From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============4404198222209588774==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: [android-goldfish:android-3.18 113/206] WARNING: ipc/built-in.o(.data+0xa8): Section mismatch in reference from the variable .L72 to the function .init.text:sem_init() Date: Mon, 12 Jul 2021 15:31:46 +0800 Message-ID: <202107121537.1zRw8Cc2-lkp@intel.com> List-Id: --===============4404198222209588774== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable tree: https://android.googlesource.com/kernel/goldfish android-3.18 head: e1ada1f8a51f0236f1fe313d134ed401a7bc80f9 commit: 829b990e2c206f58713d04b5a86763e2116a98b1 [113/206] ipc/util.c: sysv= ipc_find_ipc() incorrectly updates position index config: parisc-randconfig-c004-20210706 (attached as .config) compiler: hppa64-linux-gcc (GCC) 5.5.0 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 git remote add android-goldfish https://android.googlesource.com/ke= rnel/goldfish git fetch --no-tags android-goldfish android-3.18 git checkout 829b990e2c206f58713d04b5a86763e2116a98b1 # save the attached .config to linux build tree mkdir build_dir COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-5.5.0 make.cross = O=3Dbuild_dir ARCH=3Dparisc SHELL=3D/bin/bash If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): >> WARNING: ipc/built-in.o(.data+0xa8): Section mismatch in reference from = the variable .L72 to the function .init.text:sem_init() The variable .L72 references the function __init sem_init() If the reference is valid then annotate the variable with or __refdata (see linux/init.h) or name the variable: = -- >> WARNING: ipc/built-in.o(.data+0xb0): Section mismatch in reference from = the variable .L74 to the function .init.text:msg_init() The variable .L74 references the function __init msg_init() If the reference is valid then annotate the variable with or __refdata (see linux/init.h) or name the variable: = -- >> WARNING: ipc/built-in.o(.data+0xb8): Section mismatch in reference from = the variable .L76 to the function .init.text:shm_init() The variable .L76 references the function __init shm_init() If the reference is valid then annotate the variable with or __refdata (see linux/init.h) or name the variable: = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============4404198222209588774== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICA3W62AAAy5jb25maWcAjDxZc9s40u/7K1iZ72Gmanai05LrqzyAIChixMsAqMMvLI+tbFTr 2ClJnuPfbwMkRYBsOnlIInU3rkbfDeWnf/3kkbfL69eHy/Hx4fn5H+8/h5fD6eFyePI+H58P/+8F mZdmymMBV78BcXx8efv747eH0/H86E1/Gy9/G89G3vpwejk8e/T15fPxP28w/Pj68q+f/kWzNOSr MieCS/rpn+Z7khTtF6kIXZcrkW1lkbdgsZUsKVcsZYLTUuY8jTO6BvxPXk1BBI3KiMiSx9lqUhbT iXc8ey+vF+98uAyT3cxsspqoWccvVu0WGmC0ZXwVqT6Ckpj7gihWBiwm+5YgIhtWxoBI6V5leQkn yzOhOodWglDWx6WMBWWQkDIhuSZUrIOTK4OOWbpSUYsLWFh/irlUnz58fD7+8fHr69Pb8+H88f+K lCSsFCxmRLKPvz2am/rQjOXirtxmQvMXru0nb2WE4Fmz6O1be5G+yNYsLbO0lIl1VzzlqmTpBnit F0+4+jSdNEgqMilLmiU5j9mnD9cla0ipmLQOD5dM4g0TkmepRWyDS1KozDk2KWJVRplU+oyfPvz8 8vpy+OU6Vu7lhufUFp08k3xXJncFKxgiDdWWE5ZkYl8SBXcV2aPDiKRBzFBpKyQDmcAFsQAVQlYz wmKk1FDAduGscXMTcDPe+e2P8z/ny+FrexONCOqLy0XmWzKiQUGWEJ7am26hwDEQc3sjZiGaFx/V w/m/3uX49eA9vDx558vD5ew9PD6+vr1cji//aVdXHFQWBpSE0qxIFU9X9lq+DPSmKAMuAoVC2aGI XGvplr2dCFp4sn9kWGVfAs65SMFYkisNRjhrlqiHNGaFFlqn4ljLX5I5LFIwmSEwiolu2i94HJQ+ TycUxfN19QHZDFgfGB6WMuKh+jReXIUNTF+Ry3aLFaC6JXt7NTyEXd4zgS5/HbrhAweAS5PM5bk7 Fgj0ldkLCyazQoCpMncNSjg8WtKIBe1RQsJFiWJoKEsf1GjLA+Uol1D2AGyliNF1nvFU6Y2pTDB7 uLYAMofrwzZppjTmwyxhjwOtgx0FDASKgsUNUOYJbeWRef14rXlu7KAIXLsoSAITVwzUBq2dLChX 9zxHpgOMD5iJJbVBGd8nxAHs7jv4zGGjhsxwEaBlliuw0vesDDNRSviA7IKkYGp5mgXMkk1tnFRc sh1lMAUQGFXp4Y01A48T8xWY6zjOti2Jn4ftF7bLmXCETa6YSkBvy9oOokeobguhqPFrAMt9Iu2J G1iJD8kFSNTa2qYdCfjgM8uwMFa5dQOFYjt0eyzPhjYODCFxiIsX3AkTISbzbMNSFQYOE8vWUTST R+CynAiJZ9jFBhsOx6mHOzxiic+CAFU746XgssJqM7LxT3Xklx9On19PXx9eHg8e+/PwAo6DgAuh 2nUcTufKw9ScbidB1tkkFe5qbKzzxYV/NYtWFEEUBCZOaChj4mP6DxO4ZBlKtpcKYk8lCvg3KNds LyoHdxWVLORxx+dlFRTTJMO6Bm+PKYznxrhghtzMfIirjBJps0W1P+0HoRCJlTzQgVQkGLFkpA58 YaI04aUkIRjwJN/RyPUqtApGYSuKUTCnQ7vZcDDNrs/Xe+gEvUkWVAvLnFEecjvqz4IiZlKHSCWL Q2NNrYuMs5SBotH1lojgKl4rmm3+/cfDGdKR/1aS9u30ColJFY5cT6HJ4KJEynC9M3trOKaDZ5pF TICYoVJCwMGHVogJB0+0stuW0JgEmWgFHLXr1GdEZjUxso47IPaU3HcFwde5DeZYqnhbZAFRFq+I TMfttyKF3IgD83SSBN+6eRISMBjW5afXx8P5/HryLv98qyK+z4eHy9vp4KorWYxGI5SrgBqPRjEe CgFyMjxu2h13RS13o5Gla2RifxMsZIpaSU8CYrNq7FgNM3pjT6GzT/hnxYyvK2drxwr08OObNR7B 9yhvZgOUoJR4fCjujLZhElKpDSRoVDW5B4gTizsaHcAWMlC/FdBA0kUqUbIpQsg8B5HO8Dp3chhs 4mnw/Y6ANvBNFoPqE7HH+VNRod61Gm8sh2Uy7suxue1WUe/LyRyXGkBNBwSqmmeEma77T4CxLsaE gJHQGQym+++xv+FrQtKCOKGAw9QKjUxej3cnLHWEVVbjnIjUmCw/y8yS2h4ZSlRlVgxmWkmIphRL AzvMlnkMZidX2iaY2P/TzDL92ndSHcZhs0Z7CJWCQJSqq1D32lJrI6pXBevXeG7tIFQGkZOli2tp nbdJ1RNd2UjAWOn5P81GtzdOfQMCBONo1k4wQ2NGUgqpOMaD+zzLrJu69wuLCffGTGduBWCltHJo poPVXKFS1YwzRRhk0YTs6uqVMQaJ/2l5ZUYVlziBsS5C9OAm5Tea2Xg8/+3svX7TBbSz93NO+a9e ThPKya8e4xL+Xkn6qweffnH8nxwwwpQPwCl42b5LIP/WFs47fzs8Hj8fH72n0/HPKny7Zl8E3Jcs YwoJhpG0ds6ANmh8zRZfgo9HhS4wzK6sltkR+/vw+HZ5+OP5YMqRngkyL9aGtKtOlA4oLN9cwSQV PFc9nSJZgVck6mEJH2AmhVwzKBIsZUuZdad1TAowcMtr0G0pQUWvIU16uPz1evovRDDNPbvulq4Z vj9w9Hi+ASvpKBX3OCnDZBdSb5HxQLs0SPTgA5DVBUBrUm0dNlztjQY4mUJNDgaTJkRgplSPz1UO equvPNw7M5uxYGJMzgOTJ3knnAYaiJbVQJ0D7ChmvJVVk/QFD1aW86sCYdhTIIm90CYmabkcTcZ3 6EoBozgD49ixJ/AVLz/zHL8zCOhijG27ydyqhpLct5xzlDlyxhljeufzmb2ThNAKOHAnTSHGCN3d 2+HtAJL4UT5+OTy9dcPqmr6k/t3wbGWkfFdsDDC0K/4NFLLsrA9NwCnwuz5c2K6sAcrQ7whKDX5v i4rdxf2plB/2gSt01UBqMccWhn8ZJo3XkUIgJ77DOUEjCPj74LsQ4Q51o5MGHN5dMb29vsujKEK4 kXOGTZTHWAX5+eF81m6j0/7Rg6gdoNcAnUNx2gcryiGK2XXX1ahwO2gANbrTA+pghdzk2KQafvPO uNCpXzVQ2tQQu4fKO2xkCXFSlhZWRQ9Wr8RC0SRHh6T+XjEUA4fvnq7GJEyRgfPVFJDcKnRSSlIe YEwjFLOKV0Hjdv4cUEdlg1SamrJu6GBJL1h3omPDjZMiX6FlirtniyKhRGLbs0h65fUsZ+lGbjmc Gp1+IzPtmbHMrfH0AScrl4tJDqxaSac0G0ns1HUB3XhNxzRYiMqVdqyT2OmIe1/qmqPl/u6uHaQ6 3vAuh/OlY98jkggSoFVCuHhrD8A0QbYuwKeJC1htmyXhmxcc/jw+HrygF0EC5aY3u4x7oIBtXACk +RSCNKVr1260oLEQjaKNCX3f6nbc2aro7+B3onNIFFhyN2iwUTkkcWEmMBdgNt3npAFdx3XnTfTf ePypx9LFYtS3vDBC5hDq62Lr54dHt4JjZqX5ZD7eDWxSZqFySpwV/0FD6l6SE/txEWDmxHdCbR8k M9Q9NlxXVemnDK+RAC7iQd47pP/8dri8vl6+eE+VaPWSEz2Scl/JwFagCloQu8fewspo1tl2g/Cp HN5gTUNUNF1/jwjtN1j46ZYL1t3bBv44sERs4h6gdI+qJ4qdKnEDKR0Dv4VvJp3pgHTTtgOS+b5H xG3FDFc63Bw7PiI2INPaT/CiRTNMyxeLM53y65wQhNARtSuZYKt+37pPRplQuupMTHMqSwvUJLRr V/UIp/vaImG1EN8N152JlMR6WwHWQrhSbh2+x9xvmNWBlFTscwXk+SCOOiFBB6nW3Iltruge09w0 wdpKAzGPZQRFEILqqo1Uwo47MWxpv5axCa4VoHenacqSH74eX86X0+G5/HL50COExNHpHF8RA57g ikdu1p5UJ+umr9mpC6HTwIC0QGeCrNqU5d+bAgIgP5Os29RqdxMnw0gIHvtRTHuJ6h19uVJxX8rv igjoxzsLQYjzIyvpkkj0Q4TRNsl/iBDuv5T7lP4wMZXkh2lzhC99UhXEP0RXyQr2fuJKu+UJwfyz CNfcjuyq70bI7fuowTzNB6pbNQFYrAIijwwvrOiA8hb3epTwEB8T0p6v7gV/7auy42MN9rJ+9auo er8Ri3M0NwBvoZI8tOx1AykTt7UA2pEGJO73McwCIRcJ+BtWPejBavXbMs5IwKzc/TqGp3WrscWB lRfkSuG887jOpBufoj5aGZI41s1OrDSn30uY9yRNwdE+rYnJwAPbO7tGasIN1OReltEelttwOXDh 16eMedGEepgMslXVnXC+l3xCezAIQ3uwJLGDlGawsGoaupsgI2BdoN9IheZwLQdZSln/Uda1Wl6F g27Im6Vpr5vdqqXCrjwLnXQw1M2gUIcwKK3pXTihFsCcM8F3p1wH35MqWrMXyeAm8VdFpl2X6Jen 9eML3XkU7lvRFmA3KTUIyId6mAbd6Rh0sGS3XC5ub3oLlePJctaHppler8n+Ev00uL2URhhZCkIo 9ePUabwZTZyqAgnmk/muDPIMN16gBclesxfrrFN5O53I2ciKZXSjDYJjuwQJQhRnsgD9lVohqN3M J3kgb8FSE7tKxWU8uR2Npl2I3ZBuDqUAM587ncwG5UfjxRJvW9oki/dJzA5vR5iDiBJ6M507tZ9A jm+WeD1a8TIgdDEf4+iCB712V5vTJPloOddq/x7aJKLY1NIvq/pKGUpyO1ti/VpwTQrupmQ0n5YV zOK2IE66XLdpzRtp00nAHddEy2jPcjAG2U7ind++fXs9XVo5reAgQRNL0Fvg3N5ADY7ZilBMhWs8 OPab5WLem+52Snc3yHy3091udtPbsTr8/XD2uA6J376aJ1bnLw+nw5N3OT28nPUpvOfjC+TFoH/H b/ojrn2ujXYwlUU3q5Hny+H04IX5inifj6evf8FS3tPrXy/Prw9PXvWu3Da5RHdriL6MPO5tnb9c Ds9ewqkx2JX/b6KCFhe9ni+DSPpwemqRDcNo5BhUuovNy5yhR0w8uHYWJZW8qST0hEAjdfvfUWgN A0eF66lG1nXA/ukZY954ejvzfg6Pp8MW/vzSXxOiB+ZWAmC+tvzSyDznDkGTxrumEpPFu4LE/J51 uhGKkaQPMU8f9PMjEuhS6hCBgJgrEJnP00EKiMKywQVMf5HpOKhbSW9pdPDkk5ik9jtTCKx1484Z A59kFjMMVgb7lCSdXoNbMDWF18y8C0+VgA82ozbM/qFFGlcPx+vSG4TFrQI+uRFvcARlPf7xpn9O I/86Xh6/eOT0+OV4OTzqh1YWuROCB5CoJJvlkt3sdsMt35ZqdIN7j95c9QOLvPgB8vF0/CNUk2l5 My5v5j9Cu3h/Rp8mpQyxFg7wX0fcTqBTGxyFaruecqeD227vAsL/IBM6uBrq+ECsXslau5JITA25 2sZQpofVgawVK2WydcGfuaVHmugNo08SzYvU7s+E9F7jHQsInBTWt6LpDqesXejKFVaOtEhAT5zK zFoul7OJ+30+7n4vk7jXcrQmzGiEvnW3yFICV5nwgUmW01ssXoAbcR/2WEO0wetWoBuGRiVzf3dg jZMkkQVa+7GJGLsbGq/Mid8fv+FkYPiW3+NSkEf7mPvXKJtzDyCDxXCilqPpTg+y4twkqAGtbANo t/KZhg9Ittgw/W41wrxKQMA/QcjiLHOn79EFxbpwbAMoB0UjLmzDId2SrLtFmehHl+jyjVJ1h4Au LbS5GzoU4JeLd/Cc5nEhBxYVTJuedXfN1BSdSY9T7TkUG492mBbEEDwwNR6Nx9TlSKWLLizkOxZ0 yCCv1J0xn9hNnAoKx0iKHQ41mTnk410s2OEi5ZVNaQWh2guo++3tPME6QHnMLTee5+4X/bMw/TTK BQb67aLd0dbA6umPk9UCNMlzPMI3SP2GpBt9tfiMdWcjunSIE1dVRaUsDkvnaDKOHNZorHn2pSsC Az8eMjT6FQmeWxm0CXj0p37wr2Pjf5+PTwcP8qgmeDRUh8OT/rHu68lgmm4veXr4BgF8P8zcOnET GBQmFIEMNuKprl91mggu8kdKndFWcrzppwvA+tkhXv/0Z9MheD+/arGCJsDUgYQUkGEH2WQDmU5U Wj5U39sKnt2vd1FluoE0FFPimlsIc90uXQvOOcruYS5fSXSNGhPe+Qz5YaOGDmXlQk12A6+qtzEk 1fhlb3nIB378RLfjoXf/AszcrduErlLxF/PAc3vUFfCf++8jf/Eur0B98C5fGiokcN4OtM3bZ3J1 4RSXPy6DtLcz/vLt7TKYJZpiu1Ue0l/LMNR1CbcLW2F0euE8aqjAMidCsrVTYK0wCVGC72qM2U9x Ppye9S818E5/PSwrwAixDVYrMwS/Z3tkH2yDAjt9nwqsfxPF5MA71SsJSKKfDfC01yHoD/ezzhtl 7Jzv4OGYsvvOv0Ni3hpjsVaNzgoaSXB79u+cshCHW8CSBHKxnN0MIRfLxeId3K3N8D52sACHkA6p vUMqxqAe3VkxQlNVTeyOto32iwmEMFMcSfdKybzz6AAhcHoKCL5jM/sUM7PGd04SkNvRdIYvpHHz yQBun5JcZEM7iEiSy4h/d3nGFMcXAE8Xkx2OC4vfuZLF0OIQ/QD/sQqxTbUq0vuBG2BxhiO2RIfY 2+XILrH3CaqrQ/cGJns8Xo7w9N8hpHKO/5LHoUrkeDwbXMx8+e5SPGU79+kbPtt6MVArt6lylpoG 5HcJWQAuQs13I+zFqU1oPgv3Px7p4bfuf/Lg7IjvKMeLFS7Dx9PFcvojm+FqYrQbnUdBjiaZQN8S duggPJi/Mw2gF9+ZJKfub6VsnFTjCfoM2Fkmlzfz0WLX87jV/1PT8RLLZZ4sR7sySzu/snCowOKO Z70ZK6hr1hyMU4yvMH5CxvNRb29kt1jc3E7ByuSK96arL7LMt8IvlMrSHkFCljO3R1Uj8mI6GvjR XevLo0xgXdOaYKd+v+3PbMAm7oGMdeAlWEUpmCqGt140kVZn/lU+oMB1wEXiBGLl67TvkdJwPrqZ AvsS7H8SuRIt54tZd3f5Nil9xnK7YlxhKldSyQ2Km+O4Wr474rKLp7Ndnwk1YjAqcKk6AYFDQxMy dZ7AOmBMhgOxmdzcLGqRvP7EKXo4PZl+Ef+YeTpmdvrAzvNm81X/3fkPkgwYIuO17zZhDBzSoFxi Ol6hq6fKnTF1ufi9cYBLnJ/D1iMF1ageOPcRaBbnFFDyf4xdSZPbOLL+K4o5ueNNh7mIiw59oEhK Yhcp0SS1VF8U6irZVrSq5KiSZ9zz618mwAVLgu6Do6z8ktiRSACZCaH/llGRyrXrKMd17XkhQc+n /f3C19Pb6Ql38tqNunRAsZMc0PitR1NF6zpnx1KSXciu6VionfG+A8XEBTL6ySWKATa6ps3CY9k8 0psrvoPXcKHlohydjrnVjhhDBZSqRHa1Ah2mpg8Y2oBayiHQUAh002XhX/BOibYzSHcF6c0DwAP3 3eWXh+e3y+mqH7q2NUmjKofdz1oeHACEjmeRRCH0DIvOwnuM4NP6RkpEjBEjAuvqiKbG6P5LoBWG cyjSnkWaOR1T51xsMFMQCiH56HAXhNvrr4gBhbUbO7sattNqMnFe1oFt0+cLLQ+shq5tOGeQWOhU mDOqcQ60CaB9YZxpLcrJQ5s6Ws4txz/MgOw2eaMkEI0jAPalgk+BklEcrw+lKhR74B+UNLb9rA4O By1pGDnztEoiokStyP29iZat+b2avcLx83K0H8jW/DqGfY+CVB/wItM82iYYvu832/YcKUqAzkuU TGU/4PnzAS1Ht8ZT3jZh8vaxBRd1fsxLsoYDZBwFNSz1otmTRDZ+VYBO/Iftymp589hGRaIOGitm Ay8dX5LDSDhzV46kBgWlLLIjj6lHRp/Za1YEPYnHTMo2SuCjJoZ/Jb1IQC/lj/OtHnYO9Sf9iE/S eZz4yA6l5PAwSO79+odaOczdvTIcxAHKr2X4Zd736/3y7Xr+Aes8liP+evlGFobd2oB6OPOmtppb a1qKC5whx7rgwRn6+kbXL7e3y/3ry7ucS5QvN1LMh44IKjBFjMREe+0PbX2GSgyNzAL7Tf5E002+ gE4+vNze79e/J+eXP8/PeJ3xseX6FVaOJ2iMX5TyHQ7y/SkSkxTDa7EzesopS+JNFwW5SURsg2K2 lqsJVSQ9thh2iNRACwJaZVmsflE9uNQ5DeuiFWyU5pk4Rxk5K5pUS6ferv3sWDp7+pAPWbhQMsJV HOmRgdIfoG++wjoNHB9hzEBHndrrJE3jYQ2gW6EKZNDWlyvDSTFwNdGmPoLapZVic//KZ0NbBGG8 SMfFTtyb11eG4+CeBUfrT1jmpM+QcuwIP41uE4jBtpNLR64twp6rOL1j+8W31/vb7XqF/xJH3/gp X3QM6bITWEF6A2keF07oehrRdw+H46qWbf0QUq+JGRH2x2m1yB9lcqeIydS0RANFmZYVCiEvAuuY 56XaariEmQ6lOzyhN6kIN9nxk1alDdqTgzL4oJCrTL4HQyJMVgcv/sn5igyVljzoPmFW+5ajkFfq b2hu7dvteqqTfIXUpMsq4ieaKtWxjvUij2RXJwk1XHojzwHvAtUPRyQCg0HNryP4wyw/6XQHSSuX ONl3tv79uC/fbvfb0+3aTgBxr4RtUWbSpROrWJ76zkG2pQYNgdIMaqEd4Ye0OPODiDqbPPVTrjfL Y+TrBW1oh/JgArhgd9+WZa0vwWUp7aTLUTehdVMihybZkNZmT+YA8y5DL5UHpt2o+bUg282S9gs9 i+4uMGB4dCbWtA37fXvTluyyKaG0t6e/iLJCBW0vDDF6XyzMvqQMXX9qqRYyMjvMQeoKe293xbJ/ /e+l1SKGwTNc99qtlAVx4UwN1u4DU3GgT8fEZOy9vgq1haivp/+IZy/wWZ2jRTFaBAqaaU+vFZW0 B7C0Vmgqy8BjU2fyciq+MQPnpx+7NlFoBrjGVF33GFfGZuz5Ap+6v5E4QsuUSRDSl0QiT5hadGjb nmn+yVGjFnZjcLOHvsag6+JiJ1JVh8sSzdQQFxqsgBXX6qnDviOtG06l7VEiXGUf2xb4OYtNlF9i EFakjl7PJQHVkbFBfhiOS/ok8VKUajORwSPyxNu9wJpaRkT4BiXsEtq6O3DXEfgmnFkEkJdh4ARi 7YZP1tGS3DwKidpTT7x17xBomantHahkQe90pwHZZh0Lv0giTVO7Nlhu8mSRyQs4H29mEwqORzv6 NHW1LwyXGUwakcEH9xjOJdkI47qjqIEAOvJ6s48eN+zahUnC/en+9PX59mXEdAPjSPQJUKeo/D5E L0t7GaIDRbpeOPa8iKkK8FmoA+1BjAAMB7z7sfJVa6/x7ZBIkt1P6WSmhBH0up6LgV65NnR7vTy9 T+rL9QIqyWR+evrr2/UkOenUczkJtBtD8zMxLQKWVCWkw/bRcBWNsGnjApuGSCv1/O12en66vQwx AaNiHgkxN+JC2oizRFiZ643BKg85uCXWEe3Wj3FBxQLkbK0oHg5JPn9/fUKjMKPdc7FIlBGNlKh2 AzlIRUd1aM0BNM74GCWl5zm01MTvoYzezDpQe3mW/KF0rIOaKb4ucUxJ1Q3zZFJY2Ez1RFHyYjrt ZJK2HAJdOrnq6Z5aGqT6lLaAIN4pH8StnkDUM+4AxQ4EoVXmTx2b1YXS4xs8LKizWFI9mKsCjiLt Mynph7QoSRduBPnNvSWXkxO1lmBknzSgYbXTVpCWGgR+6FPUmatRYWEL1HwZ2aH9Z3p8RplEDGio 5NRJzYGc/nFQrpWREcWaTBHW5WEudJfjUWIKM9oyGC/kWWax13ikqQlDH0JLqUYrjmVincbE/K6z aeAfNGc4BhWewfCIo+QuKpofPMvS0ovmeOlkPmliKTZFSUb9QOwRAwWrJWyyY1S4rndA8xeljQW2 vHRnU2VMoU4UKi3EzR4kvRS0FNvySNswzRKGlahVa7SSIt2xTYOxhUMisdDXBCHQYW4avMyafT4F bdTc1MDgg85psvbDDPa57QQuMVrywvVcpSWb2PXCmV7IgjRpYuK9yv7YrCP1i5ZssKcUOTQJui88 23LUBJFqUxomB1E46J+EU4O238KubbYYEVjok7iOwbPU8jONTFt6WCGF060+CIlY7p5oVFAGDu4D s9vkTSQGeR0YMBj1lt2YruttIe7dBh6Mx8HeihG5iOK0iwjZVANXFDdhKLtB6jyJ54qyWkDW8Kek 8+e6y3jCnaaht2WnTlDtzDSFn9SLqw2juQOLY1uG3JXYYEIfRmvP9X6SdFbnM9fyqLQB8p3AjigM RWVgGxGHRmB7SbYhIh5ZBlX8CgiXJxQkaBJEsyAK0vInvYLLvj+djbYd4/HJfhlUERqSw0koYEA7 6ihcs/BnhesUJzoFpkD9PInQIjuz00Vl2S/jQeiaIFDIKKhfWXVknhkAxVRVRLjSNFrHcrH9I1Xe SBDQPWWrNOCKTiUAvWZFpFo7RRlZ4wIHeWqbnGG1V4SBT44tWPE923fJtkUtwXHp4crVEYfsLl2B UbGZOU3H1AYcnZIBuWQmRbEZUL4YjiagrotFmmSR8CLksO19OT9fTpOn2xvhhsS/iqOCxd9Qn5Pk KKwv+ABdszMxJNkya9Ccx8jBIsWawDqpBGjQJPiXcYdRugQv/YaIupAl6UYOA8tJu2kO+97tHGNk RaIONcBiITi1D/pLlIFzcKWiyNY4QaL1UrQBYFkWaeHwZ1PUIs23C0eRNQMdw9SIISYHhL9EhA+H CEdhu7m27WiaMs7a6DDUsRp8go9RRElUsiezbF+E2uAXvGa9+UfBRhRxoQ5V7U0dKI85ga1vEM6l dsTQXsxYKI/ksAqcqfW2B7FRHpcOtZHX+X4v0+V4SsWCUr7bYh2cY4pvkFSlOZH08Lje1MaHNVrm 1XGX0rE0OEOVrtM6qo+7uqTkKWeC7d+uVEdOS1UvI7DV2S3D0ORKlrsM/o4UqesUTEWxTeLHlFy8 nJ8nRRF/xCPGzvhDvLstuFMrGoDr870z/CAm/SAnmTTpRuxIKbqIOZMPfRidXzrvZqFEONAxgk7S 7OS51BJVZ81O7KCvrGBxyzJ/ur284AkjD1M4PNIhVj6L1tCWPDdhPp1eny7X6+nt78G06f79Ff7+ G+r2+n7D/1ycp39PPr/dXu/n1+d36R2XbgGYQ7syQy7+IJFuofP6dHtmqT6fu/+16bOHvG7Mdubr +foN/qD9VH/1HX1/vtyEr751r4DxD18uP6RmbcfiDt+p2eiDrUmiYEoaUvX4LBQvhlpyGvlT24tJ uqOxF3XpTi2NHNeeO/X0QiE9dx3KeKHNJt+5jhVlsePO1US3SWS74oUVJ8NKHYgRvAaqO9PWn9IJ 6qI8qPR6s348zpvFkWOsO9AbvusMSQi3wigCBSPUun93eT7fxO/UlS6wQ625ONmlyL41pcih3g7z JrS1CgPR8wmi7+ud81BbtkOdH7VdnYc+lEdUH/umgE2wVilOPlByHIDZiNDdlZ49JT5kAKm39Xhg WVrDNHsntKZEcvsZbMBH5DFjoJwBu8F0cB02JYSex5l6kiYyOXYCO6AU2HaWHByPT00h4fPraHIj HcfwUJshbNAF9FgMiLmLgDul9kQCPnPpDz3ylKTDZ7CrmxMfPoQhGRi/7Z5VHTpW30zx6QWj4nFZ q7vktEnCcrJGe9FcrfcGxrYuDpGqt9FmN/M9jbqrfd8hxlnRzAprRBIDXlquTX7YWIYD8p5jZ400 LcNdbUbUleVaZexqVVhvNmvLJqHCKzY5odTU3oMfmQU6gzXJBtRpGi8p4eA9ePNoMZJeHLiF23X6 4np6/0qFme2GVmn73tgcj2rXn3rm8uN5tK81BlB9FkNAmKCXF1iw/3PG8I/9uq5kti0TGGOuTQcq FHnku5hBPfjI8wI16Nsb6AZ429rlpS1Pgeeshj3F5f3pfMVL7dv3d1X9UKdV4FrEPC48J5jpL1zU rXLzHV+ChfK8356OT3wuPisxIbkO1WzXgwFu/P39fnu5/O88aXYTro+R/GhmXYq37CIGukzoiGcJ GijdosigDahtRGdhKB/hi3AaeYFPzT6dK6BzKOpMct2XsMaxDoZyI+ZbpoIxlB71Cpvj08eZCpsS cJBg+oQxsgw9cIgdywlNmCf5tcrY1IgVhxw+9OoxNNA2FS0aT6d1KA9xCY8Ojk3eF+hDxzbUaxFD v9qmHBhKrQgakzs2bm3HlEE6pW3s5PRBzTA1bxg2NfSaY8h+G834uCVzrzPH9mjrLJEta2Y26W0h MlWwxpv68ZC7ll0taPRTYSc2NCHTlEVZ836ewO5zsui2ed3+i53mvd9Bg8N4th/eT3cQmJf7+Zdh RyhvautmboUzQeduib5yKszJO2tm/TAcEQHqgwr9Q04KOiGpXdvqVzulhE8sNtP/TWC7DYvBHf03 5bJKJUiqA2WMjlAnBWMnSbSCZ+pc4OFTd/Nf63/SSKDMTqXdQU90XDWvonENAT0Q/SOHdnUpfXxA 1c7wVra0a+26wglDvYfmPj1p+o9mM6JbfeUGmOh2M46Lk0UaXnT9YlnyTUz3lUMuPIju0to+iBYu 7JN2xiXtS1pyegzkPTVSFsjzoH8a+bax1XiSPtH5dqB0Cgyzg546yiBT4jA3pOWBjaB56EdqhrwZ g956HcduM/lgnDZisUpY//XJjFRKcLXVQwtnrc5AdIjRKT8N2E5Ugws8gLk/pa2Ph4qKkU6Quj40 PtHpMNk8agnqJpPrKUMoyebY4MWcJsdaPbI5WnqbjsVbuCQ+m5nnYVvFUC5DtJhZtiZO0tg8MleJ M8vV/oDJ6vqB2nOJA0tQpSZeNbkTkjbZA6qmj6JUkztRbVvOcaE/oIHDNG6lvHGA4mQPHX1Gs2Zy xgeK4xKCkVms8A1HU0P269vb/eskesHnYU6vHx9ub+fT66QZ5s7HmC1DSbMbWXxgDMJWnXZtQnxT ebZDbmQ71FZbcx7D1szWap4vk8Z1SVtBAfbktPIl9Iw+zXF+WtRNPuu3beg52uTl1CO0xuhneFtA CAO7l1FZnfxzITVzbGIWhdbIwsMEpWNR10dsgMRof9JrTsnly+V+uoqaBmz1rn+3O7aPZZ7LRZIO WIYlBkoFgtiw/jCQ2mCmcecp1u30WUxVpoLI2YLodGeHx9+V3l3PS8cmaMqIQrOVqTo0GFH9mhM1 gYO7UHrbxVcNs26TL+twmdOWpj1uCDjPcm7moC0axRHMd9/3FPUyOzie5Sl3MpBKBYuuvlygiHX1 U4nmdru+YxBQ6Jnz9fZt8nr+74gOyh6LIWTd8u307Sva4Csebsnl7fx0n1SQGAig1y+T4vR6+sLO FIaEK903bPF2ejlP/vz++TO686pngQthCeuDx8LWQQhuswDJXyT4SpzYEEBNDIa2AM03GwwVXkcj d+qY7gKvvvK8SuNGzhD/bcpHKE2kAVkRLdN5njVKeRCr0h0GlUvzGl/AwmeI6Zzx1SkyZwTInBEQ cx6QxaZKs+X6mK5hy7WWoPmmWQ10qYWyZQuY2hCyafKUYFJqIV3bY7eki7TCR6rkuzBk3y2jPJub MiyiGMOf0e48WOQofjC7yWMCGBmaB3igpClwNFnO2q99yFUfoF+7sAzEnT92MRF0R6ifGLASfuNr yV2YBKkdYDvsHkiPCCxjoTUcko5RHKfyK6kiS+dARafZWnoqyRZpU23Wm8IwRlnc+HqVpupAj7ab 44M9MygRWEF2QkiifSce8zgZvfyGwcIeLdIkSnx7fb9d2RM+366n7hJZN/nhIi5Wo7lIZPibb4s1 WoNYNEO12de/+UK8p0UVFSl/gG0sFE+TCVn3H+ebJWUpXeMbMSIfIxw3dW0y3a7XgoiEH8fODVog leLj00ioon2RJZlMrNNPW3zMo9LIvCWkYq3R9ucANYeikb3W5juK9zmOcskWOXQTdAPoCKNftnJC sHs5FF/slZ8ylVFD+B5WCNmypCd1X6uJYtUP1XZtDnwxdAO2g/r9psxdjNyHmLFlgGn6U6Z6Hu3T UY602NrWg63yiF1dbqeWrQaSwjbQDWsY2fCsEmJRvtmUSv/Agq8Nx6Ipo5025pran5qGAI/OtLV9 T4ob15dfmRQwXIpo7Rz66IGr5Fd2oyMYr2Cy6miKmsCNHfEYWKQeG/R1bTByCIuWNUWdX65E93aV ucsMzoBcGMA4LXRhuMoSKkjcSjZvGsIO0ewsMlJG2ZXhg3SbVZzJ6oDYP+zJuhE5vt1Tj/4U8ikF /Bx7NwHQOH9YKquBhKfFPE0SUDuYNZaJq4yqaL3B9/tAP1lnutEQt+fiJl3Ca2qyBy9aZRnDl2E2 6ouYWtLsFbfxODeYTp2syBgsiLGALqtabUWDMwq27144nme/j1kivYnUUsu8WRRa7+xbcz9j6scH V05qC8XP/GqTS1cbBYs3r1MUP9bzy+3t7/p+efqL0sX6j7brOlqk6CW+JWaHmIq5yds01+m+ezG4 W63hFwy8qO4vb4Gie9MyNuYuZSnf9j5UgwLQkmHTSo4ehrPYZe4IA/NyowRii3oeM+tv37hQMXEP PRBdgug7GjH05NumjhyElC/DUB05ekBP98lrJwb3zlPyV9xZx/SR6gTcEmPbmdZW6OllIL0DGEQ6 YDFknjihRZ3YMlRzm2DUJo7QBJ8aC55H3UYxdNM4ljqoRMdVZVCy05g/r5fXvz7Yv7CnbqrlnOGQ /nfcuU9qdFE/XdlK0Jtfwg/2fs2y+EUZ1nOMnFRopeY+mtp8w5yat8uXL/r8aKpsuZTsn0XyUYvi I6GbdVqvDM/eSoyrFMTyPI2oDb/E2O9DjHnGhgcAJSbY7EbbHPRPvS0u3+54HPs+ufMGGbpgfb5/ vuDLoXiY9vnyZfIB2+1+evtyvqvt37cPhinGoESG9uOeDZLexJ6RJauAW0mMYJDBok4+3tXER/6K mkDo5KBAWsXNBkaCTMR3+DarmORsn8/+7V9v9yfrXyKDJPyBYHi8BVlBXV9gLgt679CzoNo/zkGH nWTFqXZsEe8PgUF3wlIRS1HH3gbAH0kwqW1XlgAiEtDhegQWP6BkzsDgOvIVVoesHovQI+MXdBya i15Lx0d5Z6IAEgDVTV+CaMe2gUN3a2sx5o012hCdR9tIBlXtxW5AtkVW57ZjjZWOczgjXxsMKjqm A7KMZKA5yHX0GMS6E5BAKK3PEuCbAMuIhARQTO0mpHqa0Y/7pKEaZP7Jdai9cz+HKO+vFqtBN5pZ lMFfx7EoXNu1yGFygFqQ3ncDg+V4enXSwrUcctxWO0Bm8di4qr0huDmo2bJAINptZmhnyc1bFA5E gZE+JdJhdGKwIH1Gz1iYyo4OVLNA1uikWTQdn4xM6FCKqDyoifJXhyn0IFHOuAxmXtfM5fV0B53m Zbytoc7O/zd2bMtt47r3/YrMedqdOe3ErtOmD32gJMpirVspKnHyoklTb5rZTZxJ7Nn07w8B6sIL lD0z7bgFQPEGggBIAnZ4EQt+tiD7BpiZ26gWyafV2wJ3uTqlZtJTQR04McON2iw+KUaJ39W5ovoF 8A/ElwB+9pnqb9EUH5czJse0llf/Ilbrs5hmFVg65CvOHu/HQbC4YwikgtO9f3wHatebkw35f6Ub Lnj6HKMyh06sNUTqCWVReUEZtmPJauv4wEZR32dPHl0x5gou3QFta0+ZyqczsxEaOkDMwVvBwnMz bW0nGBbKeU7ZQy0PVQYAjuneA6ijLLbJXIJIiH7cZXWEZeYpGH6hq2uSBCLW8oRMiArvO71wr2VU p2zrxfwHOl6uzTmgBRujWGSsLHneuNgqHaYHao/HeKaTLmzymG5ns9ZruO/OGYq220Q0dc6sIImt nbelhXwpPc8K6Th7AZXAE0ODok9AdM+ox6X9VffnA7xtId6m6mL664UXlKW/fH77vH/Z/3k4yX49 7Z7fXZzcHXcvBzLPhGJ6sEN+BC/l740JT149YhT2P6bAZ4FXBWJT4bnYb07Sm+bp/hHjpXrJ4GME Nvvj8y15CGfS69WCfCXNRB5Vbvafqihayj1p7Izdw/6wg9d9VFWN4nikWGjB55kSpvTTw8ud3/7/ d3TGWmp8Kp1K0gnPtypGF85vfchxCIoXhBZ0iIkYXBPCC7jVI3yFtAdLBWEsWABvirOzU+c6clFJ 55hIkOGA6kvrOAryQaEN54KsYNrTCGk4yI9UUa4awPpBnwCGziX7rRUAh6fGqrYieunlB4nXnQ7U LN7MRDnHgJTuW/xJzBUhm0Cm6+b43YTqn2ar38bcHNX6P8Oj6kLUwjz3mNDo8u1rDuIGT0WT2hQk Gg9ZqzcQVqltoiX1CYhJWHMmFx8Wp9AGMrm3S7jqCd1uDFuj93WRrU4/Qe3UZyGgpxt+LR5Tuaf3 f+/6fAfuqXwD4RjFtmPxzOG4yHkHsZQFma4+bcpKidRqfeIDhAFgLKQJmjKf7ltbKccFgwBIWw9O NIzVJ1MWz6T+gGPIvsQlkyXdWoP3TiUNUElu7Yzf0kJ1FwsfsPRKxcq6HQZvqdNm1dmLMtWd7tzD 03guo2x1AfELrro03K3im9ufO2/eYhZnocu+ftkdf+xP/tTTPc32OEZ6M3Ebg6DNbAA0RIOzUlHx XhFbszXI+VIYT2+P2nBZ2uMwyKrxy6qoZxxQWbvWMx7hh4lKzY9mW/vzkFMRORW8Z7xwauKxvKpV N1Nbk0C68Dls3Sj6/oBmystKbubqLPNwDje758fd3yc/b24h7/Sw4T093z8e/sLXtj8edi93VigA l7c36OOltm3eNDAHebXO+YXe3Xunqp1kCy909Z9JuGYySpHsLww4rsR4//CkWekdRIc50Tx4+5d5 w39r4ETkAl5CvmNcg1bCMWsXNPii1RJQM7B9lIVXQ7Dkl+Xp6nzkHSVFrRVN2PEKJwASS/BbGuXo hiXkpgbiqMrJe6F4BcHmn0x/SmuJfoMMYcNjCN0ATFZAFF5rxcs4g5zgqm96XaGQavwu9XDHbjFt qGSse8zZpqtDn/mol60FrkJUgUPg6EU3Q/vl9HXhdgAWI6b0sA71tBr0/Xh3ZzjRaxWsPJbnM+5f Q1NFX/WwzKypvI0GMurqG+LhclLjD/VFEUL0H4ayjkDJyAcabQoPp63pxaDuZjK10N6ApE3z6jKY aQ/p9RnSLn8L1jUO5Emu9e7jk1kc2c3jnX1+ozfPttbfUHrE3OMwWJdwpl5gWOuesGaloCLLzBN3 Fyxv9cRPvYGqtCQttaBljcPRhlVGFEoViMC9WJ6GFU1kWM/0nVmSvikjBxogxD9xLjo6YLrM0DD7 GojmguSNiw7jV7XhpzJZKdAcaFL8FPIgxaBYD3ID3NgYxcK0e8FxWxcUN4d4YIGNq+vk95feVHv5 78nD8bB73el/7A6379+//yNcepBWrlV8y+flVlOLsk+F4RX+t5JMVSDgm5zzOizd63hwD0yLvDwF q536FubV0HysWsmHQ55RUusRwwyZ4ec3RmLMNk7/nS6FuQ0TbvjxXkgJRLwhohp65g0SlU/heQY8 mljyhJdKMGI3l3FLi9BGLwut82n8IPaJLtPDB2U8jOUkcnGQUBPFPWViaVq9lcB05Pm4jpYLp55+ lgaFpR+OjksJcS/Lr2bTs/V1kBs2YtJFmcibnFE2CaCMiogbil8K77lIuM84M5NerePWTR8ta02j jK9URXkxca/OWDOKem09KrRJ8MK4WeMNIfRpQqIG3GXStjQtxQGW3h40YteS1VlAY5LLDoluDJ8d H1H3UruXg8dpyAawBvR+MHOZKhrWI67o4F7VwA8RGD8eMxph8XE1ygJH/kHVMDLlmrox7tJtNKGq yMDQyMh6UjLFnMwDiMiYnf4qakWuZX8VNzIOmjK8fZiro0Wl1/4YqCZdwhTE55KyrV1mbxjcwCa4 QVZQhtoyeAz5GYdpa3a3x+f7w69QP95w+8Qf/jcldhy2MT2celoxPRO/gkF2DZoSLRqeYGly3PGz vZxEC2+OUDe7lUJdgTO1QecMsvubtHTvEeXo1MDwmJyy1E2F9YPLB+UAc4zFQSmZGmM74X3sl/+M Nx9wHMYUU/Hzr6fD3gSw3A+RyaaBN8SQns+56eyAlyFcWwYkMCSN8k0s6sxe0D4mLOQyuQUMSaWd UW+ChYQ1MFQI7jPYzMGdE/seBbNG8oJbtEtEg5bYnM7Qk6/TxfK8aPOgCWWbh0AwsPXO0PIAgz8J 0d7CYOZbwFqV6fUzsAw7Hn7utIC9vYEwgPzxFlgIYtH8cw9vRV9e9rf3iEpuDjcBK8X2A4GhiwSs 4d/EGMMvQg/9w/6H688ZPhlRmv+AVOHkxbYR1cN4HAWwXF4SfBLFAXCrxtuaGYQkGlrqVeuckw1s a4B+n7ZvdurCFBpeZ+ptLqxMxh+WYXUIpqBqcZqINJwacq0VyYqAnYUwEWeM5/BL9FEWiWbt+V4C 3n2XOyGWZ3TomoniA3k6PHBXxhYhy2VsacfLm8BnC2qhG3qtJNHpbHsqtZaLz/Qp+LBm6zM38IXh 8funn85ZyyhHQ+ZlZRsJAizjFdHuSBvqM++2Bn5gBc9zwUJGYeCB8i75WriQBQAajmlCdCLF3wC8 ydg1o+RWo00MNpMEaBQi/A25puV07dxuHGaMhx1Xl1WfK4yET2MyegD7CF3B/OmtGXRuokPX3kNF TxhdV0Ht+XW4DjUsG4WDvHn8sX84KY8P33fPJ2uTS9K0yq8d7npqC0iSZwBD22UE3qKyDScUMBkl 4AyGkiKIoeQzIAIgGhOUFjIg6EpGbDOnaECxrk9O6g9KdklZRc1VAe8YBeqInbqygwRbyLqN8p6m aSOXzMJB7uNONhbPbc9OP3fayAHzEjzBHZrHVsvrTdx8Gp3YNNaYEdx9SyfWoFfW3JxQXXBpahAz aesiUTLZZ5tPAwmV339/hoi6z/ujNrPsDQ9eJHG4QmD1eDh81MpyGWudNpVV4R1vDSQl19aHEva9 ivHoMhZwwG4f2A0o4ayPWGsaQjmLO158dCnCPU9/RWk73wF98GS/Boz2HblUkEDPLo+uzomiBkPf vO1JmLyce3dkKCLyMoLGWUfwWpqESkDstAiiBytj5Rt7ahhMyuBlZVIVVt+nz4LgghXUyzUbOkm7 oVXXFdalrabGhSacgq9Iai3iaDj5le01gO2OG0i3PacCSvVIPBquqWKCkS8Deyyz885OMJW1dvCc HgGerziARvHXAOYO+dTNLroWtuFiYfJr5zLThNhez9BX4bIibE/FtcLLgW0oWLcpahIeFSQ4bSw4 a5oqFloiaTuYSWn7H8APpZc+L3wQvsZ1RAK6rJy+f7NMpVJzpL3rjF6u0X2Dk5ziIT+0xCLVQs3J bBTn151itulQycTVdpOE8mYWtXCeO8ADQcnXQotHq89pVaowtQNAG4/o/PU8gNjyDkEfX+3UIAgq RCm61atzMX6gpXWrcbgaTLcqnK3jfw7FLsO41gAA --===============4404198222209588774==--