSWZT4s1Ux5jZIB1j5v90jPklQMM4o/XZzonZfsUI0kuMjhn7FmBW lNRAwYw5x5eYkT7kbL0aGYubjQgo4WcLmU1HMTs3mS1Dyz54deqfw/UyoaQqbcU9Uhu+hYhT bm+Zz1cjoQwwTsDcdGB0ANT/5UmiiZMbWrS8gUuI+RTqemU920yXZg5NxWzmO8LaqwMtnfWS YHFaDFxqCI9pLWQfL2cbUhLXYebTMcx6NSW8w10R9jkeRuFqRtx1ui72EpcwJ1AgOeUTtBuo 5chcQhZ0dIZHYmM+XFrAZ0achS0AFkcxm4/MSekniTBe6jDyALOvfcDAiWlfIYiZE/7TNMzc 3jCJ+Qf1mRNqRDrGXmfkOlbTlf1jEjSzHwwSs7IfZojZ2kcdg2qsnNFPrVYjk0NiRsKqSMxI fUJRjuz4CcudsRM6TgjJzRWwHgWMTIhkbW8JAOyjEycjMWZQUWwMMFbJkUUfJ5SZ2BUwsniS 7Vglt8u5Y2fMJIZgaXWMvb0526ydkVWKmAXBr7eYVLAKtecxZjjlmrWFMgHL0N4FiFmPzCfA wAXL3teI2U7tXSl1Q7bE7SAh5QxNbh6KkaUFCDaCsEgJO84kCWZrxz4IQcJmC+LupWDms3HM 6jinvEC3lU44W6yTfwYaWRI1zHNGtjrgd5YrjFEwiC9nho7MWYlx7DcO4AVXI2eP67PZfONv Ru9JfDYdOXsBA7f9kXJgcDYjUy5K3TmhMKVCyLfVJvAXoxyRt4AwYSMnmEjy2cgalRD7hAQI FUFNhYz0CppbsrwcZfwAt9qs7OzuQcyo8LVXCNp7WCHHjbPeUI78FQzp7F/FECHzNIy9myXE PkMBEq83S+L5V0etqHAMVxQs0dB+W6pBgY6yPmV0CwVf6/7B/VTcTGf6Pb9ByPPMVZ6Pm4Sh 3KcloItEVFZFJ7m5SWLUAtuA9PsMAzUFeXWMeGAqUQXu3KioFU6MDTJlkbFoaR+XpiyNwCuO M9Z3oT/IR9fKALS2EwFoCVn1zSENuGujqJL+P21Aj0FSGc+IqqOzyfJY7OobRwM5bVZVfoNy 4STv5sxLvwiescoXvAVQH3MW09MYRkZICE2oBtMpWfzupwxcSHaENDu6d1k5VHU83n88/Hi8 fCftWni2E+onu7Lrd7SOZGxO473NDvKPdjpek5zTyJdcdluim86jTwQ1x7A9qNtPI+IowRdw K2ANhzwJkOKhDV0HnqNdPxy8RMwUj1W7SORsbm9qUBaZtSWRt4bP0NTEJcITHd0dLKxexjbb yplOA+4hWdN2QMeOVB5oaoNXUzpXFHlfewOFMrP5jq470ElimNv7jQMjZ+kXeQ+aOSQ9PZAj t5oOu+C6BvKSnlPScB84VWc2o0tAkLP21pa2I/ND0dqD2AbYrNdW+tZGT1wWfqFrD9M6yIGt d4zD0yirRH99vX8/P173I4xfqbtEZ1HOrAMMNcgNITpL7o0WDhhz4W0j0PY94zyqQ57ViriX 16eH9wl/en56uLxOvPuH//x8vu9FQ+UmV5UeS9xBcd7b5f7x4fIyef95fnj69vQwcRNPC7GB 2QatS349fzx9+/X6gI+wQ9ca7RDt/MHhgGkud9YEo5tj0FJpjUiIODG/NFuaEjcN+YFTPidC /so6FajTQDx/YwV8dzt16PxIXs5pY6UWYmZ7WzIh2+7IZr66IVMGRJIcp3TRcJ1HX1hk5UOB CiQ8Yo5hCsU5qyLdUg2TKEUo/F7NW8Q553RkgR6OUrNB2Gc3/VKxJPMJj4mIuQGmiYilgeTN RsajGqHTYyfpK8v0QoHvYkkIJhvAer0iLk4dYLOwAjbbqfULmy3xONrRCcnIlW4WGki6WFGC FUkO0t185hEPdIg4RDnGv+qFx9IgRSDMT9JIzNluCUuE7qHCZw4Ve0bSBR/4+OsBllNb+Zif MkOUALYUS0IkKenpUqwI+Q7SecAs3g8REC3Wq9MIJlkSMg5JvbnbwEylNwvkAcxcqXdaToeR vPXMd5xRbmaALDAyneMs4WrCgWOnp0qcO1vLUkDFD8K8XU4UN06IyJwi56vZlFAIQeJySsTs kfWXAEJw3wHmM3qVNAC67hKwIZQ1GwDsZIRASBzjxdSxDBIA0A+ffRSP8Wy+duyYOHGWlqUi KGfBciM4bSznpFtEX7LUtR61x2SzsGznQHZm9HnXQpbTMch2a5ZcFsEeb/uESEC6EmlvHQM+ av92//MH8nMGnT53b5IMHPYYtkzxetMkyPgV+7zkn2YrhUMHYh2FIygy8yD4xdCOYPd2/3Ke fP317dv5rbmja4zrzrzteS67kUqnVcx8U5vVenHRs+Btoxe+X56Bl3x6B7a2jVI0VCbEhrGB teLeZRjdA4UHnGEUBqzRGB020i/Bp1VnyCWjXAwL15Lhb1wmKf+0mZrpRXbkn+ZLhSfPSkOI qjDyh20L1djQ8OOqlSeKIN3r8WCATpm0lqEx1AyW2MRx6i4VyPzfP8vqDLh4xLuLvocCmcoK o0WBpKGKziADJkbmhSLpZREYpU+yF1r3SloWLxBZXu1MxkFIxolf3OndycIIfvUT+w4lMBG6 dp+lRU++eE3tfVerWJBwKzkOehY8PbLJuaOkfOmF4anHM/EigpdCepjFlDsjJEOJA1cRKvlu MJIlk152yRKPbtwLrajW9q6Q0tF+oeix0CTxRZo4Rmnopvr43AQpj2BFDIuKGS2ll/QgzQ5U F2PTTPO9TccfualxHUBGK73ekSC5KBO4dueuP6dmBaL2WziPjZMZqccwCGLeKzyUwbhhLCg/ IRKAjgVx39P7L8nQWG84naTltm1GpKKI9npZsNWr3owxKXdTFCjHmW60rSTbVkgepNCk1CTi q8nCje/SU7/uOSzumNFLIUcXL0WWUh4SJKaI0EEXRS4yRsVqCGWc86i32DTiwHmxTM6DwCcN zCVC4ODDrm00Z5eIMkWPeP2ii8TkxVauQ/RuAnd9zV64S6Q3VWkf/zm7639NTbeNrIjIpQeb Bg+C3vknwqLkAth4oUVVUlINa+Lo2vbXUwSTi6gDBmLrN61NszXry53vkuFMZb/J58EqLIfG MniTNDID6BZvwBDkakKDqH2KXa30tMK6akhjPyNbgMVkGO45joQADqaO3tTz69cJz5XEWnNC T5M2GKHLq5DpNe37A3TTFNY4C9ADVmNBPLSiTJ7eH87PKOW8/HqXXdU41dO7qX1xbGIV9j/V BPGCvTDNCvPal30gzHLehlYdwwh9P3Hz+m9RXix5YS76oz1A7gg1WemONM6jvlWSQu69GGPS UY6I5w6ftuUMQ6vMa4Bw5d1NK4St1ie43YfELoqQE86UHkAhBw1ZnxUyFe4hslMqIQxUge4+ jxzYNlPenlcH9Ut2Cz7Z2adyPpuGubVdEc9ns9VpFOOs5lbMDv4J5yOduIPxhypZ+jEz9mPW tXnYH5mtP9SpdS1Zy8/jzWxmrXWxcVer5XZtBWENpFFTkvnDWx7Oxebplz3fvxvtAuXuYHFz K30eEByeXAk+nVfoksnaUCYTwf9MZBfAXR61px/PP8+vj++Ty+uEMx7Bffhj0oZh5f7k5f53 a/V2//x+mXw9T17P58fz4/9O0ExNLSk8P/+cfLu8TV4ub+fJ0+u3i75zNbjBWNTJFqsyFdU4 vybGuyvLFe7O7XnNbYk7OPtr/+0GYsT9+XRqpsH/XWEmcd8vpluatlyaaZ/LpA0Ja6C6sVv6 LtVhWWpxfacCb9yCCNytopq7IUZAZvRm3qLhal2V3mpOvNDIxecODzlcE9HL/Xf0GWtw2yD3 e59RDxeSjEw+dc0DQJTTYjyZXy5cn3BWIo/QIzOL+Roi7XYbbdPQlZl1U13rSsNdt/RCVOq9 Lp2kGLPpbAORP0gi4iGuoRLmY3J78ktRmq8JddUOPKDXbRFllE2JdFQe7DNB3mElwrL/xgFN a6czu1sz4pWxhkltIHrE/MGNUz/dhB9J/5B0/6E4yIeRjwl3pbUvaQ5/Dnt66hBvfXKjL9Dv 2CHyClJAK5uSHd0CxsPkd0QWEwzZySDkMnYtnHG76CRKy8KKOApFd4SUDgB3kJueR8EX2Z0n epqGHPha+I+zJJReZTeh0xfo6aCQtbYsVTfjN8EwYiuuqfzH7/enh/vnSXz/2+ykQJ7NVPyF LK+5RxZEZjclHX9FPFshfe/6e8KytjwSD3LUU2SQ0J5C8UoC89N8VXAZ3FR45EUxFQA7gn/T yHNTE3MXwFURzpMMLyScFaVyIEvS4KaFqT1M4ziP3/GddleVRCpcmyQmiam8fahGipZJwXo5 Pw3Kjjbz7Zp4N6sBpFPLhjy3kgNnZgWcHPObWZ17Sb0G1eQ1eQY22e1VJ4PkNKU7NjL3isg3 hnQsBKtqDwVKAotdVSKNSSETmRbDSEls7s+f/nj7eJj+oQKAKOBioOdqEnu5ugojxOyLAihG N+yYA3jyXTcj++l5kTFDcs8buppelVEgtWmNfSqrWBwG21knBMGaGraoNp/recsvATdvmVfQ aUMoe7QQn8N+ZX7nVSGE5YMCWa3Ne/wV4swdOwT1VrfEHGwxBV8yZ+RTEY9hEZrXmY4h7Dp1 0NLePSeEWBE5281nhPGNgtks5/bhlBiC69EwlAKWBiL0O7rBWMwEYV7YQrxbZ24+floEd5bO lrCUbjG7xKHsoLtBP0F1zYeqAqE8KrSQIHGmI6NQHACy1e8C9StjHvVWZK2G+Xz/AXfjlx6t VypLMt7fJZpVM9+YWXQFsiTUDVXI0j6WuDw3S/RREMVE9Kkrck0Y6l4h8wVhQtgNu7iZrYVr X4HJYiNGWo8QwsOaCiHCHHQQnqzmI43ybheU7WQ3N/IlIzi7FoKzZ3gNvLz+xfLSNH1Qms3P r++Xt7HtXhHBo18hYy38xDVIoa9cX3my3leoOM5R0QXAMhz+nStIWevD09vH02W4Ehq/nbXM b5DWcIMDkocWK7qcuKEM/JvrZIwvaMiFybAY8a0qsAjsH94u75dvH5Pw98/z21+Hyfdf5/cP 04NEeJcHhfkuwIW7j4yWO9I8ppFvtpVQ6+qyoAh980tN444j21CilDaejiVEQJhL/t/MlaBF gM3/ZWdk77tEQMRaFzYJ0jgz3xmlGdqRcD6GT2jCLeCql/ee4BUID+FmUnmiKnY3EREJuUWF VD1lNViSE67oZCsiqo1egrHazD1Uv5FWt4SrnLrkgrjDNrZR+BYJKWnACMuLQ+5SkX8bg6gE GFGicbyUPm6RpXVsoRpYWGRJ0E1Wi6t9/vPpVTpO6+1vTCbyy683k4o9i2+Cg5CRxx3F4AV/ Vo2btSvSi/0OeR1EkWBbI8KOIqwdqMIwjwASURI2uS1CJGZ93qBxvQsLnlDHdaPYy4y+S7Mk KZXLcq1Uh97pnh4mkjjJ77+fP6SPOW7QsUv8ugzbDKbpxS1GszCEqyrOL5eP88+3y4PRmlQE 8l0EVgBeiYa5f768f+/PAw7AP3ntNTN7nTD0h3m12jC85MESOkUVL1zC+U3GKqK/c7mp7org 1jxeJ1xYlDwlKwhxCHE2psIssjnAsqEcJeRHwh8lhgknc0mHbKihJ1D1jxCs7gxPQyjO4r++ 1s5I1S5u1OhIeRe6METHofNNmkgh3Tiq5B7hmo8l1Q3qwiKC/qK0KiWcIidsqHiQwzUemO/7 V9hdXi6vTx8Xg7Zl4WrHqwjL1Ef1/Xh47XZfH98uT4/aIkv9IiP818WRlx78KDGPZ3roOeOu tVOf3l7kljkwGw18XxdW+VVm1GLZRUUi3cZC+bB+FS1P5A4Kr1RSmO+pUc39JIq0r/jonhwl HobvSBpzU2mthhxTmqVVsIvgGtEpp15nL74ywsG4Q4lyau6vfZbt46Cr/6BvoOzJn+hV9vX9 Cfe8rq+iVmDzL9M+iFU6uEbmFEkB10SRkNIGQdA6TyUcCzfP9XivSGa5VOFpxhEqWC8qZQx9 Bl0F+VE7rBayKh84iXm1GyZUJ1eIYpicZzw6QSnxkMQDVhZajGygOP3CHboUhyxl0S9lQZey 6JWibrKLKkhZcZeThuQSQwl6P3u+Fv4Gf5NgqETiyY5X5HNBxINixytdutwlS/fqJlFmC8Cz rdJ9lytl9sdMJRn6SiWb+uuzJJnuCm0LlN+3ZSZcPcnwSUzu+XmHFFh25tFAIv1Sv99hrDfz wZSxIbHd9UUzAi/9FK3G11OipdbO75GD2RfUC0UHhkULTHcKOClLJXy/SjTdwpruchgmwpY5 isl27ua9ZsoEtBHQBq+B9edOm2zskpbYzhrzsT/v+owYpLaYkTUpYXBFlsF2zAjoRNfEzFKb BPK2WidEcAIgc6/FYtrxNBPRTtmK/H5CVCdIZxdaD7k1wVCndqV0WJmAgXrlc2IX7MPMjKCK TpMDl01EOG+pEdTeVFNFEWj6Mbe7RFQHk9/NmqLEGpMFMBEPU65xFFpWpRTZjusb+A5DD+p7 IDNrWmeHoIjdu3oe18fr/cOPnukMl9vs4OBm/l9wU/zbP/jyXBwcixHPtqvVVKvZ5yyO1HjV XwCk0kt/V/V/pzFvz18/43/vXPF3Ksyf3PUWX8Ihh5Zy6EPwd6uGyeCGk6NW08JZm+hRhk6X MeD2H/fvD09PyttTKga7ec2svp9/PV4m30y1laeNWheZcKPHGZJph8SQiNaK6hSRiVh91LKM RFb0SMDOxX4RKHqvN0GRqt/vvYKJJB/8NK33mtDb4MJyDyvOUwtokmQdlVu+/DM4tIH1AvbO vPViFEu5p+CDYJDogjR/MBBX2o6mBXKPpKghnRFItZo1cQYFdFbPUh2aFGd7gsLg5kyQ+G3p 8pAgHk7015IohfGm2IDE0i85TbtNTwsrdUXxRkXzSYXNkil4Mwn8yrurPF2IVJPhDtNLz1H5 Tduf65TWHs58PNSQPOGEy/yavqOP0gZBijju+IHqlpLqkzb8gL4iWmKvu/C3etTI307/t77A ZdpC7StM4UfXZFFUg6tZHw5pptiXuayg5A+k5yVlhJDSHzWJjoOTmuOl/+kqSvI4SIJUSKOt Cu3issSN0k9//Of89np+/vfl7fsfg+rNMCpoMfCC1U2kTFSpvklhRjxrG70WPzUOTwPC3TaI EaT1rK//gsEZdL7fHyHfNET+cIx82WFm1hapzbGWfg4Y0eq9jMCYY5QxpaI4KP2f9deVNkP9 hkpBSOibX/AyLXLW/13t1Xt0k4bLHM7gNFXjmQEBXQ8AvropvKXaB002+grAgjw0ryoW9Tio qGHvKXB1DNybKj+iFUk4yFnmzI1NhqKS2js8/6+xY1tqJcf9CjVPu1W7UyRw2PDAg9PtJj30 jb6QhJcuhpMF6gxwKoTaOX+/lmx3+yJ3qJopTiS1r7IsS7KMMNxpvXLEqIYKwV56HyA08FoF 4snGOd3OAya+IqpC4kooUyy8EQdE2WVlCSv8SZ+RJIo6IemmZeY6yxqtxV399nn47+I3E6P1 vl7ofdYKMnGhtLM2USBbr0W0CMRZO0SBEbeJvlTdFxq+CGQ/dohoR7hD9JWGB0JVHCI63sAh +soQXNARBw4RHVBgEV0GMuXaRF+Z4MtAWJRNdP6FNi0CYVpAJM5Xi8W3y54OyrCKmYXi/10q 6ggLNKyJ0tRec7r6mbusNCI8BpoizCia4njvwyyiKcKzqinCi0hThKdqGIbjnQk8RWORhLtz U6aLnnYTDWjaMwjonMEja3kg/l1TRDxrA36hkaRoIf3iNFFdCl3rWGXbOs2yI9VdM36UpOaB ayaaIo0g8p/2YQw0RRfwOlvDd6xTbVffpA11Ux0oujZZWN6azHco3aAae/L88Pjj5e3JeHYd 1bW0vk0ydt24buaf+5e3ww98suz76+7jyb+UKp/lRee2YUXhTQNLPwNHzh0fEuVenRtHWdCO 1dcxd6KNdEfUdVatp6j0Ka8/X/7a/fvw8ro7eXzePf74wAY+SvjeaOM4Ivh4FNjpKe9PgbmH wXpnvNhtWCclPu+aVppPDVuQOJbJL6/mp+cLQ42ETMZCvuXigJbTKk3NWYwFs9Dt2EIcAiDH VL4ss4CTGG+CrQvyNVnZacueIqrkdTP0whmfRir1YC3JIWMjUeb48JzselWiebRxh0TB/Trw 4U+l+ELIRdURtWCuBzjamu9/G8DBvian5ur075ndaXly0hyT717f979O4t2fn09PkvvtEcS3 zJuQuVsWCYSYGXmCplzCuShgT8m6pSYL5OAHitB5YcXuuO5czvNMDKA/uBoz0URRfnQjTpeh p3MkVeAtTIVM67YjU9hIvAyQEKstbU2RgEA0wqdi4nldl7U6SJpZn9VgS9YA1+uRwcD+gFE6 yco1wdImOlQSMjWMnbO6DSRrmBVfiICpYV4JkeoJYeTAk+z98cfnTym0Vg9vT5akgpNxV4lS WjEwgetcEtmvIH6sZQ093RW+Zi5Wc1mSY2jh+zuWdWId2UgQ6mAuGcB4Z32QxhZQ+UBHZgao x8w2WjEjL2Lf0eqMJzTlhvMq5F7RwVVOfTiyMN7j4j/5x4eKQvv418nr52H39078Y3d4/P33 3//p7xl1KwR/yzeBYFk126Jd7kvaDsnxQtZrSSTkQLmuWEvf7JW0UFkflkZVLVheu88CJmFI CtYyKjhWvSWrLm5lYtT9daXK7lmVim0jS8IuVaxJcDLcHvRusZBKiMFawB+IJGSdFLbB9ov/ 7yB+pyG+Daa2UNInPUbRUE48idISrvGrjWoeCz03ZZnPpHXUBTYonEtA+zU2FTiXAEltuKFB HzUQ8d2RmQESEMRiJrJsEAgXp04hQes1YPntlEtdzRayidiHISqPagi5cUB+LWPvgIaSdJT4 y4/vRRPGzpG9ha5YRFs6EdiQIkZvRnUq5Da+wxCV1VZKPYJRAoREDfJNh2GZEObTspLTUzv7 WtIVUtubxl7XrFp9iSap9B1ia5dWKnyil3EY2a/TdgWpJhu3IonOI0iVJQgimWzLJAHXJnIo UOJa8AoRK8/KkgfASJUmizYclNhfzDfptFs2JXJcRiAKl12SmGMkDj6itUBvxTCIPy3wuUxZ 6Y2sURQK+DV6Tez6rfJ0fKZbkCL0OcKdiSAjHOEBIa6bMkk8uNzavcIUf8p5aryhbgrmpMJw EINOaI/HEm6/r0BKooOnKAvbRafgkIMJknHG6oPATjyQC1aaJJSai2wisSx1ChUdJGN40EUV Sy6Zw4haIKEG0AzODKyo44tpmFDVTX963CU2ikI1fS0T20UV2i3g4oy3XQ/A8EY0rtp+KaTp Kmd14L6gsTq+ThlqtV2/0EO7HE4c6Fz0N+jPN7Q4tLuPg2VByW7iNrf2XciXgHmxmlBuWMkF jRmQRtItR8EulKyJnXwJsUNhPOoGQsfvp8nEEoMVFphdqRFenA8KnxVF0WwLIU1ZGl9MjDOM zIpv4i7wlBgSwO5XgLEiq3ggiRnS3QjCtgyktgaCGvxqeMUpqCWnMcd0UrOzy3O4GIenVmpB d2kGPuGoqSNrvxafgA4c1m8kN9xQOaoQNWzyo1ca4csqcSA6INpUUWQRnv1sXHw8n54NOAMI oXHDtwFBx8AzHjyEy9PxdWwlvYPfAamJeo2QjE7Mu8LDnTeltKN9sDMDr1mdbZXB0Ar7MeB9 vLymGcuiggByigiv3LUuc9rHwRKSSxlC14A66o+2qWF+sA7zJduZPNV5YRNab3HZCdaVhlPv M4iUyrqGPiTKK0NhnlRXitraub9nzuwotonnhGCkYg4unnqQBkRBYvtD1uzbbcX7083idLQl uDgeX81onGTvqzmNxR3/zMNhZebFgxERSBs0UEwsp4EGaiWZRMf9GU28OnUnT9q+Wc0CpuGo IkJFB2xZiXNYei8OzEWWBgNOZU2o9E7gizwlJ9CZaWVKA0kBG8SKUWwzkiZVZylhnRCquH0E sm00u8fP/cvhl+9eALlkFSXzXoJmLVCwTwQC5dS3tDCQ4c08nhB7KkwA3o9t8FoViq5J2kkk fXVGsctYm5mwxsVe/TbEIGzEeRWPzIZ2J3dgO+xTwsCyWW1d6MaM95Sg6taFyA0d9ME74wgD ozfc5Y72v34e3k8eIe3f+/7keffXz93euL2JxEKjvhb7pFuGAs99OGcxCfRJha4dpdXK1GZd jP+RirjxgT5pbZ3eBhhJODi6XFwFUdg0lOi80exRJqhKGkYwkkLmrGDXxEAoOFUeqB9HC+zj tJHvc4KZzyv+OpnNF3mXeYiiy2ig3+cK/3pgCFO87XjHPQz+iYke5RIT7hTr2pUQAV6JuH2/ usRwlJOqqN/vrOMKB8JPLwj2eXjeicPC48Nh9/2Evz3CAoE3xP73cng+YR8f748viIofDg/e Qomi3K8oyomORism/pufVmW2nZ3ZuWVsyobfpt767bn4WuwfdzqQf4m3sF/fv5sJj3RdS3+8 otYfkohgDx4tPVhWrwkWICrZtEMs/+rh4znUvJz5n64o4Iaq5E5SSh/Ny5M44fk11NHZnBgD BMtb1DSShorOZtSKEch2dhqnCTXfGqc+Ds/3tRdQqEaY4JQQDW7ndjyVs87ic1/QxN98WCr4 DHI9pP7w1XksRAcJvjilwPNvFxT4bO5TNys2I4F90zT8jBgegRTlS/TUEAm6b7P5l+hmfU69 U2hVSDVSlO/Lp+t6dumD1xVFjCzQI5/0RTowqNyxX34+2xkW9P7qL14BU5xAooyiHWTRLVOi uDryCxKazDpJiQ1ZI7wAYBcfaGHEcp5lKQsijn0IfRRdZHebkdJblh7t/OjaiRjEktCdApy/ ihBqN8Qn8FkJoVOfxXZWmRF61vOYH+1IQm/bNyt2TyhwDcsaRi1VCZ8YY7XVTa02TXO0zfbj CwOwrizjqw0Xi53PQ2OoaSbZxCA6zh8t93m2XZfkIlHwEDtpdKDtNro/W7NtkMbq3xCLtd99 fAjtxpMmQhUG55hX2r2VA1LrA/clMWaLQDau4SM69HFEr4jEIw9v399fT4rP1z93e5lH5eFA tZ8VDdzlp9T/uF6Caa3oaIxSPLxFhTgWsNmYREKzCvMGUHj1/pHC81lw2i8rfwLRxkgdvzSC Pg8N2GY8YVHnB6SpA3YIlw4OceHO4a5l36fXmDUpp+76isXB2AuDLIpoy6BBcgs3N1eLy29/ R3RcRYD2jkq/Ic7Pec7BagBWBmkI+kUgq26ZKZqmW9pkBk4clPHwZ1nhvp1e9hGvwY0NMYs9 hgPUHstHu/0BMuiIQ8cHpuj/eHl6ezh87lX8pBNxIG+E9S08PSNtJDWdogzthDd3xnlFQ8A5 COnQaUziem8VvK/LrrWcmwMWnWDmdwAU7BShBRoepIIoBhutsruZH0grR0JUkDcpAQVjV80z tpEelIibex0Q3CVuHdofG6d1u81KGecJvgZoo03q3sxWgXXpvX45bKS1P9Qq12hxh87ltF1T DkUnjr0x7dpIC1Yr23iiBXv28uf+Yf/rZP/+eXh5szLgokXItBQt07bmkPbPfkFtcA+MeCrA BPvKDAVSD2DT1kVUbfukLnN9nZ8gyXgRwBa87QU/mc5mjYLcM+BPAT+LGaU4JDuKUjCSm45m jQqCjdUNvYYLfFFebaKVjIGqeeJQQGBIAoogPkVWZaltYoiEyEpbSyOJZhc2xXBWNGBp2/X2 V2eO4QfOnxNWe0UgJA9fbhfEpxIT2nuRhNVr5+lLh2IZCIsX2P8QbRI6w3ACN2npWyrI6nKQ 5RrT00Q7T1kRl/n0mIDSAvuSrdEg1NNzhC6D1dpvLQIUXCY+/JyEb+4B7P5WdiYbhgmxKp82 ZabCp4CszilYu+rypYeAADO/3GX0h7UNSWjIizX0rb++T600VANiKRBzEpPd54xEbO4D9GUA fu6vWQygZK1tB2/KKBUyCYVXzayAIUh6kvPcBYFzzE4ShSFfZsNxH7GTcN2aIi8rLQcq/J7i xiKzb38O4mRw0eP0J3gREvpitCS7h6yf1jIq6ziwNOKYUkTzKrV0+BJe4OPXaWMFWHVRM1e+ fLO2BsIWM3InGrohaNA2SfSwEhNgq7IDCtO2olNUIP8Ps2+3KC5gAQA= --zYM0uCDKw75PZbzx--