From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============1095898130022304351==" MIME-Version: 1.0 From: kbuild test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH] KVM: x86: enable dirty log gradually in small chunks Date: Thu, 20 Feb 2020 14:05:48 +0800 Message-ID: <202002201436.vITYAPtE%lkp@intel.com> In-Reply-To: <20200218110013.15640-1-jianjay.zhou@huawei.com> List-Id: --===============1095898130022304351== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Jay, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on kvm/linux-next] [also build test WARNING on vhost/linux-next v5.6-rc2 next-20200219] [if your patch is applied to the wrong git tree, please drop us a note to h= elp improve the system. BTW, we also suggest to use '--base' option to specify = the base tree in git format-patch, please see https://stackoverflow.com/a/37406= 982] url: https://github.com/0day-ci/linux/commits/Jay-Zhou/KVM-x86-enable-di= rty-log-gradually-in-small-chunks/20200220-052018 base: https://git.kernel.org/pub/scm/virt/kvm/kvm.git linux-next config: s390-debug_defconfig (attached as .config) compiler: s390-linux-gcc (GCC) 7.5.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # save the attached .config to linux build tree GCC_VERSION=3D7.5.0 make.cross ARCH=3Ds390 = If you fix the issue, kindly add following tag Reported-by: kbuild test robot All warnings (new ones prefixed by >>): arch/s390/kvm/../../../virt/kvm/kvm_main.c: In function 'kvm_create_dirt= y_bitmap': >> arch/s390/kvm/../../../virt/kvm/kvm_main.c:874:5: warning: "CONFIG_KVM_G= ENERIC_DIRTYLOG_READ_PROTECT" is not defined, evaluates to 0 [-Wundef] #if CONFIG_KVM_GENERIC_DIRTYLOG_READ_PROTECT ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ vim +/CONFIG_KVM_GENERIC_DIRTYLOG_READ_PROTECT +874 arch/s390/kvm/../../../= virt/kvm/kvm_main.c 860 = 861 /* 862 * Allocation size is twice as large as the actual dirty bitmap size. 863 * See x86's kvm_vm_ioctl_get_dirty_log() why this is needed. 864 */ 865 static int kvm_create_dirty_bitmap(struct kvm *kvm, 866 struct kvm_memory_slot *memslot) 867 { 868 unsigned long dirty_bytes =3D 2 * kvm_dirty_bitmap_bytes(memslot); 869 = 870 memslot->dirty_bitmap =3D kvzalloc(dirty_bytes, GFP_KERNEL_ACCOUNT); 871 if (!memslot->dirty_bitmap) 872 return -ENOMEM; 873 = > 874 #if CONFIG_KVM_GENERIC_DIRTYLOG_READ_PROTECT 875 if (kvm->manual_dirty_log_protect) 876 kvm_set_first_dirty_bitmap(memslot); 877 #endif 878 = 879 return 0; 880 } 881 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============1095898130022304351== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICPoBTl4AAy5jb25maWcAjDxbc9u20u/9FZr05Zw509aOE7c5Z/wAkqCEiiQYApQsv3BcR0k9 9SUjy+c036//dgFeFiBIpdOJxd3FbYG9g/zxhx8X7PX4/Hh7vL+7fXj4tviyf9ofbo/7T4vP9w/7 /ywSuSikXvBE6J+BOLt/ev37l5eLD2eL9z9f/nz20+HufLHeH572D4v4+enz/ZdXaH3//PTDjz/A /z8C8PErdHT49wIb/fSA7X/6cne3+Mcyjv+5+PXn9z+fAWEsi1QsmzhuhGoAc/WtA8FDs+GVErK4 +vXs/dlZT5uxYtmjzkgXK6YapvJmKbUcOiIIUWSi4CPUllVFk7NdxJu6EIXQgmXihicDoag+NltZ rQdIVIss0SLnjWZRxhslKz1g9ariLIHxUgn/AInCpoYxS8Poh8XL/vj6deAADtvwYtOwatlkIhf6 6uIt8rGdqcxLAcNorvTi/mXx9HzEHrrWmYxZ1rHkzZsQuGE15YqZf6NYpgn9im14s+ZVwbNmeSPK gZxiIsC8DaOym5yFMdc3Uy3kFOJdGFEXyIyKK0V3yJ11zzc6Zco3nwAnPoe/vplvLefR7+bQdEGB vU14yupMNyupdMFyfvXmH0/PT/t/9rumtozslNqpjSjjEQD/xjob4KVU4rrJP9a85mHoqElcSaWa nOey2jVMaxavKLNrxTMRBZbAalAj3m6yKl5ZBI7CMjKMBzViAxK4eHn94+Xby3H/SMQGBDOROROF K6wW1qwEr3CgHdErvOCViJtcCaScRIy6VSWrFG/b9GvuWpkWPKqXqXL3ev/0afH82Zu/P6ZRJJsR Izp0DIK85hteaNXxQ98/7g8vIZZoEa8bWXC1koTnhWxWN6hGclnQ+QOwhDFkIuLAxtlWIsk4bWOg AeqVWK4aOMdmOZUyTdrlj6Y79AYnn+elhl4LHhSTjmAjs7rQrNoFhm5pyDluG8US2ozAwjDBGqqy /kXfvvy1OMIUF7cw3Zfj7fFlcXt39/z6dLx/+jKwdiMq6LGsGxabfkWxHLoOIJuCabEh0hWpBKYg Y5B1JNPTmGZzQcwJ2A+lmdl9AoIDl7Gd15FBXAdgQrrTHvirRPDIfgdnesUAyxZKZoxytorrhQqc T9iCBnDjvbLAfl7w2PBrOJ0hi6ecHkyfHgh55o6DHQIbs2yQA4IpOAeDyJdxlAml6eF1F+Ja0EgU b4myFWv7Ywwxu0uXJ9Yr8BFAToL2HPtPG7USqb46/5XCkdc5u6b4twMnRaHXYNZT7vdxYTdF3f25 //QKjtni8/72+HrYvxhwu9IAtlfKqK9VXZbg6KimqHPWRAxcsdgRgu+D9zaNF+g8ETMeLytZl+Sc l2zJrRDzaoCCCYqX3qNnBwfYeBSLW8MfIoDZuh3dn02zrYTmEYvXI4yKV7TflImqCWLiVMHyi2Qr Er0i505PkFtoKRI1AlYJ9bFaYAoCcEM51MJX9ZLrLCLwEqw0VSR4LHGgFjPqIeEbEfMRGKhdHdNN mVfpCBiVKT35fc9gLkOiDcaup2GaLBbdHzDDoCQHWI2nkTyjq0OfYVGVA8C10ueCa+cZdiJelxIE CW2ZlhVZvNkm40l3J6VfFBhv2OOEgzKLmQ56chWqa/fEAXeN61/RYAOfWQ69KVlXwPvBQa8Szy8H gOeOA8T1wgFAnW+Dl94zcbUjKdFqukoMAiUJVjOHqKhJZWV2WVY5SLPjGPhkCn6ENthzK40/WIvk /NLxWoEG9H/MjbkGFc/oMbRHqn2wVoLsudtXDqpG4Dlw9gsEI0e72HpdQdfDbmqAohP4Fch0NnKf e//HUcv+c1PkggZkhN88S2EP6MmLGPieaU29w7TW/Np7hNPt8dWC47y8jld0hFLSvpRYFixLySk0 a6AA439SgFo5CpQJcqrA2agrxwKwZCMU73hJmAOdRKyqBNVeayTZ5WoMaRwHuYca9qB8ef5WmTaD V91vK4J/h3ibZVu2U+AsB7YWz4sxUnTJEAA43r9RYQYaPD6wMp4kQV1g9gbFqOn9+sEhi8/PnIjR mOg221LuD5+fD4+3T3f7Bf/v/gkcMgbGO0aXDFzswc+a6NxO2SBhic0mB97IOOgAfueIvQOc2+E6 c012T2V1ZEd2RBChrZ02guZuhJP8YLqJqnVYSDMWCjqxd3c0GSZjOIkK3IzWK3EbARaNK/qETQXS LvPJSQyEK1YlELslYdJVnaYZt66N4T4DKzOxAuPuQeSJOSlHO2qeG+uImTCRirhzvQeznorMkUCj QY1hc0IzNyHVS2VOHOcbCM0a1+2AWUV4wotEMDIsBqpgAztHkcxYg/9kZjDGdWHuasshggwgHN1I gL3EN2ZZrs5dAouI+nHc11YIYAMM/wkZph4MsRM6C4ntwO0uXTkVzcdaVOuQC+8OWMN+RNRtURcf zny/QuYwdgqmv18PXY7NM2YgYqA93zt6JAMWgITQSVOQUR/l4flu//LyfFgcv3214RyJAGhvuZn6 zYezsyblTNcVnbdD8eEkRXN+9uEEzfmpTs4/XFKKnv3DPINiNkxyFo0znCM4Pwts7jCzwIR4fB7O NXatLmax76bHw54bXReO04XPneoKdmwIJtnUYie41GInmWTx53ONgUmBFVkcLmi0likGtcgQfy7f RTTBaA2Goy5NCnQEz4krXVQmBLp6P4TTK6nLrDbajqqDhCvMBhaN1CsMLhDghrojahODv2tD8P3D /u64QLrF4/MnKn8mTOZU9cKDcaOvzv4+P7P/kXB91JOrUFSufR2Txz4EHP61D0sqtqXax0I1aMFM LkkIs7qBk3F25eYT374PHwdAXUwcQttPSNJWN1fnQ+3HzmNVYY6TeIH8msfeYwPWz1f/WOuxyLKu lmh0d34rRaMe08ja/KtxTaGQURmYMMQisq0yDX5gC2tkms406Uo043bo+IcDSnQe0DAQH9VMGEMw dIqppZ8zAeZk5vvH58M3vzRlLZnJfoOz1mZTfMvaowcniuJto6500MrVKZoKfm38kVoqVWZgLMs8 aUqNTgeJgyTEzCZDhm6LBEesuvowKFIIkVY7hTMFlaGu3l32FhYcFOum0C0wtcFkV7AcXA6DDbrK DudsweIXGcrOf0xomIQeBOidtC5idN/U1fnb3wYTqMDvcEKseKVilAEqmLCOmmgfzpLckDz2bnkK wVgcbz0IuDKPpDzhzNYsIHl9/Aqwr1+fD0dSqa2YWjVJnZf0ZDm0/dx4jAq3d0Ce/7c/LPLbp9sv +0eIIrwDthIRyJXxYjGKVsI5ZB2WNxjLYS5OjZGOA2yPpYmy0M9e8x11DoFHOrF+tXZrpojKOC9d YoS05mJw/3IjsAYXLlzkcHzWKKNBD7HMnTFG4RH2n2wwx5JM5sr6uY1abz8CG0GJNzyF6EBgXBZ0 Ejrd4O/OkPrZem5ZWXAtkm5bN/eH4+vtw/3/deV/UreRmscaZo+lkRpr6nZ7l3W4il16miPO8+HQ wkMj6nhDdrgsMxMBtXrOB6PoPI6gUgWAmANUNSFH97xZ7UoISlPfLV1v8jEEC4DxalwytxiaQ6Dw ppK1W0XqsaN0CwKZ2hVgvdIwtMG/ga4wWMNI6boxQQVm1NwOUCGEJlhsYNMSc4idpHxPsTH1LjO8 kOOcHpJA9OSmmtzD4EzEaCQyL7MLNQB0JUP2b4M1cdw8otsMaIM5ZA9IO7dUtpxtQ1gIrJYsDpUW zSTMkaUazzv2nWP3+bh/Ob5QKbBrKLaiwOpSlvo3OKgz17Z27oncHu7+vD+Cmwdm+qdP+69ADeK5 eP6K4774itlNGlqfxoVJmxngA3fMVvXgobEfsv4OSr/JWMRpIkLDLsZGu/arG3XRgMynXv52FBCb WQy6qi7giCwLzLbHWBT1FDumrrAAB8LTRG7hZ11xHex8tCALPUEemrzBO9nb4UqDIV05PrVBJuDZ 40kWy1pSg92lM8C4mEJ7e3co4LqCY6NFuuuqAmMCBVrMek8ecssKTHq0XoypBitd1fHoTobKm1wm 7Y0hnyEVX6qG4TFGN6jdF9ChPhvaJKljMjDdiO1DcFOhsX22fsWIqaGjF8IGUsA5BFDg62OgZjMo mKQLorEIfIIElJn9NeK+PRC28jpKttuptufZct54JR5F285e25rAJbIee9+4v6bwZa+odBfBAkRt KvW7aGWWEPoQ41sPD2MtJ1k1BW/v25m9br0DWZmLH17vsxcthvMObOKmcInFitNdoKxNiGyBAQzq HSyYBrbGLlem4ERBvzsPCzLThUE8xmQsOTwyqTPQIqiwsKqDBzSwFIPqAjd/62W5624U6mwslZmw EVGfYSUMzzBzi+4yxDGJImVC3FwIdlUNUy6SixGCxa51bg/CPPbiLcRUTWAzzDo3OSv7AKszxAHY sL8aFKPu4u1qS4pdMyi/ud2BYPMQCr11WsfwLQ/2bMPguNoZR8qa61hufvrj9mX/afGXLZt8PTx/ vn+w94eG62JA1s56KmeMAxiy1iI3XfGqy9fPjNR70hBd4/U38HLi+OrNl3/9y73jiZdrLQ21RA6Q TLkDN/HO5tAyfi30LhjzEGrQxMhFjt5beZIaT79VjUHv6DvdoT4JApuLhU9q1U2NUGG9a7g13J4A ONKNKWjrkeT6gDa/kElqo1tUXQTBtkWPHDK+g6kNZ4TbyVVxf4c3mAYaFuH1TpYWhwrxhMSrkBKM WrHz2elZmrdvg4lrl+b95fQgF7+Fb8m6VO/d3PqYBsRndfXm5c9bGOzNqJfupu3cSFgS2ja5UMpe 4WvvnDQiN7WcUK24APUOinGXRzIbnRhlr6dl4BPSy0WRm7bC2yAQEJp6lKdCEaViJUDXf6wdB3u4 tARKDH1xF4W3SyK1DAIzEY3hGB8uK6GDt1RaVKPPnYxvR4DZtlClu8ODBZNaZ97lwzEWGLUNbo9Z bJ6YhKhxXkI1UyTaRmEWCWlUUrybwMbS5y301OQffWZg7TBV/irwBMiSOQJqE1+3h+M9qqeF/vaV Zvv79FOf56F9MojbioEmyBImrk9QSJWe6iMHe36KRrNKhGlaChHlJJ3mFMXi2Ya5SqRymnY8VQk4 W2rtuf25KGDRqo4CTfAGaiVUc/3bZajHGlqCH8SdbvuJZkl+ggtqOcGD4QZ8Bo7FqS1R9altXTMw RbNc46kIsxtLXZe/neifSFGIqksJeufWUVyjWhqKQP4RM9ojGLriNMGEYJP8tIlyOVw7JcIB7YRs q1Hg+bov7hDkehfREKMDRykV2/Rj0wl5d9NykF1ATt1IHPLjziR7Ae6vrkNgLtzrB8y9ushUce55 kvZtJIgZ8A2haueagymKJlrNEJ3o4/s6cF+LmCTB3PoMGbo7s5OxBPPTaWnmJzQQje5rUlobP83x 2VB8B3pyzgPF5IwdkmkWGrI5FhKC+emcYqFHNMtCcxF6noeW5Hvwk9MmJJOzdmmm+Wjp5hhJKU5M 6RQrfaoRL/HtwhMS0t8YYlpisq7KSfnFhDS2MTgNcltQzQcOIISlE0gzpQncEDDbm5KwDlaWlGK4 XW40Nv97f/d6vP3jYW9eFl2Y24FHorsjUaS5xqTGKEUQQpkJDAiTVCZcA5CbwsYnkyoc3iOAVu3b FETr2x5VXAla8GjB4N/HpLoEXfpFzall0lL5UDAbZ+T7mvgwtnnHxFxHhhjavzhiU0m2+o1BCqcv LpH6+zUWxnkItYF/8v6FhxmK8aDWqOOMmhk8ls4D+JQp3SxpcGO2dI2Fya4tOcV2ifR9IRczuh7g wtvlOE6mS9AdC2mkLeR0Tt4xaO8VaOvj4H2gd16jCEM0x1G1AHvCQ4kxDwb+dsV8MiwMNN5lRMNt liRVo/0bTpGsC5roWytyyrrlm7MA/rLp4+rd2Yf+rsN8xjOEbe9KU6YHyXJ7zzt048sjNxnwmIE7 RvOVHOIgF5ZWwBy3xBM7V1HBVe6q3z6I1m4RCKMzdfUr2dFgUvfGHe6mlJJEIDdRndBi4s1FKrNQ 5Huj7OVqStzd44StAW0cKul3rRo3nodN5VXl1g/MqyLE9026W8WYBl47SXPQ55gM994iXOLLORAR r3JWOddejFcA4oOJ59K8y5FOXnJF01FqbpPfzMlVTmvJQSPSl1S5hiUtK6feh0DuwdQ6Qj3Ii65O ZXRysT/+7/nw1/3Tl7Eyxts9dCj7DBvPloMVwADRDRfxgo0HaZsMYpCFOHOdVqQhPoEELeUwlgGZ l1JIXwZoivQpi8NvwxoSCH+xqi7icFrV0Fg1M9cJ1m6VFvHU/LHsgxd4HulWrPmOzrgFhUbrTqV7 aSM1z3TNSWle+eLB1JpwDogorfWMmXKh/UUZvFDhvugjsA4VgUgIbo9/aJRysMpGPp0XymynLQWj 7+/1uA2vIklvofSYOGNKicSbUVmE7g6a818Kj+OiXKK/w/P62kfgndiCZwH6UBdRJVkyYl3eztN7 JbbHhIjnmFWKXIGjcR4CkgKU2qHFlGvBPVkX5UYLd/p1QlbqHL1U1sED3uIGFk2drYaRq3IGwFVJ R+lgeHcTE/jB4ToiEN04tLHCLsyVJgM0cubvosEEga6+snRxGQIjz3xVZRAV2xrE9EIQC+cNDI0M XYjBAeHnkmYtfVQkiHPdQ+M6orXRHr6FsbZSJoEmK/gVAqsJ+C7KWAC+4UumHK3dYYrN3BIxIDK+ 9LjLLDT+hhcyAN5xesx6sMjAP5UiPLEk9s7SmCROwrs4bEMUypF3/mG3HeTdMIsAH03OtOu6v3pz 9/rH/d0bd+A8ea9EyLEBwb6kSmFz2WprjHZSV0F2OPMJnfBJRRr7tinasCZhIRcMz/PlSMYvQ0J+ OSXlDs1IiHEauSgvne4QKDI22cuk1F+OodiXoxENRAk9GhFgzWUVnDuiiwRCXhPi6V3JvZ0IDuvY EbvSacWPE6gjLHWp0V5aszG9j4ovL5tsaydxggx81XhK55ukfri2V4Y1MzTCDzvhlRXfB+5QEIaZ ghw4D/mEzw6k/l2XHhRQk1ElEvDSh1aP3UezDnv0Yj/fPxz3h9GHtUY9h3zlFoXMEMXasaMtKmW5 AMfeTiLUtiVgVTnTs/3sSKD7Dm8/LDRDkMnlHFqqlKDxfeiiMHGNAzVfxLCuC3UNLAK6SnhIvw+j Ya/2GzHBsZr2UIRQoSND8VgQDbkdDhF+foFGqQ6yf3s3hMQjCVI1gzUHdgJvJMXrWpsr2xIsT1yG MUuahqMIFeuJJuCHZELziWmwnBUJm+B9qssJzOri7cUESlTxBGZwf8N4OBSRkOZrEmECVeRTEyrL ybkqVvAplJhqpEdr1wGRpuD+PLgesidUy6wGVz90+R46K5jLGngObRCC/ekhzOc8wvwVImy0NgTm TIHCqFjinpTWzLiibYF43TVsB3oKtKgnSMYqghBpfCFvyUMFWEQ6+i/t33t3Z2s+plGYL/pNdOPq QQSYz/95vSCDJqdZ8USEPD2zBDbqa8bOIlpGv4NDNok2in0GK3X4U3p2or/ziePXXU51eWGu83jT R+9pcgSbSphem5peGN4Dvw5nVEzPu2KOoEnx2pA5VrMW57o/08bmX5sKw8vi7vnxj/un/Sd8kfP1 wXkplDS19ihgNa/tOZtBK/OahDPm8fbwZX+cGkqzaokBsvl4X7jPlsR8Msd5fyZIZTIh6e4E1fwq CFVnf+cJT0w9UXE5T7HKTuBPTwITs+Z7KvNkEw7RQDAzki/lgdYFfvBmwgceE6cnZ1OknYs3P6w0 Ju07x8UkIlcn12IU3oQmCTKuty6zS4KxTxAYDXCCxtzBniX5rqMLAUuu1EkaiIHxOnPpC/fj7fHu zxk9ovH7m0lSmWAwPIglwk8tTW2HpbDXZ07tRUub1UpPSkJLAw49L6Ykt6Mpimin+RSDBip70+sk VWt056lmdm0g8qOUAFVZz+KNBz5LwDf2C2SzRNO6zRLwuJjHq/n2aJxP823Fs/LEhq/8xO7/d/Zl zW3kvKLv91eo8nBqpirzjffYpyoPVC9Sx725Fy156dLYSqIa2/Kx7O+bnF9/AS7dXMBW7p2qTCIA TbLZJAiAWGwCYXb5tRWWlBXLZ+NrOikX4wsnPWvG3z2N8lkzHyc5OjUZC47gjyw3YY/BbDpjVHns U9Z7ElPbJvDcZ2SMQtxHjZPM1zWs3HGa2+YoR+Iy5ijFcIyM0EQs9YksiiI4xoa44ju+dl2JdISW u76Mdqhu7Y5Q8exrYySjx4skQTf0MYL2/OyzlkVg1H41WAqlKGr8xswMn88uryzoNEGZpUtKh77H GHvIRJobQ+KQaYkG9Qs5DYObjr4j1IjGmkYcMWINm0fNWP+0fVOnsmgICuhi6InGexFjOP+LAzKJ DdFHYnlKNPubL2prBhY1N/L6Xn1Re5MgCCyoVSKlx+mZdCwGHj95e908HzAtBUZJve3v94+Tx/3m YfLX5nHzfI+uAk6KC9GcsF41uiVMR7ShB8HEsUnivAg2N03mAwb5ixNRwN/soPyR7ZFXlTXR3dIF pYFDlAbuF/FeviCyWFDZbGT7U7cHhDkDCec2xFT4BSybe3vCMgBWC/mdEob5TNVz/2TBuu0XzrX2 TDbyTCaeSfIwWpmrbfPy8ri75/xu8mP7+OI+a9i+5GjjoHGWRSRNZ7Lt//6Fa4EYL+gqxu9KLiyT mTiDOIa2/QnFRj2qwaUlDeE/TXtIiP70VoMGAbpdjPQoWjZvGeK+VcKcD6R0U4h0Ri5MTS6cmyXz rMR4wMS1WDqWXASa9mb4RABPyt6QY8ClZjWn4YbIrSOqsr8LIrBNk9oImrzXj/HlrX00oClTlkFn mIKNRw1Vmm7dNTTQdCNKvHr3fJZGnoFIRdI6aAc8MdNKaXYns2JLGwQ6estD4Sw4rEL6wzPfJwTE 8CpDSMnIppa7/t9XY/ue3t9Usj1jf1959veVZ3/TJ7K2vz09qsc9m9KEyx18pU/dlW+XXfm2mYaI 2uTqwoNDJulBoTHFg5qnHgSOWzifewgy3yCpBaOjrQ2soeqKPhCvtGVODNjT3QjT0PGjXOOK3rBX xO668m2vK4L16APw8R6dJi/pAPLx3UQeouROkdfm1pWEvNHPIu/dh6jHwMl8FIF2VemlU74DcRdN xZBoMrm0fFwYLUweDcLSaPF3F05neC0U5GQtDk6hnIq4Tx/30kBXIJ2peOm8IebeJ+xiMTr9sRGM 9aymAd3gROeGZ10V1saPzvBCQ4CThw00QVqdY01G9GzanfBX78luQvX6MByQ2M9Funmq1pudodDV /+pXtLnCkhnISHVeFKUdsi3wi5TlkqHQTjGc4Prk7PRuaHuAdbNFZaTT01DZoqLFhxAOddKUkprK C/ykU/CyhqV0FvHV2SUJT1k5JRHlvPBdL1+lxbJkdOxtEkURvuUlKRbzZScCVPkJf/e+fd+Clvqn jD41yhFJ6i6YajOsgPNmSgDjOnChZZUULpSbFomGK13fUsA6JnqrY+LxJrpLCejUvmOQb0ZzN4WP Gs9trmqW4bv5JxodWoi3CWvH8Mrh8HeUEeRVRUzfnZxWZ1D17fTIqIJ5cRu5Td5R8xkUoe0AjmAM apYYd1bZrecM6h8eRc/n47NeJp4bcI5VTmvuMsSYL2K4VmCAgyfSWgrp+HFzOOy+SX3c3DZBanmd A8BRCCW4CYSm7yC4U+OFC4+XLkxYSiVQAuxiORJquZypzupFSQwBoFfECIABuVC7vFH/3s4FX9+I R4BQJFwY9RVPQaKIU3hWA7bAAiv+h6HnGF4lWBsA4Zh3Sj/FhJPZ1G0gSyqxsY3BIKZmmL7IMyDG VZPG7dj0jFKjjGzHCNFDYofMcOjtlCYPhN+EM1AYpn/ZIwGel6ME8FlH8YG8zxwnarwe2NqrZQUd F9FPauxnOIgXDkkYSHRkMF50E6igsBHWEyexkV87DKiKIGFeY+WnAiunGnIPSGyM52ohHirKKF/U y6TRUy9rQNOXWkcsVvAhNQlJxkK5EEsW7cEpiGhT48ZZJNygmjIRg+fsMFHcTdDsCZeiuccQ0s1q 43jjMJnP1vMNctO0O6/93EVMjtc1D28VzlEfxOuoMao8MKsbKlFdT2dbxbzmop5lZqXjZXYQbI6f 6RRiCPPSOq+wSl+9thLgTu/0H6IUkbHOMJNvU0Us86c5wta5v5m4YzYDICeYRtaRFMvbBvMfWqwm rIqygzWQWCVoer3ZadNC6NGWQ9OBhzexGCal8mlEcXcbUEoRGpoqmYytp14mGVuR7VTxbTJyJt3Q ukXAEuo6I4hKvMmf6hOnYBi40jRrIm2MTYjpH3W+4jEB0PNSuoeW8UI+7koFVCgeh+mPzThrWMsw 3tTe6rC5uNfxEI/NkrRY6FYkUDSbokgV97CSA0TDEhd55bf/3t1vJ+Hr7t9Gwh+REFZPH2T/kCV5 rVpZSYRXkrDPiNdELKuNROsSQhV76nE8cTomFaE/h0GGGTt+iXgomecl7ErSJoCvntXWXPjKFPN5 clLJA7BuWo8iC8ikoFko4oDn+XEgMpPlzWQmBvEJB44/gLsA/ke2qxPV85K66DZIRCUlkWoNmrzf P7+97h+xiOlDv8bkyjvsvj8vN69bTsi9Fer+9tf8EuES9BEmqm573z6D3UznzhrrSvS1edhiQTXA brUhH7Tr6MGt4ihtn7KLfv9+bqLnh5f97tl+XcyBzitOke9iPNg3dfjP7u3+Bz3b5rpbysO8iegy c+Ot6Y0FrKLlzIqVSWiq1EMS9d29ZDaTos8K0D/ZilSvwkeNYpTRoslKM9ufgsG52dIG0QaDJlIj rzEcFbynOKkynoSO1w9WCzfevT79B1cLOifot8bxkqca1SPLMAEM69vB0hX9yHpqkVTbfSuCkkqJ ORCpQ6L/WvZIFa3ImompHI1cOv2UYdLEsEp8Z58kiBaVx6AtCDC/vGymE6lbSGJOJuoSSGKezJ36 VOsa6zxE1SKpC22S+9LrmEG6bQr+PI1etCn8YNMkTRojmh1Tvtdzhkk7pm0cm9oEIuMITgPhL0zu DM/y5Stm+n6YPPCj1KjgrIN7EQYUPZ5qW1+NRUAUh5zlvtSoDb3xClrFBLkVD2VivmW+T0PelSlA 8zZN8QclhIGYamjJ6hnk1XUdwviS8vxsRcuDXytGx4uoVtosos5dhUYFSzOPa1CeXUeED17beJ4e uqCfDaupYZ3A35245UhyvISjsz72M2U+rcD1Lf2RevzqeqRRmCRNLRmA8v1OrygcL012fvbp6loT evFjoboRhAt6QLwOC+5KkBwdnl3/CQf65K/H/f3fciVrJ4s1hFWJo+6nNwzqGlAagNWaSoa/OqfO BYdGwa1NGE+ZBeFasfWcWSUtk1l9bYUbB+XOLf0Vq9pcxkKzW2SRJqso+RygoryHs8IQZeh6SNpn MKFVCSTxqCAc58tHIJD8+pVWIfXBi+xpu8O9wb3UnLZZtkax1nPjwvLGU3+1SeKMTwWxwoHLpkXd wplbI58PzIDCedmBQkNfP/oYhy4zdW5FF0m1wgKsq64OY1vyUTvlzOaSIr9eBIs0MyRB9SYc092c B6srcqqtR7Wupp9OT5wJ4m032382h0nyfHh7fX/i5X0PP+CAf9B8Jx93z7AL4aPtXvCf+oHz//E0 f5zhLfxmEpczNvmmZIqH/X+euXumCIKb/Pa6/Z/33esWOjgLfldyfPL8tn2cZEkw+a/J6/Zx8wa9 EZO1AP5sqYWDN8BIE9oZv7zTtpb4zdUC1OS6qKoKlEICZGXrzyfaZwrm9ILCpIMgKQVYQt2j/XCS qqlXXoo5m7KcdSwh38zYWoKhoglMclLH2ZXnFc8KvcY1S0Lg0E2l2Q2RSudz8IxRDphDHPWfQ7mk Efc5uvhg5ChEGcLfYGX8/XHytnnZfpwE4R+wfn93Ob3Ox4N5JWCNy/fqijwZK8zMEpJVlvvWZkQP ujWXv07PSyw4/Bulfj1an8PTYjaz7s85vA7QlIwSqnsA4hQ1avccrG9Vlwn1dYBxS7DZf8L/Tz1Q s9oLT5NpzSgEr5tllE0VqKrs2xoKWlnvYc3Lkpcy1hxfOVw4VAy35Rw4LYpGlAj3eIngB1jNpueC fpzo4hjRNF+djdBMo7MRpFxw58tuBf/xzeTvaV7WtLsQx0IbNyuPSKsI4Jv48cyrLws0C8aHx5Lg 0+gAkODmCMHNxRhBthh9g2zRZiNfimdWgXUxQlEFmeeWQWxn6P6MxmfRjHFemEdLKweAS+NWj3Np xt+0bM6PEZyNErRxPQ9GFxtIorQAJzpYV7R9EJiBRyoUez9PRrBhtjo/vTkdGVcsLJje444TzUKP 0CqYXDkyL5gjM/HIdxLPTj11icULNtHICq7X2eV5cA17nfY44kR3cAwkQXd6dj3Sz13KfOJ3jz/C utJyrIEwOL+5/Gdks+Cb3HyiHfo5xTL8dHpjTIbRPjc794fG1zgonXOvzI4wnTK7PjnxeQMid47t WdKxstTAk/VQMI/SGvSwOChot0Ec/dyWcOZdFerBZQoKGkO9dMFRRtCytGXOoWgJY4ZiTAwvC13l UYdlITdRhREWVDPAmP6YaTc1AMLZP3Egpy7EJbq4vDJgQ0JMHcrNGGsD5MR8T4VZUZfUOISqwGAS SOnLHwzWm1gyVSDSnbzQsCWFmbcx3khsLihFLutgZCCLz6KKZ1inb76xEVh7ZZXU+l17yO+E6qTm VbJ4tQgd1+Y8ql93TwOoqDmmQ+qclfW8MIHNHBlqVSwSTJArIkH1F+BzSQ+VJ7F3Pk+I6g61NrEx bujWu0f3m6IyQOj9jDZpXkrJwODKMgBfo6owm3PXmQ7tdIdCA1GbsxJGKVvbn7IlSxHjB+DmUd2a 28UpE+lvBxCofoYTew/if8XrrgLZlYdHWuW5BkLLOqB9WuVOoj+EE8m/kcdMng2VmmhDiUqgUtGm 87itLeOj0LmjKJqcnt9cTH6LQSFfwp/fKaU7TqpomfjalsguL2prdEovH+tGu5aGXcztOKYvm1El YFrkoREDzY1L+mziUGYtIzMmRne8RrGVzQm9LsjA23hq0zURo2zKGQsWhr8PAhpmhSPbvl0SoVyF Bnt9lEeeK5BZQ8t60F/tMUfBsOFfdUH6xzWtNmhrwIDrFvwL8IrK5PMLwx1d2kWNQOM8tbL4cTel zFeSqvK4gkdYnzWPjJt9HJswAHTngceCqNGwkJXObSVBBnzf75WhiFJQs5CleoyuOmUT+V4WvexZ 19THu8vYV08jBpXfX0+RwAbIm8QTzqLRVcfnCb9I4fdmVGQtHBpH+xNZ/I5/Q6ALWHh0vpDG55Jh kC2S9mifUsw8SgZS/HEiTCKQ09MR+gIPtOfD4+sXi2r5vT8lUQTHqUf/0am+BvPEczswUM2KYjbi xySp5i1bRrSSo1HhKUf7eH3JjnaRsWoRkbU0dSKgYHmhVQTI0tVFF+nMGwHmBQwHWfUoejJk2Gc6 YwLMpf8sBmy9HEXHdKlE/S2SoPLl+jOpil/5hJywjjxWGZ1w7XEbiiOW5kcXVM6aX+kFIzIqX5k7 k64q8uL4ysiPd7lIwuNssbilG4LTqTi6MWVxiiifJblHztOpo7zG0tHH6IQR4ihVi/cT2VFeV4VH m8IEO010lMNUIMT4LFs6Gfos+x2GJVXNsrrNaRVSJ4sif4yLosFqkiDyHz/j62TMF78nOvqKdVYf nVSQiWC9W37uJGHD9+pRsvb4yNd5UfrMrBpdE83b5uj+OU6xOL69lslXWvrTaMT1q85t5YUsWyUY mEJPdRyGnmu3pCw9V3YhiLJCIyHx5XydJlSkQVlqviHwA2uemunlERhGcWpkhUKgnW4cYVlZWlRc FTYv5QBcGFSN2V1hRqBiK/yaygRx16qmMdSpOk2okOI6nePDmm/Hs3Qp93l3pIF29RQ0gRlyJ+vH qNazekZDhHvTAL+L9Mot+KtLz2yAFlQbBEsVLzVY78bGz99wvj+8/XHYPWwnbT3tLzpxVrbbh+0D FpHjGOVWzx42LxiOPqjSwgXgmdedW+7Qx/0319X+98nbHiZ5O3n7oagI98ulhystshVM5Llvk8FS rhNKeeX6r+P+nS8yQ9daZF1puXHJa/uX9zfvRXSSl62hs3FAF8dYpSv1lewWRBhf4QsCERSiZNyt Ny0JJ8oYVu+1ifjY28P29XEDi2D3DF/r28byW5HPF1gGfHQcX4o1nZFeoKOF5RunwJZ5UptPx53e evY2Wk8L3z2gNu7xQWPCOfogFyQ8EwF9JEmCog3mNYiinps0OZLEcwBWWXJBe6/MN68P3Hck+bOY qAvzgSdFlUcfm7Essr1v+n1ONTq4jhDLWPT5Y/O6ucfdPLg2yd4avbzcQrMqBsLgIqrjiXqItU6p CCgYsNYo0msxLknqAYy1L0OjLBxWNLu57spmrfUqLjO9QOkQeGLOMksxKYPwfPastrz4WvhE+m5W exy70DsWhKeczCCMLqONbn9NeZETvA5B92bNehstRCXOQYmOFreW36c4o7avu82jHTuQ75//uD67 PAE6juZsnbB/yqloWdVg2QP6HkvQfPG8sUTXQZCvPPe1gkJahb40DK2Y9O4zSY+SeYw5El2VnjtO gY7rtEvLY31wqiSP02jlkqpz1vwGTht4ieO4dg1bDe9a8oZaMPOF8gjXtg3AzCJ10jo5bCbNNJsl 3RzWeEpGC8BWq1AVM+6XeiDPpwn8iPY2Hsj6S0wHw2NdtKZZWaaJZQxTHBPLfIk31WzNKwGHA15P tgkvNOM53DsrS3kTwJ/S2DYIWjQY0ORJBQSN8xyRP3WR795ija7Q1+TnZ59Ohm8gfpuMU8L0eikS 5PA9hJ9e2r9dOpDyXGAdpKXZM4fQdIvm7OyEoBZw55l5hivQqIDIyYuY0hDwg6O1PTIlaHSWm/xQ h5Tr1Kee6s4vVlriAg1+eaPd7y6ytJhVYaVD9MSX+IvXT+Xu3kNB3CKvrLxXAOKXU5XV6SJrzUKX SZqufc6Z7jmqCQJyJ1UtRjCWdPU/gwidx0SoiytBnQUUD0cwNS6dXKM+9/BMj7ZYl54zcE5GKpel 4a0MP93bahGUVdaT+8edcMElotrgwSBN8K75lu9yWlUdqPhJeoxoVhJRVziS7xi6snnbGxFtAtuU ME707qdG2ZTd6eX1NV4qB64KIdUiqVCjPJ77inRp+tHm4WGHWhOcKLzjw790B2Z3PNpwkjxoKtp6 iq9uqfWD4kU7sIiAUbagDy6BxcLfnohDFW5apvTV7nzpuyzDC5iMUfbuJebnCAtNJFQQy67dg/Ni ydZG4akeJQ5G4a4papCHBBUmP+irFWlSZE/geHryz7XEegYP+++T8nX7tnva7kEKn+3hEHne21qv bAejs0U33cyMbzUb9EUk89LQ/QSZ3AvtSApFTrm8WBonCpfjeDiwr85XR3piaZJ9Oj057ZahRwO7 Oj85ieqpTaAGkbDZGWw57U1VlOcff20O24dhpgI4cuwAzzIYHR30aXn2qdmtsYZxXSdTU8QCOEE9 xeOHIkeE82mz98e33bf353ueidcROYb5jUOsWB55rh3nTcAjnAPaVJKWIDh67nURV3tw2OsXln+F I7UIPeop0txGWZnSqhQfeHN1fvPJi67CAEQe+qIF8XV26fGzY9PV5YkbLGI+va4DD7NBdIPehOfn l6uuqWEn0OcIJ7zLVtd0ilFEL1bXl1ZeNhXnMPaJNVEgmrWgVtvJLRQ2GHnLCDYGZ7dUjM7sdfPy Y3dPHrVh5WqVDGBEuKYOFnRBOfmNvT/s9pNgX77uAXHYv/5OJH9VLfzSAyLI+HXztJ389f7tG4hW oW2iiKewHvFKWBNWAZYXDdZs0kD67uujmWGy6JUKTcQwxcksx4ipxGORBCrYC5GMWKbPR6BpkjSa gl5t55hxX68Xjoldj2+aVJVHfwRsmdF6Lj64nkbV2YnHXxgIgF2k8JY0JwZ8ktWNF9kuIk9EACDx 3MTV6h12fRqenvsc9vFT+m8uAQu6oheXfLrwvjBaTQtvn5is1cMncLKa9enZ9QjW+6o0R0YMWzBP 6lTEei7hcHaiImO+C1LA3649l2mAOw9j7wwsiiIsCprTIrq5vjrzvk1TJSBGeNeLL3sXX8PeRgPg OknunaNkmnWzVXNx6V/kaKFoGS0X45IYvW1Hgim8tH+hYgo1j58IYkHasfanyk1AMTgRLb+5//tx 9/3H2+S/JmkQurcQw8EdhCKZ09iNHqbbSpPZvBkhVQH54z3Lur/Ph/0jj5F8edz8lDzL1etFeKxj UjDA8HfaZnn9+fqExlfFEo0/PT+vWBaJ9ARuywSyE27maGLLWLU2DgOCuioaZkezjz4QRvALUyY0 7DYqnHQRfaWZ0RnTPmcxK8gWnANck0CLNjcOM3HRAAccsV7m9rmnrhA08t7aDiJvMQ+SDo8weFdx IGrWeMBLgUOfVwS3aZnYJk8NzSpRjqubB6H1qOcJkZlHXG4BEbdnWzZvhJc/fh5296A5p5ufdI6X vCh5g6sgShbkVIy0Y77kjIVODLnSYNelx6ENH6z4bQh3l6ZlucwjgUaZ/2Yrj5YdaLD0gYH54lAZ waQf9CmVwP/zZMpyWi4KUe9AruFquoCCTdFnVRv0Ubx0l8kLhsW67Owo0mFqZEue/gHV1VEaYwC7 z5ucE80jZkdYqTxH5lC1+WlXYVKXKaMnpyXz3y7ipOiSIsta/r21oBSOgVPnLg5NoOEvjER5wRvw tY7L3mw1MyqS9SDJ0wcMJtuarktk9zLmw+gbTkRpb6f2qDTp2zcMWZS3DtAcYg+TN3AO+RQz7+iB JRLuXKirPjPCZJft7l/3h/23t8n858v29Y/F5Pv79vBGZaM6Rjp0OKsi18arlm3DZonHT2tWpGGc 1PRWni/rMslJ62DArXj1/v3V0vbVoUHhdWNLkk4LKrpNLElWajHwAjQwayPdlFiB5eb7ltfiNJKM Wal9fKQaH+E9ySTwNKeRFCKBDK7QZl4V7YzKu8ut8fwB7boCYXgRQsGxxpoE8/FX26f92/YFFE3q MMCcTA3moKAt6MTDotGXp8N3sr0yq9XKpVs0nhRXJND5b/XPw9v2aVI8T4Ifu5ffJ4eX7T3mgtas fELffnrcfwdwvQ+oJUOhxXPQ4PbB+5iLFWLo637zcL9/8j1H4sX986r8M37dbg9whm4nd/vX5M7X yDFSTrv7V7byNeDg/o9IRb95hKF5x07idaEqsFz/+MOr3ePu+R+nTfmQNLQugpb8+NTD/RXyL62C oSueEnIRVx6/0GjVeO1dsOYrjwzgCwZo6HsDTKTj45jl0rUqYaace3gzik87OG1YJS8y4umI30Cg PA5KXJoS12blfA186q8Dn1z9c6msaEhAqk1B1t0WOUOZ7cxLhVc55Yp1Z9d5hpdinksonQrb81Lx SIEucmRAdf9jvI32KF63BB6HsczMHC2mZfv6bf/6tMFUjU/7593b/pX6LmNk2kdgrlzInh9e97sH fcZBuqwKjwaiyDVlKJnmizDJKH+BkK0czwiAWR4zCKJX9ILypZkvMQ2QVWZRkwFoBxjxweyAf6VX uU1qCiVmEyLFjcRjoqrTJPNtBBxHFYjkeSQBd4TyaKjWpZLM8ggMWSw0g80tWJqErIm6uPanfAYc HMTMCKkHrnTWeaQCwJ1buAFzYThRcACmKI4xlAfatFA4rKJOVqD1pC6qr+RkDuzCG1X9ZRpqPeAv O2AGc2tOh9STPWNKYGoAR77VF44YxOAv9Ki/eEaMcO+A8RlVd1ebt5Xo0vgtahMbIGIUCDaVfIQU OZrfuzqoWkptX8W1PVEIAnkvqtAxt2FaDyAsnhnzIQEqUL0LUy3fXxHY5ArSFWfBlAD3wdxudH9P g3NW252I4PmM1bdpYURE62jyC0+byppwBTGmeDhuFFb4No3HRffEVZt3NcsxMttRjA1a61MIoPgY 5CiqKJZB4USTeZL2X2BgZ2e+xY7ds5WxYZCB82zw+qW7b+ei1mJyAAGRSQ0KPf09WhzUqtFi2tDR swHBx4OHtqKcpytIitwD7lg6qw2cDKfXjYoK6N2dA4VM+ICh9jlrME2E3rh9kxXagEQA+NLWHmTO FZiESCMQpnHIkro2XXctPsB/9vUV+MnCayVrGVkxl6AgW7IqNyZTgK0FJ4BNFWlGirs4a7rFqQ3Q as/wp4JGWw3oLBvXF8buFzADFPMDQi+LAADH6mCwEPgsKVtbi3qA9gVAO/iL+LAUJUuXbI11iTHd sME9BmJerofc5BrRCr42f81jhFjTLyjKtSPcBJv7H8YFau2kzZAgwQhpE7ikmMPZUsx8+SYVlT89 iqIoprzAJpbcJmaU0+B+Nb7IAB3pQCPyjLXPVs6nRUwRT+f3J+aBRdlnEH3UjquLm6sr06PzS5Em keZd9BWIdHwbxmpFqR7pXoQttaj/hJPxz7yhRwA4Y81mNTxhQBY2Cf4eahKGUclm0eeL808UPimC OQp0zecPu8P++vry5o9TPV+3Rto2MZWeN2/UPtS0xxFZhSOrpR615JkDobQctu8P+8k3am6G1I06 4NZMs8Fhi0wCB+1pAEtLKl5DUfFhnBLdSXSexIE4sao2iYUK5kkaVpF2sNxGVa6PlTuRaf6/Mom7 /pM6GgVihckMNZ/ddgaMe6o3IEF8jNqhGKHTSlBFGK83MFh1OTNLZphTIbCeEn8Nn1kpiu6n6fvB IAe+GdcgemVGDu+iYvkscgSHQWUMR3CxT+CI+JltLcQeiJUQar9Bd+7vEVAlyI8+9HTkRaZ+lPuU mmrgWvpeFr+F1CNCr9TyuWtZPddJFUTIO45yYqK9ha17sjDCSE8MbJmldEOSgsdw0rorRYnSiOUX bZNbq7uHf8UyNy44/XpBQgsCuvpKtVs3IfmGFzwdF2blQsfy8XeMsmkUhhGVq2eY+orNMnRLlqcu T06uqdkr/4rJkhxYgQdZZCMLuPTj7vLVxSj2yrdOK9nlsPwEBB0PsJzAWiYa/2miQaRW8IETw2Ht cXED7rHwja4d2V1V4Ru3csc2eZNCWq+Ev3XRlP8+t3+b/JnDLkyaemlaRQRNR7vciEE4CdAMPEq6 Mt4tzMnXlER46EQpEpkjDJMavZ9BVim1O6KBIDReIIRZcN4yNCr8SgBFdWG9eiiWQMqdtH2vGPIE hcdoMEYLv6RLZ46gN6h0KZvqOX1nPHivxKAn7ZU5s7V+ivfQphDetJ8642vLmnUDm2nzqtQzL/Lf 3UwvMSphcqGoLVNiJiwk7G6r6aURkSPo1WdMcv6C6LAR4MW050pTPjReDYw+lhLjUEqU7UQzk3Gg KLLSD8e+EeY0y4jdduUSBY65hWrLgOmV6DjQOg04jAtG+rriUJ/IKZB6++ZzY9sNBGjml0Z8XMYo UpbWfTGvD+9v364/6BgloHcgoBsytI77dE67UZtEny7poQwk15cn3j6uL+kbCouILkJtEf3CaK+v aOc9i8jDI02iXxn4lSebgElEp5a1iH5lCq5ol3GL6OY40c35L7R0c/kLk3lz/gvzdHPxC2O69qTg RSJQhlGL7GinWaOZ07NfGTZQnXrWNauDRHNF0bs/tde5QvjnQFH4F4qiOP72/iWiKPxfVVH4N5Gi 8H+qfhqOv8wpWeddJ7i05/K2SK47T6YjhaYDH3NekzlAadCXkEhSBBHoCp5kQz1J3kStL4OQIqoK 1vi8+nuidZWk6ZHuZiw6SlJFvnRSkiKB9/J53PU0eZt4hB59+o69VNNWt5aTkkaB1hwt9WhqZhxO /SmH2zzBvWk4cQpQl2P9yDT5yh1qe889oo2k6JZ3ugXIuHiUWQ7u3193bz9dL8PbaG3YE/B3V0V3 baRqhlJGnCGTMdBXoNTqtzREqzw2Nwo5nDI3iDsCSaDPHfzGvNoF9CiyZdCymBJIwyyquUtDUyW0 Qj7cBdrPYiQzl//mRXFbuwQxAVMakKHvWrhuFVe+1A+S0i7SpETlOuuyjIm6YywMq89Xl5fnWhz/ AgbLqjDKYebwGgMN11xqDJgwog16q01G3axgDsp4jQ7RVWAaKfA2NODPYtyOt3xi/0KwWmHfrYgJ kxgeNVoyowqZQyMF8jEKLCpSlCMUbBHYF5MODb8whDVfVkWDt/Nt9PnES1wnISwTLm/DUod2b8ZI z2Al6vYJTMPgfv8aOAzN6XqSpsiKtaeugaJhJcxo5gl+G5S2goVlQnO7nmjNMo9rRT9mFqPnEFkP VusLlL1imeNSJj6Aju4iVqXavuQ3kxwp1W5YngFyxdxYmh6y8dtfz0MciwE4CbP9vBWrVc3q14gS NNxDUkhWrzMMlIFtJJmjQ6Ixycq4D9RaacNEsy0kelUm+NFlEeOVz8qg6pJw9fn0RMfiLDuFtRHR YOgpayhWj+h81lPYT9bJ7NjT6sajb+LD7mnzx/P3D2ZLikxkT58zSkyl6GBH2YOySS7NACIP5ecP hx8baO2DTsDTW2DGsUTXvBGDuTBIBOzCiiW1M1X8XkA8QC5K/VlRLpagJmk1Vkq3BkwbPpSnHXfZ GY1MUx79VPdHvXfwyFi61eXJjacjtTj9WwGIQPBoI8ELRGYBW5SIFqQ/m/yQxAk0yGE2Tcio7O7I qj783DxtPmJtupfd88fD5tsWCHYPHzEf3HcUpD4eto+75/d/Ph6eNvd/f3zbP+1/7j9uXl42r0/7 1w9C6rrdvj5vH3lw6vZZS+envJGzLdD+nOyed2+7zePuf1W0b7/tkwbPLuBVNtebBUGHJbHR+wG+ X9CkaAZqa0+eD5p8uq4iOlpkhB7FC3oF4Gi5kwdw136uPU60ijgGEd9LqyIQ6FlSaP8kD+mlLOFX TfAKE4fjWaCtQVFG2EyGIWBZlAXl2oau9MoXAlTe2RAsenElagfql1FYMfazdLQPXn++vO0n91g6 fP86+bF9fOGFoQfTGSfvYqv6kYll6cyIWzDAZy480pOmaUCXtL4NknKue8pYCPcRyyQ5AF3SSj/u BhhJ2Jv/nIF7R8J8g78tS5f6Vs/TqlrAKzeXVIUGeeDuA9zZ6Mn5qqqsjDJB+2O0rAdEdXCf55ok nsWnZ9dZmzqjwYR6JNAdeGnVopFg/lfoTlfbzCM9i6yE40AdoEh83echef/rcXf/x9/bn5N7vie+ Y+jmz4EtqpVQM2eQ4dxtPHBHEQUkYRXWjPg2cFgsorPLy1PjXBMu2u9vP7bPb7t7XlE0euYDxgQV /9m9/Ziww2F/v+OocPO2cd4g0FPdqk8VZM5bBXPQH9jZCUgD69Pzk0t3tqNZUsMndhB1dJcsnPYi aA0Y8ELN+JQHSj3tH3T3JtX3NHDHE0/dddC4myDQla6+76kDS6slMe10hrR+NU7dz7oi+gPpYVkx dz/nc/9sYpRu07rfBiNA+0mbbw4/fHOWMXdwcwTao1tRr7EQjwt/pt337eHN7aEKzs+ID4Ngd1pW JCOeYnWjMyO9h4EZ4SfQT3N6Eiax0+iM7Mo71Vl4QcAuXXaawJIFNQ3+duirLKSWPoKvTijwmV7X bACfn7nUqIa4B57SORww6BkU+NxtNyNg6No5LWYuz5xVpzfuZ12W2J1cJ8Hu5YeRzKrnDO6WAFjX JO6yz9tpUrvgKnC/EQhNSwzZ9CLUta3DJhiW2UgYgUBzo++hunHXDkLdDxlG7ivE9NF1O2dfmXt0 1SytGbEWFBcmmGxEtBJVpZGPvP/y7mw2kTsfzbIgJ1jCh6mSGSWeXl63h4OhPvQzYuWTV1xX9+iR sOsLd52hPxABm7s7kTv+yBFVm+eH/dMkf3/6a/sqwl8t7aZfdliwsaxyd+GH1XRmxUzrGMlRbe4l cMwTT6wTwZnl53FI4fT7JWmaqIowVK5ck7IdDxu2X0QhhETsxfYitpeCmqUeyYV5l6sw4lTkhpEk j23t43H31+sGdK3X/fvb7pk42tJkSvIUDhecwp5qRB09UZBIbDAVVehpSRCNfVpORYpsLh3FLRCu DiwQMtFoezpGMj5eRXZ0xJaMNz5uzxE0Xw6grxbTE7+F02AYLfIi1D9jaRQ6VMc2nhQyB7F7Lnox MDIvDo4sL+68G3vyvPM+G/qG6Y6fx7iTzGYmjIVUM1ysEiiC3USLLk8wJ1YX5Pnl5YrKKKDRuiVr NSTa1FeBp36TRscyUWF4tqKSfJr2NZ5bw7BvKGTZTlNJU7dTkwzNeF0Q4YVQEmCsoghUNDwNb4P6 GgNZFojHVrzBjEj6SXoN+5r6xJVDbIe+d0hmeH1VRsLjlkdW4cio6pXB9vUN475B9TrwEhyH3ffn zdv763Zy/2N7j5U1Bs6WFWGL6WQSftn4+cM9PHz4E58Asg7U0H+9bJ96m7DwcvSb6l18/fmDZumW eKG2a/Pru2spML++czXgc+/Epo/Ya1UQxS9MkXqnaZLjGHjIUqxOjNR7VAhjV3mnud5JSDeN8gCO bfO+FKPT6VK6U9hXEaZY0RamCjrH4iRtk+iuYQoVJ3mIqQoxG3RiFF+oQl2B4AZ59OsMsnIVzMW1 UBUZWk0AWjoc+jpPCE6vTApXFwq6pGk786lzQzfgHEVe6Ttw2JXRdH1tchsNQ3vMSBJWLX3rSVBM EzJWqAquDEHPFPuDT5oHZzJ1FdBAU8FsjVMk6CbfGCROlGXLKtIdOBEqvNxNOLqso9ySGgEXX8VR TkLjtAm0cYLQO3RnQLXuNPgFMTgu/NJwshUUi4lOOZiiX31FsP27W11fOTCetKB0aRN2deEAWZVR sGbeZlMHgRV03HanwRd9UUqoxy1leLdu9jXR7ug1xBQQZyQm/arfbWoIPebAoC888AuXQ+guEhLV AEuuI2QJFKy71ct0afBpRoLjWoOvWFWxtRC99IMYa7vBAbaIOk4woDB4KNRfPwcVs6t5gq4ujfKZ XtqK4xCBjiIo7tuhSIhD55Gu6a4uDIbYRyqJ628kbPPeF0c71JZJ0aTaIkHKgA9QWKm23zbvj2+T +/3z2+77+/79MHkSlzab1+0Gjpb/3f63pkrIygJdNl3D0hlcLXpEjaYegdRZoI7GsBfQw3y5P82m PM4OJhEjBTecuxRED4wz+Xytvz+qXFaIrgGG76XN4CwVi0677ORpnIQrjfGaZYvR8l0Rx/zujxpV 2XZVpju3h3e6G35aGGY9/D3mP5anpk94WrWdim1VPaZfseiTNvrqjtfhGiBZmZgBRa43BOBXuj25 SELM2AyySqXHWxd5Q+VFRDgZHI/01/9cWy1c/6Of0zVmeClSa+3zCV6yVIus4aAwKgttn9Swa4zp RveyfKYfZ71g5chF5k2wEj459OV19/z2Ny9s8PC0PXx3vfNEZRuePt8QmQQY3e9JeTuQ2TVTLMC7 wJAVeWX2yUtx12IY7lDsQ8rqTgs9RbjOWZYE9h4A9WKKXgtdVFVAoOct5bsC/oBENy2kf4ScNe9M 9Oat3eP2D6wDIMTTAye9F/BXbd60y37sDW0cpL8hv2XLeFURdP7S1g4mKeUh+Z9PT84udB+4KsHi iBm+oi+VEgt5w6wmS/7w6ikYsA6LTN86RQkfGBlRghlBDH1CspIo4E6gWVJnmH1fm24Lw0eOmUWM rAoyywbn8iJgBFOw2uVU+mSrvzjbRhI8ucLD7V/v37/jNXzyfHh7fX/CAiWasoUpl1FTqTT1QAP2 vgDiC30++eeUohJ1oexZ0h00+6OtndZMZvjAGbYCVjiWcsvlTw2cX1uqv/TC5sCEk5k9XIzqVSeo 9HHoG9M4AO5CECyivDYya4g2EKvOFetr9yi12uXUUuo59lEsc0sp57p6kdRF7lM5h546y5XEIKiK kDXiltp+AZHAoPaACYXBxKP/iA/Hy954W5ZeuySuClq+WX14EXOr8kH5qMxpH4yIddpOFake2IZg y1zLPXzlGuJ1Mdmt+6EVxjv9woWorUUU+sDQgPOFEhmBxswZobeRRWa/5yLjV5UyMtpGVVMCWM5A SZs530Sk1ONOQRpXEECeeyVBT4eq4nXgcXI1V3uxAgU7QxHYnj0hvbNaT7xsIfA1TNksCDjvEFhl 4NWd5BnNNsQDfErhe9seTMPutr7PPOHsUMrSQDQp9i+Hj5N0f//3+4vgvvPN83ddMACGFqAHVWEk 7zHA0pX51EQSpXhkju95i46eIHsSb7a802sHaWnPxkYrQg/gCHl4f+Qp2h3uJtagLUJwoLye0GFq dwyeXUTb5tzi295GUUkcqqAfRlnZZ3PF4Wvc/LfDy+6Zl4/6OHl6f9v+s4V/bN/u//Wvf/0+jF84 EmNzMy4Q2sG/ZVUsiGxJ/DF8G3tMFVroQY+MnD2i0uA6e4cmXy4FBthKscTwAqenZW1EawsoH5i1 GUSyhNJlPBLhZRmgYKOAaJUtHZ7FGeP3Xioptd4FHwlo6KhBOBaGnmp4TUK9GWTy/4dP2yvzPJYZ U1CbHItvbo7UR8ulLpg30J/xOhiWr7B5jZyat+KcOE4BRyuw99qthSs2399CDnnYvIGmDQLIPRpx NU4h5zupG/cLlp7EQa4CKyCKGevRPvwY6/gBHxRV1aoMYBaP8AzTbD+oIul+X6ttCWcxKRbxjQVI zVqjLRb9fgVPczggYp+dCvHWsxoGjxUurveM8/zkxHjUXgsIjO7I5Eoqi7HxTvZHAVYrJPWKkNFN XYpvEhAO8VLIk7MShj8vGnTmFcYhlemVcnwGdB6sGz2eBtP98zfU8+Pg8Rm3udA8xrGzipVzmkYp kLGaQT+yWybNHE0F9uku0RkXxbiDbRVaJJhriH8+pARxNncErBgv9NcWEF9cNKutMP4avK6qNWYx jMBK0oEMTtS7GIC8TD2nN04E/Cr4IUVVA2fCtKZkVgAzuYE8y9AqQ76n05+yhNodSUL3JLO/Evrm 445wm/aujCOLwrceji+FvmHgCng7qGe74eIt9ZaRmjTY/DMrKY82nfx7UWYnQNZFHDtt961acCHV 9NAhMm8J+07CKeuWrIgtVnHtLMY6B5l3XrirVCF64dhcMVM4oDAeRcyYE2Cg4CzPsaQLJqHhD0TU VGBKH7yWTgp7X9xCO9NITqIhQesIPECgG3yU0sWtNlSnZezA1FKx4XQL48xD7QTD8Ie58LBK02wm DkEtwBWbEptb6CgkOx4253AXSpuStA0/Tql6Zim/AcCvRtKphdQwOOpKv0il93yUWNsoIeaN8VPW 6xz2rZigGVYE9RHqK2OcsmZYN4pakL31R9SB7xKZSyUyE1PxIGFJ40hXB6y8TEgepmDoMkrhYtJg +juN6/N4JmG21WUjqxPdVtxsD28oraI6FWDh0833rW7gvG1z8iKXVJgT3a2yzI5p1XnUcL+WcSqZ 87DvYNhYLEnrVL8uQIiwE1nKBUdk7DZSMecWClmKlLtMRIxivw4zxkJYBG2KQZDHPWPYcfrlc4sB O7ZVAFR8AKszxLQLBGbhWbWlgL/woxLej7MU4dM46Dq3oSc3OneJ4c4ctVWW0iTxYsVuqvUUxyTd tJ8M1KRGuMMU3ZRH8PymskiLrBjZuTwhLnKs8caknc0jtwv18urCvIZRSC3uyts+n7p5tLJTVVpz Ky57xmpVKro6KGnvJeHaBBSNJzE9JxAeNn68uIYaxcN29dSQ5RRt66nbybHiotqPxzS5MbBRP0WF jh88i8LIhPt8czk2CWnvTrETbke2ibTijbx8zQvPkbkPxPyVsa44Chi6U81FqboF2TZ3N4KpP3ZO Y2uqgOrIKuKpUUdegp+zY6uQp2qwE21YKzErRpYBBjqCSDqy0NJkEZXMV35NjQMtPJ7UK6ofLwHg vOac0QPSCQsVN67/Fwtc044DNQEA --===============1095898130022304351==--