From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============7672830163353404915==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: [intel-linux-intel-lts:5.10/yocto 10656/15115] drivers/media/i2c/lt6911uxc.c:787:21: sparse: sparse: Using plain integer as NULL pointer Date: Sun, 22 Aug 2021 11:25:07 +0800 Message-ID: <202108221100.8pokOEpX-lkp@intel.com> List-Id: --===============7672830163353404915== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable tree: https://github.com/intel/linux-intel-lts.git 5.10/yocto head: a70bb6a927c84079200a53c29462319293d3df1d commit: 367a342a05c249be8a0ea5e9d1e9dd5669a02abf [10656/15115] media: lt691= 1uxc:add sensor driver config: alpha-randconfig-s031-20210813 (attached as .config) compiler: alpha-linux-gcc (GCC) 10.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.3-348-gf0e6938b-dirty # https://github.com/intel/linux-intel-lts/commit/367a342a05c249be8= a0ea5e9d1e9dd5669a02abf git remote add intel-linux-intel-lts https://github.com/intel/linux= -intel-lts.git git fetch --no-tags intel-linux-intel-lts 5.10/yocto git checkout 367a342a05c249be8a0ea5e9d1e9dd5669a02abf # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-10.3.0 make.cross= C=3D1 CF=3D'-fdiagnostic-prefix -D__CHECK_ENDIAN__' O=3Dbuild_dir ARCH=3Da= lpha SHELL=3D/bin/bash drivers/media/i2c/ If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) >> drivers/media/i2c/lt6911uxc.c:787:21: sparse: sparse: Using plain intege= r as NULL pointer drivers/media/i2c/lt6911uxc.c:1134:10: sparse: sparse: Initializer entry= defined twice drivers/media/i2c/lt6911uxc.c:1140:10: sparse: also defined here vim +787 drivers/media/i2c/lt6911uxc.c 717 = 718 static int lt6911uxc_init_controls(struct lt6911uxc_state *lt6911uxc) 719 { 720 struct i2c_client *client =3D v4l2_get_subdevdata(<6911uxc->sd); 721 struct v4l2_ctrl_handler *ctrl_hdlr; 722 s64 hblank; 723 struct v4l2_ctrl_config cfg =3D { 0 }; 724 int ret; 725 = 726 ctrl_hdlr =3D <6911uxc->ctrl_handler; 727 ret =3D v4l2_ctrl_handler_init(ctrl_hdlr, 8); 728 if (ret) 729 return ret; 730 = 731 ctrl_hdlr->lock =3D <6911uxc->mutex; 732 lt6911uxc->link_freq =3D 733 v4l2_ctrl_new_int_menu(ctrl_hdlr, 734 <6911uxc_ctrl_ops, 735 V4L2_CID_LINK_FREQ, 736 sizeof(lt6911uxc->cur_mode->pixel_clk), 737 0, (s64 *)<6911uxc->cur_mode->pixel_clk); 738 if (ctrl_hdlr->error) { 739 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 740 ctrl_hdlr->error); 741 return ctrl_hdlr->error; 742 } 743 if (lt6911uxc->link_freq) 744 lt6911uxc->link_freq->flags |=3D V4L2_CTRL_FLAG_READ_ONLY; 745 = 746 lt6911uxc->vblank =3D v4l2_ctrl_new_std(ctrl_hdlr, 747 <6911uxc_ctrl_ops, 748 V4L2_CID_VBLANK, 0, 1, 1, 1); 749 if (ctrl_hdlr->error) { 750 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 751 ctrl_hdlr->error); 752 return ctrl_hdlr->error; 753 } 754 = 755 lt6911uxc->analogue_gain =3D v4l2_ctrl_new_std(ctrl_hdlr, 756 <6911uxc_ctrl_ops, 757 V4L2_CID_ANALOGUE_GAIN, 0, 1, 1, 1); 758 if (ctrl_hdlr->error) { 759 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 760 ctrl_hdlr->error); 761 return ctrl_hdlr->error; 762 } 763 = 764 lt6911uxc->digital_gain =3D v4l2_ctrl_new_std(ctrl_hdlr, 765 <6911uxc_ctrl_ops, 766 V4L2_CID_DIGITAL_GAIN, 0, 1, 1, 1); 767 if (ctrl_hdlr->error) { 768 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 769 ctrl_hdlr->error); 770 return ctrl_hdlr->error; 771 } 772 = 773 lt6911uxc->exposure =3D v4l2_ctrl_new_std(ctrl_hdlr, 774 <6911uxc_ctrl_ops, 775 V4L2_CID_EXPOSURE, 0, 1, 1, 1); 776 if (ctrl_hdlr->error) { 777 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 778 ctrl_hdlr->error); 779 return ctrl_hdlr->error; 780 } 781 = 782 cfg.ops =3D <6911uxc_ctrl_ops; 783 cfg.id =3D V4L2_CID_MIPI_LANES; 784 cfg.name =3D "V4L2_CID_MIPI_LANES"; 785 cfg.type =3D V4L2_CTRL_TYPE_INTEGER; 786 cfg.max =3D 4; cfg.min =3D 2; cfg.step =3D 2; cfg.def =3D 4; > 787 cfg.qmenu =3D 0; cfg.elem_size =3D 0; 788 lt6911uxc->mipi_lanes =3D v4l2_ctrl_new_custom(ctrl_hdlr, &cfg, NUL= L); 789 if (ctrl_hdlr->error) { 790 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 791 ctrl_hdlr->error); 792 return ctrl_hdlr->error; 793 } 794 = 795 lt6911uxc_csi_port.def =3D lt6911uxc->platform_data->port; 796 lt6911uxc->csi_port =3D 797 v4l2_ctrl_new_custom(ctrl_hdlr, <6911uxc_csi_port, NULL); 798 if (ctrl_hdlr->error) { 799 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 800 ctrl_hdlr->error); 801 return ctrl_hdlr->error; 802 } 803 = 804 lt6911uxc_i2c_bus.def =3D i2c_adapter_id(client->adapter); 805 lt6911uxc->i2c_bus =3D 806 v4l2_ctrl_new_custom(ctrl_hdlr, <6911uxc_i2c_bus, NULL); 807 if (ctrl_hdlr->error) { 808 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 809 ctrl_hdlr->error); 810 return ctrl_hdlr->error; 811 } 812 = 813 lt6911uxc_i2c_id.def =3D client->addr; 814 lt6911uxc->i2c_id =3D v4l2_ctrl_new_custom(ctrl_hdlr, 815 <6911uxc_i2c_id, NULL); 816 if (ctrl_hdlr->error) { 817 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 818 ctrl_hdlr->error); 819 return ctrl_hdlr->error; 820 } 821 = 822 lt6911uxc_i2c_slave_address.def =3D 823 lt6911uxc->platform_data->i2c_slave_address; 824 lt6911uxc->i2c_slave_address =3D v4l2_ctrl_new_custom(ctrl_hdlr, 825 <6911uxc_i2c_slave_address, NULL); 826 if (ctrl_hdlr->error) { 827 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 828 ctrl_hdlr->error); 829 return ctrl_hdlr->error; 830 } 831 = 832 lt6911uxc_fps.def =3D lt6911uxc->cur_mode->fps; 833 lt6911uxc->fps =3D v4l2_ctrl_new_custom(ctrl_hdlr, <6911uxc_fps, = NULL); 834 if (ctrl_hdlr->error) { 835 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 836 ctrl_hdlr->error); 837 return ctrl_hdlr->error; 838 } 839 = 840 lt6911uxc_frame_interval.def =3D 1000 / lt6911uxc->cur_mode->fps; 841 lt6911uxc->frame_interval =3D v4l2_ctrl_new_custom(ctrl_hdlr, 842 <6911uxc_frame_interval, NULL); 843 if (ctrl_hdlr->error) { 844 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 845 ctrl_hdlr->error); 846 return ctrl_hdlr->error; 847 } 848 = 849 lt6911uxc->pixel_rate =3D v4l2_ctrl_new_std(ctrl_hdlr, 850 <6911uxc_ctrl_ops, 851 V4L2_CID_PIXEL_RATE, 852 get_pixel_rate(lt6911uxc), 853 get_pixel_rate(lt6911uxc), 1, 854 get_pixel_rate(lt6911uxc)); 855 if (ctrl_hdlr->error) { 856 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 857 ctrl_hdlr->error); 858 return ctrl_hdlr->error; 859 } 860 if (lt6911uxc->pixel_rate) 861 lt6911uxc->pixel_rate->flags |=3D V4L2_CTRL_FLAG_READ_ONLY; 862 = 863 hblank =3D 1; 864 lt6911uxc->hblank =3D v4l2_ctrl_new_std(ctrl_hdlr, 865 <6911uxc_ctrl_ops, 866 V4L2_CID_HBLANK, 0, 1, 1, 1); 867 if (ctrl_hdlr->error) { 868 dev_dbg(&client->dev, "Set ctrl_hdlr, err=3D%d.\n", 869 ctrl_hdlr->error); 870 return ctrl_hdlr->error; 871 } 872 if (lt6911uxc->hblank) 873 lt6911uxc->hblank->flags |=3D V4L2_CTRL_FLAG_READ_ONLY; 874 = 875 /* custom v4l2 audio controls */ 876 lt6911uxc->audio_sampling_rate_ctrl =3D v4l2_ctrl_new_custom( 877 ctrl_hdlr, <6911uxc_ctrl_audio_sampling_rate, NULL); 878 if (ctrl_hdlr->error) { 879 dev_dbg(&client->dev, "Set audio sampling rate ctrl, err=3D%d.\n", 880 ctrl_hdlr->error); 881 return ctrl_hdlr->error; 882 } 883 lt6911uxc->audio_present_ctrl =3D v4l2_ctrl_new_custom(ctrl_hdlr, 884 <6911uxc_ctrl_audio_present, NULL); 885 if (ctrl_hdlr->error) { 886 dev_dbg(&client->dev, "Set audio present ctrl, error =3D %d.\n", 887 ctrl_hdlr->error); 888 return ctrl_hdlr->error; 889 } 890 = 891 lt6911uxc->sd.ctrl_handler =3D ctrl_hdlr; 892 return 0; 893 } 894 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============7672830163353404915== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICJW/IWEAAy5jb25maWcAjDxbcxs3r+/9FZr2pX1IY8mXJHPGD1wuV2K1N5NcWfbLjuooiaaO 7fGl/frvD8C9kVys0pk29uJCgiAIAiDpX376ZcbeXh+/714Pd7v7+39nX/cP++fd6/7z7Mvhfv9/ s7iY5YWZiVia34E4PTy8/e/97v7p2252/vv85Pez+Wy9f37Y38/448OXw9c3YD48Pvz0y0+8yBO5 rDmvN0JpWeS1EVtz+bNlfnePDb37enc3+3XJ+W8zaOr095OfHS6pa8Bc/tuBlkNLl/OTk9OTkw6T xj1icXp+sjg5GXA8ZfmyRw8sDs+J0+mK6ZrprF4Wphi6dhAyT2UuHFSRa6MqbgqlB6hUV/V1odYA AU38Mltard7PXvavb0+DbiJVrEVeg2p0VjrcuTS1yDc1UyCpzKS5PF0MHWalTAUoU5uBJS04S7sB /dyrMaokDFSz1DjAWCSsSo3thgCvCm1ylonLn399eHzY//YzyN+S6Bu9kSWfHV5mD4+vOJoBVxZa buvsqhKVIAmumeGreoTvhqUKretMZIW6qZkxjK9gdD1zpUUqI7JdVoFtEi2u2EaABqFPSwGyg4rS bkZghmYvb3++/Pvyuv8+zMhS5EJJbiewVEXkzLSL0qvimsbwlSx9O4iLjMmcgtUrKRRKeONjE6aN KOSAhrHkcSpcC+v6zLREnknE0H2vMFfcWETVMtG+YvcPn2ePXwIVhe1zMLm12Ijc6E6n5vB9//xC qXV1W5fAVcSSu5LkBWIkDI2cWYsmMSu5XNVK6NrIDNRCij+SphOmVEJkpYHm7UK2ovOyem92L3/N XoFrtoMWXl53ry+z3d3d49vD6+Hh6zAYI/m6BoaacV5UuZH50h1UpGM0HS7AnoGCMk3D9FobZjXX 8yEQ5iNlN8fY6i0ih+m2MFlMyFJqSermPwy3X5gwUKmLlBl0La26FK9mejzN0P1NDThXBPisxRZm nxqRbohd9gCEmrJttHZHoEagKhYU3CjGRS9eqwl/JL7fjGS+8OxVrptfSJuU65VgcWCNVlv67tv+ 89v9/nn2Zb97fXvev1hwKwGBDfYdmZv54qOz5yxVUZWOMyjZUtR2/oUaoOBM+TL4rNfwwx1S01at +UrElFtu0KWMNcGl4oxNMyWwzm5dgVp4LDaSixEYDM037RYelQnRtXVclEUVuDhbGmbY0BzuaboE E/BGUhld55poCHYcBRhHyTL2vnNhmu9BtJXg67KA6ULfBBEB7dasrmFTMoUVk6a50YmGQYKv4syQ U6PQVQziRCl6j43d1VXsBxOKZdCaLioFeh92fBXXy1u7XQ2rFaweQAuqv7hObzNHoQDY3nqf6W0R fJ8Fjd9qQ40lKgpTN797UVdRgoOXt6JOCoU7CPzIWG6NZ9B6QKbhl6lwoOS6XENL4M2wKUd71sja j8ZdOSsHwiKJ9uB2q5fCZOh828DiyDQSFC0+aTZ2x8hsFNXsap4jV2BVa7KPYB30cJEmoNIJGwwU QU0J06DPykZMnbQVRPDBJywLR3Fl4dJrucxZmjjGaAfmAmwA4QL0qnFQXXAnHYuCba5SwQ7H4o0E QVsVUwsZ2ouYUtL1RGukvck8FXewmp6qHm0Vg4vPyI3wLKgeYkw3cFU2rk4ouwfRRBwLZ/yNmQJP 3cdW/ZTNT866DbjNucr985fH5++7h7v9TPy9f4AtnMGuwnETh+CnCW1a9qFNMiT4jy120myyprFu 2/FUqdMqmvbQiGw2o2Z5FF50ivkNM5Aa0dauUxZNNOpLUNDZAvJD7wo2zDbhmSbDDSyVGrw5rNKC WiQ+2YqpGKIUz5qrJIFkzW7QYBmQpcG24MypKhKZdibdzoSfLPYrIS1XjvO9OIuk66IyJ9zpQ3QG OZOC7aMJKweCW4h869j15X1OoJmPKJeGRTCCFGY71ZenvTiYU9n0qjNJbUOoPsUdVigK3nVAZ3CW gqXgrY7gt7SLbZCwgaznxxrfMAiOYYc+QsNZBClKKmiLaGjicnFxdgQvovkP8Bdn5XExgOTiB2g6 ZmjxcimOqTHdHpcwvcm3R9AZU2AIxwgkRF1H8WumjxHkEBnJtNLHSAoM5o6rMS+UNGxNb38NCXjU o6ooF7QParCKXa9kTIUaLR6WvmSeb2sRP5gB/SM8LshjePBDxwQHrTB1bAYMKC4/gr+G5CiRiho6 +A9nv26cSc3cGKG10s15COKSEVQXIay82UqiDrK6BsNfmZD6SriO0VaDMnbTBYN1Env5ncXHUsOn kUvYo2qRh8r2NQEpq9PnRqiogOggs5nAFBw3vLlTy7itTxektgEzYQiAgYxwCrU4vyAkRp6ThReQ 22ZOTkjiSyR2slTXu/clwyrLbmwJtEj7Ukq3fe2e774dXvd3mNK++7x/goYgnJg9PmF9+GUoGmjI oxJnRotmUxRBTDQBtvsgzAaEmphUcSy7jK1DZ6UtM9VmpSBJD9rAum5WxG35VHu7ar1kZoWZYIFR wFIExmT580zCokzAIWXllq+WAc01bD21BGsrmQIj6Kq0vgwbqUxQVELpAyqQsmlTl4LLxC2HAKpK hcaA04b+GKH6SzGqtL8UiziuoVcI0xk3nkgFVo3lUlfQTx4T4dnpAtWO4Ty1NlBCUFhbaHMyOhgf wAU4Ri4xeEzciceCohtU9nXFJS827/7cvew/z/5qotSn58cvh3uvKodE9VqoXKReMHWMN4y4fmCy fWZrICWE3Ec4wtusQGcY/Z8M2monhc7bcLyU9nQ+H9qt8ubEAWZc5vCFTE4K1pdYrKLE//Z3b6+7 P+/39vRmZiP5V2etRTJPMoP24aRgaYJpolfCbMg0V7KcLq0XlTO1LUsL7FsqdHLW2gyVY7biZB8v Ri1l4IYdywEJwduU7tROjdaqItt/f3z+d5btHnZf999Jx5NACuclmwgA+4wFpiewTziFfF2mYO+l sTYKZqwvz5z8Es8sIgzviVTGrixi7DYlUJAxq7Zo28FXN7BM41jVJgzyrY8wBS5kL3HVVGrSHedk MA5QZm7bvDw7+XQxFLDAY0JaaJfl2q8KpoLlnMF2RZouJ8t+t2VRONn/bVR5nuP2NAG3QvHZZVM4 s91BaiySewXYuEumsJi7BsVRRRWFweFG8CbVcjNgHKktvBNsS6w1ipyvIMRdu3Y2bUpOKbBbgvn+ 9Z/H57/AvYwNDoxhLZz5bL4h4GBLb8Fv/S9Yh1kA8Vm2cWnrnsI/UHDAloGuWucT+Q7A8QQTtmee BfHkQAErosQjVq1l4uSXHS/Yst0jQOVZGRRugAa2c+PnKp0LNG4JyGR1ytwzV22clblkyvmCDC5e +r7MQuoNNFE3HQZWE1JmqiREsvwfTxZz56htgNXLjfLqqA4q25ANxoI3ZtPzNJBagQsltZKmXrAK n1SZFrKvdO03u4Ftv4S8FhAEw3Zx7jXLSqrAUq6K3LVdKYTA8Z17AeUArfO0/cVWU8EIcuifyhgG lsZYnZCG8b4Lx+Zs/bxbb1dv+7c9rLb37TGKFxO01DWPrkZN1CsTBfbYgBPNJ4wd0Y1pjrhKJYsj XLaCTMig3GJRB9RJRAEJdiOuUkoaEyVTa7rVB+UAOywsTLJRFg5yRLJU5ElFh45161oDOPx0t+Ge XKkxMLtCKQj9rCMawVfFWozBV1afY83A7k9ZaYdPrhoSoh9GdUPN2mqVjIGlJLlb+NjeUrK2Okyh priIimdTqbvfvbwcvhzugrs7yMfT4MwLABjturlHBzZc5rE9IvC6RlRyPSEuIqvThRPqNQBbsB5D xxaEGKU3JQ29GIOT1L280UGbM0NiqGVCNyHUGJ7hHZfgBABxwiIm1w6yMvLIv7cEmTi2HXPPdcW5 xgPHAi8A0TsbeC2GEeCG2tmG0CGAdGHGsKt1CIh0y4hxusqEYaoseuKpUUNWsx7FJZ3nL0OrQ0i9 1MECz/XKyZC1MyNXygRfkJ158aiFmYqKzS0qW0kvJG7OlG3QQzt7h6IJiQLfrrYYud/U/iFZdNXf SWpjx9nr/qW9cdLHoCNUgHDjTae+wzLFYlpYvzIJn1jQpAnryA1AEbC89r//mH86/RS2J3VhyrGv Yfks3v99uNvP4ufD38EpFfJtOKMmxaK2jdwOSKcjEEQ8PoCzlENeafCU2M21EMfMp7kPSVIx7map CI2tNwxvCZRcCvJ4z8pX5WdOzaW0W0XQOKemwwLJE1qKjMtpCv7hA1Xjs3OUSPzpnsAiOBvLmHX9 kODRgbqFCrZulRPM2R9sfnJyEo5YZDociDstH+cXJ/PpKZhg64QIGXvhqGivGdOW4mtlx4ra1Iy3 FI5SvBaMhn/nU8xF0tYD+tVSaQjI8fT1y+5u76STSP4Ro3sg8PWLimyAvn51jGC62GyN3LJNSNZq etRZxiNG9WYVPN1c1Zl8dyVtPFJ/TUfVsr06pEO+wJ/0rtWtT+GRsoiVB1EJLzJvfnpgbcwNVbGC ZnJRBiwIAj3UkwltR1OqwhQtmSfJSsalD9Dep1v3tp/+fSwAZTrB+9X0/m/oi54DWos0wRvFU/hE MFMpMT7Ut1Ya3b/tXx8fX7/NPjcz8bn37EMTMjdu3IyaNv73FWe+DriMjGdvDtBeoCIK1C4J7Fv0 ZPQUmVlPMYN0k8wVUyaUCmGgR+XtPg5qdUaCI65Dc+pQzKxOqYzdIUlTstHTa6kEielmgervmLos QTNhFCtM3XFWtrzYbkmJMrUhWgVZFien2+npK8HJbgm+hHY5DXazcvevqO98AFidh0vLrFFSutUr 8BZdZNm6pMnlMLSK85MKTaXh1zJjjqbsZ+v+7CWMy48dSiVr6RpA8905Bx8o89It17fQZRmmzJ/K 8LuN50dgK5K7FUj/niZ8T94BskhoJ4jUAOgt9zzxr4snHBKGpQwKSR4+JwMBxHhTjwC9im1FrY29 d8+z5LC/x7tO37+/PbTJ8OxXIP2tnUjHoWEDZX5+dua3aUG1XPAR+PSUAI2G24LJBha173YQnkmu Cv9I0wOPW9JmMYefjIa29E568Z/U0ke3mkGiNqpYyIQ+R0ivIf/KyYIL5FI1F6mbBiZMpsXG3TiF WZmiSLtsspvLUXrRp0P21N8xAwjPeAAKP9oHFNoHEjf9MJbE05xo4uoK4pkuKReLqLp0i97YR6bl CEC+KOlw9tw1AbEwNQ8EvqqkWutA3sn1aYdoqshvg5mgUcFZIHNbQxdZFeqmlgVVfUAM5NN+KyXz kmerHjy9BmsRdZEkodot8th1vp4Ij+mPUzi3jH9EKNQC/6GvYUDum1bLMDGx9omwu8eH1+fHe7z2 PwqWrK6ZijfdQZTb9RbvC27r/JpaNciZGPh3brMrB2rEUrFApZDSKgJkX4D53AjB48zMP+DsUcdu 9zlST5l+OyZeBta0xXYJULs0PDk2pxB8ZXQWbPFCaWbkxM0pKwbDsJyKY/pxmlWVx5huioxQUIcd LQvQa8HX/tMwD9yp3JcnE7FkRlAhYGOFimfaBIsUD6GXeniqE+9fDl8frnfPe2t3/BF+0W9PT4/P r57FQWx/HUgXX1Ny1bFiH7Zbi5rWJfBi/nuUqhbbm7ygYiDrL7LtxUglEO4zNT/dTphSnbIbmGfO SjGyU6mpyMC2ijHcqCsGTiBm9Ue6yNmSmFLwi9EgXRobcDcFM595LZWkb9lZNMoLPpg8i0N/L/Ro LYpmlc8/nf1gcqpclvi4cEpm5l2hOWZBzV2Lxz/Bgx3uEb0PLSww6SKSGyFTaxy+gN1p+3RjTWu7 z3u8nG7RgxfFh36UUXMWi5yLwLJb6NjTDSgU8AiKcJJ/fFjMBQEaFlFXsvjhEDrKiZ2i30XEw+en x8NDqOcacmL7DonUsMfYN/Xyz+H17tsP9yV9Df9Jw1dGeIHi8SZc6WCHIZ8zsVLGbprRAux9THuL AK8WnZ6E6OaGJhbXzbbG+MsLcvpGMgaUS5nT7r8nm4iHhs6qLDz86nB4cSSn+s5QqppDrjOKBNTu 6fBZFjPdaG6k8a4Jo+X5hy3RZ6nr7ZbqFDkuPh4ZCrLCXrqgmNXW4k5J85mQebj7ebhrQ+9Z0d+A 6buomgt+K5GWE5ET6Mlk5USpShuWxywtcureYamaxhOpsmumRPOMs9sIk8Pz93/Qid0/wvp7du6B XcOmiS83nbygA9nLRjE05D0PM4r1nTjv6QYu+3iwGaOrX5Kgj9jJAQ8seJtMBSWDflLCwfXVA7x7 ijVi5wJdi8IbVtcTuCmorcEq6SVhfWVW+S8rGzgWFVuWWokM8jd6W8rqq0LX6wr/9EFYiGxpGmTb Vhn+BYT+0UtZ1ZsqhQ8WQVhppHtLUxe8vT3XWbxYevf8mm8/a25hOpUZwQshSSZHwCzzXFnbqvtO v+PmPBoTnjrdo+vCK/2NGSae6gGV2C3Jvm12/fHESmzKtW8vTkGjnwMIeGy0AiGEKVSd0sXAec1K ryILgK0XjWM0VYtIUreTspX0J6AF9NWkoYjmCNlXiIo876719WsepjR8KrfMtWeK+I1VPCzPSvIW kqXQUiUtyYi7irbT3JnpvUy5e3492ArJ0+75JTjdBDrQ8ge8CD5xLo4UEc8uIMIdUzk0PIvtrWBL 42gTUEVCQe3dcwVBNfgz414edJBGbX04ml2p0749T0wwSPtslxhMFxOMdGGVUcGvEObhm/fmcaF5 3j283Dd1pXT3r7cD2hEV5ah37FXi1VpYFhn+vQw13lxZ9l4V2fvkfvcCUcm3w9N4g7W6TKQ/7D9E LHjw1z8QDi4m/KMgLT9erbCvkIt8JCmiIcu5ZtQtwI4ggs3qxkB+c81KqoHUwR9pZimKTBh14wuI LiVi+bq+lrFZ1fOj2MVR7FkoXICnIg5KhIujvZwuxhqWc0ovkj7M7NH085keTT+hsTZn6Ed2PSum dcF5W2gTWaxNTEkNUQxVZujQ+P7NV4ByCwoWUAQAFmmRe1nGEfNvsrbd0xNeG2mBeH2+odrdgc8N 10iBdd0tThRe5B0vx9WNzti0yjQ/X5zweMp2c2EsRdis0efn5Psk2ycP1m2Tam/wsY4KHBxkbI0O hzzzB8Nv3rTu77+8w3xmd3jYf55BU5MnnLabjJ+fj+y0geI7/UTSTysdqqkMxCoRix+1zoJh63Rk HuVqBIL/Qxh816YwLLV/M8F7G9BiIYjCZy2InS8+tgWlw8tf74qHdxyVNVVqxx7jgi+dQ4/IXq/M IRzMLudnY6i5dJ+b/VDxzakNZAN+pwipw/csdkHnAnFTBohsgnPMb1cs868JTRDATPBwmV5bwmnW aHgvrXb/vId9cQeJ8r0dyOxLs1KHggAxtBhGkUqigwYxXhQWyTKMsFL3z6H0uALW7WIC3so7heoT rJAAsrRlQcDbgILAcJYISnCTCYq8eYZMYXTK67Tkp4vtluI7isWCajt/nu00SJ6dfdhu8yRlenXM jIpt/v+cPduS2ziuv9JPp3YfZkcXS5Yf9kGWZFtp3VqUbXVeXD3prpnUZpJUurcq5+8PQVISQYLq 1HmYTBsAL+IFAEEATBlR+4FrUuUhIzCXQ+x76rbT6vFIQdnpdqgyfB2/LIX0UtL3oMsEjeOuyQ91 RlZw4Cvbyahk++dmXG0AzJeRtyG6bhpbly8dKEu3NhAl3VtxYlkryYY6DG78Y6llPhlSTTi+Gp/B tqebtoQnU6Pdx5QzUuzVKGXw59dPeJOzmrhnmauBf1hJHcxmEn4Gbqk9m5fsvm3wHQSBlAou6LNw A0btbYI2B7vEkkfRTQp529ar3O+Ha18OczQx55tcJvzJpYBt4NWZqy7aqTLzhTZIDFFz1fF+3/2P /H9w12X13d8y0uvZ9kuFpmQB6qDzflV6l897g0VzwO1aidhkdmo5QzUksSDYF3uVCzLwTBwkDERm jAlxrM7FvjSX0umxK3rjmlqh80HjNu1B/xtuDQZsc+HAtKp4oT1DQAikHPqiQECuu1SPNOq+3X9A gPyxSesywy2pZabDkEWlPdxQiFILQdD8XHuBI6J+YScR4C6PYOBbgNKkyHQBkFZgThjAj51gzdXs Dw4AJ9aHfYEKV37KeLlQsLNIlmjXmY5Jst3FNoIrZxsb2rSqGxO86dAPZaLjHJClx2IOt+5+fHv7 9unbF039KFkqC0ut61IX6IZn2ls6fOZvtu8MP6mwtmd8ObOwuniBxmXSPAqi8ZZ37UACsWVO5h9A i6A7pc2gH47koaAuOesetH03lIfa0hMFkMt4OpNMmbFdGLCN50g0A6rKjZHRY1wuVC0DB0pYj8qF VeFO3a2stMkW5rOs5RIcKTgCDBu9xysr7XK2S7wgJZNflawKdp6nqeESEmjuAdN0DBzDj1s2Yn/y t1t0NpswovGdR93GnuosDiNN4ubMjxPtN3jCdycjbRM/dDguPKcrrcnsO5dRzgMsP5Cu3BBHfusH hm5JukuXNiVFLq5dT+V98Wj5NAewqSwRXhRctNW2cJJwvioCbWcqYFUc0+zRAtfpGCfbyILvwmyM LWiZD7dkd+oKNlq4ovA9b4NkIu7mRJ/tt1zzVPsAwUz3vgV4Sxk717OxS6Z+ffn59HpXfn19+/Hf v0XWsNe/nn7wk9sb2PagybsvII+fOUP4/B3+1KXrACYRUrL+P+qluAxmG9LPA6wwHTb0Fs31gbpY KrJTi4QorCmRr8oReDAvOuM8NoONtXVK92mT3lKqLsiKiUz7iKnO6xYEVJnPehPLWDkdma21CUjI TaHXShXQrqHOzEhjILMoF0Vx54e7zd0/Dp9/vFz5f/+0m4NcQcohealQwW7tyRG6MlM0LXskF8dq 61Pj0ssUs1wRooXWvJAk2jZ6OPPD9EczxG8oUiv6F2AwluCO06Z5ljocLzBt356bnKvEDg8Qg9iV fg6TQaqJSwE3iWYc40IDd4n7tEqRS0SdZhCvjgCswPGd2Zzkx4LZ2hrH4SA3ETXHIWDqGXr+hz6y fYlDy+VvuM6fDU8Y09uY4dzcLmJaRR5xvaOXYtDOHCo4ETXYVLV+BORqH0LL35ApybeBXmQD+/Rq wTJdPZ9gbb3zfv50wUvEc6a6S875iaWwFA08JN0NBM7QZSKNeCdIvSDvWyndQnp4SzQSlACnw2cE 6sRQDBmHzB7mcx0FJF0yUlNMfCHPtfJ5ccAOEAIg7l9pB4L7A2WEFnG2ezMorTs9Glnnpw0inUVw HmMBxJebisy4GRdgERdIG1kALfwcXS3vy4HLi6NV5z6r4ZTGt6+rZJZeynNt9NAwdQiflYshoSSU ZeBbThsgBEE7Shd1XK7NhoJMgiOwym1yklwAu6v/++WNy/OXn/IcrryUmG191xyL2G0EEtrlySqq laxK+uKi66ilwirdhMKqU6b/KrvZUaNAdkSBggQIroSjHC1YNPxFJ4CEqCRYqMSWXAJLKsLMdP3M Vcs7kI9fXl5f7/Y/vj09/wFZ362jmYw2KYON52mrRIfikAWEwUEq8+C/2/pcmS6D+HcI/1ftoCTD NbRfmNNOkBti+AKaQU4/pHAB9EA5QAoMn/lpOY7/CqLfRVIUpVlAGa5uQt6pZ+Qbx1koe9S+gH/O qMnALgs9b2j1QBo964GvS5dD2vOq9JNupeuR8AtOC0soEMtRtrclp8rCn23cIb0vKrTLNWQ60IFU Gsnpykojb4cWo7FUynJCc/z6/b9vTgXViFYSP424Jgk7HMC0UyG7kMSAuiHDi5aOCAQT3g73NXmR LknqdOjL8V6a1GafhS+wZlEgrlFz3Z75psdufgbJh/ZxnaC4GHgDKw9l2hC6buBkAX6O3bdpjzjR BLtxbZXsiUbQRVFC3ekbJDu6/uF+T124zQQPA9efNF0FIbDFQUMFfuyt9zurOrb1ffqydabKVQaK Pk6itV5W9/wziE4W3S7Ur5FmBJanCCyWZUHVNmRpvNH9InRMsvETAiPXKYGo6iQMQgcipBCcm2zD aEdhMkZBu94PfALBmgu7ddeeAwhsU1wHfLcxo9quaOBQRqmaM1HHzxnJSI96C1lp2WnxBrPbYEN7 Ta8ppZpqNPA3QwkQFuS5oRcDb1eUolBDjcMRZkz5wOLgnVUKd62btf4OWcg34Eg2MNTBbWjP2YlD 1psZrtXGCylXi5lkHOhP50cbvteoKQGXu67G13Yaq1znkwze2XFyQpGVHGmaEiKUpDQrspTiPDpN 2Q2FlkpIQx0HrCxoqFPacLFOOWhoRPd7/sNRQVccU+aIEFRk0s2Qqw9ckaT9l9QQwMSyrC8KSrVW 44yyaEpYknR1EnvjrW3QJtWwLmSab/3NSEPn0FGME1ZxvkREb1e+Zl+nfkStPyX5wtHjh6vB4B5K 1tfAE/gxci9cV52VTNzD4k+T2B+32zjy6G+X2F3I10A3lNaocnSyCyJn2WS327qKZn64TULolesL 65rLgJXhEbJlXxSGw7mGzAtIXOYeG0EkRtCa3qEUrttDEZgoYHkdpA4SaLvl+3H4sHNPByTR4jKM KPhYpCCdV9ZLVvvebgXfF8dzJRyZ5aCvbaSOxVHgJ8sEOLucjl3AN0encw5ViWSga5M4kYhRdjZx npRfc5GnVZ0yuo8maXaIvDjkK6o+u0c/OyTRdmN+R3etnQsJcFbnzXG/T7xIbbD1xda3Q9o/wt1Y i4IvJEme7rxo2U5GK4CNQ4l1T1Y+ViHFrgQY3wlIVCkyEJ3t9rikDuKde9KyOg09PeYWgcmm8iLt UvBX4n/tU/v7+0sATFquXut4I9BxtI7eutDilktsP3J0e7hMYN0v7AeWBduJ8xJHrQE4ru+cpr4u N4YhXoAMSSJgrKZOowJ10O83J4gQo60BD3J1LWTS+74FCUxI6FmQjdXNQ0hvDomMaHmukOgUIo54 p6cfzyKsp/y9vYMjMrpFR99HOCsYFOLnrUy8TWAC+b/Yi0GC+UkZqXwKmpUdQ3FjEl6Vew6nLGYC jWw1EqQu4mRtuA0WQM5UuxH+mbe1VtJuT3aurfiApB0jLXpyDMAgS/VFntt0+NkY2WNaF3j8Jsit Yfx4TMCrDQEs6rPv3fsE5sB1MulYrIxq1MqY78Uo24o0V/z19OPp0xtEZpqWv2HQtJaLnrRf3fIM fdow+Qyknity0N5/ULDTVYPN88ApFwRkec9diZghxfWOS+PhkToLystzgdWshTNQvh3w7yCKlwor EUMKCaPg/svaZezlx+enL7ZLt1LEheNSpt8QKUQSYG+JGag93EdFheiUXeNakROFH0eRl94uKQeh KCed6ABuLvc0zpof1NM6dXaNvNrWKZpepKTRkuHr2B6esaiLNZJiHIomNwzlGr5Om0cZ1PtOT1LW QTb7C86Qo1OIEDrlK0S2lRdDkQ1AQRvo9S8jc/+hyq6cG9IdgcxWSRil59ExI1dXD/shSBLK10Yn 4nzOT/CVmI5eCf3XyfjWLBr9pIKbYM71XJf5u8PncthVNBDAtnjZSo+zb19/g6KcWmxVYYd/tXMM qBrEodPdwGQeJL5hQk2bxl0JS2suMY7WCCm4XPW3zTre2hUT1rVny5rqNYe+32EgcrIy6E1V4pOY gXq/hZly5gu++XknrjGW9pgI8FIssDqhKIguOCinL/0FUvoRW0VzYna8gIVyThfWbTWgs8QHVlsw 4foH+5GYnRn3Cyu2PKAXKxHY2aEKHs6jmKZE/NKUZFkzrog5lvlxybZiHInxmtFuDD5gKSwXPvui z9OKWtUqyNbdKaWbfhjS49m406Yp3p8AVYCUURoOrEUykYXJHXSifXrO4W3Hf/t+FHieq3eunpnk 4I1pJjk0aeqRcSWKzoSoSJQzZsfor8RoSkucmuL69rv94WeBNXTf0cGhCg3hOFX3Xhv8VzGKJArl scy4/rgiOdnA9RB7HUqwc4OJ6BQaujZAl2J/fneE2qvjXWI1QvkK56vLal+kYJBi5inSxN7o5Ypp 9G+Zo/yQ4m0Wz4beTFGpUA1EDEImEP2l617km8fnsOwxq9Jc9/3LHj+CT7geINqOqXQTr7ATkkAI lw0yhTrc0Ku0g8vAKljtetZbom9HetqMHFWLP6BwS6D8lm5Hhl0S249tTabAPFeVOuQtFw6QNYIL gIa6ZzldMivXhxp+SA+CHJ00uJg03g6eBw5Qb1hTMOUzop3YBJxOUNWhpKHKn8/aXGVXlzf5unZv QEX6Jvw2vISDS7i8PSQxbDAfnxZI6QYmFlB/SDPyVUygwynrJIjLXnodAPYKb0bkrePdJtEvsOC1 h4OryfuM3fZ6kKo6JgFcEOxxAGDTZTVIUx1P+RrKWiCn81LJ0u7eGhJkGpDerHqzM1C+D162dUF5 mC1k+3QT+nQNcj2QQ7YQCea62oIRFbggTAc6rYi+thewzHFHYWC0KThcqgxtQ43aLePbSz90LJiR n+sK/fImHyqtQ/ACVJnpgTF8klBUFP99bwKMTZzx/zqyzwgs6EpmaHMKapNx3c2M89VRJYc0hT4b OrY5X9rBRBK10bVceL8hNHF8tGtnQxh+7PToDRNj2qm5dlM90nF1Pd8WyFYM24TvD0iRTLsDCQo6 1lPxPFWnTl+fR12+2ua+mVpNW3/m2gmkcZkzYEnXoiAjnLLQJQYfe3HJzwcWCU1A2A8+YrR4KJ30 cuJY+Q3SFXTxAhVdEikHqH5xVXAv7bTi+Z0CPdSqKp00CdQVCef/ujtzq4ZsE3qxXWGXpbto41N1 StTPlVq7sgFRadfaF0cMzItV+roas65CsRyr44Y7q3KQgW3U0Vmmsl7NCyP98ue3H5/f/vr71ZiD 6tii9yonYJcdKGCqd9moeG5stnNDPqhl6pVD8B3vHIf/9e31bTVzoWy09KMwMmdLgOPQ8fECO4ZG 9+t8G8UWLPH1WyQxuOUYnfIAA8vEM8hKpmdZAEhXluMGgxqRq9qoq7mUeZnyFXzGcFayKNpFFjAO PfP7OXQXu5b/Rfe/VQDOLhGbkA9D/wHpulQqlX/8zefjy//evfz9x8vz88vz3e+K6rdvX3+DHCv/ RL6TYpgdmXcFUqgbxnDLV3twJRx2YxVcfr335iBQj6P5ceA+X0JCMRt83zYmsZl8V3A2SGVG8Rl3 Sga5w1l5bETKQiwzDaT4OCeWem/GJHF3YTremqWLA60rCdwx8Iz9LtUdY+XhM9wEuckHasvmg/VU q9w8x1OVNrkjTaTYOLVDORY4zrk7WKF038u2Q96bAPvwcbNNrB1SdVng8EQBFjzEEWlHkshtHBi7 vb7EmxEb6AV4pJ3CxDaXermjkVZ4TZr1tQ4HZ0BdDTHCeTGR2EJgar7KO7PujkzlLTBjahHDIRoW rqOIjHfGgUczHCybzmHpS5dbD/C1MAs2PukxBdiTSEVcFSaLrIciM2H9wWKalAlMIvhuORisWwK3 diXn0KM9mQX63MT8iBdc3QPAHpuHMz9fkV5dHC8uWm77Tk/iCfDpEsjs0QS/kSdKYP9TEnVc37U2 uIAK6TG2l7T+GbCqNwHdztyXKlG9euOc67Nfn76A8Pldiv+n56fvb0jsY/5XtvAa7zlwL5a8amhb oVjAMp2CY0j6dt8Oh/PHj7eWlYaeM6Qtu/FjljnOQ9k8Op7GkkIW8nMot33xNe3bX1KVU1+sSVus 5BRVcY/yYwrWMmuIxp5HsYAAPCgjhaaUkQoYWt22UFJCWIScW6te4CCIH/KJOAUiRBJRslDEn1dH W8AKjPX2hvYhVt9DdHhjHXnbLZO7alQ1vLVRC1dSOHXQlgY61TzOYsl/OrO9NUOnyKWi27G7T18+ y/h3IrM6rymrSkh9fC8sKGSnNCrhD/EekXvZa0RKss+9/BPSzj69ffthK+tDx7/h26f/EIna+df6 UZLwSttMs1lg+C0fCifuoe3FJZVkEV8hOOtORW9C1I7rQfK7t2/8w17u+PbiXORZJCvlrEX08/Vf rh7CZQmaSYwt8yEJupA6UtiUGUpKaA/SXNI8/k35jhXiJh4f1d9nKZtadzHQ6OHUeDjzYtiVB2ri f9FNSMT8yXK7qbapD1W9Ev6yKDpoxnBtnS8e2iFuJqopL/4Ju6/9JPHwBwA8TxNwXzl3OYXbeXFg wxe3CQNRZ10QMi/B5g8Ta2MYX166nJzhox95RDtcSTgQYOn1a8MXBw1r0IQH7sqwtVlRtQNVsqUf lZkmYzqH2dMkDcJHKk7FpInWKqDjXuf5Bs8Zf6QDZhBRGK3SiEOe4F2rZNnjseHnOdo6NBFh164F 2ln1WyTBDe1QvSyJ2Bd9VTb0+IXkE6+45G1/3GTkxLsPGPM6HFNicY5pEFGLlsO31F7Cd1Vz77uH xItXFw9QoBRX80w+bDx/RyKgTqo5gdquMx5OE3s+FfmofUsSBDHVAKDieG0+gGIXE6yrzutd7JN7 BMqM73Rb1Ouv7yJBs43f692OGG2JiF2IhOr2Q8Y23trcinOe0KvMUDFMwfaSYqUqlm19SiCwvI5j j6qaY5LNGrPkH+ZHdNFaeKSZzqQ914Ben17vvn/++untB+FVOrNpLl0Zxdr52bQ7ELJGwg1jioYE ke7AQrmiLi6E4ANUn6Tb7U63F9pYcitphemDrEW4pcKB7OqISVyQ9HxoeOpxZbsnhNBe6gjXm/il FnYxuZE1/BqP0Mj8tZ6uzmnyzlCtSo2ZbLNaS5iuM6X+Y0pnzNMI6NO33ZHtLy6z1T29UAWro7MJ f7GxNfa2UGXrc7EpfmlRbdK11bDZ+1Qj/UfywXG9ODttAz2OxsTRsnTG0qF4Bhlv4f1ebAPnrAA2 XF9sE1m0/SWyZF1RnMnWRaoiC9Nf+jz3IG8DQuhK3Bjq50SXkLGkgumkPCFmrwTrWyQGHoNZ+ZaF KCZ6LEyv2MKtocD6vSZwu544tgGUi/ddQilNkwed3Zq0xgbri1NRvbOElRF3s6Y4KZqY0EcF6sRZ irOfdefjRWsQDfCEal7IDLVWFZRfv7xDf3n+/DS8/MetkBSQVRN5r8xqnQN4oxQJEeyf9iW5quoh 2Drypi4k2zhY57iCZH2a6iHxwzXmDwTB1tVHf10Q1UO8jddZBpBs3+tjzCXv+1/6Xl8SP15bMECw JZgNwBMHfEfuI46J/NUTwxCHu63OoZzLzq59qLvLdks+8zHzm4dzWZX7HrlegaqLomwUQGTJ7dLh pPJlR34wUbQHQ0GeipT9g0qNbpi4nEYCcYPJHpnjoTrpjEJ7uQicMq7hrljvkQmgyM3iLV4xMrX4 30/fv78834kOWntalNtuVCY8oz55265/qwQLI4z7a5SRhq0PCR93UseXn8fr2Bd9/9jB46+d1YXp qt1VHvDjkc239EZpeSXvKmw9BSqhSzCQDs6v6JkzASvACRSJJwk21uTtMMD/PN8z4LM91bpqleje Xpu3U3XNrQ8tW+pqV6Cq9lhmF3NZWdbNCaoCW3D19T6J2ZYS0hLdTSl4jGListtZajQ7VY/MqkNc q0zj7F5k3ehcIuquENMbju7GJk7rNMoDzmza/XmFTMTJuJplZWsOL2vgngS5c0m4vYQ4v7qNVyzZ JwaTOYKYBN4VSrcg/SQ2GhvYJsF5LiVY3dm6G6N0DExxGZOIEr4Cec3ynUzHgAvJJ73J21CJN66N JbCyucfHlb6ndX47mAloZlnlZKizm5OAvvz8/vT12Wa0Kk+azVEl3IwpxSSNye6P8HS2uUKkDLBn TcAdOaTkVgFPxPA9Ase5WhFAohAnOxi6MgsSi9nxVbZT/dUuYY1hlPLskL8zvH35EflfSW6fb70o SGyon1hQmUzEBFb49VvFE8Pdhrq6U9hkG5pLcUobZDMzcXfj5BhVkMyOm5gZ1J2TzyzZvvAcMN4B e6erxDYUeOcTLOChHhNKz5NYmb7m/xi7kua4cSX9V3R8L2Y6huDOQx9YJKuKT2SRJlmLfanQyNWv FWFLPZLc455fP1i4YPlA9cGWlF8SOxIJIJGpJXauYy9Q+hn05xxler2fdRtK0aNDjBab6rLBbycW GOvPI04XUeyOahzzqyDdijHPtVAnnlgKwSNv6ce1iK66RLHTBi0jvE5SobjaYoqlyJwc+Ext592O rkqpZnMn2qVh3sNBrc5St5wJe28zqaPkl/99Gs1D6oe3d6WQlFME5+SuChulGxcs710/Qeq/yhK7 +HOqWcC+kr8m5/oDHqtWu7D0uxKuH6AF5Jbpvz38eVMbZTSC2ReyEjjTe+UZxkxmbeAEWhtIELqt UjiIZ0s1tACu5Yt4pRzQiaDKQSzZeZ49VY+qUujuR+WKccrKjbsMRPJ1kQpYChkXjm8rZVyQaG2E jCNB2gKzB1w8ShG0s+Fof2zbSnqfIlP1KB0Ktj9rYcTaPBUcWLSNu5M0z66bdKADHrlsmtzc8XSU duDrwEr6PBK4AY/gmOHsm3CpEnsssmMvFKgu5cg3IdMnaTbEiR+kJpKdXYcEJp11r3yOKNPVCxMF wcdXCgsylJ4YqmJH94onz8y3l8NnTfVViHV6SA3i9PnmE/PBdbECquWKDu7zT6jGE5wP1yMdN7Tz rocTjAg+1Z+qWLJyMHnK08cJo1OVeHssqusuPe7wq/QpVTrcSOT4SKRoLC6qBcdcgnTXiWVyylfT cW/2gn08Tj72ULbdBV5BTp+WfctKbKbJJ5ejJDlBdv+sEwfTTfnBJqDHsUlXDxuWIvCRBpIZvFCN bSuVmvhBhI4iJxbhW6cZeUP58YyUiqFFK+2SrGUgOEAthe1AvdmgdOkg90mARofCId9Gy4AbgOZm QOQFEAhIAEYSA+IEVpxBSYz3ZrOgqDeej0+Tp/HI5xl7x+YmPhqYM9/oQtmUFt0QOB4cmN1AhS/a 88/ly9xIXvGXmT96D0SpHrOeOA4Sp3PT6Nu/BUiSJJBmV3cIhpB59xxF0Uielkf5T6pQ5zpptEUW p8PCG9HD+9OfIAT0HBUtj3yieP6R6MopwYLUxIFnZypHYP8YbUVUjgSViALqU2oZIhEeVxJP4kLh vHAM0UU+G5AB3w4QCxC6uKyD1TRA5UEDdeZgRnQg3z4bH/GYaV5Y7M3DFNVoPX/jdF1nGC4tqPZm INf2NFiBa1qlXd2j4mX0v7TsrlnbWYLhjIx5H8Kb+QUnlhYQByuriZfBPd3Zo9O9iYNFZLgEZg23 zJor2GIgdrc7VKJtFHhRgP3FCY6d6qNFECcfzEILMFMd6A7wODA9aC3lKiCx6sBpBlwHAlQRTSHZ BVTxaO5gIvtyHxIPDN5yU6cFyJfS2+KCalqySwcm+FbqWQ5xhL79V+Zjz5wCpgK4Iy4KPVmVhyLd FQDgaxYYGwKIrIDuEUoCE1SAIaOaAJh+DHAJLoDvuqCXOOBDSc0hS/AKlWdtKWA6VOiEMAeOEXT/ pnCEMZgBFEhAg1K6RyI0uFi8SuV5owJ4YL3hgA8ajQMo9igH7MVCfVlnredgcTVkYYCMteZPi8PW JZs607WDmaGLAsVMau62OoTUCFPRgKojNJzrCGoMVR2vSWwW58Py2doSSGFYBjhl6gQuxpSOzs8l OHBVx8kKBBVUlQM0XpvFkReCUjLAd6G0OgyZOIIrey1ogMmaDXTOYOMUmSdaVTAoRxQ7YPQzIHFg mwDLfJOnTz13Xao0WXZt+RuWVTZ+1ZNY7HRq7Npk/vZcj4uTkax87W+sLQb3dDGypjHsBySTKRmJ I0r2fkJyBqXE6D1hTSGqCyoS4agqqCZBd+orH1MOlyAZQoHwrESZnEtU95kf1StIAoaVwDYeEp99 tg9C7nGxhoKO43jecMhb22/0w9BHAW7bug7DVS08z4gb57Fto9RHsYtOumcO2ogxGgXlIdWeosnI B1OMsniuiyfGsrhEa2vLsK8ztMINdUuQUOB0MEo4HazflO47eNWjyEdlr9uArA3aU5mGcQhU1dNA XLRdOw2x6wH6OfaiyNthICY5BhKSo5pxyLV5HJZ41kU3Z1nfxVCWKooDiyNqmSc84MrR2bQHexmB FPstrB8/VMfH6Wzlgt5NJr9xS14TxQh4PwOH5px+bo7YZ9PMJfzpcX9R1+LAohUhIT2zs4he/Lkt TfhXx4C58dx0pnJ+eH/8/evLv+/a19v70/fby4/3u93Ln7fX5xf1Rf/8edsVY9rXXaOY2akJ2gLk 9c12AG01nivJyGISyHa7LnTMJ3ME1o9D76OPQxd+LK7a7Z8uiqtZoyE97JoLTHa8tFn1NDj6bF3l +VKWPGbISgmnmCKoGNOKv/Z9Skd7nl495p8QpZH2VB8NcV0mliEhHeVyHNBKDOzTOrkATFiI+QAZ bQoBsh3O+eAQB1dYOCdZb9T8vFYZEX0Qps5cv6wn3R4uvuPEH+QvfBatFeLeu3ZDCWo/nbmCtjwe LuiLyfckqtB0R7NSEmY047ELq26Ac4DbvEEgci+oz9nG07MhURS6KLWyvtD5mw8KJTpW7UicayQC JTMqqkvZbfsmwyNnYGabay0hnL6gb/ldCM6S+7u87i6bDfxSwKvyJy/TobjHkm/yLbWWwmiiiuf2 UKV9tD5ax+eUlvpNaPclVbpntGkGw3QMXWQis5McMOqHnBAsQdj7FZN8YnGJD+oMWmpdlXVEHGIb JVnAxqA6rsrQc5yi39iaQdgeqUN0k9U+n3kakT2jN4jcPNtO1Q0SKBY5XqzPiV2bZyqtbll1HI3I XGWFOpEqFalLVOKxruQ2FGabffrLfz+83b4uukD28PpVixq+NqjLC50xZ0klFXlO1my21Oe0yyV5 ZdXNB80R22Tt9UGKlENJcRoJLK5k0/flRnMVDm1qaZekMrtEVv+67htmsZGVMHGFw5YNx3vVVJ8D wrH02qcjR13KTk1E2bdUGuyNJHtOtiV3mD4CeezqNLtm9cGCau78BKY77ln8lf724/mR+ZExY9VP w2qbG4o4o02GLGgkbvMxPtWuVewU+He9FxFipEapthdE3HcRs022nBrx79PBjSOHl9RSIu5w8dhr 0REEwqJ+bquCTSDr14xnX2VGfTjQ1xqZtnuQOOp1MafnSRCR+oxe2vDkuCGKloUwTilV/70MqZkb XFsXpH2ZyQ+nWDtyuxejUONOAbsfnBkCtVS6b5qZ5oHkcbBUDlYHLRFmX3+/8RL5EJ/TxTPOqk3l +OkM2dHFnHlM0m7LeAtlxFPMjSSieuvCgdYN3cRo5QvNtdPijyu4G1DVTLuMY8i+DH0q/C2OIEaO ILhMziRGYD8wP25q9zEaLa9ia890q1L2xsoIveruiWXCwwXQPKAutZ0iO+tf/Ss9fKGCpsktpqaM 576o8dknA0VwXkdPV5DRqdqMhvoUmKx2zAkgtFtbzwAznYVueSe9MMCrgRmOfc8oZJw4ESC6ASAm iFN1S8LJQ+hB1wsTaKQz7a5VsmZ9LSFdMaDAqwyS7MZmPWGM1qoN95lucSTEU6v1p1h8qZi8qVi+ WkzQZaJh4sOpWTAEsa3XmKupWEtG7PxUYl9kcMnrSz8KL8Yao/LYrwM4XAeOsfhxot2km7Pcf47p BMArZLq5BM7q2jcFdRcBBIf66fH15fbt9vj++vL89Ph2Jx5xlM/vt9ffHuDxE2OYV6ApIMrfT0ir jXAW2mW21VY8JNPbie480trzqLgc+swujsWjGLVLdbPCMbmqPuqZ8OMIHjy9gX5T+TjW3JyxJyrE ka3lxBMX2WJIUCJtGEtPYdSqcrrFTc3M4BJkZTjVbXr9o7chAwJ4qyElbIghTo+h7+0Z1l7pSPQ1 5YKy0FVCPn2fTlDQJJyw9GhblyhH6Pir8+FcETfyYPpV7QUePoAX7TeF6bLVRn/yxIn8qZImj9nr QyP3Jtsf0l2KrM65Tqc/LpOISEHMej+qXOyEhDdEHRBouDiBRFPCzvW4cGnJsJXLmkzsm1oAO8wl l5VhMT/VMmioorwE6EJLiL+zHxsrSLOvxQM8XT2cENViU/1GR0QErKrlHk0RxIFeR/ixjcG+1Qq0 vEWVVa99mqfMfkTypj8dW88DWw6xYNvqLadOYwx6uW2XwPQ2768Lx7a8sKimTTUo1lELAwsFchRh yvqj0k4LD4tW3Lcs0tMaF9USd1QYWaBR68RQKGtoC8b2s3EYQCgPPNlaW0IO9EcLkWmbayLTDg+0 8bRrtJwZzmxibK52hjFKNehiKYLYIX5QANOQErLI20MN8SyIqy4hGoasbaTxlx4CLwhgH3JM8b+6 YPqZyYKI3dlqpmVf0Z0qzJNCoRuRFGF0mQk9OH6Z+hLBkcMRF5eUv6dYL6n+HFhFcLPpepOEiIXO UhoKhtBr48IjbekgFsgLpgLxHZ8dC2xYHPqW8nIQbrJUngTLDmOPp0EBnAfGJlCHYmth7ZtXnQ1u YTUmYeVlSyKGxvoS03iYoitTKkcEd2UqT5zYypG1hHYr0lMkpjbwCR4ybRwHtp6nWPiRuKvbT1EC DxkkHroTxwKfIS6UdwwJbL1MMWg0qbLg8aNvUCRkU1qALE38wCJ8p839anHa7fFLQRxbEicqfS3W xBrXB9XmPAmc5O25xrnzy8SurfE7eY2vr3PGu1qI2Q8sKgYH2R7yJIJRgYxkI8OhOWb7PusKdlc0 sHALH5SSH2R8xCNONlYrwdRZS/EGP3bWV9v5BAYg9QkL6N6t21Q9AFHB/oMlvg/qOAojSwL87db6 99WObnhsY1Ro6pum6QfLs2Cd99QV280Ru3bQedvzx2ny/cB6DcRe5nqq5QM+Cf8cEyeEOgeFYteH GgCHogNuFrpBD0gI4yopTNoZiIq5isGzilHR7lmz5qcmH2at+hPRMOLBBdh0OKJhCbEVWTuwkDDd 7Yi0swFxbKS9EXMdt1pNyXcJwnzok04TSlW6KdXXpV1mOyjJlmNQiXJohnJbKntcZk3BMfaUXw1o zJLYR57qJJVRhY1Gik9wGIPlGJlnI/yEUmHQqln1Q6kTNF+bjGh4oZpRJrLbY9UXMWO0snRpeejp 7rs562xKiyytIVmmSADdL1c2OTMxbvLuxMMd9kVVZMp55OIvc9rQv//1h+y5Y+yXtGaR1Y2uESjd wFbN7jqcbAzMGmZg4emtHF3KHMdYwD7vbNDkV86Gcw8MchvKvhrVKktN8fjyejNjtpzKvGiuSijm sXUa/hZSCbucnzbmAYqZOM/09PT19uJXT88/ft69/MFOV970XE9+JUmfhabePkp01usF7fW21OE0 P80mK/NQEZA4e6nLA9ctDrsCO3rkGXDjgmtF+TP6G7IRFmznQ5MXWhnoYsd8bwBqXovmLHdyw6EG UrprDoNpNJ/eQ6xj7P1HJd2nIxsyot2E1cu328PbjVWOj5XfH9557Jwbj7jz1SxCd/ufH7e397tU RFeS4zLy9LTBYBSdM+VP/356f/h2N5ykKi3WZXRw1TjYHYfSC+3ltB3YWSEJZSj/fEjZFT7vY0Wr 5CgPu9oXPEzOtWr6njlXxJaSlP1YFeaB3lxBUAVZ2piBy0RnMNk4TtgVocZMdADXtBxxaTI3wV8q fSjSIFJ0DCF8Sj+Sb4x5QSbaYm3Gw+MxqjVfBst+h6aEZNoitzRgSp8ougxLou5iS+g8hub9xqIY 8jLRIVHy3+yl3qfdvbKmL2SktLFM7+lmo1Ar2qVdUTeHRqXWaSK/8ZH6QXamrZCvFzphjD5K0yhy wr1ZzqHYhnEItUuOi8saSeL41YiU/WT3ZIwUESxOy4nZP+OhKfBu6NIMB8+UGexFTb8MhWyPIVOv fCGjGpwK7op6KO71TwR1/MR/1MsxwV2zwVfRY5tvSbitkdGajHeu2Y9dlyqhJUc6C8ANiZbKDZ/b fSM/2FLI40eLmFPR+khHBpXqv8ZR4GgJf2mqoSsNQTCSRcKu86gvUq6m0C50sEpzek2nhGzTtyDK ememV6dV1egL/Pxhr38kltyh3anjfBY2yzDXFv7Rph8t4kLpGe3iT21J1+iyb4VLdjtPRkXv0Wgk WurQ98NrphjATZAXBDYkDOhclENN6lluClux2FU8bUn2ZubUbTd22NCTjNhfgk61HspubapTedRT UiJbCRIPF/VTp4q4sHRjoo+VcfOfZ7Whzk1m3llh5JvWvhfRTX67NTpidjCrVW58+ZL1pdtdeov6 J3PSwfYx02nA+6CxBlna8Rytbco5TqWuMI5mk2VfmhUZStqQ2D0JmxJ0Rrr03zQjLIrU2sThCn7M dCXavDAftm3RU8BqstimWGfnqazRBnEChQMf4xv607KzlDmYrkg3Cv2voQ+ydbELyQnPqGqPMmBt o1VJQujXw2nSrrdPr7czcxT4j7IoijviJf4/71IR3dbQebdlV9BvobqpqpWSpvnw/Pj07dvD61+S zsnh9MfXpxe6B3x8Yf5C//Puj9eXx9vbGwvkyQJofn/6qVgvjePqxG1GwIDL08j3sG3VzJHE0HXQ iBdp6JMgA2kzxGK4PIqYvvV8i3o4ivje86C/zAkOPNnLwEKtPDfV6UN18lwnLTPXMyTqMU+J5xu7 1XMdR1Fg1o3RPeS9YxxkrRv1dQtEVd8cPl83w/ZKUTgi/l7/ighmeT8z6j1Odc5w8nQ9xaKR2Zct vDUJuuUeo7RpdRAAuhFZcD8GlWdACGPMLXisOghUAOvRlODasLgY63iArw5nPFzD73uHquPW0tdV HNL6qUf0c29EBMY4l3FjveX3zFooGhVZlZXDqQ2Ib6bKyAHoVwpEmi83nePsxiv9N5yTRH4JL1FD kB2lr7TJqb14ig+isZXTS+LyA29pCLOZ8aBMHFkIS20c4fvOUW5c3EATdephDpw+t+fVHF3smU3i gI5epJkW2aZghF/CLxwedJAu4YnRWYwcyJe5CpkNNxNKvDgxBGp6H8dgRO/72FW9zWutKLXs03cq /P68fb89v989/v70hyGhjm0e+o5HDEkvgNgz8zHTXFbV/xIsjy+Uh4pcZi8Gs2WyNQrcfS8nv56C sD7Ou7v3H8+3Vz1ZpnPRce2ScamZjIw1fqEePL093qhm8Hx7+fF29/vt2x9SevoM2/eRB12cjHMp cBXHTIIKDmepUlSXbZmP1hKT8mIviijLw/fb6wPN9pkuX+OxNShl2jmutyJUSiUA61jG+uKZJa+G MCHkeDHHaDuUB3buXplTaV8GATLzmDNyiW9+xel2BYDBqnnDQofORxY4AdOdVXc9Ny8w1KDm5Ia+ 0UaMGiSIGkPeGKUboXQDmBulghQoFSyTzYn5FrNWk32GhCGn24UogxNQhshVPd/MdGxNNsOwmlEY ISpsqDiW/epO1ASmm4RopW5OxIsDbAcxrp59GLr2gVYPSe04hpjnZM/QghmZmIsCJbfKXfBMHnDa AyFAuaPAySHY7Y3EAS/hF5wQ0Jl953hOm3lrW4xD0xwcYnBpgrJuKrDH7fI0q6F11Ij/K/APqFzB fZiix4sSDLQ+SveLbGcfnZQh2KRb88tiiIv7GGo2WEpzMV1Rmvksdlr2g9jUztL7yIuMuZafkwgJ UUYP10YxZYid6HrKalh0pXxiY/7t4e33laUmZ9Z09gWRvYAwFxtmsOqH8sqnZiMW97Y0V+NpIdex Kf3xuvd44Jeworw/3t5fvj/9341dQfHV37gX5PzXvqxb+V24jNFNO2FBr61o7CZroPJWx0hXNtHV 0CSW/RIqIL8gsX3JQfVthQTXg+vAWKQ6kxo73EDh6ziVyQ1DXESKEdUBs4x+GogD9zIy0yVzHeXx hIIFmm2WivoOtHFRSnipaBpBb20CjkfYq4jElvl+H6vO7RWcKaqW2JrmWIFmeDLbNqNrhbVdOQof 6ehM3tqIVZcdGS/0hrUUg2pzH7Z/HHd9SJMDdi9jYY5p4kDbQnViuySwzKJySIhnmZwdlcemKcnU 9Z5Dui1GP9UkJ7QNfWsrcY4NrZqPlxAgs2Rh9na7y0+bu+3ry/M7/WQ+y+Rvc97e6e794fXr3T/e Ht7pduLp/fbPu98k1rE87Ci1HzZOnEja60gMifzqRRBPTuL8BET1lcVIDglxflpNBgQD1lC46QKd WZaXKxyO47z3iLoRQw3wyIwz7v7j7v32SreP769PD9/UplDtHroLvrDlB9mjpM7cHD3I5bUq2TzW G6M+xLEf4UOgBTerQrFf+r/Th9nF9YnZCZzsIgnNcx08dQ4z4v8T9iRLcuM6/kqeXrw5TLSW3Gom +qCUKIkubRalXHxRVLezbceUXZ6y/d703w9ALckFzDp0uxKAuIIgCILAhwKmnYxvecOavLLJ/XVA 8EqgZwWc+colHJbPHqhTmcJUFFdafcc91yMNqvNUesZD2fkrOgC1vK9gwj8/hNZHkxhJ/HtdG6nG maIfhN4aQO3LYxnR1rf7OhZKm1lveMrKeuMSc1SBkfU3XbJ+AbstJbPl2hGhZ4oMzKYaqc8oboMv NZ6FzbvVP50rVG1WA8qQLWwQ6pYV0MGATrF8w1oLQXI1eT6a5ERiflHA+XvvYp2xz2trRKtzZy4I fYmqj33mJRhuLB5M+AFHn0w1oOJj4sMdItzfIbrRGwHQB49cc9hJSj1BdJQ+aDoFwlhMbjOhrriO 85QEsBtTT5kX9No3PS/brgj2oUcBAxKIhkOLF1Cqu3r1IfFBD0CPuTpROTqe9h4nL6M02ZvrbhxC NYSvAg0JGStf7Iz21k5AndXL68/PqwjOn1/+fPr22+PL6/Xp26q7ra3fYrkjJt3R2TJgysBTPeAQ WLebKditNjYI9h23nYg/xHD+891isciSLgxJJzoFvdHbMkHVdwkjGObJ5CZcx56xZUX9fhMEFGwY b6S1Jk6Y45pyqF/q8Bd5xkVyX6DpzPVA5r6ZltmeWGZSqAaesPQFWbGuMPzj7daofBZj5CZjYKR2 sg6XFOyzO6dS4Orl2/Pfk5b6W1MUeqmjidjaCqF3sAuY/H9DydP0aAdg8ewfOxsIVn+9vI76kV4X CObw4Xx5ZzBGdcgDSy2TUJeuAcjGXIYSZowOvspdm/wpgebXI9BYw2g1sIR5kYl9VlDW1wV7NlZn 1B1AJTYFHciN7Xbzf2b5/BxsvA0VM2xSrVvY502xjNI7NFqf120vQmMVRiKuu4CZleasYBWzeDZ+ +fr15ZsS4+WfrNp4QeD/h+oSbRnMZpHvPTyYFYnGkEb6ico6OMlmdC8vzz9WP/E68l/X55fvq2/X f7tWSdKX5WVICY9+28NEFp69Pn3/jPFsbi8JlhZHGeW8fcyiIWrVC8ARIL10sqaX3txLGbw8D7zp j6Hr7U2iplqFH/LmCRQ2zV0K4UkD0u4s04kljGQQJJJJwQQrUnTt0Qt+LAXOdKPtwxM8PZCoVL5P YCU+LOKqd+cNWR9ZOzpAwjaot3gkKFj0ODT5Rcj8sfRmA8RFHSUDnMETdCAqT5Ej8tI0ErQfACK7 zhjPYxuVZOeAkoRnrBxkkEjHWLlw+J3I0WGNwoo4Z4sSgrFQpivgFQhLw5CqfIWe5nEOat5WL230 QC981TN7hlfnRtomH/bnO0g9N/a9Bo0aTFtqdub5GlgBq1W1UcL0sE43qAz80XS0JzySRWUC68iJ rur+yCLKuXOcoYPiZap9eMzu8N8RptZRZFvHj1OevQk6Q6ZXVfwMPKnWtuDjpAIU7bg90ySnIU9o 322FRBELJpZXVS2LIJtQHBPaRXShaDPqaHJDP4I6t50rUMalTwpziCMykpYUa1mUBdrGhSOLPqNT /wkMNt2s4f2ZVPUAc6jjXBhrn7cdOtE3vQ5voooVN6Xpx/fnp79XzdO367Ox/iQhxngf0EUShKB6 BaEQiF4MHzyvG7py02yGCg6Hm4ctRXqo2ZBzDPsQ7B4SF0V39D3/1AOzF2QpwAgghygMNWYjZrxB cQzeSMIKnkTDYxJuOl9TKBaKlPEzr4ZHjP/My+AQqSlCNLJLVGVDegE1MlgnPNhGoZfQDeMFxzcO 8M/Dfu/TLm8KNXB7ARth4+0ePsT0884b9buED0UHjSiZt3HagBbyKdRSJzzyYl4h5FU2iRkYL+9h l3hrcjpYlGDniu4RisxDf709vUEHzcwTOH4+0KNV1UcZ0VzyGHkJQ9JutzvVRfRGU0ZVBwKsLKLU 2+xOTM02d6OqC16y81DECf5Z9cAENUnXcsHkI5i6w+BMD2SdtUjwP2CiLtjsd8Mm7BxMC/+PRF3x eDgez76XeuG6enMWHSEX7g5VG10SDguuLbc7/4EcA4Vkb4myiaSuDvXQHoDhktBzrMP5UfM28bfJ /Qm80bIwj4K3CmTb8J139hw2TPqD8q3RVKj3+8iD7VmsNwFLyZsd+rMoIkdrIalTKM41XIw/1sM6 PB1Tn8xOcqME1Rj2u/fAVq0vzh45iROR8MLdcZec9BAVBNk67PyCvdVX3sHMwyoS3W7nqFcjIWWr dJaO4vM6WEePDUXRJejWDcx1EnlIDmnX9sVl2n92w+n9OSMX4JEL0OfrM/LyQ6BdMS00sMQbBrNz bhpvs4mDneYNZ+ya2kbc8iQj98kFo228twPm4fXLx09XYw8GHUpQB6I4hwHFcMeoIDsCOcrjwiSm AVTJbN+OqSygNFzeRfew9Y051HGjy51+fIFtd7CeWmgkJcsiVKgwD1nSnDGSUsaGw37jwekwPbn1 XVDZm64K12TYqnFwUbMeGrHfBoSMWJDkuwZ5OOHIoHyvRdsaEfzBC842cEyVqAFRu7jNsNaGLucV KDV5vA1hoHyPdNWShLXI+SGaHL63VmcMPB3ukiAkL1hssv39+kivO0kG+0zarH1LhAFCVNsNcO+e vLibvm0SPxCevzE/X44XUXXehmvaC8Ek3O1J5xGNTD+uWCVsA1dP8Qx5c5rWSlBQzpcLy3ou86TZ b9auQSHPBBNQ98qeEJrVxBBRtnxRP2ZdFR350ezNBL6Tz0yOWhs3WW9JJt62cCB4z0rXKTUr/aAP zdUGQjJta9NuM+WCyVJjGXY8EZbWVKCQudzdrEBFw0AHMnzA+563j8ahqeD4QrxK6nIW1Onr09fr 6o9ff/11fZ3ylikyOj3AUSTBVMm3cgAmw8dcVJDa1tnII00+RHOhgER9ZQq/ZXq3IxNEiBNsQopP z4qiBRFvIeK6uUBlkYWAg1jGDnD+0DDiIuiyEEGWhQi6rLRuGc+qgVUJV1Nkyw51+Q1+GxrAwD8j glxFQAHVdCBubSKjF9qTZhxUloJiDOzEaw1eRhj/n+nEhyh+LHiW6z1CusnEpZPj6Rj73/EqI1nn 89Prx38/vRK5R3A65KIxBqIpqWtepC4aob8hQuAFtH7dPK5CJ45Sy4f16yi/luFGtIIi2CZhtDuj DF6Kjo41gGOSUX6vgOiRk7XiswMzf+MT2N/XCqw5qm/4AYC5DNGyrM+E8BMjGQYuyCMHZjEaPwKd CXhvFEQMEYtm4Re6yy0/mtUj6F7lEu+KRzzjaTblozO6WloZwZzSzghYlrROurBRd/HJQLwjzuSr DvRNxzAgLtOnBkFqL9SiBOUog/DoqAVfXkD6i5YbOIpjpjO04ML8PYSeOWoS6tO6R4ovhR0cXrEa JCI3l9zjpaUCnAAmTFJ9WBBANFuCzU4e6zqpa9+o7NiBTusYwA5UVWat5qh9pMmbMtTFStSW5p43 wWAbjUCDOEaafVRDxr3oatoaDeWcSjgVUCoY4nxDvnWlIcsRMA5bYU4l5p9wsFMp4t4Yf8PAi4vq ALrLuVtvSL8YFFp1kaRcT4MlmUTGA6e/KRkejetSH0u8Sg8METbBZGShzBLmM5aONI/7WVtHicgZ s9aYZRrVsAL9SOiHjXLkdj7tZIHyGUNXUB6wZSMPprfuIWTSkWa3e0rtkrvq4enP/3n+8unzz9U/ VkWczDHSrGhoaK6Tkb8wfACPtXMZ4ubIB0QDF3FkFmDhH7sk2IQUZgzSaoGX1FQWxgqvfEONSSIL PdjHDR0lGN6XNmUZVDuKdW80SloiogQqPi5BJoN+e5RgNGgeqL4WcDTakAO0ROmmmoY6O5kjTBkA KyfbDeeIw6hUftwE3q5o6M8Pydb3qHO2Unsbn+Oqojo25TMg+zzN+bQq3uD9+ftjFgk45JhBVWjl dTprTl4P3368PIOOOp0eR12V8g/Ai3/4U9R0ipBkwSrnK+mfMIHh36IvK/H73qPxbX0SvwcbRaDA 1gHKUJqiu6pd882f4n4fFvFQZ8rOgb8GadsfpuBgN1lxQ0GnferUrpDERd8FwdooOcEIoQtmaarl gDF/JOq+0pOrV9pBUc5EDodHS+rleqwV+Anc1HWsvQyia1mVdXRwaCBsoxPRt34sUSkvYxVrpWoz ekF9v/6JvlbYHOtsg/TRWg8XJmFx3MvbCRPc9mez/RI4pCnROIluGj0L5gLk9DW7xIueuvGWqB4O uIXergMrHnllDSzr6sbdMDjIHlgFeL2sOMfbGRPG4ZcJrFsR8dasNa57OnNOLqPlxFFRmAXJ9x0G DDrZcZQ7B2+jvkaVyEsDpyqhA4E/srrCKy7d7jJD3QPB0MnGGAVWqAaBEcLiujR7ywpKLkvMh0d2 MckzVh54SxlVJDZVHY4kpKhbXvdGV/O6GKPV3cqWEKOLWs1HOI0VCeXJIOvptvuw1WuB5hNL4PHC dEAfo20yNnt6igrgvjvNYSd5d+hq0KU13JoQyjHOmgHqDMC76NBGZmu6E69y0hgz9rQSHESPWV0R N/WJGcNiqDkjqKqPLj7A0ZkEjP7RBMcfDeXMthCk2itaBLd9eShYEyUBzdVIkz2sPY2tEXgCBbuw uV2eBUvgM2bCC1T/TeDFyqaL8JaNi8219Hnc1qJOO6M0vCdqmSESyr7oOMF9lRpbegS0aug/BNWt uTg4Jour0FoMy8m1+BpWwQhURvMa1kXFpTobUMxNHickcFBj5Klw0oigEqDG5FovCw1LXBsDHBgq eY8ZG+KiadGnxZ4uIE4o7Uhi6ziOjLEAaa8FyRxh8prYAGp7hbw61XlYEqHlHJQS6kgv8R2LDGkI IOBe2NyZ0UNoQlOYUrLVna6kVEFXg0iQVhFZThm13bv6ohemQomOwDblWvsgAcUYA1EF5iBrShOG 8TvLCFMeqOWrcPcG1qNuNDQi1Avtg/QDa2uzvaeITrAscZyXdWepK2cOa8PxCVahj9cMscTMh0sC ylJtKSoC5C/meeopXzep8xSNMD8q4yYIAuMl5PzKndD55nzptF4qc03aumlDXoBMxGMk86VSs+zF m5SsEG/k5goVR0+7gG8/r88rLnJHMfKWHdBWYfR3M1qrR+lWncdcv8C4TaESWVoHAj+V+qwiFEOb o3R2DGBfNHw4qHwzFlVVcyowBQynU+hhJIZclbqAMSs1ssNruKiqQMDHbKjYabKZ2I9B9EhCOKdW SHQZLpqlEexRA55VuejMZqRQA694J6Usd4SBl+Vo8cSdZHWXYZzhpI+7ggv6RmOmS7iIDjh9ZxAa VVQ41tU0RULOUcYw59/BnlqZ9aAHWV2Bhs3QcTfQayz1Df+2yl5+/MSz7vwUwUpmK2d7uzt7njWp wxm5kIYmhyyOGgKBdscpliuFnaxp5kSNNcGQuoZIEpTdI1FmeYTzPlkgesg65+jQxqW7PkZ2XUJb vGSFyRy6jsB2HfL17MpuYlNRENBSjU+l1j5UTVzu9JesGh6PJZSmpxEB20StowItS4iGiboHn6xX 0KaBBT+mpr/XqPJoSJtKyKxpiHS0xsU49bkPfC9vkMjZLC4a39+e36QJt4FJowoTWNVQl80VNckr 9Z3hr53Df8OEcbBWX4tr2KKJw8Dmi1qdPEc3Fhq0u4eO8qeI1ARWP3AsYHvSNZp5hpH2rXYpU63u eMXe96dR1opeEDCFdAYdGc9/j2/JHnZ35heLOMRlpNeLUBkDuBzzf+ilTkGr4e/c3sNQ/o53Eqv4 +ekHEThJivbY6CmcE6qOGRxzSgyqrlxMaxWoiv+1kmPR1XD2Y6uP1+/48Gv18m0lYsFXf/z6uToU j7jbDiJZfX36ew648fT842X1x3X17Xr9eP3439D4q1ZSfn3+Ll8rfsV0L1++/fUyf4m941+fPn35 9kl59qJuSUm8129KAcob1ysvySZJJQyWlKAhi5KMmeqOxOS1ve2PmM7FaSOal0aSjLLrQxtCViAR Y5ucHCdpEszw29LW7xvRlMVGhUvWS9rYqpnKxm5T2G0zKZaW/b7kh3n6CRP9dZU9/7quiqe/r6+q JX/5sIP/bT3Hm+hb8aJxbQES3583nkf0Wdogx+PtqAfKRVRGwH8fr1qWFblUeD3UVUE5cy2VYIoB vSJeHRkc0SMbk5zi0IZIHdmcCIm4OxGS4u5ESIo3JmJU2FbCvltZSqiNFDo2xd0tWVI8sgss+cqS cBJJvlhasO9He6wODmzIvJLGR6VPHz9df/6W/Hp6/s9XvIfB+V29Xv/315fX66jwjyTz8Qhft/6x pCsixiHAQwBvcnxreW80AnpREmQOn5qFQOY/gSODEAyNLal5hsoxQCqLLOk0wYc+ocyuGkmuuTpq qFKUDswo2eg6p1sZR72oBO22xrocgT421yx2opfNvCfmZrpxNczcThZFTs6y4UhOILfRXohdYLQc bVS6g8kNeudaUiG6XWLZODPcnoKKOBw9Di5k+xj6/tbRrPEO6X6r4jxc+2TZp5x3LGdRR2Ixf93o 9cLsI+ZcdgM6rpk+akKN9z1DuSfRrGxYRmLSLgHFUc82oKCPoLi5z2kTEW+i9/dHhbd0s4DlnL2d kYOph88t3/uBnjRRR24c2eFVFpI+TW80vTmR1fO+J+EorZuoGpokuoencYWg+/pYH/CNQ2xpOxO+ jLuhDxzBUlQ6tGi/SVSL3Y4MxmQQ7demCrlgz70jb5pCVEXH0jEQTRGEXkii6o5v93q0ZgX7Po56 6vmASgJSDM1xjhJEEzf7M+W9phJFqSUlFdTQREnCXIeZRUZh9qoTb2HJC0GLsUt5qF1CsnOb8Rah cGDtOyNTmE12BoloqgmzzDo5JqhupqtHqt66rHjl1KyUEuKaLv2M5m5QwB3ln7jID3X1xv4gRO+b euzMAl1Awvsm2e1TbxfSn82HgWXL0y2h5N7HSr61hBQAAzqoGmKjpO/uMPFRmKK8YFndTdewun3Z eaCe94v4sou3Vh7A+CLfjbgNMom8CXXi5aaC/gGO2qVvBxHmQMKHMuVDGokOY4Vk7koEF/DPkfRQ l523zBGgFFYxO/JDG3V3djVen6K25eRLO1kMs0+dLBegPEljRMrPmJfMqW7h/WZq7CkX+MDY2NkH OZJni3nQvAn/Bhv/7LKQ5oLH+Ee4MYXojFlvvbXFLbx6HGBGZIjfO4cnmJdawDbmZuCuJDXE5vPf P778+fQ8nmDp9dLkGkfMZ58ZR3S4qhuJPceMK8bLqAzDzXl+CYEUFg7K0+FYDN6sDEfr1kXaID1D s5MZmqcmq/pu0XAbIh06dG3n3Yf1buctfVZuyRxDpTWUsLtMSjxhtZgwR9YeamHtXep3Q+o6jc5l wOCg19Dp94DATtapoerLYfT1EwqdoeGrwrS5vn75/vn6Cp2+XYrozHEzrarCZrL99olxFshaGzbb Gu9YCyl/e8l9mE/PtEsd7SoQFtqm0KpBUmlBdRlfsGXGxnSAT8YadPuDoG5nYc8NxnfONtA2qEzz taTpUxfw+GbvCKLGsBVIB8/Z0qvyKzl52tzxA2gZTS00dyQ5gbaddeYTE8pwXzK/rsyv04ERIGaB RH8Q5gpKh7ZKuDCBpgEhpU3B45+pMGd/hk/dcovWmS4yg+hTRPWBudSEhWYcHPp7FlNODibJbZjo UuR4vd1Y5ohepBE1eV3dsdsudOlQ4MOGt1o/zZurjJy775wUsv7otAXdiG7ssAi0yUj2/fWKKYZe flw/YuC5v758+vX6ZOXbxuLQK8R1N9flOqcBgOJUBFucntlLZFz89uikfSUzc6fuGc0IJtbQ9MoA Qaauf6PI3OlFkuF9dmN/gdCxKtfxZqKhLU3ZcGKHOHItAPQWWjZYTdK9PatzOd2lYZpZTgKGOIbu NvThbaTo4oZq14jsYz2WBP7GMu+UlyehEP9P2bN1OYrj/Ffq7NPMw+xwCQl5dIAkTGGgMEml+iWn tjrTnTN16VOVPt/09+vXsg1YRqRn3xJJGPkmS0KWoDzbZKNtLeTZg6sAaoyAbwr+nEyjqinU1Zaa D+HkMErtj2+n3xKdMv3b8+nv0/vv6cn6dyP+73x5+jqO1tFtQo34Og/hNPaiMHDn4H9t3WWLPV9O 76+Pl9MNB9c2USheswFJC4uWOzGAFCsTLaIlBXcixH3e4kBXzunrozzjQlrI1OKG4ByISxl2mIpS UTedKNhxFIxq4VQcaVIVEwaRolw1YLSUYDBu70H/LzfZ+DaDJKWGUrXQXUuiInEBz1jroyonGlqG XhAt2Yh11uQZJYA0UoTzWUQ8dB94PqXd6T4mfB7aBT8GaORCofJM6DKrgMEYOMeVGnrwkixc1aM9 +3a4gvJWMhg6QBWLgKMN9ORWK7l0j3e7icLrNlFDum8VRZ2wZRSOO2DgU7euFI2JUXN6XofLGZ34 pMdH1JVDg428gzsuEhgdDkOInYsLfIILCZ5cCoCdj2ayjiPb/uuAzoW2Djx1m28YvYh2T/cE8wn/ tSK453EYXXmDvqR45QX31AmjUE22gYSpVeNuhTSIvdGotGG0dNckT/xwEbvQUrgPS1XvsLJj0832 zRP32TZh88hbjAa6LZJo6U9U89C8sMNiQdep6/Dxcrkg9nL0twOsWpQ2TT+elevAX+Hs9woD90rl Hp96by5Cf12E/tJdzQahzVxHrqpoj/88n1//+sX/VR0/kPyy0LL4+yukPyXiem9+GWKqf7Vu16pJ BacPd2XKg0hGO0nKb28kCHlxaJQ3EvcdUqROT0mby/Hdmf06NT6gkfheNBqdGuel0/xueOjj7FD9 wLXv5y9fkJfJjuh0j8su0LPNeeau/w4nLRSxrdrxWjR43tJWBSLaZqxpVxmjbR1Eei0tBSJM7Dyh CMOkTr/P24cJNCmoO2QXxksEsZ6/XeCL/8fNRQ/ysArL0+XPM6hERje++QXm4vL4LlVndwn2Y96w UuSZfb0Ed4/JORmf6h26ZvRVKUQkJY4OSadbgFuW5eQbVFV24g3w1VaIfAWJQK0hZr7/IDUnlhfq rizyd8ld+vjX928wOuqm68e30+npq1Vjts7Y7c6K4TUAY8zYsd895qGUth9LylagQRrja1rhdAjr qiAv7jlku7RumyluVqWYQqVZ0ha3V7DZoZ3uRiqf/Slvt9lDnUy9odBvn2gfLmH9g0ES9W21o/Yl JmsPdXOtM+BUIw2MiWXSvaVpE3CrDV0EgDx8Z/PYj8eYzj7o2QDgNmkrKe+JPgBWgPd9m+B2DLDL qfCv98uT9y+boHM/oxeVeyd/utoIEnNz7hKcIbMBnpHG/RpeR3qkewK0o23ocZdnKv27y0va7Eef OPq7KMASYcZ0z1GWDE30Exq2WkWfMjI/zkCSVZ+WuHMafohxiocOMx0531GkArKBUM9qzDGRInjX UF9abMLFbKqJxex4n1KbwiKa217qDr594HE0D8eIsZbdYaT2Nl9OJNS1aOIlmdoBUdh5OxBiGU8h yFHUCieZL7EjaW5jj2i0EVESLgKq0VwUfuDRxVcxTUDHgDhE9MfnjuggSagAiA5fJ+s4CoiJUgiP mkKFCfGXZoQjy30iiphols/81q6EjeGwDslNki68iMyG1VPchcEtKTXui5lH1h7ueWUFZyMxq55V TjYy57VFEnserlzaL48kaudkXfGOQoRRuPQY9fBaashX2W6kRPGJkZTwKKb5kU8EdF6tjiTjoRfQ mYf6VvaS5NpUAEFIbopmH8fetWUjIj7ukEilkIt7RazOHYFvnyOQErSEWyK5Tf8oD+fxQTEScmEQ EkJOw4/be+c6oLXUA/+fjNkyCUbHV/958CprrKi3jOLMD+I5CXfSpdoYsj6zLenj6LhmPC8eJlqQ BFc7q0iurXpJsAjiaKL5xezn7cvD5Zq4U62QUxnM7LT5PZwtvYjmR2KuCjrR3vqLllEnzixucVVJ GxNe4x8IIkKL4ILPA6pjq7sZ8vT0666OEtsF1sFhORKiQ/uoiB2YBAvbidfDzWUsak9MZ63qiD49 lHe8Hm2Jt9ffpF38M6WOCb4MJjx2w+Spe1fXFkq+0Z70cd/WAkJtudx7rCGEEs+E7XBB4ONe/h3j 4GYBMYZhQo1gVi9DMq1yP4XNzKnK2Q9Nu/QbOTpkyjybSDBOLLJRlHb/xjaO8BWkvg+78nBtmNvD bBkuya1AFZbqeWw4S1kYk72ErCllQgVt9TPYyl/kEZlUWyg/GRI7Q7ScmCTwjx6oHQDxQDPiDUXd OfnHCBwQ028ZHpNvUBFLBJ/lXhB8Vgdmhyv18DZY+IR8gA8Utit1gC+czO69prnJyDDOXuIsQkrg yGGlztamTX3tUCU2OES0jKQDeEnFSRrX7z+TEF1mSILZVK4rfVV+YGmAucFYFmaPAkrhJtUoOzUT D2UiV/wxK9WNdfj2pootdN8Rh1YlyQZl9ASYyVzZPYc5PFZW9glWtFkDV1c2KFKIHXIgRVLFLHif tkegYVjIZAl2QArm+wecax6gu3JO7fr03ubBALU8wzFNIGIzDekb3uZCPUoymnNIc5e4+A6r00ZI 5ByZugZe1UdGP3gbYr54sh7xJfWhVcZ2LaTuY5TXsic4uIMPiTbrqS4Bsp1Eyv028ZWXH8TEMJSr em3G3+aiTraT41oXh4nG1L51m+qBfEc7TDQBn3qdqJt0khfzefQ4McxKHAbekdUrly2N8r2paW5z vnKC6sq83ubwBQAv1h5+wHAl/NzX6nA8o80c08mZ/jQ1xry9PW6Fu94kMLmjH1DxG1tY6Ee+wTH3 A4remNAfdWfYEiv3zlbtyGr7yroEZmjsDACoUHSQWI8WeyeYTcSmu5rUusyOKzYRn66LttHLwYoC HQm9NlccTsg0rI21ar8cIZuXWLHGlvDJ8/n0eqEkvNMR+dd1UY5k/bFheWq1vtqtx7lYVPvrHF/r E/cKTkU/6XYcViREqgP7zNRFoLkCovFpB9CupKcYYbYZqyegytGc6fDFriYG7uPAItsdzH0CWiRB 6QiCabhigLKU7VBanbw6JvkaA2qj1ebNHUakUDuTQjAcBQYgkTVJRbp+1SsgP3SvN6MH4ZP51FPN Dl0jkiC+ntuJTPdrCG2X/K1TDLTfoojKKq84Wf5DodFe7iDy8LH3QA+WB+bBAXPksu9BoyzNktXj 6qFWYUqsZBv7myxoNlIzy/foK64umej+h8/0uxEQ96KHmSIkI9Q+rdkIuILisdiTYzB5WZOfhjqO uDPsA7irR0IlYMLUSm+SSzhLTai9xR/mVv6DS7HW0K6TvbWy9+qacF61xcoFNrmdvG6Prz1rEmd4 FazEIcMauBcVGdFmsJpn5xklRU2mLaJAjElJ9fT+9vH25+Vm++Pb6f23/c2X76ePC0p73NVT/glp x9KmyR7QLRADOGYCmTKiZVIU0+GXlNEwaNHbpuJZn1KFDrjlWVEwqHRG5TrvqSppB0rdzl/Qri4d aXFMyG+m23tR52Uh52Xo6gBzDjYLgVMLWAiRN2saIRU1GoHNua2QgnRnvAPaFnt+e/rrRrx9f38i qq+oYA1ky2hI3VR2TRLZfdEk3cYzwFXCgziM+oCPfswk4nhblUxjaENHO4SuUXQOoTGNZd3Uq/Hr 123LG09qn9ON54caNNuplpXvaD5uubovrjTapNd6LG202bX+6vtQ03jt87lCYHJqTXbK+Onc+Bwz telKJRWpm4SjpGNdtZ3pZtuCicV4rMAsmmZWJQ0NJhst5fpuMpdVMB836v6hnPiJftS5FCrJ1l6n BqNNIZzDnjV8v+BKWaLDhVnLoRSpXdlJg/A1xu4VpqolHSHY+TEdxqtDKdXmphbEGErT48qKAuNt Gm14+gNsDOgBZVNuzXZPuNXBHsrbne0pMgq+PFfQtZievOV05e7MdBmyglF6pJm4A/Y+xCGsdt7Q jpIeTWakN9garWTNQ84PupZXS627fqmAd9Ce8kQOoO+NNo/KOqxKZUv8fIZqeJCCt3+Q5cWqQu42 4IyvKkpF7Q6wI9/unOXLpNAJYds393JpTTzfF/Tm+p3d48ZthYDbPJxLKeEC50HgAk0fuju9Bqrs XlYnEG+YuKdCnSZTPCozm6d3zkuUaws8a85oqcU/0ZRiQb7dmkGlkku2chc0ZBzV+XtOr6f389ON VuHrxy8nFaY3vjOonwatd9PilCguRi4lhuxHkqA38yh3mvuAElviapuahGx1KMDwk866zSv7lIwn 6vAma6k0Olqpoe02lpe1WmsqCyLVo2mYaw0PNe/xE3KBRF7uQnVmqB46yCILPpkJKa8Bu+d2lTYo BC+cxjqY0ayPaXtc5VLXLjfUGPXUXQZVY52tHrqBszoVLr1jktyPOgvw8ajB3nFAeg8YmA4XO728 XU7f3t+eSF99BpmZpdqXkEuFeFg3+u3l4wvxubyWO9YeKgVQLgNKPCmk4ngDMdXWpDsYAFzBCp7R aMFTF95bu0MfUV8sUQPlSCDXyMh0khbZzS/ix8fl9HJTvd4kX8/ffoVAw6fzn3JbDTlpFTF7eX77 IsHijfxYor9XJqzcM2r1GHRxK38xsbPdhhq1kedaleTlGpnGGsd7HDm5FGeaZQia/Oxw3I9KYr4M oS2hbz+DTSVPWMptZFGIsqpq4uk6YKOnB2bHPA3H9NJXfOFM2z1YrJvRFK7e3x4/P729TE1LZ+So Ug2UCiXbVRed7C+GCqijCZ0TEOjGbQ0VjihudDLMQ/37+v10+nh6lBL67u09v5ti+W6XJ4nxclJm U82k5p30QdX9y3/2Ch23/m9+mF4QUoeJkdNxRK5DRaX59fffU/wb4+yOb6gBN9iyRrwTLWrnxunz +bE9/UWz3OkcjiQt1w1L1hsMhVuax/vGtugBLJJaqpMYxrkGDX4TigvF3933x2c53+7ys4U4eCAg kipdOdId/KVHu6aGhopV7oCKwlaF9J3TtBnXwlKYO55PYKTc3BKgOh0DRzAsmTuZjMV5T3h0yncZ RB3UI5gYPT+Wgbp+XFIKMSWTjM7a2HNGzox9KCSdRXRN4d7Y/hxLhUmlooNLKikBpe1H2tqT+O6T 274qWsgTklS7upgUS4o6HFFjMdXiC9HKCaBF6EhUHs7P51d315oHzae3fbKzx5B4wn73pxbt4X92 mvY2EQcf77rJ7joFx/y92bxJwtc3mz2DOm6qfVeuvirTDPbVMBw2kVz+YHBBzqMJApDhgu1xOSiL AO5xiZqRcTGoIakD5vvM7cQooT2oj0Z7VTlk+r4jdRSMSAtN2ZL9uB2zPboxhMDdu8oqqX9CUte2 4olJ+iWfri2plB3aRDn+VZezvy9Pb69dSulRxzXxkUnTEfKxYW1eodaCLWdkyIQhcC9pGTBnB38W Lajw9oEiDHE84oBZLOIZ9RlqoMC3Iw28D3J2wG0Z+XbIn4FrqSZPH8jImozQTRsvFyEjOBQ8ijzq DqXBdwmbbEWSV3ZttjRF3ijj+IIitvQtKE2QrSgvj1GHpPaxtkuJtv6xkMpIa2WrafMjy3iOXNJH Axg8sWAnbuqp+/9QOgFW4oqscweOOPCKlVl7TKz3ADxfI6eFDsY5lhknI01AAcB1gFIWQ8hE2sg+ XflK3tTo46j2Ta55EsDwWXDjUORo4mHXRbMAAj9G8KNo7G8LuT2/OXx0c751DbBjsiLBKNYAw/uo qUF3G/CQ7UAqmTvawwuEt+t8rchx++bOIPFhDrD6p51TyHpmRKpeL0Cc9yQB5lZ0xVommJR4svGB y06MapPp6en0fHp/ezldsPhOD0Vo39wxAFzNesWZb9/JkP9n3ui/eWawK3giJYfOgDvxtSWI6QDd lIU+VVFBTm6TelZEuwYsHYAd0nl7EOnS+etyentI/rj1nUwSw7ZNwoC8aCEV4MUssi4ZGYDbPIDn 84kW4lkUoBaWUeR3ETh2EwCnm5AY6yINPyRyMiIEmAc2m6K9jUM72hMAKxZ5ttrjrBi9il4fpUkO ucE/n7+cL4/PcI1RHosXx1Ri6cJb+g396VIig6U/hZp7cynspH4iD6SGFQUZ4yHpljgolKW5iilk ZJJvZWoznFBbm9+MsygN3McGokMdeIepViUyjk273ZpPwMXbgBPCBqdFGbgMZOU+K6oaYgLaLGnJ 3JRGeDpPwoHAD0E0yfb2sCC3T14yKEfuNJeXYLIlE72Uqtsixb3Rl/fcZoo68ePD1GCZsObRQ20S zBYUrwoTW6tWAWzFBfQk5/6ZBC3nPr24eFKHs4DSPLoqCBDtLPUuiDxy2JRG3jxYTnStZLuFvlyB PnpOzo7WtKSaQDenNKs908m1nCtFJjETBIIfD9WV55VmlqNZG+B7p3cDRiLIaycQYLd5aCq8DpoS rq85O6BXrYXcvzZC3xHBxOp+iANSiw3qv7gpS7Q2ogfGdjT2cBeUrkXKR6LUxtEjCCH+mbtS9Yfy 0aTZwYQS5cU+GZQKSCFPGGs9m3uHcs3iF0n4HODTr9qv5yqIlXrTPq8hH6g8BPGIGEu4X9idlL8m 0W2Zv35/e73cZK+fLeUB9I0mEwnDDrvxE8bR/O1Zmsy4EjVPZkGEHh6o9Iny9fSisqbqmH58zMA3 /mO9NaUUp6IAjtmnypDYKks2xyoN/MdqT5KIGF+Ty9ndRD2dmouF5yFhJJJUTuMEPfCTQzmxo9g4 CVBELUh1Y/8pNode9ynXHRt9AeL8ubsAISfoJnl7eXl7tcOlaAJ7Urkw4yXMgOjPCqLunhs3OkYi bbV1GqRxZqtqj4NZj3JpPuoFhXSN/tyPvLkVDyn/hzEaTQmZzaiv8RIRLYNGhRWjBqKlXRRaAub2 HUr4v5zjbqR11Uqd1YaI2QwVnDeHIyLi8yDE92Dl+RX5lOEPiDiw7s3I02y2CKKRyGNjKTgK6IZY ZpZE0cJqT8uUlCHpcHUOtMtcLqDP319efhhPmr0kRjiFXEPVmdPr048b8eP18vX0cf5/SGiUpuL3 uii6r1I6SkF9CX68vL3/np4/Lu/n/3yHIGH7HVfp9AXar48fp98KSXb6fFO8vX27+UW+59ebP3s+ Piw+7Lb/1ye7537SQ7S6v/x4f/t4evt2kpM9km8rvvEnbjCuD0wEvucFE56Gehd6kRJnU/Zjqw/0 UGrNYrQhFQruSrvodhMGnketkXFPtDQ6PT5fvlrSu4O+X24anVzx9XxBXlG2zmYznMscHF6eT95X NCiUUJJs3kLaHGl+vr+cP58vP6xZ6JjhQegjT1u6bUnlepsmkkNccTpNgqnaXdtWOIV8e8TO3ugi XyBrDv4HaAZGzOudKbfEBdKGvZweP76/n15O8jT+LgfD6tyK5/4cHYLwH8u29aES8cK29jsIprvl hzk+K8v9MU/4LJh7kwtRksilOldLFbmEbARxYBSCz1NxmIJfe+aYh0jGXRknnXHs/OXrhdqdLP0D 6kZOWBss3R3kqqTnnhWhRyaNkAi5v+z4jjoVy9AefQVZzvEZJxZhQC7K1dZf2N5b+G+rPYk8IfzY xwA7clf+1xkqhwA+yGRJWQmAmEdWW5s6YLWHLSMNk330PKqwd34n5oG01e1rjb3mIIpg6fnxFCZA +WQUzA8oRv8QzA/Qbde68SJ70xVtgzND7uV8zewS81LsSCFlT4yBWL6msmJ+aO/dqm7lXFrt1pKR wMMwkft+iBVJCZlRHRHtbRjazi65zHf7XGC9wIDwpmgTEc78mQPAqWq64W3lUNLZXBQmRswCaLGg zGyJmUUhqrcQ+XFgX1xJysIM6mDsKBiZDWGfcWUqWQ0oyAI3UEgbldpsn+R0yNH3bWmAd7v+Vv/4 5fV00X4w4ny4jZcLWwGF/+i8YLfecklvTu0g5WxjJQqwgCM/IttIcUOLFM6TMApmNNJIQNWmOtEn DBKYbGmSRfEsHG8yg8DLqEM2PESVeTC870gXeEANqR7sIeOzY2jyHbJ9EKE58J6ez6+jebIEPYFX BF1CyZvfbj4uj6+fpab7esJv3zYmmJjyuavc6M2ubi20M/Y6xhu1MamYAe2Vt7WQOLKoqnrybZBd jXpLPxR0h81x9yqVJ5UQ5/H1y/fn/1b2LM2N4zze91ek+rRb1TNf7DivQx9oibY01it62E4uKnfi 6bimE6fipL7p/fULkJJMkKDn20unDUB8EwRIPOD/b/vDDuVpd/Erbj1pi7yie+ifiyBC8Nv+Aw7d 3fFxwlTexiwvCSvY0/bV3+XEky4NlaVzj2874oArcfyqSGzB0tNitjcwsh80anZa3MJmOGenhP9a azDv2wNKJgzzmRbnV+fp3OQexZhea+Bvm5GESQRsko9pGhYg03DsMirMzENxUIzOyZZPi2Rk3m/p 35RdAOyCElWXV/SKRUM8AiMiL67pfgDGphJf8VDr1Luc0FUTFePzK66mh0KAHGTo/R3AZmXO5ByF xlfM1cwwIhfZTfP+790LyvG4c552uDMfmUlXgs3lOY2AHYeihH9r2S7ZG+7piEh1BXEALGfh9fXE DA9UlTMzDFK1vqVixvqW5BNGciJ84aF9cc5mJ1gmlxfJ+dodx5O970yFD/ufGDPZ/wA12AWfpNRc f/vyhrcG7M5SnO1cYP6vlNiCpsn69vxqxIc718gLVvhJQRImwZ4UhI8KVgMLP2dZEiLGJFUP141B AKWGnvATdhCfpgJxMRvjETE6NklNvZ4RgQupyDPOXB3RdU5zHapPZDnzNkFFDPbkmVymstXum2r+ 4OfZ9H339MM0zjmuQCAOxO0oWE/4MwEJapCsJ1ykOkTOxEKSuvab9yfXDmiZxkgNWtWlSe0zGypW hhkE/NCnNQVZLgYIUjYsFNSZAFtAWSZxZsEGk18D2DvQWTWvAgrQUVnMKURo5zLGXYOvMLrEdFnT YuJ0PXIg42sLpPecXZlKL8ApHxqp71V1HlWKoGGUEIiGMRhTwK6ifwDkn+uQYM2JzIhRFj9h6vjI IU6F/Gfj0CnsWtDW4SubBenMcmozDLhCdI9s1lLSZjl2M+C8uAmKhD/uFQG+wnla2Xn4UnrWYU5j UnqhPQBhQvzfFJJ2xApppUCxDIQzcQCNSt6tUaFXifPFKmkTNo8rYocIZgbsYYjaH5d3Z4/Puzc3 xQ1g6HRgvmIzRNofyt1RkKhp3eSC9hBgAYW5bwckFGx2YTDUehAjheSNcrsZV2Wzx8jkBrUyM6xF bwVQBw1F9FVGN7qtRN0o746xcEQcehJ9ofknkFa19Dk+I0FWp2yO1N45CuoK8nQaZySOfw6nDzqT YPiiwhxfgklphqUUIyOUd7QtvZ5oz/IwQgUmoNcn0PGOXj211kUQ8+H0hpTTeVCbye9ANkUzv1yl skwo79A4UUfXt+xodfh1NWKz72i0fRJ0UPssIODuNdfGRlW4sGFoFuLAVByt+cqGJyKr4zu3hx3z PtFH5Sf0T3gdxb8V5fQEJVpknEAP/tne8dTG+LkVbv2IKjyP9ZqkClI2/qFGWqntOyiyzbQYXTrj XOXBrJgLtyFOmEULX8ddIhBvU/rN7JY9bPN50rDx/RQVBrkyv+3iVHTrSPnwsu2z6K6szGZaQYru z6rP7wdlin/kvV1YHZqz1QC2aVzEoNbSLLSI6IUHNDnOa96/AemckIYDVmXBnKeeNLb4rTYbISlp O/AtD0avUUySRhFqod/oLMEMpp2vEz9uNBb/iLxw4nQdacR6rrCeLh6J1EgjZSsykeRzu7je0wzq 46IuIklwP8+aqm8M/Rb0TDpkQ0QP7J2dZ7j/KFPBvzidjFJYI55VY6YVCFWhxCypCEsqsYWi5uKJ DXhnxrtuuTV14UtBhSpL4g9hIrlV3eN0MnrfMPdEIlnmtGxlbo4Oc3dda+mKiNfA44ct5Sm+c8x3 ett58TNwPH3wdGc6pCI+xlmWO/NId7M6ZdpluR5jxBD/eu0ISxB06K7owsleXyI8SBqQV0rKVtSM qYNVzTSL4AZNGf5DydCwpmZPApPsRmU+Y0YCVIZ2fJOlKue3p5CBxt3xiHKGPk2LCwaKIT6YFiC8 8WQS7fHryr8wAtCJCnaIRKEyxWKkRVginCiFZHkgkxwNhspQVnYZSmLCwr3N60Iw3E3ORw6hTXbn DqCC65zrHkSVFVU7k2mdt8ux3T7j89hjGkqp1ESeaqOqkmsL9PHm/GrtTmwplEu6C1cmnjK76Fkh adPRX0r9Wvum5+hKiNs1rGKOQQ1EJ/boQONkXEVspxGERbsEnYOT2QwqxasUnaeYE83oHV2amTXI A8JZI9VlsVS5yx3MIEF1KNIWE8m7IRCqE20+6mORGQ1Pta3Wuv7oAhoI4+LOzZFi0lH4RqaOo8n5 NSPCKG0fwPAjoCil1o9uJ20xbihGuyc5ZYXpzchexOrCpdObKHMG6baIC+ksXpXudsy+aSBaay0L KdOpgDWRplarNR6lPDyfch+y+5AKjmbkV1bZpDKt8TX6cQKr9DxZsdmAaIoS6PTEEaHF69P7fvdk vCBlYZlbcQk0SMUMwchEdm6xwcpXF9WXFArjsk1lhrJ+2jedGqg0/9ihRXAe5LVxpdL5vMlZUxE5 VX/Qy/ISg4Xwmh4lhLK5S2tFg0HCrNrxYOur7kD6lJgV2rPNqkaZ01chm416YG5WgQNc12yViJKi atSJzunNh0EI2SzYPWew6tXfagtQu9t9oA7PsGOUeRjSeeGJPSeWIGMWzKx0BJ1TgNUgFUWph2kD vdXZx/vmUT2aGQEge3r2LlrvTTPLeg/p4oQapmodfF7zgR0HAuD6J2pqizpmajsmT+st9tze9B91 ir3xq03nJafy27hWeExDunhaBe5lxxzdLa4jD5bc/hiokKdxjZ2WcTg37al1abNSygfpYDsGWWBO SicOgCqvlPPYzKORz3i4AoazxIW0YtYwUGsJkI6lhfrN9b8yJhh+qMTdGOc2y0OyPRCXCqVB2AmV OZqo4YVWg8TNd2DQVAFlQgo2lejJyr8wSk58UInDYRLWcghwbaZgdwOVNOjPM7++HZvB8QFoe7Yj DKN0sicJV8VwxgLPK8ykmTGJwga/VFwB6jBeJXFK4rwioItaUpfkSeCIyeYhE93H2Mol/D+TAfcy CUsXCUjBhhlPkLFRDolRUGCq+OhZfieNbmN8xrtGhCGVhY9x/uoA1GdR1I1nd2teBGXyAkXuCcVm vWJqA/4dpq1UAov5DCrQBqGWsPLQc7MiG7lCE6EY1kpg7E+5xndeUyLoIe1Ux6k1o4hjtPMWwcRy ASNloJPYvQc/wyjDQXkPg0wd6QCxlGVcc+LtrNIR0Y/FhDYg1gAVTYMUK9xg6gPyrslrPvK/aOp8 Vk1aNoidRrbmQOHJSAABOT67UNIzIg/m0N9E3Ft16FN08/hsZiiZVYEIImkOowK4B1n3pb6ePWw/ n/Znf8LyOK6Oo0CLPrG+iwPEwTJOwlJyV9MLWWZmby1Bsk4L5ye34DRiLWozuy0IMTPY+KUkoX30 n37Uj9K620VzM1Y6KL+Occ93NZP1Ki8XPrqeyjR/hh9DJL4vu8P+5uby9rfRF6PMBD2nQllgNJ3J Bec+REiuTQsqiqGWqwR3wyZct0jGJz7n3sEtEl+7bkwnBQsz8mLGXsyFFzPxYi69mCsv5tY7HLcX nEsaJbn0dfr2wte124m/ypvriafKuMpxUbU33m9H43+efaAZ2QWIKoi5206zVuejHsFd2Zt4axZ7 8MRXnm8B9vgrvrxrHnzLg0eeVo0mHriz4xZ5fNOy0ad7ZEOLwlQsoF2JzC5JpXKRINLxl41HEhAO mpIXFAeiMhd1LDj2PJDcl3GSmE/wPWYuJA8HrWDhgmNotA6B5TQjzho2ZDQZh5gfChCOFr7I/UjT 1DPeRBj0ZlzlnOKXt6s784QgwpH2mt0+fr6jXaOTxWUhzQh9+Au0mrtGYoIEev5i1LsYDousRjLM 3mB8OHWKqkt8ugh76NCPThTqMOxBe9+GEQheoLKhxES+rmTQoMSEWVEq9d5blzErDveUxondQcgp 3pfXnYkMphCm9h7hZUIkylBm0IVGJVwp7ltM1xF0kQKGxjpkrAAOnQwURQrTq6MLGq3g0LpJX/51 +L57/dfnYfv+sn/a/va8/fm2ff/itL/O0/w+ZzqmEWizrsLjFDXMTV3efxufT25OEjdhXLf4sjo6 H098lHkKREOgNyAXIemYRR5nCoLGlTEwiwwI6jqmdmTDN6IA6T5lne0HmnthxmYawJWY4fM+vW0c sCi7h/kqQz89rwoz94jsfYhnd+SHzx2SkM0XBbV/+4JOxU/7f79+/bV52Xz9ud88ve1evx42f26B cvf0FdPb/8BN/fVj/7L/tf/6/e3PL3q7L7bvr9ufZ8+b96etsvE+bvsu8ufL/v3X2e51h06Hu//d dB7NQydjtPxAQ6Mst2JYIQof2nG9D91hbTl6Urx1MShNRuVpR4/2d2Nw+Lf52iA7I4/J+/uD4P3X 28f+7HH/vj3bv5/pnXLsryaGPs1JEHQCHrtwKUIW6JJWiyAuIpKRgSLcTyJRRSzQJS1NZfMIYwnd cNp9w70tEb7GL4rCpV6YFyV9CfiQ7JI6qZco3P2gqfzUQ+RwKx1YRzWfjcY3aZM4iKxJeKBbvfrD THlTR3Co9Wut+Pz+c/f421/bX2ePatn9eN+8Pf9yVltpRlDvYKE75dIMTzvAWMIyZIqsUqYjTbmU 48vL0W3faPH58YweP4+bj+3TmXxVLUdXqX/vPp7PxOGwf9wpVLj52DhdCYLUHfCAXAX2lBHIFGJ8 XuTJPXqlctdY/Uaax5g43O2QvIuXTNESCgaWs3QuFqYqOgMekQe35VN3dIPZ1IXV7sILmGUmA/fb pFw5sJypo+Aas2YqAQGJxlruV23UD6u7RjHJVd240yQxwGq/CqLN4dk3UCT3Ys+OOOCa68ZSU/Yu atvDh1tDGVyMmdlAMDPd6zUyQ96MT1NME7GQY+6RkhC44wtV1qPz0IxB2S9qlisbo263IQ05dXdA sp/EsJCVdROvMPXsIw1hd/gLR7x5YXEEjy+vmGoBccG6SvXbLhIjdy/CXr684sCXI+YUjMSFC0wZ WA0iw5Ra7nWoel6Obnnzq45iVUDd7u3i7u2ZvBoMbMadf4BZoZ+HBZOv/GnXusUjMLVazD3bDBSo W/VR1VwctygQzt3V9OcG04uZ+uuOrUgqMXYXRs+Zmcrh1C1kxhvVD7N4Yp2DYoWj5lTZwY9joWdq //KG7ox9jB27p7NE1PzzQs9vH/hLhA5943HFGr4+0RNARi6LeqjqIVlquXl92r+cZZ8v37fvfUgg Ilz3iyyr4jYoONktLKdzK/WhiYnsrNkmTrCZxE0S7ihDhAP8I65riVafJWiurCzWcuJyj+glWLud A76Xff3tHUi5UTKRsD+W7nk4UHSSurclXQ70fIpZH04vLtTHuUsLQ0Bvuxj7pubxc/f9fQOazvv+ 82P3ypyvSTxleRHCu3PKSN3qpWFxemuf/FyT8KhBWDxdgilTumiOQyG8PztBHI4f5LfRKZJT1Xsl n2PvjlInSzScZfaURyv+uay6T1OJt0/qxgpNBN1TB6P6/Kmk6sPZn6B5HnY/XrWX7OPz9vEv0GmJ BYl6i8G5DBZJXA33bOyr6H9SducG7lt7mAxWlG0psrllxyrUEyazzqcxnM2YGte4GOzdHODYzoLi HhR+ZRRq6momSSIzDxZjjjd1bL47BXkZmlOOuREl6GfplOTg0DeFptPQ4HsRqPxXpriMvn5OSmBR BhE2CyTdYh1Ec3UVVEoiAwag6QBTJKCRtWSCVsuOLI8I2rhuWloAiXOEP4e8ZFbBiEmgzdN7Xuwz CCbMp6Jc+Q9OpJiyd9qAM9+j4Cf9ZTxMwC5yhfjA0OC0zG7OWhbmKe1xh3rALQmMNCEvonC0Kxud 1Iq1oM7lloWz9HhiM+QKzNGvH1pt9EB+t+sbMvkdVFlN2vaKlCQWV7zvfocXJWdKdkTWEWwApzlV AYvYgU6DP5hG+lLAD51v5w+mK6mBSB7Mi1UDsX7w0Oce+MTdruY9er9KMO0VnMw5EZhNKJY6MtSQ aWCZ25VLkbSoVBj7vcJsOMA2lpgPsBSGhBMJlQTPtB3VIDQMaWneYoCTHACYOZuYjGSqnRoBnG9u viUoHCLQmtjK66P4EeJEGJZt3V5NpmaiVcRArxNRYu6aSFLvHPUdOscMphIcAprFXaDPEz0LRnF3 JmNN8in9xWzfLKEGDkHy0NbCzKFQ3uGZbZSbFjHsecJNZqFRJFoDo71dVZtpOGZ5Vht5Kk3ozd/m mlAgtGKBxkrTT79CS8+EJLHFoc/yViflo5mI8N2BfX/Mp3+IOX2tqPHsPp1l0jmb6fV9LyEo6Nv7 7vXjLx2Z5GV7+OG+5QU6bxk+zSRwSCfDZe+1l+KuiWX9bXjESWFj4jO6U8Lxmec+neZwyrSyLDPQ db8Z1/neFg6K3e7n9reP3UsnohwU6aOGvxv9MR4LlWSeNqgyR5JNQzwroRntSpQZfbmC4S8wsTM2 2fKXFaHOA+p55IkkvlWhozlsyoSL/d/tH1hIGDw5jatU1CbTsTGqeW2eJaY9lypjlpeBbGdNpj8Q SYzh0cZTnm4lxUIl7AgKkkzqPx7b/zITuXbrLNx+//zxA99X4tfDx/snBp+k6RfFHGW3+6rkkiZ1 7aucFleKj6zwX8KDeize2CuCFC0X2ZmwSsLXKM6kfFrRx3YFwDAunPWwRk4xcWXlfoQGVN6P1Oyk mtU6mWJPjiYdGrQlk8yg2JWbj3VDuUYYF9yqcl1jFG/zbNSFIbZn5FY9A6rfYN0255xTsI4ij6s8 I0aNFK7YpcjIc7tF8SDL3G4iME1JrtEJmDlXKH5GTnSKUwatldv1Ho+P/d7F3BOhd2ZkXR5QCtiL sBV729t/LJAO91HdrZJmqu8W3Kr0Q2yDfJndIxUwxrCjklno8kmrvCUnW3brTyW5Ui+3xtkdKDEH B0zPtJpo0NaVaCIrK5ujtVgtjhnpqB76IQCJzvL92+HrGQa4/nzTTCvavP6gZpsCY4IAd8xBtGLX qIFHI+BGfjunSFwOeVMD+Dhu+axGJa8p2OQnxqghso3Q064WFT+0qztg8cDow5zX1k/3VdvoAN9+ +kRmbW7141M3g7anFnu5kLKwdHd9DYCvYEfm9N+Ht90rvoxBg14+P7Z/b+E/24/H33///X+OHEYX i1JvU8u1dHZqBVXhGDKsTH9wYh2Wq4o3PNXozoxaXxV2jMBU7dA4G6YMjc2tLOurla6dVaSrYEY+ 4xXiKtQVrERcu6mwj+Lb/2NMjbWCsgCw37bJKtAAYPNqRdg7FAvNPuzB78AgzyRSHL2U9FL7S59G T5uPzRkeQ494M3SwZxZvmZjjAcF+qWduN0SZm8fkQkYxPVDMRC3wDgfjksbU9uNkM2n5QQmjlNWx Dsis79mDhjsR+QWBbFwlCGHg/i9KOaNfHQVI/K600lcSrLyrTiwb2nh79IGVaGGvVGIeMw+qbtCp 9Mbrq8XNYieFM4CdCFWtaACrSmDYF9ccf/Pz7XnDDbFIikj0Wd3h1AHmYJ4Dg8hYRzJt2O7bRZs6 T709fOBWQt4YYK7SzQ8jCO6i0SfTUI0C6HFj3RY0ns6thsm16rgztxqLu1MxHM7Ks1vtqAHlJRyW f2hh3ywln8HyOUXPlStr7cPFkBt6rDKjYiudiTipEuHx4QKkFsmU4MfpUbTkwWjRrBvKmCFrpdXS 73qZnbtM1KIECBBBvuyWcWFGIwMpCu93cehx5dJHsGQR1sadDBIpBgYnuan8K3gaZyi5kaWuEBUf 1nEK0pNuDx4a7o6f4u2R/8Agt1FeKnIV5buCE3WexsHVhJF+VQciuQ6btLCg3WWDk5y6R1aBOZEK ugBwbTqyKWgB5dQzCziNa3LtpYBNE4cWaN3fpNExR6+fGTAfjxMgUJR4MVyjbOyn8bxtKlwcmi6g cYaO4xh9LAuiVJQLp0WzuEzhGOZrg09hAyah5gXcFdl9FdQJZS7D1/rhZkBx1p3ms4vFnKDuyilS D3coE8GZner1LtNAwOxZE+LeSnULQj3wxPwy7Qu0CcgA4gpGdmJmI5Dp0HJqwclydUsgAt23wiUc 5kGDKjYvOmrZaRpr7lix54t1ffZ/lvmhLDY5AgA= --===============7672830163353404915==--