From mboxrd@z Thu Jan 1 00:00:00 1970 From: kbuild test robot Subject: Re: [PATCH 02/22] drm/atmel-hlcdc: Use simple encoder Date: Fri, 6 Mar 2020 08:32:54 +0800 Message-ID: <202003060857.sLuBNk9D%lkp@intel.com> References: <20200305155950.2705-3-tzimmermann@suse.de> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="tThc/1wpZn/ma/RB" Return-path: Content-Disposition: inline In-Reply-To: <20200305155950.2705-3-tzimmermann-l3A5Bk7waGM@public.gmane.org> Sender: linux-tegra-owner-u79uwXL29TY76Z2rM5mHXA@public.gmane.org To: Thomas Zimmermann Cc: kbuild-all-hn68Rpc1hR1g9hUCZPvPmw@public.gmane.org, airlied-cv59FeDIM0c@public.gmane.org, daniel-/w4YWyX8dFk@public.gmane.org, sam-uyr5N9Q2VtJg9hUCZPvPmw@public.gmane.org, abrodkin-HKixBCOQz3hWk0Htik3J/w@public.gmane.org, bbrezillon-DgEjT+Ai2ygdnm+yROfE0A@public.gmane.org, nicolas.ferre-UWL1GkI3JZL3oGB3hsPCZA@public.gmane.org, alexandre.belloni-LDxbnhwyfcJBDgjK7y7TUQ@public.gmane.org, ludovic.desroches-UWL1GkI3JZL3oGB3hsPCZA@public.gmane.org, maarten.lankhorst-VuQAYsv1563Yd54FQh9/CA@public.gmane.org, mripard-DgEjT+Ai2ygdnm+yROfE0A@public.gmane.org, jingoohan1-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org, inki.dae-Sze3O3UU22JBDgjK7y7TUQ@public.gmane.org, jy0922.shim-Sze3O3UU22JBDgjK7y7TUQ@public.gmane.org, sw0312.kim-Sze3O3UU22JBDgjK7y7TUQ@public.gmane.org, kyungmin.park-Sze3O3UU22JBDgjK7y7TUQ@public.gmane.org, kgene-DgEjT+Ai2ygdnm+yROfE0A@public.gmane.org, krzk-DgEjT+Ai2ygdnm+yROfE0A@public.gmane.org, stefan-XLVq0VzYD2Y@public.gmane.org, alison.wang-3arQi8VN3Tc@public.gmane.org, patrik.r.jakobsson-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org, xinliang.liu-QSEj5FYQhm4dnm+yROfE0A@public.gmane.org, zourongrong-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org, john.stultz-QSEj5FYQhm4dnm+yROfE0A@public.gmane.org, kong.kongxinwei-C8/M+/jPZTeaMJb+Lgu22Q@public.gmane.org, puck.chen-C8/M+/jPZTeaMJb+Lgu22Q@public.gmane.org, linux-I+IVW8TIWO2tmTQ+vhA3Yw@public.gmane.org, p.zabel-bIcnvbaLZ9MEGnE8C9+IrQ@public.gmane.org, shawnguo-DgEjT+Ai2ygdnm+yROfE0A@public.gmane.org, s.hauer-bIcnvbaLZ9MEGnE8C9+IrQ@public.gmane.org, kernel-bIcnvbaLZ9MEGnE8C9+IrQ@public.gmane.org, festevam-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org, linux-imx-3arQi8VN3Tc@public.gmane.org, paul@crapouillo List-Id: linux-tegra@vger.kernel.org --tThc/1wpZn/ma/RB Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Thomas, I love your patch! Yet something to improve: [auto build test ERROR on next-20200305] [also build test ERROR on v5.6-rc4] [cannot apply to rockchip/for-next shawnguo/for-next sunxi/sunxi/for-next tegra/for-next linus/master v5.6-rc4 v5.6-rc3 v5.6-rc2] [if your patch is applied to the wrong git tree, please drop us a note to help 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/37406982] url: https://github.com/0day-ci/linux/commits/Thomas-Zimmermann/drm-Convert-drivers-to-drm_simple_encoder_init/20200306-045931 base: 47466dcf84ee66a973ea7d2fca7e582fe9328932 config: arm-at91_dt_defconfig (attached as .config) compiler: arm-linux-gnueabi-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=7.5.0 make.cross ARCH=arm If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c: In function 'atmel_hlcdc_attach_endpoint': >> drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c:98:8: error: implicit declaration of function 'drm_simple_encoder_init'; did you mean 'drm_encoder_init'? [-Werror=implicit-function-declaration] ret = drm_simple_encoder_init(dev, &output->encoder, ^~~~~~~~~~~~~~~~~~~~~~~ drm_encoder_init cc1: some warnings being treated as errors vim +98 drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c 65 66 static int atmel_hlcdc_attach_endpoint(struct drm_device *dev, int endpoint) 67 { 68 struct atmel_hlcdc_rgb_output *output; 69 struct device_node *ep; 70 struct drm_panel *panel; 71 struct drm_bridge *bridge; 72 int ret; 73 74 ep = of_graph_get_endpoint_by_regs(dev->dev->of_node, 0, endpoint); 75 if (!ep) 76 return -ENODEV; 77 78 ret = drm_of_find_panel_or_bridge(dev->dev->of_node, 0, endpoint, 79 &panel, &bridge); 80 if (ret) { 81 of_node_put(ep); 82 return ret; 83 } 84 85 output = devm_kzalloc(dev->dev, sizeof(*output), GFP_KERNEL); 86 if (!output) { 87 of_node_put(ep); 88 return -ENOMEM; 89 } 90 91 output->bus_fmt = atmel_hlcdc_of_bus_fmt(ep); 92 of_node_put(ep); 93 if (output->bus_fmt < 0) { 94 dev_err(dev->dev, "endpoint %d: invalid bus width\n", endpoint); 95 return -EINVAL; 96 } 97 > 98 ret = drm_simple_encoder_init(dev, &output->encoder, 99 DRM_MODE_ENCODER_NONE); 100 if (ret) 101 return ret; 102 103 output->encoder.possible_crtcs = 0x1; 104 105 if (panel) { 106 bridge = drm_panel_bridge_add_typed(panel, 107 DRM_MODE_CONNECTOR_Unknown); 108 if (IS_ERR(bridge)) 109 return PTR_ERR(bridge); 110 } 111 112 if (bridge) { 113 ret = drm_bridge_attach(&output->encoder, bridge, NULL, 0); 114 if (!ret) 115 return 0; 116 117 if (panel) 118 drm_panel_bridge_remove(bridge); 119 } 120 121 drm_encoder_cleanup(&output->encoder); 122 123 return ret; 124 } 125 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all-hn68Rpc1hR1g9hUCZPvPmw@public.gmane.org --tThc/1wpZn/ma/RB Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICCGPYV4AAy5jb25maWcAlDzbkts2su/7FSrnZbd2Hc9oLrbPqXkASVBCRBIwAOoyLyx5 hnZUmZFmNZok/vvTDd4AElRyXEkl6m7cGo2+0z/946cJeTsdnren3cP26enH5Hu5L4/bU/k4 +bZ7Kv93EvFJxvWERkz/DMTJbv/254ft8Xly8/Ptzxfvjw/Xk0V53JdPk/Cw/7b7/gaDd4f9 P376B/zzEwCfX2Ce4/9MYMz7Jxz9/vv+rdx+3b3//vAw+ecsDP81+fjzzc8XQB/yLGazIgwL pgrA3P1oQPCjWFKpGM/uPl7cXFy0tAnJZi3qwppiTlRBVFrMuObdRBaCZQnL6AC1IjIrUrIJ aJFnLGOakYTd08ghjJgiQUL/BjGTX4oVl4sOEuQsiTRLaaHNHIpLDVjDr5lh/9PktTy9vXQc CSRf0KzgWaFSYc0NCxY0WxZEzoqEpUzfXU2R6/U+eSoYLKCp0pPd62R/OOHEzeiEhyRpOPfu XTfORhQk19wz2ByiUCTROLQGzsmSFgsqM5oUs3tm7dTGJPcp8WPW92Mj+BjiukO4C7ensVa1 z9HHr+/PYWEH59HXHh5FNCZ5oos5VzojKb1798/9YV/+y2K1WhHhGak2asmEJf81AP8b6sQ+ nuCKrYv0S05z6t3iiuhwXgzwjYxIrlSR0pTLTUG0JuHcnj1XNGGBd16Sg07wzGjuh0hY01Dg jkmSNAIOz2Hy+vb19cfrqXzuBHxGMypZaF6LkDywnqWNUnO+GscUCV3SxJYUGQFOAZcLSRXN Iv/YcG6LKkIinhKW2TNlETykCowULnnMZUijQs8lJRHLZta9CSIVrUe0rLMXj2iQz2Llsrjc P04O33rM8m09Bfli9fbk8HQhPOUFMCXTqrkAvXsuj6++O5jfFwJG8YiF9mYzjhgGC3jFwKC9 mDmbzZHvBeo66T/hYDfNZoSkNBUapjcquhP3Gr7kSZ5pIjfepWsqG1eZI5F/0NvX3yYnWHey hT28nran18n24eHwtj/t9t87dmgWLgoYUJAw5LBWda/tEksmdQ+NbPduB2/KKPyO1ksXqAil P6TwJIFUe4k0UQuliVb+kyvmZfTfOLnhkAzziRrKBmx5UwDO5gD8LOgaRManBVRFbA9Xzfh6 S+5SFrcW1f/4WbmYwxvriVNrt9AuxaALWKzvLq87WWKZXoCximmf5qr/YlQ4h5ds3k3zYtTD r+XjGzgxk2/l9vR2LF8NuD6FB2tZ4JnkufDfFFoEUA9w2V407CNcCA47xzekufQ/v2q/aKTN Un6ajYoVKBp4FSHRNPISSZqQjc/QJwsYujS+hoxc30OSFCZWPAf1Z7kBMupZfwAEAJg6ENcN AIBt/Q2e935f29IXcA7vb1xQwEnjAh4deGOon1G1wX9SkoVeM9ijVvA/jvWtrK5t4nIWXd5a Xp2Iux/Vs+h+92iN1gbTKu0DqRnVKbztoraYfrcA+d1a1BocV/q/A1Q+QaV2Lah5Bv3fRZYy 2ze1jBdNYuCwtCYOCBizOHcWzzVd934WwpqSCm7TKzbLSBJHtnKAfdoAY7BsgJqDg9L9JMyS DMaLXDo2l0RLBtus2WQxACYJiJTMtpQLJNmkaggpHB63UMMCfCyaLR3LBALguzrblZLGH4wj z9UahwnDj26TMFsW9i4AnAnHkzDeg4F65oSZaBTZwYgRXHwJResUNMKAQNhisUzhANzxAER4 eXE9sKV12CfK47fD8Xm7fygn9PdyDzaFgGYM0aqAaa/MrrVGtbDXRv3NGZstL9NqssLYVEfU MfIhGsImS9xVQgLnvSW537FVCQ98jw/Gw+3IGW0ce3c2wMbgdiRMgcaGB8lT/+zzPI7BlxQE JjKsJqDc/Y9d07SIiCYY37KYASWGao43xGOWDNyJmp9uMNlJmv2UZGqkTqHBcVxeWL5QuRAQ nMJTEMBr0FrNBhxxAocFHSFrKEQRCzAOIW1m6HBoWMESDREVPXhKcUJmaoiPQaNRIpMN/C4c ddCY7vmKgsephwh4kiyQYPng4sDI2aeHR9ceMjeBh3KZI0z0JObADfT4hpM7GlPMqpDeBCLq blo7EMbDmegfL2XnUaVp3ttImhJRyAxsJURNRQqX8ekcnqzvLm9dAjQrAi4JDZ0tJgZLA0Uu Ly/8sZwhEJ+v1utxfAwWN5Asmvk9EUPDuLianpmDrcX1uTUivjwzu1j7Q3iDlCIcR5qjnzm7 ugqnZzcGkZ+4HOjA9O3ptHt5KicvT9sTKi1APZUPTgZM5KC6juXk2/Z59/TDIXCXqGK5pS+T 4OB1X24q+I0ffF1hvEvdjp+3pvjoVSznjt3NkxLMAaj08/T2DOeJEpSOWkSiP19aigU0DUIk zHlxMYQrkn52oQhZ3140rnz4dHj47fXwdgTT8njc/Q5eu/8+dEqTKgqovFvwaHxRzpBOh0FP P+LGilzbXpYFVwEMXziWKwUFB7De2bsxKu1bdAM2Cgnde3dCa1zFi0I47ljFpFZOnIOJoRYJ E6E+Xl6ee8JkybKQnRGt9ZmHCi4pncm+SXRpEhGCkjmzhTT1B0IVcvnx03p9RiLTJThV57bv D9gMMgM9EbHFGQIl2EgoV+kZCRb25pwiWmfkzAYkJcmS0ZU/OQC2oYD3Rs4wV+XZ+szl5Vfn 1CgmjcFHGEkVGZJV+unm4magScXx8FC+vh6OPTNpMizmvVtqrwXe9oB6nqfwoIhAK+yirqa/ X+sB6KY3aSA1OJV9whp8o39x4cIgEjoj4cbFhKD7wJe+XmkvnC37cC42SB70zpMEBsp61OLy ZghxXQqEoj9f5Szb9F/H57hLZlj+juGg/epxHlZtuy56+MNtIIv+X2QryTTVc8nz2XyUtiIF GnB7wDtjmUcJZ2A/igWGV8WcJsIJBEbAeNLksp69SgXdWCkdy18zTAveMEX58nI4nuzUjw22 Q6IhZ5epEgnTxZWbQmyhmHzw8qAhmfqTHA36cubhi4kweBwrqu8u/gwvqj+Oec1kMRMQTbfQ +T062hAyXk4/dTD7F6HEiGO7Bw6/64DrbDVAxFmxBE88sgdjjhiceV9GBm5frZqUuyDZneve rAhEfpXNS4p5PqPwVtwLTnmUY6CV2HGuSdWj81zc84xyGVF5d3nZDkvYLEsxpoRwxEpg5SQ0 SdkV03MMPkKxcYI/GiID/DqXSIKRw1nk+eywGx7HXZoRRfMAZIcXdGAsecOHz2PbnENM5eYN mmSg2UMKMZvMQ98F3ptEm+SgGugaBeliiAmUshHIfCIEzSKYPtK9a8G9ILSWmbPIIkwjLNJC ZI3LwHoJx+yv65aMD4Mdwy580lUR3L17AL4dnsq70+mHuvjP5eXNFO3bfnc6PsKRphg1wJ// TG8ub28+Ta8nR+D33YfH8vcPx+3zxeT4x7velOe2Or6tAYmRU8/GF3RNw97FmhDcWUcSBY5Y nvpqi5grLu4xgxVFzu5o7C8dOCLWxjTi8Ad4z+l2v/1ePpf7kx3vxMfyv2/l/gGinYftU1VV cdR6LN2ElV2m8IxuJ2aPT2V/rmFlypqrGmBDBvs288VPhy0WQSYvh93+NCmf356cPgZymjyV 21fgw77ssJPnNwB9Lesgony097aMhXdbo0tV9tls77nd3vBtq1wJp5RZA0z26b6XU65RasGE SSf6zAQ8/oRSp2YOMBQTA/crrhQU8IKawMc7Z282k6f0O4V2asm/vSqe6QraXwrBV2DWaRyz kKG2rhNyI2ZEpD3b0bBFcKWY4ymiMjGWp8/kKj/LAiozs1N7bHu1o5dXydju+PzH9lhOIhN5 OqnRmMl0RSRF45ISP8/jVRHGdRHASzDjfAYGr5lr4GPr8vtxO/nWbKMKgG2HZoSgldz+AVwl HMqN0P42CbRxOXbGDG7Z6XrZHh9+3Z3gJYF9e/9YvsC63idQ6Tc3M24UYw9mnA9eJUmdXP2i SvV59/oLqM0iIQH1VWCqGAisK/a/gKUG07cigz6XfiKxgkqqvQjw/bzwbJgywNVNonTOeT/G j1KC9TDNZjnPrbnayiYcC3Vl3aYwJDBILNaAP6Nz0Zd9otAoaRZvmorfkGAB+qJfKGyRMGvd aOI9ltlV7YcUqzkEB5hK781zNQ3A3QWnttC9SSQFQ0hQ12H2uagdNiL6PKwrKDZomC8xlQqc 0Qc3IUW1CppY32E6GfJ5rdjIU/WFNN1XnilqnxJec6LtgpWhMKuD0Ggaam4h6xY2F930UDQ2 YWRsbxBcBLerahWnQL7AeTEyuGAD9EhPRI/K0w3RowDPvWaCoCEWPqwannHqlXmDWJ+UAxYj AwzG1GCcOm7HXSeX3iOgaxCx/iPxjPo0vNmm40tzEfFVVg1IyIbnfXE1AX8t89ouUoYJ3FYR AH9Bh0cWgmO/HZvVlulqgCChW5ypXeHqxSC/3dxAxi37CUFi76hYDecZhFZ1h5tcrX1PWoPi 0C5N53z0kefKnjVxHbP5Z+qQ52YytRpwcSPTXmA3NS7seqEaWqGQL99/3b6Wj5PfqlDr5Xj4 tuv7r0hWH+rcNgxZbXrqUnJXmDuzUuv3JPkM7Av2Dobh3bvv//6322aJHbEVja3rHaC15QZc hJvQSEaCUu5vnrKowStDhsG/EuT1r6jxxQ3jyEE58i+sfHMWUCUpNhPYdtEU3xVWqLuURa0R 7PPWglLF+hiGeS6qpskzxI8OrtDegwNdrb79fkQ9j5Jh20o70hnQUI50stRovDUJNu0cDdaT V0XKwDXNrA6jgqWmxOnvS8hAl4IG2aQBT/wk8PzShm6BXRDePqGqZar9uShUqBgo6C85VU6t vGkpCtRIG1yHH2s+7bqSsFwwJskNFaZ6/JeIFE3IbUyyPzOOZKvAF19US2ATRqz6Z0R2cUGS gaYR2+NpZwJIzDG6PRIEXCwTYJBoic1KXtlVEVcdacd1COEdcBeZ9Fa0t2/Co6o5l3ftbJa7 nX4pGK8azSKwV27XvIVcbAI3/GwQQeyP9t31WhWqMqvuVXXpgycACgZfI2hxt/+2whtDWuHP 4bxjTSZ6bLCNdEe73QNEg7MRFhB6WcnGNiI37KV/lg9vp+3Xp9J8XDExXS4ni9EBy+JUo/fi iFILLeJIMF8MD7g68ulSI/Db+KetU4ITjDdP1quoUDLR97rRntX4OCHaszkEj0+KWPxGYSnw awVhvmNAb9MzEegu3wHxNLWz3UrPGDurynz5fDj+sPI8wygSd+U0kphtZjwyUXiRkn4IhNGN 6c9yBaVKwQttJARcK3X32fxxHLFw0LqD2XlJUXh6Cd/mYTGsg/ZGLZQvV97csHE3U4a6I5J3 1xef2/4QUyOB6MW4fgsnOxMmFPQMVkJGEpL+not7wbnfnN0HuV/Z3quqt8xzgiYGNR0+oDck rdjfqZKo6ZlqYg/PLLEEiwdBVR3Y2I1nJqkz2jU9y0UR0Cycp0QuvKpqXJ46FlvPRi2CKstr /INGAWTl6Y/D8TdM/g2kEURkQbUrIQgpIkZ8Z80zZnnk+AvernOxBtYf3dn0EVu/jmVqQlwv Fg4Jz8DXJ8yc8zNRdZCExDX9AG/sGlb1NPV1vgGRyIQzGfwuonk4BGKifQiVRDrSg9tmgvnz ahVyhuqSprkvtqgoCp1nGU16x0nNMfytfhvwtzlfsJFMUzXtUvvL7YiNub8RocZ1m/IvgHdS EH911eDAPRxHMtEvatlYDzMyj7R28hYKTB/Mzvk1LU2YB3bQ34bVNf7u3cPb193DO3f2NLrp udDtLS1v3Vtb3tbSh1+KxH4WIFHVE65AjotoJAzAU9+eY/LtWS7fetjs7iFlwt+nZbA96bFR ijkPsoIUt04TP0KzCGyusXt6I+iAUdVFn9lf1XVYf804IoiGcPylVLujs9siWf3VeoYMFLXP jKRC2zrC/BxcfwXFGQZfRtoPDD/axCxc3yRYT1BogR+gQrQVb3rqxowW843JvIDhScXYRz9A XOX4/JGHOIOE5x+F4ZjsgD3QfpyMRuI8NtZDqf3NzMl0ZIVhn2iNqDLbqCgU6WtoAPmrBwnJ ik8X08svXnREQxjt318STkcORBJ/l9Z6euOfigh/KCrmfGz5W4jGBRn5JoxSime6uR6Tiurb Hv+RQ/9eokzh10Icv9713wvcJDGxpRfNBfjnasV06NdnS4XfE444UbBliJgW4yYgFSN2Cg+b Kf+SczXuiVQ7hQh/lCK5Aj9eoaI/R5WFyqdFESXXRZCrTeF+xBJ8cSwffvrxCxt+blj7e5NT +XrqZRGN+ljowReDtbs5GNlD2C6kxSuSShIxfw0uHBHEwC+7JIazj/ZUx8Ui9EUiKyYpGAEr ZddA0B22oFhFcIt1BlR3MtggJezeuniGj+bSUR2JARllnoIV85++HohyQBOOoRB+uw9KeeTz u4Y+pFjzqr+9gMg19wXPLTVmu+DA5isndHHpLAqGuzfViyYvjiToUysPXeP4CCe3ZKEH3w4P ti8jYn1MMZwDeeyZIGFBxehnSwXWsGE1v3ngJGxupwcxKQQZehAyxIhVaaeQY2Pb4PbvUN29 e97tX0/H8qn49WT5hy0pGGO/nmkpEjpiHVsK7yfbnoVUE66OmX53RhiS5We4ivEr8nFu2tfM F4oX3VwrBlC/tY8XbCTzjFros9+Ch4T5HeOQinkxlpfNYr/CEIpgzWE8DIr9OJ872Ng6pasG Tqv8ITlsr/rmr50iJizhS2+gSfVcc540lqtfB6zVehO9R+Xvuwe7e8MmFqHTFClGGuBFGBIZ DQyFKY3sHuq5J7xNDnTBfFW6qjpZvSmgpU6FXcZrIEWK5S63nEayiGCd0b9HWa3V9qSYv+tj sOe2G+TpsH00fSQNw1dF2/rWMHoNz6Cd0PnLRlrqwmrV9e6ro/SVQjqiRiiGfSv1TtuknqmW YIHASS+2/MM3GUk25kvVBHQpR6KeigDNUj0NKPt07AMnQ0bMJ581sWkKOZMrM4X2XPPe35eB X3QEdgMIWBgnl1n9Ltg0HMCU3S5Rw9LU/twWu0zUHC4xws/oYzffj8iYZmGl9fxdeSOi3vZZ P5pX5sh+IMNU6aCYMRUURPo1T8rXesQNVwx1D3aSBbn/ppZ0bQTK+0G51e3dbM7ShhzUUzj2 ucos8wppqt2Ko47M9Q9L0l3Z5mV7fO31jOEwIj+ags/IKnZty+5zQBSPW6g7ZayGUzoUcPmm 9ddDNSg3Nfs2G89fsfXygPWe6ptefdzuX+teymT7w606wUpBsoD31dt4k37vFIMesW5jCDaK kXE0Op1SceS3biodHWQ4zUf+CghEtuU6eFFVqDKQAknSD5KnH+Kn7euvk4dfdy91a95AHMJ+ C6+F+4VCoDymU5AAH3tAIIBbsUjPi0uX6z3s9Cz22sXCtgp26YFN+8IHRx0Xu5Evqo3QBgpM llcWz3CvqhRtX14wnKqBWEaqqLYP+KXMgMVV8wSeWIxGD+ZiE6IHx2mqCX+xZvXZcPn07f3D YX/a7vbl4wTmrPWPdfvWeviheJyAe9jnaYuoa5nmY3J/wdwl5yPJHXPh4VxMrxbTG39uEkmU 0tOb8VehknOXLebnsPDvObTREFNkWP8pRbvX397z/fsQmT1w6Fw+/B9l19PcOI7r7+9T5LS1 W7XzxpItWz68gyzJNif6F4m2lVxcme7sTtemJ13dmdrZb78AKcmkBFB5h56JiR8piqRAAATA Mj4sydmbnxhzXgp0Shyfziq2UKRIY75GVS2NYwyCAb0+H6UfYiDAiki7qPq0LqqGq5WdbffR 3Of53z8DF39+fX15vVMd/of+kmAAvr+9vhJDp5pM4O0ycU0o7XIAqThTske46Y+HZ4rKW0Gz 5AGB8U1uRB8x70bFIHmOcsdo9vHlxyfy/fE/IHm4W01Ec18WmICM/04qcR0PhHpgViVJffcX /X//rorzu6/6lJLZHXQF7jm6mWtxplnW/NP+Z9xp07vUKFTWj5WyrYPcZMkfiOgG+vpwihL4 TW+4gMvlPYUxnncy4ya7guslU26XzbHMEuuIvAfs0l2XS9Ff2COE1D1s0TmZs69HHLJTakfI DS0jW2LH//gIis+ONC8l0hDVS8s5BKS4UyEkk+IRqOjUIOs0NRvojtlJ0n25+8UqQF8Cy6IH ZZYfDPy2zn7hd56YOkO5V+n36jOKOGk+6j7q5nTqKe1zizk9eh0bpaWxJasrIup37l+U61lx yjL8wdcCXbM0lCazVLlYKCfS/wunTeswCMTR5tYOltQ73iVNdXFHbQ09Fba/aecwkE/3a0WR lMko9LZmitAEo9WqexknZ7o7mH4GpwiNJc7+jt5HG8DPeXrXGJGzvWQO5VfGVKRoMqoPY22u t4CbbQ4smNIboyTwg/aaVCWfu0HGmbDinZNTnj/iAqc1h7jZLv1mtfDYFpvGisUDXpaVzQlt wvAFCC7dW1QlzTZc+BF3lN9k/naxWDqIPh2YD4JxA2z2KgEUBG7M7uhtNm6I6uh2QZsaj3m8 Xgb0kVvSeOuQJiEfgpEBKaRaEip43wNrzeOvaxcMOTTUYjKk9tok+5SxQ56rqGBEhtgf8xHt tZdWqHn8mK5iTYFp9+kzvBudPlLs6Dp/gAuRR+063ATEmHSA7TJu16apfihv2xUtoXcIUNeu 4fZYpQ09ox0sTb3FYkV+j6Px6SLN/nz+cSfQEv/HV5XB68dvz99BVn5HhR9xd68gO999hi/3 yzf80xxXKa7jY/khQO3/3e50BWeiWV5ZycIECZ85/sIT+QjtqNXUuVf8/g6Ccg6L7C93319e VS5tYvGcYR+ZmKN6v1hHE8bUxEdGskV/jlo2LaaXofVPk2NqZROPQDst5tbbflDQkTsvLdWh jgSK75J0JsUKxqeK1RMz26MqUYnD9oNznOpB9+i79/98e7n7K0zjv/5+9/787eXvd3HyEyyz vxnOst2+01jdio+1LqVNgUMlWg4eajM5JXsyczyuXgv+RgM7Yz9TkKw8HLgzIQVoYjykHwfs 3oZJ9svd2u90VRCNJ9NiQ/bxHEKo/86AGsyjPg+B/bVhMtZoTF1RzfS69uh1JyN5UbnW+OaT I9/uaL1bQg/9ZdEykpZWlJJPfAwgHMOiwZ3f0EaE8X0UqZwYCHZlkXBLRIkoJAUP2w+n0QnT jWE8qBhch2unTDmrShSjFw4tfVQs6dxyFDzEYE5CdlGdnhJaej5wJqkobpgtH94LP8mSOX2U J7qDUH49q5lRGdKZ2mdOKi6ynAh0Tr7AzvXl1z+QoTf//vL+6be7yIiGshT3bqF+tIpxpomO BdJeXue0SEDzjrIoRhugneS9285kw6zeoXYePZnRJiYJllYhRUQTzYN/s/xUl7XlBaZLQPUJ QybNlFF9V5dREpeUG4qB6swJltfAzv6lDBLHi/LSIzsaR2dxymmSqOuT7Z3RhNs/FzOdUl7/ 1qsfUtAqxTB9lBUgBwVgYZ+3YUkXqtafch21sxLNOeiWjZ6lT102/BvXUCXXosKck0UE/dQh gcxhm9HWPqqjhNTsDZBOWkCO7VE0IM/HdgTEUbTBMfGvh5EHqAHALS7lydVixSqzRyaYD8rR PZH2iEDieDyItzlFl9SyCxlEjGPjXTQ6UB7VsNVRvhAmCBBRUVrxs3nWNpfJ9mSS93TCOLNd EdekH8YIU07WTxH74S9MCkggtv4KqDMfjGq5SXNu/IpIItXdCPxZl0WZ06utsNsW1/aQfmjF w1oiY1qMtivQKjAcnXww7sqY9tF8/EMcbfDT5tSUhxiVMm6N1/nsaqzhdUAsIztUo5NnTZKa KG9O9klE0x52KftBmXVTMku1iSizqN7Dv5SZ5iYno8OsJmI8S20l14JUS2mmkceirJpHO2PW Jb622ZjrTOuehcXW4ee1PgrG1Qap6I4YjyJYp81exFNhhwfpkusl4BLbDoDl3NelzSaEISVq xWSVDaKwKK9arjV2Uyzc2fuhLosxgFhwC1ZjhNxFnKdc1/A1P7WOIx0ThX4rIA1/ANgFMLSM YKzAM7uKwsDiRGdGQUkksC3bLmaqwBBEmguUmOOW4Y0ytTgc0BXoaC0PbfUU4g7LJ2fCty9z nIGql7ISzKh3pFWIKE94Wifl8YA2DDfb9Y4FwDrYtG3roocbF72T+ZwNrMLQYwGxAImQf4NO MhvTeyYAgmD3dIs3VOEy9H22UaTLOPT4XqkWVqGbvt7M0LdMt1VKx3GnRVxlp4ZtUUkk1/YS PbKQrEF51Vt4Xsxj0KmboXXyzCzdWxyYF9NCyfjNBjGEb3lASH5OBpmDRehUYBH/BpEMF0t+ NT84W8dUvjK9d9DVFs7TYRt3jgLupjxRpt6ipRkIqouwfYiYf/gZtMymSVl6t8EcgIv5Nf6X nQKY33tQqbYBE4hcVcytN5mgjmkx47YKNlJOltZOpZJxR5Lm8Ei8BwmekXOQXKWHqGE8DJFe yyz0mBOYG50+IkE6yPWYupqlwz9ORkWyqI6j3veCQhYVtmTRhWxcEsq4i/BBhU9yWKJGxIZJ k7aVQR5daQDlccukzUbK9chMSxzV2dZjzqyg6vqeVquiOgh8+jQNankLui+XuFiuWypE2H7x kVNLJDfrOFhM7PFE3X6Ds2yBK7qjUO44O1Jes5y8gsQ9LdiZvYlFE5f07Kr9gSfVoLpbanuJ pyX0BxysurT3M73p9oPbQzPMxyhBi7GDVFQZM9YDuUEXha/T4kqQrfErd4CwoSUDQoIigE7w NK+7iL1I59ZWniYi0p/crSYsr4VHR4oj7c+Fg+ZTISfmE+uoE1xvG4v0W1KlsKrp3cuuB/wt 3BAVgYJfspnuTIG3fny6TRIU4RhNCnCqzUnri7kwpb7pbtWNqgKHbenxquUlDOdeu7HMCPDz uvXmJtXOkRBfPH92eKX1mEvm+YFHsywgMXsGkLjt5JIxhxlmH54ek2iygT4l0Hu6K0jyvPoy 06xSMtLCNo/eAskunFNdv7PXGNCuWmQkkxqUYmF7SuuT/t9VMpnLF4yk+us00vJvd+9vgH65 e/+tRxFa14V5rj4G4jqvMjoQkUo3ebxJyOT3Z2urgJ/XauTX1J1Kf/vjnT3gFUVlZihUP1Ug nKUwqNL9Hn24Mjr6RkPQ/Dzyu9IEfRvqPZfgVoPyCLTedgwa4gde8e7KL3gT2D+eR/4+Xf0S 85TZ0b4W4JfyUffOKk3PZJfT84iHGKPJBYTpmvfp466Maut0ui8DuYnelw1AFQQ2t+FA2xmQ vGc8zQbIAyhxAcVxLMRmQb7Kg/Q9xro7YJIuMLxeh7QrzIDM7u9Jv7cBoO4roPqBBLX0mJj5 ASjjaL3yaK8YExSuvJnx10t15oXycMkImhZmOYMBbrNZBjNznce09nEDVDXwYDemSC+ypHnY gMFEAbhDzDyuMxfPgGR5iS4RLcXeUKdidh3jJV20K9ZtXnP/KstTfBxlMZoi2/nvJo4qz2N2 0AG0i2mOb3ArBx2YFaafodURDVF5Vyhzf0fGt21AjzYT8RqF6IeDt5UK0z/BpEdJswlXVgoV m7wJNxuyfxMYvXxtGM0YLUztgSgw9s6igMohM7cPA0jAVS4/8AonYDCijQW9Q5vQ3cn3Fh79 SU9w/vywoB0H8wKLuAiXDFuy8I9hLPMDd9+fDZWyqfjTwSl29TFw8lhEVU1b6k3cMcqr5sjd imUi05TJlWWBDlHGRMJPYeiUKyLaRGCh23i5YM5ZTNz+9IuQDa0+mLhDWSbMzmENjUi4GxhM mMgELKP55pp187hZ0+zf6t2pePrAbNzLve/5899NyoniNmh+pVwiNL5fwgWjYEyxnAeniYSd 1fPCDzQJu2vwkUWQ543n0fuQBUuzPZoNBLNnWVj1Y34h5O36lF1lM//Wokhb5hjNevD9xqMt ktYWkhYqy8D8LCegQcigXdDilwlVf9cY/fEx6EXML7IPcu9LItUp1EdWjzIalzleuc0kN5v0 VIDEPL81wCQq7jQ/R4D0J97ZLI4WwKe4+e8ar4tjEomZTEdkKZM7z4Y1HxrvRnr+cn5FNjLf f6Rzp3ofxSnvD26B23DNpOuyhq9q1sFiM8+On1K59hndwMJNLoOip6M85p1AMd+meGgCRnLt BFPBMJE6F1MBQGnFx+fvn1WeDfFzeTf1TmbX8iHK03HoxeD/SDV685MnjBr6mb89f3/+9P7y 3YgL6kdBGvmkrHsYtZco5q4oGn0fUWMiewBVNlyh1FGOFxJ9K8Z8x4l18wWma92G10qamaC0 fZ8tHKK9rFGOMrzyQ2d5YVyBYY9vaLWku7cb9HW6IgbOSdJbJVN5JDEjSZdSvytP0vMo6g9K 7ke3/nUR79+/PL+Srgz6tULfNlPoILO3339ShB+6ugogICIuujaGS8TxziI8gMWjCeJ1Onh/ mEOUTqfYolaJFZtk0WAEIyZZiYa5NOcOAnLLkvP9sSD0Z95BTlEts9HWZSPsNG1GofH+k+6L vWDcu3tEHBfM8fKA8Nai2TBcqgOBdr3mbi3vR1y7N/8iI3SNd456B52DiX27bhmbVwfpzrer ZraxqGaSimjyvsmuWTXXiEKJYp+l7Rw0Rvc4dVmNOIgYvlVaHuonAZMSxSRnHn2towWSx7LO Jta6jqhud2BOyuHTuFa1KCTNgI7nGJOe0jtXlQtQJ4skI3NkAffVlwJZB5N9ocrUClsUfR3p DTY53cXECo40UTKGfxXNbGGVZI9cFNh0DzOfqbtcn2CCbpdNTngjSlRTa7+Z+Ql+XJWhClZP aRcPF3TeBhhLjwBmkmkinU6hjRSd20vtEPaDouxQ7m6J1rDTw7Zv3717eyl9R++vmJSpS6Ly 169vP95f/3P38vXXl8+fXz7f/dyhfoINArOr/M0agv5+davz+qL0TF8DBZ0V6PrL2AfUYKAT IeuPiIgkxVyQKo+aM9EEYtM8PfvM4I2/pL7sqrMjiuIXPg0VYkveXIvkKo7m+1ffLxmREYiN yCUTgoNkzRAnCzT9Exb478BGAPNzk+NsP39+/qZW/VQMUAMqSjwsPDG6gupnuSvl/vT0dAWt jEnvDTAZlc01Hee7MAGieBz7EajulO+/QQdvXTaWoRm7wy7k0cjJE53TTBFxMTpWF6aYY81x Nwh+YjMQNhrV4CFGvSVlfdUJ5G7svuJP4VUOD5XwyhAusCwd7qNBpSx//oGLIR6yzVD5elTQ o9q7mQdNmLYu3GIq1ohMHjHU6pOMTGq3OtgyLQ6cezeSXV7NRroTln7jHywE5Kgr7vyubCks j0IiSg+uyqX+FFh672nIAkCUC0WzXtB6u0I4BEZcFFyeHyS26MfBUyeMxyI/PRYPeXU9PIwG 4LYA/3h9//Lt9eVPWHqUVoG9O00ZG1atvr+9v316e+0W8WTJwj9uJ0Uy5hDBiwD5NPWIklm6 9ltGGMWHsAykqXJ6zo9kOuzKzkIMPx1eUYWsEDEZFiz79PpFx+5PRxMbjTN1J+G9ksfIxg2U UjrnQOPFP/Tkn+pKuve37xMZo5IV9PPt07+m4hNm/feCMMSrGlUiQtN5RLv136GTAnsLgOFF 8vz5s8qTCBugetqP/7VGw3oS5moI/Yo5KJ5ix+eOfW7GyZsNLyYKFNqNGAVRwNK2fuNftiqP W0dXk1o0mjIRtsxymB3aqjaAmLjrnp7Hlb9sFvSxWA/CK/GYKN4B0noBoy0PEJnv3YgyTrOS /lx7CCYJh1VSixOlanRXbuEloSDdg5SvxLzjbRrwtxU70hWo5FQV+tnq/FWB5/eIct8LkKMq on4YB+zpKWU3DNWbySXU5qVbX5+/fQPxW7VACHGqgc2q1SE6/DOmG7pNd+2cCpBcuDsbtOAs 8X8L5ohUQfpUu07JWCNr94Adswu9hhU1K0EVP9N8TAHyXbhuGJOyBlQxOi46ZizKoyDxYQ2W O/p8sp/YmHH+UHTHbqroT+nZOad5ct2PD7LsK7ao1TOofar05c9vwF+pVeXymuoABZNYQE3i BWbaMU3KB4exuN0AvmN4QM3aBowS1QH2YeCaaFmJ2A/Hi9YQ1UdDpD/MfeIYuqME1XO6fPtp mdYdBJyZ6YCP3FvTrL0frqU3co+lRpw+mtWAeLkMQ8eUVKIpmWwvekHXkbca59XqLVzTV9R+ iKASEq/e1SKo407DDn2i1+GFfteqvKDl5Ew5XWoaZtgzDjOMQq3nqIJyv3dA+iZGTzUQPRNp jsmFkbqMKhhkcF8WTNjOCNhI5nodA8ey2DEI/5ScHdQEZzL2t0zIjYn7aHsYUhRJwckZBtLB aKewYfZoOV5j6lRl5WavQMHEeTmHsh6N94Vkj9OVoMsdUn+FkZUIpb+3bjeNkhgvIoLdnVYp VSp8vhk0QGJQLDL7BePN0jV/TRp/w3AHC/KBVuhF0kOy9FBe0zMTqNOBmh1z2Uz3Rhy9r797 8DfcJt9j0Jtls1i537kD0a/U9wZA4ZbJONhjsircMB5APYT9aG/PwRwL7rnO5HLNBDj0kCSV ygKqXm61ZhJT92gYypUX0ENpYvzA/XaI2SxpnwoDE8BIuqc+3y1X9KP6STtEp0OqOdbKPRS1 3K4Cd59OceMtGHvM8ZIznAmT0+QRpeddIryJqzTOs/uSSWqrgVCUl+ixPFHWtwGjT3PUEcc1 LdDTNSEege7ISseG1qxLcXoAra9cnt8//fb57Z931feX9y9fX97+eL87vIHE+fvbOKaja6eq 0+4x10N55hvkU4s35V4O7fFiiRPRHS46MU9C1KhDOkG4qdf51l8sSJyBgp1/2xKzrCWClUm5 rbUuk7OzC3t5SSQoYW5UcnHTMUPmsp0Zkhx9eH0P3bsmMwdC20+/Pv8AxWOYw/j5+2f7Dp5m V8WOcWowBrhsGrEbnYmTkYi7OI9I+G505bKW4NEK+Y8/fv+k7spg7wHYE6nmoSyKZQgsgUlq h4BmufFoptKTfUZKytWODnoXk39W1Y+kH24WXIY8BRmM8UY6kX2XIV6Zt3VU7IR0zOIkpghN Ho/HAYY22C6YHVQBkm2w8fILbZRVbbeVv+BdAxGS41Gsa6xFzNjwcnXRLGy6fA+RHPisud6A uLqoIPQO0ZPX9HwPZPoVOjIX5q7IWcE3ncfeEhOEuN6vx7he8CjWK/jUcUTpPU5iMnF2JpAM zXPWAHyCeGjWjKqP5Ps0d9UOwyrnctzd6PwMKfqaMVbqRQhSUMAEZnSAzWbt+Gg1wDGRGhAy N4AMgC2/UhQgZMLbOwBITs6XCLdMeuWBvp2pv6UNRoou10tX9bTY+94up9dY+tSiwYfJWIms 2kk9C7wQoORc+BAC0ggT2g3EKt6DfsQcFyhAzpoMVeMyWDhq13Egg9BBvw8Zi7yiFoFcM4Es SG/S2JGwDgFitVm3M5g8YGxHinr/GMInwvOicbaxm9i0a4PFdDezK8u84vY6rbCPNycprlG+ XAYtOmBzcVAIzKrl1vHNoE7G2EC7x2S5Y9VEWc6k60XHZm/BKE3a65mLN3K5RKtOKYCDlWgA o0QNAN/jv1V8bxgZx9baIYI1z0+6pzhGFwHheuZNt8w4GQD3/j2AXPskgGCLWTKBLZdstVg6 FjEA1ovVzCrH7AKbpRuT5cvAwUdkvATt2DFgm2y9bplL/1T99TLczAC2SxfgIW8dSy8r42MR HSImOxxKdLV4KovIOWM9xjVhlzxcOWQCIC89t9jTQWYesgwWc61st7TdXvFuFWiQbNjsESYI JFHHLjC05AA1EqU4Bx+fHsn2RxcupWnIBpIeTlkkS+smy6GQTyIyIHR2tXOZyeiQ0o1gzomT 9r1tTpxXww2ON6E2Ffrhf7ACSIMHjuncUKgFhgxzM1BJsGQkImNUoq3P8LARiJ43Y/SiIlgG jC5yg7FWxBtENNl2yYjMFmrtbzxaPbvBcI/dzPVdgWj5wQSFG0ZPsEGzY5BpVvkB1HpDs7Mb CtWDgGF6Fipcr+aeqFCMO7yN4o5aDFRcebDRz8KqgEvhYILCkMmYYIIeNltGCzJQoAfMLuVq f3pKuYgMA3YOw8XscCkUc3QxQjFSkYG60J4LN8R/ObuW5sZxJH3fX6HTRk/EbIxESqQ0G32A SFBCm68iSEmuC8PtUnU71mVV2FWz0/9+kQAfIIkEFXuoss38CIB4JBKJfPD4AHFk5wriQmJe enNrR6C2znpuygvpZLPyEFe+Acxz3NnuUvIh4vg2hiGC6Ai2uqttm/kvPY1to3rM9JDTbmwQ 50teuKl0Z70S8Nv1y8vT4vn2bojjo94KSCLT03Qv99ulpJOUxJkQ8E4txLy1Siw4iZRi57oL XBAIgzuP42FxByoQR8A7UFlaFhD1xeTxcWIhzepBtB/16LSOHdOzxjeiq0NRSHiyXHoqjJIC EpbKkGnpgZqu6mUV0TnNQtqNqRxOU8ZG+XngXmzohL68zjbJFNFSNc1mKNV8IM8pNYXdachS n8qGoc2g7oQmDlwqN1WbaxA4LQf69BamyeUGmVST4B8Ql691ARj0R/CoUnS3WeSx1u6ryBn5 rPXPDeMun4uPyHJuokBOc5hj7DAcsae355fX16c+/+Xilx8/38TPv4sWvX3c4JcX51n89f3l 74uv77e3H0Iq/fjbdIh5tQ+Lk3SL4TSmwfRyAmR1+vZ8+yKL/3Jtf2sqktamN+mS8Of19ftV 5RL+aE1Zyc8vLzftre/vN0gy3L747eXfo55Wg16eSBUiQleDCIm/Rphkh9htkbvoBkEhGNPG fBbRIMgOrRAJz13s4NQsAe66iDaqBWzctVkA6wGx65j3vqah8cl1loQFjms+bCpYFZKVi9y9 K4Q4f/m+rTEAcM2STcPLcsfnSW7emRSEZ+ljvS+jegRTSX9D3s2Y6dTghHgjMzsJOr18ud4s 7wk+Ko565j1aIfbldmX7LkFHLvY7umejP/AlFrGkmUrx1jv5nmfDiM/3scg6OsLW++Up36wQ yUFDINr3DuFjd/gN4uxskcAQLWCHmXhoAFuPAsDaF6f84jrD5atNFuBATwMGZZxu/gqR2ZrF eXE2Iz6j1XF9s5ZsnQ8SgQSt0yY1EoBYR8yV4SIqXQ2B3KQ0iIft1j7ljnw7CiyqeuTp2/X9 qdlMTHlU1evZyfGsrBwAyHGrBXjYdVIL2Hg7Wz9lJx87S3eAuUb6nnWwoIqZEnb2Kk7c85CM oA2PKXfJCjlNdohyhcTd6RCn5VwZJ3stvFi6yzxwbR9T/LZZp6vJnInFZNGEVvkskmnh+/mj rcCXb0Lo+NcVUnZ2ssl4V8xD0a0uopjRMcMNpBdx/qHqer6JyoR8Ayo/pC7Yv/yNczTIomGx kGLcUISCfJlXIe29XW8/P8ZC1nSZ+a6VpyYbx0fO7Aow0c1q5t3/DzmwM9eeNFyzc56+oeRc oBFdHO+s9SdU1Rc/P37cvr18XBfhab+IWrm37cnydnv9AA8oMU+ur7fvi7fr//bSsV4BVpDE HN6fvv/58vwxPQJLx5loP/X4ZMmlZnl1mt5WNICwGAYpgSNVLsTyi9XlXcKkxwzig9gDhHQf IYnaAfSQ8MZFXoud0jwXH9SRDCWLdiYcQj3mmTjZP9YFjUzHT3gh2kPwBZpUKsLNsCpFhBjE JI6z4NfVcjmsTgFiSqRbG6/5KFrCAAwxCWpxxAmNZ7ZxRwfU5FAMxIM4YYKxFNY5A1p3YGp2 /cVtcioa1KxCGgg5yizktBDOYsyVoYWAGy4ceHZb8w41wY33Qm2VY41X3K5ITNs0lH8M48Bs LgDUhMSsDhnPYyTaquzRTBxLibFlesWqJUG++EWdL4Nb3p4r/wbe2l9f/vj5/gQXL/qivu+F YYNOB8scO4kJgBLp5THNcHIVIlkSBU18KglN3uSSODA8G7xXBKQAa8VjiPjWdqD4FOJNy7AY 2UAsGdSMksGbOwzMN/xA56XJ6xAoOUklz2xzlX5/ffprkYtd73Uy0SRUhlCyuzz02PH3TgAq geW4QxWNQYiiB/Fj5yJ2iFo5KnRSHYc7zA5ea5XA7Zfu5hNyjhoiD+uNb97Ze1xKxRKPxbFr e4wR8UsDZyfI5lCnpbtbIhcaPTqLWUIvtRh9+DWtLiw162emncE96rnJXG9o6O2WLGvx53rj 0AixojG/SMhsNZQ9ZPXaPZ+iFWLv22PF3pvXMV+6/skPz/MtYZDkkV3ENPf97Q7ftBs4aEFI cNl4G/KAsxkFLnNQaS2dbVlS5EJ6Al67SUnJXeB8Gq+3TwKsr0V97ewLFh7ocFNUZXaUwXJm bej8xf795csf0y0kCGWuU5x7NRsIaEVTPOaMFADEkhewEAkLI7ckiGV3ZLkQJcowv4BZ54HW ++1mKQQ1JCspvAebaF6m7hq5GVLdUJCQ1jnfelam0aEs3ELs/+If22IGkwrDdkvkeNrSHRcX IpoMvmrccO4P2STF/4Hniv5dLZGjpoRm/Mj2RJnY+BbxZQQ0K0QMQLNGVe1RdRnla0Qz1CB4 6m3ETEOuodti8nDl8OXKrBeQ27G8zxJLnqQXD9PijoFoJq1WTAONy2bMwEfrcbqYxlstvoxo mZITw/kTKYL8gO/iyYVHZi2zFJmTlVO5yFyFWC5SWLxs3Y2PhGZtMGLj3TmIga2OcRGXJB2z Rga6xSRMsFb3ExLvtwEVNCc5FmqtwQjWj9k2aBDf3eCsK48x3YlkbAxJRtdw36jIkIgtalKH HBf9pim9pnJAAWFN5Pmt/lSx4oG3XD56f/p2Xfz+8+tXCJQ0Dn0qTpFBArk4tP1CPEuzkkWP +iNdCGvPbvIkZ2gWFCr+RSyOC7EdDEoGQpDlj+J1MiGIPjzQfcyGr/BHbi4LCMaygKCX1bd8 D6nRKTukNU1DRkz5c9oaB7d/4mFII1oUNKz1oBniOcTjiSEo9eApeNM2R1A+agFIxtCwkqXT PDKD4fqzjRRmuAwWBdlTbsB3rELpF2H+yok+BN5IeFAh4UwEGTsfwdjtBY+5lOsNcusmII3N G0ZO2mTc6OfI3RClcvGxY8eAhjsbF4Hszf3T8/+8vvzx54/Ffy7goDzJh9RVATJ2EBPOmxzH hk7tpsIA2M+Lnq7Oi+PjYk9vHKOtdeTnxPyyTAV+xrLeaI0I8+0WkZZGKERB3qPixPXcpZkF jlDmCwENlG83iEm51kGY9Z9WzmnjLP3YfGruYfvQWyH+JFonFMElSM0usFqN4y5vpt/MJBuY GIwYR0MC5UHL0YPb28ftVTCFRuRQzGGq9wyrJHmcRiSOCpLQfRUJbnYXsXGjhgisCSkGMQBM 6CJT25B5mRqLb/hqSR7oNNlZq/u1f3QXcTo7aNwZ/qrlsVjw49RMOB3IyjNSgrgqHWctP7hp xUTJ3Dl6ZlWquSHz0R8qkuzwUR4kwwdhQlTkwCnpNxI8TJ80cdlHWcqAmnEO+lwD+2hq7ho0 eA3ys4DDobRZMqlmANTYHtVZHNZEBkHUiy6yoI748OEJnJYg868gRnxcaU9FI/zKtqHWVrJR 9FMFFk0mky/59tQSSj6GJYIWSiDcHkpNypwgkfpkg1Qs7ZW3QS44ZRl5tV5O79KO4X9Jjaiu J+2e6Z91hOgakFczzkAh/Zn+6q11Oim6yJnkx7fra6urXfwCzrUDyyMJl7sSCXa++bbJWMZg boyCYsoyfTcYZbfQyJCoc/QGGLjhhkYtoiIrRPPTIgLCyCcrwouwHEMt4sggGQQK2Qehg9nI tkXkmXkf1uhHO6LMUkM2hBHoRMSEM0l6clyyYLgkxYMu+MqY7wznsQBCiC5Q05vLblyrxzV0 j5uo90aSqBojcY6+xbm1UCAbCoZgRUAlye7gLJXB1AorA/xdlmtLEZfNTAlSAgynq6HvFcwR eYgrOd1uljA0mxViIjZ8gTko586AtT8UmWTFpZbsWPKi4Ji3BYg/ggmv7MNWj6pQt8m3oLEr /Hp7FwL39frx/CQ27CCvuqve4Pbt2+1NgzZpVA2v/HPMm7jcWAR34lh0fA3ECRK6Vi+oEiOA RIHVi0L0ngNMHiJBpXUUvadVYlKIs64VBtfW0PjK7OJkHYhhaTDSR+Y5q+V4SA2VWjZfmFfl Q70vgxPHWZlcOlkEd9IxPdF4OoXK5OX5/XZ9vT7/eL+9gZwlHrnOQrzZmITp57L2e+9/a9qe Jm7K3Nc3MLkrgQYhkQF47nllfmpcyig/ELQJny91GZqu57qRAc1kt/c2ywYU7KakKS1HF1u8 RQ3fwUJSrXzLNtuDvEn2RRyIBpbWgKgZ4wC0Wm3ro/lKYIKbbd7DeoVYRuoQxNNXg6w3s5AN kjRKg3hIQjAdYtkPFGTjIkpPDbKZa24cbDzEjabF7ENnO4spax7gMp3cM7m7iRHz8SHGXpXC 2LtYYcxq7CHG3oMBXzvxzEBIzGZ+hSjcPWXd0SbkWlrHIJ6fOgRR/Awg932YP7/wAXa5zC9V gXNXiJGijkFuIAYQszaqh4CN/0xNF2eJ2aC2mJD4WIa/DmKTBwFAub+amdQC4sx8NOVbFzEr 0CHO/Cg0sLlBPZSJN7OFsDTNIJXIcmatJeSy2y6RSBYDkLvxzbrIAWozw+8lCLn7HGB2iMX4 sE0zK1LVZp9rCRcHk5VXn4OwdcSz4sWxYeUhsSx1jL/dzY63xO3waANj3NzEANzWu688wN1R nrv08DgGY9w95YnOw4M4TIB3lLhZOf++p0CJmytPLBkXCZPQQcqNN7PcAYKEBOnE9kMZo4lu O5AyViDifxaxGfGYsyJq5Ol5OXReiOY8cTBPfx3jLfEAKWPc3CgJ3Hozwx14SbDo3zrEoiJU ECaOtPYjSkm4s5mRHSQGieKmY/yZXV9g0NA8OsZHvE8GGMQkQcMIOdfOp6XbIeIl1mEissPS zXeY3l1vdvR17NyM6rDuCktMOEE6l/X9bZDo+1txVxvC4LJCzJ86JHeJ4/i4flSBlFg3D5o5 FEkvyRkB6JxsN4iFkQ6ZOapIyHxFSCwGDYJF0NQhQwZuALgrk1JWUuzMByAz0iBAZpiPhMz2 1xzLkBA7xwAIElNbg2yX8+uigc0tCKnkxS4mOsAa6f3djKgmIbOfs/Nn59nOt2/xAEH8EVvI Z6m72nk5YvWoi6A+4rHXYUrPRQJvDyAzUnrpYQFiWkhKqu1mhgMBZpL6woSZ+XCFmdllcuKJ UycZldReUA90bqO3lWQUYIEbAaNkoUNB8uMEqC4FWWjwbWKDKwbxZx9avixoeiiPxhoFsCBm xVl1NBp1QdHNjVGXjO/79RnyvcILBmUjvEHWJR0nd9HJQVDJHOQWRDHWc+vUHDMI6qjMLIdK OkcSzkpiBfeqKHlP4wdmNnJQ5DLLayQ7gwSww56mNkRwpAWSDkGRmfjLQs8KTiwfH2QVFsAO yAkJSBzjxedFFrIH+oh3YCBjWeBk0b0lO9Ga75fYKpc4FeQDpYt5fMjSgnF8HlBwl8M7msYE H0gIv5GZvQAU2azRlLTPon9Q6oEme4bwA0mPkORSQDxmcUmRbMjwbultXXxsRbPsi+7hEe/M KpCpqVD6mcQlYjUB5BOjZ56llgIOjwVuQAQABtFrcGqJ034jeyQKN1DLM0uPlqnwQFPIGFda mhYHeJISSUds8hQtzU74bIJet/LShIhhSbLKshASMTaFpfkJeYxiwvE6CqqWG14CC4oMEhrg iCwV25NlYSRVXDL7/EwRI3pFK5j5qhKoWWFbNzlJIZ9FnFnWZU5T0ckp/oE5LUn8iGREkwDI sY74ZEq64EfSYynAuZ40xsOrKMCU1rJIiiwICP4JYuOwdVPj2oXTbfuSjCsVs9RSfEkJzvoE lcZgXYWYPUtMleaxZW8vsCynwH4KSlPCLTsXT0hR/pY9WqsQWxu+lgWD5NTCCsCh54B3QXmE JO8qUzLOp0HAq3OORLMHhBN9pgXeyjOx7XxnxpLMwmsvTKwTlAoVW/vv82MoRD8Lp+GCG2dF fUQSZUsRLs5HFbQmAwbBtUvjZpSzlS3YRNbOmXkQG/gkQoCWD06vps9xP6i7Kw6u+I/jqvSM 4vprncGgXoHWruwYsBrcD8SJRDlB9CZMWmy54UPIpzyMTw5PY7DaxditNNKLId81Msyq3DSd 2HJr9CbzKa+PQTho0bB5JE0FTw5ondJzY3XfOcAMI3VA1zdWR8PRDWlExM5Tg9014+X4U3HT 2AEsK/HOELT6fBScNWaIK1CL2sfSpJyX6PRuep/L7pfZm/geiQiozCnLTBx2xN4FdlwxefzV GZY1Su/UL4bbx4+ZTOtyGD3/slzCIKGtvcC0GwE0Mm3I436XzwvI9SS6oi6xD5SwsoTx5+Lg ZC4m4iaLaL32SVLiAdGa81WO3aVyVstjbu0IxvPVyrtYMZGYBWCVZcNAqkxIaIL3adb3qeGp 8Vuzu7+Vx9vVpPIBotgSz9vsfCsI6pKxIMfpB7sp2CTOCl6fPj6m+Y3k7B6arUqjWjAmR3ZH oJ9D/MvKYfIO2ZBUbHX/XMjvLjMhAtPFl+t3CD6zAHvGgLPF7z9/LPbxA3CfmoeLb09/tVaP T68ft8Xv18Xb9frl+uW/F5DpWy/peH39Lm31vkEE15e3r7fh5zW48Sc2jy2G8ToKlBmYTDco jZQkIjjTaXGREJMw8UDHMR46yL2hDhO/I/KojuJhWCzN2skxDAmdrcN+q5KcH5HE3DqQxKQa xz8xwLKU4scWHfgAoURmUW10UzEgwfx40FR04t5zEGW+spifWu3CAmPfnv54efvDFEBG8pkw wNISSTKc+Cwzi+V4Lgi5dYQpIqPK0iWPCBGTX7kxn5GETQ3RrPeVNR+ZkN8oPhLAqf2hkrrr NBCrzNxIeX5MVqvyBwmU0xPCsBtQr2Y1FWHxgtRQhBUB5EacxRUP7goxENBgFnWn/nVHzORK A0kR6Ehty10Bwb4FNMQ0xr0f9MpzsWOaj8Q6qllVifl6QkPSJKemNA8aJCpDJsYjQ0bqxDgS CkMDsRxxUtExs6XQ8HBXJ7W4GtGg6B+3XTmILeYQhWUv12e04Hjz04flyI2EBqnM8Q80CCil c5JC5uE7obOwGPEB0DHZHuKBBLMjkASlOHnPd6z0hp4FZdzHDChGMCzosg67VPfMoZScEqPn vIbJY8ddusi6yErmbZH7QQ32KSDI1Y8OqkgMh9M5HM+DfHuxCAUNjESzLJMzWhTkzArBmJCL CR39mOwz8z2ShppfjsHjnhbg9TkHvAjObxPMmjHIUR27jkpSJqSaewoL5ku7gM6mTmaLOzN+ 3AtparZreYXl1tBnSDm71qo89LfR0kcMffU9aSxsdwLBUM1guA6VR8mEISYBDdXBd2ISVqV1 PZw4xc8BkI28RO8mJMJySmt3zeDRD5A0nwom00HjAlWI30/IYy/sp+h1nOwEuNK1xSuUgDqJ xGmf8FLltsb7jHHx43TANwokX6c8JhYkDeiJ7QuCRbyS35ydSVEwC2IcAHSkfOC0VCfkiF3K yiJJMw5BCJAIWQB4FG/jE4h+lkNwwecnaGDET2ezQlKnSRBnAfzibpCItzpo7SEW2LLvWfpQ i3Gmhb2LxCBnfHTV2i3L/M+/Pl6en14X8dNf13fTukyzXBZzCSgSewmoMgX3yabKhNOCixi6 y+NXPDZH0rTBSDP1nfVAhOw20UuqpzNKAB0EoXSQq5Mp1ORJqqGgP+AC/vyrY6C2R9O0SmoV 84EP1I6WM1E/fNf3l+9/Xt9Fz/RayJH2R6mxBk/AFxZUCuPeimBiWraMVu9WIcE05dcVVnKr 9UIB+YU4SOh6eeI9WYsHsoszJZ7m8LpU3+FlQAPxZb4PA2sThEDgOEiSM234lQMkfjSX0Ukm qkF9TRjH/j8GHGIvRJ084+JEOZwCUaMU1NdffzIfAM1Psz29jGeP+jXCFw96nSZnJRrSQHJf xFBLdmidBvimqrrb0qqoSgMQ9iyQBKIVtfpIZMkjio2EiT1btcHyAXP62CCEvFfNUFrKEaNa I+F9FUBaD1jok2u0ATXcH8ymK4p8pvsAuZouH3PEiUEyBQh0w8+sHGoHG0SSaLEM8nPB6Sch Cw5z1TePebj1t76hjJbeRszti673caZHj+keNXdZv277WiDVUl0RLL2WeHO8E6srNpmlSSVq uuPGCMrBkmgCjYfHgA0bLB8JrlZGA1V/T8rEii8IR0THIQ5LbTVEjW5HBsTwHCT8iKRL7YC2 LFs9KoKfyMmjRyUs3lNSme6/ACS3vGTSa8NwLLLfzeIhkE4VujcCubJ9cCVayTwxzfH3g0/i O1DqkZu1YEBLkLBAfe9caIocP7VhwwJo9xCSeIgPQkITLs64D4buhytnuIrVYkjBxayM/6H3 fv+0xo2sJGhfgCCf/h9lV9ecOM6s/wq1V7tVO2ewwXxcvBfCH+DFxo5lCJkbik3YCbVJyCGk duf99UctW8ay9Zg5N5NBT1vfarVarW46cC3uSbxdzf22PTDZkhnEWZkDWw36tjM1n2uKMtx4 hN6OXQmAkqZoStbvW0PLMneYJPEjy7H7A/RwTNLIWNC3cLOwoXD0Dr7Cp+AJliRIXTZtlFCH SfBvDaOMt97RcMLBW6wSdxzbfFS44ubjU4UDRUKJT1Cce4Wjl6bXPgE++CqCEdD7SgKPuZY9 5H39YYKWhe6+UKZVETI75qVnT4BriKJp+cABUZEKgwmXUbzPDoLIdabonVY1JZ1/MR7ygRVE AwuEMK/TNN5FNRa2vBX+8+X49vev1m9SJs7ms15pRPr5RuEgDKZMvV+vNmS/tVjDjI7VZhlG 4vyBu4CXSjyOthnQM0mcIlV35E72QA9AxCu6PxT9uy4Njox9k5+P379r1251S5gmH1YGMi2H dxqaCG6LroI1wjg3SQ4aycIXApTYrHNYWuUx8nZ5bmq+8NCImJDvN2FuchGs0Rl5mQKVAZSh 14/vl/2fL4eP3qXo+uv0Wx0ufx1fLhSNRMbr6P1KI3TZn78fLu25V41FxlacHBb/RPtl5Nrb dClDNuUamTi7orA9jezoEU3HMqi6Hp7q6OaS83BGgSrMuspQ/LsKZ2xlmlK+4KBCrEvI6Iy7 2bpm8Sahlplelrt0INYTlBRSS1q4eSIWuTFReaz95Xx57P9SJxBgnixc/asysfFV1T4iQXI+ YauNEKuUmZ5I6B2V8/Ta2iZCcXYMqLCgUWuZTl4lDckNr5j19N069HdN/5h6rbON+aRD1pZU U4Pgpb5js5nzzQc2DVciP/kGApFXJNsJuM9WJB5vezw2kIAnhjWSEYpZX5IsHuKJAxT/iiZm 29EUxQsvaTLuuIMbZYU8smwQmVWnAW/6GkQgJnxJtBUk5ltBRZG6AXwwrNH0b3SQJBr8DNHP 0ICgqdVoDK0cxYovSWZ3A9t8sFIUXIjeU+DUWdEEMXTFU426mMjgjWaNxAFuSuq5gLADisSP xbGnez1kG0HSPbmyzWQC7i6qjvHEumtHu6UHxze4A40LEE81kptLdgCEYI2ku7uIBIQY1Uhu cxgQu1BjDcDIqOr1KXI0d50Aw9tzZITC8GosaNg9AwpW1t2/YhHa1g22ELvpeGo6AMndqO23 j+YPRWz8iV3G4wNkRKLX0KQs1BbD1LVV+enL/iKOHK+3CndjEEOtNids4B+kRtKKpWIgAZ4H 6nvXxNkFLA7BY9Ua5RjoCa4k9hDcR1YLP19a45zdmD7DSX6j9UQCnM/VScBT/IqExyP7RqNm d0N0Xq6mQeq4N9YeTZTudfXtYXUXawo2OXNOb1/oCKNPqKakk0+tLJ7a/b4uxymM/O02ZTk5 DTv0q9X2lIv/3dx9xgOTF25xpOZFCGRj9b2YXZ+aVHleU4GxiCBox2ERibvCCXMtbpdIS4J6 3mTCnTEx7HMvNkUiZDkFCmA1cVikbMuUaw3vd2wbUvbmA5P0VesBC2UC7xBIdzwRWXkwEFlq NUuDsmwjLiNXLCiDXTwHhkJXGiMsWgdbxgNyu8yMQ+K+HA9vF43dMf6wcnf5FlZXpBtPCSJ9 tg7a74xkfnT/rrkUuZfpxgLWZU6gcAFVIWRB+KCCaOEz8BSuUdVa49fbLjubNTj1UowX5W3f MEMJDpNd7K/W9T5QybGea/l+6/F8+jj9dektfrwfzl82ve+fh4+LyRXwLdJrgfPMf0DGHDxn 8xA8b50nkReEQHkfB+TWIOE7cBPoLrIk9qunNebSYz+K2CrZGl/gqIyipQy6myTLdVoLEkKB jgVGIQFSltVYSaFNI+waRES64nZfTo9/F+Fx/jmd/67PfspowT3zCeGaofQZMwT+Z2pkPHSQ cXiDCjiX0anAtYNOBFT0OhFwXFQjcj3XH4NowA2yKTih1Mk4hQzYuebLKKK4S7LQfBtWyya9 NytxayQb92ZlgnDre611V4u6Ypwl16wW90JmXdFtcmvdFh/x0+f58dDePKU6ttjetJQ0S2b1 iRsteebKCtY3NenrPm+m5O6s/KB2DUrPU+ilxy4N89FwVo/mYqxhbSWyMJolZg1MKLpwrXRw raZnh9fT5fB+Pj0apWifHk6T2srY54aPi0zfXz++G/NLhUBQslBzjtqXNUZHQWvuGyEwioOI qNuv/MfH5fDaS8T4Px/ff+t90FXDX8fH2pV+EVnk9eX0XSST4/l69VTQEANcfCcyPDzBz9ro dbTLQAz6g+xrfIYga7Vodj7tnx5Pr63iqr5wd7PMjXk+M/ah8fviaeA2/Xr1sn93Oou1Cwq5 W4euW8p5ULrK3DQ2VuFWQYWq/n/iLerSFibBu8/9i2hYu2fKr4y43nG6xY38eHt8Ob79izqi dI6/acakLos0fVy93f+pqXktKo1J5Rtkvpmj+tvcTUyPGWKxSrOHFtPxMha7zVR/VjO8COus SvwobR/rM/WaugNP+2oUZAKQrPg6NgY3IsJlEAaSXC+3vKIQ/N1cg+K/RhvP2ud6nqomnN7J VyS2njG/N4TIa1KU37YmDnt8PLwczqfXw6UxaZiQR62RDU6qCjWfmJm3jQZDB3oOVDhyGSjx MfYdq3CU/yxmFlDHCsgGZ2sBDYFGfRa7ltMvnseZJX9mgwI9NkCBTGOWeUDQKTBz70oMnLHl cOdFRXcDcfgzi73LLffMmS+37h9Lqw+8p8fuwIbGU2w8dPCYKxyNKeHIR6HAJkNg4SGwqQOE 2AIDTdm6YrTNIpvARjZ408xdBk1seL6cDCzg+1BgM9Z8MKy2X30ZFkvzbS+28t7l1Hs6fj9e 9i906SvYbXuhjvtTKzPXVoAWcLQoIHtknn0ETdHCF5C5hRIy6+oENAT+SAU06o92MvKXjAUe RWCNaZSYNYzHuFXj0WQH2zUGK5gg3BtjcL8goMnErMsX0BTosgkCQRII0m1c6pIY87R9kmQz FjPHs0vkehxxLTF95QfmLXq18aMkVYEogXHQIpwMgUZ1sUV+eMMVs7dbWHKUu/ZwDOyoCAPH XolNzWNeYOZhEEdpC11gEWah524FaJ7phKFbRzq7j0DfxG46sMEFNGFDcP1K2BTkuWLrMdJG c4/GgfyAdJiA5SER9SeWecAUDG5GFDzkfWB9V1BYtjUwd2aJ9yfcAs1QOUx4H+wPJcXI4iNw OS0pRAkgwn0Bj6fA10MBTwZA+1HCIxBGoyxb2u4hgjxyhw5Q5myCkdWHK6oU/LctXG07XVtM fRMKzqe3S89/e9J2HhI2Ml9siE3HB3r2tY/LE+z7izg+tLaxyaDJuKszbfVB8cXz4VU+3yru C/Rs8ogJcXlReiwD0pw/ArzedfkEcS92B11rUGFhRuHg+TxFAWxSDpDNt0nTeFHpTJotLa5K jk/qqkQMQak20qKXGgkKXQNPFVT7ri498rTsu5Y3LHUmbGVRqOHLKSRm074YeCSvOH1wYSGg ARABCYL7szMEDIagIZIGBIR2WseZ2ua5IzHg7ZUwcKMpoJE9zKDYIvYpC0m/tIeNAI+lfCej DmnIGU1HHecwZwzEXAkhYc4Zj2B/j/HYdkhRA2ACIrjCBBxBvTTJyfDZDPIhCmMRj+wB6E2x QTsWFAicCZhlYg8ejoEqmrAp2LsFbxf170/spuF2g8JxgFRUwGN0wCzhETiRFHtHqwfVVVXX ci6s8wRrefp8fVXhwescqIVJMDgf/vfz8Pb4o8d/vF2eDx/H/5IFtefxr2kUVXFLpaJ4fng7 nPeX0/mrd/y4nI9/ftKdmc5Ipi1LMU3XDLIojC+e9x+HL5EgOzz1otPpvferqMJvvb+qKn7U qqgXGwxRCBmJNQerrNP/t0T13Y1O03jv9x/n08fj6f0gim5vjVJn04dclFBkXKZQxEulNgiy 7m3Gh6DHZvHcAt8FW8ZtIYMjhUK6HvQdHICqVIXMH7KkQxMS5vNBy2VaYwm0e7XYhg/7l8tz TQhRqedLL9tfDr349Ha8NAch8IdDxOwkBrgW2w76HQcSAs2hEowVqoH1NhQt+Hw9Ph0vP4xz KLYHQE72FjngQwuS4cHZZpFzG7DVRb4GCA/HSHVDUFO/p9rabFfBxQSPuNCbjtfD/uPzfHg9 CGH1U/STYe0g9WCJwvkvUaiQDK2OMGoljDb4YJvwiegM+H1FgHJYxluwmYerDS2yUeciq9Gg EsqFGPF45HGznNsxCMVDlOP354uZp/3h7TjaAJm3piM+GJZoQIGXzFjq8Sl6nilBFI9mtrBQ iB+C0LEjHtgWsLYkDMgrAhoARZKARmCJEDQCGtN5arNU9Bjr90EIOHk0oBdVkT3to/C8GhEw AJagBcSmPzizbCC3ZGnWh+/58gw+xdsIFjkEXt4FBxWsF7NXAs2HhVXCoOlvkuZiEpmrk4oG yteaiMVZFoq7K6Ah4H75cjBAAXry3XoTctDhucsHQ2DmITHwjkANdS5GE1nSSwxY0BM2BnkL bOiAWIlr7lgT2+xdYOOuIjiYBQh0lxs/jkZ9dEyXIDBg2UQjdOX0TUwDu3WRVnI+nbMVJlj7 72+HS3EXYOR5SxjHSkLgQLfsT5GisLzeitl81bERXWngHQ6bD5BFeBy7A8cGbvHKLUJmjmU1 NdcWsetMhh1BAxt0MDJZSZfFYs10RDLVyVq5KXM407AVA/r5cjm+vxz+bZwkqNVx08mYyq3+ TSmoPL4c3wzTotpDDbgkUE84e196H5f925M4zb0dmhWRHkOydZqb7or1gaKnYWaqsirmArWT yvvpIvb4o/Hi2UH+bjxuobcidD4fdhzrh2B3LTBw5hdnd7TFEWYB3kQY4lvyO2QhnacRFONB xxk7VXS6Lr5GcTq1WhwR5Fx8XZySz4cPkseMbGiW9kf92Gy5OYtTeCEeLQQbNXNuL+Vo+1qk aOTTyLI67p0LGLKsNBIsC+huuAOvawQE4kGWvAzH0coddABcpHZ/ZG7Gt5QJKdCsH2+N0lVm fiNX06bB44Npcw+s70jad+VUOP17fKXjE72ZeTrSwn40Tgwp2EEpLPRYRgEx/N0GrNYZ9ISb IkPhLPDG4yG66soCFHl8K+oJpCXxkXnlbyJnEPUNgbSr0ejsqNJk8eP0Qi4HfuJ23+bgvRdB FtJd3Cih2BcOr++kIAMLnPTOUyC2CbYZxjvpfzJxkzVykR1H22l/BMTKAkSXh3HaB7YxEjKv vVzsTWDiSQgIjKQ/sSaOeXWZeunqB6rm9kz8aD6bpiRptGZI2i0i8sPVyqKyrtUdUsXSXDHI zXbIhEsvIboiuRAcsrve4/PxvR1nRyBkrKs/etkFoTaxFSCrxUKXvmqa5Ilkp0y/yiPNYmsc ImXuEkaqEYzTz8n2Lc+SKDIYraWLhx7//PNDmiXWZ2zpyn1HBMZdyY13y2TFpF9NSCXS1WMn sSH9BElHPjRmYbydxHdUJiSLw63oxThMw+7s0i3b2ZNVLF163qaiZuL6i/mSdteKpekiWfm7 2ItHI8AoiTBx/SjJyWWdB5xdElXxXolcrZn5pjaqtU/Jj66LvEkBi87MEH2BvT2dT8cnjbuu vCwBoZ4UeU06YSbzG+VXof6z4gOFQvW+dznvH+WW2g43xcGSLrqr6ahQ6TLbWV6/DFLgYzcA ntV5CAzveRTGaJnKA4P4/8oHbthdCtwHTghlmBmvbhodHF8Eh5XDr+1DG0ZCgxAYxKkjZRk3 WuYKLCSfY3Ve5m9zewf8MApsYPa4KpDhrs7EZcKai/KTTObZKGMoK5bwcLtjrtl0TVFx311n yEGJJEIePP6YeVq59BsSi5Limcvchfb0LfND0XcCA13yB4a2GJoHHHZy4naAs7yjLqsw6vg0 sFtfVn1IT0QCrg9RkVb6YUxS04f0TnBHuBAxa+9ZBIMg66iHJl5bUjuxC2QP2MG7oNj4zUGv sFWSh0HN8N1rJoRFgvT0dE0NWEVXFXS3TnKgzl7nScCHqDsLGHa2nPpggEXLIvbQgIvFu398 1sPbBFxOSSM/KKkLcu9LlsRfvY0nWYKBI4Q8mYoNCdVq7QUtSJVjzrs4RSf8a8Dyr6u8UW7V 5/lOn1kxF9+YJ+Kmoq59rZw+UfTylIJMDQdjEx4m5EpdSEH/+eX4cZpMnOkXq+bpp066zgPz MWWVG4ZUcV9zSwvh6uPw+XTq/WXqAXpFpTVKJpAPszxqJFLzKM5dKFaPJsgSKITOyMt800OQ pZ+t6iU0BGoh++tDIBNucN+CZsvy3LRziO06KANka2846Y/swrpQa+id69s3Xjw3Jj9NfqzV MsnIqyReY8zrwAKM+ZLzIHSBPxQQBQSFvLmjrrOO6nRtLm1+rpbrLFT93EgR/bIht/+e9Fac GQiib4kh9ZvmmeuazHM9VKEEGD2FND0ubH4uJ5AhW7Wpt7Om3NfikLzKQxdH2XYzFoNe43dr xhcA3HTsynG4EgsCce24Y2KkGLtbbYed6AijWVehKTnDBpaVD3wD+XzHTMzaO5pijH5+n2TL xlJVYGMm0u+N3fitRdopUiDvkfDQUA0ZZXPVLMsLOcURE1tYWvM5V8/N5L1unsnHE0LKSGrh J0laaf4UddELrELNqv5er7JUezBQpHTEPHD9dIHGwQ0RkHgMczw0dFG9uyKudkFtm6zBap/d iX1W68Y6NgZ6XJ1obHIspJFMnD4sYwKM0xtEZjV0g+gnaou8zTaIwKsBnehnKg7ufRtEwEmJ TvQzXQDe9zSIwHV9nWgK7Nl0ImDO0cjpJ/oJvezRKw6udolIyL00y3dA4qtnY6HYlE0qPAkY d8MQzHpVE6s55RWAu0NR4DmjKG53BJ4tigIPsKLA60lR4FGruuF2Y4ASXCPBzVkm4WRnvpKt YLPrWoJj5tIGDNz1KwrXj4SccoNklftrEHajIsoSIezcKuwhC6PoRnFz5t8kyXwQDVVRhC7F uDIr/iua1To0K7G07rvVqHydLRvuamoUdFTTPENFIMzIKnQb4ZnVuTfZ3Ws6dk1lVrzvODx+ nunyqeUOicIv1oun37vMv1tTtCvDyVzJZkWEdjHw9EUWrubgWFBmaRbHChWJEOQhiQB23mKX iPKkqIxMQApZe+fFPpdXBXkWAv1jp7JNgUY5Q7r2ESdwz1+JKpPmxU3Shx2LhAzFGgfaFplZ iSIEOdLi8GSdgZf6PBftdmU2FJ174UepUdOpTv7Xrqi7IIt4/J9fyPr96fTP2+8/9q/7319O +6f349vvH/u/DiKf49Pv5Pn3O82SX4pJszyc3w4vvef9+ekgb36vk6cwYDm8ns4/ese3Ixlp Hv+7L03x1bQUp3yqvrvcrZKVpnOcuxQdaT0PV4IgW7t55LMl9lpuJp89ZL7ZGrGDnkYL6K1D crtdjCbww90ipgDckFaZ7Jh7ScG4k6uHVc21WykjaPEklTOp84/3y6n3SPHLT+fe8+HlvR6l qyAWzZuztOYoQ0u22+k+84yJbVK+dMN0UddGNoD2JwtxijUmtkmzuv71mmYkrOT/VsVhTRiq /DJNDdSkd2gni62AzQ15lOmaor6EmlPe+GF1/JMu5lrZzwPLnsTrqAWs1pE50VQT+ce8HapW S50F8KpWkBgd8aWff74cH7/8ffjRe5Rz9Pt5//78ozU1M84M9fLMbt5K1Hdv4ZnHzdpv1e51 tvFtx7GmrYqzz8szmT497i+Hp57/JmsvVmDvn+Plucc+Pk6PRwl5+8u+1Ry3HvtMDZUbm7p+ IbZZZvfTJHqARsPV2puH5NcVTxru34UbQym+KEPwrU2rmTP5Kur19KTr5VXlZp0j7gYzXBU3 z0zNzU2ba1XLmeGTKDNHTCrhJDBf95ZweqMNW+C3UbEA/+E+AxfNalQ8IQPma+AMrmwZ54bO X+w/nqu+b/ST5kRUcceGH1HVhBtN3DS8cSr7wMPHpV1u5g5sUyES6OzI7QLFVCopZhFb+nbn aBUknSMiKpJbfS8M8Dyal3tLay78xBqLPeCyUMHdX4dioUmzjc4RyWLPAk8gahRAY3OlsJvm SS2KAXjootjFglkdzETwJWdk6EcBOOAhxpUCvEEp8bgbzoVsNUuAbrHcbuaZBbzOlBT3aaOW BYeTIS3bK47pXoSvqSg0uKJYrWfAOF1RZG7nnJpFyT10aapmPSO3pGH3bsZ43jk7iaBzxiBT nRIO5N9Odrlg31inIMFZxP+vsmNZbhtH3ucrUjntVs144ozH8Rx84AOSGJEEDZKW5AvLcTSO KiPZJdtT/vztbvABgA3ae0hVjG6BeDT6DXQwTZWdSJzsxikgOIarwlfepqfByV2pxORiVyvp 7ln3rOsj5t5a1lC/vLPUjii2Eu5GMqR34XlXvP/R5PABvOBy9lpwG/fSmae3h+8P+w/5y/7b 9tjdkHYuVvfEXiZNVKicSzHpZqnCefe+MAPxCDENe0OCEFLEhmwNjNF3vyZYS0hg8mCxGUFR DW/QLtp7ANpU8UJ722fPaviEozxJyi4eWlf+yeE4sGaRa/b9s/t2vAUz8/jw8rw7MNpEmoQt f2PagTtxWheA3iGNEU2f1zexWF17jNcJaTAJkhtx+Rfb2Xsk+TA0XrseY3sF3mLF/DAoN1km 0NdEjiqsP2vkwA7Aog7TFqesQxtt/eenv5pIoCMIw8GiTWazsiOWUXmB5XuvEY69eBPeEPUL HL2yREc+39UXXcreqdY+eJySOTquCqGzmzBLacYEqjX14QXdv8lCeqJCeU+7+4NOir77sb37 uTvc/2K8vI5h1aZSddn6/JSVVjWGl5cfjQSXFi7WlQrMFfN58mQeB2rjfo/H1l0DtWNRuLLi kbtsoXdMur1rMTqUw0YElDTGbGGYgOqDT7cbRNKlMINWlEfFppkpmTm5XyZKKnIPNBeYHJSk tqIjVZxwkkL7XM3C3H0udZT0mZUdvatoQQmRUVaso4UOLSsxM1lOBGYxcGKr6dQ5blEzodxH TVLVjd3BH44/Axr6F/n5ThABDqQINxfMTzXEJ1oJJVArH+FpjNATOACoJ+IZOSri0GwFqbHc Ohlovk4414A2zKyszyCPZTa9UJgvg7LGVliodaTGgP6is3GEWeoOW2PBtZ+x7aiSMN1QM4e/ vsFm9+9mfXE+aqN88WKMmwTnZ6PGQGVcW7Wos3AEKIHLjvsNo6/meretnpUe5tbMbxLjTBmA EACfWUh6kwUsYH3jwZee9rPxQTejG71gK2WUAGu4FrAqKjD0KSAzZAtm5rtuwpSVxmIX2B6b A89Bn6d6K4BGYQ9TliJvaX/RrBTeE4Nhh6NSLTCbNFAIXJC2x/RQiqoudF2XomTgoPSrWK7y MQo25DLv+sZ3ZAsbqoSTa46NqNT5UrLLeapX2OjnymS3qbT8Yfj31JHNUzsbrd9FqmFpUnqU 3jRVYHWeqCvUqlKm36xIrOQ5+GMWG6srkxjrBoPkNJ/rnklYpVGNTGwtHaSLV4sRt22eamUE PX/13MEk6JdXT2CdoAVscYrfZGZKCAFIxLwdlNmO+XPN2ev5aKwwGs9rRQg9/fTquS/crlA+ PVdAOP386nkujDDAtjk9f2ULaJd4V0YaNFWCbHLIFMOl+ZwlLOMCqKPM2DHCTtej1sfj7vD8 U9903G+fzMjhoADBJ6slVZzgI8waHgXuZa9eaclLSdn38xTUpbSP+nzxYlzViaguz3qibrXk UQ9nwyhCzMdrhxILXyGeeJMHWCPWe8w3WSjRAhBKAaYVC6XfNPAPVL5QlnwivHdBe4fD7p/t b8+7fauCPhHqnW4/csuvP4uWJDNekVO8KasxB2AhoqVxDhSMv1kFKr88/fS5X0ukoAIkA95x spOcFdiz1BsA2cVbAAI+Zp/kwPRZ7iMLoBKwBAElhRNoX7XQEwF1H1VVTLfOgiriki1cFJpE I/N0M+5uJlUEs8SwccEVgB5Ks7xv4Wnlya2yu+vOTLz99nJ/jyHf5PD0fHzZu6WvsmCeUB69 umJ1BhpoaUpUEsgws+U8tjg7/s2ufR2WbvJKO7V3DdYeCybpm3dadSsmwHfOijYW3ndmG0Rw FMG2wzdTPWF33SEikszk2QZ2A+Lbk0pA4EImpcx9tqD+igy/ishX0EuTXBpwsS/ahXZBQBHC 1IMxfXWQqe4pc6JGDsWbrHAw4xZL5LE+pxP9XXNFrAa9SuMkqqrJ3HN/rAET3etSHZQZwTHr iL6yDIDcOqVkIBTdTFO5PP3FzZwYqGW0RIvEPho6rIX4H+TD49OvH/BdxZdHfSgXt4d7xwTP 4XwBR5D85S8LjvcNa3H5yQai9JJ1Bc3DvshZhZYvKplTb6VrYLOoQfBWQclv3eoKuBTwqtgT CCFHjv4ae4qn10KnhgHf+v6CzIo9lprM/GneBEdtnb9TxPXubiMu4lII9xkH7ULB2PTAfP7z 9Lg7YLwa5rN/ed6+buE/2+e7k5OT/w6OJrrQR33PSa0ZZ8wXSl73F/fYeVEfOK8JmkeTpq7E 2hMyaYmUqc3lnp03O1mtNBIwHbkqAvf6rz2qVSk8de00Ak3Nz0E1Ulf1PoWNeaMvXGPygk9W QaSvwmGoaiVGdvBA8P1EJ3XR/4MqTC0XGEyFlyL4T6M6AMvS1DmGloDqtZNkYvZLLSU8LOin Fp3fb59vP6DMvEMXIaOEocNxSt69AS+nxBjdB02cOpCDdouCDizdoArQCYjvPI1kr8VJPFNy vxopWL+8SoJ0fANURTXPaQCAytbMTxyI8SYFEZJ3kxEqrpiysMMTKdb4RgfxqtUNFaMV2ho9 ETwoNFiHiR8qutDyaFNJ64SZesSszrXSSjNSjq7XQ+cqKBY8TmeazAg6CWxWSbVAM97VKVtw Rlf3AQH9xQ4K3vbEs0OYoF9ZJr6uidn+UPcyAPEXHi498+9jGWRFKjipbag09OZCUhKvW4nY tXijqsUZ0ejtcc/TaMsbk5hu/Zebm1DyWxuorCmquM4K/RvPnaaWqPhnFup8leRgGrU2F60q awr3iJbfEoegIa5KXjtBoZYNcaZXBwLFLkrrWFx+3N/e/fj9Oy7Ob/Df48NJ+XEYR+9L7NEJ 8/eXw10bFD/5YUR0sHJCmcwXPJe3d8F0N1Tbp2dk/KjKRA//bo+399bLdcs69yXut/wQLXHY wST/qq1C3rWir11zOC6xLSN5bTjXtLoLWi006zPR2NfnEJ8LuMDRwHunyN3wULg1etNl7HkX RGuCGLoqnQurNooXGnbCkUTvBH8NMTNnAo5u3FKmEsuberGIlEGlbqY7A3kAXNYP7/yaHnXB nPhCrPE4TqyMdoLpDHvPG20tXhl5Evp1YBUwKs/TKYRA/iQ+dZ3g2kE3CQcaTvnsF8Koa/f5 GhO6Jq+9H47vN8yAZfoxFMaTKnTrTCy4L5ODoEnMpwtoOl5OEPl15tdd9eQxlcJ750KvYDG1 /BgFXqDnEMQDzxiAqeIuNCHI70UWKF67p95micpAtZxYKP1SwsR8/I7HliDpioj3Do0mykxO UAQIwSgAwpz8CGr6HrbadeJFAJhXm59k6qN7EtrR/D+A5dYCI8UBAA== --tThc/1wpZn/ma/RB-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-7.3 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS, MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED, USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 49B99C3F2D2 for ; Fri, 6 Mar 2020 00:33:53 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id E643F20801 for ; Fri, 6 Mar 2020 00:33:52 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726178AbgCFAdw (ORCPT ); Thu, 5 Mar 2020 19:33:52 -0500 Received: from mga09.intel.com ([134.134.136.24]:31381 "EHLO mga09.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726162AbgCFAdw (ORCPT ); Thu, 5 Mar 2020 19:33:52 -0500 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga006.fm.intel.com ([10.253.24.20]) by orsmga102.jf.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 05 Mar 2020 16:33:50 -0800 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.70,520,1574150400"; d="gz'50?scan'50,208,50";a="441759822" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by fmsmga006.fm.intel.com with ESMTP; 05 Mar 2020 16:33:38 -0800 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1jA0vq-0005vT-9R; Fri, 06 Mar 2020 08:33:38 +0800 Date: Fri, 6 Mar 2020 08:32:54 +0800 From: kbuild test robot To: Thomas Zimmermann Cc: kbuild-all@lists.01.org, airlied@linux.ie, daniel@ffwll.ch, sam@ravnborg.org, abrodkin@synopsys.com, bbrezillon@kernel.org, nicolas.ferre@microchip.com, alexandre.belloni@bootlin.com, ludovic.desroches@microchip.com, maarten.lankhorst@linux.intel.com, mripard@kernel.org, jingoohan1@gmail.com, inki.dae@samsung.com, jy0922.shim@samsung.com, sw0312.kim@samsung.com, kyungmin.park@samsung.com, kgene@kernel.org, krzk@kernel.org, stefan@agner.ch, alison.wang@nxp.com, patrik.r.jakobsson@gmail.com, xinliang.liu@linaro.org, zourongrong@gmail.com, john.stultz@linaro.org, kong.kongxinwei@hisilicon.com, puck.chen@hisilicon.com, linux@armlinux.org.uk, p.zabel@pengutronix.de, shawnguo@kernel.org, s.hauer@pengutronix.de, kernel@pengutronix.de, festevam@gmail.com, linux-imx@nxp.com, paul@crapouillou.net, ck.hu@mediatek.com, matthias.bgg@gmail.com, laurent.pinchart@ideasonboard.com, kieran.bingham+renesas@ideasonboard.com, hjc@rock-chips.com, heiko@sntech.de, wens@csie.org, jernej.skrabec@siol.net, thierry.reding@gmail.com, jonathanh@nvidia.com, jsarha@ti.com, tomi.valkeinen@ti.com, eric@anholt.net, kraxel@redhat.com, rodrigosiqueiramelo@gmail.com, hamohammed.sa@gmail.com, sebastian.reichel@collabora.com, linux-samsung-soc@vger.kernel.org, dri-devel@lists.freedesktop.org, virtualization@lists.linux-foundation.org, linux-rockchip@lists.infradead.org, linux-mediatek@lists.infradead.org, Thomas Zimmermann , linux-tegra@vger.kernel.org Subject: Re: [PATCH 02/22] drm/atmel-hlcdc: Use simple encoder Message-ID: <202003060857.sLuBNk9D%lkp@intel.com> References: <20200305155950.2705-3-tzimmermann@suse.de> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="tThc/1wpZn/ma/RB" Content-Disposition: inline In-Reply-To: <20200305155950.2705-3-tzimmermann@suse.de> User-Agent: Mutt/1.10.1 (2018-07-13) Sender: linux-samsung-soc-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-samsung-soc@vger.kernel.org --tThc/1wpZn/ma/RB Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Thomas, I love your patch! Yet something to improve: [auto build test ERROR on next-20200305] [also build test ERROR on v5.6-rc4] [cannot apply to rockchip/for-next shawnguo/for-next sunxi/sunxi/for-next tegra/for-next linus/master v5.6-rc4 v5.6-rc3 v5.6-rc2] [if your patch is applied to the wrong git tree, please drop us a note to help 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/37406982] url: https://github.com/0day-ci/linux/commits/Thomas-Zimmermann/drm-Convert-drivers-to-drm_simple_encoder_init/20200306-045931 base: 47466dcf84ee66a973ea7d2fca7e582fe9328932 config: arm-at91_dt_defconfig (attached as .config) compiler: arm-linux-gnueabi-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=7.5.0 make.cross ARCH=arm If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c: In function 'atmel_hlcdc_attach_endpoint': >> drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c:98:8: error: implicit declaration of function 'drm_simple_encoder_init'; did you mean 'drm_encoder_init'? [-Werror=implicit-function-declaration] ret = drm_simple_encoder_init(dev, &output->encoder, ^~~~~~~~~~~~~~~~~~~~~~~ drm_encoder_init cc1: some warnings being treated as errors vim +98 drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c 65 66 static int atmel_hlcdc_attach_endpoint(struct drm_device *dev, int endpoint) 67 { 68 struct atmel_hlcdc_rgb_output *output; 69 struct device_node *ep; 70 struct drm_panel *panel; 71 struct drm_bridge *bridge; 72 int ret; 73 74 ep = of_graph_get_endpoint_by_regs(dev->dev->of_node, 0, endpoint); 75 if (!ep) 76 return -ENODEV; 77 78 ret = drm_of_find_panel_or_bridge(dev->dev->of_node, 0, endpoint, 79 &panel, &bridge); 80 if (ret) { 81 of_node_put(ep); 82 return ret; 83 } 84 85 output = devm_kzalloc(dev->dev, sizeof(*output), GFP_KERNEL); 86 if (!output) { 87 of_node_put(ep); 88 return -ENOMEM; 89 } 90 91 output->bus_fmt = atmel_hlcdc_of_bus_fmt(ep); 92 of_node_put(ep); 93 if (output->bus_fmt < 0) { 94 dev_err(dev->dev, "endpoint %d: invalid bus width\n", endpoint); 95 return -EINVAL; 96 } 97 > 98 ret = drm_simple_encoder_init(dev, &output->encoder, 99 DRM_MODE_ENCODER_NONE); 100 if (ret) 101 return ret; 102 103 output->encoder.possible_crtcs = 0x1; 104 105 if (panel) { 106 bridge = drm_panel_bridge_add_typed(panel, 107 DRM_MODE_CONNECTOR_Unknown); 108 if (IS_ERR(bridge)) 109 return PTR_ERR(bridge); 110 } 111 112 if (bridge) { 113 ret = drm_bridge_attach(&output->encoder, bridge, NULL, 0); 114 if (!ret) 115 return 0; 116 117 if (panel) 118 drm_panel_bridge_remove(bridge); 119 } 120 121 drm_encoder_cleanup(&output->encoder); 122 123 return ret; 124 } 125 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --tThc/1wpZn/ma/RB Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICCGPYV4AAy5jb25maWcAlDzbkts2su/7FSrnZbd2Hc9oLrbPqXkASVBCRBIwAOoyLyx5 hnZUmZFmNZok/vvTDd4AElRyXEkl6m7cGo2+0z/946cJeTsdnren3cP26enH5Hu5L4/bU/k4 +bZ7Kv93EvFJxvWERkz/DMTJbv/254ft8Xly8/Ptzxfvjw/Xk0V53JdPk/Cw/7b7/gaDd4f9 P376B/zzEwCfX2Ce4/9MYMz7Jxz9/vv+rdx+3b3//vAw+ecsDP81+fjzzc8XQB/yLGazIgwL pgrA3P1oQPCjWFKpGM/uPl7cXFy0tAnJZi3qwppiTlRBVFrMuObdRBaCZQnL6AC1IjIrUrIJ aJFnLGOakYTd08ghjJgiQUL/BjGTX4oVl4sOEuQsiTRLaaHNHIpLDVjDr5lh/9PktTy9vXQc CSRf0KzgWaFSYc0NCxY0WxZEzoqEpUzfXU2R6/U+eSoYLKCp0pPd62R/OOHEzeiEhyRpOPfu XTfORhQk19wz2ByiUCTROLQGzsmSFgsqM5oUs3tm7dTGJPcp8WPW92Mj+BjiukO4C7ensVa1 z9HHr+/PYWEH59HXHh5FNCZ5oos5VzojKb1798/9YV/+y2K1WhHhGak2asmEJf81AP8b6sQ+ nuCKrYv0S05z6t3iiuhwXgzwjYxIrlSR0pTLTUG0JuHcnj1XNGGBd16Sg07wzGjuh0hY01Dg jkmSNAIOz2Hy+vb19cfrqXzuBHxGMypZaF6LkDywnqWNUnO+GscUCV3SxJYUGQFOAZcLSRXN Iv/YcG6LKkIinhKW2TNlETykCowULnnMZUijQs8lJRHLZta9CSIVrUe0rLMXj2iQz2Llsrjc P04O33rM8m09Bfli9fbk8HQhPOUFMCXTqrkAvXsuj6++O5jfFwJG8YiF9mYzjhgGC3jFwKC9 mDmbzZHvBeo66T/hYDfNZoSkNBUapjcquhP3Gr7kSZ5pIjfepWsqG1eZI5F/0NvX3yYnWHey hT28nran18n24eHwtj/t9t87dmgWLgoYUJAw5LBWda/tEksmdQ+NbPduB2/KKPyO1ksXqAil P6TwJIFUe4k0UQuliVb+kyvmZfTfOLnhkAzziRrKBmx5UwDO5gD8LOgaRManBVRFbA9Xzfh6 S+5SFrcW1f/4WbmYwxvriVNrt9AuxaALWKzvLq87WWKZXoCximmf5qr/YlQ4h5ds3k3zYtTD r+XjGzgxk2/l9vR2LF8NuD6FB2tZ4JnkufDfFFoEUA9w2V407CNcCA47xzekufQ/v2q/aKTN Un6ajYoVKBp4FSHRNPISSZqQjc/QJwsYujS+hoxc30OSFCZWPAf1Z7kBMupZfwAEAJg6ENcN AIBt/Q2e935f29IXcA7vb1xQwEnjAh4deGOon1G1wX9SkoVeM9ijVvA/jvWtrK5t4nIWXd5a Xp2Iux/Vs+h+92iN1gbTKu0DqRnVKbztoraYfrcA+d1a1BocV/q/A1Q+QaV2Lah5Bv3fRZYy 2ze1jBdNYuCwtCYOCBizOHcWzzVd934WwpqSCm7TKzbLSBJHtnKAfdoAY7BsgJqDg9L9JMyS DMaLXDo2l0RLBtus2WQxACYJiJTMtpQLJNmkaggpHB63UMMCfCyaLR3LBALguzrblZLGH4wj z9UahwnDj26TMFsW9i4AnAnHkzDeg4F65oSZaBTZwYgRXHwJResUNMKAQNhisUzhANzxAER4 eXE9sKV12CfK47fD8Xm7fygn9PdyDzaFgGYM0aqAaa/MrrVGtbDXRv3NGZstL9NqssLYVEfU MfIhGsImS9xVQgLnvSW537FVCQ98jw/Gw+3IGW0ce3c2wMbgdiRMgcaGB8lT/+zzPI7BlxQE JjKsJqDc/Y9d07SIiCYY37KYASWGao43xGOWDNyJmp9uMNlJmv2UZGqkTqHBcVxeWL5QuRAQ nMJTEMBr0FrNBhxxAocFHSFrKEQRCzAOIW1m6HBoWMESDREVPXhKcUJmaoiPQaNRIpMN/C4c ddCY7vmKgsephwh4kiyQYPng4sDI2aeHR9ceMjeBh3KZI0z0JObADfT4hpM7GlPMqpDeBCLq blo7EMbDmegfL2XnUaVp3ttImhJRyAxsJURNRQqX8ekcnqzvLm9dAjQrAi4JDZ0tJgZLA0Uu Ly/8sZwhEJ+v1utxfAwWN5Asmvk9EUPDuLianpmDrcX1uTUivjwzu1j7Q3iDlCIcR5qjnzm7 ugqnZzcGkZ+4HOjA9O3ptHt5KicvT9sTKi1APZUPTgZM5KC6juXk2/Z59/TDIXCXqGK5pS+T 4OB1X24q+I0ffF1hvEvdjp+3pvjoVSznjt3NkxLMAaj08/T2DOeJEpSOWkSiP19aigU0DUIk zHlxMYQrkn52oQhZ3140rnz4dHj47fXwdgTT8njc/Q5eu/8+dEqTKgqovFvwaHxRzpBOh0FP P+LGilzbXpYFVwEMXziWKwUFB7De2bsxKu1bdAM2Cgnde3dCa1zFi0I47ljFpFZOnIOJoRYJ E6E+Xl6ee8JkybKQnRGt9ZmHCi4pncm+SXRpEhGCkjmzhTT1B0IVcvnx03p9RiLTJThV57bv D9gMMgM9EbHFGQIl2EgoV+kZCRb25pwiWmfkzAYkJcmS0ZU/OQC2oYD3Rs4wV+XZ+szl5Vfn 1CgmjcFHGEkVGZJV+unm4magScXx8FC+vh6OPTNpMizmvVtqrwXe9oB6nqfwoIhAK+yirqa/ X+sB6KY3aSA1OJV9whp8o39x4cIgEjoj4cbFhKD7wJe+XmkvnC37cC42SB70zpMEBsp61OLy ZghxXQqEoj9f5Szb9F/H57hLZlj+juGg/epxHlZtuy56+MNtIIv+X2QryTTVc8nz2XyUtiIF GnB7wDtjmUcJZ2A/igWGV8WcJsIJBEbAeNLksp69SgXdWCkdy18zTAveMEX58nI4nuzUjw22 Q6IhZ5epEgnTxZWbQmyhmHzw8qAhmfqTHA36cubhi4kweBwrqu8u/gwvqj+Oec1kMRMQTbfQ +T062hAyXk4/dTD7F6HEiGO7Bw6/64DrbDVAxFmxBE88sgdjjhiceV9GBm5frZqUuyDZneve rAhEfpXNS4p5PqPwVtwLTnmUY6CV2HGuSdWj81zc84xyGVF5d3nZDkvYLEsxpoRwxEpg5SQ0 SdkV03MMPkKxcYI/GiID/DqXSIKRw1nk+eywGx7HXZoRRfMAZIcXdGAsecOHz2PbnENM5eYN mmSg2UMKMZvMQ98F3ptEm+SgGugaBeliiAmUshHIfCIEzSKYPtK9a8G9ILSWmbPIIkwjLNJC ZI3LwHoJx+yv65aMD4Mdwy580lUR3L17AL4dnsq70+mHuvjP5eXNFO3bfnc6PsKRphg1wJ// TG8ub28+Ta8nR+D33YfH8vcPx+3zxeT4x7velOe2Or6tAYmRU8/GF3RNw97FmhDcWUcSBY5Y nvpqi5grLu4xgxVFzu5o7C8dOCLWxjTi8Ad4z+l2v/1ePpf7kx3vxMfyv2/l/gGinYftU1VV cdR6LN2ElV2m8IxuJ2aPT2V/rmFlypqrGmBDBvs288VPhy0WQSYvh93+NCmf356cPgZymjyV 21fgw77ssJPnNwB9Lesgony097aMhXdbo0tV9tls77nd3vBtq1wJp5RZA0z26b6XU65RasGE SSf6zAQ8/oRSp2YOMBQTA/crrhQU8IKawMc7Z282k6f0O4V2asm/vSqe6QraXwrBV2DWaRyz kKG2rhNyI2ZEpD3b0bBFcKWY4ymiMjGWp8/kKj/LAiozs1N7bHu1o5dXydju+PzH9lhOIhN5 OqnRmMl0RSRF45ISP8/jVRHGdRHASzDjfAYGr5lr4GPr8vtxO/nWbKMKgG2HZoSgldz+AVwl HMqN0P42CbRxOXbGDG7Z6XrZHh9+3Z3gJYF9e/9YvsC63idQ6Tc3M24UYw9mnA9eJUmdXP2i SvV59/oLqM0iIQH1VWCqGAisK/a/gKUG07cigz6XfiKxgkqqvQjw/bzwbJgywNVNonTOeT/G j1KC9TDNZjnPrbnayiYcC3Vl3aYwJDBILNaAP6Nz0Zd9otAoaRZvmorfkGAB+qJfKGyRMGvd aOI9ltlV7YcUqzkEB5hK781zNQ3A3QWnttC9SSQFQ0hQ12H2uagdNiL6PKwrKDZomC8xlQqc 0Qc3IUW1CppY32E6GfJ5rdjIU/WFNN1XnilqnxJec6LtgpWhMKuD0Ggaam4h6xY2F930UDQ2 YWRsbxBcBLerahWnQL7AeTEyuGAD9EhPRI/K0w3RowDPvWaCoCEWPqwannHqlXmDWJ+UAxYj AwzG1GCcOm7HXSeX3iOgaxCx/iPxjPo0vNmm40tzEfFVVg1IyIbnfXE1AX8t89ouUoYJ3FYR AH9Bh0cWgmO/HZvVlulqgCChW5ypXeHqxSC/3dxAxi37CUFi76hYDecZhFZ1h5tcrX1PWoPi 0C5N53z0kefKnjVxHbP5Z+qQ52YytRpwcSPTXmA3NS7seqEaWqGQL99/3b6Wj5PfqlDr5Xj4 tuv7r0hWH+rcNgxZbXrqUnJXmDuzUuv3JPkM7Av2Dobh3bvv//6322aJHbEVja3rHaC15QZc hJvQSEaCUu5vnrKowStDhsG/EuT1r6jxxQ3jyEE58i+sfHMWUCUpNhPYdtEU3xVWqLuURa0R 7PPWglLF+hiGeS6qpskzxI8OrtDegwNdrb79fkQ9j5Jh20o70hnQUI50stRovDUJNu0cDdaT V0XKwDXNrA6jgqWmxOnvS8hAl4IG2aQBT/wk8PzShm6BXRDePqGqZar9uShUqBgo6C85VU6t vGkpCtRIG1yHH2s+7bqSsFwwJskNFaZ6/JeIFE3IbUyyPzOOZKvAF19US2ATRqz6Z0R2cUGS gaYR2+NpZwJIzDG6PRIEXCwTYJBoic1KXtlVEVcdacd1COEdcBeZ9Fa0t2/Co6o5l3ftbJa7 nX4pGK8azSKwV27XvIVcbAI3/GwQQeyP9t31WhWqMqvuVXXpgycACgZfI2hxt/+2whtDWuHP 4bxjTSZ6bLCNdEe73QNEg7MRFhB6WcnGNiI37KV/lg9vp+3Xp9J8XDExXS4ni9EBy+JUo/fi iFILLeJIMF8MD7g68ulSI/Db+KetU4ITjDdP1quoUDLR97rRntX4OCHaszkEj0+KWPxGYSnw awVhvmNAb9MzEegu3wHxNLWz3UrPGDurynz5fDj+sPI8wygSd+U0kphtZjwyUXiRkn4IhNGN 6c9yBaVKwQttJARcK3X32fxxHLFw0LqD2XlJUXh6Cd/mYTGsg/ZGLZQvV97csHE3U4a6I5J3 1xef2/4QUyOB6MW4fgsnOxMmFPQMVkJGEpL+not7wbnfnN0HuV/Z3quqt8xzgiYGNR0+oDck rdjfqZKo6ZlqYg/PLLEEiwdBVR3Y2I1nJqkz2jU9y0UR0Cycp0QuvKpqXJ46FlvPRi2CKstr /INGAWTl6Y/D8TdM/g2kEURkQbUrIQgpIkZ8Z80zZnnk+AvernOxBtYf3dn0EVu/jmVqQlwv Fg4Jz8DXJ8yc8zNRdZCExDX9AG/sGlb1NPV1vgGRyIQzGfwuonk4BGKifQiVRDrSg9tmgvnz ahVyhuqSprkvtqgoCp1nGU16x0nNMfytfhvwtzlfsJFMUzXtUvvL7YiNub8RocZ1m/IvgHdS EH911eDAPRxHMtEvatlYDzMyj7R28hYKTB/Mzvk1LU2YB3bQ34bVNf7u3cPb193DO3f2NLrp udDtLS1v3Vtb3tbSh1+KxH4WIFHVE65AjotoJAzAU9+eY/LtWS7fetjs7iFlwt+nZbA96bFR ijkPsoIUt04TP0KzCGyusXt6I+iAUdVFn9lf1XVYf804IoiGcPylVLujs9siWf3VeoYMFLXP jKRC2zrC/BxcfwXFGQZfRtoPDD/axCxc3yRYT1BogR+gQrQVb3rqxowW843JvIDhScXYRz9A XOX4/JGHOIOE5x+F4ZjsgD3QfpyMRuI8NtZDqf3NzMl0ZIVhn2iNqDLbqCgU6WtoAPmrBwnJ ik8X08svXnREQxjt318STkcORBJ/l9Z6euOfigh/KCrmfGz5W4jGBRn5JoxSime6uR6Tiurb Hv+RQ/9eokzh10Icv9713wvcJDGxpRfNBfjnasV06NdnS4XfE444UbBliJgW4yYgFSN2Cg+b Kf+SczXuiVQ7hQh/lCK5Aj9eoaI/R5WFyqdFESXXRZCrTeF+xBJ8cSwffvrxCxt+blj7e5NT +XrqZRGN+ljowReDtbs5GNlD2C6kxSuSShIxfw0uHBHEwC+7JIazj/ZUx8Ui9EUiKyYpGAEr ZddA0B22oFhFcIt1BlR3MtggJezeuniGj+bSUR2JARllnoIV85++HohyQBOOoRB+uw9KeeTz u4Y+pFjzqr+9gMg19wXPLTVmu+DA5isndHHpLAqGuzfViyYvjiToUysPXeP4CCe3ZKEH3w4P ti8jYn1MMZwDeeyZIGFBxehnSwXWsGE1v3ngJGxupwcxKQQZehAyxIhVaaeQY2Pb4PbvUN29 e97tX0/H8qn49WT5hy0pGGO/nmkpEjpiHVsK7yfbnoVUE66OmX53RhiS5We4ivEr8nFu2tfM F4oX3VwrBlC/tY8XbCTzjFros9+Ch4T5HeOQinkxlpfNYr/CEIpgzWE8DIr9OJ872Ng6pasG Tqv8ITlsr/rmr50iJizhS2+gSfVcc540lqtfB6zVehO9R+Xvuwe7e8MmFqHTFClGGuBFGBIZ DQyFKY3sHuq5J7xNDnTBfFW6qjpZvSmgpU6FXcZrIEWK5S63nEayiGCd0b9HWa3V9qSYv+tj sOe2G+TpsH00fSQNw1dF2/rWMHoNz6Cd0PnLRlrqwmrV9e6ro/SVQjqiRiiGfSv1TtuknqmW YIHASS+2/MM3GUk25kvVBHQpR6KeigDNUj0NKPt07AMnQ0bMJ581sWkKOZMrM4X2XPPe35eB X3QEdgMIWBgnl1n9Ltg0HMCU3S5Rw9LU/twWu0zUHC4xws/oYzffj8iYZmGl9fxdeSOi3vZZ P5pX5sh+IMNU6aCYMRUURPo1T8rXesQNVwx1D3aSBbn/ppZ0bQTK+0G51e3dbM7ShhzUUzj2 ucos8wppqt2Ko47M9Q9L0l3Z5mV7fO31jOEwIj+ags/IKnZty+5zQBSPW6g7ZayGUzoUcPmm 9ddDNSg3Nfs2G89fsfXygPWe6ptefdzuX+teymT7w606wUpBsoD31dt4k37vFIMesW5jCDaK kXE0Op1SceS3biodHWQ4zUf+CghEtuU6eFFVqDKQAknSD5KnH+Kn7euvk4dfdy91a95AHMJ+ C6+F+4VCoDymU5AAH3tAIIBbsUjPi0uX6z3s9Cz22sXCtgp26YFN+8IHRx0Xu5Evqo3QBgpM llcWz3CvqhRtX14wnKqBWEaqqLYP+KXMgMVV8wSeWIxGD+ZiE6IHx2mqCX+xZvXZcPn07f3D YX/a7vbl4wTmrPWPdfvWeviheJyAe9jnaYuoa5nmY3J/wdwl5yPJHXPh4VxMrxbTG39uEkmU 0tOb8VehknOXLebnsPDvObTREFNkWP8pRbvX397z/fsQmT1w6Fw+/B9l19PcOI7r7+9T5LS1 W7XzxpItWz68gyzJNif6F4m2lVxcme7sTtemJ13dmdrZb78AKcmkBFB5h56JiR8piqRAAATA Mj4sydmbnxhzXgp0Shyfziq2UKRIY75GVS2NYwyCAb0+H6UfYiDAiki7qPq0LqqGq5WdbffR 3Of53z8DF39+fX15vVMd/of+kmAAvr+9vhJDp5pM4O0ycU0o7XIAqThTske46Y+HZ4rKW0Gz 5AGB8U1uRB8x70bFIHmOcsdo9vHlxyfy/fE/IHm4W01Ec18WmICM/04qcR0PhHpgViVJffcX /X//rorzu6/6lJLZHXQF7jm6mWtxplnW/NP+Z9xp07vUKFTWj5WyrYPcZMkfiOgG+vpwihL4 TW+4gMvlPYUxnncy4ya7guslU26XzbHMEuuIvAfs0l2XS9Ff2COE1D1s0TmZs69HHLJTakfI DS0jW2LH//gIis+ONC8l0hDVS8s5BKS4UyEkk+IRqOjUIOs0NRvojtlJ0n25+8UqQF8Cy6IH ZZYfDPy2zn7hd56YOkO5V+n36jOKOGk+6j7q5nTqKe1zizk9eh0bpaWxJasrIup37l+U61lx yjL8wdcCXbM0lCazVLlYKCfS/wunTeswCMTR5tYOltQ73iVNdXFHbQ09Fba/aecwkE/3a0WR lMko9LZmitAEo9WqexknZ7o7mH4GpwiNJc7+jt5HG8DPeXrXGJGzvWQO5VfGVKRoMqoPY22u t4CbbQ4smNIboyTwg/aaVCWfu0HGmbDinZNTnj/iAqc1h7jZLv1mtfDYFpvGisUDXpaVzQlt wvAFCC7dW1QlzTZc+BF3lN9k/naxWDqIPh2YD4JxA2z2KgEUBG7M7uhtNm6I6uh2QZsaj3m8 Xgb0kVvSeOuQJiEfgpEBKaRaEip43wNrzeOvaxcMOTTUYjKk9tok+5SxQ56rqGBEhtgf8xHt tZdWqHn8mK5iTYFp9+kzvBudPlLs6Dp/gAuRR+063ATEmHSA7TJu16apfihv2xUtoXcIUNeu 4fZYpQ09ox0sTb3FYkV+j6Px6SLN/nz+cSfQEv/HV5XB68dvz99BVn5HhR9xd68gO999hi/3 yzf80xxXKa7jY/khQO3/3e50BWeiWV5ZycIECZ85/sIT+QjtqNXUuVf8/g6Ccg6L7C93319e VS5tYvGcYR+ZmKN6v1hHE8bUxEdGskV/jlo2LaaXofVPk2NqZROPQDst5tbbflDQkTsvLdWh jgSK75J0JsUKxqeK1RMz26MqUYnD9oNznOpB9+i79/98e7n7K0zjv/5+9/787eXvd3HyEyyz vxnOst2+01jdio+1LqVNgUMlWg4eajM5JXsyczyuXgv+RgM7Yz9TkKw8HLgzIQVoYjykHwfs 3oZJ9svd2u90VRCNJ9NiQ/bxHEKo/86AGsyjPg+B/bVhMtZoTF1RzfS69uh1JyN5UbnW+OaT I9/uaL1bQg/9ZdEykpZWlJJPfAwgHMOiwZ3f0EaE8X0UqZwYCHZlkXBLRIkoJAUP2w+n0QnT jWE8qBhch2unTDmrShSjFw4tfVQs6dxyFDzEYE5CdlGdnhJaej5wJqkobpgtH94LP8mSOX2U J7qDUH49q5lRGdKZ2mdOKi6ynAh0Tr7AzvXl1z+QoTf//vL+6be7yIiGshT3bqF+tIpxpomO BdJeXue0SEDzjrIoRhugneS9285kw6zeoXYePZnRJiYJllYhRUQTzYN/s/xUl7XlBaZLQPUJ QybNlFF9V5dREpeUG4qB6swJltfAzv6lDBLHi/LSIzsaR2dxymmSqOuT7Z3RhNs/FzOdUl7/ 1qsfUtAqxTB9lBUgBwVgYZ+3YUkXqtafch21sxLNOeiWjZ6lT102/BvXUCXXosKck0UE/dQh gcxhm9HWPqqjhNTsDZBOWkCO7VE0IM/HdgTEUbTBMfGvh5EHqAHALS7lydVixSqzRyaYD8rR PZH2iEDieDyItzlFl9SyCxlEjGPjXTQ6UB7VsNVRvhAmCBBRUVrxs3nWNpfJ9mSS93TCOLNd EdekH8YIU07WTxH74S9MCkggtv4KqDMfjGq5SXNu/IpIItXdCPxZl0WZ06utsNsW1/aQfmjF w1oiY1qMtivQKjAcnXww7sqY9tF8/EMcbfDT5tSUhxiVMm6N1/nsaqzhdUAsIztUo5NnTZKa KG9O9klE0x52KftBmXVTMku1iSizqN7Dv5SZ5iYno8OsJmI8S20l14JUS2mmkceirJpHO2PW Jb622ZjrTOuehcXW4ee1PgrG1Qap6I4YjyJYp81exFNhhwfpkusl4BLbDoDl3NelzSaEISVq xWSVDaKwKK9arjV2Uyzc2fuhLosxgFhwC1ZjhNxFnKdc1/A1P7WOIx0ThX4rIA1/ANgFMLSM YKzAM7uKwsDiRGdGQUkksC3bLmaqwBBEmguUmOOW4Y0ytTgc0BXoaC0PbfUU4g7LJ2fCty9z nIGql7ISzKh3pFWIKE94Wifl8YA2DDfb9Y4FwDrYtG3roocbF72T+ZwNrMLQYwGxAImQf4NO MhvTeyYAgmD3dIs3VOEy9H22UaTLOPT4XqkWVqGbvt7M0LdMt1VKx3GnRVxlp4ZtUUkk1/YS PbKQrEF51Vt4Xsxj0KmboXXyzCzdWxyYF9NCyfjNBjGEb3lASH5OBpmDRehUYBH/BpEMF0t+ NT84W8dUvjK9d9DVFs7TYRt3jgLupjxRpt6ipRkIqouwfYiYf/gZtMymSVl6t8EcgIv5Nf6X nQKY33tQqbYBE4hcVcytN5mgjmkx47YKNlJOltZOpZJxR5Lm8Ei8BwmekXOQXKWHqGE8DJFe yyz0mBOYG50+IkE6yPWYupqlwz9ORkWyqI6j3veCQhYVtmTRhWxcEsq4i/BBhU9yWKJGxIZJ k7aVQR5daQDlccukzUbK9chMSxzV2dZjzqyg6vqeVquiOgh8+jQNankLui+XuFiuWypE2H7x kVNLJDfrOFhM7PFE3X6Ds2yBK7qjUO44O1Jes5y8gsQ9LdiZvYlFE5f07Kr9gSfVoLpbanuJ pyX0BxysurT3M73p9oPbQzPMxyhBi7GDVFQZM9YDuUEXha/T4kqQrfErd4CwoSUDQoIigE7w NK+7iL1I59ZWniYi0p/crSYsr4VHR4oj7c+Fg+ZTISfmE+uoE1xvG4v0W1KlsKrp3cuuB/wt 3BAVgYJfspnuTIG3fny6TRIU4RhNCnCqzUnri7kwpb7pbtWNqgKHbenxquUlDOdeu7HMCPDz uvXmJtXOkRBfPH92eKX1mEvm+YFHsywgMXsGkLjt5JIxhxlmH54ek2iygT4l0Hu6K0jyvPoy 06xSMtLCNo/eAskunFNdv7PXGNCuWmQkkxqUYmF7SuuT/t9VMpnLF4yk+us00vJvd+9vgH65 e/+tRxFa14V5rj4G4jqvMjoQkUo3ebxJyOT3Z2urgJ/XauTX1J1Kf/vjnT3gFUVlZihUP1Ug nKUwqNL9Hn24Mjr6RkPQ/Dzyu9IEfRvqPZfgVoPyCLTedgwa4gde8e7KL3gT2D+eR/4+Xf0S 85TZ0b4W4JfyUffOKk3PZJfT84iHGKPJBYTpmvfp466Maut0ui8DuYnelw1AFQQ2t+FA2xmQ vGc8zQbIAyhxAcVxLMRmQb7Kg/Q9xro7YJIuMLxeh7QrzIDM7u9Jv7cBoO4roPqBBLX0mJj5 ASjjaL3yaK8YExSuvJnx10t15oXycMkImhZmOYMBbrNZBjNznce09nEDVDXwYDemSC+ypHnY gMFEAbhDzDyuMxfPgGR5iS4RLcXeUKdidh3jJV20K9ZtXnP/KstTfBxlMZoi2/nvJo4qz2N2 0AG0i2mOb3ArBx2YFaafodURDVF5Vyhzf0fGt21AjzYT8RqF6IeDt5UK0z/BpEdJswlXVgoV m7wJNxuyfxMYvXxtGM0YLUztgSgw9s6igMohM7cPA0jAVS4/8AonYDCijQW9Q5vQ3cn3Fh79 SU9w/vywoB0H8wKLuAiXDFuy8I9hLPMDd9+fDZWyqfjTwSl29TFw8lhEVU1b6k3cMcqr5sjd imUi05TJlWWBDlHGRMJPYeiUKyLaRGCh23i5YM5ZTNz+9IuQDa0+mLhDWSbMzmENjUi4GxhM mMgELKP55pp187hZ0+zf6t2pePrAbNzLve/5899NyoniNmh+pVwiNL5fwgWjYEyxnAeniYSd 1fPCDzQJu2vwkUWQ543n0fuQBUuzPZoNBLNnWVj1Y34h5O36lF1lM//Wokhb5hjNevD9xqMt ktYWkhYqy8D8LCegQcigXdDilwlVf9cY/fEx6EXML7IPcu9LItUp1EdWjzIalzleuc0kN5v0 VIDEPL81wCQq7jQ/R4D0J97ZLI4WwKe4+e8ar4tjEomZTEdkKZM7z4Y1HxrvRnr+cn5FNjLf f6Rzp3ofxSnvD26B23DNpOuyhq9q1sFiM8+On1K59hndwMJNLoOip6M85p1AMd+meGgCRnLt BFPBMJE6F1MBQGnFx+fvn1WeDfFzeTf1TmbX8iHK03HoxeD/SDV685MnjBr6mb89f3/+9P7y 3YgL6kdBGvmkrHsYtZco5q4oGn0fUWMiewBVNlyh1FGOFxJ9K8Z8x4l18wWma92G10qamaC0 fZ8tHKK9rFGOMrzyQ2d5YVyBYY9vaLWku7cb9HW6IgbOSdJbJVN5JDEjSZdSvytP0vMo6g9K 7ke3/nUR79+/PL+Srgz6tULfNlPoILO3339ShB+6ugogICIuujaGS8TxziI8gMWjCeJ1Onh/ mEOUTqfYolaJFZtk0WAEIyZZiYa5NOcOAnLLkvP9sSD0Z95BTlEts9HWZSPsNG1GofH+k+6L vWDcu3tEHBfM8fKA8Nai2TBcqgOBdr3mbi3vR1y7N/8iI3SNd456B52DiX27bhmbVwfpzrer ZraxqGaSimjyvsmuWTXXiEKJYp+l7Rw0Rvc4dVmNOIgYvlVaHuonAZMSxSRnHn2towWSx7LO Jta6jqhud2BOyuHTuFa1KCTNgI7nGJOe0jtXlQtQJ4skI3NkAffVlwJZB5N9ocrUClsUfR3p DTY53cXECo40UTKGfxXNbGGVZI9cFNh0DzOfqbtcn2CCbpdNTngjSlRTa7+Z+Ql+XJWhClZP aRcPF3TeBhhLjwBmkmkinU6hjRSd20vtEPaDouxQ7m6J1rDTw7Zv3717eyl9R++vmJSpS6Ly 169vP95f/3P38vXXl8+fXz7f/dyhfoINArOr/M0agv5+davz+qL0TF8DBZ0V6PrL2AfUYKAT IeuPiIgkxVyQKo+aM9EEYtM8PfvM4I2/pL7sqrMjiuIXPg0VYkveXIvkKo7m+1ffLxmREYiN yCUTgoNkzRAnCzT9Exb478BGAPNzk+NsP39+/qZW/VQMUAMqSjwsPDG6gupnuSvl/vT0dAWt jEnvDTAZlc01Hee7MAGieBz7EajulO+/QQdvXTaWoRm7wy7k0cjJE53TTBFxMTpWF6aYY81x Nwh+YjMQNhrV4CFGvSVlfdUJ5G7svuJP4VUOD5XwyhAusCwd7qNBpSx//oGLIR6yzVD5elTQ o9q7mQdNmLYu3GIq1ohMHjHU6pOMTGq3OtgyLQ6cezeSXV7NRroTln7jHywE5Kgr7vyubCks j0IiSg+uyqX+FFh672nIAkCUC0WzXtB6u0I4BEZcFFyeHyS26MfBUyeMxyI/PRYPeXU9PIwG 4LYA/3h9//Lt9eVPWHqUVoG9O00ZG1atvr+9v316e+0W8WTJwj9uJ0Uy5hDBiwD5NPWIklm6 9ltGGMWHsAykqXJ6zo9kOuzKzkIMPx1eUYWsEDEZFiz79PpFx+5PRxMbjTN1J+G9ksfIxg2U UjrnQOPFP/Tkn+pKuve37xMZo5IV9PPt07+m4hNm/feCMMSrGlUiQtN5RLv136GTAnsLgOFF 8vz5s8qTCBugetqP/7VGw3oS5moI/Yo5KJ5ix+eOfW7GyZsNLyYKFNqNGAVRwNK2fuNftiqP W0dXk1o0mjIRtsxymB3aqjaAmLjrnp7Hlb9sFvSxWA/CK/GYKN4B0noBoy0PEJnv3YgyTrOS /lx7CCYJh1VSixOlanRXbuEloSDdg5SvxLzjbRrwtxU70hWo5FQV+tnq/FWB5/eIct8LkKMq on4YB+zpKWU3DNWbySXU5qVbX5+/fQPxW7VACHGqgc2q1SE6/DOmG7pNd+2cCpBcuDsbtOAs 8X8L5ohUQfpUu07JWCNr94Adswu9hhU1K0EVP9N8TAHyXbhuGJOyBlQxOi46ZizKoyDxYQ2W O/p8sp/YmHH+UHTHbqroT+nZOad5ct2PD7LsK7ao1TOofar05c9vwF+pVeXymuoABZNYQE3i BWbaMU3KB4exuN0AvmN4QM3aBowS1QH2YeCaaFmJ2A/Hi9YQ1UdDpD/MfeIYuqME1XO6fPtp mdYdBJyZ6YCP3FvTrL0frqU3co+lRpw+mtWAeLkMQ8eUVKIpmWwvekHXkbca59XqLVzTV9R+ iKASEq/e1SKo407DDn2i1+GFfteqvKDl5Ew5XWoaZtgzDjOMQq3nqIJyv3dA+iZGTzUQPRNp jsmFkbqMKhhkcF8WTNjOCNhI5nodA8ey2DEI/5ScHdQEZzL2t0zIjYn7aHsYUhRJwckZBtLB aKewYfZoOV5j6lRl5WavQMHEeTmHsh6N94Vkj9OVoMsdUn+FkZUIpb+3bjeNkhgvIoLdnVYp VSp8vhk0QGJQLDL7BePN0jV/TRp/w3AHC/KBVuhF0kOy9FBe0zMTqNOBmh1z2Uz3Rhy9r797 8DfcJt9j0Jtls1i537kD0a/U9wZA4ZbJONhjsircMB5APYT9aG/PwRwL7rnO5HLNBDj0kCSV ygKqXm61ZhJT92gYypUX0ENpYvzA/XaI2SxpnwoDE8BIuqc+3y1X9KP6STtEp0OqOdbKPRS1 3K4Cd59OceMtGHvM8ZIznAmT0+QRpeddIryJqzTOs/uSSWqrgVCUl+ixPFHWtwGjT3PUEcc1 LdDTNSEege7ISseG1qxLcXoAra9cnt8//fb57Z931feX9y9fX97+eL87vIHE+fvbOKaja6eq 0+4x10N55hvkU4s35V4O7fFiiRPRHS46MU9C1KhDOkG4qdf51l8sSJyBgp1/2xKzrCWClUm5 rbUuk7OzC3t5SSQoYW5UcnHTMUPmsp0Zkhx9eH0P3bsmMwdC20+/Pv8AxWOYw/j5+2f7Dp5m V8WOcWowBrhsGrEbnYmTkYi7OI9I+G505bKW4NEK+Y8/fv+k7spg7wHYE6nmoSyKZQgsgUlq h4BmufFoptKTfUZKytWODnoXk39W1Y+kH24WXIY8BRmM8UY6kX2XIV6Zt3VU7IR0zOIkpghN Ho/HAYY22C6YHVQBkm2w8fILbZRVbbeVv+BdAxGS41Gsa6xFzNjwcnXRLGy6fA+RHPisud6A uLqoIPQO0ZPX9HwPZPoVOjIX5q7IWcE3ncfeEhOEuN6vx7he8CjWK/jUcUTpPU5iMnF2JpAM zXPWAHyCeGjWjKqP5Ps0d9UOwyrnctzd6PwMKfqaMVbqRQhSUMAEZnSAzWbt+Gg1wDGRGhAy N4AMgC2/UhQgZMLbOwBITs6XCLdMeuWBvp2pv6UNRoou10tX9bTY+94up9dY+tSiwYfJWIms 2kk9C7wQoORc+BAC0ggT2g3EKt6DfsQcFyhAzpoMVeMyWDhq13Egg9BBvw8Zi7yiFoFcM4Es SG/S2JGwDgFitVm3M5g8YGxHinr/GMInwvOicbaxm9i0a4PFdDezK8u84vY6rbCPNycprlG+ XAYtOmBzcVAIzKrl1vHNoE7G2EC7x2S5Y9VEWc6k60XHZm/BKE3a65mLN3K5RKtOKYCDlWgA o0QNAN/jv1V8bxgZx9baIYI1z0+6pzhGFwHheuZNt8w4GQD3/j2AXPskgGCLWTKBLZdstVg6 FjEA1ovVzCrH7AKbpRuT5cvAwUdkvATt2DFgm2y9bplL/1T99TLczAC2SxfgIW8dSy8r42MR HSImOxxKdLV4KovIOWM9xjVhlzxcOWQCIC89t9jTQWYesgwWc61st7TdXvFuFWiQbNjsESYI JFHHLjC05AA1EqU4Bx+fHsn2RxcupWnIBpIeTlkkS+smy6GQTyIyIHR2tXOZyeiQ0o1gzomT 9r1tTpxXww2ON6E2Ffrhf7ACSIMHjuncUKgFhgxzM1BJsGQkImNUoq3P8LARiJ43Y/SiIlgG jC5yg7FWxBtENNl2yYjMFmrtbzxaPbvBcI/dzPVdgWj5wQSFG0ZPsEGzY5BpVvkB1HpDs7Mb CtWDgGF6Fipcr+aeqFCMO7yN4o5aDFRcebDRz8KqgEvhYILCkMmYYIIeNltGCzJQoAfMLuVq f3pKuYgMA3YOw8XscCkUc3QxQjFSkYG60J4LN8R/ObuW5sZxJH3fX6HTRk/EbIxESqQ0G32A SFBCm68iSEmuC8PtUnU71mVV2FWz0/9+kQAfIIkEFXuoss38CIB4JBKJfPD4AHFk5wriQmJe enNrR6C2znpuygvpZLPyEFe+Acxz3NnuUvIh4vg2hiGC6Ai2uqttm/kvPY1to3rM9JDTbmwQ 50teuKl0Z70S8Nv1y8vT4vn2bojjo94KSCLT03Qv99ulpJOUxJkQ8E4txLy1Siw4iZRi57oL XBAIgzuP42FxByoQR8A7UFlaFhD1xeTxcWIhzepBtB/16LSOHdOzxjeiq0NRSHiyXHoqjJIC EpbKkGnpgZqu6mUV0TnNQtqNqRxOU8ZG+XngXmzohL68zjbJFNFSNc1mKNV8IM8pNYXdachS n8qGoc2g7oQmDlwqN1WbaxA4LQf69BamyeUGmVST4B8Ql691ARj0R/CoUnS3WeSx1u6ryBn5 rPXPDeMun4uPyHJuokBOc5hj7DAcsae355fX16c+/+Xilx8/38TPv4sWvX3c4JcX51n89f3l 74uv77e3H0Iq/fjbdIh5tQ+Lk3SL4TSmwfRyAmR1+vZ8+yKL/3Jtf2sqktamN+mS8Of19ftV 5RL+aE1Zyc8vLzftre/vN0gy3L747eXfo55Wg16eSBUiQleDCIm/Rphkh9htkbvoBkEhGNPG fBbRIMgOrRAJz13s4NQsAe66iDaqBWzctVkA6wGx65j3vqah8cl1loQFjms+bCpYFZKVi9y9 K4Q4f/m+rTEAcM2STcPLcsfnSW7emRSEZ+ljvS+jegRTSX9D3s2Y6dTghHgjMzsJOr18ud4s 7wk+Ko565j1aIfbldmX7LkFHLvY7umejP/AlFrGkmUrx1jv5nmfDiM/3scg6OsLW++Up36wQ yUFDINr3DuFjd/gN4uxskcAQLWCHmXhoAFuPAsDaF6f84jrD5atNFuBATwMGZZxu/gqR2ZrF eXE2Iz6j1XF9s5ZsnQ8SgQSt0yY1EoBYR8yV4SIqXQ2B3KQ0iIft1j7ljnw7CiyqeuTp2/X9 qdlMTHlU1evZyfGsrBwAyHGrBXjYdVIL2Hg7Wz9lJx87S3eAuUb6nnWwoIqZEnb2Kk7c85CM oA2PKXfJCjlNdohyhcTd6RCn5VwZJ3stvFi6yzxwbR9T/LZZp6vJnInFZNGEVvkskmnh+/mj rcCXb0Lo+NcVUnZ2ssl4V8xD0a0uopjRMcMNpBdx/qHqer6JyoR8Ayo/pC7Yv/yNczTIomGx kGLcUISCfJlXIe29XW8/P8ZC1nSZ+a6VpyYbx0fO7Aow0c1q5t3/DzmwM9eeNFyzc56+oeRc oBFdHO+s9SdU1Rc/P37cvr18XBfhab+IWrm37cnydnv9AA8oMU+ur7fvi7fr//bSsV4BVpDE HN6fvv/58vwxPQJLx5loP/X4ZMmlZnl1mt5WNICwGAYpgSNVLsTyi9XlXcKkxwzig9gDhHQf IYnaAfSQ8MZFXoud0jwXH9SRDCWLdiYcQj3mmTjZP9YFjUzHT3gh2kPwBZpUKsLNsCpFhBjE JI6z4NfVcjmsTgFiSqRbG6/5KFrCAAwxCWpxxAmNZ7ZxRwfU5FAMxIM4YYKxFNY5A1p3YGp2 /cVtcioa1KxCGgg5yizktBDOYsyVoYWAGy4ceHZb8w41wY33Qm2VY41X3K5ITNs0lH8M48Bs LgDUhMSsDhnPYyTaquzRTBxLibFlesWqJUG++EWdL4Nb3p4r/wbe2l9f/vj5/gQXL/qivu+F YYNOB8scO4kJgBLp5THNcHIVIlkSBU18KglN3uSSODA8G7xXBKQAa8VjiPjWdqD4FOJNy7AY 2UAsGdSMksGbOwzMN/xA56XJ6xAoOUklz2xzlX5/ffprkYtd73Uy0SRUhlCyuzz02PH3TgAq geW4QxWNQYiiB/Fj5yJ2iFo5KnRSHYc7zA5ea5XA7Zfu5hNyjhoiD+uNb97Ze1xKxRKPxbFr e4wR8UsDZyfI5lCnpbtbIhcaPTqLWUIvtRh9+DWtLiw162emncE96rnJXG9o6O2WLGvx53rj 0AixojG/SMhsNZQ9ZPXaPZ+iFWLv22PF3pvXMV+6/skPz/MtYZDkkV3ENPf97Q7ftBs4aEFI cNl4G/KAsxkFLnNQaS2dbVlS5EJ6Al67SUnJXeB8Gq+3TwKsr0V97ewLFh7ocFNUZXaUwXJm bej8xf795csf0y0kCGWuU5x7NRsIaEVTPOaMFADEkhewEAkLI7ckiGV3ZLkQJcowv4BZ54HW ++1mKQQ1JCspvAebaF6m7hq5GVLdUJCQ1jnfelam0aEs3ELs/+If22IGkwrDdkvkeNrSHRcX IpoMvmrccO4P2STF/4Hniv5dLZGjpoRm/Mj2RJnY+BbxZQQ0K0QMQLNGVe1RdRnla0Qz1CB4 6m3ETEOuodti8nDl8OXKrBeQ27G8zxJLnqQXD9PijoFoJq1WTAONy2bMwEfrcbqYxlstvoxo mZITw/kTKYL8gO/iyYVHZi2zFJmTlVO5yFyFWC5SWLxs3Y2PhGZtMGLj3TmIga2OcRGXJB2z Rga6xSRMsFb3ExLvtwEVNCc5FmqtwQjWj9k2aBDf3eCsK48x3YlkbAxJRtdw36jIkIgtalKH HBf9pim9pnJAAWFN5Pmt/lSx4oG3XD56f/p2Xfz+8+tXCJQ0Dn0qTpFBArk4tP1CPEuzkkWP +iNdCGvPbvIkZ2gWFCr+RSyOC7EdDEoGQpDlj+J1MiGIPjzQfcyGr/BHbi4LCMaygKCX1bd8 D6nRKTukNU1DRkz5c9oaB7d/4mFII1oUNKz1oBniOcTjiSEo9eApeNM2R1A+agFIxtCwkqXT PDKD4fqzjRRmuAwWBdlTbsB3rELpF2H+yok+BN5IeFAh4UwEGTsfwdjtBY+5lOsNcusmII3N G0ZO2mTc6OfI3RClcvGxY8eAhjsbF4Hszf3T8/+8vvzx54/Ffy7goDzJh9RVATJ2EBPOmxzH hk7tpsIA2M+Lnq7Oi+PjYk9vHKOtdeTnxPyyTAV+xrLeaI0I8+0WkZZGKERB3qPixPXcpZkF jlDmCwENlG83iEm51kGY9Z9WzmnjLP3YfGruYfvQWyH+JFonFMElSM0usFqN4y5vpt/MJBuY GIwYR0MC5UHL0YPb28ftVTCFRuRQzGGq9wyrJHmcRiSOCpLQfRUJbnYXsXGjhgisCSkGMQBM 6CJT25B5mRqLb/hqSR7oNNlZq/u1f3QXcTo7aNwZ/qrlsVjw49RMOB3IyjNSgrgqHWctP7hp xUTJ3Dl6ZlWquSHz0R8qkuzwUR4kwwdhQlTkwCnpNxI8TJ80cdlHWcqAmnEO+lwD+2hq7ho0 eA3ys4DDobRZMqlmANTYHtVZHNZEBkHUiy6yoI748OEJnJYg868gRnxcaU9FI/zKtqHWVrJR 9FMFFk0mky/59tQSSj6GJYIWSiDcHkpNypwgkfpkg1Qs7ZW3QS44ZRl5tV5O79KO4X9Jjaiu J+2e6Z91hOgakFczzkAh/Zn+6q11Oim6yJnkx7fra6urXfwCzrUDyyMJl7sSCXa++bbJWMZg boyCYsoyfTcYZbfQyJCoc/QGGLjhhkYtoiIrRPPTIgLCyCcrwouwHEMt4sggGQQK2Qehg9nI tkXkmXkf1uhHO6LMUkM2hBHoRMSEM0l6clyyYLgkxYMu+MqY7wznsQBCiC5Q05vLblyrxzV0 j5uo90aSqBojcY6+xbm1UCAbCoZgRUAlye7gLJXB1AorA/xdlmtLEZfNTAlSAgynq6HvFcwR eYgrOd1uljA0mxViIjZ8gTko586AtT8UmWTFpZbsWPKi4Ji3BYg/ggmv7MNWj6pQt8m3oLEr /Hp7FwL39frx/CQ27CCvuqve4Pbt2+1NgzZpVA2v/HPMm7jcWAR34lh0fA3ECRK6Vi+oEiOA RIHVi0L0ngNMHiJBpXUUvadVYlKIs64VBtfW0PjK7OJkHYhhaTDSR+Y5q+V4SA2VWjZfmFfl Q70vgxPHWZlcOlkEd9IxPdF4OoXK5OX5/XZ9vT7/eL+9gZwlHrnOQrzZmITp57L2e+9/a9qe Jm7K3Nc3MLkrgQYhkQF47nllfmpcyig/ELQJny91GZqu57qRAc1kt/c2ywYU7KakKS1HF1u8 RQ3fwUJSrXzLNtuDvEn2RRyIBpbWgKgZ4wC0Wm3ro/lKYIKbbd7DeoVYRuoQxNNXg6w3s5AN kjRKg3hIQjAdYtkPFGTjIkpPDbKZa24cbDzEjabF7ENnO4spax7gMp3cM7m7iRHz8SHGXpXC 2LtYYcxq7CHG3oMBXzvxzEBIzGZ+hSjcPWXd0SbkWlrHIJ6fOgRR/Awg932YP7/wAXa5zC9V gXNXiJGijkFuIAYQszaqh4CN/0xNF2eJ2aC2mJD4WIa/DmKTBwFAub+amdQC4sx8NOVbFzEr 0CHO/Cg0sLlBPZSJN7OFsDTNIJXIcmatJeSy2y6RSBYDkLvxzbrIAWozw+8lCLn7HGB2iMX4 sE0zK1LVZp9rCRcHk5VXn4OwdcSz4sWxYeUhsSx1jL/dzY63xO3waANj3NzEANzWu688wN1R nrv08DgGY9w95YnOw4M4TIB3lLhZOf++p0CJmytPLBkXCZPQQcqNN7PcAYKEBOnE9kMZo4lu O5AyViDifxaxGfGYsyJq5Ol5OXReiOY8cTBPfx3jLfEAKWPc3CgJ3Hozwx14SbDo3zrEoiJU ECaOtPYjSkm4s5mRHSQGieKmY/yZXV9g0NA8OsZHvE8GGMQkQcMIOdfOp6XbIeIl1mEissPS zXeY3l1vdvR17NyM6rDuCktMOEE6l/X9bZDo+1txVxvC4LJCzJ86JHeJ4/i4flSBlFg3D5o5 FEkvyRkB6JxsN4iFkQ6ZOapIyHxFSCwGDYJF0NQhQwZuALgrk1JWUuzMByAz0iBAZpiPhMz2 1xzLkBA7xwAIElNbg2yX8+uigc0tCKnkxS4mOsAa6f3djKgmIbOfs/Nn59nOt2/xAEH8EVvI Z6m72nk5YvWoi6A+4rHXYUrPRQJvDyAzUnrpYQFiWkhKqu1mhgMBZpL6woSZ+XCFmdllcuKJ UycZldReUA90bqO3lWQUYIEbAaNkoUNB8uMEqC4FWWjwbWKDKwbxZx9avixoeiiPxhoFsCBm xVl1NBp1QdHNjVGXjO/79RnyvcILBmUjvEHWJR0nd9HJQVDJHOQWRDHWc+vUHDMI6qjMLIdK OkcSzkpiBfeqKHlP4wdmNnJQ5DLLayQ7gwSww56mNkRwpAWSDkGRmfjLQs8KTiwfH2QVFsAO yAkJSBzjxedFFrIH+oh3YCBjWeBk0b0lO9Ga75fYKpc4FeQDpYt5fMjSgnF8HlBwl8M7msYE H0gIv5GZvQAU2azRlLTPon9Q6oEme4bwA0mPkORSQDxmcUmRbMjwbultXXxsRbPsi+7hEe/M KpCpqVD6mcQlYjUB5BOjZ56llgIOjwVuQAQABtFrcGqJ034jeyQKN1DLM0uPlqnwQFPIGFda mhYHeJISSUds8hQtzU74bIJet/LShIhhSbLKshASMTaFpfkJeYxiwvE6CqqWG14CC4oMEhrg iCwV25NlYSRVXDL7/EwRI3pFK5j5qhKoWWFbNzlJIZ9FnFnWZU5T0ckp/oE5LUn8iGREkwDI sY74ZEq64EfSYynAuZ40xsOrKMCU1rJIiiwICP4JYuOwdVPj2oXTbfuSjCsVs9RSfEkJzvoE lcZgXYWYPUtMleaxZW8vsCynwH4KSlPCLTsXT0hR/pY9WqsQWxu+lgWD5NTCCsCh54B3QXmE JO8qUzLOp0HAq3OORLMHhBN9pgXeyjOx7XxnxpLMwmsvTKwTlAoVW/vv82MoRD8Lp+GCG2dF fUQSZUsRLs5HFbQmAwbBtUvjZpSzlS3YRNbOmXkQG/gkQoCWD06vps9xP6i7Kw6u+I/jqvSM 4vprncGgXoHWruwYsBrcD8SJRDlB9CZMWmy54UPIpzyMTw5PY7DaxditNNKLId81Msyq3DSd 2HJr9CbzKa+PQTho0bB5JE0FTw5ondJzY3XfOcAMI3VA1zdWR8PRDWlExM5Tg9014+X4U3HT 2AEsK/HOELT6fBScNWaIK1CL2sfSpJyX6PRuep/L7pfZm/geiQiozCnLTBx2xN4FdlwxefzV GZY1Su/UL4bbx4+ZTOtyGD3/slzCIKGtvcC0GwE0Mm3I436XzwvI9SS6oi6xD5SwsoTx5+Lg ZC4m4iaLaL32SVLiAdGa81WO3aVyVstjbu0IxvPVyrtYMZGYBWCVZcNAqkxIaIL3adb3qeGp 8Vuzu7+Vx9vVpPIBotgSz9vsfCsI6pKxIMfpB7sp2CTOCl6fPj6m+Y3k7B6arUqjWjAmR3ZH oJ9D/MvKYfIO2ZBUbHX/XMjvLjMhAtPFl+t3CD6zAHvGgLPF7z9/LPbxA3CfmoeLb09/tVaP T68ft8Xv18Xb9frl+uW/F5DpWy/peH39Lm31vkEE15e3r7fh5zW48Sc2jy2G8ToKlBmYTDco jZQkIjjTaXGREJMw8UDHMR46yL2hDhO/I/KojuJhWCzN2skxDAmdrcN+q5KcH5HE3DqQxKQa xz8xwLKU4scWHfgAoURmUW10UzEgwfx40FR04t5zEGW+spifWu3CAmPfnv54efvDFEBG8pkw wNISSTKc+Cwzi+V4Lgi5dYQpIqPK0iWPCBGTX7kxn5GETQ3RrPeVNR+ZkN8oPhLAqf2hkrrr NBCrzNxIeX5MVqvyBwmU0xPCsBtQr2Y1FWHxgtRQhBUB5EacxRUP7goxENBgFnWn/nVHzORK A0kR6Ehty10Bwb4FNMQ0xr0f9MpzsWOaj8Q6qllVifl6QkPSJKemNA8aJCpDJsYjQ0bqxDgS CkMDsRxxUtExs6XQ8HBXJ7W4GtGg6B+3XTmILeYQhWUv12e04Hjz04flyI2EBqnM8Q80CCil c5JC5uE7obOwGPEB0DHZHuKBBLMjkASlOHnPd6z0hp4FZdzHDChGMCzosg67VPfMoZScEqPn vIbJY8ddusi6yErmbZH7QQ32KSDI1Y8OqkgMh9M5HM+DfHuxCAUNjESzLJMzWhTkzArBmJCL CR39mOwz8z2ShppfjsHjnhbg9TkHvAjObxPMmjHIUR27jkpSJqSaewoL5ku7gM6mTmaLOzN+ 3AtparZreYXl1tBnSDm71qo89LfR0kcMffU9aSxsdwLBUM1guA6VR8mEISYBDdXBd2ISVqV1 PZw4xc8BkI28RO8mJMJySmt3zeDRD5A0nwom00HjAlWI30/IYy/sp+h1nOwEuNK1xSuUgDqJ xGmf8FLltsb7jHHx43TANwokX6c8JhYkDeiJ7QuCRbyS35ydSVEwC2IcAHSkfOC0VCfkiF3K yiJJMw5BCJAIWQB4FG/jE4h+lkNwwecnaGDET2ezQlKnSRBnAfzibpCItzpo7SEW2LLvWfpQ i3Gmhb2LxCBnfHTV2i3L/M+/Pl6en14X8dNf13fTukyzXBZzCSgSewmoMgX3yabKhNOCixi6 y+NXPDZH0rTBSDP1nfVAhOw20UuqpzNKAB0EoXSQq5Mp1ORJqqGgP+AC/vyrY6C2R9O0SmoV 84EP1I6WM1E/fNf3l+9/Xt9Fz/RayJH2R6mxBk/AFxZUCuPeimBiWraMVu9WIcE05dcVVnKr 9UIB+YU4SOh6eeI9WYsHsoszJZ7m8LpU3+FlQAPxZb4PA2sThEDgOEiSM234lQMkfjSX0Ukm qkF9TRjH/j8GHGIvRJ084+JEOZwCUaMU1NdffzIfAM1Psz29jGeP+jXCFw96nSZnJRrSQHJf xFBLdmidBvimqrrb0qqoSgMQ9iyQBKIVtfpIZMkjio2EiT1btcHyAXP62CCEvFfNUFrKEaNa I+F9FUBaD1jok2u0ATXcH8ymK4p8pvsAuZouH3PEiUEyBQh0w8+sHGoHG0SSaLEM8nPB6Sch Cw5z1TePebj1t76hjJbeRszti673caZHj+keNXdZv277WiDVUl0RLL2WeHO8E6srNpmlSSVq uuPGCMrBkmgCjYfHgA0bLB8JrlZGA1V/T8rEii8IR0THIQ5LbTVEjW5HBsTwHCT8iKRL7YC2 LFs9KoKfyMmjRyUs3lNSme6/ACS3vGTSa8NwLLLfzeIhkE4VujcCubJ9cCVayTwxzfH3g0/i O1DqkZu1YEBLkLBAfe9caIocP7VhwwJo9xCSeIgPQkITLs64D4buhytnuIrVYkjBxayM/6H3 fv+0xo2sJGhfgCCf/h9lV9ecOM6s/wq1V7tVO2ewwXxcvBfCH+DFxo5lCJkbik3YCbVJyCGk duf99UctW8ay9Zg5N5NBT1vfarVarW46cC3uSbxdzf22PTDZkhnEWZkDWw36tjM1n2uKMtx4 hN6OXQmAkqZoStbvW0PLMneYJPEjy7H7A/RwTNLIWNC3cLOwoXD0Dr7Cp+AJliRIXTZtlFCH SfBvDaOMt97RcMLBW6wSdxzbfFS44ubjU4UDRUKJT1Cce4Wjl6bXPgE++CqCEdD7SgKPuZY9 5H39YYKWhe6+UKZVETI75qVnT4BriKJp+cABUZEKgwmXUbzPDoLIdabonVY1JZ1/MR7ygRVE AwuEMK/TNN5FNRa2vBX+8+X49vev1m9SJs7ms15pRPr5RuEgDKZMvV+vNmS/tVjDjI7VZhlG 4vyBu4CXSjyOthnQM0mcIlV35E72QA9AxCu6PxT9uy4Njox9k5+P379r1251S5gmH1YGMi2H dxqaCG6LroI1wjg3SQ4aycIXApTYrHNYWuUx8nZ5bmq+8NCImJDvN2FuchGs0Rl5mQKVAZSh 14/vl/2fL4eP3qXo+uv0Wx0ufx1fLhSNRMbr6P1KI3TZn78fLu25V41FxlacHBb/RPtl5Nrb dClDNuUamTi7orA9jezoEU3HMqi6Hp7q6OaS83BGgSrMuspQ/LsKZ2xlmlK+4KBCrEvI6Iy7 2bpm8Sahlplelrt0INYTlBRSS1q4eSIWuTFReaz95Xx57P9SJxBgnixc/asysfFV1T4iQXI+ YauNEKuUmZ5I6B2V8/Ta2iZCcXYMqLCgUWuZTl4lDckNr5j19N069HdN/5h6rbON+aRD1pZU U4Pgpb5js5nzzQc2DVciP/kGApFXJNsJuM9WJB5vezw2kIAnhjWSEYpZX5IsHuKJAxT/iiZm 29EUxQsvaTLuuIMbZYU8smwQmVWnAW/6GkQgJnxJtBUk5ltBRZG6AXwwrNH0b3SQJBr8DNHP 0ICgqdVoDK0cxYovSWZ3A9t8sFIUXIjeU+DUWdEEMXTFU426mMjgjWaNxAFuSuq5gLADisSP xbGnez1kG0HSPbmyzWQC7i6qjvHEumtHu6UHxze4A40LEE81kptLdgCEYI2ku7uIBIQY1Uhu cxgQu1BjDcDIqOr1KXI0d50Aw9tzZITC8GosaNg9AwpW1t2/YhHa1g22ELvpeGo6AMndqO23 j+YPRWz8iV3G4wNkRKLX0KQs1BbD1LVV+enL/iKOHK+3CndjEEOtNids4B+kRtKKpWIgAZ4H 6nvXxNkFLA7BY9Ua5RjoCa4k9hDcR1YLP19a45zdmD7DSX6j9UQCnM/VScBT/IqExyP7RqNm d0N0Xq6mQeq4N9YeTZTudfXtYXUXawo2OXNOb1/oCKNPqKakk0+tLJ7a/b4uxymM/O02ZTk5 DTv0q9X2lIv/3dx9xgOTF25xpOZFCGRj9b2YXZ+aVHleU4GxiCBox2ERibvCCXMtbpdIS4J6 3mTCnTEx7HMvNkUiZDkFCmA1cVikbMuUaw3vd2wbUvbmA5P0VesBC2UC7xBIdzwRWXkwEFlq NUuDsmwjLiNXLCiDXTwHhkJXGiMsWgdbxgNyu8yMQ+K+HA9vF43dMf6wcnf5FlZXpBtPCSJ9 tg7a74xkfnT/rrkUuZfpxgLWZU6gcAFVIWRB+KCCaOEz8BSuUdVa49fbLjubNTj1UowX5W3f MEMJDpNd7K/W9T5QybGea/l+6/F8+jj9dektfrwfzl82ve+fh4+LyRXwLdJrgfPMf0DGHDxn 8xA8b50nkReEQHkfB+TWIOE7cBPoLrIk9qunNebSYz+K2CrZGl/gqIyipQy6myTLdVoLEkKB jgVGIQFSltVYSaFNI+waRES64nZfTo9/F+Fx/jmd/67PfspowT3zCeGaofQZMwT+Z2pkPHSQ cXiDCjiX0anAtYNOBFT0OhFwXFQjcj3XH4NowA2yKTih1Mk4hQzYuebLKKK4S7LQfBtWyya9 NytxayQb92ZlgnDre611V4u6Ypwl16wW90JmXdFtcmvdFh/x0+f58dDePKU6ttjetJQ0S2b1 iRsteebKCtY3NenrPm+m5O6s/KB2DUrPU+ilxy4N89FwVo/mYqxhbSWyMJolZg1MKLpwrXRw raZnh9fT5fB+Pj0apWifHk6T2srY54aPi0zfXz++G/NLhUBQslBzjtqXNUZHQWvuGyEwioOI qNuv/MfH5fDaS8T4Px/ff+t90FXDX8fH2pV+EVnk9eX0XSST4/l69VTQEANcfCcyPDzBz9ro dbTLQAz6g+xrfIYga7Vodj7tnx5Pr63iqr5wd7PMjXk+M/ah8fviaeA2/Xr1sn93Oou1Cwq5 W4euW8p5ULrK3DQ2VuFWQYWq/n/iLerSFibBu8/9i2hYu2fKr4y43nG6xY38eHt8Ob79izqi dI6/acakLos0fVy93f+pqXktKo1J5Rtkvpmj+tvcTUyPGWKxSrOHFtPxMha7zVR/VjO8COus SvwobR/rM/WaugNP+2oUZAKQrPg6NgY3IsJlEAaSXC+3vKIQ/N1cg+K/RhvP2ud6nqomnN7J VyS2njG/N4TIa1KU37YmDnt8PLwczqfXw6UxaZiQR62RDU6qCjWfmJm3jQZDB3oOVDhyGSjx MfYdq3CU/yxmFlDHCsgGZ2sBDYFGfRa7ltMvnseZJX9mgwI9NkCBTGOWeUDQKTBz70oMnLHl cOdFRXcDcfgzi73LLffMmS+37h9Lqw+8p8fuwIbGU2w8dPCYKxyNKeHIR6HAJkNg4SGwqQOE 2AIDTdm6YrTNIpvARjZ408xdBk1seL6cDCzg+1BgM9Z8MKy2X30ZFkvzbS+28t7l1Hs6fj9e 9i906SvYbXuhjvtTKzPXVoAWcLQoIHtknn0ETdHCF5C5hRIy6+oENAT+SAU06o92MvKXjAUe RWCNaZSYNYzHuFXj0WQH2zUGK5gg3BtjcL8goMnErMsX0BTosgkCQRII0m1c6pIY87R9kmQz FjPHs0vkehxxLTF95QfmLXq18aMkVYEogXHQIpwMgUZ1sUV+eMMVs7dbWHKUu/ZwDOyoCAPH XolNzWNeYOZhEEdpC11gEWah524FaJ7phKFbRzq7j0DfxG46sMEFNGFDcP1K2BTkuWLrMdJG c4/GgfyAdJiA5SER9SeWecAUDG5GFDzkfWB9V1BYtjUwd2aJ9yfcAs1QOUx4H+wPJcXI4iNw OS0pRAkgwn0Bj6fA10MBTwZA+1HCIxBGoyxb2u4hgjxyhw5Q5myCkdWHK6oU/LctXG07XVtM fRMKzqe3S89/e9J2HhI2Ml9siE3HB3r2tY/LE+z7izg+tLaxyaDJuKszbfVB8cXz4VU+3yru C/Rs8ogJcXlReiwD0pw/ArzedfkEcS92B11rUGFhRuHg+TxFAWxSDpDNt0nTeFHpTJotLa5K jk/qqkQMQak20qKXGgkKXQNPFVT7ri498rTsu5Y3LHUmbGVRqOHLKSRm074YeCSvOH1wYSGg ARABCYL7szMEDIagIZIGBIR2WseZ2ua5IzHg7ZUwcKMpoJE9zKDYIvYpC0m/tIeNAI+lfCej DmnIGU1HHecwZwzEXAkhYc4Zj2B/j/HYdkhRA2ACIrjCBBxBvTTJyfDZDPIhCmMRj+wB6E2x QTsWFAicCZhlYg8ejoEqmrAp2LsFbxf170/spuF2g8JxgFRUwGN0wCzhETiRFHtHqwfVVVXX ci6s8wRrefp8fVXhwescqIVJMDgf/vfz8Pb4o8d/vF2eDx/H/5IFtefxr2kUVXFLpaJ4fng7 nPeX0/mrd/y4nI9/ftKdmc5Ipi1LMU3XDLIojC+e9x+HL5EgOzz1otPpvferqMJvvb+qKn7U qqgXGwxRCBmJNQerrNP/t0T13Y1O03jv9x/n08fj6f0gim5vjVJn04dclFBkXKZQxEulNgiy 7m3Gh6DHZvHcAt8FW8ZtIYMjhUK6HvQdHICqVIXMH7KkQxMS5vNBy2VaYwm0e7XYhg/7l8tz TQhRqedLL9tfDr349Ha8NAch8IdDxOwkBrgW2w76HQcSAs2hEowVqoH1NhQt+Hw9Ph0vP4xz KLYHQE72FjngQwuS4cHZZpFzG7DVRb4GCA/HSHVDUFO/p9rabFfBxQSPuNCbjtfD/uPzfHg9 CGH1U/STYe0g9WCJwvkvUaiQDK2OMGoljDb4YJvwiegM+H1FgHJYxluwmYerDS2yUeciq9Gg EsqFGPF45HGznNsxCMVDlOP354uZp/3h7TjaAJm3piM+GJZoQIGXzFjq8Sl6nilBFI9mtrBQ iB+C0LEjHtgWsLYkDMgrAhoARZKARmCJEDQCGtN5arNU9Bjr90EIOHk0oBdVkT3to/C8GhEw AJagBcSmPzizbCC3ZGnWh+/58gw+xdsIFjkEXt4FBxWsF7NXAs2HhVXCoOlvkuZiEpmrk4oG yteaiMVZFoq7K6Ah4H75cjBAAXry3XoTctDhucsHQ2DmITHwjkANdS5GE1nSSwxY0BM2BnkL bOiAWIlr7lgT2+xdYOOuIjiYBQh0lxs/jkZ9dEyXIDBg2UQjdOX0TUwDu3WRVnI+nbMVJlj7 72+HS3EXYOR5SxjHSkLgQLfsT5GisLzeitl81bERXWngHQ6bD5BFeBy7A8cGbvHKLUJmjmU1 NdcWsetMhh1BAxt0MDJZSZfFYs10RDLVyVq5KXM407AVA/r5cjm+vxz+bZwkqNVx08mYyq3+ TSmoPL4c3wzTotpDDbgkUE84e196H5f925M4zb0dmhWRHkOydZqb7or1gaKnYWaqsirmArWT yvvpIvb4o/Hi2UH+bjxuobcidD4fdhzrh2B3LTBw5hdnd7TFEWYB3kQY4lvyO2QhnacRFONB xxk7VXS6Lr5GcTq1WhwR5Fx8XZySz4cPkseMbGiW9kf92Gy5OYtTeCEeLQQbNXNuL+Vo+1qk aOTTyLI67p0LGLKsNBIsC+huuAOvawQE4kGWvAzH0coddABcpHZ/ZG7Gt5QJKdCsH2+N0lVm fiNX06bB44Npcw+s70jad+VUOP17fKXjE72ZeTrSwn40Tgwp2EEpLPRYRgEx/N0GrNYZ9ISb IkPhLPDG4yG66soCFHl8K+oJpCXxkXnlbyJnEPUNgbSr0ejsqNJk8eP0Qi4HfuJ23+bgvRdB FtJd3Cih2BcOr++kIAMLnPTOUyC2CbYZxjvpfzJxkzVykR1H22l/BMTKAkSXh3HaB7YxEjKv vVzsTWDiSQgIjKQ/sSaOeXWZeunqB6rm9kz8aD6bpiRptGZI2i0i8sPVyqKyrtUdUsXSXDHI zXbIhEsvIboiuRAcsrve4/PxvR1nRyBkrKs/etkFoTaxFSCrxUKXvmqa5Ilkp0y/yiPNYmsc ImXuEkaqEYzTz8n2Lc+SKDIYraWLhx7//PNDmiXWZ2zpyn1HBMZdyY13y2TFpF9NSCXS1WMn sSH9BElHPjRmYbydxHdUJiSLw63oxThMw+7s0i3b2ZNVLF163qaiZuL6i/mSdteKpekiWfm7 2ItHI8AoiTBx/SjJyWWdB5xdElXxXolcrZn5pjaqtU/Jj66LvEkBi87MEH2BvT2dT8cnjbuu vCwBoZ4UeU06YSbzG+VXof6z4gOFQvW+dznvH+WW2g43xcGSLrqr6ahQ6TLbWV6/DFLgYzcA ntV5CAzveRTGaJnKA4P4/8oHbthdCtwHTghlmBmvbhodHF8Eh5XDr+1DG0ZCgxAYxKkjZRk3 WuYKLCSfY3Ve5m9zewf8MApsYPa4KpDhrs7EZcKai/KTTObZKGMoK5bwcLtjrtl0TVFx311n yEGJJEIePP6YeVq59BsSi5Limcvchfb0LfND0XcCA13yB4a2GJoHHHZy4naAs7yjLqsw6vg0 sFtfVn1IT0QCrg9RkVb6YUxS04f0TnBHuBAxa+9ZBIMg66iHJl5bUjuxC2QP2MG7oNj4zUGv sFWSh0HN8N1rJoRFgvT0dE0NWEVXFXS3TnKgzl7nScCHqDsLGHa2nPpggEXLIvbQgIvFu398 1sPbBFxOSSM/KKkLcu9LlsRfvY0nWYKBI4Q8mYoNCdVq7QUtSJVjzrs4RSf8a8Dyr6u8UW7V 5/lOn1kxF9+YJ+Kmoq59rZw+UfTylIJMDQdjEx4m5EpdSEH/+eX4cZpMnOkXq+bpp066zgPz MWWVG4ZUcV9zSwvh6uPw+XTq/WXqAXpFpTVKJpAPszxqJFLzKM5dKFaPJsgSKITOyMt800OQ pZ+t6iU0BGoh++tDIBNucN+CZsvy3LRziO06KANka2846Y/swrpQa+id69s3Xjw3Jj9NfqzV MsnIqyReY8zrwAKM+ZLzIHSBPxQQBQSFvLmjrrOO6nRtLm1+rpbrLFT93EgR/bIht/+e9Fac GQiib4kh9ZvmmeuazHM9VKEEGD2FND0ubH4uJ5AhW7Wpt7Om3NfikLzKQxdH2XYzFoNe43dr xhcA3HTsynG4EgsCce24Y2KkGLtbbYed6AijWVehKTnDBpaVD3wD+XzHTMzaO5pijH5+n2TL xlJVYGMm0u+N3fitRdopUiDvkfDQUA0ZZXPVLMsLOcURE1tYWvM5V8/N5L1unsnHE0LKSGrh J0laaf4UddELrELNqv5er7JUezBQpHTEPHD9dIHGwQ0RkHgMczw0dFG9uyKudkFtm6zBap/d iX1W68Y6NgZ6XJ1obHIspJFMnD4sYwKM0xtEZjV0g+gnaou8zTaIwKsBnehnKg7ufRtEwEmJ TvQzXQDe9zSIwHV9nWgK7Nl0ImDO0cjpJ/oJvezRKw6udolIyL00y3dA4qtnY6HYlE0qPAkY d8MQzHpVE6s55RWAu0NR4DmjKG53BJ4tigIPsKLA60lR4FGruuF2Y4ASXCPBzVkm4WRnvpKt YLPrWoJj5tIGDNz1KwrXj4SccoNklftrEHajIsoSIezcKuwhC6PoRnFz5t8kyXwQDVVRhC7F uDIr/iua1To0K7G07rvVqHydLRvuamoUdFTTPENFIMzIKnQb4ZnVuTfZ3Ws6dk1lVrzvODx+ nunyqeUOicIv1oun37vMv1tTtCvDyVzJZkWEdjHw9EUWrubgWFBmaRbHChWJEOQhiQB23mKX iPKkqIxMQApZe+fFPpdXBXkWAv1jp7JNgUY5Q7r2ESdwz1+JKpPmxU3Shx2LhAzFGgfaFplZ iSIEOdLi8GSdgZf6PBftdmU2FJ174UepUdOpTv7Xrqi7IIt4/J9fyPr96fTP2+8/9q/7319O +6f349vvH/u/DiKf49Pv5Pn3O82SX4pJszyc3w4vvef9+ekgb36vk6cwYDm8ns4/ese3Ixlp Hv+7L03x1bQUp3yqvrvcrZKVpnOcuxQdaT0PV4IgW7t55LMl9lpuJp89ZL7ZGrGDnkYL6K1D crtdjCbww90ipgDckFaZ7Jh7ScG4k6uHVc21WykjaPEklTOp84/3y6n3SPHLT+fe8+HlvR6l qyAWzZuztOYoQ0u22+k+84yJbVK+dMN0UddGNoD2JwtxijUmtkmzuv71mmYkrOT/VsVhTRiq /DJNDdSkd2gni62AzQ15lOmaor6EmlPe+GF1/JMu5lrZzwPLnsTrqAWs1pE50VQT+ce8HapW S50F8KpWkBgd8aWff74cH7/8ffjRe5Rz9Pt5//78ozU1M84M9fLMbt5K1Hdv4ZnHzdpv1e51 tvFtx7GmrYqzz8szmT497i+Hp57/JmsvVmDvn+Plucc+Pk6PRwl5+8u+1Ry3HvtMDZUbm7p+ IbZZZvfTJHqARsPV2puH5NcVTxru34UbQym+KEPwrU2rmTP5Kur19KTr5VXlZp0j7gYzXBU3 z0zNzU2ba1XLmeGTKDNHTCrhJDBf95ZweqMNW+C3UbEA/+E+AxfNalQ8IQPma+AMrmwZ54bO X+w/nqu+b/ST5kRUcceGH1HVhBtN3DS8cSr7wMPHpV1u5g5sUyES6OzI7QLFVCopZhFb+nbn aBUknSMiKpJbfS8M8Dyal3tLay78xBqLPeCyUMHdX4dioUmzjc4RyWLPAk8gahRAY3OlsJvm SS2KAXjootjFglkdzETwJWdk6EcBOOAhxpUCvEEp8bgbzoVsNUuAbrHcbuaZBbzOlBT3aaOW BYeTIS3bK47pXoSvqSg0uKJYrWfAOF1RZG7nnJpFyT10aapmPSO3pGH3bsZ43jk7iaBzxiBT nRIO5N9Odrlg31inIMFZxP+vsmNZbhtH3ucrUjntVs144ozH8Rx84AOSGJEEDZKW5AvLcTSO KiPZJdtT/vztbvABgA3ae0hVjG6BeDT6DXQwTZWdSJzsxikgOIarwlfepqfByV2pxORiVyvp 7ln3rOsj5t5a1lC/vLPUjii2Eu5GMqR34XlXvP/R5PABvOBy9lpwG/fSmae3h+8P+w/5y/7b 9tjdkHYuVvfEXiZNVKicSzHpZqnCefe+MAPxCDENe0OCEFLEhmwNjNF3vyZYS0hg8mCxGUFR DW/QLtp7ANpU8UJ722fPaviEozxJyi4eWlf+yeE4sGaRa/b9s/t2vAUz8/jw8rw7MNpEmoQt f2PagTtxWheA3iGNEU2f1zexWF17jNcJaTAJkhtx+Rfb2Xsk+TA0XrseY3sF3mLF/DAoN1km 0NdEjiqsP2vkwA7Aog7TFqesQxtt/eenv5pIoCMIw8GiTWazsiOWUXmB5XuvEY69eBPeEPUL HL2yREc+39UXXcreqdY+eJySOTquCqGzmzBLacYEqjX14QXdv8lCeqJCeU+7+4NOir77sb37 uTvc/2K8vI5h1aZSddn6/JSVVjWGl5cfjQSXFi7WlQrMFfN58mQeB2rjfo/H1l0DtWNRuLLi kbtsoXdMur1rMTqUw0YElDTGbGGYgOqDT7cbRNKlMINWlEfFppkpmTm5XyZKKnIPNBeYHJSk tqIjVZxwkkL7XM3C3H0udZT0mZUdvatoQQmRUVaso4UOLSsxM1lOBGYxcGKr6dQ5blEzodxH TVLVjd3BH44/Axr6F/n5ThABDqQINxfMTzXEJ1oJJVArH+FpjNATOACoJ+IZOSri0GwFqbHc Ohlovk4414A2zKyszyCPZTa9UJgvg7LGVliodaTGgP6is3GEWeoOW2PBtZ+x7aiSMN1QM4e/ vsFm9+9mfXE+aqN88WKMmwTnZ6PGQGVcW7Wos3AEKIHLjvsNo6/meretnpUe5tbMbxLjTBmA EACfWUh6kwUsYH3jwZee9rPxQTejG71gK2WUAGu4FrAqKjD0KSAzZAtm5rtuwpSVxmIX2B6b A89Bn6d6K4BGYQ9TliJvaX/RrBTeE4Nhh6NSLTCbNFAIXJC2x/RQiqoudF2XomTgoPSrWK7y MQo25DLv+sZ3ZAsbqoSTa46NqNT5UrLLeapX2OjnymS3qbT8Yfj31JHNUzsbrd9FqmFpUnqU 3jRVYHWeqCvUqlKm36xIrOQ5+GMWG6srkxjrBoPkNJ/rnklYpVGNTGwtHaSLV4sRt22eamUE PX/13MEk6JdXT2CdoAVscYrfZGZKCAFIxLwdlNmO+XPN2ev5aKwwGs9rRQg9/fTquS/crlA+ PVdAOP386nkujDDAtjk9f2ULaJd4V0YaNFWCbHLIFMOl+ZwlLOMCqKPM2DHCTtej1sfj7vD8 U9903G+fzMjhoADBJ6slVZzgI8waHgXuZa9eaclLSdn38xTUpbSP+nzxYlzViaguz3qibrXk UQ9nwyhCzMdrhxILXyGeeJMHWCPWe8w3WSjRAhBKAaYVC6XfNPAPVL5QlnwivHdBe4fD7p/t b8+7fauCPhHqnW4/csuvP4uWJDNekVO8KasxB2AhoqVxDhSMv1kFKr88/fS5X0ukoAIkA95x spOcFdiz1BsA2cVbAAI+Zp/kwPRZ7iMLoBKwBAElhRNoX7XQEwF1H1VVTLfOgiriki1cFJpE I/N0M+5uJlUEs8SwccEVgB5Ks7xv4Wnlya2yu+vOTLz99nJ/jyHf5PD0fHzZu6WvsmCeUB69 umJ1BhpoaUpUEsgws+U8tjg7/s2ufR2WbvJKO7V3DdYeCybpm3dadSsmwHfOijYW3ndmG0Rw FMG2wzdTPWF33SEikszk2QZ2A+Lbk0pA4EImpcx9tqD+igy/ishX0EuTXBpwsS/ahXZBQBHC 1IMxfXWQqe4pc6JGDsWbrHAw4xZL5LE+pxP9XXNFrAa9SuMkqqrJ3HN/rAET3etSHZQZwTHr iL6yDIDcOqVkIBTdTFO5PP3FzZwYqGW0RIvEPho6rIX4H+TD49OvH/BdxZdHfSgXt4d7xwTP 4XwBR5D85S8LjvcNa3H5yQai9JJ1Bc3DvshZhZYvKplTb6VrYLOoQfBWQclv3eoKuBTwqtgT CCFHjv4ae4qn10KnhgHf+v6CzIo9lprM/GneBEdtnb9TxPXubiMu4lII9xkH7ULB2PTAfP7z 9Lg7YLwa5rN/ed6+buE/2+e7k5OT/w6OJrrQR33PSa0ZZ8wXSl73F/fYeVEfOK8JmkeTpq7E 2hMyaYmUqc3lnp03O1mtNBIwHbkqAvf6rz2qVSk8de00Ak3Nz0E1Ulf1PoWNeaMvXGPygk9W QaSvwmGoaiVGdvBA8P1EJ3XR/4MqTC0XGEyFlyL4T6M6AMvS1DmGloDqtZNkYvZLLSU8LOin Fp3fb59vP6DMvEMXIaOEocNxSt69AS+nxBjdB02cOpCDdouCDizdoArQCYjvPI1kr8VJPFNy vxopWL+8SoJ0fANURTXPaQCAytbMTxyI8SYFEZJ3kxEqrpiysMMTKdb4RgfxqtUNFaMV2ho9 ETwoNFiHiR8qutDyaFNJ64SZesSszrXSSjNSjq7XQ+cqKBY8TmeazAg6CWxWSbVAM97VKVtw Rlf3AQH9xQ4K3vbEs0OYoF9ZJr6uidn+UPcyAPEXHi498+9jGWRFKjipbag09OZCUhKvW4nY tXijqsUZ0ejtcc/TaMsbk5hu/Zebm1DyWxuorCmquM4K/RvPnaaWqPhnFup8leRgGrU2F60q awr3iJbfEoegIa5KXjtBoZYNcaZXBwLFLkrrWFx+3N/e/fj9Oy7Ob/Df48NJ+XEYR+9L7NEJ 8/eXw10bFD/5YUR0sHJCmcwXPJe3d8F0N1Tbp2dk/KjKRA//bo+399bLdcs69yXut/wQLXHY wST/qq1C3rWir11zOC6xLSN5bTjXtLoLWi006zPR2NfnEJ8LuMDRwHunyN3wULg1etNl7HkX RGuCGLoqnQurNooXGnbCkUTvBH8NMTNnAo5u3FKmEsuberGIlEGlbqY7A3kAXNYP7/yaHnXB nPhCrPE4TqyMdoLpDHvPG20tXhl5Evp1YBUwKs/TKYRA/iQ+dZ3g2kE3CQcaTvnsF8Koa/f5 GhO6Jq+9H47vN8yAZfoxFMaTKnTrTCy4L5ODoEnMpwtoOl5OEPl15tdd9eQxlcJ750KvYDG1 /BgFXqDnEMQDzxiAqeIuNCHI70UWKF67p95micpAtZxYKP1SwsR8/I7HliDpioj3Do0mykxO UAQIwSgAwpz8CGr6HrbadeJFAJhXm59k6qN7EtrR/D+A5dYCI8UBAA== --tThc/1wpZn/ma/RB-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-7.3 required=3.0 tests=DKIMWL_WL_HIGH,DKIM_SIGNED, DKIM_VALID,HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI, MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=unavailable autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id B0CCFC3F2D1 for ; Fri, 6 Mar 2020 00:34:04 +0000 (UTC) Received: from bombadil.infradead.org (bombadil.infradead.org [198.137.202.133]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by mail.kernel.org (Postfix) with ESMTPS id 7735120726 for ; Fri, 6 Mar 2020 00:34:04 +0000 (UTC) Authentication-Results: mail.kernel.org; dkim=pass (2048-bit key) header.d=lists.infradead.org header.i=@lists.infradead.org header.b="FgHMsXkK" DMARC-Filter: OpenDMARC Filter v1.3.2 mail.kernel.org 7735120726 Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=none smtp.mailfrom=linux-mediatek-bounces+linux-mediatek=archiver.kernel.org@lists.infradead.org DKIM-Signature: v=1; a=rsa-sha256; q=dns/txt; c=relaxed/relaxed; d=lists.infradead.org; s=bombadil.20170209; h=Sender:Cc:List-Subscribe: List-Help:List-Post:List-Archive:List-Unsubscribe:List-Id:In-Reply-To: Content-Type:MIME-Version:References:Message-ID:Subject:To:From:Date:Reply-To :Content-Transfer-Encoding:Content-ID:Content-Description:Resent-Date: Resent-From:Resent-Sender:Resent-To:Resent-Cc:Resent-Message-ID:List-Owner; bh=6cZFjJZw8ti2sD0nMT0v0rReTkUf06cRpX6C4vJSvqQ=; b=FgHMsXkKpX6GgmEamM+ELS7OQ 6xlmrz8S8j3E7uM26vLlenD5NDXEGHjfAoj2O51w7TJXf3TJuNNh+JCd6CKlcVtT81JvkBjnAIgf5 GCZI8uLDkqRiUAGAv/c1VntmE0tHHkaVF8MDBke6ntrQAgyURh1Xy76mqV+twi0vR78wr/h4dW6Sr ZzfweqKGwjjGdC75Rr651dHaXqh4ziRTddNMuuaI26pbXe0ELVlaj9rrQK2VaC0x+7wW4iv2h35td QO7wHnO9QOQVX4IFphSsoMzhDhBiHDD4NENWsA+hgZnQpiZUZ1wlYjaD2svUoRun0xoIIgjrTUYuJ BRDB7e/Dg==; Received: from localhost ([127.0.0.1] helo=bombadil.infradead.org) by bombadil.infradead.org with esmtp (Exim 4.92.3 #3 (Red Hat Linux)) id 1jA0w7-0004CU-HO; Fri, 06 Mar 2020 00:33:55 +0000 Received: from mga01.intel.com ([192.55.52.88]) by bombadil.infradead.org with esmtps (Exim 4.92.3 #3 (Red Hat Linux)) id 1jA0w3-0004BE-J7; Fri, 06 Mar 2020 00:33:53 +0000 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga006.fm.intel.com ([10.253.24.20]) by fmsmga101.fm.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 05 Mar 2020 16:33:50 -0800 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.70,520,1574150400"; d="gz'50?scan'50,208,50";a="441759822" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by fmsmga006.fm.intel.com with ESMTP; 05 Mar 2020 16:33:38 -0800 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1jA0vq-0005vT-9R; Fri, 06 Mar 2020 08:33:38 +0800 Date: Fri, 6 Mar 2020 08:32:54 +0800 From: kbuild test robot To: Thomas Zimmermann Subject: Re: [PATCH 02/22] drm/atmel-hlcdc: Use simple encoder Message-ID: <202003060857.sLuBNk9D%lkp@intel.com> References: <20200305155950.2705-3-tzimmermann@suse.de> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="tThc/1wpZn/ma/RB" Content-Disposition: inline In-Reply-To: <20200305155950.2705-3-tzimmermann@suse.de> User-Agent: Mutt/1.10.1 (2018-07-13) X-CRM114-Version: 20100106-BlameMichelson ( TRE 0.8.0 (BSD) ) MR-646709E3 X-CRM114-CacheID: sfid-20200305_163351_667862_3D01AC7B X-CRM114-Status: UNSURE ( 7.61 ) X-CRM114-Notice: Please train this message. X-BeenThere: linux-mediatek@lists.infradead.org X-Mailman-Version: 2.1.29 Precedence: list List-Id: List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Cc: hamohammed.sa@gmail.com, alexandre.belloni@bootlin.com, heiko@sntech.de, airlied@linux.ie, stefan@agner.ch, linux@armlinux.org.uk, paul@crapouillou.net, eric@anholt.net, thierry.reding@gmail.com, krzk@kernel.org, sam@ravnborg.org, sebastian.reichel@collabora.com, linux-samsung-soc@vger.kernel.org, kraxel@redhat.com, jy0922.shim@samsung.com, hjc@rock-chips.com, festevam@gmail.com, abrodkin@synopsys.com, kong.kongxinwei@hisilicon.com, patrik.r.jakobsson@gmail.com, jonathanh@nvidia.com, xinliang.liu@linaro.org, ludovic.desroches@microchip.com, kgene@kernel.org, linux-imx@nxp.com, ck.hu@mediatek.com, linux-rockchip@lists.infradead.org, virtualization@lists.linux-foundation.org, linux-tegra@vger.kernel.org, p.zabel@pengutronix.de, Thomas Zimmermann , puck.chen@hisilicon.com, s.hauer@pengutronix.de, alison.wang@nxp.com, maarten.lankhorst@linux.intel.com, mripard@kernel.org, inki.dae@samsung.com, john.stultz@linaro.org, jsarha@ti.com, matthias.bgg@gmail.com, wens@csie.org, kernel@pengutronix.de, jernej.skrabec@siol.net, kbuild-all@lists.01.org, rodrigosiqueiramelo@gmail.com, tomi.valkeinen@ti.com, bbrezillon@kernel.org, jingoohan1@gmail.com, dri-devel@lists.freedesktop.org, sw0312.kim@samsung.com, nicolas.ferre@microchip.com, kyungmin.park@samsung.com, kieran.bingham+renesas@ideasonboard.com, daniel@ffwll.ch, zourongrong@gmail.com, linux-mediatek@lists.infradead.org, shawnguo@kernel.org, laurent.pinchart@ideasonboard.com Sender: "Linux-mediatek" Errors-To: linux-mediatek-bounces+linux-mediatek=archiver.kernel.org@lists.infradead.org --tThc/1wpZn/ma/RB Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Thomas, I love your patch! Yet something to improve: [auto build test ERROR on next-20200305] [also build test ERROR on v5.6-rc4] [cannot apply to rockchip/for-next shawnguo/for-next sunxi/sunxi/for-next tegra/for-next linus/master v5.6-rc4 v5.6-rc3 v5.6-rc2] [if your patch is applied to the wrong git tree, please drop us a note to help 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/37406982] url: https://github.com/0day-ci/linux/commits/Thomas-Zimmermann/drm-Convert-drivers-to-drm_simple_encoder_init/20200306-045931 base: 47466dcf84ee66a973ea7d2fca7e582fe9328932 config: arm-at91_dt_defconfig (attached as .config) compiler: arm-linux-gnueabi-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=7.5.0 make.cross ARCH=arm If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c: In function 'atmel_hlcdc_attach_endpoint': >> drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c:98:8: error: implicit declaration of function 'drm_simple_encoder_init'; did you mean 'drm_encoder_init'? [-Werror=implicit-function-declaration] ret = drm_simple_encoder_init(dev, &output->encoder, ^~~~~~~~~~~~~~~~~~~~~~~ drm_encoder_init cc1: some warnings being treated as errors vim +98 drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c 65 66 static int atmel_hlcdc_attach_endpoint(struct drm_device *dev, int endpoint) 67 { 68 struct atmel_hlcdc_rgb_output *output; 69 struct device_node *ep; 70 struct drm_panel *panel; 71 struct drm_bridge *bridge; 72 int ret; 73 74 ep = of_graph_get_endpoint_by_regs(dev->dev->of_node, 0, endpoint); 75 if (!ep) 76 return -ENODEV; 77 78 ret = drm_of_find_panel_or_bridge(dev->dev->of_node, 0, endpoint, 79 &panel, &bridge); 80 if (ret) { 81 of_node_put(ep); 82 return ret; 83 } 84 85 output = devm_kzalloc(dev->dev, sizeof(*output), GFP_KERNEL); 86 if (!output) { 87 of_node_put(ep); 88 return -ENOMEM; 89 } 90 91 output->bus_fmt = atmel_hlcdc_of_bus_fmt(ep); 92 of_node_put(ep); 93 if (output->bus_fmt < 0) { 94 dev_err(dev->dev, "endpoint %d: invalid bus width\n", endpoint); 95 return -EINVAL; 96 } 97 > 98 ret = drm_simple_encoder_init(dev, &output->encoder, 99 DRM_MODE_ENCODER_NONE); 100 if (ret) 101 return ret; 102 103 output->encoder.possible_crtcs = 0x1; 104 105 if (panel) { 106 bridge = drm_panel_bridge_add_typed(panel, 107 DRM_MODE_CONNECTOR_Unknown); 108 if (IS_ERR(bridge)) 109 return PTR_ERR(bridge); 110 } 111 112 if (bridge) { 113 ret = drm_bridge_attach(&output->encoder, bridge, NULL, 0); 114 if (!ret) 115 return 0; 116 117 if (panel) 118 drm_panel_bridge_remove(bridge); 119 } 120 121 drm_encoder_cleanup(&output->encoder); 122 123 return ret; 124 } 125 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --tThc/1wpZn/ma/RB Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICCGPYV4AAy5jb25maWcAlDzbkts2su/7FSrnZbd2Hc9oLrbPqXkASVBCRBIwAOoyLyx5 hnZUmZFmNZok/vvTDd4AElRyXEkl6m7cGo2+0z/946cJeTsdnren3cP26enH5Hu5L4/bU/k4 +bZ7Kv93EvFJxvWERkz/DMTJbv/254ft8Xly8/Ptzxfvjw/Xk0V53JdPk/Cw/7b7/gaDd4f9 P376B/zzEwCfX2Ce4/9MYMz7Jxz9/vv+rdx+3b3//vAw+ecsDP81+fjzzc8XQB/yLGazIgwL pgrA3P1oQPCjWFKpGM/uPl7cXFy0tAnJZi3qwppiTlRBVFrMuObdRBaCZQnL6AC1IjIrUrIJ aJFnLGOakYTd08ghjJgiQUL/BjGTX4oVl4sOEuQsiTRLaaHNHIpLDVjDr5lh/9PktTy9vXQc CSRf0KzgWaFSYc0NCxY0WxZEzoqEpUzfXU2R6/U+eSoYLKCp0pPd62R/OOHEzeiEhyRpOPfu XTfORhQk19wz2ByiUCTROLQGzsmSFgsqM5oUs3tm7dTGJPcp8WPW92Mj+BjiukO4C7ensVa1 z9HHr+/PYWEH59HXHh5FNCZ5oos5VzojKb1798/9YV/+y2K1WhHhGak2asmEJf81AP8b6sQ+ nuCKrYv0S05z6t3iiuhwXgzwjYxIrlSR0pTLTUG0JuHcnj1XNGGBd16Sg07wzGjuh0hY01Dg jkmSNAIOz2Hy+vb19cfrqXzuBHxGMypZaF6LkDywnqWNUnO+GscUCV3SxJYUGQFOAZcLSRXN Iv/YcG6LKkIinhKW2TNlETykCowULnnMZUijQs8lJRHLZta9CSIVrUe0rLMXj2iQz2Llsrjc P04O33rM8m09Bfli9fbk8HQhPOUFMCXTqrkAvXsuj6++O5jfFwJG8YiF9mYzjhgGC3jFwKC9 mDmbzZHvBeo66T/hYDfNZoSkNBUapjcquhP3Gr7kSZ5pIjfepWsqG1eZI5F/0NvX3yYnWHey hT28nran18n24eHwtj/t9t87dmgWLgoYUJAw5LBWda/tEksmdQ+NbPduB2/KKPyO1ksXqAil P6TwJIFUe4k0UQuliVb+kyvmZfTfOLnhkAzziRrKBmx5UwDO5gD8LOgaRManBVRFbA9Xzfh6 S+5SFrcW1f/4WbmYwxvriVNrt9AuxaALWKzvLq87WWKZXoCximmf5qr/YlQ4h5ds3k3zYtTD r+XjGzgxk2/l9vR2LF8NuD6FB2tZ4JnkufDfFFoEUA9w2V407CNcCA47xzekufQ/v2q/aKTN Un6ajYoVKBp4FSHRNPISSZqQjc/QJwsYujS+hoxc30OSFCZWPAf1Z7kBMupZfwAEAJg6ENcN AIBt/Q2e935f29IXcA7vb1xQwEnjAh4deGOon1G1wX9SkoVeM9ijVvA/jvWtrK5t4nIWXd5a Xp2Iux/Vs+h+92iN1gbTKu0DqRnVKbztoraYfrcA+d1a1BocV/q/A1Q+QaV2Lah5Bv3fRZYy 2ze1jBdNYuCwtCYOCBizOHcWzzVd934WwpqSCm7TKzbLSBJHtnKAfdoAY7BsgJqDg9L9JMyS DMaLXDo2l0RLBtus2WQxACYJiJTMtpQLJNmkaggpHB63UMMCfCyaLR3LBALguzrblZLGH4wj z9UahwnDj26TMFsW9i4AnAnHkzDeg4F65oSZaBTZwYgRXHwJResUNMKAQNhisUzhANzxAER4 eXE9sKV12CfK47fD8Xm7fygn9PdyDzaFgGYM0aqAaa/MrrVGtbDXRv3NGZstL9NqssLYVEfU MfIhGsImS9xVQgLnvSW537FVCQ98jw/Gw+3IGW0ce3c2wMbgdiRMgcaGB8lT/+zzPI7BlxQE JjKsJqDc/Y9d07SIiCYY37KYASWGao43xGOWDNyJmp9uMNlJmv2UZGqkTqHBcVxeWL5QuRAQ nMJTEMBr0FrNBhxxAocFHSFrKEQRCzAOIW1m6HBoWMESDREVPXhKcUJmaoiPQaNRIpMN/C4c ddCY7vmKgsephwh4kiyQYPng4sDI2aeHR9ceMjeBh3KZI0z0JObADfT4hpM7GlPMqpDeBCLq blo7EMbDmegfL2XnUaVp3ttImhJRyAxsJURNRQqX8ekcnqzvLm9dAjQrAi4JDZ0tJgZLA0Uu Ly/8sZwhEJ+v1utxfAwWN5Asmvk9EUPDuLianpmDrcX1uTUivjwzu1j7Q3iDlCIcR5qjnzm7 ugqnZzcGkZ+4HOjA9O3ptHt5KicvT9sTKi1APZUPTgZM5KC6juXk2/Z59/TDIXCXqGK5pS+T 4OB1X24q+I0ffF1hvEvdjp+3pvjoVSznjt3NkxLMAaj08/T2DOeJEpSOWkSiP19aigU0DUIk zHlxMYQrkn52oQhZ3140rnz4dHj47fXwdgTT8njc/Q5eu/8+dEqTKgqovFvwaHxRzpBOh0FP P+LGilzbXpYFVwEMXziWKwUFB7De2bsxKu1bdAM2Cgnde3dCa1zFi0I47ljFpFZOnIOJoRYJ E6E+Xl6ee8JkybKQnRGt9ZmHCi4pncm+SXRpEhGCkjmzhTT1B0IVcvnx03p9RiLTJThV57bv D9gMMgM9EbHFGQIl2EgoV+kZCRb25pwiWmfkzAYkJcmS0ZU/OQC2oYD3Rs4wV+XZ+szl5Vfn 1CgmjcFHGEkVGZJV+unm4magScXx8FC+vh6OPTNpMizmvVtqrwXe9oB6nqfwoIhAK+yirqa/ X+sB6KY3aSA1OJV9whp8o39x4cIgEjoj4cbFhKD7wJe+XmkvnC37cC42SB70zpMEBsp61OLy ZghxXQqEoj9f5Szb9F/H57hLZlj+juGg/epxHlZtuy56+MNtIIv+X2QryTTVc8nz2XyUtiIF GnB7wDtjmUcJZ2A/igWGV8WcJsIJBEbAeNLksp69SgXdWCkdy18zTAveMEX58nI4nuzUjw22 Q6IhZ5epEgnTxZWbQmyhmHzw8qAhmfqTHA36cubhi4kweBwrqu8u/gwvqj+Oec1kMRMQTbfQ +T062hAyXk4/dTD7F6HEiGO7Bw6/64DrbDVAxFmxBE88sgdjjhiceV9GBm5frZqUuyDZneve rAhEfpXNS4p5PqPwVtwLTnmUY6CV2HGuSdWj81zc84xyGVF5d3nZDkvYLEsxpoRwxEpg5SQ0 SdkV03MMPkKxcYI/GiID/DqXSIKRw1nk+eywGx7HXZoRRfMAZIcXdGAsecOHz2PbnENM5eYN mmSg2UMKMZvMQ98F3ptEm+SgGugaBeliiAmUshHIfCIEzSKYPtK9a8G9ILSWmbPIIkwjLNJC ZI3LwHoJx+yv65aMD4Mdwy580lUR3L17AL4dnsq70+mHuvjP5eXNFO3bfnc6PsKRphg1wJ// TG8ub28+Ta8nR+D33YfH8vcPx+3zxeT4x7velOe2Or6tAYmRU8/GF3RNw97FmhDcWUcSBY5Y nvpqi5grLu4xgxVFzu5o7C8dOCLWxjTi8Ad4z+l2v/1ePpf7kx3vxMfyv2/l/gGinYftU1VV cdR6LN2ElV2m8IxuJ2aPT2V/rmFlypqrGmBDBvs288VPhy0WQSYvh93+NCmf356cPgZymjyV 21fgw77ssJPnNwB9Lesgony097aMhXdbo0tV9tls77nd3vBtq1wJp5RZA0z26b6XU65RasGE SSf6zAQ8/oRSp2YOMBQTA/crrhQU8IKawMc7Z282k6f0O4V2asm/vSqe6QraXwrBV2DWaRyz kKG2rhNyI2ZEpD3b0bBFcKWY4ymiMjGWp8/kKj/LAiozs1N7bHu1o5dXydju+PzH9lhOIhN5 OqnRmMl0RSRF45ISP8/jVRHGdRHASzDjfAYGr5lr4GPr8vtxO/nWbKMKgG2HZoSgldz+AVwl HMqN0P42CbRxOXbGDG7Z6XrZHh9+3Z3gJYF9e/9YvsC63idQ6Tc3M24UYw9mnA9eJUmdXP2i SvV59/oLqM0iIQH1VWCqGAisK/a/gKUG07cigz6XfiKxgkqqvQjw/bzwbJgywNVNonTOeT/G j1KC9TDNZjnPrbnayiYcC3Vl3aYwJDBILNaAP6Nz0Zd9otAoaRZvmorfkGAB+qJfKGyRMGvd aOI9ltlV7YcUqzkEB5hK781zNQ3A3QWnttC9SSQFQ0hQ12H2uagdNiL6PKwrKDZomC8xlQqc 0Qc3IUW1CppY32E6GfJ5rdjIU/WFNN1XnilqnxJec6LtgpWhMKuD0Ggaam4h6xY2F930UDQ2 YWRsbxBcBLerahWnQL7AeTEyuGAD9EhPRI/K0w3RowDPvWaCoCEWPqwannHqlXmDWJ+UAxYj AwzG1GCcOm7HXSeX3iOgaxCx/iPxjPo0vNmm40tzEfFVVg1IyIbnfXE1AX8t89ouUoYJ3FYR AH9Bh0cWgmO/HZvVlulqgCChW5ypXeHqxSC/3dxAxi37CUFi76hYDecZhFZ1h5tcrX1PWoPi 0C5N53z0kefKnjVxHbP5Z+qQ52YytRpwcSPTXmA3NS7seqEaWqGQL99/3b6Wj5PfqlDr5Xj4 tuv7r0hWH+rcNgxZbXrqUnJXmDuzUuv3JPkM7Av2Dobh3bvv//6322aJHbEVja3rHaC15QZc hJvQSEaCUu5vnrKowStDhsG/EuT1r6jxxQ3jyEE58i+sfHMWUCUpNhPYdtEU3xVWqLuURa0R 7PPWglLF+hiGeS6qpskzxI8OrtDegwNdrb79fkQ9j5Jh20o70hnQUI50stRovDUJNu0cDdaT V0XKwDXNrA6jgqWmxOnvS8hAl4IG2aQBT/wk8PzShm6BXRDePqGqZar9uShUqBgo6C85VU6t vGkpCtRIG1yHH2s+7bqSsFwwJskNFaZ6/JeIFE3IbUyyPzOOZKvAF19US2ATRqz6Z0R2cUGS gaYR2+NpZwJIzDG6PRIEXCwTYJBoic1KXtlVEVcdacd1COEdcBeZ9Fa0t2/Co6o5l3ftbJa7 nX4pGK8azSKwV27XvIVcbAI3/GwQQeyP9t31WhWqMqvuVXXpgycACgZfI2hxt/+2whtDWuHP 4bxjTSZ6bLCNdEe73QNEg7MRFhB6WcnGNiI37KV/lg9vp+3Xp9J8XDExXS4ni9EBy+JUo/fi iFILLeJIMF8MD7g68ulSI/Db+KetU4ITjDdP1quoUDLR97rRntX4OCHaszkEj0+KWPxGYSnw awVhvmNAb9MzEegu3wHxNLWz3UrPGDurynz5fDj+sPI8wygSd+U0kphtZjwyUXiRkn4IhNGN 6c9yBaVKwQttJARcK3X32fxxHLFw0LqD2XlJUXh6Cd/mYTGsg/ZGLZQvV97csHE3U4a6I5J3 1xef2/4QUyOB6MW4fgsnOxMmFPQMVkJGEpL+not7wbnfnN0HuV/Z3quqt8xzgiYGNR0+oDck rdjfqZKo6ZlqYg/PLLEEiwdBVR3Y2I1nJqkz2jU9y0UR0Cycp0QuvKpqXJ46FlvPRi2CKstr /INGAWTl6Y/D8TdM/g2kEURkQbUrIQgpIkZ8Z80zZnnk+AvernOxBtYf3dn0EVu/jmVqQlwv Fg4Jz8DXJ8yc8zNRdZCExDX9AG/sGlb1NPV1vgGRyIQzGfwuonk4BGKifQiVRDrSg9tmgvnz ahVyhuqSprkvtqgoCp1nGU16x0nNMfytfhvwtzlfsJFMUzXtUvvL7YiNub8RocZ1m/IvgHdS EH911eDAPRxHMtEvatlYDzMyj7R28hYKTB/Mzvk1LU2YB3bQ34bVNf7u3cPb193DO3f2NLrp udDtLS1v3Vtb3tbSh1+KxH4WIFHVE65AjotoJAzAU9+eY/LtWS7fetjs7iFlwt+nZbA96bFR ijkPsoIUt04TP0KzCGyusXt6I+iAUdVFn9lf1XVYf804IoiGcPylVLujs9siWf3VeoYMFLXP jKRC2zrC/BxcfwXFGQZfRtoPDD/axCxc3yRYT1BogR+gQrQVb3rqxowW843JvIDhScXYRz9A XOX4/JGHOIOE5x+F4ZjsgD3QfpyMRuI8NtZDqf3NzMl0ZIVhn2iNqDLbqCgU6WtoAPmrBwnJ ik8X08svXnREQxjt318STkcORBJ/l9Z6euOfigh/KCrmfGz5W4jGBRn5JoxSime6uR6Tiurb Hv+RQ/9eokzh10Icv9713wvcJDGxpRfNBfjnasV06NdnS4XfE444UbBliJgW4yYgFSN2Cg+b Kf+SczXuiVQ7hQh/lCK5Aj9eoaI/R5WFyqdFESXXRZCrTeF+xBJ8cSwffvrxCxt+blj7e5NT +XrqZRGN+ljowReDtbs5GNlD2C6kxSuSShIxfw0uHBHEwC+7JIazj/ZUx8Ui9EUiKyYpGAEr ZddA0B22oFhFcIt1BlR3MtggJezeuniGj+bSUR2JARllnoIV85++HohyQBOOoRB+uw9KeeTz u4Y+pFjzqr+9gMg19wXPLTVmu+DA5isndHHpLAqGuzfViyYvjiToUysPXeP4CCe3ZKEH3w4P ti8jYn1MMZwDeeyZIGFBxehnSwXWsGE1v3ngJGxupwcxKQQZehAyxIhVaaeQY2Pb4PbvUN29 e97tX0/H8qn49WT5hy0pGGO/nmkpEjpiHVsK7yfbnoVUE66OmX53RhiS5We4ivEr8nFu2tfM F4oX3VwrBlC/tY8XbCTzjFros9+Ch4T5HeOQinkxlpfNYr/CEIpgzWE8DIr9OJ872Ng6pasG Tqv8ITlsr/rmr50iJizhS2+gSfVcc540lqtfB6zVehO9R+Xvuwe7e8MmFqHTFClGGuBFGBIZ DQyFKY3sHuq5J7xNDnTBfFW6qjpZvSmgpU6FXcZrIEWK5S63nEayiGCd0b9HWa3V9qSYv+tj sOe2G+TpsH00fSQNw1dF2/rWMHoNz6Cd0PnLRlrqwmrV9e6ro/SVQjqiRiiGfSv1TtuknqmW YIHASS+2/MM3GUk25kvVBHQpR6KeigDNUj0NKPt07AMnQ0bMJ581sWkKOZMrM4X2XPPe35eB X3QEdgMIWBgnl1n9Ltg0HMCU3S5Rw9LU/twWu0zUHC4xws/oYzffj8iYZmGl9fxdeSOi3vZZ P5pX5sh+IMNU6aCYMRUURPo1T8rXesQNVwx1D3aSBbn/ppZ0bQTK+0G51e3dbM7ShhzUUzj2 ucos8wppqt2Ko47M9Q9L0l3Z5mV7fO31jOEwIj+ags/IKnZty+5zQBSPW6g7ZayGUzoUcPmm 9ddDNSg3Nfs2G89fsfXygPWe6ptefdzuX+teymT7w606wUpBsoD31dt4k37vFIMesW5jCDaK kXE0Op1SceS3biodHWQ4zUf+CghEtuU6eFFVqDKQAknSD5KnH+Kn7euvk4dfdy91a95AHMJ+ C6+F+4VCoDymU5AAH3tAIIBbsUjPi0uX6z3s9Cz22sXCtgp26YFN+8IHRx0Xu5Evqo3QBgpM llcWz3CvqhRtX14wnKqBWEaqqLYP+KXMgMVV8wSeWIxGD+ZiE6IHx2mqCX+xZvXZcPn07f3D YX/a7vbl4wTmrPWPdfvWeviheJyAe9jnaYuoa5nmY3J/wdwl5yPJHXPh4VxMrxbTG39uEkmU 0tOb8VehknOXLebnsPDvObTREFNkWP8pRbvX397z/fsQmT1w6Fw+/B9l19PcOI7r7+9T5LS1 W7XzxpItWz68gyzJNif6F4m2lVxcme7sTtemJ13dmdrZb78AKcmkBFB5h56JiR8piqRAAATA Mj4sydmbnxhzXgp0Shyfziq2UKRIY75GVS2NYwyCAb0+H6UfYiDAiki7qPq0LqqGq5WdbffR 3Of53z8DF39+fX15vVMd/of+kmAAvr+9vhJDp5pM4O0ycU0o7XIAqThTske46Y+HZ4rKW0Gz 5AGB8U1uRB8x70bFIHmOcsdo9vHlxyfy/fE/IHm4W01Ec18WmICM/04qcR0PhHpgViVJffcX /X//rorzu6/6lJLZHXQF7jm6mWtxplnW/NP+Z9xp07vUKFTWj5WyrYPcZMkfiOgG+vpwihL4 TW+4gMvlPYUxnncy4ya7guslU26XzbHMEuuIvAfs0l2XS9Ff2COE1D1s0TmZs69HHLJTakfI DS0jW2LH//gIis+ONC8l0hDVS8s5BKS4UyEkk+IRqOjUIOs0NRvojtlJ0n25+8UqQF8Cy6IH ZZYfDPy2zn7hd56YOkO5V+n36jOKOGk+6j7q5nTqKe1zizk9eh0bpaWxJasrIup37l+U61lx yjL8wdcCXbM0lCazVLlYKCfS/wunTeswCMTR5tYOltQ73iVNdXFHbQ09Fba/aecwkE/3a0WR lMko9LZmitAEo9WqexknZ7o7mH4GpwiNJc7+jt5HG8DPeXrXGJGzvWQO5VfGVKRoMqoPY22u t4CbbQ4smNIboyTwg/aaVCWfu0HGmbDinZNTnj/iAqc1h7jZLv1mtfDYFpvGisUDXpaVzQlt wvAFCC7dW1QlzTZc+BF3lN9k/naxWDqIPh2YD4JxA2z2KgEUBG7M7uhtNm6I6uh2QZsaj3m8 Xgb0kVvSeOuQJiEfgpEBKaRaEip43wNrzeOvaxcMOTTUYjKk9tok+5SxQ56rqGBEhtgf8xHt tZdWqHn8mK5iTYFp9+kzvBudPlLs6Dp/gAuRR+063ATEmHSA7TJu16apfihv2xUtoXcIUNeu 4fZYpQ09ox0sTb3FYkV+j6Px6SLN/nz+cSfQEv/HV5XB68dvz99BVn5HhR9xd68gO999hi/3 yzf80xxXKa7jY/khQO3/3e50BWeiWV5ZycIECZ85/sIT+QjtqNXUuVf8/g6Ccg6L7C93319e VS5tYvGcYR+ZmKN6v1hHE8bUxEdGskV/jlo2LaaXofVPk2NqZROPQDst5tbbflDQkTsvLdWh jgSK75J0JsUKxqeK1RMz26MqUYnD9oNznOpB9+i79/98e7n7K0zjv/5+9/787eXvd3HyEyyz vxnOst2+01jdio+1LqVNgUMlWg4eajM5JXsyczyuXgv+RgM7Yz9TkKw8HLgzIQVoYjykHwfs 3oZJ9svd2u90VRCNJ9NiQ/bxHEKo/86AGsyjPg+B/bVhMtZoTF1RzfS69uh1JyN5UbnW+OaT I9/uaL1bQg/9ZdEykpZWlJJPfAwgHMOiwZ3f0EaE8X0UqZwYCHZlkXBLRIkoJAUP2w+n0QnT jWE8qBhch2unTDmrShSjFw4tfVQs6dxyFDzEYE5CdlGdnhJaej5wJqkobpgtH94LP8mSOX2U J7qDUH49q5lRGdKZ2mdOKi6ynAh0Tr7AzvXl1z+QoTf//vL+6be7yIiGshT3bqF+tIpxpomO BdJeXue0SEDzjrIoRhugneS9285kw6zeoXYePZnRJiYJllYhRUQTzYN/s/xUl7XlBaZLQPUJ QybNlFF9V5dREpeUG4qB6swJltfAzv6lDBLHi/LSIzsaR2dxymmSqOuT7Z3RhNs/FzOdUl7/ 1qsfUtAqxTB9lBUgBwVgYZ+3YUkXqtafch21sxLNOeiWjZ6lT102/BvXUCXXosKck0UE/dQh gcxhm9HWPqqjhNTsDZBOWkCO7VE0IM/HdgTEUbTBMfGvh5EHqAHALS7lydVixSqzRyaYD8rR PZH2iEDieDyItzlFl9SyCxlEjGPjXTQ6UB7VsNVRvhAmCBBRUVrxs3nWNpfJ9mSS93TCOLNd EdekH8YIU07WTxH74S9MCkggtv4KqDMfjGq5SXNu/IpIItXdCPxZl0WZ06utsNsW1/aQfmjF w1oiY1qMtivQKjAcnXww7sqY9tF8/EMcbfDT5tSUhxiVMm6N1/nsaqzhdUAsIztUo5NnTZKa KG9O9klE0x52KftBmXVTMku1iSizqN7Dv5SZ5iYno8OsJmI8S20l14JUS2mmkceirJpHO2PW Jb622ZjrTOuehcXW4ee1PgrG1Qap6I4YjyJYp81exFNhhwfpkusl4BLbDoDl3NelzSaEISVq xWSVDaKwKK9arjV2Uyzc2fuhLosxgFhwC1ZjhNxFnKdc1/A1P7WOIx0ThX4rIA1/ANgFMLSM YKzAM7uKwsDiRGdGQUkksC3bLmaqwBBEmguUmOOW4Y0ytTgc0BXoaC0PbfUU4g7LJ2fCty9z nIGql7ISzKh3pFWIKE94Wifl8YA2DDfb9Y4FwDrYtG3roocbF72T+ZwNrMLQYwGxAImQf4NO MhvTeyYAgmD3dIs3VOEy9H22UaTLOPT4XqkWVqGbvt7M0LdMt1VKx3GnRVxlp4ZtUUkk1/YS PbKQrEF51Vt4Xsxj0KmboXXyzCzdWxyYF9NCyfjNBjGEb3lASH5OBpmDRehUYBH/BpEMF0t+ NT84W8dUvjK9d9DVFs7TYRt3jgLupjxRpt6ipRkIqouwfYiYf/gZtMymSVl6t8EcgIv5Nf6X nQKY33tQqbYBE4hcVcytN5mgjmkx47YKNlJOltZOpZJxR5Lm8Ei8BwmekXOQXKWHqGE8DJFe yyz0mBOYG50+IkE6yPWYupqlwz9ORkWyqI6j3veCQhYVtmTRhWxcEsq4i/BBhU9yWKJGxIZJ k7aVQR5daQDlccukzUbK9chMSxzV2dZjzqyg6vqeVquiOgh8+jQNankLui+XuFiuWypE2H7x kVNLJDfrOFhM7PFE3X6Ds2yBK7qjUO44O1Jes5y8gsQ9LdiZvYlFE5f07Kr9gSfVoLpbanuJ pyX0BxysurT3M73p9oPbQzPMxyhBi7GDVFQZM9YDuUEXha/T4kqQrfErd4CwoSUDQoIigE7w NK+7iL1I59ZWniYi0p/crSYsr4VHR4oj7c+Fg+ZTISfmE+uoE1xvG4v0W1KlsKrp3cuuB/wt 3BAVgYJfspnuTIG3fny6TRIU4RhNCnCqzUnri7kwpb7pbtWNqgKHbenxquUlDOdeu7HMCPDz uvXmJtXOkRBfPH92eKX1mEvm+YFHsywgMXsGkLjt5JIxhxlmH54ek2iygT4l0Hu6K0jyvPoy 06xSMtLCNo/eAskunFNdv7PXGNCuWmQkkxqUYmF7SuuT/t9VMpnLF4yk+us00vJvd+9vgH65 e/+tRxFa14V5rj4G4jqvMjoQkUo3ebxJyOT3Z2urgJ/XauTX1J1Kf/vjnT3gFUVlZihUP1Ug nKUwqNL9Hn24Mjr6RkPQ/Dzyu9IEfRvqPZfgVoPyCLTedgwa4gde8e7KL3gT2D+eR/4+Xf0S 85TZ0b4W4JfyUffOKk3PZJfT84iHGKPJBYTpmvfp466Maut0ui8DuYnelw1AFQQ2t+FA2xmQ vGc8zQbIAyhxAcVxLMRmQb7Kg/Q9xro7YJIuMLxeh7QrzIDM7u9Jv7cBoO4roPqBBLX0mJj5 ASjjaL3yaK8YExSuvJnx10t15oXycMkImhZmOYMBbrNZBjNznce09nEDVDXwYDemSC+ypHnY gMFEAbhDzDyuMxfPgGR5iS4RLcXeUKdidh3jJV20K9ZtXnP/KstTfBxlMZoi2/nvJo4qz2N2 0AG0i2mOb3ArBx2YFaafodURDVF5Vyhzf0fGt21AjzYT8RqF6IeDt5UK0z/BpEdJswlXVgoV m7wJNxuyfxMYvXxtGM0YLUztgSgw9s6igMohM7cPA0jAVS4/8AonYDCijQW9Q5vQ3cn3Fh79 SU9w/vywoB0H8wKLuAiXDFuy8I9hLPMDd9+fDZWyqfjTwSl29TFw8lhEVU1b6k3cMcqr5sjd imUi05TJlWWBDlHGRMJPYeiUKyLaRGCh23i5YM5ZTNz+9IuQDa0+mLhDWSbMzmENjUi4GxhM mMgELKP55pp187hZ0+zf6t2pePrAbNzLve/5899NyoniNmh+pVwiNL5fwgWjYEyxnAeniYSd 1fPCDzQJu2vwkUWQ543n0fuQBUuzPZoNBLNnWVj1Y34h5O36lF1lM//Wokhb5hjNevD9xqMt ktYWkhYqy8D8LCegQcigXdDilwlVf9cY/fEx6EXML7IPcu9LItUp1EdWjzIalzleuc0kN5v0 VIDEPL81wCQq7jQ/R4D0J97ZLI4WwKe4+e8ar4tjEomZTEdkKZM7z4Y1HxrvRnr+cn5FNjLf f6Rzp3ofxSnvD26B23DNpOuyhq9q1sFiM8+On1K59hndwMJNLoOip6M85p1AMd+meGgCRnLt BFPBMJE6F1MBQGnFx+fvn1WeDfFzeTf1TmbX8iHK03HoxeD/SDV685MnjBr6mb89f3/+9P7y 3YgL6kdBGvmkrHsYtZco5q4oGn0fUWMiewBVNlyh1FGOFxJ9K8Z8x4l18wWma92G10qamaC0 fZ8tHKK9rFGOMrzyQ2d5YVyBYY9vaLWku7cb9HW6IgbOSdJbJVN5JDEjSZdSvytP0vMo6g9K 7ke3/nUR79+/PL+Srgz6tULfNlPoILO3339ShB+6ugogICIuujaGS8TxziI8gMWjCeJ1Onh/ mEOUTqfYolaJFZtk0WAEIyZZiYa5NOcOAnLLkvP9sSD0Z95BTlEts9HWZSPsNG1GofH+k+6L vWDcu3tEHBfM8fKA8Nai2TBcqgOBdr3mbi3vR1y7N/8iI3SNd456B52DiX27bhmbVwfpzrer ZraxqGaSimjyvsmuWTXXiEKJYp+l7Rw0Rvc4dVmNOIgYvlVaHuonAZMSxSRnHn2towWSx7LO Jta6jqhud2BOyuHTuFa1KCTNgI7nGJOe0jtXlQtQJ4skI3NkAffVlwJZB5N9ocrUClsUfR3p DTY53cXECo40UTKGfxXNbGGVZI9cFNh0DzOfqbtcn2CCbpdNTngjSlRTa7+Z+Ql+XJWhClZP aRcPF3TeBhhLjwBmkmkinU6hjRSd20vtEPaDouxQ7m6J1rDTw7Zv3717eyl9R++vmJSpS6Ly 169vP95f/3P38vXXl8+fXz7f/dyhfoINArOr/M0agv5+davz+qL0TF8DBZ0V6PrL2AfUYKAT IeuPiIgkxVyQKo+aM9EEYtM8PfvM4I2/pL7sqrMjiuIXPg0VYkveXIvkKo7m+1ffLxmREYiN yCUTgoNkzRAnCzT9Exb478BGAPNzk+NsP39+/qZW/VQMUAMqSjwsPDG6gupnuSvl/vT0dAWt jEnvDTAZlc01Hee7MAGieBz7EajulO+/QQdvXTaWoRm7wy7k0cjJE53TTBFxMTpWF6aYY81x Nwh+YjMQNhrV4CFGvSVlfdUJ5G7svuJP4VUOD5XwyhAusCwd7qNBpSx//oGLIR6yzVD5elTQ o9q7mQdNmLYu3GIq1ohMHjHU6pOMTGq3OtgyLQ6cezeSXV7NRroTln7jHywE5Kgr7vyubCks j0IiSg+uyqX+FFh672nIAkCUC0WzXtB6u0I4BEZcFFyeHyS26MfBUyeMxyI/PRYPeXU9PIwG 4LYA/3h9//Lt9eVPWHqUVoG9O00ZG1atvr+9v316e+0W8WTJwj9uJ0Uy5hDBiwD5NPWIklm6 9ltGGMWHsAykqXJ6zo9kOuzKzkIMPx1eUYWsEDEZFiz79PpFx+5PRxMbjTN1J+G9ksfIxg2U UjrnQOPFP/Tkn+pKuve37xMZo5IV9PPt07+m4hNm/feCMMSrGlUiQtN5RLv136GTAnsLgOFF 8vz5s8qTCBugetqP/7VGw3oS5moI/Yo5KJ5ix+eOfW7GyZsNLyYKFNqNGAVRwNK2fuNftiqP W0dXk1o0mjIRtsxymB3aqjaAmLjrnp7Hlb9sFvSxWA/CK/GYKN4B0noBoy0PEJnv3YgyTrOS /lx7CCYJh1VSixOlanRXbuEloSDdg5SvxLzjbRrwtxU70hWo5FQV+tnq/FWB5/eIct8LkKMq on4YB+zpKWU3DNWbySXU5qVbX5+/fQPxW7VACHGqgc2q1SE6/DOmG7pNd+2cCpBcuDsbtOAs 8X8L5ohUQfpUu07JWCNr94Adswu9hhU1K0EVP9N8TAHyXbhuGJOyBlQxOi46ZizKoyDxYQ2W O/p8sp/YmHH+UHTHbqroT+nZOad5ct2PD7LsK7ao1TOofar05c9vwF+pVeXymuoABZNYQE3i BWbaMU3KB4exuN0AvmN4QM3aBowS1QH2YeCaaFmJ2A/Hi9YQ1UdDpD/MfeIYuqME1XO6fPtp mdYdBJyZ6YCP3FvTrL0frqU3co+lRpw+mtWAeLkMQ8eUVKIpmWwvekHXkbca59XqLVzTV9R+ iKASEq/e1SKo407DDn2i1+GFfteqvKDl5Ew5XWoaZtgzDjOMQq3nqIJyv3dA+iZGTzUQPRNp jsmFkbqMKhhkcF8WTNjOCNhI5nodA8ey2DEI/5ScHdQEZzL2t0zIjYn7aHsYUhRJwckZBtLB aKewYfZoOV5j6lRl5WavQMHEeTmHsh6N94Vkj9OVoMsdUn+FkZUIpb+3bjeNkhgvIoLdnVYp VSp8vhk0QGJQLDL7BePN0jV/TRp/w3AHC/KBVuhF0kOy9FBe0zMTqNOBmh1z2Uz3Rhy9r797 8DfcJt9j0Jtls1i537kD0a/U9wZA4ZbJONhjsircMB5APYT9aG/PwRwL7rnO5HLNBDj0kCSV ygKqXm61ZhJT92gYypUX0ENpYvzA/XaI2SxpnwoDE8BIuqc+3y1X9KP6STtEp0OqOdbKPRS1 3K4Cd59OceMtGHvM8ZIznAmT0+QRpeddIryJqzTOs/uSSWqrgVCUl+ixPFHWtwGjT3PUEcc1 LdDTNSEege7ISseG1qxLcXoAra9cnt8//fb57Z931feX9y9fX97+eL87vIHE+fvbOKaja6eq 0+4x10N55hvkU4s35V4O7fFiiRPRHS46MU9C1KhDOkG4qdf51l8sSJyBgp1/2xKzrCWClUm5 rbUuk7OzC3t5SSQoYW5UcnHTMUPmsp0Zkhx9eH0P3bsmMwdC20+/Pv8AxWOYw/j5+2f7Dp5m V8WOcWowBrhsGrEbnYmTkYi7OI9I+G505bKW4NEK+Y8/fv+k7spg7wHYE6nmoSyKZQgsgUlq h4BmufFoptKTfUZKytWODnoXk39W1Y+kH24WXIY8BRmM8UY6kX2XIV6Zt3VU7IR0zOIkpghN Ho/HAYY22C6YHVQBkm2w8fILbZRVbbeVv+BdAxGS41Gsa6xFzNjwcnXRLGy6fA+RHPisud6A uLqoIPQO0ZPX9HwPZPoVOjIX5q7IWcE3ncfeEhOEuN6vx7he8CjWK/jUcUTpPU5iMnF2JpAM zXPWAHyCeGjWjKqP5Ps0d9UOwyrnctzd6PwMKfqaMVbqRQhSUMAEZnSAzWbt+Gg1wDGRGhAy N4AMgC2/UhQgZMLbOwBITs6XCLdMeuWBvp2pv6UNRoou10tX9bTY+94up9dY+tSiwYfJWIms 2kk9C7wQoORc+BAC0ggT2g3EKt6DfsQcFyhAzpoMVeMyWDhq13Egg9BBvw8Zi7yiFoFcM4Es SG/S2JGwDgFitVm3M5g8YGxHinr/GMInwvOicbaxm9i0a4PFdDezK8u84vY6rbCPNycprlG+ XAYtOmBzcVAIzKrl1vHNoE7G2EC7x2S5Y9VEWc6k60XHZm/BKE3a65mLN3K5RKtOKYCDlWgA o0QNAN/jv1V8bxgZx9baIYI1z0+6pzhGFwHheuZNt8w4GQD3/j2AXPskgGCLWTKBLZdstVg6 FjEA1ovVzCrH7AKbpRuT5cvAwUdkvATt2DFgm2y9bplL/1T99TLczAC2SxfgIW8dSy8r42MR HSImOxxKdLV4KovIOWM9xjVhlzxcOWQCIC89t9jTQWYesgwWc61st7TdXvFuFWiQbNjsESYI JFHHLjC05AA1EqU4Bx+fHsn2RxcupWnIBpIeTlkkS+smy6GQTyIyIHR2tXOZyeiQ0o1gzomT 9r1tTpxXww2ON6E2Ffrhf7ACSIMHjuncUKgFhgxzM1BJsGQkImNUoq3P8LARiJ43Y/SiIlgG jC5yg7FWxBtENNl2yYjMFmrtbzxaPbvBcI/dzPVdgWj5wQSFG0ZPsEGzY5BpVvkB1HpDs7Mb CtWDgGF6Fipcr+aeqFCMO7yN4o5aDFRcebDRz8KqgEvhYILCkMmYYIIeNltGCzJQoAfMLuVq f3pKuYgMA3YOw8XscCkUc3QxQjFSkYG60J4LN8R/ObuW5sZxJH3fX6HTRk/EbIxESqQ0G32A SFBCm68iSEmuC8PtUnU71mVV2FWz0/9+kQAfIIkEFXuoss38CIB4JBKJfPD4AHFk5wriQmJe enNrR6C2znpuygvpZLPyEFe+Acxz3NnuUvIh4vg2hiGC6Ai2uqttm/kvPY1to3rM9JDTbmwQ 50teuKl0Z70S8Nv1y8vT4vn2bojjo94KSCLT03Qv99ulpJOUxJkQ8E4txLy1Siw4iZRi57oL XBAIgzuP42FxByoQR8A7UFlaFhD1xeTxcWIhzepBtB/16LSOHdOzxjeiq0NRSHiyXHoqjJIC EpbKkGnpgZqu6mUV0TnNQtqNqRxOU8ZG+XngXmzohL68zjbJFNFSNc1mKNV8IM8pNYXdachS n8qGoc2g7oQmDlwqN1WbaxA4LQf69BamyeUGmVST4B8Ql691ARj0R/CoUnS3WeSx1u6ryBn5 rPXPDeMun4uPyHJuokBOc5hj7DAcsae355fX16c+/+Xilx8/38TPv4sWvX3c4JcX51n89f3l 74uv77e3H0Iq/fjbdIh5tQ+Lk3SL4TSmwfRyAmR1+vZ8+yKL/3Jtf2sqktamN+mS8Of19ftV 5RL+aE1Zyc8vLzftre/vN0gy3L747eXfo55Wg16eSBUiQleDCIm/Rphkh9htkbvoBkEhGNPG fBbRIMgOrRAJz13s4NQsAe66iDaqBWzctVkA6wGx65j3vqah8cl1loQFjms+bCpYFZKVi9y9 K4Q4f/m+rTEAcM2STcPLcsfnSW7emRSEZ+ljvS+jegRTSX9D3s2Y6dTghHgjMzsJOr18ud4s 7wk+Ko565j1aIfbldmX7LkFHLvY7umejP/AlFrGkmUrx1jv5nmfDiM/3scg6OsLW++Up36wQ yUFDINr3DuFjd/gN4uxskcAQLWCHmXhoAFuPAsDaF6f84jrD5atNFuBATwMGZZxu/gqR2ZrF eXE2Iz6j1XF9s5ZsnQ8SgQSt0yY1EoBYR8yV4SIqXQ2B3KQ0iIft1j7ljnw7CiyqeuTp2/X9 qdlMTHlU1evZyfGsrBwAyHGrBXjYdVIL2Hg7Wz9lJx87S3eAuUb6nnWwoIqZEnb2Kk7c85CM oA2PKXfJCjlNdohyhcTd6RCn5VwZJ3stvFi6yzxwbR9T/LZZp6vJnInFZNGEVvkskmnh+/mj rcCXb0Lo+NcVUnZ2ssl4V8xD0a0uopjRMcMNpBdx/qHqer6JyoR8Ayo/pC7Yv/yNczTIomGx kGLcUISCfJlXIe29XW8/P8ZC1nSZ+a6VpyYbx0fO7Aow0c1q5t3/DzmwM9eeNFyzc56+oeRc oBFdHO+s9SdU1Rc/P37cvr18XBfhab+IWrm37cnydnv9AA8oMU+ur7fvi7fr//bSsV4BVpDE HN6fvv/58vwxPQJLx5loP/X4ZMmlZnl1mt5WNICwGAYpgSNVLsTyi9XlXcKkxwzig9gDhHQf IYnaAfSQ8MZFXoud0jwXH9SRDCWLdiYcQj3mmTjZP9YFjUzHT3gh2kPwBZpUKsLNsCpFhBjE JI6z4NfVcjmsTgFiSqRbG6/5KFrCAAwxCWpxxAmNZ7ZxRwfU5FAMxIM4YYKxFNY5A1p3YGp2 /cVtcioa1KxCGgg5yizktBDOYsyVoYWAGy4ceHZb8w41wY33Qm2VY41X3K5ITNs0lH8M48Bs LgDUhMSsDhnPYyTaquzRTBxLibFlesWqJUG++EWdL4Nb3p4r/wbe2l9f/vj5/gQXL/qivu+F YYNOB8scO4kJgBLp5THNcHIVIlkSBU18KglN3uSSODA8G7xXBKQAa8VjiPjWdqD4FOJNy7AY 2UAsGdSMksGbOwzMN/xA56XJ6xAoOUklz2xzlX5/ffprkYtd73Uy0SRUhlCyuzz02PH3TgAq geW4QxWNQYiiB/Fj5yJ2iFo5KnRSHYc7zA5ea5XA7Zfu5hNyjhoiD+uNb97Ze1xKxRKPxbFr e4wR8UsDZyfI5lCnpbtbIhcaPTqLWUIvtRh9+DWtLiw162emncE96rnJXG9o6O2WLGvx53rj 0AixojG/SMhsNZQ9ZPXaPZ+iFWLv22PF3pvXMV+6/skPz/MtYZDkkV3ENPf97Q7ftBs4aEFI cNl4G/KAsxkFLnNQaS2dbVlS5EJ6Al67SUnJXeB8Gq+3TwKsr0V97ewLFh7ocFNUZXaUwXJm bej8xf795csf0y0kCGWuU5x7NRsIaEVTPOaMFADEkhewEAkLI7ckiGV3ZLkQJcowv4BZ54HW ++1mKQQ1JCspvAebaF6m7hq5GVLdUJCQ1jnfelam0aEs3ELs/+If22IGkwrDdkvkeNrSHRcX IpoMvmrccO4P2STF/4Hniv5dLZGjpoRm/Mj2RJnY+BbxZQQ0K0QMQLNGVe1RdRnla0Qz1CB4 6m3ETEOuodti8nDl8OXKrBeQ27G8zxJLnqQXD9PijoFoJq1WTAONy2bMwEfrcbqYxlstvoxo mZITw/kTKYL8gO/iyYVHZi2zFJmTlVO5yFyFWC5SWLxs3Y2PhGZtMGLj3TmIga2OcRGXJB2z Rga6xSRMsFb3ExLvtwEVNCc5FmqtwQjWj9k2aBDf3eCsK48x3YlkbAxJRtdw36jIkIgtalKH HBf9pim9pnJAAWFN5Pmt/lSx4oG3XD56f/p2Xfz+8+tXCJQ0Dn0qTpFBArk4tP1CPEuzkkWP +iNdCGvPbvIkZ2gWFCr+RSyOC7EdDEoGQpDlj+J1MiGIPjzQfcyGr/BHbi4LCMaygKCX1bd8 D6nRKTukNU1DRkz5c9oaB7d/4mFII1oUNKz1oBniOcTjiSEo9eApeNM2R1A+agFIxtCwkqXT PDKD4fqzjRRmuAwWBdlTbsB3rELpF2H+yok+BN5IeFAh4UwEGTsfwdjtBY+5lOsNcusmII3N G0ZO2mTc6OfI3RClcvGxY8eAhjsbF4Hszf3T8/+8vvzx54/Ffy7goDzJh9RVATJ2EBPOmxzH hk7tpsIA2M+Lnq7Oi+PjYk9vHKOtdeTnxPyyTAV+xrLeaI0I8+0WkZZGKERB3qPixPXcpZkF jlDmCwENlG83iEm51kGY9Z9WzmnjLP3YfGruYfvQWyH+JFonFMElSM0usFqN4y5vpt/MJBuY GIwYR0MC5UHL0YPb28ftVTCFRuRQzGGq9wyrJHmcRiSOCpLQfRUJbnYXsXGjhgisCSkGMQBM 6CJT25B5mRqLb/hqSR7oNNlZq/u1f3QXcTo7aNwZ/qrlsVjw49RMOB3IyjNSgrgqHWctP7hp xUTJ3Dl6ZlWquSHz0R8qkuzwUR4kwwdhQlTkwCnpNxI8TJ80cdlHWcqAmnEO+lwD+2hq7ho0 eA3ys4DDobRZMqlmANTYHtVZHNZEBkHUiy6yoI748OEJnJYg868gRnxcaU9FI/zKtqHWVrJR 9FMFFk0mky/59tQSSj6GJYIWSiDcHkpNypwgkfpkg1Qs7ZW3QS44ZRl5tV5O79KO4X9Jjaiu J+2e6Z91hOgakFczzkAh/Zn+6q11Oim6yJnkx7fra6urXfwCzrUDyyMJl7sSCXa++bbJWMZg boyCYsoyfTcYZbfQyJCoc/QGGLjhhkYtoiIrRPPTIgLCyCcrwouwHEMt4sggGQQK2Qehg9nI tkXkmXkf1uhHO6LMUkM2hBHoRMSEM0l6clyyYLgkxYMu+MqY7wznsQBCiC5Q05vLblyrxzV0 j5uo90aSqBojcY6+xbm1UCAbCoZgRUAlye7gLJXB1AorA/xdlmtLEZfNTAlSAgynq6HvFcwR eYgrOd1uljA0mxViIjZ8gTko586AtT8UmWTFpZbsWPKi4Ji3BYg/ggmv7MNWj6pQt8m3oLEr /Hp7FwL39frx/CQ27CCvuqve4Pbt2+1NgzZpVA2v/HPMm7jcWAR34lh0fA3ECRK6Vi+oEiOA RIHVi0L0ngNMHiJBpXUUvadVYlKIs64VBtfW0PjK7OJkHYhhaTDSR+Y5q+V4SA2VWjZfmFfl Q70vgxPHWZlcOlkEd9IxPdF4OoXK5OX5/XZ9vT7/eL+9gZwlHrnOQrzZmITp57L2e+9/a9qe Jm7K3Nc3MLkrgQYhkQF47nllfmpcyig/ELQJny91GZqu57qRAc1kt/c2ywYU7KakKS1HF1u8 RQ3fwUJSrXzLNtuDvEn2RRyIBpbWgKgZ4wC0Wm3ro/lKYIKbbd7DeoVYRuoQxNNXg6w3s5AN kjRKg3hIQjAdYtkPFGTjIkpPDbKZa24cbDzEjabF7ENnO4spax7gMp3cM7m7iRHz8SHGXpXC 2LtYYcxq7CHG3oMBXzvxzEBIzGZ+hSjcPWXd0SbkWlrHIJ6fOgRR/Awg932YP7/wAXa5zC9V gXNXiJGijkFuIAYQszaqh4CN/0xNF2eJ2aC2mJD4WIa/DmKTBwFAub+amdQC4sx8NOVbFzEr 0CHO/Cg0sLlBPZSJN7OFsDTNIJXIcmatJeSy2y6RSBYDkLvxzbrIAWozw+8lCLn7HGB2iMX4 sE0zK1LVZp9rCRcHk5VXn4OwdcSz4sWxYeUhsSx1jL/dzY63xO3waANj3NzEANzWu688wN1R nrv08DgGY9w95YnOw4M4TIB3lLhZOf++p0CJmytPLBkXCZPQQcqNN7PcAYKEBOnE9kMZo4lu O5AyViDifxaxGfGYsyJq5Ol5OXReiOY8cTBPfx3jLfEAKWPc3CgJ3Hozwx14SbDo3zrEoiJU ECaOtPYjSkm4s5mRHSQGieKmY/yZXV9g0NA8OsZHvE8GGMQkQcMIOdfOp6XbIeIl1mEissPS zXeY3l1vdvR17NyM6rDuCktMOEE6l/X9bZDo+1txVxvC4LJCzJ86JHeJ4/i4flSBlFg3D5o5 FEkvyRkB6JxsN4iFkQ6ZOapIyHxFSCwGDYJF0NQhQwZuALgrk1JWUuzMByAz0iBAZpiPhMz2 1xzLkBA7xwAIElNbg2yX8+uigc0tCKnkxS4mOsAa6f3djKgmIbOfs/Nn59nOt2/xAEH8EVvI Z6m72nk5YvWoi6A+4rHXYUrPRQJvDyAzUnrpYQFiWkhKqu1mhgMBZpL6woSZ+XCFmdllcuKJ UycZldReUA90bqO3lWQUYIEbAaNkoUNB8uMEqC4FWWjwbWKDKwbxZx9avixoeiiPxhoFsCBm xVl1NBp1QdHNjVGXjO/79RnyvcILBmUjvEHWJR0nd9HJQVDJHOQWRDHWc+vUHDMI6qjMLIdK OkcSzkpiBfeqKHlP4wdmNnJQ5DLLayQ7gwSww56mNkRwpAWSDkGRmfjLQs8KTiwfH2QVFsAO yAkJSBzjxedFFrIH+oh3YCBjWeBk0b0lO9Ga75fYKpc4FeQDpYt5fMjSgnF8HlBwl8M7msYE H0gIv5GZvQAU2azRlLTPon9Q6oEme4bwA0mPkORSQDxmcUmRbMjwbultXXxsRbPsi+7hEe/M KpCpqVD6mcQlYjUB5BOjZ56llgIOjwVuQAQABtFrcGqJ034jeyQKN1DLM0uPlqnwQFPIGFda mhYHeJISSUds8hQtzU74bIJet/LShIhhSbLKshASMTaFpfkJeYxiwvE6CqqWG14CC4oMEhrg iCwV25NlYSRVXDL7/EwRI3pFK5j5qhKoWWFbNzlJIZ9FnFnWZU5T0ckp/oE5LUn8iGREkwDI sY74ZEq64EfSYynAuZ40xsOrKMCU1rJIiiwICP4JYuOwdVPj2oXTbfuSjCsVs9RSfEkJzvoE lcZgXYWYPUtMleaxZW8vsCynwH4KSlPCLTsXT0hR/pY9WqsQWxu+lgWD5NTCCsCh54B3QXmE JO8qUzLOp0HAq3OORLMHhBN9pgXeyjOx7XxnxpLMwmsvTKwTlAoVW/vv82MoRD8Lp+GCG2dF fUQSZUsRLs5HFbQmAwbBtUvjZpSzlS3YRNbOmXkQG/gkQoCWD06vps9xP6i7Kw6u+I/jqvSM 4vprncGgXoHWruwYsBrcD8SJRDlB9CZMWmy54UPIpzyMTw5PY7DaxditNNKLId81Msyq3DSd 2HJr9CbzKa+PQTho0bB5JE0FTw5ondJzY3XfOcAMI3VA1zdWR8PRDWlExM5Tg9014+X4U3HT 2AEsK/HOELT6fBScNWaIK1CL2sfSpJyX6PRuep/L7pfZm/geiQiozCnLTBx2xN4FdlwxefzV GZY1Su/UL4bbx4+ZTOtyGD3/slzCIKGtvcC0GwE0Mm3I436XzwvI9SS6oi6xD5SwsoTx5+Lg ZC4m4iaLaL32SVLiAdGa81WO3aVyVstjbu0IxvPVyrtYMZGYBWCVZcNAqkxIaIL3adb3qeGp 8Vuzu7+Vx9vVpPIBotgSz9vsfCsI6pKxIMfpB7sp2CTOCl6fPj6m+Y3k7B6arUqjWjAmR3ZH oJ9D/MvKYfIO2ZBUbHX/XMjvLjMhAtPFl+t3CD6zAHvGgLPF7z9/LPbxA3CfmoeLb09/tVaP T68ft8Xv18Xb9frl+uW/F5DpWy/peH39Lm31vkEE15e3r7fh5zW48Sc2jy2G8ToKlBmYTDco jZQkIjjTaXGREJMw8UDHMR46yL2hDhO/I/KojuJhWCzN2skxDAmdrcN+q5KcH5HE3DqQxKQa xz8xwLKU4scWHfgAoURmUW10UzEgwfx40FR04t5zEGW+spifWu3CAmPfnv54efvDFEBG8pkw wNISSTKc+Cwzi+V4Lgi5dYQpIqPK0iWPCBGTX7kxn5GETQ3RrPeVNR+ZkN8oPhLAqf2hkrrr NBCrzNxIeX5MVqvyBwmU0xPCsBtQr2Y1FWHxgtRQhBUB5EacxRUP7goxENBgFnWn/nVHzORK A0kR6Ehty10Bwb4FNMQ0xr0f9MpzsWOaj8Q6qllVifl6QkPSJKemNA8aJCpDJsYjQ0bqxDgS CkMDsRxxUtExs6XQ8HBXJ7W4GtGg6B+3XTmILeYQhWUv12e04Hjz04flyI2EBqnM8Q80CCil c5JC5uE7obOwGPEB0DHZHuKBBLMjkASlOHnPd6z0hp4FZdzHDChGMCzosg67VPfMoZScEqPn vIbJY8ddusi6yErmbZH7QQ32KSDI1Y8OqkgMh9M5HM+DfHuxCAUNjESzLJMzWhTkzArBmJCL CR39mOwz8z2ShppfjsHjnhbg9TkHvAjObxPMmjHIUR27jkpSJqSaewoL5ku7gM6mTmaLOzN+ 3AtparZreYXl1tBnSDm71qo89LfR0kcMffU9aSxsdwLBUM1guA6VR8mEISYBDdXBd2ISVqV1 PZw4xc8BkI28RO8mJMJySmt3zeDRD5A0nwom00HjAlWI30/IYy/sp+h1nOwEuNK1xSuUgDqJ xGmf8FLltsb7jHHx43TANwokX6c8JhYkDeiJ7QuCRbyS35ydSVEwC2IcAHSkfOC0VCfkiF3K yiJJMw5BCJAIWQB4FG/jE4h+lkNwwecnaGDET2ezQlKnSRBnAfzibpCItzpo7SEW2LLvWfpQ i3Gmhb2LxCBnfHTV2i3L/M+/Pl6en14X8dNf13fTukyzXBZzCSgSewmoMgX3yabKhNOCixi6 y+NXPDZH0rTBSDP1nfVAhOw20UuqpzNKAB0EoXSQq5Mp1ORJqqGgP+AC/vyrY6C2R9O0SmoV 84EP1I6WM1E/fNf3l+9/Xt9Fz/RayJH2R6mxBk/AFxZUCuPeimBiWraMVu9WIcE05dcVVnKr 9UIB+YU4SOh6eeI9WYsHsoszJZ7m8LpU3+FlQAPxZb4PA2sThEDgOEiSM234lQMkfjSX0Ukm qkF9TRjH/j8GHGIvRJ084+JEOZwCUaMU1NdffzIfAM1Psz29jGeP+jXCFw96nSZnJRrSQHJf xFBLdmidBvimqrrb0qqoSgMQ9iyQBKIVtfpIZMkjio2EiT1btcHyAXP62CCEvFfNUFrKEaNa I+F9FUBaD1jok2u0ATXcH8ymK4p8pvsAuZouH3PEiUEyBQh0w8+sHGoHG0SSaLEM8nPB6Sch Cw5z1TePebj1t76hjJbeRszti673caZHj+keNXdZv277WiDVUl0RLL2WeHO8E6srNpmlSSVq uuPGCMrBkmgCjYfHgA0bLB8JrlZGA1V/T8rEii8IR0THIQ5LbTVEjW5HBsTwHCT8iKRL7YC2 LFs9KoKfyMmjRyUs3lNSme6/ACS3vGTSa8NwLLLfzeIhkE4VujcCubJ9cCVayTwxzfH3g0/i O1DqkZu1YEBLkLBAfe9caIocP7VhwwJo9xCSeIgPQkITLs64D4buhytnuIrVYkjBxayM/6H3 fv+0xo2sJGhfgCCf/h9lV9ecOM6s/wq1V7tVO2ewwXxcvBfCH+DFxo5lCJkbik3YCbVJyCGk duf99UctW8ay9Zg5N5NBT1vfarVarW46cC3uSbxdzf22PTDZkhnEWZkDWw36tjM1n2uKMtx4 hN6OXQmAkqZoStbvW0PLMneYJPEjy7H7A/RwTNLIWNC3cLOwoXD0Dr7Cp+AJliRIXTZtlFCH SfBvDaOMt97RcMLBW6wSdxzbfFS44ubjU4UDRUKJT1Cce4Wjl6bXPgE++CqCEdD7SgKPuZY9 5H39YYKWhe6+UKZVETI75qVnT4BriKJp+cABUZEKgwmXUbzPDoLIdabonVY1JZ1/MR7ygRVE AwuEMK/TNN5FNRa2vBX+8+X49vev1m9SJs7ms15pRPr5RuEgDKZMvV+vNmS/tVjDjI7VZhlG 4vyBu4CXSjyOthnQM0mcIlV35E72QA9AxCu6PxT9uy4Njox9k5+P379r1251S5gmH1YGMi2H dxqaCG6LroI1wjg3SQ4aycIXApTYrHNYWuUx8nZ5bmq+8NCImJDvN2FuchGs0Rl5mQKVAZSh 14/vl/2fL4eP3qXo+uv0Wx0ufx1fLhSNRMbr6P1KI3TZn78fLu25V41FxlacHBb/RPtl5Nrb dClDNuUamTi7orA9jezoEU3HMqi6Hp7q6OaS83BGgSrMuspQ/LsKZ2xlmlK+4KBCrEvI6Iy7 2bpm8Sahlplelrt0INYTlBRSS1q4eSIWuTFReaz95Xx57P9SJxBgnixc/asysfFV1T4iQXI+ YauNEKuUmZ5I6B2V8/Ta2iZCcXYMqLCgUWuZTl4lDckNr5j19N069HdN/5h6rbON+aRD1pZU U4Pgpb5js5nzzQc2DVciP/kGApFXJNsJuM9WJB5vezw2kIAnhjWSEYpZX5IsHuKJAxT/iiZm 29EUxQsvaTLuuIMbZYU8smwQmVWnAW/6GkQgJnxJtBUk5ltBRZG6AXwwrNH0b3SQJBr8DNHP 0ICgqdVoDK0cxYovSWZ3A9t8sFIUXIjeU+DUWdEEMXTFU426mMjgjWaNxAFuSuq5gLADisSP xbGnez1kG0HSPbmyzWQC7i6qjvHEumtHu6UHxze4A40LEE81kptLdgCEYI2ku7uIBIQY1Uhu cxgQu1BjDcDIqOr1KXI0d50Aw9tzZITC8GosaNg9AwpW1t2/YhHa1g22ELvpeGo6AMndqO23 j+YPRWz8iV3G4wNkRKLX0KQs1BbD1LVV+enL/iKOHK+3CndjEEOtNids4B+kRtKKpWIgAZ4H 6nvXxNkFLA7BY9Ua5RjoCa4k9hDcR1YLP19a45zdmD7DSX6j9UQCnM/VScBT/IqExyP7RqNm d0N0Xq6mQeq4N9YeTZTudfXtYXUXawo2OXNOb1/oCKNPqKakk0+tLJ7a/b4uxymM/O02ZTk5 DTv0q9X2lIv/3dx9xgOTF25xpOZFCGRj9b2YXZ+aVHleU4GxiCBox2ERibvCCXMtbpdIS4J6 3mTCnTEx7HMvNkUiZDkFCmA1cVikbMuUaw3vd2wbUvbmA5P0VesBC2UC7xBIdzwRWXkwEFlq NUuDsmwjLiNXLCiDXTwHhkJXGiMsWgdbxgNyu8yMQ+K+HA9vF43dMf6wcnf5FlZXpBtPCSJ9 tg7a74xkfnT/rrkUuZfpxgLWZU6gcAFVIWRB+KCCaOEz8BSuUdVa49fbLjubNTj1UowX5W3f MEMJDpNd7K/W9T5QybGea/l+6/F8+jj9dektfrwfzl82ve+fh4+LyRXwLdJrgfPMf0DGHDxn 8xA8b50nkReEQHkfB+TWIOE7cBPoLrIk9qunNebSYz+K2CrZGl/gqIyipQy6myTLdVoLEkKB jgVGIQFSltVYSaFNI+waRES64nZfTo9/F+Fx/jmd/67PfspowT3zCeGaofQZMwT+Z2pkPHSQ cXiDCjiX0anAtYNOBFT0OhFwXFQjcj3XH4NowA2yKTih1Mk4hQzYuebLKKK4S7LQfBtWyya9 NytxayQb92ZlgnDre611V4u6Ypwl16wW90JmXdFtcmvdFh/x0+f58dDePKU6ttjetJQ0S2b1 iRsteebKCtY3NenrPm+m5O6s/KB2DUrPU+ilxy4N89FwVo/mYqxhbSWyMJolZg1MKLpwrXRw raZnh9fT5fB+Pj0apWifHk6T2srY54aPi0zfXz++G/NLhUBQslBzjtqXNUZHQWvuGyEwioOI qNuv/MfH5fDaS8T4Px/ff+t90FXDX8fH2pV+EVnk9eX0XSST4/l69VTQEANcfCcyPDzBz9ro dbTLQAz6g+xrfIYga7Vodj7tnx5Pr63iqr5wd7PMjXk+M/ah8fviaeA2/Xr1sn93Oou1Cwq5 W4euW8p5ULrK3DQ2VuFWQYWq/n/iLerSFibBu8/9i2hYu2fKr4y43nG6xY38eHt8Ob79izqi dI6/acakLos0fVy93f+pqXktKo1J5Rtkvpmj+tvcTUyPGWKxSrOHFtPxMha7zVR/VjO8COus SvwobR/rM/WaugNP+2oUZAKQrPg6NgY3IsJlEAaSXC+3vKIQ/N1cg+K/RhvP2ud6nqomnN7J VyS2njG/N4TIa1KU37YmDnt8PLwczqfXw6UxaZiQR62RDU6qCjWfmJm3jQZDB3oOVDhyGSjx MfYdq3CU/yxmFlDHCsgGZ2sBDYFGfRa7ltMvnseZJX9mgwI9NkCBTGOWeUDQKTBz70oMnLHl cOdFRXcDcfgzi73LLffMmS+37h9Lqw+8p8fuwIbGU2w8dPCYKxyNKeHIR6HAJkNg4SGwqQOE 2AIDTdm6YrTNIpvARjZ408xdBk1seL6cDCzg+1BgM9Z8MKy2X30ZFkvzbS+28t7l1Hs6fj9e 9i906SvYbXuhjvtTKzPXVoAWcLQoIHtknn0ETdHCF5C5hRIy6+oENAT+SAU06o92MvKXjAUe RWCNaZSYNYzHuFXj0WQH2zUGK5gg3BtjcL8goMnErMsX0BTosgkCQRII0m1c6pIY87R9kmQz FjPHs0vkehxxLTF95QfmLXq18aMkVYEogXHQIpwMgUZ1sUV+eMMVs7dbWHKUu/ZwDOyoCAPH XolNzWNeYOZhEEdpC11gEWah524FaJ7phKFbRzq7j0DfxG46sMEFNGFDcP1K2BTkuWLrMdJG c4/GgfyAdJiA5SER9SeWecAUDG5GFDzkfWB9V1BYtjUwd2aJ9yfcAs1QOUx4H+wPJcXI4iNw OS0pRAkgwn0Bj6fA10MBTwZA+1HCIxBGoyxb2u4hgjxyhw5Q5myCkdWHK6oU/LctXG07XVtM fRMKzqe3S89/e9J2HhI2Ml9siE3HB3r2tY/LE+z7izg+tLaxyaDJuKszbfVB8cXz4VU+3yru C/Rs8ogJcXlReiwD0pw/ArzedfkEcS92B11rUGFhRuHg+TxFAWxSDpDNt0nTeFHpTJotLa5K jk/qqkQMQak20qKXGgkKXQNPFVT7ri498rTsu5Y3LHUmbGVRqOHLKSRm074YeCSvOH1wYSGg ARABCYL7szMEDIagIZIGBIR2WseZ2ua5IzHg7ZUwcKMpoJE9zKDYIvYpC0m/tIeNAI+lfCej DmnIGU1HHecwZwzEXAkhYc4Zj2B/j/HYdkhRA2ACIrjCBBxBvTTJyfDZDPIhCmMRj+wB6E2x QTsWFAicCZhlYg8ejoEqmrAp2LsFbxf170/spuF2g8JxgFRUwGN0wCzhETiRFHtHqwfVVVXX ci6s8wRrefp8fVXhwescqIVJMDgf/vfz8Pb4o8d/vF2eDx/H/5IFtefxr2kUVXFLpaJ4fng7 nPeX0/mrd/y4nI9/ftKdmc5Ipi1LMU3XDLIojC+e9x+HL5EgOzz1otPpvferqMJvvb+qKn7U qqgXGwxRCBmJNQerrNP/t0T13Y1O03jv9x/n08fj6f0gim5vjVJn04dclFBkXKZQxEulNgiy 7m3Gh6DHZvHcAt8FW8ZtIYMjhUK6HvQdHICqVIXMH7KkQxMS5vNBy2VaYwm0e7XYhg/7l8tz TQhRqedLL9tfDr349Ha8NAch8IdDxOwkBrgW2w76HQcSAs2hEowVqoH1NhQt+Hw9Ph0vP4xz KLYHQE72FjngQwuS4cHZZpFzG7DVRb4GCA/HSHVDUFO/p9rabFfBxQSPuNCbjtfD/uPzfHg9 CGH1U/STYe0g9WCJwvkvUaiQDK2OMGoljDb4YJvwiegM+H1FgHJYxluwmYerDS2yUeciq9Gg EsqFGPF45HGznNsxCMVDlOP354uZp/3h7TjaAJm3piM+GJZoQIGXzFjq8Sl6nilBFI9mtrBQ iB+C0LEjHtgWsLYkDMgrAhoARZKARmCJEDQCGtN5arNU9Bjr90EIOHk0oBdVkT3to/C8GhEw AJagBcSmPzizbCC3ZGnWh+/58gw+xdsIFjkEXt4FBxWsF7NXAs2HhVXCoOlvkuZiEpmrk4oG yteaiMVZFoq7K6Ah4H75cjBAAXry3XoTctDhucsHQ2DmITHwjkANdS5GE1nSSwxY0BM2BnkL bOiAWIlr7lgT2+xdYOOuIjiYBQh0lxs/jkZ9dEyXIDBg2UQjdOX0TUwDu3WRVnI+nbMVJlj7 72+HS3EXYOR5SxjHSkLgQLfsT5GisLzeitl81bERXWngHQ6bD5BFeBy7A8cGbvHKLUJmjmU1 NdcWsetMhh1BAxt0MDJZSZfFYs10RDLVyVq5KXM407AVA/r5cjm+vxz+bZwkqNVx08mYyq3+ TSmoPL4c3wzTotpDDbgkUE84e196H5f925M4zb0dmhWRHkOydZqb7or1gaKnYWaqsirmArWT yvvpIvb4o/Hi2UH+bjxuobcidD4fdhzrh2B3LTBw5hdnd7TFEWYB3kQY4lvyO2QhnacRFONB xxk7VXS6Lr5GcTq1WhwR5Fx8XZySz4cPkseMbGiW9kf92Gy5OYtTeCEeLQQbNXNuL+Vo+1qk aOTTyLI67p0LGLKsNBIsC+huuAOvawQE4kGWvAzH0coddABcpHZ/ZG7Gt5QJKdCsH2+N0lVm fiNX06bB44Npcw+s70jad+VUOP17fKXjE72ZeTrSwn40Tgwp2EEpLPRYRgEx/N0GrNYZ9ISb IkPhLPDG4yG66soCFHl8K+oJpCXxkXnlbyJnEPUNgbSr0ejsqNJk8eP0Qi4HfuJ23+bgvRdB FtJd3Cih2BcOr++kIAMLnPTOUyC2CbYZxjvpfzJxkzVykR1H22l/BMTKAkSXh3HaB7YxEjKv vVzsTWDiSQgIjKQ/sSaOeXWZeunqB6rm9kz8aD6bpiRptGZI2i0i8sPVyqKyrtUdUsXSXDHI zXbIhEsvIboiuRAcsrve4/PxvR1nRyBkrKs/etkFoTaxFSCrxUKXvmqa5Ilkp0y/yiPNYmsc ImXuEkaqEYzTz8n2Lc+SKDIYraWLhx7//PNDmiXWZ2zpyn1HBMZdyY13y2TFpF9NSCXS1WMn sSH9BElHPjRmYbydxHdUJiSLw63oxThMw+7s0i3b2ZNVLF163qaiZuL6i/mSdteKpekiWfm7 2ItHI8AoiTBx/SjJyWWdB5xdElXxXolcrZn5pjaqtU/Jj66LvEkBi87MEH2BvT2dT8cnjbuu vCwBoZ4UeU06YSbzG+VXof6z4gOFQvW+dznvH+WW2g43xcGSLrqr6ahQ6TLbWV6/DFLgYzcA ntV5CAzveRTGaJnKA4P4/8oHbthdCtwHTghlmBmvbhodHF8Eh5XDr+1DG0ZCgxAYxKkjZRk3 WuYKLCSfY3Ve5m9zewf8MApsYPa4KpDhrs7EZcKai/KTTObZKGMoK5bwcLtjrtl0TVFx311n yEGJJEIePP6YeVq59BsSi5Limcvchfb0LfND0XcCA13yB4a2GJoHHHZy4naAs7yjLqsw6vg0 sFtfVn1IT0QCrg9RkVb6YUxS04f0TnBHuBAxa+9ZBIMg66iHJl5bUjuxC2QP2MG7oNj4zUGv sFWSh0HN8N1rJoRFgvT0dE0NWEVXFXS3TnKgzl7nScCHqDsLGHa2nPpggEXLIvbQgIvFu398 1sPbBFxOSSM/KKkLcu9LlsRfvY0nWYKBI4Q8mYoNCdVq7QUtSJVjzrs4RSf8a8Dyr6u8UW7V 5/lOn1kxF9+YJ+Kmoq59rZw+UfTylIJMDQdjEx4m5EpdSEH/+eX4cZpMnOkXq+bpp066zgPz MWWVG4ZUcV9zSwvh6uPw+XTq/WXqAXpFpTVKJpAPszxqJFLzKM5dKFaPJsgSKITOyMt800OQ pZ+t6iU0BGoh++tDIBNucN+CZsvy3LRziO06KANka2846Y/swrpQa+id69s3Xjw3Jj9NfqzV MsnIqyReY8zrwAKM+ZLzIHSBPxQQBQSFvLmjrrOO6nRtLm1+rpbrLFT93EgR/bIht/+e9Fac GQiib4kh9ZvmmeuazHM9VKEEGD2FND0ubH4uJ5AhW7Wpt7Om3NfikLzKQxdH2XYzFoNe43dr xhcA3HTsynG4EgsCce24Y2KkGLtbbYed6AijWVehKTnDBpaVD3wD+XzHTMzaO5pijH5+n2TL xlJVYGMm0u+N3fitRdopUiDvkfDQUA0ZZXPVLMsLOcURE1tYWvM5V8/N5L1unsnHE0LKSGrh J0laaf4UddELrELNqv5er7JUezBQpHTEPHD9dIHGwQ0RkHgMczw0dFG9uyKudkFtm6zBap/d iX1W68Y6NgZ6XJ1obHIspJFMnD4sYwKM0xtEZjV0g+gnaou8zTaIwKsBnehnKg7ufRtEwEmJ TvQzXQDe9zSIwHV9nWgK7Nl0ImDO0cjpJ/oJvezRKw6udolIyL00y3dA4qtnY6HYlE0qPAkY d8MQzHpVE6s55RWAu0NR4DmjKG53BJ4tigIPsKLA60lR4FGruuF2Y4ASXCPBzVkm4WRnvpKt YLPrWoJj5tIGDNz1KwrXj4SccoNklftrEHajIsoSIezcKuwhC6PoRnFz5t8kyXwQDVVRhC7F uDIr/iua1To0K7G07rvVqHydLRvuamoUdFTTPENFIMzIKnQb4ZnVuTfZ3Ws6dk1lVrzvODx+ nunyqeUOicIv1oun37vMv1tTtCvDyVzJZkWEdjHw9EUWrubgWFBmaRbHChWJEOQhiQB23mKX iPKkqIxMQApZe+fFPpdXBXkWAv1jp7JNgUY5Q7r2ESdwz1+JKpPmxU3Shx2LhAzFGgfaFplZ iSIEOdLi8GSdgZf6PBftdmU2FJ174UepUdOpTv7Xrqi7IIt4/J9fyPr96fTP2+8/9q/7319O +6f349vvH/u/DiKf49Pv5Pn3O82SX4pJszyc3w4vvef9+ekgb36vk6cwYDm8ns4/ese3Ixlp Hv+7L03x1bQUp3yqvrvcrZKVpnOcuxQdaT0PV4IgW7t55LMl9lpuJp89ZL7ZGrGDnkYL6K1D crtdjCbww90ipgDckFaZ7Jh7ScG4k6uHVc21WykjaPEklTOp84/3y6n3SPHLT+fe8+HlvR6l qyAWzZuztOYoQ0u22+k+84yJbVK+dMN0UddGNoD2JwtxijUmtkmzuv71mmYkrOT/VsVhTRiq /DJNDdSkd2gni62AzQ15lOmaor6EmlPe+GF1/JMu5lrZzwPLnsTrqAWs1pE50VQT+ce8HapW S50F8KpWkBgd8aWff74cH7/8ffjRe5Rz9Pt5//78ozU1M84M9fLMbt5K1Hdv4ZnHzdpv1e51 tvFtx7GmrYqzz8szmT497i+Hp57/JmsvVmDvn+Plucc+Pk6PRwl5+8u+1Ry3HvtMDZUbm7p+ IbZZZvfTJHqARsPV2puH5NcVTxru34UbQym+KEPwrU2rmTP5Kur19KTr5VXlZp0j7gYzXBU3 z0zNzU2ba1XLmeGTKDNHTCrhJDBf95ZweqMNW+C3UbEA/+E+AxfNalQ8IQPma+AMrmwZ54bO X+w/nqu+b/ST5kRUcceGH1HVhBtN3DS8cSr7wMPHpV1u5g5sUyES6OzI7QLFVCopZhFb+nbn aBUknSMiKpJbfS8M8Dyal3tLay78xBqLPeCyUMHdX4dioUmzjc4RyWLPAk8gahRAY3OlsJvm SS2KAXjootjFglkdzETwJWdk6EcBOOAhxpUCvEEp8bgbzoVsNUuAbrHcbuaZBbzOlBT3aaOW BYeTIS3bK47pXoSvqSg0uKJYrWfAOF1RZG7nnJpFyT10aapmPSO3pGH3bsZ43jk7iaBzxiBT nRIO5N9Odrlg31inIMFZxP+vsmNZbhtH3ucrUjntVs144ozH8Rx84AOSGJEEDZKW5AvLcTSO KiPZJdtT/vztbvABgA3ae0hVjG6BeDT6DXQwTZWdSJzsxikgOIarwlfepqfByV2pxORiVyvp 7ln3rOsj5t5a1lC/vLPUjii2Eu5GMqR34XlXvP/R5PABvOBy9lpwG/fSmae3h+8P+w/5y/7b 9tjdkHYuVvfEXiZNVKicSzHpZqnCefe+MAPxCDENe0OCEFLEhmwNjNF3vyZYS0hg8mCxGUFR DW/QLtp7ANpU8UJ722fPaviEozxJyi4eWlf+yeE4sGaRa/b9s/t2vAUz8/jw8rw7MNpEmoQt f2PagTtxWheA3iGNEU2f1zexWF17jNcJaTAJkhtx+Rfb2Xsk+TA0XrseY3sF3mLF/DAoN1km 0NdEjiqsP2vkwA7Aog7TFqesQxtt/eenv5pIoCMIw8GiTWazsiOWUXmB5XuvEY69eBPeEPUL HL2yREc+39UXXcreqdY+eJySOTquCqGzmzBLacYEqjX14QXdv8lCeqJCeU+7+4NOir77sb37 uTvc/2K8vI5h1aZSddn6/JSVVjWGl5cfjQSXFi7WlQrMFfN58mQeB2rjfo/H1l0DtWNRuLLi kbtsoXdMur1rMTqUw0YElDTGbGGYgOqDT7cbRNKlMINWlEfFppkpmTm5XyZKKnIPNBeYHJSk tqIjVZxwkkL7XM3C3H0udZT0mZUdvatoQQmRUVaso4UOLSsxM1lOBGYxcGKr6dQ5blEzodxH TVLVjd3BH44/Axr6F/n5ThABDqQINxfMTzXEJ1oJJVArH+FpjNATOACoJ+IZOSri0GwFqbHc Ohlovk4414A2zKyszyCPZTa9UJgvg7LGVliodaTGgP6is3GEWeoOW2PBtZ+x7aiSMN1QM4e/ vsFm9+9mfXE+aqN88WKMmwTnZ6PGQGVcW7Wos3AEKIHLjvsNo6/meretnpUe5tbMbxLjTBmA EACfWUh6kwUsYH3jwZee9rPxQTejG71gK2WUAGu4FrAqKjD0KSAzZAtm5rtuwpSVxmIX2B6b A89Bn6d6K4BGYQ9TliJvaX/RrBTeE4Nhh6NSLTCbNFAIXJC2x/RQiqoudF2XomTgoPSrWK7y MQo25DLv+sZ3ZAsbqoSTa46NqNT5UrLLeapX2OjnymS3qbT8Yfj31JHNUzsbrd9FqmFpUnqU 3jRVYHWeqCvUqlKm36xIrOQ5+GMWG6srkxjrBoPkNJ/rnklYpVGNTGwtHaSLV4sRt22eamUE PX/13MEk6JdXT2CdoAVscYrfZGZKCAFIxLwdlNmO+XPN2ev5aKwwGs9rRQg9/fTquS/crlA+ PVdAOP386nkujDDAtjk9f2ULaJd4V0YaNFWCbHLIFMOl+ZwlLOMCqKPM2DHCTtej1sfj7vD8 U9903G+fzMjhoADBJ6slVZzgI8waHgXuZa9eaclLSdn38xTUpbSP+nzxYlzViaguz3qibrXk UQ9nwyhCzMdrhxILXyGeeJMHWCPWe8w3WSjRAhBKAaYVC6XfNPAPVL5QlnwivHdBe4fD7p/t b8+7fauCPhHqnW4/csuvP4uWJDNekVO8KasxB2AhoqVxDhSMv1kFKr88/fS5X0ukoAIkA95x spOcFdiz1BsA2cVbAAI+Zp/kwPRZ7iMLoBKwBAElhRNoX7XQEwF1H1VVTLfOgiriki1cFJpE I/N0M+5uJlUEs8SwccEVgB5Ks7xv4Wnlya2yu+vOTLz99nJ/jyHf5PD0fHzZu6WvsmCeUB69 umJ1BhpoaUpUEsgws+U8tjg7/s2ufR2WbvJKO7V3DdYeCybpm3dadSsmwHfOijYW3ndmG0Rw FMG2wzdTPWF33SEikszk2QZ2A+Lbk0pA4EImpcx9tqD+igy/ishX0EuTXBpwsS/ahXZBQBHC 1IMxfXWQqe4pc6JGDsWbrHAw4xZL5LE+pxP9XXNFrAa9SuMkqqrJ3HN/rAET3etSHZQZwTHr iL6yDIDcOqVkIBTdTFO5PP3FzZwYqGW0RIvEPho6rIX4H+TD49OvH/BdxZdHfSgXt4d7xwTP 4XwBR5D85S8LjvcNa3H5yQai9JJ1Bc3DvshZhZYvKplTb6VrYLOoQfBWQclv3eoKuBTwqtgT CCFHjv4ae4qn10KnhgHf+v6CzIo9lprM/GneBEdtnb9TxPXubiMu4lII9xkH7ULB2PTAfP7z 9Lg7YLwa5rN/ed6+buE/2+e7k5OT/w6OJrrQR33PSa0ZZ8wXSl73F/fYeVEfOK8JmkeTpq7E 2hMyaYmUqc3lnp03O1mtNBIwHbkqAvf6rz2qVSk8de00Ak3Nz0E1Ulf1PoWNeaMvXGPygk9W QaSvwmGoaiVGdvBA8P1EJ3XR/4MqTC0XGEyFlyL4T6M6AMvS1DmGloDqtZNkYvZLLSU8LOin Fp3fb59vP6DMvEMXIaOEocNxSt69AS+nxBjdB02cOpCDdouCDizdoArQCYjvPI1kr8VJPFNy vxopWL+8SoJ0fANURTXPaQCAytbMTxyI8SYFEZJ3kxEqrpiysMMTKdb4RgfxqtUNFaMV2ho9 ETwoNFiHiR8qutDyaFNJ64SZesSszrXSSjNSjq7XQ+cqKBY8TmeazAg6CWxWSbVAM97VKVtw Rlf3AQH9xQ4K3vbEs0OYoF9ZJr6uidn+UPcyAPEXHi498+9jGWRFKjipbag09OZCUhKvW4nY tXijqsUZ0ejtcc/TaMsbk5hu/Zebm1DyWxuorCmquM4K/RvPnaaWqPhnFup8leRgGrU2F60q awr3iJbfEoegIa5KXjtBoZYNcaZXBwLFLkrrWFx+3N/e/fj9Oy7Ob/Df48NJ+XEYR+9L7NEJ 8/eXw10bFD/5YUR0sHJCmcwXPJe3d8F0N1Tbp2dk/KjKRA//bo+399bLdcs69yXut/wQLXHY wST/qq1C3rWir11zOC6xLSN5bTjXtLoLWi006zPR2NfnEJ8LuMDRwHunyN3wULg1etNl7HkX RGuCGLoqnQurNooXGnbCkUTvBH8NMTNnAo5u3FKmEsuberGIlEGlbqY7A3kAXNYP7/yaHnXB nPhCrPE4TqyMdoLpDHvPG20tXhl5Evp1YBUwKs/TKYRA/iQ+dZ3g2kE3CQcaTvnsF8Koa/f5 GhO6Jq+9H47vN8yAZfoxFMaTKnTrTCy4L5ODoEnMpwtoOl5OEPl15tdd9eQxlcJ750KvYDG1 /BgFXqDnEMQDzxiAqeIuNCHI70UWKF67p95micpAtZxYKP1SwsR8/I7HliDpioj3Do0mykxO UAQIwSgAwpz8CGr6HrbadeJFAJhXm59k6qN7EtrR/D+A5dYCI8UBAA== --tThc/1wpZn/ma/RB Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ Linux-mediatek mailing list Linux-mediatek@lists.infradead.org http://lists.infradead.org/mailman/listinfo/linux-mediatek --tThc/1wpZn/ma/RB-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-7.3 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS, MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED, USER_AGENT_SANE_1 autolearn=unavailable autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 9DFC6C3F2D1 for ; Fri, 6 Mar 2020 00:33:53 +0000 (UTC) Received: from gabe.freedesktop.org (gabe.freedesktop.org [131.252.210.177]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by mail.kernel.org (Postfix) with ESMTPS id 7E5F320848 for ; Fri, 6 Mar 2020 00:33:53 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.3.2 mail.kernel.org 7E5F320848 Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=none smtp.mailfrom=dri-devel-bounces@lists.freedesktop.org Received: from gabe.freedesktop.org (localhost [127.0.0.1]) by gabe.freedesktop.org (Postfix) with ESMTP id A4F6C6EC3E; Fri, 6 Mar 2020 00:33:52 +0000 (UTC) Received: from mga17.intel.com (mga17.intel.com [192.55.52.151]) by gabe.freedesktop.org (Postfix) with ESMTPS id 4C1636EC3E for ; Fri, 6 Mar 2020 00:33:51 +0000 (UTC) X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga006.fm.intel.com ([10.253.24.20]) by fmsmga107.fm.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 05 Mar 2020 16:33:50 -0800 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.70,520,1574150400"; d="gz'50?scan'50,208,50";a="441759822" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by fmsmga006.fm.intel.com with ESMTP; 05 Mar 2020 16:33:38 -0800 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1jA0vq-0005vT-9R; Fri, 06 Mar 2020 08:33:38 +0800 Date: Fri, 6 Mar 2020 08:32:54 +0800 From: kbuild test robot To: Thomas Zimmermann Subject: Re: [PATCH 02/22] drm/atmel-hlcdc: Use simple encoder Message-ID: <202003060857.sLuBNk9D%lkp@intel.com> References: <20200305155950.2705-3-tzimmermann@suse.de> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="tThc/1wpZn/ma/RB" Content-Disposition: inline In-Reply-To: <20200305155950.2705-3-tzimmermann@suse.de> User-Agent: Mutt/1.10.1 (2018-07-13) X-BeenThere: dri-devel@lists.freedesktop.org X-Mailman-Version: 2.1.29 Precedence: list List-Id: Direct Rendering Infrastructure - Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Cc: hamohammed.sa@gmail.com, alexandre.belloni@bootlin.com, airlied@linux.ie, linux@armlinux.org.uk, paul@crapouillou.net, thierry.reding@gmail.com, krzk@kernel.org, sam@ravnborg.org, sebastian.reichel@collabora.com, linux-samsung-soc@vger.kernel.org, kraxel@redhat.com, jy0922.shim@samsung.com, hjc@rock-chips.com, abrodkin@synopsys.com, kong.kongxinwei@hisilicon.com, jonathanh@nvidia.com, xinliang.liu@linaro.org, ludovic.desroches@microchip.com, kgene@kernel.org, linux-imx@nxp.com, linux-rockchip@lists.infradead.org, virtualization@lists.linux-foundation.org, linux-tegra@vger.kernel.org, Thomas Zimmermann , puck.chen@hisilicon.com, s.hauer@pengutronix.de, alison.wang@nxp.com, jsarha@ti.com, matthias.bgg@gmail.com, wens@csie.org, kernel@pengutronix.de, jernej.skrabec@siol.net, kbuild-all@lists.01.org, rodrigosiqueiramelo@gmail.com, tomi.valkeinen@ti.com, bbrezillon@kernel.org, jingoohan1@gmail.com, dri-devel@lists.freedesktop.org, sw0312.kim@samsung.com, nicolas.ferre@microchip.com, kyungmin.park@samsung.com, kieran.bingham+renesas@ideasonboard.com, zourongrong@gmail.com, linux-mediatek@lists.infradead.org, shawnguo@kernel.org, laurent.pinchart@ideasonboard.com Errors-To: dri-devel-bounces@lists.freedesktop.org Sender: "dri-devel" --tThc/1wpZn/ma/RB Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Thomas, I love your patch! Yet something to improve: [auto build test ERROR on next-20200305] [also build test ERROR on v5.6-rc4] [cannot apply to rockchip/for-next shawnguo/for-next sunxi/sunxi/for-next tegra/for-next linus/master v5.6-rc4 v5.6-rc3 v5.6-rc2] [if your patch is applied to the wrong git tree, please drop us a note to help 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/37406982] url: https://github.com/0day-ci/linux/commits/Thomas-Zimmermann/drm-Convert-drivers-to-drm_simple_encoder_init/20200306-045931 base: 47466dcf84ee66a973ea7d2fca7e582fe9328932 config: arm-at91_dt_defconfig (attached as .config) compiler: arm-linux-gnueabi-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=7.5.0 make.cross ARCH=arm If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c: In function 'atmel_hlcdc_attach_endpoint': >> drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c:98:8: error: implicit declaration of function 'drm_simple_encoder_init'; did you mean 'drm_encoder_init'? [-Werror=implicit-function-declaration] ret = drm_simple_encoder_init(dev, &output->encoder, ^~~~~~~~~~~~~~~~~~~~~~~ drm_encoder_init cc1: some warnings being treated as errors vim +98 drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c 65 66 static int atmel_hlcdc_attach_endpoint(struct drm_device *dev, int endpoint) 67 { 68 struct atmel_hlcdc_rgb_output *output; 69 struct device_node *ep; 70 struct drm_panel *panel; 71 struct drm_bridge *bridge; 72 int ret; 73 74 ep = of_graph_get_endpoint_by_regs(dev->dev->of_node, 0, endpoint); 75 if (!ep) 76 return -ENODEV; 77 78 ret = drm_of_find_panel_or_bridge(dev->dev->of_node, 0, endpoint, 79 &panel, &bridge); 80 if (ret) { 81 of_node_put(ep); 82 return ret; 83 } 84 85 output = devm_kzalloc(dev->dev, sizeof(*output), GFP_KERNEL); 86 if (!output) { 87 of_node_put(ep); 88 return -ENOMEM; 89 } 90 91 output->bus_fmt = atmel_hlcdc_of_bus_fmt(ep); 92 of_node_put(ep); 93 if (output->bus_fmt < 0) { 94 dev_err(dev->dev, "endpoint %d: invalid bus width\n", endpoint); 95 return -EINVAL; 96 } 97 > 98 ret = drm_simple_encoder_init(dev, &output->encoder, 99 DRM_MODE_ENCODER_NONE); 100 if (ret) 101 return ret; 102 103 output->encoder.possible_crtcs = 0x1; 104 105 if (panel) { 106 bridge = drm_panel_bridge_add_typed(panel, 107 DRM_MODE_CONNECTOR_Unknown); 108 if (IS_ERR(bridge)) 109 return PTR_ERR(bridge); 110 } 111 112 if (bridge) { 113 ret = drm_bridge_attach(&output->encoder, bridge, NULL, 0); 114 if (!ret) 115 return 0; 116 117 if (panel) 118 drm_panel_bridge_remove(bridge); 119 } 120 121 drm_encoder_cleanup(&output->encoder); 122 123 return ret; 124 } 125 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --tThc/1wpZn/ma/RB Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICCGPYV4AAy5jb25maWcAlDzbkts2su/7FSrnZbd2Hc9oLrbPqXkASVBCRBIwAOoyLyx5 hnZUmZFmNZok/vvTDd4AElRyXEkl6m7cGo2+0z/946cJeTsdnren3cP26enH5Hu5L4/bU/k4 +bZ7Kv93EvFJxvWERkz/DMTJbv/254ft8Xly8/Ptzxfvjw/Xk0V53JdPk/Cw/7b7/gaDd4f9 P376B/zzEwCfX2Ce4/9MYMz7Jxz9/vv+rdx+3b3//vAw+ecsDP81+fjzzc8XQB/yLGazIgwL pgrA3P1oQPCjWFKpGM/uPl7cXFy0tAnJZi3qwppiTlRBVFrMuObdRBaCZQnL6AC1IjIrUrIJ aJFnLGOakYTd08ghjJgiQUL/BjGTX4oVl4sOEuQsiTRLaaHNHIpLDVjDr5lh/9PktTy9vXQc CSRf0KzgWaFSYc0NCxY0WxZEzoqEpUzfXU2R6/U+eSoYLKCp0pPd62R/OOHEzeiEhyRpOPfu XTfORhQk19wz2ByiUCTROLQGzsmSFgsqM5oUs3tm7dTGJPcp8WPW92Mj+BjiukO4C7ensVa1 z9HHr+/PYWEH59HXHh5FNCZ5oos5VzojKb1798/9YV/+y2K1WhHhGak2asmEJf81AP8b6sQ+ nuCKrYv0S05z6t3iiuhwXgzwjYxIrlSR0pTLTUG0JuHcnj1XNGGBd16Sg07wzGjuh0hY01Dg jkmSNAIOz2Hy+vb19cfrqXzuBHxGMypZaF6LkDywnqWNUnO+GscUCV3SxJYUGQFOAZcLSRXN Iv/YcG6LKkIinhKW2TNlETykCowULnnMZUijQs8lJRHLZta9CSIVrUe0rLMXj2iQz2Llsrjc P04O33rM8m09Bfli9fbk8HQhPOUFMCXTqrkAvXsuj6++O5jfFwJG8YiF9mYzjhgGC3jFwKC9 mDmbzZHvBeo66T/hYDfNZoSkNBUapjcquhP3Gr7kSZ5pIjfepWsqG1eZI5F/0NvX3yYnWHey hT28nran18n24eHwtj/t9t87dmgWLgoYUJAw5LBWda/tEksmdQ+NbPduB2/KKPyO1ksXqAil P6TwJIFUe4k0UQuliVb+kyvmZfTfOLnhkAzziRrKBmx5UwDO5gD8LOgaRManBVRFbA9Xzfh6 S+5SFrcW1f/4WbmYwxvriVNrt9AuxaALWKzvLq87WWKZXoCximmf5qr/YlQ4h5ds3k3zYtTD r+XjGzgxk2/l9vR2LF8NuD6FB2tZ4JnkufDfFFoEUA9w2V407CNcCA47xzekufQ/v2q/aKTN Un6ajYoVKBp4FSHRNPISSZqQjc/QJwsYujS+hoxc30OSFCZWPAf1Z7kBMupZfwAEAJg6ENcN AIBt/Q2e935f29IXcA7vb1xQwEnjAh4deGOon1G1wX9SkoVeM9ijVvA/jvWtrK5t4nIWXd5a Xp2Iux/Vs+h+92iN1gbTKu0DqRnVKbztoraYfrcA+d1a1BocV/q/A1Q+QaV2Lah5Bv3fRZYy 2ze1jBdNYuCwtCYOCBizOHcWzzVd934WwpqSCm7TKzbLSBJHtnKAfdoAY7BsgJqDg9L9JMyS DMaLXDo2l0RLBtus2WQxACYJiJTMtpQLJNmkaggpHB63UMMCfCyaLR3LBALguzrblZLGH4wj z9UahwnDj26TMFsW9i4AnAnHkzDeg4F65oSZaBTZwYgRXHwJResUNMKAQNhisUzhANzxAER4 eXE9sKV12CfK47fD8Xm7fygn9PdyDzaFgGYM0aqAaa/MrrVGtbDXRv3NGZstL9NqssLYVEfU MfIhGsImS9xVQgLnvSW537FVCQ98jw/Gw+3IGW0ce3c2wMbgdiRMgcaGB8lT/+zzPI7BlxQE JjKsJqDc/Y9d07SIiCYY37KYASWGao43xGOWDNyJmp9uMNlJmv2UZGqkTqHBcVxeWL5QuRAQ nMJTEMBr0FrNBhxxAocFHSFrKEQRCzAOIW1m6HBoWMESDREVPXhKcUJmaoiPQaNRIpMN/C4c ddCY7vmKgsephwh4kiyQYPng4sDI2aeHR9ceMjeBh3KZI0z0JObADfT4hpM7GlPMqpDeBCLq blo7EMbDmegfL2XnUaVp3ttImhJRyAxsJURNRQqX8ekcnqzvLm9dAjQrAi4JDZ0tJgZLA0Uu Ly/8sZwhEJ+v1utxfAwWN5Asmvk9EUPDuLianpmDrcX1uTUivjwzu1j7Q3iDlCIcR5qjnzm7 ugqnZzcGkZ+4HOjA9O3ptHt5KicvT9sTKi1APZUPTgZM5KC6juXk2/Z59/TDIXCXqGK5pS+T 4OB1X24q+I0ffF1hvEvdjp+3pvjoVSznjt3NkxLMAaj08/T2DOeJEpSOWkSiP19aigU0DUIk zHlxMYQrkn52oQhZ3140rnz4dHj47fXwdgTT8njc/Q5eu/8+dEqTKgqovFvwaHxRzpBOh0FP P+LGilzbXpYFVwEMXziWKwUFB7De2bsxKu1bdAM2Cgnde3dCa1zFi0I47ljFpFZOnIOJoRYJ E6E+Xl6ee8JkybKQnRGt9ZmHCi4pncm+SXRpEhGCkjmzhTT1B0IVcvnx03p9RiLTJThV57bv D9gMMgM9EbHFGQIl2EgoV+kZCRb25pwiWmfkzAYkJcmS0ZU/OQC2oYD3Rs4wV+XZ+szl5Vfn 1CgmjcFHGEkVGZJV+unm4magScXx8FC+vh6OPTNpMizmvVtqrwXe9oB6nqfwoIhAK+yirqa/ X+sB6KY3aSA1OJV9whp8o39x4cIgEjoj4cbFhKD7wJe+XmkvnC37cC42SB70zpMEBsp61OLy ZghxXQqEoj9f5Szb9F/H57hLZlj+juGg/epxHlZtuy56+MNtIIv+X2QryTTVc8nz2XyUtiIF GnB7wDtjmUcJZ2A/igWGV8WcJsIJBEbAeNLksp69SgXdWCkdy18zTAveMEX58nI4nuzUjw22 Q6IhZ5epEgnTxZWbQmyhmHzw8qAhmfqTHA36cubhi4kweBwrqu8u/gwvqj+Oec1kMRMQTbfQ +T062hAyXk4/dTD7F6HEiGO7Bw6/64DrbDVAxFmxBE88sgdjjhiceV9GBm5frZqUuyDZneve rAhEfpXNS4p5PqPwVtwLTnmUY6CV2HGuSdWj81zc84xyGVF5d3nZDkvYLEsxpoRwxEpg5SQ0 SdkV03MMPkKxcYI/GiID/DqXSIKRw1nk+eywGx7HXZoRRfMAZIcXdGAsecOHz2PbnENM5eYN mmSg2UMKMZvMQ98F3ptEm+SgGugaBeliiAmUshHIfCIEzSKYPtK9a8G9ILSWmbPIIkwjLNJC ZI3LwHoJx+yv65aMD4Mdwy580lUR3L17AL4dnsq70+mHuvjP5eXNFO3bfnc6PsKRphg1wJ// TG8ub28+Ta8nR+D33YfH8vcPx+3zxeT4x7velOe2Or6tAYmRU8/GF3RNw97FmhDcWUcSBY5Y nvpqi5grLu4xgxVFzu5o7C8dOCLWxjTi8Ad4z+l2v/1ePpf7kx3vxMfyv2/l/gGinYftU1VV cdR6LN2ElV2m8IxuJ2aPT2V/rmFlypqrGmBDBvs288VPhy0WQSYvh93+NCmf356cPgZymjyV 21fgw77ssJPnNwB9Lesgony097aMhXdbo0tV9tls77nd3vBtq1wJp5RZA0z26b6XU65RasGE SSf6zAQ8/oRSp2YOMBQTA/crrhQU8IKawMc7Z282k6f0O4V2asm/vSqe6QraXwrBV2DWaRyz kKG2rhNyI2ZEpD3b0bBFcKWY4ymiMjGWp8/kKj/LAiozs1N7bHu1o5dXydju+PzH9lhOIhN5 OqnRmMl0RSRF45ISP8/jVRHGdRHASzDjfAYGr5lr4GPr8vtxO/nWbKMKgG2HZoSgldz+AVwl HMqN0P42CbRxOXbGDG7Z6XrZHh9+3Z3gJYF9e/9YvsC63idQ6Tc3M24UYw9mnA9eJUmdXP2i SvV59/oLqM0iIQH1VWCqGAisK/a/gKUG07cigz6XfiKxgkqqvQjw/bzwbJgywNVNonTOeT/G j1KC9TDNZjnPrbnayiYcC3Vl3aYwJDBILNaAP6Nz0Zd9otAoaRZvmorfkGAB+qJfKGyRMGvd aOI9ltlV7YcUqzkEB5hK781zNQ3A3QWnttC9SSQFQ0hQ12H2uagdNiL6PKwrKDZomC8xlQqc 0Qc3IUW1CppY32E6GfJ5rdjIU/WFNN1XnilqnxJec6LtgpWhMKuD0Ggaam4h6xY2F930UDQ2 YWRsbxBcBLerahWnQL7AeTEyuGAD9EhPRI/K0w3RowDPvWaCoCEWPqwannHqlXmDWJ+UAxYj AwzG1GCcOm7HXSeX3iOgaxCx/iPxjPo0vNmm40tzEfFVVg1IyIbnfXE1AX8t89ouUoYJ3FYR AH9Bh0cWgmO/HZvVlulqgCChW5ypXeHqxSC/3dxAxi37CUFi76hYDecZhFZ1h5tcrX1PWoPi 0C5N53z0kefKnjVxHbP5Z+qQ52YytRpwcSPTXmA3NS7seqEaWqGQL99/3b6Wj5PfqlDr5Xj4 tuv7r0hWH+rcNgxZbXrqUnJXmDuzUuv3JPkM7Av2Dobh3bvv//6322aJHbEVja3rHaC15QZc hJvQSEaCUu5vnrKowStDhsG/EuT1r6jxxQ3jyEE58i+sfHMWUCUpNhPYdtEU3xVWqLuURa0R 7PPWglLF+hiGeS6qpskzxI8OrtDegwNdrb79fkQ9j5Jh20o70hnQUI50stRovDUJNu0cDdaT V0XKwDXNrA6jgqWmxOnvS8hAl4IG2aQBT/wk8PzShm6BXRDePqGqZar9uShUqBgo6C85VU6t vGkpCtRIG1yHH2s+7bqSsFwwJskNFaZ6/JeIFE3IbUyyPzOOZKvAF19US2ATRqz6Z0R2cUGS gaYR2+NpZwJIzDG6PRIEXCwTYJBoic1KXtlVEVcdacd1COEdcBeZ9Fa0t2/Co6o5l3ftbJa7 nX4pGK8azSKwV27XvIVcbAI3/GwQQeyP9t31WhWqMqvuVXXpgycACgZfI2hxt/+2whtDWuHP 4bxjTSZ6bLCNdEe73QNEg7MRFhB6WcnGNiI37KV/lg9vp+3Xp9J8XDExXS4ni9EBy+JUo/fi iFILLeJIMF8MD7g68ulSI/Db+KetU4ITjDdP1quoUDLR97rRntX4OCHaszkEj0+KWPxGYSnw awVhvmNAb9MzEegu3wHxNLWz3UrPGDurynz5fDj+sPI8wygSd+U0kphtZjwyUXiRkn4IhNGN 6c9yBaVKwQttJARcK3X32fxxHLFw0LqD2XlJUXh6Cd/mYTGsg/ZGLZQvV97csHE3U4a6I5J3 1xef2/4QUyOB6MW4fgsnOxMmFPQMVkJGEpL+not7wbnfnN0HuV/Z3quqt8xzgiYGNR0+oDck rdjfqZKo6ZlqYg/PLLEEiwdBVR3Y2I1nJqkz2jU9y0UR0Cycp0QuvKpqXJ46FlvPRi2CKstr /INGAWTl6Y/D8TdM/g2kEURkQbUrIQgpIkZ8Z80zZnnk+AvernOxBtYf3dn0EVu/jmVqQlwv Fg4Jz8DXJ8yc8zNRdZCExDX9AG/sGlb1NPV1vgGRyIQzGfwuonk4BGKifQiVRDrSg9tmgvnz ahVyhuqSprkvtqgoCp1nGU16x0nNMfytfhvwtzlfsJFMUzXtUvvL7YiNub8RocZ1m/IvgHdS EH911eDAPRxHMtEvatlYDzMyj7R28hYKTB/Mzvk1LU2YB3bQ34bVNf7u3cPb193DO3f2NLrp udDtLS1v3Vtb3tbSh1+KxH4WIFHVE65AjotoJAzAU9+eY/LtWS7fetjs7iFlwt+nZbA96bFR ijkPsoIUt04TP0KzCGyusXt6I+iAUdVFn9lf1XVYf804IoiGcPylVLujs9siWf3VeoYMFLXP jKRC2zrC/BxcfwXFGQZfRtoPDD/axCxc3yRYT1BogR+gQrQVb3rqxowW843JvIDhScXYRz9A XOX4/JGHOIOE5x+F4ZjsgD3QfpyMRuI8NtZDqf3NzMl0ZIVhn2iNqDLbqCgU6WtoAPmrBwnJ ik8X08svXnREQxjt318STkcORBJ/l9Z6euOfigh/KCrmfGz5W4jGBRn5JoxSime6uR6Tiurb Hv+RQ/9eokzh10Icv9713wvcJDGxpRfNBfjnasV06NdnS4XfE444UbBliJgW4yYgFSN2Cg+b Kf+SczXuiVQ7hQh/lCK5Aj9eoaI/R5WFyqdFESXXRZCrTeF+xBJ8cSwffvrxCxt+blj7e5NT +XrqZRGN+ljowReDtbs5GNlD2C6kxSuSShIxfw0uHBHEwC+7JIazj/ZUx8Ui9EUiKyYpGAEr ZddA0B22oFhFcIt1BlR3MtggJezeuniGj+bSUR2JARllnoIV85++HohyQBOOoRB+uw9KeeTz u4Y+pFjzqr+9gMg19wXPLTVmu+DA5isndHHpLAqGuzfViyYvjiToUysPXeP4CCe3ZKEH3w4P ti8jYn1MMZwDeeyZIGFBxehnSwXWsGE1v3ngJGxupwcxKQQZehAyxIhVaaeQY2Pb4PbvUN29 e97tX0/H8qn49WT5hy0pGGO/nmkpEjpiHVsK7yfbnoVUE66OmX53RhiS5We4ivEr8nFu2tfM F4oX3VwrBlC/tY8XbCTzjFros9+Ch4T5HeOQinkxlpfNYr/CEIpgzWE8DIr9OJ872Ng6pasG Tqv8ITlsr/rmr50iJizhS2+gSfVcc540lqtfB6zVehO9R+Xvuwe7e8MmFqHTFClGGuBFGBIZ DQyFKY3sHuq5J7xNDnTBfFW6qjpZvSmgpU6FXcZrIEWK5S63nEayiGCd0b9HWa3V9qSYv+tj sOe2G+TpsH00fSQNw1dF2/rWMHoNz6Cd0PnLRlrqwmrV9e6ro/SVQjqiRiiGfSv1TtuknqmW YIHASS+2/MM3GUk25kvVBHQpR6KeigDNUj0NKPt07AMnQ0bMJ581sWkKOZMrM4X2XPPe35eB X3QEdgMIWBgnl1n9Ltg0HMCU3S5Rw9LU/twWu0zUHC4xws/oYzffj8iYZmGl9fxdeSOi3vZZ P5pX5sh+IMNU6aCYMRUURPo1T8rXesQNVwx1D3aSBbn/ppZ0bQTK+0G51e3dbM7ShhzUUzj2 ucos8wppqt2Ko47M9Q9L0l3Z5mV7fO31jOEwIj+ags/IKnZty+5zQBSPW6g7ZayGUzoUcPmm 9ddDNSg3Nfs2G89fsfXygPWe6ptefdzuX+teymT7w606wUpBsoD31dt4k37vFIMesW5jCDaK kXE0Op1SceS3biodHWQ4zUf+CghEtuU6eFFVqDKQAknSD5KnH+Kn7euvk4dfdy91a95AHMJ+ C6+F+4VCoDymU5AAH3tAIIBbsUjPi0uX6z3s9Cz22sXCtgp26YFN+8IHRx0Xu5Evqo3QBgpM llcWz3CvqhRtX14wnKqBWEaqqLYP+KXMgMVV8wSeWIxGD+ZiE6IHx2mqCX+xZvXZcPn07f3D YX/a7vbl4wTmrPWPdfvWeviheJyAe9jnaYuoa5nmY3J/wdwl5yPJHXPh4VxMrxbTG39uEkmU 0tOb8VehknOXLebnsPDvObTREFNkWP8pRbvX397z/fsQmT1w6Fw+/B9l19PcOI7r7+9T5LS1 W7XzxpItWz68gyzJNif6F4m2lVxcme7sTtemJ13dmdrZb78AKcmkBFB5h56JiR8piqRAAATA Mj4sydmbnxhzXgp0Shyfziq2UKRIY75GVS2NYwyCAb0+H6UfYiDAiki7qPq0LqqGq5WdbffR 3Of53z8DF39+fX15vVMd/of+kmAAvr+9vhJDp5pM4O0ycU0o7XIAqThTske46Y+HZ4rKW0Gz 5AGB8U1uRB8x70bFIHmOcsdo9vHlxyfy/fE/IHm4W01Ec18WmICM/04qcR0PhHpgViVJffcX /X//rorzu6/6lJLZHXQF7jm6mWtxplnW/NP+Z9xp07vUKFTWj5WyrYPcZMkfiOgG+vpwihL4 TW+4gMvlPYUxnncy4ya7guslU26XzbHMEuuIvAfs0l2XS9Ff2COE1D1s0TmZs69HHLJTakfI DS0jW2LH//gIis+ONC8l0hDVS8s5BKS4UyEkk+IRqOjUIOs0NRvojtlJ0n25+8UqQF8Cy6IH ZZYfDPy2zn7hd56YOkO5V+n36jOKOGk+6j7q5nTqKe1zizk9eh0bpaWxJasrIup37l+U61lx yjL8wdcCXbM0lCazVLlYKCfS/wunTeswCMTR5tYOltQ73iVNdXFHbQ09Fba/aecwkE/3a0WR lMko9LZmitAEo9WqexknZ7o7mH4GpwiNJc7+jt5HG8DPeXrXGJGzvWQO5VfGVKRoMqoPY22u t4CbbQ4smNIboyTwg/aaVCWfu0HGmbDinZNTnj/iAqc1h7jZLv1mtfDYFpvGisUDXpaVzQlt wvAFCC7dW1QlzTZc+BF3lN9k/naxWDqIPh2YD4JxA2z2KgEUBG7M7uhtNm6I6uh2QZsaj3m8 Xgb0kVvSeOuQJiEfgpEBKaRaEip43wNrzeOvaxcMOTTUYjKk9tok+5SxQ56rqGBEhtgf8xHt tZdWqHn8mK5iTYFp9+kzvBudPlLs6Dp/gAuRR+063ATEmHSA7TJu16apfihv2xUtoXcIUNeu 4fZYpQ09ox0sTb3FYkV+j6Px6SLN/nz+cSfQEv/HV5XB68dvz99BVn5HhR9xd68gO999hi/3 yzf80xxXKa7jY/khQO3/3e50BWeiWV5ZycIECZ85/sIT+QjtqNXUuVf8/g6Ccg6L7C93319e VS5tYvGcYR+ZmKN6v1hHE8bUxEdGskV/jlo2LaaXofVPk2NqZROPQDst5tbbflDQkTsvLdWh jgSK75J0JsUKxqeK1RMz26MqUYnD9oNznOpB9+i79/98e7n7K0zjv/5+9/787eXvd3HyEyyz vxnOst2+01jdio+1LqVNgUMlWg4eajM5JXsyczyuXgv+RgM7Yz9TkKw8HLgzIQVoYjykHwfs 3oZJ9svd2u90VRCNJ9NiQ/bxHEKo/86AGsyjPg+B/bVhMtZoTF1RzfS69uh1JyN5UbnW+OaT I9/uaL1bQg/9ZdEykpZWlJJPfAwgHMOiwZ3f0EaE8X0UqZwYCHZlkXBLRIkoJAUP2w+n0QnT jWE8qBhch2unTDmrShSjFw4tfVQs6dxyFDzEYE5CdlGdnhJaej5wJqkobpgtH94LP8mSOX2U J7qDUH49q5lRGdKZ2mdOKi6ynAh0Tr7AzvXl1z+QoTf//vL+6be7yIiGshT3bqF+tIpxpomO BdJeXue0SEDzjrIoRhugneS9285kw6zeoXYePZnRJiYJllYhRUQTzYN/s/xUl7XlBaZLQPUJ QybNlFF9V5dREpeUG4qB6swJltfAzv6lDBLHi/LSIzsaR2dxymmSqOuT7Z3RhNs/FzOdUl7/ 1qsfUtAqxTB9lBUgBwVgYZ+3YUkXqtafch21sxLNOeiWjZ6lT102/BvXUCXXosKck0UE/dQh gcxhm9HWPqqjhNTsDZBOWkCO7VE0IM/HdgTEUbTBMfGvh5EHqAHALS7lydVixSqzRyaYD8rR PZH2iEDieDyItzlFl9SyCxlEjGPjXTQ6UB7VsNVRvhAmCBBRUVrxs3nWNpfJ9mSS93TCOLNd EdekH8YIU07WTxH74S9MCkggtv4KqDMfjGq5SXNu/IpIItXdCPxZl0WZ06utsNsW1/aQfmjF w1oiY1qMtivQKjAcnXww7sqY9tF8/EMcbfDT5tSUhxiVMm6N1/nsaqzhdUAsIztUo5NnTZKa KG9O9klE0x52KftBmXVTMku1iSizqN7Dv5SZ5iYno8OsJmI8S20l14JUS2mmkceirJpHO2PW Jb622ZjrTOuehcXW4ee1PgrG1Qap6I4YjyJYp81exFNhhwfpkusl4BLbDoDl3NelzSaEISVq xWSVDaKwKK9arjV2Uyzc2fuhLosxgFhwC1ZjhNxFnKdc1/A1P7WOIx0ThX4rIA1/ANgFMLSM YKzAM7uKwsDiRGdGQUkksC3bLmaqwBBEmguUmOOW4Y0ytTgc0BXoaC0PbfUU4g7LJ2fCty9z nIGql7ISzKh3pFWIKE94Wifl8YA2DDfb9Y4FwDrYtG3roocbF72T+ZwNrMLQYwGxAImQf4NO MhvTeyYAgmD3dIs3VOEy9H22UaTLOPT4XqkWVqGbvt7M0LdMt1VKx3GnRVxlp4ZtUUkk1/YS PbKQrEF51Vt4Xsxj0KmboXXyzCzdWxyYF9NCyfjNBjGEb3lASH5OBpmDRehUYBH/BpEMF0t+ NT84W8dUvjK9d9DVFs7TYRt3jgLupjxRpt6ipRkIqouwfYiYf/gZtMymSVl6t8EcgIv5Nf6X nQKY33tQqbYBE4hcVcytN5mgjmkx47YKNlJOltZOpZJxR5Lm8Ei8BwmekXOQXKWHqGE8DJFe yyz0mBOYG50+IkE6yPWYupqlwz9ORkWyqI6j3veCQhYVtmTRhWxcEsq4i/BBhU9yWKJGxIZJ k7aVQR5daQDlccukzUbK9chMSxzV2dZjzqyg6vqeVquiOgh8+jQNankLui+XuFiuWypE2H7x kVNLJDfrOFhM7PFE3X6Ds2yBK7qjUO44O1Jes5y8gsQ9LdiZvYlFE5f07Kr9gSfVoLpbanuJ pyX0BxysurT3M73p9oPbQzPMxyhBi7GDVFQZM9YDuUEXha/T4kqQrfErd4CwoSUDQoIigE7w NK+7iL1I59ZWniYi0p/crSYsr4VHR4oj7c+Fg+ZTISfmE+uoE1xvG4v0W1KlsKrp3cuuB/wt 3BAVgYJfspnuTIG3fny6TRIU4RhNCnCqzUnri7kwpb7pbtWNqgKHbenxquUlDOdeu7HMCPDz uvXmJtXOkRBfPH92eKX1mEvm+YFHsywgMXsGkLjt5JIxhxlmH54ek2iygT4l0Hu6K0jyvPoy 06xSMtLCNo/eAskunFNdv7PXGNCuWmQkkxqUYmF7SuuT/t9VMpnLF4yk+us00vJvd+9vgH65 e/+tRxFa14V5rj4G4jqvMjoQkUo3ebxJyOT3Z2urgJ/XauTX1J1Kf/vjnT3gFUVlZihUP1Ug nKUwqNL9Hn24Mjr6RkPQ/Dzyu9IEfRvqPZfgVoPyCLTedgwa4gde8e7KL3gT2D+eR/4+Xf0S 85TZ0b4W4JfyUffOKk3PZJfT84iHGKPJBYTpmvfp466Maut0ui8DuYnelw1AFQQ2t+FA2xmQ vGc8zQbIAyhxAcVxLMRmQb7Kg/Q9xro7YJIuMLxeh7QrzIDM7u9Jv7cBoO4roPqBBLX0mJj5 ASjjaL3yaK8YExSuvJnx10t15oXycMkImhZmOYMBbrNZBjNznce09nEDVDXwYDemSC+ypHnY gMFEAbhDzDyuMxfPgGR5iS4RLcXeUKdidh3jJV20K9ZtXnP/KstTfBxlMZoi2/nvJo4qz2N2 0AG0i2mOb3ArBx2YFaafodURDVF5Vyhzf0fGt21AjzYT8RqF6IeDt5UK0z/BpEdJswlXVgoV m7wJNxuyfxMYvXxtGM0YLUztgSgw9s6igMohM7cPA0jAVS4/8AonYDCijQW9Q5vQ3cn3Fh79 SU9w/vywoB0H8wKLuAiXDFuy8I9hLPMDd9+fDZWyqfjTwSl29TFw8lhEVU1b6k3cMcqr5sjd imUi05TJlWWBDlHGRMJPYeiUKyLaRGCh23i5YM5ZTNz+9IuQDa0+mLhDWSbMzmENjUi4GxhM mMgELKP55pp187hZ0+zf6t2pePrAbNzLve/5899NyoniNmh+pVwiNL5fwgWjYEyxnAeniYSd 1fPCDzQJu2vwkUWQ543n0fuQBUuzPZoNBLNnWVj1Y34h5O36lF1lM//Wokhb5hjNevD9xqMt ktYWkhYqy8D8LCegQcigXdDilwlVf9cY/fEx6EXML7IPcu9LItUp1EdWjzIalzleuc0kN5v0 VIDEPL81wCQq7jQ/R4D0J97ZLI4WwKe4+e8ar4tjEomZTEdkKZM7z4Y1HxrvRnr+cn5FNjLf f6Rzp3ofxSnvD26B23DNpOuyhq9q1sFiM8+On1K59hndwMJNLoOip6M85p1AMd+meGgCRnLt BFPBMJE6F1MBQGnFx+fvn1WeDfFzeTf1TmbX8iHK03HoxeD/SDV685MnjBr6mb89f3/+9P7y 3YgL6kdBGvmkrHsYtZco5q4oGn0fUWMiewBVNlyh1FGOFxJ9K8Z8x4l18wWma92G10qamaC0 fZ8tHKK9rFGOMrzyQ2d5YVyBYY9vaLWku7cb9HW6IgbOSdJbJVN5JDEjSZdSvytP0vMo6g9K 7ke3/nUR79+/PL+Srgz6tULfNlPoILO3339ShB+6ugogICIuujaGS8TxziI8gMWjCeJ1Onh/ mEOUTqfYolaJFZtk0WAEIyZZiYa5NOcOAnLLkvP9sSD0Z95BTlEts9HWZSPsNG1GofH+k+6L vWDcu3tEHBfM8fKA8Nai2TBcqgOBdr3mbi3vR1y7N/8iI3SNd456B52DiX27bhmbVwfpzrer ZraxqGaSimjyvsmuWTXXiEKJYp+l7Rw0Rvc4dVmNOIgYvlVaHuonAZMSxSRnHn2towWSx7LO Jta6jqhud2BOyuHTuFa1KCTNgI7nGJOe0jtXlQtQJ4skI3NkAffVlwJZB5N9ocrUClsUfR3p DTY53cXECo40UTKGfxXNbGGVZI9cFNh0DzOfqbtcn2CCbpdNTngjSlRTa7+Z+Ql+XJWhClZP aRcPF3TeBhhLjwBmkmkinU6hjRSd20vtEPaDouxQ7m6J1rDTw7Zv3717eyl9R++vmJSpS6Ly 169vP95f/3P38vXXl8+fXz7f/dyhfoINArOr/M0agv5+davz+qL0TF8DBZ0V6PrL2AfUYKAT IeuPiIgkxVyQKo+aM9EEYtM8PfvM4I2/pL7sqrMjiuIXPg0VYkveXIvkKo7m+1ffLxmREYiN yCUTgoNkzRAnCzT9Exb478BGAPNzk+NsP39+/qZW/VQMUAMqSjwsPDG6gupnuSvl/vT0dAWt jEnvDTAZlc01Hee7MAGieBz7EajulO+/QQdvXTaWoRm7wy7k0cjJE53TTBFxMTpWF6aYY81x Nwh+YjMQNhrV4CFGvSVlfdUJ5G7svuJP4VUOD5XwyhAusCwd7qNBpSx//oGLIR6yzVD5elTQ o9q7mQdNmLYu3GIq1ohMHjHU6pOMTGq3OtgyLQ6cezeSXV7NRroTln7jHywE5Kgr7vyubCks j0IiSg+uyqX+FFh672nIAkCUC0WzXtB6u0I4BEZcFFyeHyS26MfBUyeMxyI/PRYPeXU9PIwG 4LYA/3h9//Lt9eVPWHqUVoG9O00ZG1atvr+9v316e+0W8WTJwj9uJ0Uy5hDBiwD5NPWIklm6 9ltGGMWHsAykqXJ6zo9kOuzKzkIMPx1eUYWsEDEZFiz79PpFx+5PRxMbjTN1J+G9ksfIxg2U UjrnQOPFP/Tkn+pKuve37xMZo5IV9PPt07+m4hNm/feCMMSrGlUiQtN5RLv136GTAnsLgOFF 8vz5s8qTCBugetqP/7VGw3oS5moI/Yo5KJ5ix+eOfW7GyZsNLyYKFNqNGAVRwNK2fuNftiqP W0dXk1o0mjIRtsxymB3aqjaAmLjrnp7Hlb9sFvSxWA/CK/GYKN4B0noBoy0PEJnv3YgyTrOS /lx7CCYJh1VSixOlanRXbuEloSDdg5SvxLzjbRrwtxU70hWo5FQV+tnq/FWB5/eIct8LkKMq on4YB+zpKWU3DNWbySXU5qVbX5+/fQPxW7VACHGqgc2q1SE6/DOmG7pNd+2cCpBcuDsbtOAs 8X8L5ohUQfpUu07JWCNr94Adswu9hhU1K0EVP9N8TAHyXbhuGJOyBlQxOi46ZizKoyDxYQ2W O/p8sp/YmHH+UHTHbqroT+nZOad5ct2PD7LsK7ao1TOofar05c9vwF+pVeXymuoABZNYQE3i BWbaMU3KB4exuN0AvmN4QM3aBowS1QH2YeCaaFmJ2A/Hi9YQ1UdDpD/MfeIYuqME1XO6fPtp mdYdBJyZ6YCP3FvTrL0frqU3co+lRpw+mtWAeLkMQ8eUVKIpmWwvekHXkbca59XqLVzTV9R+ iKASEq/e1SKo407DDn2i1+GFfteqvKDl5Ew5XWoaZtgzDjOMQq3nqIJyv3dA+iZGTzUQPRNp jsmFkbqMKhhkcF8WTNjOCNhI5nodA8ey2DEI/5ScHdQEZzL2t0zIjYn7aHsYUhRJwckZBtLB aKewYfZoOV5j6lRl5WavQMHEeTmHsh6N94Vkj9OVoMsdUn+FkZUIpb+3bjeNkhgvIoLdnVYp VSp8vhk0QGJQLDL7BePN0jV/TRp/w3AHC/KBVuhF0kOy9FBe0zMTqNOBmh1z2Uz3Rhy9r797 8DfcJt9j0Jtls1i537kD0a/U9wZA4ZbJONhjsircMB5APYT9aG/PwRwL7rnO5HLNBDj0kCSV ygKqXm61ZhJT92gYypUX0ENpYvzA/XaI2SxpnwoDE8BIuqc+3y1X9KP6STtEp0OqOdbKPRS1 3K4Cd59OceMtGHvM8ZIznAmT0+QRpeddIryJqzTOs/uSSWqrgVCUl+ixPFHWtwGjT3PUEcc1 LdDTNSEege7ISseG1qxLcXoAra9cnt8//fb57Z931feX9y9fX97+eL87vIHE+fvbOKaja6eq 0+4x10N55hvkU4s35V4O7fFiiRPRHS46MU9C1KhDOkG4qdf51l8sSJyBgp1/2xKzrCWClUm5 rbUuk7OzC3t5SSQoYW5UcnHTMUPmsp0Zkhx9eH0P3bsmMwdC20+/Pv8AxWOYw/j5+2f7Dp5m V8WOcWowBrhsGrEbnYmTkYi7OI9I+G505bKW4NEK+Y8/fv+k7spg7wHYE6nmoSyKZQgsgUlq h4BmufFoptKTfUZKytWODnoXk39W1Y+kH24WXIY8BRmM8UY6kX2XIV6Zt3VU7IR0zOIkpghN Ho/HAYY22C6YHVQBkm2w8fILbZRVbbeVv+BdAxGS41Gsa6xFzNjwcnXRLGy6fA+RHPisud6A uLqoIPQO0ZPX9HwPZPoVOjIX5q7IWcE3ncfeEhOEuN6vx7he8CjWK/jUcUTpPU5iMnF2JpAM zXPWAHyCeGjWjKqP5Ps0d9UOwyrnctzd6PwMKfqaMVbqRQhSUMAEZnSAzWbt+Gg1wDGRGhAy N4AMgC2/UhQgZMLbOwBITs6XCLdMeuWBvp2pv6UNRoou10tX9bTY+94up9dY+tSiwYfJWIms 2kk9C7wQoORc+BAC0ggT2g3EKt6DfsQcFyhAzpoMVeMyWDhq13Egg9BBvw8Zi7yiFoFcM4Es SG/S2JGwDgFitVm3M5g8YGxHinr/GMInwvOicbaxm9i0a4PFdDezK8u84vY6rbCPNycprlG+ XAYtOmBzcVAIzKrl1vHNoE7G2EC7x2S5Y9VEWc6k60XHZm/BKE3a65mLN3K5RKtOKYCDlWgA o0QNAN/jv1V8bxgZx9baIYI1z0+6pzhGFwHheuZNt8w4GQD3/j2AXPskgGCLWTKBLZdstVg6 FjEA1ovVzCrH7AKbpRuT5cvAwUdkvATt2DFgm2y9bplL/1T99TLczAC2SxfgIW8dSy8r42MR HSImOxxKdLV4KovIOWM9xjVhlzxcOWQCIC89t9jTQWYesgwWc61st7TdXvFuFWiQbNjsESYI JFHHLjC05AA1EqU4Bx+fHsn2RxcupWnIBpIeTlkkS+smy6GQTyIyIHR2tXOZyeiQ0o1gzomT 9r1tTpxXww2ON6E2Ffrhf7ACSIMHjuncUKgFhgxzM1BJsGQkImNUoq3P8LARiJ43Y/SiIlgG jC5yg7FWxBtENNl2yYjMFmrtbzxaPbvBcI/dzPVdgWj5wQSFG0ZPsEGzY5BpVvkB1HpDs7Mb CtWDgGF6Fipcr+aeqFCMO7yN4o5aDFRcebDRz8KqgEvhYILCkMmYYIIeNltGCzJQoAfMLuVq f3pKuYgMA3YOw8XscCkUc3QxQjFSkYG60J4LN8R/ObuW5sZxJH3fX6HTRk/EbIxESqQ0G32A SFBCm68iSEmuC8PtUnU71mVV2FWz0/9+kQAfIIkEFXuoss38CIB4JBKJfPD4AHFk5wriQmJe enNrR6C2znpuygvpZLPyEFe+Acxz3NnuUvIh4vg2hiGC6Ai2uqttm/kvPY1to3rM9JDTbmwQ 50teuKl0Z70S8Nv1y8vT4vn2bojjo94KSCLT03Qv99ulpJOUxJkQ8E4txLy1Siw4iZRi57oL XBAIgzuP42FxByoQR8A7UFlaFhD1xeTxcWIhzepBtB/16LSOHdOzxjeiq0NRSHiyXHoqjJIC EpbKkGnpgZqu6mUV0TnNQtqNqRxOU8ZG+XngXmzohL68zjbJFNFSNc1mKNV8IM8pNYXdachS n8qGoc2g7oQmDlwqN1WbaxA4LQf69BamyeUGmVST4B8Ql691ARj0R/CoUnS3WeSx1u6ryBn5 rPXPDeMun4uPyHJuokBOc5hj7DAcsae355fX16c+/+Xilx8/38TPv4sWvX3c4JcX51n89f3l 74uv77e3H0Iq/fjbdIh5tQ+Lk3SL4TSmwfRyAmR1+vZ8+yKL/3Jtf2sqktamN+mS8Of19ftV 5RL+aE1Zyc8vLzftre/vN0gy3L747eXfo55Wg16eSBUiQleDCIm/Rphkh9htkbvoBkEhGNPG fBbRIMgOrRAJz13s4NQsAe66iDaqBWzctVkA6wGx65j3vqah8cl1loQFjms+bCpYFZKVi9y9 K4Q4f/m+rTEAcM2STcPLcsfnSW7emRSEZ+ljvS+jegRTSX9D3s2Y6dTghHgjMzsJOr18ud4s 7wk+Ko565j1aIfbldmX7LkFHLvY7umejP/AlFrGkmUrx1jv5nmfDiM/3scg6OsLW++Up36wQ yUFDINr3DuFjd/gN4uxskcAQLWCHmXhoAFuPAsDaF6f84jrD5atNFuBATwMGZZxu/gqR2ZrF eXE2Iz6j1XF9s5ZsnQ8SgQSt0yY1EoBYR8yV4SIqXQ2B3KQ0iIft1j7ljnw7CiyqeuTp2/X9 qdlMTHlU1evZyfGsrBwAyHGrBXjYdVIL2Hg7Wz9lJx87S3eAuUb6nnWwoIqZEnb2Kk7c85CM oA2PKXfJCjlNdohyhcTd6RCn5VwZJ3stvFi6yzxwbR9T/LZZp6vJnInFZNGEVvkskmnh+/mj rcCXb0Lo+NcVUnZ2ssl4V8xD0a0uopjRMcMNpBdx/qHqer6JyoR8Ayo/pC7Yv/yNczTIomGx kGLcUISCfJlXIe29XW8/P8ZC1nSZ+a6VpyYbx0fO7Aow0c1q5t3/DzmwM9eeNFyzc56+oeRc oBFdHO+s9SdU1Rc/P37cvr18XBfhab+IWrm37cnydnv9AA8oMU+ur7fvi7fr//bSsV4BVpDE HN6fvv/58vwxPQJLx5loP/X4ZMmlZnl1mt5WNICwGAYpgSNVLsTyi9XlXcKkxwzig9gDhHQf IYnaAfSQ8MZFXoud0jwXH9SRDCWLdiYcQj3mmTjZP9YFjUzHT3gh2kPwBZpUKsLNsCpFhBjE JI6z4NfVcjmsTgFiSqRbG6/5KFrCAAwxCWpxxAmNZ7ZxRwfU5FAMxIM4YYKxFNY5A1p3YGp2 /cVtcioa1KxCGgg5yizktBDOYsyVoYWAGy4ceHZb8w41wY33Qm2VY41X3K5ITNs0lH8M48Bs LgDUhMSsDhnPYyTaquzRTBxLibFlesWqJUG++EWdL4Nb3p4r/wbe2l9f/vj5/gQXL/qivu+F YYNOB8scO4kJgBLp5THNcHIVIlkSBU18KglN3uSSODA8G7xXBKQAa8VjiPjWdqD4FOJNy7AY 2UAsGdSMksGbOwzMN/xA56XJ6xAoOUklz2xzlX5/ffprkYtd73Uy0SRUhlCyuzz02PH3TgAq geW4QxWNQYiiB/Fj5yJ2iFo5KnRSHYc7zA5ea5XA7Zfu5hNyjhoiD+uNb97Ze1xKxRKPxbFr e4wR8UsDZyfI5lCnpbtbIhcaPTqLWUIvtRh9+DWtLiw162emncE96rnJXG9o6O2WLGvx53rj 0AixojG/SMhsNZQ9ZPXaPZ+iFWLv22PF3pvXMV+6/skPz/MtYZDkkV3ENPf97Q7ftBs4aEFI cNl4G/KAsxkFLnNQaS2dbVlS5EJ6Al67SUnJXeB8Gq+3TwKsr0V97ewLFh7ocFNUZXaUwXJm bej8xf795csf0y0kCGWuU5x7NRsIaEVTPOaMFADEkhewEAkLI7ckiGV3ZLkQJcowv4BZ54HW ++1mKQQ1JCspvAebaF6m7hq5GVLdUJCQ1jnfelam0aEs3ELs/+If22IGkwrDdkvkeNrSHRcX IpoMvmrccO4P2STF/4Hniv5dLZGjpoRm/Mj2RJnY+BbxZQQ0K0QMQLNGVe1RdRnla0Qz1CB4 6m3ETEOuodti8nDl8OXKrBeQ27G8zxJLnqQXD9PijoFoJq1WTAONy2bMwEfrcbqYxlstvoxo mZITw/kTKYL8gO/iyYVHZi2zFJmTlVO5yFyFWC5SWLxs3Y2PhGZtMGLj3TmIga2OcRGXJB2z Rga6xSRMsFb3ExLvtwEVNCc5FmqtwQjWj9k2aBDf3eCsK48x3YlkbAxJRtdw36jIkIgtalKH HBf9pim9pnJAAWFN5Pmt/lSx4oG3XD56f/p2Xfz+8+tXCJQ0Dn0qTpFBArk4tP1CPEuzkkWP +iNdCGvPbvIkZ2gWFCr+RSyOC7EdDEoGQpDlj+J1MiGIPjzQfcyGr/BHbi4LCMaygKCX1bd8 D6nRKTukNU1DRkz5c9oaB7d/4mFII1oUNKz1oBniOcTjiSEo9eApeNM2R1A+agFIxtCwkqXT PDKD4fqzjRRmuAwWBdlTbsB3rELpF2H+yok+BN5IeFAh4UwEGTsfwdjtBY+5lOsNcusmII3N G0ZO2mTc6OfI3RClcvGxY8eAhjsbF4Hszf3T8/+8vvzx54/Ffy7goDzJh9RVATJ2EBPOmxzH hk7tpsIA2M+Lnq7Oi+PjYk9vHKOtdeTnxPyyTAV+xrLeaI0I8+0WkZZGKERB3qPixPXcpZkF jlDmCwENlG83iEm51kGY9Z9WzmnjLP3YfGruYfvQWyH+JFonFMElSM0usFqN4y5vpt/MJBuY GIwYR0MC5UHL0YPb28ftVTCFRuRQzGGq9wyrJHmcRiSOCpLQfRUJbnYXsXGjhgisCSkGMQBM 6CJT25B5mRqLb/hqSR7oNNlZq/u1f3QXcTo7aNwZ/qrlsVjw49RMOB3IyjNSgrgqHWctP7hp xUTJ3Dl6ZlWquSHz0R8qkuzwUR4kwwdhQlTkwCnpNxI8TJ80cdlHWcqAmnEO+lwD+2hq7ho0 eA3ys4DDobRZMqlmANTYHtVZHNZEBkHUiy6yoI748OEJnJYg868gRnxcaU9FI/zKtqHWVrJR 9FMFFk0mky/59tQSSj6GJYIWSiDcHkpNypwgkfpkg1Qs7ZW3QS44ZRl5tV5O79KO4X9Jjaiu J+2e6Z91hOgakFczzkAh/Zn+6q11Oim6yJnkx7fra6urXfwCzrUDyyMJl7sSCXa++bbJWMZg boyCYsoyfTcYZbfQyJCoc/QGGLjhhkYtoiIrRPPTIgLCyCcrwouwHEMt4sggGQQK2Qehg9nI tkXkmXkf1uhHO6LMUkM2hBHoRMSEM0l6clyyYLgkxYMu+MqY7wznsQBCiC5Q05vLblyrxzV0 j5uo90aSqBojcY6+xbm1UCAbCoZgRUAlye7gLJXB1AorA/xdlmtLEZfNTAlSAgynq6HvFcwR eYgrOd1uljA0mxViIjZ8gTko586AtT8UmWTFpZbsWPKi4Ji3BYg/ggmv7MNWj6pQt8m3oLEr /Hp7FwL39frx/CQ27CCvuqve4Pbt2+1NgzZpVA2v/HPMm7jcWAR34lh0fA3ECRK6Vi+oEiOA RIHVi0L0ngNMHiJBpXUUvadVYlKIs64VBtfW0PjK7OJkHYhhaTDSR+Y5q+V4SA2VWjZfmFfl Q70vgxPHWZlcOlkEd9IxPdF4OoXK5OX5/XZ9vT7/eL+9gZwlHrnOQrzZmITp57L2e+9/a9qe Jm7K3Nc3MLkrgQYhkQF47nllfmpcyig/ELQJny91GZqu57qRAc1kt/c2ywYU7KakKS1HF1u8 RQ3fwUJSrXzLNtuDvEn2RRyIBpbWgKgZ4wC0Wm3ro/lKYIKbbd7DeoVYRuoQxNNXg6w3s5AN kjRKg3hIQjAdYtkPFGTjIkpPDbKZa24cbDzEjabF7ENnO4spax7gMp3cM7m7iRHz8SHGXpXC 2LtYYcxq7CHG3oMBXzvxzEBIzGZ+hSjcPWXd0SbkWlrHIJ6fOgRR/Awg932YP7/wAXa5zC9V gXNXiJGijkFuIAYQszaqh4CN/0xNF2eJ2aC2mJD4WIa/DmKTBwFAub+amdQC4sx8NOVbFzEr 0CHO/Cg0sLlBPZSJN7OFsDTNIJXIcmatJeSy2y6RSBYDkLvxzbrIAWozw+8lCLn7HGB2iMX4 sE0zK1LVZp9rCRcHk5VXn4OwdcSz4sWxYeUhsSx1jL/dzY63xO3waANj3NzEANzWu688wN1R nrv08DgGY9w95YnOw4M4TIB3lLhZOf++p0CJmytPLBkXCZPQQcqNN7PcAYKEBOnE9kMZo4lu O5AyViDifxaxGfGYsyJq5Ol5OXReiOY8cTBPfx3jLfEAKWPc3CgJ3Hozwx14SbDo3zrEoiJU ECaOtPYjSkm4s5mRHSQGieKmY/yZXV9g0NA8OsZHvE8GGMQkQcMIOdfOp6XbIeIl1mEissPS zXeY3l1vdvR17NyM6rDuCktMOEE6l/X9bZDo+1txVxvC4LJCzJ86JHeJ4/i4flSBlFg3D5o5 FEkvyRkB6JxsN4iFkQ6ZOapIyHxFSCwGDYJF0NQhQwZuALgrk1JWUuzMByAz0iBAZpiPhMz2 1xzLkBA7xwAIElNbg2yX8+uigc0tCKnkxS4mOsAa6f3djKgmIbOfs/Nn59nOt2/xAEH8EVvI Z6m72nk5YvWoi6A+4rHXYUrPRQJvDyAzUnrpYQFiWkhKqu1mhgMBZpL6woSZ+XCFmdllcuKJ UycZldReUA90bqO3lWQUYIEbAaNkoUNB8uMEqC4FWWjwbWKDKwbxZx9avixoeiiPxhoFsCBm xVl1NBp1QdHNjVGXjO/79RnyvcILBmUjvEHWJR0nd9HJQVDJHOQWRDHWc+vUHDMI6qjMLIdK OkcSzkpiBfeqKHlP4wdmNnJQ5DLLayQ7gwSww56mNkRwpAWSDkGRmfjLQs8KTiwfH2QVFsAO yAkJSBzjxedFFrIH+oh3YCBjWeBk0b0lO9Ga75fYKpc4FeQDpYt5fMjSgnF8HlBwl8M7msYE H0gIv5GZvQAU2azRlLTPon9Q6oEme4bwA0mPkORSQDxmcUmRbMjwbultXXxsRbPsi+7hEe/M KpCpqVD6mcQlYjUB5BOjZ56llgIOjwVuQAQABtFrcGqJ034jeyQKN1DLM0uPlqnwQFPIGFda mhYHeJISSUds8hQtzU74bIJet/LShIhhSbLKshASMTaFpfkJeYxiwvE6CqqWG14CC4oMEhrg iCwV25NlYSRVXDL7/EwRI3pFK5j5qhKoWWFbNzlJIZ9FnFnWZU5T0ckp/oE5LUn8iGREkwDI sY74ZEq64EfSYynAuZ40xsOrKMCU1rJIiiwICP4JYuOwdVPj2oXTbfuSjCsVs9RSfEkJzvoE lcZgXYWYPUtMleaxZW8vsCynwH4KSlPCLTsXT0hR/pY9WqsQWxu+lgWD5NTCCsCh54B3QXmE JO8qUzLOp0HAq3OORLMHhBN9pgXeyjOx7XxnxpLMwmsvTKwTlAoVW/vv82MoRD8Lp+GCG2dF fUQSZUsRLs5HFbQmAwbBtUvjZpSzlS3YRNbOmXkQG/gkQoCWD06vps9xP6i7Kw6u+I/jqvSM 4vprncGgXoHWruwYsBrcD8SJRDlB9CZMWmy54UPIpzyMTw5PY7DaxditNNKLId81Msyq3DSd 2HJr9CbzKa+PQTho0bB5JE0FTw5ondJzY3XfOcAMI3VA1zdWR8PRDWlExM5Tg9014+X4U3HT 2AEsK/HOELT6fBScNWaIK1CL2sfSpJyX6PRuep/L7pfZm/geiQiozCnLTBx2xN4FdlwxefzV GZY1Su/UL4bbx4+ZTOtyGD3/slzCIKGtvcC0GwE0Mm3I436XzwvI9SS6oi6xD5SwsoTx5+Lg ZC4m4iaLaL32SVLiAdGa81WO3aVyVstjbu0IxvPVyrtYMZGYBWCVZcNAqkxIaIL3adb3qeGp 8Vuzu7+Vx9vVpPIBotgSz9vsfCsI6pKxIMfpB7sp2CTOCl6fPj6m+Y3k7B6arUqjWjAmR3ZH oJ9D/MvKYfIO2ZBUbHX/XMjvLjMhAtPFl+t3CD6zAHvGgLPF7z9/LPbxA3CfmoeLb09/tVaP T68ft8Xv18Xb9frl+uW/F5DpWy/peH39Lm31vkEE15e3r7fh5zW48Sc2jy2G8ToKlBmYTDco jZQkIjjTaXGREJMw8UDHMR46yL2hDhO/I/KojuJhWCzN2skxDAmdrcN+q5KcH5HE3DqQxKQa xz8xwLKU4scWHfgAoURmUW10UzEgwfx40FR04t5zEGW+spifWu3CAmPfnv54efvDFEBG8pkw wNISSTKc+Cwzi+V4Lgi5dYQpIqPK0iWPCBGTX7kxn5GETQ3RrPeVNR+ZkN8oPhLAqf2hkrrr NBCrzNxIeX5MVqvyBwmU0xPCsBtQr2Y1FWHxgtRQhBUB5EacxRUP7goxENBgFnWn/nVHzORK A0kR6Ehty10Bwb4FNMQ0xr0f9MpzsWOaj8Q6qllVifl6QkPSJKemNA8aJCpDJsYjQ0bqxDgS CkMDsRxxUtExs6XQ8HBXJ7W4GtGg6B+3XTmILeYQhWUv12e04Hjz04flyI2EBqnM8Q80CCil c5JC5uE7obOwGPEB0DHZHuKBBLMjkASlOHnPd6z0hp4FZdzHDChGMCzosg67VPfMoZScEqPn vIbJY8ddusi6yErmbZH7QQ32KSDI1Y8OqkgMh9M5HM+DfHuxCAUNjESzLJMzWhTkzArBmJCL CR39mOwz8z2ShppfjsHjnhbg9TkHvAjObxPMmjHIUR27jkpSJqSaewoL5ku7gM6mTmaLOzN+ 3AtparZreYXl1tBnSDm71qo89LfR0kcMffU9aSxsdwLBUM1guA6VR8mEISYBDdXBd2ISVqV1 PZw4xc8BkI28RO8mJMJySmt3zeDRD5A0nwom00HjAlWI30/IYy/sp+h1nOwEuNK1xSuUgDqJ xGmf8FLltsb7jHHx43TANwokX6c8JhYkDeiJ7QuCRbyS35ydSVEwC2IcAHSkfOC0VCfkiF3K yiJJMw5BCJAIWQB4FG/jE4h+lkNwwecnaGDET2ezQlKnSRBnAfzibpCItzpo7SEW2LLvWfpQ i3Gmhb2LxCBnfHTV2i3L/M+/Pl6en14X8dNf13fTukyzXBZzCSgSewmoMgX3yabKhNOCixi6 y+NXPDZH0rTBSDP1nfVAhOw20UuqpzNKAB0EoXSQq5Mp1ORJqqGgP+AC/vyrY6C2R9O0SmoV 84EP1I6WM1E/fNf3l+9/Xt9Fz/RayJH2R6mxBk/AFxZUCuPeimBiWraMVu9WIcE05dcVVnKr 9UIB+YU4SOh6eeI9WYsHsoszJZ7m8LpU3+FlQAPxZb4PA2sThEDgOEiSM234lQMkfjSX0Ukm qkF9TRjH/j8GHGIvRJ084+JEOZwCUaMU1NdffzIfAM1Psz29jGeP+jXCFw96nSZnJRrSQHJf xFBLdmidBvimqrrb0qqoSgMQ9iyQBKIVtfpIZMkjio2EiT1btcHyAXP62CCEvFfNUFrKEaNa I+F9FUBaD1jok2u0ATXcH8ymK4p8pvsAuZouH3PEiUEyBQh0w8+sHGoHG0SSaLEM8nPB6Sch Cw5z1TePebj1t76hjJbeRszti673caZHj+keNXdZv277WiDVUl0RLL2WeHO8E6srNpmlSSVq uuPGCMrBkmgCjYfHgA0bLB8JrlZGA1V/T8rEii8IR0THIQ5LbTVEjW5HBsTwHCT8iKRL7YC2 LFs9KoKfyMmjRyUs3lNSme6/ACS3vGTSa8NwLLLfzeIhkE4VujcCubJ9cCVayTwxzfH3g0/i O1DqkZu1YEBLkLBAfe9caIocP7VhwwJo9xCSeIgPQkITLs64D4buhytnuIrVYkjBxayM/6H3 fv+0xo2sJGhfgCCf/h9lV9ecOM6s/wq1V7tVO2ewwXxcvBfCH+DFxo5lCJkbik3YCbVJyCGk duf99UctW8ay9Zg5N5NBT1vfarVarW46cC3uSbxdzf22PTDZkhnEWZkDWw36tjM1n2uKMtx4 hN6OXQmAkqZoStbvW0PLMneYJPEjy7H7A/RwTNLIWNC3cLOwoXD0Dr7Cp+AJliRIXTZtlFCH SfBvDaOMt97RcMLBW6wSdxzbfFS44ubjU4UDRUKJT1Cce4Wjl6bXPgE++CqCEdD7SgKPuZY9 5H39YYKWhe6+UKZVETI75qVnT4BriKJp+cABUZEKgwmXUbzPDoLIdabonVY1JZ1/MR7ygRVE AwuEMK/TNN5FNRa2vBX+8+X49vev1m9SJs7ms15pRPr5RuEgDKZMvV+vNmS/tVjDjI7VZhlG 4vyBu4CXSjyOthnQM0mcIlV35E72QA9AxCu6PxT9uy4Njox9k5+P379r1251S5gmH1YGMi2H dxqaCG6LroI1wjg3SQ4aycIXApTYrHNYWuUx8nZ5bmq+8NCImJDvN2FuchGs0Rl5mQKVAZSh 14/vl/2fL4eP3qXo+uv0Wx0ufx1fLhSNRMbr6P1KI3TZn78fLu25V41FxlacHBb/RPtl5Nrb dClDNuUamTi7orA9jezoEU3HMqi6Hp7q6OaS83BGgSrMuspQ/LsKZ2xlmlK+4KBCrEvI6Iy7 2bpm8Sahlplelrt0INYTlBRSS1q4eSIWuTFReaz95Xx57P9SJxBgnixc/asysfFV1T4iQXI+ YauNEKuUmZ5I6B2V8/Ta2iZCcXYMqLCgUWuZTl4lDckNr5j19N069HdN/5h6rbON+aRD1pZU U4Pgpb5js5nzzQc2DVciP/kGApFXJNsJuM9WJB5vezw2kIAnhjWSEYpZX5IsHuKJAxT/iiZm 29EUxQsvaTLuuIMbZYU8smwQmVWnAW/6GkQgJnxJtBUk5ltBRZG6AXwwrNH0b3SQJBr8DNHP 0ICgqdVoDK0cxYovSWZ3A9t8sFIUXIjeU+DUWdEEMXTFU426mMjgjWaNxAFuSuq5gLADisSP xbGnez1kG0HSPbmyzWQC7i6qjvHEumtHu6UHxze4A40LEE81kptLdgCEYI2ku7uIBIQY1Uhu cxgQu1BjDcDIqOr1KXI0d50Aw9tzZITC8GosaNg9AwpW1t2/YhHa1g22ELvpeGo6AMndqO23 j+YPRWz8iV3G4wNkRKLX0KQs1BbD1LVV+enL/iKOHK+3CndjEEOtNids4B+kRtKKpWIgAZ4H 6nvXxNkFLA7BY9Ua5RjoCa4k9hDcR1YLP19a45zdmD7DSX6j9UQCnM/VScBT/IqExyP7RqNm d0N0Xq6mQeq4N9YeTZTudfXtYXUXawo2OXNOb1/oCKNPqKakk0+tLJ7a/b4uxymM/O02ZTk5 DTv0q9X2lIv/3dx9xgOTF25xpOZFCGRj9b2YXZ+aVHleU4GxiCBox2ERibvCCXMtbpdIS4J6 3mTCnTEx7HMvNkUiZDkFCmA1cVikbMuUaw3vd2wbUvbmA5P0VesBC2UC7xBIdzwRWXkwEFlq NUuDsmwjLiNXLCiDXTwHhkJXGiMsWgdbxgNyu8yMQ+K+HA9vF43dMf6wcnf5FlZXpBtPCSJ9 tg7a74xkfnT/rrkUuZfpxgLWZU6gcAFVIWRB+KCCaOEz8BSuUdVa49fbLjubNTj1UowX5W3f MEMJDpNd7K/W9T5QybGea/l+6/F8+jj9dektfrwfzl82ve+fh4+LyRXwLdJrgfPMf0DGHDxn 8xA8b50nkReEQHkfB+TWIOE7cBPoLrIk9qunNebSYz+K2CrZGl/gqIyipQy6myTLdVoLEkKB jgVGIQFSltVYSaFNI+waRES64nZfTo9/F+Fx/jmd/67PfspowT3zCeGaofQZMwT+Z2pkPHSQ cXiDCjiX0anAtYNOBFT0OhFwXFQjcj3XH4NowA2yKTih1Mk4hQzYuebLKKK4S7LQfBtWyya9 NytxayQb92ZlgnDre611V4u6Ypwl16wW90JmXdFtcmvdFh/x0+f58dDePKU6ttjetJQ0S2b1 iRsteebKCtY3NenrPm+m5O6s/KB2DUrPU+ilxy4N89FwVo/mYqxhbSWyMJolZg1MKLpwrXRw raZnh9fT5fB+Pj0apWifHk6T2srY54aPi0zfXz++G/NLhUBQslBzjtqXNUZHQWvuGyEwioOI qNuv/MfH5fDaS8T4Px/ff+t90FXDX8fH2pV+EVnk9eX0XSST4/l69VTQEANcfCcyPDzBz9ro dbTLQAz6g+xrfIYga7Vodj7tnx5Pr63iqr5wd7PMjXk+M/ah8fviaeA2/Xr1sn93Oou1Cwq5 W4euW8p5ULrK3DQ2VuFWQYWq/n/iLerSFibBu8/9i2hYu2fKr4y43nG6xY38eHt8Ob79izqi dI6/acakLos0fVy93f+pqXktKo1J5Rtkvpmj+tvcTUyPGWKxSrOHFtPxMha7zVR/VjO8COus SvwobR/rM/WaugNP+2oUZAKQrPg6NgY3IsJlEAaSXC+3vKIQ/N1cg+K/RhvP2ud6nqomnN7J VyS2njG/N4TIa1KU37YmDnt8PLwczqfXw6UxaZiQR62RDU6qCjWfmJm3jQZDB3oOVDhyGSjx MfYdq3CU/yxmFlDHCsgGZ2sBDYFGfRa7ltMvnseZJX9mgwI9NkCBTGOWeUDQKTBz70oMnLHl cOdFRXcDcfgzi73LLffMmS+37h9Lqw+8p8fuwIbGU2w8dPCYKxyNKeHIR6HAJkNg4SGwqQOE 2AIDTdm6YrTNIpvARjZ408xdBk1seL6cDCzg+1BgM9Z8MKy2X30ZFkvzbS+28t7l1Hs6fj9e 9i906SvYbXuhjvtTKzPXVoAWcLQoIHtknn0ETdHCF5C5hRIy6+oENAT+SAU06o92MvKXjAUe RWCNaZSYNYzHuFXj0WQH2zUGK5gg3BtjcL8goMnErMsX0BTosgkCQRII0m1c6pIY87R9kmQz FjPHs0vkehxxLTF95QfmLXq18aMkVYEogXHQIpwMgUZ1sUV+eMMVs7dbWHKUu/ZwDOyoCAPH XolNzWNeYOZhEEdpC11gEWah524FaJ7phKFbRzq7j0DfxG46sMEFNGFDcP1K2BTkuWLrMdJG c4/GgfyAdJiA5SER9SeWecAUDG5GFDzkfWB9V1BYtjUwd2aJ9yfcAs1QOUx4H+wPJcXI4iNw OS0pRAkgwn0Bj6fA10MBTwZA+1HCIxBGoyxb2u4hgjxyhw5Q5myCkdWHK6oU/LctXG07XVtM fRMKzqe3S89/e9J2HhI2Ml9siE3HB3r2tY/LE+z7izg+tLaxyaDJuKszbfVB8cXz4VU+3yru C/Rs8ogJcXlReiwD0pw/ArzedfkEcS92B11rUGFhRuHg+TxFAWxSDpDNt0nTeFHpTJotLa5K jk/qqkQMQak20qKXGgkKXQNPFVT7ri498rTsu5Y3LHUmbGVRqOHLKSRm074YeCSvOH1wYSGg ARABCYL7szMEDIagIZIGBIR2WseZ2ua5IzHg7ZUwcKMpoJE9zKDYIvYpC0m/tIeNAI+lfCej DmnIGU1HHecwZwzEXAkhYc4Zj2B/j/HYdkhRA2ACIrjCBBxBvTTJyfDZDPIhCmMRj+wB6E2x QTsWFAicCZhlYg8ejoEqmrAp2LsFbxf170/spuF2g8JxgFRUwGN0wCzhETiRFHtHqwfVVVXX ci6s8wRrefp8fVXhwescqIVJMDgf/vfz8Pb4o8d/vF2eDx/H/5IFtefxr2kUVXFLpaJ4fng7 nPeX0/mrd/y4nI9/ftKdmc5Ipi1LMU3XDLIojC+e9x+HL5EgOzz1otPpvferqMJvvb+qKn7U qqgXGwxRCBmJNQerrNP/t0T13Y1O03jv9x/n08fj6f0gim5vjVJn04dclFBkXKZQxEulNgiy 7m3Gh6DHZvHcAt8FW8ZtIYMjhUK6HvQdHICqVIXMH7KkQxMS5vNBy2VaYwm0e7XYhg/7l8tz TQhRqedLL9tfDr349Ha8NAch8IdDxOwkBrgW2w76HQcSAs2hEowVqoH1NhQt+Hw9Ph0vP4xz KLYHQE72FjngQwuS4cHZZpFzG7DVRb4GCA/HSHVDUFO/p9rabFfBxQSPuNCbjtfD/uPzfHg9 CGH1U/STYe0g9WCJwvkvUaiQDK2OMGoljDb4YJvwiegM+H1FgHJYxluwmYerDS2yUeciq9Gg EsqFGPF45HGznNsxCMVDlOP354uZp/3h7TjaAJm3piM+GJZoQIGXzFjq8Sl6nilBFI9mtrBQ iB+C0LEjHtgWsLYkDMgrAhoARZKARmCJEDQCGtN5arNU9Bjr90EIOHk0oBdVkT3to/C8GhEw AJagBcSmPzizbCC3ZGnWh+/58gw+xdsIFjkEXt4FBxWsF7NXAs2HhVXCoOlvkuZiEpmrk4oG yteaiMVZFoq7K6Ah4H75cjBAAXry3XoTctDhucsHQ2DmITHwjkANdS5GE1nSSwxY0BM2BnkL bOiAWIlr7lgT2+xdYOOuIjiYBQh0lxs/jkZ9dEyXIDBg2UQjdOX0TUwDu3WRVnI+nbMVJlj7 72+HS3EXYOR5SxjHSkLgQLfsT5GisLzeitl81bERXWngHQ6bD5BFeBy7A8cGbvHKLUJmjmU1 NdcWsetMhh1BAxt0MDJZSZfFYs10RDLVyVq5KXM407AVA/r5cjm+vxz+bZwkqNVx08mYyq3+ TSmoPL4c3wzTotpDDbgkUE84e196H5f925M4zb0dmhWRHkOydZqb7or1gaKnYWaqsirmArWT yvvpIvb4o/Hi2UH+bjxuobcidD4fdhzrh2B3LTBw5hdnd7TFEWYB3kQY4lvyO2QhnacRFONB xxk7VXS6Lr5GcTq1WhwR5Fx8XZySz4cPkseMbGiW9kf92Gy5OYtTeCEeLQQbNXNuL+Vo+1qk aOTTyLI67p0LGLKsNBIsC+huuAOvawQE4kGWvAzH0coddABcpHZ/ZG7Gt5QJKdCsH2+N0lVm fiNX06bB44Npcw+s70jad+VUOP17fKXjE72ZeTrSwn40Tgwp2EEpLPRYRgEx/N0GrNYZ9ISb IkPhLPDG4yG66soCFHl8K+oJpCXxkXnlbyJnEPUNgbSr0ejsqNJk8eP0Qi4HfuJ23+bgvRdB FtJd3Cih2BcOr++kIAMLnPTOUyC2CbYZxjvpfzJxkzVykR1H22l/BMTKAkSXh3HaB7YxEjKv vVzsTWDiSQgIjKQ/sSaOeXWZeunqB6rm9kz8aD6bpiRptGZI2i0i8sPVyqKyrtUdUsXSXDHI zXbIhEsvIboiuRAcsrve4/PxvR1nRyBkrKs/etkFoTaxFSCrxUKXvmqa5Ilkp0y/yiPNYmsc ImXuEkaqEYzTz8n2Lc+SKDIYraWLhx7//PNDmiXWZ2zpyn1HBMZdyY13y2TFpF9NSCXS1WMn sSH9BElHPjRmYbydxHdUJiSLw63oxThMw+7s0i3b2ZNVLF163qaiZuL6i/mSdteKpekiWfm7 2ItHI8AoiTBx/SjJyWWdB5xdElXxXolcrZn5pjaqtU/Jj66LvEkBi87MEH2BvT2dT8cnjbuu vCwBoZ4UeU06YSbzG+VXof6z4gOFQvW+dznvH+WW2g43xcGSLrqr6ahQ6TLbWV6/DFLgYzcA ntV5CAzveRTGaJnKA4P4/8oHbthdCtwHTghlmBmvbhodHF8Eh5XDr+1DG0ZCgxAYxKkjZRk3 WuYKLCSfY3Ve5m9zewf8MApsYPa4KpDhrs7EZcKai/KTTObZKGMoK5bwcLtjrtl0TVFx311n yEGJJEIePP6YeVq59BsSi5Limcvchfb0LfND0XcCA13yB4a2GJoHHHZy4naAs7yjLqsw6vg0 sFtfVn1IT0QCrg9RkVb6YUxS04f0TnBHuBAxa+9ZBIMg66iHJl5bUjuxC2QP2MG7oNj4zUGv sFWSh0HN8N1rJoRFgvT0dE0NWEVXFXS3TnKgzl7nScCHqDsLGHa2nPpggEXLIvbQgIvFu398 1sPbBFxOSSM/KKkLcu9LlsRfvY0nWYKBI4Q8mYoNCdVq7QUtSJVjzrs4RSf8a8Dyr6u8UW7V 5/lOn1kxF9+YJ+Kmoq59rZw+UfTylIJMDQdjEx4m5EpdSEH/+eX4cZpMnOkXq+bpp066zgPz MWWVG4ZUcV9zSwvh6uPw+XTq/WXqAXpFpTVKJpAPszxqJFLzKM5dKFaPJsgSKITOyMt800OQ pZ+t6iU0BGoh++tDIBNucN+CZsvy3LRziO06KANka2846Y/swrpQa+id69s3Xjw3Jj9NfqzV MsnIqyReY8zrwAKM+ZLzIHSBPxQQBQSFvLmjrrOO6nRtLm1+rpbrLFT93EgR/bIht/+e9Fac GQiib4kh9ZvmmeuazHM9VKEEGD2FND0ubH4uJ5AhW7Wpt7Om3NfikLzKQxdH2XYzFoNe43dr xhcA3HTsynG4EgsCce24Y2KkGLtbbYed6AijWVehKTnDBpaVD3wD+XzHTMzaO5pijH5+n2TL xlJVYGMm0u+N3fitRdopUiDvkfDQUA0ZZXPVLMsLOcURE1tYWvM5V8/N5L1unsnHE0LKSGrh J0laaf4UddELrELNqv5er7JUezBQpHTEPHD9dIHGwQ0RkHgMczw0dFG9uyKudkFtm6zBap/d iX1W68Y6NgZ6XJ1obHIspJFMnD4sYwKM0xtEZjV0g+gnaou8zTaIwKsBnehnKg7ufRtEwEmJ TvQzXQDe9zSIwHV9nWgK7Nl0ImDO0cjpJ/oJvezRKw6udolIyL00y3dA4qtnY6HYlE0qPAkY d8MQzHpVE6s55RWAu0NR4DmjKG53BJ4tigIPsKLA60lR4FGruuF2Y4ASXCPBzVkm4WRnvpKt YLPrWoJj5tIGDNz1KwrXj4SccoNklftrEHajIsoSIezcKuwhC6PoRnFz5t8kyXwQDVVRhC7F uDIr/iua1To0K7G07rvVqHydLRvuamoUdFTTPENFIMzIKnQb4ZnVuTfZ3Ws6dk1lVrzvODx+ nunyqeUOicIv1oun37vMv1tTtCvDyVzJZkWEdjHw9EUWrubgWFBmaRbHChWJEOQhiQB23mKX iPKkqIxMQApZe+fFPpdXBXkWAv1jp7JNgUY5Q7r2ESdwz1+JKpPmxU3Shx2LhAzFGgfaFplZ iSIEOdLi8GSdgZf6PBftdmU2FJ174UepUdOpTv7Xrqi7IIt4/J9fyPr96fTP2+8/9q/7319O +6f349vvH/u/DiKf49Pv5Pn3O82SX4pJszyc3w4vvef9+ekgb36vk6cwYDm8ns4/ese3Ixlp Hv+7L03x1bQUp3yqvrvcrZKVpnOcuxQdaT0PV4IgW7t55LMl9lpuJp89ZL7ZGrGDnkYL6K1D crtdjCbww90ipgDckFaZ7Jh7ScG4k6uHVc21WykjaPEklTOp84/3y6n3SPHLT+fe8+HlvR6l qyAWzZuztOYoQ0u22+k+84yJbVK+dMN0UddGNoD2JwtxijUmtkmzuv71mmYkrOT/VsVhTRiq /DJNDdSkd2gni62AzQ15lOmaor6EmlPe+GF1/JMu5lrZzwPLnsTrqAWs1pE50VQT+ce8HapW S50F8KpWkBgd8aWff74cH7/8ffjRe5Rz9Pt5//78ozU1M84M9fLMbt5K1Hdv4ZnHzdpv1e51 tvFtx7GmrYqzz8szmT497i+Hp57/JmsvVmDvn+Plucc+Pk6PRwl5+8u+1Ry3HvtMDZUbm7p+ IbZZZvfTJHqARsPV2puH5NcVTxru34UbQym+KEPwrU2rmTP5Kur19KTr5VXlZp0j7gYzXBU3 z0zNzU2ba1XLmeGTKDNHTCrhJDBf95ZweqMNW+C3UbEA/+E+AxfNalQ8IQPma+AMrmwZ54bO X+w/nqu+b/ST5kRUcceGH1HVhBtN3DS8cSr7wMPHpV1u5g5sUyES6OzI7QLFVCopZhFb+nbn aBUknSMiKpJbfS8M8Dyal3tLay78xBqLPeCyUMHdX4dioUmzjc4RyWLPAk8gahRAY3OlsJvm SS2KAXjootjFglkdzETwJWdk6EcBOOAhxpUCvEEp8bgbzoVsNUuAbrHcbuaZBbzOlBT3aaOW BYeTIS3bK47pXoSvqSg0uKJYrWfAOF1RZG7nnJpFyT10aapmPSO3pGH3bsZ43jk7iaBzxiBT nRIO5N9Odrlg31inIMFZxP+vsmNZbhtH3ucrUjntVs144ozH8Rx84AOSGJEEDZKW5AvLcTSO KiPZJdtT/vztbvABgA3ae0hVjG6BeDT6DXQwTZWdSJzsxikgOIarwlfepqfByV2pxORiVyvp 7ln3rOsj5t5a1lC/vLPUjii2Eu5GMqR34XlXvP/R5PABvOBy9lpwG/fSmae3h+8P+w/5y/7b 9tjdkHYuVvfEXiZNVKicSzHpZqnCefe+MAPxCDENe0OCEFLEhmwNjNF3vyZYS0hg8mCxGUFR DW/QLtp7ANpU8UJ722fPaviEozxJyi4eWlf+yeE4sGaRa/b9s/t2vAUz8/jw8rw7MNpEmoQt f2PagTtxWheA3iGNEU2f1zexWF17jNcJaTAJkhtx+Rfb2Xsk+TA0XrseY3sF3mLF/DAoN1km 0NdEjiqsP2vkwA7Aog7TFqesQxtt/eenv5pIoCMIw8GiTWazsiOWUXmB5XuvEY69eBPeEPUL HL2yREc+39UXXcreqdY+eJySOTquCqGzmzBLacYEqjX14QXdv8lCeqJCeU+7+4NOir77sb37 uTvc/2K8vI5h1aZSddn6/JSVVjWGl5cfjQSXFi7WlQrMFfN58mQeB2rjfo/H1l0DtWNRuLLi kbtsoXdMur1rMTqUw0YElDTGbGGYgOqDT7cbRNKlMINWlEfFppkpmTm5XyZKKnIPNBeYHJSk tqIjVZxwkkL7XM3C3H0udZT0mZUdvatoQQmRUVaso4UOLSsxM1lOBGYxcGKr6dQ5blEzodxH TVLVjd3BH44/Axr6F/n5ThABDqQINxfMTzXEJ1oJJVArH+FpjNATOACoJ+IZOSri0GwFqbHc Ohlovk4414A2zKyszyCPZTa9UJgvg7LGVliodaTGgP6is3GEWeoOW2PBtZ+x7aiSMN1QM4e/ vsFm9+9mfXE+aqN88WKMmwTnZ6PGQGVcW7Wos3AEKIHLjvsNo6/meretnpUe5tbMbxLjTBmA EACfWUh6kwUsYH3jwZee9rPxQTejG71gK2WUAGu4FrAqKjD0KSAzZAtm5rtuwpSVxmIX2B6b A89Bn6d6K4BGYQ9TliJvaX/RrBTeE4Nhh6NSLTCbNFAIXJC2x/RQiqoudF2XomTgoPSrWK7y MQo25DLv+sZ3ZAsbqoSTa46NqNT5UrLLeapX2OjnymS3qbT8Yfj31JHNUzsbrd9FqmFpUnqU 3jRVYHWeqCvUqlKm36xIrOQ5+GMWG6srkxjrBoPkNJ/rnklYpVGNTGwtHaSLV4sRt22eamUE PX/13MEk6JdXT2CdoAVscYrfZGZKCAFIxLwdlNmO+XPN2ev5aKwwGs9rRQg9/fTquS/crlA+ PVdAOP386nkujDDAtjk9f2ULaJd4V0YaNFWCbHLIFMOl+ZwlLOMCqKPM2DHCTtej1sfj7vD8 U9903G+fzMjhoADBJ6slVZzgI8waHgXuZa9eaclLSdn38xTUpbSP+nzxYlzViaguz3qibrXk UQ9nwyhCzMdrhxILXyGeeJMHWCPWe8w3WSjRAhBKAaYVC6XfNPAPVL5QlnwivHdBe4fD7p/t b8+7fauCPhHqnW4/csuvP4uWJDNekVO8KasxB2AhoqVxDhSMv1kFKr88/fS5X0ukoAIkA95x spOcFdiz1BsA2cVbAAI+Zp/kwPRZ7iMLoBKwBAElhRNoX7XQEwF1H1VVTLfOgiriki1cFJpE I/N0M+5uJlUEs8SwccEVgB5Ks7xv4Wnlya2yu+vOTLz99nJ/jyHf5PD0fHzZu6WvsmCeUB69 umJ1BhpoaUpUEsgws+U8tjg7/s2ufR2WbvJKO7V3DdYeCybpm3dadSsmwHfOijYW3ndmG0Rw FMG2wzdTPWF33SEikszk2QZ2A+Lbk0pA4EImpcx9tqD+igy/ishX0EuTXBpwsS/ahXZBQBHC 1IMxfXWQqe4pc6JGDsWbrHAw4xZL5LE+pxP9XXNFrAa9SuMkqqrJ3HN/rAET3etSHZQZwTHr iL6yDIDcOqVkIBTdTFO5PP3FzZwYqGW0RIvEPho6rIX4H+TD49OvH/BdxZdHfSgXt4d7xwTP 4XwBR5D85S8LjvcNa3H5yQai9JJ1Bc3DvshZhZYvKplTb6VrYLOoQfBWQclv3eoKuBTwqtgT CCFHjv4ae4qn10KnhgHf+v6CzIo9lprM/GneBEdtnb9TxPXubiMu4lII9xkH7ULB2PTAfP7z 9Lg7YLwa5rN/ed6+buE/2+e7k5OT/w6OJrrQR33PSa0ZZ8wXSl73F/fYeVEfOK8JmkeTpq7E 2hMyaYmUqc3lnp03O1mtNBIwHbkqAvf6rz2qVSk8de00Ak3Nz0E1Ulf1PoWNeaMvXGPygk9W QaSvwmGoaiVGdvBA8P1EJ3XR/4MqTC0XGEyFlyL4T6M6AMvS1DmGloDqtZNkYvZLLSU8LOin Fp3fb59vP6DMvEMXIaOEocNxSt69AS+nxBjdB02cOpCDdouCDizdoArQCYjvPI1kr8VJPFNy vxopWL+8SoJ0fANURTXPaQCAytbMTxyI8SYFEZJ3kxEqrpiysMMTKdb4RgfxqtUNFaMV2ho9 ETwoNFiHiR8qutDyaFNJ64SZesSszrXSSjNSjq7XQ+cqKBY8TmeazAg6CWxWSbVAM97VKVtw Rlf3AQH9xQ4K3vbEs0OYoF9ZJr6uidn+UPcyAPEXHi498+9jGWRFKjipbag09OZCUhKvW4nY tXijqsUZ0ejtcc/TaMsbk5hu/Zebm1DyWxuorCmquM4K/RvPnaaWqPhnFup8leRgGrU2F60q awr3iJbfEoegIa5KXjtBoZYNcaZXBwLFLkrrWFx+3N/e/fj9Oy7Ob/Df48NJ+XEYR+9L7NEJ 8/eXw10bFD/5YUR0sHJCmcwXPJe3d8F0N1Tbp2dk/KjKRA//bo+399bLdcs69yXut/wQLXHY wST/qq1C3rWir11zOC6xLSN5bTjXtLoLWi006zPR2NfnEJ8LuMDRwHunyN3wULg1etNl7HkX RGuCGLoqnQurNooXGnbCkUTvBH8NMTNnAo5u3FKmEsuberGIlEGlbqY7A3kAXNYP7/yaHnXB nPhCrPE4TqyMdoLpDHvPG20tXhl5Evp1YBUwKs/TKYRA/iQ+dZ3g2kE3CQcaTvnsF8Koa/f5 GhO6Jq+9H47vN8yAZfoxFMaTKnTrTCy4L5ODoEnMpwtoOl5OEPl15tdd9eQxlcJ750KvYDG1 /BgFXqDnEMQDzxiAqeIuNCHI70UWKF67p95micpAtZxYKP1SwsR8/I7HliDpioj3Do0mykxO UAQIwSgAwpz8CGr6HrbadeJFAJhXm59k6qN7EtrR/D+A5dYCI8UBAA== --tThc/1wpZn/ma/RB Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ dri-devel mailing list dri-devel@lists.freedesktop.org https://lists.freedesktop.org/mailman/listinfo/dri-devel --tThc/1wpZn/ma/RB-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============7255006969664706386==" MIME-Version: 1.0 From: kbuild test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH 02/22] drm/atmel-hlcdc: Use simple encoder Date: Fri, 06 Mar 2020 08:32:54 +0800 Message-ID: <202003060857.sLuBNk9D%lkp@intel.com> In-Reply-To: <20200305155950.2705-3-tzimmermann@suse.de> List-Id: --===============7255006969664706386== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Thomas, I love your patch! Yet something to improve: [auto build test ERROR on next-20200305] [also build test ERROR on v5.6-rc4] [cannot apply to rockchip/for-next shawnguo/for-next sunxi/sunxi/for-next t= egra/for-next linus/master v5.6-rc4 v5.6-rc3 v5.6-rc2] [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/Thomas-Zimmermann/drm-Conv= ert-drivers-to-drm_simple_encoder_init/20200306-045931 base: 47466dcf84ee66a973ea7d2fca7e582fe9328932 config: arm-at91_dt_defconfig (attached as .config) compiler: arm-linux-gnueabi-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=3Darm = If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c: In function 'atmel_hl= cdc_attach_endpoint': >> drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c:98:8: error: implicit = declaration of function 'drm_simple_encoder_init'; did you mean 'drm_encode= r_init'? [-Werror=3Dimplicit-function-declaration] ret =3D drm_simple_encoder_init(dev, &output->encoder, ^~~~~~~~~~~~~~~~~~~~~~~ drm_encoder_init cc1: some warnings being treated as errors vim +98 drivers/gpu//drm/atmel-hlcdc/atmel_hlcdc_output.c 65 = 66 static int atmel_hlcdc_attach_endpoint(struct drm_device *dev, int e= ndpoint) 67 { 68 struct atmel_hlcdc_rgb_output *output; 69 struct device_node *ep; 70 struct drm_panel *panel; 71 struct drm_bridge *bridge; 72 int ret; 73 = 74 ep =3D of_graph_get_endpoint_by_regs(dev->dev->of_node, 0, endpoint= ); 75 if (!ep) 76 return -ENODEV; 77 = 78 ret =3D drm_of_find_panel_or_bridge(dev->dev->of_node, 0, endpoint, 79 &panel, &bridge); 80 if (ret) { 81 of_node_put(ep); 82 return ret; 83 } 84 = 85 output =3D devm_kzalloc(dev->dev, sizeof(*output), GFP_KERNEL); 86 if (!output) { 87 of_node_put(ep); 88 return -ENOMEM; 89 } 90 = 91 output->bus_fmt =3D atmel_hlcdc_of_bus_fmt(ep); 92 of_node_put(ep); 93 if (output->bus_fmt < 0) { 94 dev_err(dev->dev, "endpoint %d: invalid bus width\n", endpoint); 95 return -EINVAL; 96 } 97 = > 98 ret =3D drm_simple_encoder_init(dev, &output->encoder, 99 DRM_MODE_ENCODER_NONE); 100 if (ret) 101 return ret; 102 = 103 output->encoder.possible_crtcs =3D 0x1; 104 = 105 if (panel) { 106 bridge =3D drm_panel_bridge_add_typed(panel, 107 DRM_MODE_CONNECTOR_Unknown); 108 if (IS_ERR(bridge)) 109 return PTR_ERR(bridge); 110 } 111 = 112 if (bridge) { 113 ret =3D drm_bridge_attach(&output->encoder, bridge, NULL, 0); 114 if (!ret) 115 return 0; 116 = 117 if (panel) 118 drm_panel_bridge_remove(bridge); 119 } 120 = 121 drm_encoder_cleanup(&output->encoder); 122 = 123 return ret; 124 } 125 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============7255006969664706386== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICCGPYV4AAy5jb25maWcAlDzbkts2su/7FSrnZbd2Hc9oLrbPqXkASVBCRBIwAOoyLyx5hnZU mZFmNZok/vvTDd4AElRyXEkl6m7cGo2+0z/946cJeTsdnren3cP26enH5Hu5L4/bU/k4+bZ7Kv93 EvFJxvWERkz/DMTJbv/254ft8Xly8/Ptzxfvjw/Xk0V53JdPk/Cw/7b7/gaDd4f9P376B/zzEwCf X2Ce4/9MYMz7Jxz9/vv+rdx+3b3//vAw+ecsDP81+fjzzc8XQB/yLGazIgwLpgrA3P1oQPCjWFKp GM/uPl7cXFy0tAnJZi3qwppiTlRBVFrMuObdRBaCZQnL6AC1IjIrUrIJaJFnLGOakYTd08ghjJgi QUL/BjGTX4oVl4sOEuQsiTRLaaHNHIpLDVjDr5lh/9PktTy9vXQcCSRf0KzgWaFSYc0NCxY0WxZE zoqEpUzfXU2R6/U+eSoYLKCp0pPd62R/OOHEzeiEhyRpOPfuXTfORhQk19wz2ByiUCTROLQGzsmS FgsqM5oUs3tm7dTGJPcp8WPW92Mj+BjiukO4C7ensVa1z9HHr+/PYWEH59HXHh5FNCZ5oos5Vzoj Kb1798/9YV/+y2K1WhHhGak2asmEJf81AP8b6sQ+nuCKrYv0S05z6t3iiuhwXgzwjYxIrlSR0pTL TUG0JuHcnj1XNGGBd16Sg07wzGjuh0hY01DgjkmSNAIOz2Hy+vb19cfrqXzuBHxGMypZaF6LkDyw nqWNUnO+GscUCV3SxJYUGQFOAZcLSRXNIv/YcG6LKkIinhKW2TNlETykCowULnnMZUijQs8lJRHL Zta9CSIVrUe0rLMXj2iQz2LlsrjcP04O33rM8m09Bfli9fbk8HQhPOUFMCXTqrkAvXsuj6++O5jf FwJG8YiF9mYzjhgGC3jFwKC9mDmbzZHvBeo66T/hYDfNZoSkNBUapjcquhP3Gr7kSZ5pIjfepWsq G1eZI5F/0NvX3yYnWHeyhT28nran18n24eHwtj/t9t87dmgWLgoYUJAw5LBWda/tEksmdQ+NbPdu B2/KKPyO1ksXqAilP6TwJIFUe4k0UQuliVb+kyvmZfTfOLnhkAzziRrKBmx5UwDO5gD8LOgaRMan BVRFbA9Xzfh6S+5SFrcW1f/4WbmYwxvriVNrt9AuxaALWKzvLq87WWKZXoCximmf5qr/YlQ4h5ds 3k3zYtTDr+XjGzgxk2/l9vR2LF8NuD6FB2tZ4JnkufDfFFoEUA9w2V407CNcCA47xzekufQ/v2q/ aKTNUn6ajYoVKBp4FSHRNPISSZqQjc/QJwsYujS+hoxc30OSFCZWPAf1Z7kBMupZfwAEAJg6ENcN AIBt/Q2e935f29IXcA7vb1xQwEnjAh4deGOon1G1wX9SkoVeM9ijVvA/jvWtrK5t4nIWXd5aXp2I ux/Vs+h+92iN1gbTKu0DqRnVKbztoraYfrcA+d1a1BocV/q/A1Q+QaV2Lah5Bv3fRZYy2ze1jBdN YuCwtCYOCBizOHcWzzVd934WwpqSCm7TKzbLSBJHtnKAfdoAY7BsgJqDg9L9JMySDMaLXDo2l0RL Btus2WQxACYJiJTMtpQLJNmkaggpHB63UMMCfCyaLR3LBALguzrblZLGH4wjz9UahwnDj26TMFsW 9i4AnAnHkzDeg4F65oSZaBTZwYgRXHwJResUNMKAQNhisUzhANzxAER4eXE9sKV12CfK47fD8Xm7 fygn9PdyDzaFgGYM0aqAaa/MrrVGtbDXRv3NGZstL9NqssLYVEfUMfIhGsImS9xVQgLnvSW537FV CQ98jw/Gw+3IGW0ce3c2wMbgdiRMgcaGB8lT/+zzPI7BlxQEJjKsJqDc/Y9d07SIiCYY37KYASWG ao43xGOWDNyJmp9uMNlJmv2UZGqkTqHBcVxeWL5QuRAQnMJTEMBr0FrNBhxxAocFHSFrKEQRCzAO IW1m6HBoWMESDREVPXhKcUJmaoiPQaNRIpMN/C4cddCY7vmKgsephwh4kiyQYPng4sDI2aeHR9ce MjeBh3KZI0z0JObADfT4hpM7GlPMqpDeBCLqblo7EMbDmegfL2XnUaVp3ttImhJRyAxsJURNRQqX 8ekcnqzvLm9dAjQrAi4JDZ0tJgZLA0UuLy/8sZwhEJ+v1utxfAwWN5Asmvk9EUPDuLianpmDrcX1 uTUivjwzu1j7Q3iDlCIcR5qjnzm7ugqnZzcGkZ+4HOjA9O3ptHt5KicvT9sTKi1APZUPTgZM5KC6 juXk2/Z59/TDIXCXqGK5pS+T4OB1X24q+I0ffF1hvEvdjp+3pvjoVSznjt3NkxLMAaj08/T2DOeJ EpSOWkSiP19aigU0DUIkzHlxMYQrkn52oQhZ3140rnz4dHj47fXwdgTT8njc/Q5eu/8+dEqTKgqo vFvwaHxRzpBOh0FPP+LGilzbXpYFVwEMXziWKwUFB7De2bsxKu1bdAM2Cgnde3dCa1zFi0I47ljF pFZOnIOJoRYJE6E+Xl6ee8JkybKQnRGt9ZmHCi4pncm+SXRpEhGCkjmzhTT1B0IVcvnx03p9RiLT JThV57bvD9gMMgM9EbHFGQIl2EgoV+kZCRb25pwiWmfkzAYkJcmS0ZU/OQC2oYD3Rs4wV+XZ+szl 5Vfn1CgmjcFHGEkVGZJV+unm4magScXx8FC+vh6OPTNpMizmvVtqrwXe9oB6nqfwoIhAK+yirqa/ X+sB6KY3aSA1OJV9whp8o39x4cIgEjoj4cbFhKD7wJe+XmkvnC37cC42SB70zpMEBsp61OLyZghx XQqEoj9f5Szb9F/H57hLZlj+juGg/epxHlZtuy56+MNtIIv+X2QryTTVc8nz2XyUtiIFGnB7wDtj mUcJZ2A/igWGV8WcJsIJBEbAeNLksp69SgXdWCkdy18zTAveMEX58nI4nuzUjw22Q6IhZ5epEgnT xZWbQmyhmHzw8qAhmfqTHA36cubhi4kweBwrqu8u/gwvqj+Oec1kMRMQTbfQ+T062hAyXk4/dTD7 F6HEiGO7Bw6/64DrbDVAxFmxBE88sgdjjhiceV9GBm5frZqUuyDZneverAhEfpXNS4p5PqPwVtwL TnmUY6CV2HGuSdWj81zc84xyGVF5d3nZDkvYLEsxpoRwxEpg5SQ0SdkV03MMPkKxcYI/GiID/DqX SIKRw1nk+eywGx7HXZoRRfMAZIcXdGAsecOHz2PbnENM5eYNmmSg2UMKMZvMQ98F3ptEm+SgGuga BeliiAmUshHIfCIEzSKYPtK9a8G9ILSWmbPIIkwjLNJCZI3LwHoJx+yv65aMD4Mdwy580lUR3L17 AL4dnsq70+mHuvjP5eXNFO3bfnc6PsKRphg1wJ//TG8ub28+Ta8nR+D33YfH8vcPx+3zxeT4x7ve lOe2Or6tAYmRU8/GF3RNw97FmhDcWUcSBY5Ynvpqi5grLu4xgxVFzu5o7C8dOCLWxjTi8Ad4z+l2 v/1ePpf7kx3vxMfyv2/l/gGinYftU1VVcdR6LN2ElV2m8IxuJ2aPT2V/rmFlypqrGmBDBvs288VP hy0WQSYvh93+NCmf356cPgZymjyV21fgw77ssJPnNwB9Lesgony097aMhXdbo0tV9tls77nd3vBt q1wJp5RZA0z26b6XU65RasGESSf6zAQ8/oRSp2YOMBQTA/crrhQU8IKawMc7Z282k6f0O4V2asm/ vSqe6QraXwrBV2DWaRyzkKG2rhNyI2ZEpD3b0bBFcKWY4ymiMjGWp8/kKj/LAiozs1N7bHu1o5dX ydju+PzH9lhOIhN5OqnRmMl0RSRF45ISP8/jVRHGdRHASzDjfAYGr5lr4GPr8vtxO/nWbKMKgG2H ZoSgldz+AVwlHMqN0P42CbRxOXbGDG7Z6XrZHh9+3Z3gJYF9e/9YvsC63idQ6Tc3M24UYw9mnA9e JUmdXP2iSvV59/oLqM0iIQH1VWCqGAisK/a/gKUG07cigz6XfiKxgkqqvQjw/bzwbJgywNVNonTO eT/Gj1KC9TDNZjnPrbnayiYcC3Vl3aYwJDBILNaAP6Nz0Zd9otAoaRZvmorfkGAB+qJfKGyRMGvd aOI9ltlV7YcUqzkEB5hK781zNQ3A3QWnttC9SSQFQ0hQ12H2uagdNiL6PKwrKDZomC8xlQqc0Qc3 IUW1CppY32E6GfJ5rdjIU/WFNN1XnilqnxJec6LtgpWhMKuD0Ggaam4h6xY2F930UDQ2YWRsbxBc BLerahWnQL7AeTEyuGAD9EhPRI/K0w3RowDPvWaCoCEWPqwannHqlXmDWJ+UAxYjAwzG1GCcOm7H XSeX3iOgaxCx/iPxjPo0vNmm40tzEfFVVg1IyIbnfXE1AX8t89ouUoYJ3FYRAH9Bh0cWgmO/HZvV lulqgCChW5ypXeHqxSC/3dxAxi37CUFi76hYDecZhFZ1h5tcrX1PWoPi0C5N53z0kefKnjVxHbP5 Z+qQ52YytRpwcSPTXmA3NS7seqEaWqGQL99/3b6Wj5PfqlDr5Xj4tuv7r0hWH+rcNgxZbXrqUnJX mDuzUuv3JPkM7Av2Dobh3bvv//6322aJHbEVja3rHaC15QZchJvQSEaCUu5vnrKowStDhsG/EuT1 r6jxxQ3jyEE58i+sfHMWUCUpNhPYdtEU3xVWqLuURa0R7PPWglLF+hiGeS6qpskzxI8OrtDegwNd rb79fkQ9j5Jh20o70hnQUI50stRovDUJNu0cDdaTV0XKwDXNrA6jgqWmxOnvS8hAl4IG2aQBT/wk 8PzShm6BXRDePqGqZar9uShUqBgo6C85VU6tvGkpCtRIG1yHH2s+7bqSsFwwJskNFaZ6/JeIFE3I bUyyPzOOZKvAF19US2ATRqz6Z0R2cUGSgaYR2+NpZwJIzDG6PRIEXCwTYJBoic1KXtlVEVcdacd1 COEdcBeZ9Fa0t2/Co6o5l3ftbJa7nX4pGK8azSKwV27XvIVcbAI3/GwQQeyP9t31WhWqMqvuVXXp gycACgZfI2hxt/+2whtDWuHP4bxjTSZ6bLCNdEe73QNEg7MRFhB6WcnGNiI37KV/lg9vp+3Xp9J8 XDExXS4ni9EBy+JUo/fiiFILLeJIMF8MD7g68ulSI/Db+KetU4ITjDdP1quoUDLR97rRntX4OCHa szkEj0+KWPxGYSnwawVhvmNAb9MzEegu3wHxNLWz3UrPGDurynz5fDj+sPI8wygSd+U0kphtZjwy UXiRkn4IhNGN6c9yBaVKwQttJARcK3X32fxxHLFw0LqD2XlJUXh6Cd/mYTGsg/ZGLZQvV97csHE3 U4a6I5J31xef2/4QUyOB6MW4fgsnOxMmFPQMVkJGEpL+not7wbnfnN0HuV/Z3quqt8xzgiYGNR0+ oDckrdjfqZKo6ZlqYg/PLLEEiwdBVR3Y2I1nJqkz2jU9y0UR0Cycp0QuvKpqXJ46FlvPRi2CKstr /INGAWTl6Y/D8TdM/g2kEURkQbUrIQgpIkZ8Z80zZnnk+AvernOxBtYf3dn0EVu/jmVqQlwvFg4J z8DXJ8yc8zNRdZCExDX9AG/sGlb1NPV1vgGRyIQzGfwuonk4BGKifQiVRDrSg9tmgvnzahVyhuqS prkvtqgoCp1nGU16x0nNMfytfhvwtzlfsJFMUzXtUvvL7YiNub8RocZ1m/IvgHdSEH911eDAPRxH MtEvatlYDzMyj7R28hYKTB/Mzvk1LU2YB3bQ34bVNf7u3cPb193DO3f2NLrpudDtLS1v3Vtb3tbS h1+KxH4WIFHVE65AjotoJAzAU9+eY/LtWS7fetjs7iFlwt+nZbA96bFRijkPsoIUt04TP0KzCGyu sXt6I+iAUdVFn9lf1XVYf804IoiGcPylVLujs9siWf3VeoYMFLXPjKRC2zrC/BxcfwXFGQZfRtoP DD/axCxc3yRYT1BogR+gQrQVb3rqxowW843JvIDhScXYRz9AXOX4/JGHOIOE5x+F4ZjsgD3QfpyM RuI8NtZDqf3NzMl0ZIVhn2iNqDLbqCgU6WtoAPmrBwnJik8X08svXnREQxjt318STkcORBJ/l9Z6 euOfigh/KCrmfGz5W4jGBRn5JoxSime6uR6TiurbHv+RQ/9eokzh10Icv9713wvcJDGxpRfNBfjn asV06NdnS4XfE444UbBliJgW4yYgFSN2Cg+bKf+SczXuiVQ7hQh/lCK5Aj9eoaI/R5WFyqdFESXX RZCrTeF+xBJ8cSwffvrxCxt+blj7e5NT+XrqZRGN+ljowReDtbs5GNlD2C6kxSuSShIxfw0uHBHE wC+7JIazj/ZUx8Ui9EUiKyYpGAErZddA0B22oFhFcIt1BlR3MtggJezeuniGj+bSUR2JARllnoIV 85++HohyQBOOoRB+uw9KeeTzu4Y+pFjzqr+9gMg19wXPLTVmu+DA5isndHHpLAqGuzfViyYvjiTo UysPXeP4CCe3ZKEH3w4Pti8jYn1MMZwDeeyZIGFBxehnSwXWsGE1v3ngJGxupwcxKQQZehAyxIhV aaeQY2Pb4PbvUN29e97tX0/H8qn49WT5hy0pGGO/nmkpEjpiHVsK7yfbnoVUE66OmX53RhiS5We4 ivEr8nFu2tfMF4oX3VwrBlC/tY8XbCTzjFros9+Ch4T5HeOQinkxlpfNYr/CEIpgzWE8DIr9OJ87 2Ng6pasGTqv8ITlsr/rmr50iJizhS2+gSfVcc540lqtfB6zVehO9R+Xvuwe7e8MmFqHTFClGGuBF GBIZDQyFKY3sHuq5J7xNDnTBfFW6qjpZvSmgpU6FXcZrIEWK5S63nEayiGCd0b9HWa3V9qSYv+tj sOe2G+TpsH00fSQNw1dF2/rWMHoNz6Cd0PnLRlrqwmrV9e6ro/SVQjqiRiiGfSv1TtuknqmWYIHA SS+2/MM3GUk25kvVBHQpR6KeigDNUj0NKPt07AMnQ0bMJ581sWkKOZMrM4X2XPPe35eBX3QEdgMI WBgnl1n9Ltg0HMCU3S5Rw9LU/twWu0zUHC4xws/oYzffj8iYZmGl9fxdeSOi3vZZP5pX5sh+IMNU 6aCYMRUURPo1T8rXesQNVwx1D3aSBbn/ppZ0bQTK+0G51e3dbM7ShhzUUzj2ucos8wppqt2Ko47M 9Q9L0l3Z5mV7fO31jOEwIj+ags/IKnZty+5zQBSPW6g7ZayGUzoUcPmm9ddDNSg3Nfs2G89fsfXy gPWe6ptefdzuX+teymT7w606wUpBsoD31dt4k37vFIMesW5jCDaKkXE0Op1SceS3biodHWQ4zUf+ CghEtuU6eFFVqDKQAknSD5KnH+Kn7euvk4dfdy91a95AHMJ+C6+F+4VCoDymU5AAH3tAIIBbsUjP i0uX6z3s9Cz22sXCtgp26YFN+8IHRx0Xu5Evqo3QBgpMllcWz3CvqhRtX14wnKqBWEaqqLYP+KXM gMVV8wSeWIxGD+ZiE6IHx2mqCX+xZvXZcPn07f3DYX/a7vbl4wTmrPWPdfvWeviheJyAe9jnaYuo a5nmY3J/wdwl5yPJHXPh4VxMrxbTG39uEkmU0tOb8VehknOXLebnsPDvObTREFNkWP8pRbvX397z /fsQmT1w6Fw+/B9l19PcOI7r7+9T5LS1W7XzxpItWz68gyzJNif6F4m2lVxcme7sTtemJ13dmdrZ b78AKcmkBFB5h56JiR8piqRAAATAMj4sydmbnxhzXgp0Shyfziq2UKRIY75GVS2NYwyCAb0+H6Uf YiDAiki7qPq0LqqGq5WdbffR3Of53z8DF39+fX15vVMd/of+kmAAvr+9vhJDp5pM4O0ycU0o7XIA qThTske46Y+HZ4rKW0Gz5AGB8U1uRB8x70bFIHmOcsdo9vHlxyfy/fE/IHm4W01Ec18WmICM/04q cR0PhHpgViVJffcX/X//rorzu6/6lJLZHXQF7jm6mWtxplnW/NP+Z9xp07vUKFTWj5WyrYPcZMkf iOgG+vpwihL4TW+4gMvlPYUxnncy4ya7guslU26XzbHMEuuIvAfs0l2XS9Ff2COE1D1s0TmZs69H HLJTakfIDS0jW2LH//gIis+ONC8l0hDVS8s5BKS4UyEkk+IRqOjUIOs0NRvojtlJ0n25+8UqQF8C y6IHZZYfDPy2zn7hd56YOkO5V+n36jOKOGk+6j7q5nTqKe1zizk9eh0bpaWxJasrIup37l+U61lx yjL8wdcCXbM0lCazVLlYKCfS/wunTeswCMTR5tYOltQ73iVNdXFHbQ09Fba/aecwkE/3a0WRlMko 9LZmitAEo9WqexknZ7o7mH4GpwiNJc7+jt5HG8DPeXrXGJGzvWQO5VfGVKRoMqoPY22ut4CbbQ4s mNIboyTwg/aaVCWfu0HGmbDinZNTnj/iAqc1h7jZLv1mtfDYFpvGisUDXpaVzQltwvAFCC7dW1Ql zTZc+BF3lN9k/naxWDqIPh2YD4JxA2z2KgEUBG7M7uhtNm6I6uh2QZsaj3m8Xgb0kVvSeOuQJiEf gpEBKaRaEip43wNrzeOvaxcMOTTUYjKk9tok+5SxQ56rqGBEhtgf8xHttZdWqHn8mK5iTYFp9+kz vBudPlLs6Dp/gAuRR+063ATEmHSA7TJu16apfihv2xUtoXcIUNeu4fZYpQ09ox0sTb3FYkV+j6Px 6SLN/nz+cSfQEv/HV5XB68dvz99BVn5HhR9xd68gO999hi/3yzf80xxXKa7jY/khQO3/3e50BWei WV5ZycIECZ85/sIT+QjtqNXUuVf8/g6Ccg6L7C93319eVS5tYvGcYR+ZmKN6v1hHE8bUxEdGskV/ jlo2LaaXofVPk2NqZROPQDst5tbbflDQkTsvLdWhjgSK75J0JsUKxqeK1RMz26MqUYnD9oNznOpB 9+i79/98e7n7K0zjv/5+9/787eXvd3HyEyyzvxnOst2+01jdio+1LqVNgUMlWg4eajM5JXsyczyu Xgv+RgM7Yz9TkKw8HLgzIQVoYjykHwfs3oZJ9svd2u90VRCNJ9NiQ/bxHEKo/86AGsyjPg+B/bVh MtZoTF1RzfS69uh1JyN5UbnW+OaTI9/uaL1bQg/9ZdEykpZWlJJPfAwgHMOiwZ3f0EaE8X0UqZwY CHZlkXBLRIkoJAUP2w+n0QnTjWE8qBhch2unTDmrShSjFw4tfVQs6dxyFDzEYE5CdlGdnhJaej5w JqkobpgtH94LP8mSOX2UJ7qDUH49q5lRGdKZ2mdOKi6ynAh0Tr7AzvXl1z+QoTf//vL+6be7yIiG shT3bqF+tIpxpomOBdJeXue0SEDzjrIoRhugneS9285kw6zeoXYePZnRJiYJllYhRUQTzYN/s/xU l7XlBaZLQPUJQybNlFF9V5dREpeUG4qB6swJltfAzv6lDBLHi/LSIzsaR2dxymmSqOuT7Z3RhNs/ FzOdUl7/1qsfUtAqxTB9lBUgBwVgYZ+3YUkXqtafch21sxLNOeiWjZ6lT102/BvXUCXXosKck0UE /dQhgcxhm9HWPqqjhNTsDZBOWkCO7VE0IM/HdgTEUbTBMfGvh5EHqAHALS7lydVixSqzRyaYD8rR PZH2iEDieDyItzlFl9SyCxlEjGPjXTQ6UB7VsNVRvhAmCBBRUVrxs3nWNpfJ9mSS93TCOLNdEdek H8YIU07WTxH74S9MCkggtv4KqDMfjGq5SXNu/IpIItXdCPxZl0WZ06utsNsW1/aQfmjFw1oiY1qM tivQKjAcnXww7sqY9tF8/EMcbfDT5tSUhxiVMm6N1/nsaqzhdUAsIztUo5NnTZKaKG9O9klE0x52 KftBmXVTMku1iSizqN7Dv5SZ5iYno8OsJmI8S20l14JUS2mmkceirJpHO2PWJb622ZjrTOuehcXW 4ee1PgrG1Qap6I4YjyJYp81exFNhhwfpkusl4BLbDoDl3NelzSaEISVqxWSVDaKwKK9arjV2Uyzc 2fuhLosxgFhwC1ZjhNxFnKdc1/A1P7WOIx0ThX4rIA1/ANgFMLSMYKzAM7uKwsDiRGdGQUkksC3b LmaqwBBEmguUmOOW4Y0ytTgc0BXoaC0PbfUU4g7LJ2fCty9znIGql7ISzKh3pFWIKE94Wifl8YA2 DDfb9Y4FwDrYtG3roocbF72T+ZwNrMLQYwGxAImQf4NOMhvTeyYAgmD3dIs3VOEy9H22UaTLOPT4 XqkWVqGbvt7M0LdMt1VKx3GnRVxlp4ZtUUkk1/YSPbKQrEF51Vt4Xsxj0KmboXXyzCzdWxyYF9NC yfjNBjGEb3lASH5OBpmDRehUYBH/BpEMF0t+NT84W8dUvjK9d9DVFs7TYRt3jgLupjxRpt6ipRkI qouwfYiYf/gZtMymSVl6t8EcgIv5Nf6XnQKY33tQqbYBE4hcVcytN5mgjmkx47YKNlJOltZOpZJx R5Lm8Ei8BwmekXOQXKWHqGE8DJFeyyz0mBOYG50+IkE6yPWYupqlwz9ORkWyqI6j3veCQhYVtmTR hWxcEsq4i/BBhU9yWKJGxIZJk7aVQR5daQDlccukzUbK9chMSxzV2dZjzqyg6vqeVquiOgh8+jQN ankLui+XuFiuWypE2H7xkVNLJDfrOFhM7PFE3X6Ds2yBK7qjUO44O1Jes5y8gsQ9LdiZvYlFE5f0 7Kr9gSfVoLpbanuJpyX0BxysurT3M73p9oPbQzPMxyhBi7GDVFQZM9YDuUEXha/T4kqQrfErd4Cw oSUDQoIigE7wNK+7iL1I59ZWniYi0p/crSYsr4VHR4oj7c+Fg+ZTISfmE+uoE1xvG4v0W1KlsKrp 3cuuB/wt3BAVgYJfspnuTIG3fny6TRIU4RhNCnCqzUnri7kwpb7pbtWNqgKHbenxquUlDOdeu7HM CPDzuvXmJtXOkRBfPH92eKX1mEvm+YFHsywgMXsGkLjt5JIxhxlmH54ek2iygT4l0Hu6K0jyvPoy 06xSMtLCNo/eAskunFNdv7PXGNCuWmQkkxqUYmF7SuuT/t9VMpnLF4yk+us00vJvd+9vgH65e/+t RxFa14V5rj4G4jqvMjoQkUo3ebxJyOT3Z2urgJ/XauTX1J1Kf/vjnT3gFUVlZihUP1UgnKUwqNL9 Hn24Mjr6RkPQ/Dzyu9IEfRvqPZfgVoPyCLTedgwa4gde8e7KL3gT2D+eR/4+Xf0S85TZ0b4W4Jfy UffOKk3PZJfT84iHGKPJBYTpmvfp466Maut0ui8DuYnelw1AFQQ2t+FA2xmQvGc8zQbIAyhxAcVx LMRmQb7Kg/Q9xro7YJIuMLxeh7QrzIDM7u9Jv7cBoO4roPqBBLX0mJj5ASjjaL3yaK8YExSuvJnx 10t15oXycMkImhZmOYMBbrNZBjNznce09nEDVDXwYDemSC+ypHnYgMFEAbhDzDyuMxfPgGR5iS4R LcXeUKdidh3jJV20K9ZtXnP/KstTfBxlMZoi2/nvJo4qz2N20AG0i2mOb3ArBx2YFaafodURDVF5 Vyhzf0fGt21AjzYT8RqF6IeDt5UK0z/BpEdJswlXVgoVm7wJNxuyfxMYvXxtGM0YLUztgSgw9s6i gMohM7cPA0jAVS4/8AonYDCijQW9Q5vQ3cn3Fh79SU9w/vywoB0H8wKLuAiXDFuy8I9hLPMDd9+f DZWyqfjTwSl29TFw8lhEVU1b6k3cMcqr5sjdimUi05TJlWWBDlHGRMJPYeiUKyLaRGCh23i5YM5Z TNz+9IuQDa0+mLhDWSbMzmENjUi4GxhMmMgELKP55pp187hZ0+zf6t2pePrAbNzLve/5899Nyoni Nmh+pVwiNL5fwgWjYEyxnAeniYSd1fPCDzQJu2vwkUWQ543n0fuQBUuzPZoNBLNnWVj1Y34h5O36 lF1lM//Wokhb5hjNevD9xqMtktYWkhYqy8D8LCegQcigXdDilwlVf9cY/fEx6EXML7IPcu9LItUp 1EdWjzIalzleuc0kN5v0VIDEPL81wCQq7jQ/R4D0J97ZLI4WwKe4+e8ar4tjEomZTEdkKZM7z4Y1 HxrvRnr+cn5FNjLff6Rzp3ofxSnvD26B23DNpOuyhq9q1sFiM8+On1K59hndwMJNLoOip6M85p1A Md+meGgCRnLtBFPBMJE6F1MBQGnFx+fvn1WeDfFzeTf1TmbX8iHK03HoxeD/SDV685MnjBr6mb89 f3/+9P7y3YgL6kdBGvmkrHsYtZco5q4oGn0fUWMiewBVNlyh1FGOFxJ9K8Z8x4l18wWma92G10qa maC0fZ8tHKK9rFGOMrzyQ2d5YVyBYY9vaLWku7cb9HW6IgbOSdJbJVN5JDEjSZdSvytP0vMo6g9K 7ke3/nUR79+/PL+Srgz6tULfNlPoILO3339ShB+6ugogICIuujaGS8TxziI8gMWjCeJ1Onh/mEOU TqfYolaJFZtk0WAEIyZZiYa5NOcOAnLLkvP9sSD0Z95BTlEts9HWZSPsNG1GofH+k+6LvWDcu3tE HBfM8fKA8Nai2TBcqgOBdr3mbi3vR1y7N/8iI3SNd456B52DiX27bhmbVwfpzrerZraxqGaSimjy vsmuWTXXiEKJYp+l7Rw0Rvc4dVmNOIgYvlVaHuonAZMSxSRnHn2towWSx7LOJta6jqhud2BOyuHT uFa1KCTNgI7nGJOe0jtXlQtQJ4skI3NkAffVlwJZB5N9ocrUClsUfR3pDTY53cXECo40UTKGfxXN bGGVZI9cFNh0DzOfqbtcn2CCbpdNTngjSlRTa7+Z+Ql+XJWhClZPaRcPF3TeBhhLjwBmkmkinU6h jRSd20vtEPaDouxQ7m6J1rDTw7Zv3717eyl9R++vmJSpS6Ly169vP95f/3P38vXXl8+fXz7f/dyh foINArOr/M0agv5+davz+qL0TF8DBZ0V6PrL2AfUYKATIeuPiIgkxVyQKo+aM9EEYtM8PfvM4I2/ pL7sqrMjiuIXPg0VYkveXIvkKo7m+1ffLxmREYiNyCUTgoNkzRAnCzT9Exb478BGAPNzk+NsP39+ /qZW/VQMUAMqSjwsPDG6gupnuSvl/vT0dAWtjEnvDTAZlc01Hee7MAGieBz7EajulO+/QQdvXTaW oRm7wy7k0cjJE53TTBFxMTpWF6aYY81xNwh+YjMQNhrV4CFGvSVlfdUJ5G7svuJP4VUOD5XwyhAu sCwd7qNBpSx//oGLIR6yzVD5elTQo9q7mQdNmLYu3GIq1ohMHjHU6pOMTGq3OtgyLQ6cezeSXV7N RroTln7jHywE5Kgr7vyubCksj0IiSg+uyqX+FFh672nIAkCUC0WzXtB6u0I4BEZcFFyeHyS26MfB UyeMxyI/PRYPeXU9PIwG4LYA/3h9//Lt9eVPWHqUVoG9O00ZG1atvr+9v316e+0W8WTJwj9uJ0Uy 5hDBiwD5NPWIklm69ltGGMWHsAykqXJ6zo9kOuzKzkIMPx1eUYWsEDEZFiz79PpFx+5PRxMbjTN1 J+G9ksfIxg2UUjrnQOPFP/Tkn+pKuve37xMZo5IV9PPt07+m4hNm/feCMMSrGlUiQtN5RLv136GT AnsLgOFF8vz5s8qTCBugetqP/7VGw3oS5moI/Yo5KJ5ix+eOfW7GyZsNLyYKFNqNGAVRwNK2fuNf tiqPW0dXk1o0mjIRtsxymB3aqjaAmLjrnp7Hlb9sFvSxWA/CK/GYKN4B0noBoy0PEJnv3YgyTrOS /lx7CCYJh1VSixOlanRXbuEloSDdg5SvxLzjbRrwtxU70hWo5FQV+tnq/FWB5/eIct8LkKMqon4Y B+zpKWU3DNWbySXU5qVbX5+/fQPxW7VACHGqgc2q1SE6/DOmG7pNd+2cCpBcuDsbtOAs8X8L5ohU QfpUu07JWCNr94Adswu9hhU1K0EVP9N8TAHyXbhuGJOyBlQxOi46ZizKoyDxYQ2WO/p8sp/YmHH+ UHTHbqroT+nZOad5ct2PD7LsK7ao1TOofar05c9vwF+pVeXymuoABZNYQE3iBWbaMU3KB4exuN0A vmN4QM3aBowS1QH2YeCaaFmJ2A/Hi9YQ1UdDpD/MfeIYuqME1XO6fPtpmdYdBJyZ6YCP3FvTrL0f rqU3co+lRpw+mtWAeLkMQ8eUVKIpmWwvekHXkbca59XqLVzTV9R+iKASEq/e1SKo407DDn2i1+GF fteqvKDl5Ew5XWoaZtgzDjOMQq3nqIJyv3dA+iZGTzUQPRNpjsmFkbqMKhhkcF8WTNjOCNhI5nod A8ey2DEI/5ScHdQEZzL2t0zIjYn7aHsYUhRJwckZBtLBaKewYfZoOV5j6lRl5WavQMHEeTmHsh6N 94Vkj9OVoMsdUn+FkZUIpb+3bjeNkhgvIoLdnVYpVSp8vhk0QGJQLDL7BePN0jV/TRp/w3AHC/KB VuhF0kOy9FBe0zMTqNOBmh1z2Uz3Rhy9r7978DfcJt9j0Jtls1i537kD0a/U9wZA4ZbJONhjsirc MB5APYT9aG/PwRwL7rnO5HLNBDj0kCSVygKqXm61ZhJT92gYypUX0ENpYvzA/XaI2SxpnwoDE8BI uqc+3y1X9KP6STtEp0OqOdbKPRS13K4Cd59OceMtGHvM8ZIznAmT0+QRpeddIryJqzTOs/uSSWqr gVCUl+ixPFHWtwGjT3PUEcc1LdDTNSEege7ISseG1qxLcXoAra9cnt8//fb57Z931feX9y9fX97+ eL87vIHE+fvbOKaja6eq0+4x10N55hvkU4s35V4O7fFiiRPRHS46MU9C1KhDOkG4qdf51l8sSJyB gp1/2xKzrCWClUm5rbUuk7OzC3t5SSQoYW5UcnHTMUPmsp0Zkhx9eH0P3bsmMwdC20+/Pv8AxWOY w/j5+2f7Dp5mV8WOcWowBrhsGrEbnYmTkYi7OI9I+G505bKW4NEK+Y8/fv+k7spg7wHYE6nmoSyK ZQgsgUlqh4BmufFoptKTfUZKytWODnoXk39W1Y+kH24WXIY8BRmM8UY6kX2XIV6Zt3VU7IR0zOIk pghNHo/HAYY22C6YHVQBkm2w8fILbZRVbbeVv+BdAxGS41Gsa6xFzNjwcnXRLGy6fA+RHPisud6A uLqoIPQO0ZPX9HwPZPoVOjIX5q7IWcE3ncfeEhOEuN6vx7he8CjWK/jUcUTpPU5iMnF2JpAMzXPW AHyCeGjWjKqP5Ps0d9UOwyrnctzd6PwMKfqaMVbqRQhSUMAEZnSAzWbt+Gg1wDGRGhAyN4AMgC2/ UhQgZMLbOwBITs6XCLdMeuWBvp2pv6UNRoou10tX9bTY+94up9dY+tSiwYfJWIms2kk9C7wQoORc +BAC0ggT2g3EKt6DfsQcFyhAzpoMVeMyWDhq13Egg9BBvw8Zi7yiFoFcM4EsSG/S2JGwDgFitVm3 M5g8YGxHinr/GMInwvOicbaxm9i0a4PFdDezK8u84vY6rbCPNycprlG+XAYtOmBzcVAIzKrl1vHN oE7G2EC7x2S5Y9VEWc6k60XHZm/BKE3a65mLN3K5RKtOKYCDlWgAo0QNAN/jv1V8bxgZx9baIYI1 z0+6pzhGFwHheuZNt8w4GQD3/j2AXPskgGCLWTKBLZdstVg6FjEA1ovVzCrH7AKbpRuT5cvAwUdk vATt2DFgm2y9bplL/1T99TLczAC2SxfgIW8dSy8r42MRHSImOxxKdLV4KovIOWM9xjVhlzxcOWQC IC89t9jTQWYesgwWc61st7TdXvFuFWiQbNjsESYIJFHHLjC05AA1EqU4Bx+fHsn2RxcupWnIBpIe TlkkS+smy6GQTyIyIHR2tXOZyeiQ0o1gzomT9r1tTpxXww2ON6E2Ffrhf7ACSIMHjuncUKgFhgxz M1BJsGQkImNUoq3P8LARiJ43Y/SiIlgGjC5yg7FWxBtENNl2yYjMFmrtbzxaPbvBcI/dzPVdgWj5 wQSFG0ZPsEGzY5BpVvkB1HpDs7MbCtWDgGF6Fipcr+aeqFCMO7yN4o5aDFRcebDRz8KqgEvhYILC kMmYYIIeNltGCzJQoAfMLuVqf3pKuYgMA3YOw8XscCkUc3QxQjFSkYG60J4LN8R/ObuW5sZxJH3f X6HTRk/EbIxESqQ0G32ASFBCm68iSEmuC8PtUnU71mVV2FWz0/9+kQAfIIkEFXuoss38CIB4JBKJ fPD4AHFk5wriQmJeenNrR6C2znpuygvpZLPyEFe+Acxz3NnuUvIh4vg2hiGC6Ai2uqttm/kvPY1t o3rM9JDTbmwQ50teuKl0Z70S8Nv1y8vT4vn2bojjo94KSCLT03Qv99ulpJOUxJkQ8E4txLy1Siw4 iZRi57oLXBAIgzuP42FxByoQR8A7UFlaFhD1xeTxcWIhzepBtB/16LSOHdOzxjeiq0NRSHiyXHoq jJICEpbKkGnpgZqu6mUV0TnNQtqNqRxOU8ZG+XngXmzohL68zjbJFNFSNc1mKNV8IM8pNYXdachS n8qGoc2g7oQmDlwqN1WbaxA4LQf69BamyeUGmVST4B8Ql691ARj0R/CoUnS3WeSx1u6ryBn5rPXP DeMun4uPyHJuokBOc5hj7DAcsae355fX16c+/+Xilx8/38TPv4sWvX3c4JcX51n89f3l74uv77e3 H0Iq/fjbdIh5tQ+Lk3SL4TSmwfRyAmR1+vZ8+yKL/3Jtf2sqktamN+mS8Of19ftV5RL+aE1Zyc8v Lzftre/vN0gy3L747eXfo55Wg16eSBUiQleDCIm/Rphkh9htkbvoBkEhGNPGfBbRIMgOrRAJz13s 4NQsAe66iDaqBWzctVkA6wGx65j3vqah8cl1loQFjms+bCpYFZKVi9y9K4Q4f/m+rTEAcM2STcPL csfnSW7emRSEZ+ljvS+jegRTSX9D3s2Y6dTghHgjMzsJOr18ud4s7wk+Ko565j1aIfbldmX7LkFH LvY7umejP/AlFrGkmUrx1jv5nmfDiM/3scg6OsLW++Up36wQyUFDINr3DuFjd/gN4uxskcAQLWCH mXhoAFuPAsDaF6f84jrD5atNFuBATwMGZZxu/gqR2ZrFeXE2Iz6j1XF9s5ZsnQ8SgQSt0yY1EoBY R8yV4SIqXQ2B3KQ0iIft1j7ljnw7CiyqeuTp2/X9qdlMTHlU1evZyfGsrBwAyHGrBXjYdVIL2Hg7 Wz9lJx87S3eAuUb6nnWwoIqZEnb2Kk7c85CMoA2PKXfJCjlNdohyhcTd6RCn5VwZJ3stvFi6yzxw bR9T/LZZp6vJnInFZNGEVvkskmnh+/mjrcCXb0Lo+NcVUnZ2ssl4V8xD0a0uopjRMcMNpBdx/qHq er6JyoR8Ayo/pC7Yv/yNczTIomGxkGLcUISCfJlXIe29XW8/P8ZC1nSZ+a6VpyYbx0fO7Aow0c1q 5t3/DzmwM9eeNFyzc56+oeRcoBFdHO+s9SdU1Rc/P37cvr18XBfhab+IWrm37cnydnv9AA8oMU+u r7fvi7fr//bSsV4BVpDEHN6fvv/58vwxPQJLx5loP/X4ZMmlZnl1mt5WNICwGAYpgSNVLsTyi9Xl XcKkxwzig9gDhHQfIYnaAfSQ8MZFXoud0jwXH9SRDCWLdiYcQj3mmTjZP9YFjUzHT3gh2kPwBZpU KsLNsCpFhBjEJI6z4NfVcjmsTgFiSqRbG6/5KFrCAAwxCWpxxAmNZ7ZxRwfU5FAMxIM4YYKxFNY5 A1p3YGp2/cVtcioa1KxCGgg5yizktBDOYsyVoYWAGy4ceHZb8w41wY33Qm2VY41X3K5ITNs0lH8M 48BsLgDUhMSsDhnPYyTaquzRTBxLibFlesWqJUG++EWdL4Nb3p4r/wbe2l9f/vj5/gQXL/qivu+F YYNOB8scO4kJgBLp5THNcHIVIlkSBU18KglN3uSSODA8G7xXBKQAa8VjiPjWdqD4FOJNy7AY2UAs GdSMksGbOwzMN/xA56XJ6xAoOUklz2xzlX5/ffprkYtd73Uy0SRUhlCyuzz02PH3TgAqgeW4QxWN QYiiB/Fj5yJ2iFo5KnRSHYc7zA5ea5XA7Zfu5hNyjhoiD+uNb97Ze1xKxRKPxbFre4wR8UsDZyfI 5lCnpbtbIhcaPTqLWUIvtRh9+DWtLiw162emncE96rnJXG9o6O2WLGvx53rj0AixojG/SMhsNZQ9 ZPXaPZ+iFWLv22PF3pvXMV+6/skPz/MtYZDkkV3ENPf97Q7ftBs4aEFIcNl4G/KAsxkFLnNQaS2d bVlS5EJ6Al67SUnJXeB8Gq+3TwKsr0V97ewLFh7ocFNUZXaUwXJmbej8xf795csf0y0kCGWuU5x7 NRsIaEVTPOaMFADEkhewEAkLI7ckiGV3ZLkQJcowv4BZ54HW++1mKQQ1JCspvAebaF6m7hq5GVLd UJCQ1jnfelam0aEs3ELs/+If22IGkwrDdkvkeNrSHRcXIpoMvmrccO4P2STF/4Hniv5dLZGjpoRm /Mj2RJnY+BbxZQQ0K0QMQLNGVe1RdRnla0Qz1CB46m3ETEOuodti8nDl8OXKrBeQ27G8zxJLnqQX D9PijoFoJq1WTAONy2bMwEfrcbqYxlstvoxomZITw/kTKYL8gO/iyYVHZi2zFJmTlVO5yFyFWC5S WLxs3Y2PhGZtMGLj3TmIga2OcRGXJB2zRga6xSRMsFb3ExLvtwEVNCc5FmqtwQjWj9k2aBDf3eCs K48x3YlkbAxJRtdw36jIkIgtalKHHBf9pim9pnJAAWFN5Pmt/lSx4oG3XD56f/p2Xfz+8+tXCJQ0 Dn0qTpFBArk4tP1CPEuzkkWP+iNdCGvPbvIkZ2gWFCr+RSyOC7EdDEoGQpDlj+J1MiGIPjzQfcyG r/BHbi4LCMaygKCX1bd8D6nRKTukNU1DRkz5c9oaB7d/4mFII1oUNKz1oBniOcTjiSEo9eApeNM2 R1A+agFIxtCwkqXTPDKD4fqzjRRmuAwWBdlTbsB3rELpF2H+yok+BN5IeFAh4UwEGTsfwdjtBY+5 lOsNcusmII3NG0ZO2mTc6OfI3RClcvGxY8eAhjsbF4Hszf3T8/+8vvzx54/Ffy7goDzJh9RVATJ2 EBPOmxzHhk7tpsIA2M+Lnq7Oi+PjYk9vHKOtdeTnxPyyTAV+xrLeaI0I8+0WkZZGKERB3qPixPXc pZkFjlDmCwENlG83iEm51kGY9Z9WzmnjLP3YfGruYfvQWyH+JFonFMElSM0usFqN4y5vpt/MJBuY GIwYR0MC5UHL0YPb28ftVTCFRuRQzGGq9wyrJHmcRiSOCpLQfRUJbnYXsXGjhgisCSkGMQBM6CJT 25B5mRqLb/hqSR7oNNlZq/u1f3QXcTo7aNwZ/qrlsVjw49RMOB3IyjNSgrgqHWctP7hpxUTJ3Dl6 ZlWquSHz0R8qkuzwUR4kwwdhQlTkwCnpNxI8TJ80cdlHWcqAmnEO+lwD+2hq7ho0eA3ys4DDobRZ MqlmANTYHtVZHNZEBkHUiy6yoI748OEJnJYg868gRnxcaU9FI/zKtqHWVrJR9FMFFk0mky/59tQS Sj6GJYIWSiDcHkpNypwgkfpkg1Qs7ZW3QS44ZRl5tV5O79KO4X9JjaiuJ+2e6Z91hOgakFczzkAh /Zn+6q11Oim6yJnkx7fra6urXfwCzrUDyyMJl7sSCXa++bbJWMZgboyCYsoyfTcYZbfQyJCoc/QG GLjhhkYtoiIrRPPTIgLCyCcrwouwHEMt4sggGQQK2Qehg9nItkXkmXkf1uhHO6LMUkM2hBHoRMSE M0l6clyyYLgkxYMu+MqY7wznsQBCiC5Q05vLblyrxzV0j5uo90aSqBojcY6+xbm1UCAbCoZgRUAl ye7gLJXB1AorA/xdlmtLEZfNTAlSAgynq6HvFcwReYgrOd1uljA0mxViIjZ8gTko586AtT8UmWTF pZbsWPKi4Ji3BYg/ggmv7MNWj6pQt8m3oLEr/Hp7FwL39frx/CQ27CCvuqve4Pbt2+1NgzZpVA2v /HPMm7jcWAR34lh0fA3ECRK6Vi+oEiOARIHVi0L0ngNMHiJBpXUUvadVYlKIs64VBtfW0PjK7OJk HYhhaTDSR+Y5q+V4SA2VWjZfmFflQ70vgxPHWZlcOlkEd9IxPdF4OoXK5OX5/XZ9vT7/eL+9gZwl HrnOQrzZmITp57L2e+9/a9qeJm7K3Nc3MLkrgQYhkQF47nllfmpcyig/ELQJny91GZqu57qRAc1k t/c2ywYU7KakKS1HF1u8RQ3fwUJSrXzLNtuDvEn2RRyIBpbWgKgZ4wC0Wm3ro/lKYIKbbd7DeoVY RuoQxNNXg6w3s5ANkjRKg3hIQjAdYtkPFGTjIkpPDbKZa24cbDzEjabF7ENnO4spax7gMp3cM7m7 iRHz8SHGXpXC2LtYYcxq7CHG3oMBXzvxzEBIzGZ+hSjcPWXd0SbkWlrHIJ6fOgRR/Awg932YP7/w AXa5zC9VgXNXiJGijkFuIAYQszaqh4CN/0xNF2eJ2aC2mJD4WIa/DmKTBwFAub+amdQC4sx8NOVb FzEr0CHO/Cg0sLlBPZSJN7OFsDTNIJXIcmatJeSy2y6RSBYDkLvxzbrIAWozw+8lCLn7HGB2iMX4 sE0zK1LVZp9rCRcHk5VXn4OwdcSz4sWxYeUhsSx1jL/dzY63xO3waANj3NzEANzWu688wN1Rnrv0 8DgGY9w95YnOw4M4TIB3lLhZOf++p0CJmytPLBkXCZPQQcqNN7PcAYKEBOnE9kMZo4luO5AyViDi fxaxGfGYsyJq5Ol5OXReiOY8cTBPfx3jLfEAKWPc3CgJ3Hozwx14SbDo3zrEoiJUECaOtPYjSkm4 s5mRHSQGieKmY/yZXV9g0NA8OsZHvE8GGMQkQcMIOdfOp6XbIeIl1mEissPSzXeY3l1vdvR17NyM 6rDuCktMOEE6l/X9bZDo+1txVxvC4LJCzJ86JHeJ4/i4flSBlFg3D5o5FEkvyRkB6JxsN4iFkQ6Z OapIyHxFSCwGDYJF0NQhQwZuALgrk1JWUuzMByAz0iBAZpiPhMz21xzLkBA7xwAIElNbg2yX8+ui gc0tCKnkxS4mOsAa6f3djKgmIbOfs/Nn59nOt2/xAEH8EVvIZ6m72nk5YvWoi6A+4rHXYUrPRQJv DyAzUnrpYQFiWkhKqu1mhgMBZpL6woSZ+XCFmdllcuKJUycZldReUA90bqO3lWQUYIEbAaNkoUNB 8uMEqC4FWWjwbWKDKwbxZx9avixoeiiPxhoFsCBmxVl1NBp1QdHNjVGXjO/79RnyvcILBmUjvEHW JR0nd9HJQVDJHOQWRDHWc+vUHDMI6qjMLIdKOkcSzkpiBfeqKHlP4wdmNnJQ5DLLayQ7gwSww56m NkRwpAWSDkGRmfjLQs8KTiwfH2QVFsAOyAkJSBzjxedFFrIH+oh3YCBjWeBk0b0lO9Ga75fYKpc4 FeQDpYt5fMjSgnF8HlBwl8M7msYEH0gIv5GZvQAU2azRlLTPon9Q6oEme4bwA0mPkORSQDxmcUmR bMjwbultXXxsRbPsi+7hEe/MKpCpqVD6mcQlYjUB5BOjZ56llgIOjwVuQAQABtFrcGqJ034jeyQK N1DLM0uPlqnwQFPIGFdamhYHeJISSUds8hQtzU74bIJet/LShIhhSbLKshASMTaFpfkJeYxiwvE6 CqqWG14CC4oMEhrgiCwV25NlYSRVXDL7/EwRI3pFK5j5qhKoWWFbNzlJIZ9FnFnWZU5T0ckp/oE5 LUn8iGREkwDIsY74ZEq64EfSYynAuZ40xsOrKMCU1rJIiiwICP4JYuOwdVPj2oXTbfuSjCsVs9RS fEkJzvoElcZgXYWYPUtMleaxZW8vsCynwH4KSlPCLTsXT0hR/pY9WqsQWxu+lgWD5NTCCsCh54B3 QXmEJO8qUzLOp0HAq3OORLMHhBN9pgXeyjOx7XxnxpLMwmsvTKwTlAoVW/vv82MoRD8Lp+GCG2dF fUQSZUsRLs5HFbQmAwbBtUvjZpSzlS3YRNbOmXkQG/gkQoCWD06vps9xP6i7Kw6u+I/jqvSM4vpr ncGgXoHWruwYsBrcD8SJRDlB9CZMWmy54UPIpzyMTw5PY7DaxditNNKLId81Msyq3DSd2HJr9Cbz Ka+PQTho0bB5JE0FTw5ondJzY3XfOcAMI3VA1zdWR8PRDWlExM5Tg9014+X4U3HT2AEsK/HOELT6 fBScNWaIK1CL2sfSpJyX6PRuep/L7pfZm/geiQiozCnLTBx2xN4FdlwxefzVGZY1Su/UL4bbx4+Z TOtyGD3/slzCIKGtvcC0GwE0Mm3I436XzwvI9SS6oi6xD5SwsoTx5+LgZC4m4iaLaL32SVLiAdGa 81WO3aVyVstjbu0IxvPVyrtYMZGYBWCVZcNAqkxIaIL3adb3qeGp8Vuzu7+Vx9vVpPIBotgSz9vs fCsI6pKxIMfpB7sp2CTOCl6fPj6m+Y3k7B6arUqjWjAmR3ZHoJ9D/MvKYfIO2ZBUbHX/XMjvLjMh AtPFl+t3CD6zAHvGgLPF7z9/LPbxA3CfmoeLb09/tVaPT68ft8Xv18Xb9frl+uW/F5DpWy/peH39 Lm31vkEE15e3r7fh5zW48Sc2jy2G8ToKlBmYTDcojZQkIjjTaXGREJMw8UDHMR46yL2hDhO/I/Ko juJhWCzN2skxDAmdrcN+q5KcH5HE3DqQxKQaxz8xwLKU4scWHfgAoURmUW10UzEgwfx40FR04t5z EGW+spifWu3CAmPfnv54efvDFEBG8pkwwNISSTKc+Cwzi+V4Lgi5dYQpIqPK0iWPCBGTX7kxn5GE TQ3RrPeVNR+ZkN8oPhLAqf2hkrrrNBCrzNxIeX5MVqvyBwmU0xPCsBtQr2Y1FWHxgtRQhBUB5Eac xRUP7goxENBgFnWn/nVHzORKA0kR6Ehty10Bwb4FNMQ0xr0f9MpzsWOaj8Q6qllVifl6QkPSJKem NA8aJCpDJsYjQ0bqxDgSCkMDsRxxUtExs6XQ8HBXJ7W4GtGg6B+3XTmILeYQhWUv12e04Hjz04fl yI2EBqnM8Q80CCilc5JC5uE7obOwGPEB0DHZHuKBBLMjkASlOHnPd6z0hp4FZdzHDChGMCzosg67 VPfMoZScEqPnvIbJY8ddusi6yErmbZH7QQ32KSDI1Y8OqkgMh9M5HM+DfHuxCAUNjESzLJMzWhTk zArBmJCLCR39mOwz8z2ShppfjsHjnhbg9TkHvAjObxPMmjHIUR27jkpSJqSaewoL5ku7gM6mTmaL OzN+3AtparZreYXl1tBnSDm71qo89LfR0kcMffU9aSxsdwLBUM1guA6VR8mEISYBDdXBd2ISVqV1 PZw4xc8BkI28RO8mJMJySmt3zeDRD5A0nwom00HjAlWI30/IYy/sp+h1nOwEuNK1xSuUgDqJxGmf 8FLltsb7jHHx43TANwokX6c8JhYkDeiJ7QuCRbyS35ydSVEwC2IcAHSkfOC0VCfkiF3KyiJJMw5B CJAIWQB4FG/jE4h+lkNwwecnaGDET2ezQlKnSRBnAfzibpCItzpo7SEW2LLvWfpQi3Gmhb2LxCBn fHTV2i3L/M+/Pl6en14X8dNf13fTukyzXBZzCSgSewmoMgX3yabKhNOCixi6y+NXPDZH0rTBSDP1 nfVAhOw20UuqpzNKAB0EoXSQq5Mp1ORJqqGgP+AC/vyrY6C2R9O0SmoV84EP1I6WM1E/fNf3l+9/ Xt9Fz/RayJH2R6mxBk/AFxZUCuPeimBiWraMVu9WIcE05dcVVnKr9UIB+YU4SOh6eeI9WYsHsosz JZ7m8LpU3+FlQAPxZb4PA2sThEDgOEiSM234lQMkfjSX0UkmqkF9TRjH/j8GHGIvRJ084+JEOZwC UaMU1NdffzIfAM1Psz29jGeP+jXCFw96nSZnJRrSQHJfxFBLdmidBvimqrrb0qqoSgMQ9iyQBKIV tfpIZMkjio2EiT1btcHyAXP62CCEvFfNUFrKEaNaI+F9FUBaD1jok2u0ATXcH8ymK4p8pvsAuZou H3PEiUEyBQh0w8+sHGoHG0SSaLEM8nPB6SchCw5z1TePebj1t76hjJbeRszti673caZHj+keNXdZ v277WiDVUl0RLL2WeHO8E6srNpmlSSVquuPGCMrBkmgCjYfHgA0bLB8JrlZGA1V/T8rEii8IR0TH IQ5LbTVEjW5HBsTwHCT8iKRL7YC2LFs9KoKfyMmjRyUs3lNSme6/ACS3vGTSa8NwLLLfzeIhkE4V ujcCubJ9cCVayTwxzfH3g0/iO1DqkZu1YEBLkLBAfe9caIocP7VhwwJo9xCSeIgPQkITLs64D4bu hytnuIrVYkjBxayM/6H3fv+0xo2sJGhfgCCf/h9lV9ecOM6s/wq1V7tVO2ewwXxcvBfCH+DFxo5l CJkbik3YCbVJyCGkduf99UctW8ay9Zg5N5NBT1vfarVarW46cC3uSbxdzf22PTDZkhnEWZkDWw36 tjM1n2uKMtx4hN6OXQmAkqZoStbvW0PLMneYJPEjy7H7A/RwTNLIWNC3cLOwoXD0Dr7Cp+AJliRI XTZtlFCHSfBvDaOMt97RcMLBW6wSdxzbfFS44ubjU4UDRUKJT1Cce4Wjl6bXPgE++CqCEdD7SgKP uZY95H39YYKWhe6+UKZVETI75qVnT4BriKJp+cABUZEKgwmXUbzPDoLIdabonVY1JZ1/MR7ygRVE AwuEMK/TNN5FNRa2vBX+8+X49vev1m9SJs7ms15pRPr5RuEgDKZMvV+vNmS/tVjDjI7VZhlG4vyB u4CXSjyOthnQM0mcIlV35E72QA9AxCu6PxT9uy4Njox9k5+P379r1251S5gmH1YGMi2HdxqaCG6L roI1wjg3SQ4aycIXApTYrHNYWuUx8nZ5bmq+8NCImJDvN2FuchGs0Rl5mQKVAZSh14/vl/2fL4eP 3qXo+uv0Wx0ufx1fLhSNRMbr6P1KI3TZn78fLu25V41FxlacHBb/RPtl5NrbdClDNuUamTi7orA9 jezoEU3HMqi6Hp7q6OaS83BGgSrMuspQ/LsKZ2xlmlK+4KBCrEvI6Iy72bpm8Sahlplelrt0INYT lBRSS1q4eSIWuTFReaz95Xx57P9SJxBgnixc/asysfFV1T4iQXI+YauNEKuUmZ5I6B2V8/Ta2iZC cXYMqLCgUWuZTl4lDckNr5j19N069HdN/5h6rbON+aRD1pZUU4Pgpb5js5nzzQc2DVciP/kGApFX JNsJuM9WJB5vezw2kIAnhjWSEYpZX5IsHuKJAxT/iiZm29EUxQsvaTLuuIMbZYU8smwQmVWnAW/6 GkQgJnxJtBUk5ltBRZG6AXwwrNH0b3SQJBr8DNHP0ICgqdVoDK0cxYovSWZ3A9t8sFIUXIjeU+DU WdEEMXTFU426mMjgjWaNxAFuSuq5gLADisSPxbGnez1kG0HSPbmyzWQC7i6qjvHEumtHu6UHxze4 A40LEE81kptLdgCEYI2ku7uIBIQY1UhucxgQu1BjDcDIqOr1KXI0d50Aw9tzZITC8GosaNg9AwpW 1t2/YhHa1g22ELvpeGo6AMndqO23j+YPRWz8iV3G4wNkRKLX0KQs1BbD1LVV+enL/iKOHK+3Cndj EEOtNids4B+kRtKKpWIgAZ4H6nvXxNkFLA7BY9Ua5RjoCa4k9hDcR1YLP19a45zdmD7DSX6j9UQC nM/VScBT/IqExyP7RqNmd0N0Xq6mQeq4N9YeTZTudfXtYXUXawo2OXNOb1/oCKNPqKakk0+tLJ7a /b4uxymM/O02ZTk5DTv0q9X2lIv/3dx9xgOTF25xpOZFCGRj9b2YXZ+aVHleU4GxiCBox2ERibvC CXMtbpdIS4J63mTCnTEx7HMvNkUiZDkFCmA1cVikbMuUaw3vd2wbUvbmA5P0VesBC2UC7xBIdzwR WXkwEFlqNUuDsmwjLiNXLCiDXTwHhkJXGiMsWgdbxgNyu8yMQ+K+HA9vF43dMf6wcnf5FlZXpBtP CSJ9tg7a74xkfnT/rrkUuZfpxgLWZU6gcAFVIWRB+KCCaOEz8BSuUdVa49fbLjubNTj1UowX5W3f MEMJDpNd7K/W9T5QybGea/l+6/F8+jj9dektfrwfzl82ve+fh4+LyRXwLdJrgfPMf0DGHDxn8xA8 b50nkReEQHkfB+TWIOE7cBPoLrIk9qunNebSYz+K2CrZGl/gqIyipQy6myTLdVoLEkKBjgVGIQFS ltVYSaFNI+waRES64nZfTo9/F+Fx/jmd/67PfspowT3zCeGaofQZMwT+Z2pkPHSQcXiDCjiX0anA tYNOBFT0OhFwXFQjcj3XH4NowA2yKTih1Mk4hQzYuebLKKK4S7LQfBtWyya9NytxayQb92ZlgnDr e611V4u6Ypwl16wW90JmXdFtcmvdFh/x0+f58dDePKU6ttjetJQ0S2b1iRsteebKCtY3NenrPm+m 5O6s/KB2DUrPU+ilxy4N89FwVo/mYqxhbSWyMJolZg1MKLpwrXRwraZnh9fT5fB+Pj0apWifHk6T 2srY54aPi0zfXz++G/NLhUBQslBzjtqXNUZHQWvuGyEwioOIqNuv/MfH5fDaS8T4Px/ff+t90FXD X8fH2pV+EVnk9eX0XSST4/l69VTQEANcfCcyPDzBz9rodbTLQAz6g+xrfIYga7Vodj7tnx5Pr63i qr5wd7PMjXk+M/ah8fviaeA2/Xr1sn93Oou1Cwq5W4euW8p5ULrK3DQ2VuFWQYWq/n/iLerSFibB u8/9i2hYu2fKr4y43nG6xY38eHt8Ob79izqidI6/acakLos0fVy93f+pqXktKo1J5Rtkvpmj+tvc TUyPGWKxSrOHFtPxMha7zVR/VjO8COusSvwobR/rM/WaugNP+2oUZAKQrPg6NgY3IsJlEAaSXC+3 vKIQ/N1cg+K/RhvP2ud6nqomnN7JVyS2njG/N4TIa1KU37YmDnt8PLwczqfXw6UxaZiQR62RDU6q CjWfmJm3jQZDB3oOVDhyGSjxMfYdq3CU/yxmFlDHCsgGZ2sBDYFGfRa7ltMvnseZJX9mgwI9NkCB TGOWeUDQKTBz70oMnLHlcOdFRXcDcfgzi73LLffMmS+37h9Lqw+8p8fuwIbGU2w8dPCYKxyNKeHI R6HAJkNg4SGwqQOE2AIDTdm6YrTNIpvARjZ408xdBk1seL6cDCzg+1BgM9Z8MKy2X30ZFkvzbS+2 8t7l1Hs6fj9e9i906SvYbXuhjvtTKzPXVoAWcLQoIHtknn0ETdHCF5C5hRIy6+oENAT+SAU06o92 MvKXjAUeRWCNaZSYNYzHuFXj0WQH2zUGK5gg3BtjcL8goMnErMsX0BTosgkCQRII0m1c6pIY87R9 kmQzFjPHs0vkehxxLTF95QfmLXq18aMkVYEogXHQIpwMgUZ1sUV+eMMVs7dbWHKUu/ZwDOyoCAPH XolNzWNeYOZhEEdpC11gEWah524FaJ7phKFbRzq7j0DfxG46sMEFNGFDcP1K2BTkuWLrMdJGc4/G gfyAdJiA5SER9SeWecAUDG5GFDzkfWB9V1BYtjUwd2aJ9yfcAs1QOUx4H+wPJcXI4iNwOS0pRAkg wn0Bj6fA10MBTwZA+1HCIxBGoyxb2u4hgjxyhw5Q5myCkdWHK6oU/LctXG07XVtMfRMKzqe3S89/ e9J2HhI2Ml9siE3HB3r2tY/LE+z7izg+tLaxyaDJuKszbfVB8cXz4VU+3yruC/Rs8ogJcXlReiwD 0pw/ArzedfkEcS92B11rUGFhRuHg+TxFAWxSDpDNt0nTeFHpTJotLa5Kjk/qqkQMQak20qKXGgkK XQNPFVT7ri498rTsu5Y3LHUmbGVRqOHLKSRm074YeCSvOH1wYSGgARABCYL7szMEDIagIZIGBIR2 WseZ2ua5IzHg7ZUwcKMpoJE9zKDYIvYpC0m/tIeNAI+lfCejDmnIGU1HHecwZwzEXAkhYc4Zj2B/ j/HYdkhRA2ACIrjCBBxBvTTJyfDZDPIhCmMRj+wB6E2xQTsWFAicCZhlYg8ejoEqmrAp2LsFbxf1 70/spuF2g8JxgFRUwGN0wCzhETiRFHtHqwfVVVXXci6s8wRrefp8fVXhwescqIVJMDgf/vfz8Pb4 o8d/vF2eDx/H/5IFtefxr2kUVXFLpaJ4fng7nPeX0/mrd/y4nI9/ftKdmc5Ipi1LMU3XDLIojC+e 9x+HL5EgOzz1otPpvferqMJvvb+qKn7UqqgXGwxRCBmJNQerrNP/t0T13Y1O03jv9x/n08fj6f0g im5vjVJn04dclFBkXKZQxEulNgiy7m3Gh6DHZvHcAt8FW8ZtIYMjhUK6HvQdHICqVIXMH7KkQxMS 5vNBy2VaYwm0e7XYhg/7l8tzTQhRqedLL9tfDr349Ha8NAch8IdDxOwkBrgW2w76HQcSAs2hEowV qoH1NhQt+Hw9Ph0vP4xzKLYHQE72FjngQwuS4cHZZpFzG7DVRb4GCA/HSHVDUFO/p9rabFfBxQSP uNCbjtfD/uPzfHg9CGH1U/STYe0g9WCJwvkvUaiQDK2OMGoljDb4YJvwiegM+H1FgHJYxluwmYer DS2yUeciq9GgEsqFGPF45HGznNsxCMVDlOP354uZp/3h7TjaAJm3piM+GJZoQIGXzFjq8Sl6nilB FI9mtrBQiB+C0LEjHtgWsLYkDMgrAhoARZKARmCJEDQCGtN5arNU9Bjr90EIOHk0oBdVkT3to/C8 GhEwAJagBcSmPzizbCC3ZGnWh+/58gw+xdsIFjkEXt4FBxWsF7NXAs2HhVXCoOlvkuZiEpmrk4oG yteaiMVZFoq7K6Ah4H75cjBAAXry3XoTctDhucsHQ2DmITHwjkANdS5GE1nSSwxY0BM2BnkLbOiA WIlr7lgT2+xdYOOuIjiYBQh0lxs/jkZ9dEyXIDBg2UQjdOX0TUwDu3WRVnI+nbMVJlj772+HS3EX YOR5SxjHSkLgQLfsT5GisLzeitl81bERXWngHQ6bD5BFeBy7A8cGbvHKLUJmjmU1NdcWsetMhh1B Axt0MDJZSZfFYs10RDLVyVq5KXM407AVA/r5cjm+vxz+bZwkqNVx08mYyq3+TSmoPL4c3wzTotpD DbgkUE84e196H5f925M4zb0dmhWRHkOydZqb7or1gaKnYWaqsirmArWTyvvpIvb4o/Hi2UH+bjxu obcidD4fdhzrh2B3LTBw5hdnd7TFEWYB3kQY4lvyO2QhnacRFONBxxk7VXS6Lr5GcTq1WhwR5Fx8 XZySz4cPkseMbGiW9kf92Gy5OYtTeCEeLQQbNXNuL+Vo+1qkaOTTyLI67p0LGLKsNBIsC+huuAOv awQE4kGWvAzH0coddABcpHZ/ZG7Gt5QJKdCsH2+N0lVmfiNX06bB44Npcw+s70jad+VUOP17fKXj E72ZeTrSwn40Tgwp2EEpLPRYRgEx/N0GrNYZ9ISbIkPhLPDG4yG66soCFHl8K+oJpCXxkXnlbyJn EPUNgbSr0ejsqNJk8eP0Qi4HfuJ23+bgvRdBFtJd3Cih2BcOr++kIAMLnPTOUyC2CbYZxjvpfzJx kzVykR1H22l/BMTKAkSXh3HaB7YxEjKvvVzsTWDiSQgIjKQ/sSaOeXWZeunqB6rm9kz8aD6bpiRp tGZI2i0i8sPVyqKyrtUdUsXSXDHIzXbIhEsvIboiuRAcsrve4/PxvR1nRyBkrKs/etkFoTaxFSCr xUKXvmqa5Ilkp0y/yiPNYmscImXuEkaqEYzTz8n2Lc+SKDIYraWLhx7//PNDmiXWZ2zpyn1HBMZd yY13y2TFpF9NSCXS1WMnsSH9BElHPjRmYbydxHdUJiSLw63oxThMw+7s0i3b2ZNVLF163qaiZuL6 i/mSdteKpekiWfm72ItHI8AoiTBx/SjJyWWdB5xdElXxXolcrZn5pjaqtU/Jj66LvEkBi87MEH2B vT2dT8cnjbuuvCwBoZ4UeU06YSbzG+VXof6z4gOFQvW+dznvH+WW2g43xcGSLrqr6ahQ6TLbWV6/ DFLgYzcAntV5CAzveRTGaJnKA4P4/8oHbthdCtwHTghlmBmvbhodHF8Eh5XDr+1DG0ZCgxAYxKkj ZRk3WuYKLCSfY3Ve5m9zewf8MApsYPa4KpDhrs7EZcKai/KTTObZKGMoK5bwcLtjrtl0TVFx311n yEGJJEIePP6YeVq59BsSi5Limcvchfb0LfND0XcCA13yB4a2GJoHHHZy4naAs7yjLqsw6vg0sFtf Vn1IT0QCrg9RkVb6YUxS04f0TnBHuBAxa+9ZBIMg66iHJl5bUjuxC2QP2MG7oNj4zUGvsFWSh0HN 8N1rJoRFgvT0dE0NWEVXFXS3TnKgzl7nScCHqDsLGHa2nPpggEXLIvbQgIvFu3981sPbBFxOSSM/ KKkLcu9LlsRfvY0nWYKBI4Q8mYoNCdVq7QUtSJVjzrs4RSf8a8Dyr6u8UW7V5/lOn1kxF9+YJ+Km oq59rZw+UfTylIJMDQdjEx4m5EpdSEH/+eX4cZpMnOkXq+bpp066zgPzMWWVG4ZUcV9zSwvh6uPw +XTq/WXqAXpFpTVKJpAPszxqJFLzKM5dKFaPJsgSKITOyMt800OQpZ+t6iU0BGoh++tDIBNucN+C Zsvy3LRziO06KANka2846Y/swrpQa+id69s3Xjw3Jj9NfqzVMsnIqyReY8zrwAKM+ZLzIHSBPxQQ BQSFvLmjrrOO6nRtLm1+rpbrLFT93EgR/bIht/+e9FacGQiib4kh9ZvmmeuazHM9VKEEGD2FND0u bH4uJ5AhW7Wpt7Om3NfikLzKQxdH2XYzFoNe43drxhcA3HTsynG4EgsCce24Y2KkGLtbbYed6Aij WVehKTnDBpaVD3wD+XzHTMzaO5pijH5+n2TLxlJVYGMm0u+N3fitRdopUiDvkfDQUA0ZZXPVLMsL OcURE1tYWvM5V8/N5L1unsnHE0LKSGrhJ0laaf4UddELrELNqv5er7JUezBQpHTEPHD9dIHGwQ0R kHgMczw0dFG9uyKudkFtm6zBap/diX1W68Y6NgZ6XJ1obHIspJFMnD4sYwKM0xtEZjV0g+gnaou8 zTaIwKsBnehnKg7ufRtEwEmJTvQzXQDe9zSIwHV9nWgK7Nl0ImDO0cjpJ/oJvezRKw6udolIyL00 y3dA4qtnY6HYlE0qPAkYd8MQzHpVE6s55RWAu0NR4DmjKG53BJ4tigIPsKLA60lR4FGruuF2Y4AS XCPBzVkm4WRnvpKtYLPrWoJj5tIGDNz1KwrXj4SccoNklftrEHajIsoSIezcKuwhC6PoRnFz5t8k yXwQDVVRhC7FuDIr/iua1To0K7G07rvVqHydLRvuamoUdFTTPENFIMzIKnQb4ZnVuTfZ3Ws6dk1l VrzvODx+nunyqeUOicIv1oun37vMv1tTtCvDyVzJZkWEdjHw9EUWrubgWFBmaRbHChWJEOQhiQB2 3mKXiPKkqIxMQApZe+fFPpdXBXkWAv1jp7JNgUY5Q7r2ESdwz1+JKpPmxU3Shx2LhAzFGgfaFplZ iSIEOdLi8GSdgZf6PBftdmU2FJ174UepUdOpTv7Xrqi7IIt4/J9fyPr96fTP2+8/9q/7319O+6f3 49vvH/u/DiKf49Pv5Pn3O82SX4pJszyc3w4vvef9+ekgb36vk6cwYDm8ns4/ese3IxlpHv+7L03x 1bQUp3yqvrvcrZKVpnOcuxQdaT0PV4IgW7t55LMl9lpuJp89ZL7ZGrGDnkYL6K1DcrtdjCbww90i pgDckFaZ7Jh7ScG4k6uHVc21WykjaPEklTOp84/3y6n3SPHLT+fe8+HlvR6lqyAWzZuztOYoQ0u2 2+k+84yJbVK+dMN0UddGNoD2JwtxijUmtkmzuv71mmYkrOT/VsVhTRiq/DJNDdSkd2gni62AzQ15 lOmaor6EmlPe+GF1/JMu5lrZzwPLnsTrqAWs1pE50VQT+ce8HapWS50F8KpWkBgd8aWff74cH7/8 ffjRe5Rz9Pt5//78ozU1M84M9fLMbt5K1Hdv4ZnHzdpv1e51tvFtx7GmrYqzz8szmT497i+Hp57/ JmsvVmDvn+Plucc+Pk6PRwl5+8u+1Ry3HvtMDZUbm7p+IbZZZvfTJHqARsPV2puH5NcVTxru34Ub Qym+KEPwrU2rmTP5Kur19KTr5VXlZp0j7gYzXBU3z0zNzU2ba1XLmeGTKDNHTCrhJDBf95ZweqMN W+C3UbEA/+E+AxfNalQ8IQPma+AMrmwZ54bOX+w/nqu+b/ST5kRUcceGH1HVhBtN3DS8cSr7wMPH pV1u5g5sUyES6OzI7QLFVCopZhFb+nbnaBUknSMiKpJbfS8M8Dyal3tLay78xBqLPeCyUMHdX4di oUmzjc4RyWLPAk8gahRAY3OlsJvmSS2KAXjootjFglkdzETwJWdk6EcBOOAhxpUCvEEp8bgbzoVs NUuAbrHcbuaZBbzOlBT3aaOWBYeTIS3bK47pXoSvqSg0uKJYrWfAOF1RZG7nnJpFyT10aapmPSO3 pGH3bsZ43jk7iaBzxiBTnRIO5N9Odrlg31inIMFZxP+vsmNZbhtH3ucrUjntVs144ozH8Rx84AOS GJEEDZKW5AvLcTSOKiPZJdtT/vztbvABgA3ae0hVjG6BeDT6DXQwTZWdSJzsxikgOIarwlfepqfB yV2pxORiVyvp7ln3rOsj5t5a1lC/vLPUjii2Eu5GMqR34XlXvP/R5PABvOBy9lpwG/fSmae3h+8P +w/5y/7b9tjdkHYuVvfEXiZNVKicSzHpZqnCefe+MAPxCDENe0OCEFLEhmwNjNF3vyZYS0hg8mCx GUFRDW/QLtp7ANpU8UJ722fPaviEozxJyi4eWlf+yeE4sGaRa/b9s/t2vAUz8/jw8rw7MNpEmoQt f2PagTtxWheA3iGNEU2f1zexWF17jNcJaTAJkhtx+Rfb2Xsk+TA0XrseY3sF3mLF/DAoN1km0NdE jiqsP2vkwA7Aog7TFqesQxtt/eenv5pIoCMIw8GiTWazsiOWUXmB5XuvEY69eBPeEPULHL2yREc+ 39UXXcreqdY+eJySOTquCqGzmzBLacYEqjX14QXdv8lCeqJCeU+7+4NOir77sb37uTvc/2K8vI5h 1aZSddn6/JSVVjWGl5cfjQSXFi7WlQrMFfN58mQeB2rjfo/H1l0DtWNRuLLikbtsoXdMur1rMTqU w0YElDTGbGGYgOqDT7cbRNKlMINWlEfFppkpmTm5XyZKKnIPNBeYHJSktqIjVZxwkkL7XM3C3H0u dZT0mZUdvatoQQmRUVaso4UOLSsxM1lOBGYxcGKr6dQ5blEzodxHTVLVjd3BH44/Axr6F/n5ThAB DqQINxfMTzXEJ1oJJVArH+FpjNATOACoJ+IZOSri0GwFqbHcOhlovk4414A2zKyszyCPZTa9UJgv g7LGVliodaTGgP6is3GEWeoOW2PBtZ+x7aiSMN1QM4e/vsFm9+9mfXE+aqN88WKMmwTnZ6PGQGVc W7Wos3AEKIHLjvsNo6/meretnpUe5tbMbxLjTBmAEACfWUh6kwUsYH3jwZee9rPxQTejG71gK2WU AGu4FrAqKjD0KSAzZAtm5rtuwpSVxmIX2B6bA89Bn6d6K4BGYQ9TliJvaX/RrBTeE4Nhh6NSLTCb NFAIXJC2x/RQiqoudF2XomTgoPSrWK7yMQo25DLv+sZ3ZAsbqoSTa46NqNT5UrLLeapX2OjnymS3 qbT8Yfj31JHNUzsbrd9FqmFpUnqU3jRVYHWeqCvUqlKm36xIrOQ5+GMWG6srkxjrBoPkNJ/rnklY pVGNTGwtHaSLV4sRt22eamUEPX/13MEk6JdXT2CdoAVscYrfZGZKCAFIxLwdlNmO+XPN2ev5aKww Gs9rRQg9/fTquS/crlA+PVdAOP386nkujDDAtjk9f2ULaJd4V0YaNFWCbHLIFMOl+ZwlLOMCqKPM 2DHCTtej1sfj7vD8U9903G+fzMjhoADBJ6slVZzgI8waHgXuZa9eaclLSdn38xTUpbSP+nzxYlzV iaguz3qibrXkUQ9nwyhCzMdrhxILXyGeeJMHWCPWe8w3WSjRAhBKAaYVC6XfNPAPVL5QlnwivHdB e4fD7p/tb8+7fauCPhHqnW4/csuvP4uWJDNekVO8KasxB2AhoqVxDhSMv1kFKr88/fS5X0ukoAIk A95xspOcFdiz1BsA2cVbAAI+Zp/kwPRZ7iMLoBKwBAElhRNoX7XQEwF1H1VVTLfOgiriki1cFJpE I/N0M+5uJlUEs8SwccEVgB5Ks7xv4Wnlya2yu+vOTLz99nJ/jyHf5PD0fHzZu6WvsmCeUB69umJ1 BhpoaUpUEsgws+U8tjg7/s2ufR2WbvJKO7V3DdYeCybpm3dadSsmwHfOijYW3ndmG0RwFMG2wzdT PWF33SEikszk2QZ2A+Lbk0pA4EImpcx9tqD+igy/ishX0EuTXBpwsS/ahXZBQBHC1IMxfXWQqe4p c6JGDsWbrHAw4xZL5LE+pxP9XXNFrAa9SuMkqqrJ3HN/rAET3etSHZQZwTHriL6yDIDcOqVkIBTd TFO5PP3FzZwYqGW0RIvEPho6rIX4H+TD49OvH/BdxZdHfSgXt4d7xwTP4XwBR5D85S8LjvcNa3H5 yQai9JJ1Bc3DvshZhZYvKplTb6VrYLOoQfBWQclv3eoKuBTwqtgTCCFHjv4ae4qn10KnhgHf+v6C zIo9lprM/GneBEdtnb9TxPXubiMu4lII9xkH7ULB2PTAfP7z9Lg7YLwa5rN/ed6+buE/2+e7k5OT /w6OJrrQR33PSa0ZZ8wXSl73F/fYeVEfOK8JmkeTpq7E2hMyaYmUqc3lnp03O1mtNBIwHbkqAvf6 rz2qVSk8de00Ak3Nz0E1Ulf1PoWNeaMvXGPygk9WQaSvwmGoaiVGdvBA8P1EJ3XR/4MqTC0XGEyF lyL4T6M6AMvS1DmGloDqtZNkYvZLLSU8LOinFp3fb59vP6DMvEMXIaOEocNxSt69AS+nxBjdB02c OpCDdouCDizdoArQCYjvPI1kr8VJPFNyvxopWL+8SoJ0fANURTXPaQCAytbMTxyI8SYFEZJ3kxEq rpiysMMTKdb4RgfxqtUNFaMV2ho9ETwoNFiHiR8qutDyaFNJ64SZesSszrXSSjNSjq7XQ+cqKBY8 TmeazAg6CWxWSbVAM97VKVtwRlf3AQH9xQ4K3vbEs0OYoF9ZJr6uidn+UPcyAPEXHi498+9jGWRF Kjipbag09OZCUhKvW4nYtXijqsUZ0ejtcc/TaMsbk5hu/Zebm1DyWxuorCmquM4K/RvPnaaWqPhn Fup8leRgGrU2F60qawr3iJbfEoegIa5KXjtBoZYNcaZXBwLFLkrrWFx+3N/e/fj9Oy7Ob/Df48NJ +XEYR+9L7NEJ8/eXw10bFD/5YUR0sHJCmcwXPJe3d8F0N1Tbp2dk/KjKRA//bo+399bLdcs69yXu t/wQLXHYwST/qq1C3rWir11zOC6xLSN5bTjXtLoLWi006zPR2NfnEJ8LuMDRwHunyN3wULg1etNl 7HkXRGuCGLoqnQurNooXGnbCkUTvBH8NMTNnAo5u3FKmEsuberGIlEGlbqY7A3kAXNYP7/yaHnXB nPhCrPE4TqyMdoLpDHvPG20tXhl5Evp1YBUwKs/TKYRA/iQ+dZ3g2kE3CQcaTvnsF8Koa/f5GhO6 Jq+9H47vN8yAZfoxFMaTKnTrTCy4L5ODoEnMpwtoOl5OEPl15tdd9eQxlcJ750KvYDG1/BgFXqDn EMQDzxiAqeIuNCHI70UWKF67p95micpAtZxYKP1SwsR8/I7HliDpioj3Do0mykxOUAQIwSgAwpz8 CGr6HrbadeJFAJhXm59k6qN7EtrR/D+A5dYCI8UBAA== --===============7255006969664706386==--