From mboxrd@z Thu Jan 1 00:00:00 1970 From: kbuild test robot Subject: Re: [PATCH v11 1/9] LIB: Introduce a generic PIO mapping method Date: Sun, 21 Jan 2018 21:17:27 +0800 Message-ID: <201801212010.4rD9vlNa%fengguang.wu@intel.com> References: <1516537647-50553-2-git-send-email-john.garry@huawei.com> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="bg08WKrSYDhXBjb5" Return-path: Content-Disposition: inline In-Reply-To: <1516537647-50553-2-git-send-email-john.garry@huawei.com> Sender: linux-kernel-owner@vger.kernel.org Cc: kbuild-all@01.org, mika.westerberg@linux.intel.com, rafael@kernel.org, lorenzo.pieralisi@arm.com, rjw@rjwysocki.net, robh+dt@kernel.org, bhelgaas@google.com, arnd@arndb.de, mark.rutland@arm.com, olof@lixom.net, hanjun.guo@linaro.org, dann.frazier@canonical.com, benh@kernel.crashing.org, linux-kernel@vger.kernel.org, linux-acpi@vger.kernel.org, linuxarm@huawei.com, linux-pci@vger.kernel.org, minyard@acm.org, devicetree@vger.kernel.org, linux-arch@vger.kernel.org, Zhichang Yuan , Gabriele Paoloni , John Garry List-Id: linux-arch.vger.kernel.org --bg08WKrSYDhXBjb5 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Zhichang, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on linus/master] [also build test WARNING on v4.15-rc8 next-20180119] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/John-Garry/LPC-legacy-ISA-I-O-support/20180121-194832 config: i386-defconfig (attached as .config) compiler: gcc-7 (Debian 7.2.0-12) 7.2.1 20171025 reproduce: # save the attached .config to linux build tree make ARCH=i386 All warnings (new ones prefixed by >>): In file included from include/linux/printk.h:7:0, from include/linux/kernel.h:14, from include/linux/list.h:9, from include/linux/kobject.h:20, from include/linux/of.h:21, from lib/logic_pio.c:19: lib/logic_pio.c: In function 'logic_pio_trans_hwaddr': include/linux/kern_levels.h:5:18: warning: format '%llx' expects argument of type 'long long unsigned int', but argument 2 has type 'resource_size_t {aka unsigned int}' [-Wformat=] #define KERN_SOH "\001" /* ASCII Start Of Header */ ^ include/linux/kern_levels.h:11:18: note: in expansion of macro 'KERN_SOH' #define KERN_ERR KERN_SOH "3" /* error conditions */ ^~~~~~~~ include/linux/printk.h:301:9: note: in expansion of macro 'KERN_ERR' printk(KERN_ERR pr_fmt(fmt), ##__VA_ARGS__) ^~~~~~~~ >> lib/logic_pio.c:175:3: note: in expansion of macro 'pr_err' pr_err("resource size 0x%llx cannot fit in IO range size 0x%llx\n", ^~~~~~ lib/logic_pio.c:175:30: note: format string is defined here pr_err("resource size 0x%llx cannot fit in IO range size 0x%llx\n", ~~~^ %x In file included from include/linux/printk.h:7:0, from include/linux/kernel.h:14, from include/linux/list.h:9, from include/linux/kobject.h:20, from include/linux/of.h:21, from lib/logic_pio.c:19: include/linux/kern_levels.h:5:18: warning: format '%llx' expects argument of type 'long long unsigned int', but argument 3 has type 'resource_size_t {aka unsigned int}' [-Wformat=] #define KERN_SOH "\001" /* ASCII Start Of Header */ ^ include/linux/kern_levels.h:11:18: note: in expansion of macro 'KERN_SOH' #define KERN_ERR KERN_SOH "3" /* error conditions */ ^~~~~~~~ include/linux/printk.h:301:9: note: in expansion of macro 'KERN_ERR' printk(KERN_ERR pr_fmt(fmt), ##__VA_ARGS__) ^~~~~~~~ >> lib/logic_pio.c:175:3: note: in expansion of macro 'pr_err' pr_err("resource size 0x%llx cannot fit in IO range size 0x%llx\n", ^~~~~~ lib/logic_pio.c:175:65: note: format string is defined here pr_err("resource size 0x%llx cannot fit in IO range size 0x%llx\n", ~~~^ %x vim +/pr_err +175 lib/logic_pio.c 157 158 /* 159 * This function is generic for translating a hardware address to logical PIO. 160 * @hw_addr: the hardware address of host, can be CPU address or host-local 161 * address; 162 */ 163 unsigned long 164 logic_pio_trans_hwaddr(struct fwnode_handle *fwnode, resource_size_t addr, 165 resource_size_t size) 166 { 167 struct logic_pio_hwaddr *range; 168 169 range = find_io_range_by_fwnode(fwnode); 170 if (!range || range->flags == PIO_CPU_MMIO) { 171 pr_err("range not found or invalid\n"); 172 return -1; 173 } 174 if (range->size < size) { > 175 pr_err("resource size 0x%llx cannot fit in IO range size 0x%llx\n", 176 size, range->size); 177 return -1; 178 } 179 return addr - range->hw_start + range->io_start; 180 } 181 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --bg08WKrSYDhXBjb5 Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICAiMZFoAAy5jb25maWcAlFxbc9w2sn7Pr5hyzsPuQ2LrYq1Tp/QAguAMMiRBA+BIoxeW Io8T1cqSVxptkn+/3QA5BMDmONlKbTLoBohLo/vrC/T9d98v2Ov+6cvt/v7u9uHhz8Wvu8fd 8+1+92nx+f5h9/+LXC1qZRcil/ZHYC7vH1//eHt/9uFicf7jyfsf3/3wfPdhsd49P+4eFvzp 8fP9r6/Q/f7p8bvvgZ2rupDL7uI8k3Zx/7J4fNovXnb77/r26w8X3dnp5Z/B7/GHrI3VLbdS 1V0uuMqFHomqtU1ru0LpitnLN7uHz2enP+C03gwcTPMV9Cv8z8s3t893v73948PF2zs3yxe3 iO7T7rP/fehXKr7ORdOZtmmUtuMnjWV8bTXjYkqrqnb84b5cVazpdJ13sHLTVbK+/HCMzq4v Ty5oBq6qhtlvjhOxRcPVQuSdWXZ5xbpS1Eu7Gue6FLXQknfSMKRPCVm7nDauroRcrmy6ZLbt VmwjuoZ3Rc5Hqr4youqu+WrJ8rxj5VJpaVfVdFzOSplpZgUcXMm2yfgrZjretJ0G2jVFY3wl ulLWcEDyRowcblJG2LbpGqHdGEyLYLFuhwaSqDL4VUhtbMdXbb2e4WvYUtBsfkYyE7pmTnwb ZYzMSpGwmNY0Ao5uhnzFatutWvhKU8EBrmDOFIfbPFY6Tltmk284UTWdaqysYFtyuFiwR7Je znHmAg7dLY+VcBui6wnXtTNVM2kr2c22W5q5IdtGq0wE5EJed4Lpcgu/u0oEstAsLYO9AEnd iNJcng7th6sMJ2zgyr99uP/l7ZenT68Pu5e3/9fWrBIoGYIZ8fbH5E5L/bG7Ujo4oqyVZQ4b Ijpx7b9nogttVyAguFWFgv/rLDPY2em0pdOQD6jHXr9Cy0FdSduJegMrxylW0l6eHSbPNRyx u6ISjvnNm1E19m2dFYbSkLD/rNwIbUCMon4hoWOtVURnJ/drkEJRdssb2SQ3oqdkQDmlSeVN qBJCyvXNXA81RzgfCfGcDmsKJxQuJ2XAaR2jX98c762Ok8+JrQTpY20J11EZi6J2+eYfj0+P u38eRMxcsWB/zdZsZMMnDfhvbstA2pWBm1B9bEUr6NZJFy9LcGeU3nbMglUK9HlrBKjQ4Bq2 YLiTE3FX0xFwaLjjCTvdCsrGhl/yjVYLMVwMuGWLl9dfXv582e++jBfjYGLgEjo1QFgfIJmV uqIpoigEwACceVGAlTHrKR/qUVBpyE8PUsmldso4ABjQnKuKSbINFDioVdiq7XTAykj6Sz1h Mmw0E2Y1nK7TrcwqTXNpYYTeePNRAfYJ70kwSaerCXlFFgBHHNS9V2WRvjcN00b0SzgMG37e jVsYYmSOAMmoFsb2IpGr1JKELDmzgQoJKRsw9jna+pKhCd3ykpAMp6I3E4k8AAYcDwxFbc1R YpdpxXIOHzrOBviqY/nPLclXKTRkOOVB4u39l93zCyX0VvJ1p2oBUh0MVatudYMqv3JyeNh5 aARUIVUuObHjvpfMw/1xbcG9BjiGIuP2S5thfgBT3trbl38v9jDRxe3jp8XL/nb/sri9u3t6 fdzfP/6azNhBI85VW1svMJHMucMYycRUM5PjHecCNBQw2nCElNZtzogR0NIC0g7PE5s8IBzG DAnXRJtU8SoG6YPVSaPKQQ+4PdK8XRjiAEGxdUALVwA/AS7ASVGW2njmsLtJ+ru14ShEdxwb 1l2Wo3gEFA/hxZJnDvyEu4pABlB/fcpJqybX/j9IbIHdC9C8srCXJx/Cdtwq8CJC+gHMNFrW dt0ZVoh0jLPI0LTgwXlsBcA89xeNQrAZqhFgaGt0ZgDDdkXZmsDW8KVWbWPCdYP940tyxVm5 7jtQ2ssR/IQCNMqk7mLKCNAK0B6szq9kblfkB7UN+5Is/WcbmZtjdJ3HwCamFiBTN84JTvv1 0J/q2gAiCC8T3kCcR08hBsvFRnJxbJrQFS/d0ZUKXRyjT+zWgcEovj5wgfGgFCIAMDBhPHQo WtDedfAbwVYdSQwsV0MTMR5uR9i3Fjbp6wUYYfZEsEaerSnQeWq0ALseC8IgKbFXi5IKu+1c Bx2Io/vNKhjNm0oE/sMIeYLkoSEB8NAS43ZoCOG6o6vkdwDOOT/4iggh3FFimKXmEQhJ2dDl ptRigl5ZDYBG1oBogg332kLmJ0H4x3cEfctF41CQC70kfRpumjVMEVQ6zjHY2qYIJzurtZOP VoDxJQpKMA+4Wog5uwkI8Qc+NoeSgFPvKcRXixUolHIC+A/GO1K06e+urmToyAYGTpQFmI8w TDC/QeAnd0UbrqdorbhOfsLdCIZvVLR+uaxZWQSC6xYQNjhYFTaYVeTsMxkIIss30ohh24J9 gC4Z01omum8l+LpRsCWIfABIU+K3xpG2VXSZh7YuORyCIQO0ANuAdwCU3pHx/X7i/UZHJTLQ TUFJQqSWnG9Z0KbDhaNyUp34KwDduwMEPnRr+Mm7yJF1YKcP1Da7589Pz19uH+92C/Hf3SNA QgbgkCMoBEA7oqCZwfsIERJh+t2mcs4MMcNN5Xt3DoxFwm3KNvMDRYfaRzH1mtaxJaOsHI4V jswykBm9FIPbHl1OpKIpRSTVabiIqpr91si4YjoHR4A6BrcSHxHUVrJYQ1hROTPWbQDgF5In PiiY40KWEUp1es7JdbBbXDOzSu72WlwLPrQdpq38kNRlcPIy0MdxhhZULP4KB99IA3c/t1UD HlsmYo0HiB1cpLXYgkIELTQTzQKDkY43RgZHbwin6VIGcENBx6Dl5eg2zC1JFLCxEsWsreMe CdpEYUXADG4BuCNRxGatxWRubnAJ+4uwFIhpIGWyOb51biRi9eEw4C52BWXkIn0/RnAc60qp dULEMD/8tnLZqpZwiw0cIDqTfWAg2SIMpIOlsLLYDuhjygDAsQ9AEXAeMNAWEBo6785suiRO MkctlqBd69wnVfrD6liTLpSX1OqA76A5QtrqChSHYN4oJLRKXoNUjGTj5pBCEISIcHytrsHD hj2Q4V1I1S1xMKgl0MtxCNcKbnv8RA1CfH/QqLrfl7yt0qCt2+boEkb7Cr6id7kKH5iLT84L k/fceNVgRiYdvr8+/tRcEiA9Et/PB6BnaLlqZ9IZCMt98GkIahPLM4KjHehAKdkIis20u55L AKRN2S5ljNyD5jn1ARxuu/GGuyNLYG5MpJyslAeEp07BcsIBp9+WTNM+0oQbjkORARe7wogV bBqgjlSa/K5Lx+LlqdDoOaUKbhrZmVE3NcYNRZ+UIkSjUnl/gI3gaOwCCKfytgQdhxoYUaoO RfegVxzFWeRp/m6aNU0YxDXGoymdFvf6EB++arZDtseWUzs0zI12/TFtmrVOc9Gh0hoMDuz8 FeiFYL6qzBE99/m/swmB8R4ljCIB8KJWgaUrCjqSME56g6t2504yOh7lXCtWDskPfXX9t5gH gEUsfjQWFqyODToFF3qelHb3AkR2p0iH7hrThm0dQcChzfk/E4y85Grzwy+3L7tPi397uPz1 +enz/YOPlgaKRW36mR9bvWMbAFbkPnqt1Rtlb7RXAq9X4JrD4tALC++sczQMIu7Ld8ntiuJj flNcDgB0NaOAa8/T1khP72rf9UAMR+51Ny2BfXej+SE9OeP6DJySjgT1ZFT5OkF/Y0hVywrm CGol79boiM0u0/iYbAmAqQ2MahYHJcssZ0VIBQDDjQSR+diKMCswxG4yE/kvQXMpM3LKY9TH iqWWdnuU60bVMzFFF+esclfv4EwqbUyQ7Sqjbqj/BHpyhUnXgPupGja9Hc3t8/4e63sW9s+v u9BVROfHBWrAj8dgUSQ0DNyUeuShlYy8pjkG5WiKkR5c9QoUZkQYR7RMy6NjVoxTY1YmV4Yi YBIjl2adgK9K1jB502ZEF0w4aGlcpQRBbqEnmAcRDTum+fPq6PzNUtJLB6Wsv7Gfpq2pCa2Z rhhFEMXMtzC5ffHhG6cbiOrsjFDyqo9dwxFX+5yyWpi733ZY5RHGJaTyEdlaqeAuD605GHP8 1pTCiyjjOWT1hw5HEv8zPXECR3r13718c/f5P4cYLqxwfqYBcb3N4ojXQMiKj5TJMfVJsOLa F0I1AP5QhwP6izLWPd3hHk8/RiP7XoHyEnOdQ2LcO64MYlahq6irIPnvbJ6fOqgTdVWHYN8X k80Q3ddmaIcIgCuryB2bS0ePLPOUtLO+ortO2sekjVefz093u5eXp+fFHtSnS8l+3t3uX59D VYo6P67Gm5RcFYKBlyp8KiQhYTp9oGMgJqFXjbMWoWBhcwZ4tKIzG0uApYWMIfABStlG9RI8 yilYNoBz+VzJp7i2AHuxlG4MS0dzoT4YMfgvVJK2jCPHx5bNRBJHnrKZwRbIwqpxlkRmbLyY RVdlMrmsru1Iqgs/oHN+dnpCo+6+tg4zJoDj6xyciJkdPVynviyoYLJs9eSMYTAJpoiyBU6x wFW03knsXJAkVj+rbSP0RhrwR5ctHeADFyVTyvoY/wjkzj9c0Ajv/RGCNXRGG2lVdU0Z8wtX PzxygndlZVtJSQ90IB+n0+HhgXpOU9czC1v/a6b9A93OdWsUnY2tnDcoZuxtdSVrvpINn5lI Tz6jr1AlSjYz7lKoXCyvT45Qu5IW6IpvAZTM7vdGMn7W0aV/jjizdxgCn+mF5mXmzvSuV6wc ndBjdrKvJvZ1DRchS3mS0KIr1oCvB9q3JvXEqHQwyIehh/jraGDcAC63ZdoqJsONiBv6eNvF edqsNonOB3xatZULIxQAmMvt5fuQ7nQUt2VlAoOJzKBY/IynzaAap40cLgVriUFc+KgSlkUF /6tG2DTl4NpE1ZZYG6ZtsOQ8jLfWrgo7COd4FWaqsGTfNVV82oK5VBXqCnAxRdVYF7mjSgR6 8kaVLazQBb7TvjMH7gKlGCFKRU0RjVpohQlHzKhnWq1F7RQqIqjUjPOJeocmrMcpxZLx7cxs gCc90KHZH2hs/mofbapmxRk7YvjMrMBmExOCj/0s+Nze2JUAZ6PsNkPc1YOkID355enxfv/0 HJWqhTH4/jrVSdp7wqFZUx6jc0xhRTsa8jgYoK5mXGx3ym7Tu001Y9FSQtD15CILa3QdQjJN Ia/dTRlDHQoUTkYXPssP65nBtUD5gcF8/dSgFyXXivuy0rQpFY+REN34sRmDlk5vFlHuyglA qE+campaGYlJrbB2EQADFZ33lPMowtI3XpxT4XD3JkMVBVY2vfuDv/P/S8YjooTQ2oHO1tsm fdRSgBryVEY84HBIep4sSsGHTJmr4g22VZYoMuUAtLActhVjSO9o32FSFatbFidiDzPyNKr4 xHeOR+uczfP9wjr2w3A+w5sG/EWVxM+i5n5QluawhqDnMgzE+fda0nBAueHAcWS7R5f+YQYO T2HZpgQY21g3BWcjzg/WCMsLeBLrCSrDx8u/2sKtz3Pd2dnXa5lq61DgN1KDMVOYEAhGr9ow lTjWmBhK4oe4gctY+GLkXF+ev/spfhv2F+B+TJmJnU4zOvPRf5/atavGPXWgQzylAIOB2Igk F1rBELOdZ9503DRK0eHjm6ylweuNmS1IGUTPvT0acvtzsQk4DaF1nA11xXmRn4epdEfBhPw6 qYsOrYmDQljaTDvZAJIy0EGrKnFZA+XV2ES/OpwIrrvCx0Vat00s2s6vhxsDh8yqQSRGRt89 BSD47gDj5FeXF+cRkl71qGwmkmp1JOD4uzMMdkveCCpr6uOhqb4FCGy6BsOiTpDSVJ7PDsZT NtERBhi7CgslRRG55xjMNLYlq4l8mjnSPTfdybt3dMLtpjt9P0s6i3tFw70L1OLN5UlgqDxK XWmsyQ8Cs1jvEyBrVxLUlwiMesUVBWGBAGUeQatJRKMghhot5ElsILVwb1JiU3ZIyLrUU7zR ri7d9QrLFoevuGIC+MppbIVBHsvWeQZR1uEgpwEDva8+afFNtr6WbJMb+sHXEJHOEgUzCLDK sQimzO209NPJorf5w7Xqp3PAsE+/754XgGFvf9192T3uXaiP8UYunr5i+iQI9/Vp4MDq9u9C x9jhQQf4N6XonZYlJpbNlBjXl6HlzoOw/VhKjKRSiCZmxpY+3DjqrsqVPjsardwqMA9r4UKf lNhV0TcmRX84fp8zOhItAy6MZg67Q36nn39SHIQ947qqoSX2L6HVFxwdvnn10cP+IPF+JOPN w/ol/DV4Be5GmUnu0Rcn4EvqPm2PXZrw5bRr6asI/UScm2KCF+hBim0oi1qS+taP1Z943Asf BRRm6uGEPFpsOrUBeyhzEb5YjkcC3TP/dMxxsHR5GbOAf7dpa2ttlOXDxg18WyVtBUu58viZ CTa5uIcWcJpRTeCwdmEwqHlwAWly/AArJibtMyouGZAtlxrkg64pcry9ezwZg7fGKrhIhgyx H7waP4ZTUm0DIDdP55/SCFmiAaFbCEdxUnOuPV6xOLDjpw4YkMl60j5smVR9UCT+mMlo1OT7 zmTIw72qhF2pI2zZUtMPWnrhz1vUTljf55K1qi6pCMt4jVkjJlWbQ3tfOBh/Agm0tWtscST4 4K/dNXg7c2pT4ksNkLTZvHt/LvDfM0VFpqCnxprIiRneHC6K591/XnePd38uXu5uH6LYzXAT 4wihu5tLtcH3zLrz75Io8vTp5IGMl5c28wPH4FzhQMGjlr/RCQ/BwFESJ092wCive6hEzjjk VHUOnkg983qM6gG0/oXw5m8swSHL1koK8EQ7PffqJ+L5K/uR7gNFH1Y/+6W/vtjZRR6E83Mq nItPz/f/jcoLRh+imYQFnW7jHL+IH5zRfoPViUU9pcC/s8nYuKm1uupmMkgxD50RiXnozNKQ 3fSXR9QG8OFmrhrJ5UuuHfSqZrSo88Qa8AcArPg8gJY1DbxjVsnn87wjl6loFeSWeu7flh6b 2rDjtStro7NFPlpfL3VLK8qBvoLrNMsgxmuhJ/L38tvt8+5T4ALMrDapHTvIrvz0sIt1aY9K oovgQhJ4EUqW5ySii7gqUccwBfEDenZm5OOqbcoZM+tvCrJN5py9vgyLXfwDAMNit7/78Z9B JJ9HhhAhxVJhOIM2ZY5cVf7nEZZcajrn4MmsDtAmNuEX4xY/Qtw2fDjhdH+IIe4uEJv7MOAY DOgBDvZBFnp2gsVhQmwCUK3pVHjfYT7H4hhMU6VDYtvs344IGCavpw40UvfPsKG38peYaaMc bkVTicn25M387nSNpeKs7jiNTM535o93IO1jK/XapLJ6xFnls+ElJKG2KoX7k0C9REU9pdrM jtpoWhE6GjOSdIzxk8lzkVEc56TUxU8+kh8L2WRGF0iEPC7w8S0mjgriW0xmFZ+2UzP57uX+ 18cr0K0LHIM/wX+Y169fn573oY710nLlCnomY2DH355e9ou7p8f989PDw+45AAYHFvH46evT /WM6bifq3GVyyHFffr/f3/1GjxyLzBX8Iy1fWUFFr/u/0tY/lBoVsKFD54Zj6I0kqXLm0rBS 0rUbtbDv37+jqz6WQpH+PsCLOgsvEiZ3wt8Vlyz97arVOy7D14/QzavTfkt/uLt9/rT45fn+ 069h4dwWqw/Gbu5np07TFi25WqWNVqYtohadbcPizJ7TJ2KjS5tf/Ov0p5nU7Om7n07JS+lS XbWqD7m1QycNJ5zLI+hpa4opQhB/7O5e97e/POzcH29cuCT6/mXxdiG+vD7cJmHHTNZFZfHN TRAkL4s4kY6/XIz54EXgG52VYHn0mLcfy3Atm8mfm1Jt/BdLPC82U0k1T61kWOuCs4jfwvWx 3bP0D5f15aRSRTmBOnQo8a87SAB5/nmo27h6t//96fnf6AtMorPgtqzjv5PhW/5H2bU1uY3j 6r/iysPWTNVOjS9tt32qzoNMUTZj3VqUb3lRdXp6Jl3T6Uylnd2z//4QpC4kBUizD7mYgCiS IkEQBD4oFSHAdk/w57a54XePt7uDi7GFc4nsUH34pVETvaIap6CbGFAoj9sKPDIZocgDj7nx xDdjUwlMSKnmJK6HwQgeOGb/EM5Ii9wAKri4S6q0tfZqZxfXxxnC+7YQ18H7l2VevTkEsWrT qlO78aAxHIENdtnSlGq+zey7DEXJ09z/XYV71i/UFxW90iIoHLuqnmW5wO3lhriDpcWTI+bK aDhA/KSO04Dque6CN2SJ3ed2VPChy0Uik+o0c7tgCq3lJK+pWmXZQbhxRdCwY9i0jOxdlB2H aF3f8BkG86gKiJg7oHGJj6wwAwfigabrOd7vgM3SDjzyJDhj1JfnGWE09JnpwfI4t5wP1EiI nJLloEju0MiblrgVmErRktlx6+5BLeXMZXnOiLN1y7VX/xvhkOMs122M6zIty4nvAiIWrGFJ ce25pcNlHiyQYa54pK0nTpg3Wo4rJ6ZwyyHiWKSZGOlPyEYHjoXE/tJ+/S1mB2ijW/yP3xAK r5Meuan+fz88/fj88vTBnlVJuJT2YVnkp5Urtk6regMAD0ocLkozGZwh2I+qEA1khMWxUvLC epkuUVLCX8K6EFzE/JhIj2tIhkCbEpHj9jlNFcQsNnUT8sfjGhRQK0wU+d33BRBNB7HTH6mO rj9TDffUcwBxu34qsVBoTZKe50xdVq3QuAZNTsEjTDt6ldec954eGkSgU9tQQxytYGBH9Rj1 ENF0yXerKj6PvU+z7ZMAxYHkpXeIVyUAawweK+A15Oq4eanWZhxIKaKrt4Prh/L9Vd/QKS0r yXE4R8XaYi3Yz5vCdrvpmyrhAK6UanUKuanDro8L36uoU8d7JOi0cDG4PRJgEFpkQMBKU+2L 5ZRqVENzffTV6owhqKpCfsJGwKoOGWabai7RCWJkq4wORRSO4HVoqlnatwvFrnCbJrz6S2vk kE/XjN0uPvIKNR2qStKgVGPl/NZ2YVfBqAkBXOCgaH2GDiPgVwZ998ugJ197tZfqcVyhNHR1 PuzZfG0eUiHuhuTSHiX0HL7og/T75Onb188vb8+/TWqscWz+XtSBFSbGV/fR2+P3P55v1BNl UOx4qb8htn57jDDNv6IM5jshX7l7OAUQO8wlDGWOzJIarBEb8QH2v9VFpTYksvcFvj7enr4M DHwJcNZhWOgdAh8hw4QJhj6XOT0PsvQuBdVxRlKKe16dZE9Civx//oaAjEDRKgK9N9xR8sOQ 7MkOEJr6GHTCg9OgXojr8eiuSITz7FevTL/LLiw4XDz0m6cXt88MhUkgH44c3E0aur+S83x4 pe8Xcww3WA2zYhA5Yg9Q5T5ikCltZ/JH567HEB3h5/B3ffAZlAjcxf7EgGEKzsgM+Nfqv50D K3oOrMg5gKup3RzAwlKcT7vq7aO60Or7ihr7lRkVWDPwjLEb9hj6X2c1+HlW1FivkMG2P0XI iHMUrF9GzLuCwOxVeiFhQi/xC5F4TrxhW4hwRwL26YO/DDx5DEVoZac4SKv1dD7Db25CzlJC UsUxw+/FRU6gApVBTERXz5f4K4IcB0XJ9xnVrFWcnXMiGFVwzqGvS1SQwbZT+5DrJffw4/nH 88vbH7/WkBIeok/NX7EtPnQNfV/ifWjpERG53DBA7OEggz51DDeiIC7jG7p3P4DQh+sv+QNt 3dMMW/zE3o0ibTwG+m6sB6H0IyF6LOpfjq+1tpIC95prR/ph9GOwfXbAD3YNx8PIWEKU3PBg Rg9/i2l42u2HP0guhntRH8KG64iJ++52vPve0WaJvT6+v7/8/vLUPwOqQ2rPwqyKINpA0OsI OEom0pCT15WaRx/LCTWoZonw/aIhHxe4VGzfIE+0lb9hIDbhpgVKxA0y9PHs+8OV05+/eQfh Qtqw6I0aR6zWNvfEzQDTlRmYOch35NRZExlhR7NY0u2VMJ5YTEMfomaBAPMxnpJfiEOLHoTA zVqhLyIg9gtOBXQTgQVg+wYZElEMCT1gkUGSE4bphkXkw29JCT/YtieQy2+4EWLgi2mGw3a0 EiaPtGgGhhOFMNEwDM3ouhWUx187VtHwWBpzHHGZ2cpdETlQASHD3HrCFMAGZQZJuZzrbqUO BhoUDW1JlvP0ZHw+cHXOKPKkWNZWHPJ6WU0mWqCnBMDOXg7smbqlnq3M4YgXcECC4/IQV8ok ZiYu7CD1ItKJYhyoAjcJSJ0mQls7qW3c4jHWUMzWDNQCsp3Ia+WC3G8fXHurlqN1fjfXe2By e36/ISplfih3nJ7pJcs1/jPJEBZZXiVZKvBAkX2QqKOoBrOoAfqe/ny+TYrH316+AXLl7dvT t1fH0SigtHNGLMgtERmhzlqXgjoERdWBEcDqZcGDBMEsrOlw/18cnZPkWUBqP9tCzKIdKP4z R1bHukiHiSVebHjXyfpBmJ48ziCb4zkoIB8imu2q4QYASNUInfRAxzzuwm2/NRrBpYEzBRYN iY7wNRdo3nzuyGT6rYaFFWGAhYG1DGdvn+sOYWKrOZDak4A1o+qVGDBVhhAKBpHq8FHjYWq1 dxqKspz22N5ss7Yh8oPvbFxXP3x9eXu/fX9+rb7cPiDvTjgKa9bSYx5KtNHIF0Jrl01kOBUY 7taonbGHGqQ0LQ1HrLMz6TSn066us1ClmFiNDsIWauZ30zm3UKT5sacBbYiY/UAQWX54vved 2C3TE+GvO6L8UJs5dqvWbMqQWQ7iyLtu7gBeicf9M4eSB7CZooN/1Qu75mgkbfj8r5en50no Oonq9KAvT3XxJPP9yY4mIcaex7lt83KKK+239OHX988vb79++Xb76/VHl8xUtaJMcvumqSlR u8TRhg82oHFxZrsw5oV5USSKREey6QRiHT06a/9Lu2ktq0hr2WY5DF7U3G45nAylbU0G0b7u WVQHLiPDDJgNZw16a/n7WYYrWB5hIU7oplGT+alw/ZVMuQ4cNs8quZxkhCe6ZgvkNWUNM701 y6u0EPFQljZzYH6ssQMxiW5zQZg1kSMTyKdjDLl+tyIWpbD3R7XXOA6P5ncl5g56VmCSCIeQ sS1ytVQgatQyExfdO79DIMdver5bU1n9kzbATe30yhiSMCYpcT09i7B54IVFm5QB/j5XFyHP O5582o2vlqxaGHdexJZu1DG7Qdw1CrOjz9fAzOlRCcstYf9smCJM2WRKo0uwKsE/XcpQjZbI F/MLbthomMOAbVa4c3fDckwI61jDwNR6M3fiSDMbptjB2LVLNUKNQVdfI5UDmlIWewC5/X4U WxrfWg/0CF1e8AC3hl4E+CDozwDaOQtPRGAweI+DFOBE5r/2FSNNLKT7Mc2x4ZRwLEqh7TfQ 0b1QEaqoHwWRvLw/WYu0k1Q8VRJKQt7sRXyazonOhsv58lKFeYZrjUoeJ1eIj0GpYpsowYkP dL4P0pJKsrSDaBeGG+hKESV6L8BfyeRmMZd3REyCEmZxJgEDFyJHfdnbHXaVlIzxk2OQh3Kj tK6AclKV8XwznS4GiHN8gTZfpFRMSwI8puHZ7mf398MsuqGbKS4v9glbLZa45SyUs9UaJ+Vg 7d0fcQ3uKLe1JaCKZLC5WxPto5aeHTDTy3zeLdC5L+BNlANXm0wyee+vHENRy3aOz6ea3sdH 9DmUFr1a3+OH5Jpls2AX3KhbM4iwrNabfc4l/l3Y9n427c1uk1b4+f8e3ycCDi4/vursbHXc 6O3749s79Hry+vL2PPlNLfiXv+C/1HIHDQCf23DjGoCGmFM+iBphmcAkaKkVIaM6hvKCc5yM TnlK3KAvczf+dnt+nSSCTf4xUWe3x5vqe/e9PRZQTYyy3dAkU8eSfvFJ7UT90q6iPUR/UUQG AUfIa0j+b3+1UN/ypnowSTosoJ9YJpOf/ZMDtK+trptObE8Yti6xRmQiiUF0bNTYLCfyzio2 75jWiA2dGsjLOx725ypkx6g3HesTNVMRUmckmeMuVgQi1DAPOAy1HZSpHzc46N3shrLa7okL Hf3OFvWAeIlRVKNWGdTdqNtvoNl/Uqvrz39Obo9/Pf9zwsJf1Jq2Apdb5cPFLNgXppQQaDU5 kyh4dltn0Ve3ZAH+5qGtarcv26FNYJhdQ3ed6YgzT0PXlDjb7Sg7hWaQDEzZcEDCJ0LZCKh3 bxJIQDiBj957Z8T6s8HlEPrvESYJeDfjLGqySyJ8wPAU+Vg16pAag+lwnKMOaKQZQ1yt1LRM hhprUFAAQaWzLkBXNaGEFE58nYQSAp8qXhQOaJEi1QefrhFQ+CnPQjTlJRBzfUCvHX6byNb3 yb9fbl8U/9svMoomb483JdAmL5BX9PfHJwu8QFcR7Fn/pVDYgu7jAwRsanDYbDXHd1dTkQ6w hOpoHiniOeY8omlR1MoH1Zcnv5NPP95v375OdNJuq4OdmhOquR0SuJb67Q+yJGwHpnEXqmnb xMhF0zhIk422ULN1Y66/mnDjE/WLwjOuJmhigl/jaBoRamPmhxKZgtifmrEfIhJrUBNP+H25 Jh7jge99otajISplVPY3uXx0gC2zBEy8GLvcMiQXZNuUFSVxSDbkUn2yQXq+Xt3j60AzsCRc 3Q3R5XJJnFRa+mKMjmvLHR1Xlg39Sif40gxqK8dXiabu83KxGqge6EPDA/TLHL/66hjwY56m i3I9n43RBxrwUWNpDzQgCQq1neCLRTMohYgNM4j0Y0D4TxgGub6/my2paZvFoS84THleCkrC aQYlA+fT+dDwg5RU1dMMcL0prwPTowiJCwUtKthsjoKw1tR9r08aALeAGJmBdyrZtSKOvfmQ +NLEISh3w1CIKCY8m/IhMaaJZ5Fus7QflpOL7Jdvb6//8UVZT35pgTGtPDwOZ0ais8FMooFR gekyMBNodcl850+AV9vrVnPj8vvj6+vnx6c/J79OXp//eHz6D4qy0eg6xMbaZQVxHyGTKtiY +I227uDkh9qqb9IBOzbxsAL4WUKyKSqclPCxrIlECpaaOPjo3ZJICxN2gfMUgz5XEVkLe+jf 3siESZOAuz9qoWMUV5z4Kc7moAF4FFEboCmiTINc7ilbZ2IS6yoN5iQghSV1KIK3kHjnisgL LCIKuiZqDdzmBtf6FiqPqhK+Hl7nJ15k/ggOfks9gHGAf0pFNHeSFDWKA89vyqZCuntiksDo 0w5P9Tjo/HG4CA2TkdyZbWQVYTmOjtILYTXGG875ZLbY3E1+il6+P5/Vn58xM2MkCg4OKXjd NVEdxiQqLsATAOR/bZqxUwUEDBDWk0zNgW1pLRATnQgmbItZCIehqnFbuqWodgBy2oItHzde PhyV8vppwFGUuLwXA/7mJSfswKrHpBfg6UJmoAqYROGRQAtSR+DMxulNdYI6z4cLSjQSbaH+ 416ElgT2nyqvTnqci0zKinBTOFE3RWmcUOirhR+QYeYauFZ09l4PiSp8eb99f/n8Awyj0oBL Bd+fvrzcnp8gl2Af0ZIDlHDqw+AYk1K1YJmHEKdxmBZseY8b0juGNQ56dMqKklBfymu+z9AL R6tFQRjkJXdhgE2Rhq6PvNWHVLDj7nLg5Wwxo5BWmofigIHYcXVCGQuWSSJ2tHu05F7uWcZT MWh8L+VYJ5Lgk1spT4P2U4496+bfTcL1bDYjbzJzmITU+cB87TRh1IoEoK/LjnCUaIh1lnZG rNy24UoCpaUNC2YTbQ80uxzGJHOMi0EZ491RBFxxAgLRBUWhPiUdftC07ah2ejQwGqRJEHIP YleJN8wgb9W4LbIg9Nbs9g4zFW3Ti5NDinlTslmTYpelVhp687vanz2wZaiO8EpISaf6rtHM QxnfptSw1M+w4CTsJHg2ac9j6aZwq4uqEv+8LRk/qbdkXOR15BPms2K3TEiWuYuWkAPsopYD 4a0fjq7wkHtroTzGwnOZms+mhOFHM+Nv5ncX3JhTnyur9R2RlyPZzKb4olNvW85XxIHWyJeL KBiarNHus49oEMZz4hromIYEkKhVHyS04c45dsvnoyPPP0HmTHRa8kvgqBNyTrilny5oxKdV VXT8KEp5RDbmKDl9nK1HNrO9m8Amn6FGEPuBY3DmLhiowMWF9ZCXK47P7Kw23E1yo39y/7eS Mu5NlNjhmqQqPxEgQRfqEXJT0hSqursp8ZAiEM9EyWyK+TTaQ7WeLy/OXPuYjEyB2u7n7A6n hAKGTEA/hasBfEEc0AknD1dnh4DfJDKw3TTVriDNnP4k8eWuIkIdNI08kSnqcpAqz4NkN4QP aa1ghQvndpDr9R0uq4C0nKlqcXvqQX5Sj14I65j90mvhLCf4PZsSOdYiHsTpyJJOA6Uyuqkj 6iJcB5HrxXo+surVf4sszVxY5TQioEKap9aLzRQRTMGFkp3zQx/rWz+S+6cfpIknEdr6oEZw D3m5RyVwdvBes68oIQApQSj5VoN88nTnJTffK61ciX+0wisHF+ZIjJxuHuJs55oYH+JgcSEc Ph9iX2uzSMRsUi+78LQin+NUEFTTwmMQg2Oo00ZVADGUeJVFMvodCw4HH2f7Xs8WG4bNNSCU WebzqqIqJ8RfQwfI3qo8C4hBG2RczwjIXmDQWU2Li86Hh/WrWM9WG3QCFjzlMpA4LXRhflfT u5H1WUD4X4FWJoNEaTmO94fUBy3vkIc8ye2sFDZBxIGj8Uu2mU8XWKiQ85Tr1iHkhoCdVqTZ ZqTHMovVCV/9cZadJOxOqhxiCtiYRUEmkiHiRyZsM2MbfCPguWBU2j+obzMjbvU08W5M9MpS 3/s5vSwTbQUc/YDH1JVJeX5NeEBcp6tJQjiCMwiITIntQ2CBSFYjSr4/lo6wNSUjT7lPAOy7 2twDCo3TMzn06zsJxw9G/awKpbgS9jkBPjBxxjzTcb/as/iUupiIpqQ6L6kp0TLgSR+tys1R B5mOQJjnI7YmeU2zXF7dMJczqy7xDgcOjMLQGfSQR8ReIw8RfihU5x0CwV9HBW/9i7lG5VG6 ah36Yt+IiSZJbqcb6TJRbgMUiDDfX2PhpMqJeQi3pJDrDqg9+2kixATKa9dE5CZQ5/Te42bw xghFM5Tr6eJCkrcsuVf7+RB9fT9Ery08JAMTLAjp5ilduRQpTQ8D9UkGqg9zUB3nw/S79TB9 dU/SI3Hh9OgLlsdHSZO1b/HlHFxJllgKsPhOZzNG81xKklYfvEbpSp2nefSZY5CcgR1hmAO0 e5LDZPsM6Jc8DD5eK2QDdK3J0HSlmwz2APZBmljy2ZTwawL7uBIsgtEvr321SPpFxCK9VDsl COYF/I3bnnK8AdKzjtXFEPhgYvKbu7vOwqVILChxLQWIh+BMWd+BnAOu9RG/8QR6UcbrGREr 0tEJ65uiq430fk2IfaCrPymBwAXkPZFEF2gi3+Mayzm2k3PCr+6CJ/GOAqpkjQelO8+Vzt0M JKUeSFNZ7pe4dVBT/BO8Td2Qz20OAHVOaFNFvJkRwTrq0dUBV9CCYrmc41bps4hXc8KVQ9Xo GZ26x1i6WF0wc4I7mIlrFNEFxLvuV2w5vcD3HqkVv53Au6fKB6JxtgVLJHXgBGKE6zt2a3rW +EAURLiXgMhwTPey62sMnt1ulJ/nlEYINCoDjzjHd5sVbmhXtMXmjqSdRYQp2X4zC3Wac04J GYT74OodLxLC2yJf3iExoh25EDJB4ffs5iCGzBjSVZeEL35D1G44EF2Ob5AwEMQ1c3KO15hB 1mkVD0XgiaFETfTpDDv52E8WgX8RUZTzC6oCO4/1LSBabBOOhIZ2j1SqKDopkuxVtZkTrkM1 lfDHrqkEZgpQ7+eLYJBKGNlMJ9Z88L0DVLUpDLwX+otDvANVqeCjX1I6RyP1s9qgfgL2Q9JF XDkTHqb2I+6x9xzP5kv8mhJIxDatSNQOfo598zjShk/XMOjpLJ9C1Xq8KUCazQrMtm5Xq89K PE2dc/hDmYJ0VmqN2hR7CQ/9c28RXIlcQzWDEohU8rEOoeYsBS4oGrWtgHQCuu298yJ/03mz zi+AoPJTPyHUz5PbN8X9PLl9abiQM+WZcmZKwDKO74H1PV9FZReQIQEedeonXxZvf/24keF4 DbSL/dMDgTFlUaRkY+ICLhkKeE4ZQASnWGowp4PBoLAOakBLAnVOvxw8+HHd3OP78/fXx7ff uvAZZzTr58EfjsISMywfsysO32/I/ORhODTFnuJoDWEP28V58sCv28yksmvrbMqUIpsvl2sc k8Bj2iBN7ljKwxZ/w4M62RJapsUznxHwEC1PWIPHFas1rmu0nPHhQEActCwlC1Z3M9yr2GZa 381GxiZO1gtCHXZ4FiM8ao3eL5a4ib9jIuROx5AXSgoO86T8XBL6UcsDQH8go0deVxv1R5jK 7BycCcfdjuuYjn+1ZF6V2ZHtKVfelvNSepX1F6ll4oOfVS7nSFEVxDbKX1e+vYZYMVyWqX/z HCPKaxrkYCcYJFYyMfbGHksdeoS+V0R8m2UHjKZh1zV8gaM7tnQew5ZIeDhbDeRwmhD4Acd6 m/5AAkVG+3/KrqS7bVxZ/xUv7130uyI1UYteUCAlISZIhqAGZ6Pjjt0dn5vEfZz0ed3//lWB gzjgA/0WGYT6iLEAFIAaWtAuEyxcdh20dgpSw/tWQ9JxIcGjQQUI8zyJTfEO0Fao5QZoilYI 8RDmdruOis7dBV0VVJCTJmEudGVyG213Tjec/SzbbikccKonqzdp1zANiSutZdwwc/vUuwEi ++1DCxDZtrA3uIXsd0D96YYogJpXD3EFDl9voKNMklgBe4kWZo6dyA1ui9Iyis/sutn+Ptvi SgUMu27lGV0AN+YcFoUEVrYtSIV7o9AyUXE2zMgKu7JRH7UNgfrIDVbKdD/ZBWcZ0Q836NMh Tg/HCVYJNQnQ9n2sxbAcdZxihUsOYrDxtDEhIHqLYpViRHDqFgGCrnVRMqcz8hRqXwoQfe+G OYTpOQR7aQd2v6UfUyDX9WwNq1ZT4jeRKduFSN1DvJpqUcRx52q0k8hGR3lclIO4m11EGK2D tV2u6cH4Nu+qgBfQLnJ79L0ZsGDt4sRDWeoca2KNsQ6dry444jUZ3Mt1cYdQ5fqAbG+6yDgG loY90D5M2I0m3gZ76IuYz8BtXhdXH+imG0PLYAzePzowmUgaHaDF28HplX5Yr+wzvIvbH9NP 7+i/+3Lne/56GohWzT5oemzNvLmegxk454+xaJ/vIukQ4HnBO7Kkg8DyPaOrlPY84K+sC4uT Xag5TOQ7sFjC6jFCGl+A7lMvt/u1Z38G6q0ycWq8hU4PXcSx25aXmf1o14Wa/xfsuPF90LOc 5pxcXoS0b5I9hohK86D+HpYwL3WZyjMtQdCBUU1liQz8e1AtzFoyPUaE9Gezac6ocNOTUMsk RjtrF1Z6PjDy6cPUDnic78EuwWr5jjbkerWcAQ8AXeCnuFz54ODfxRXZQVVblj0SWHUglX19 ryqVdk4PGERUgK0K0SNrfWk0v8yo8BKd9+trMqHzezvX1tVTYbBwFkQnJhwflgGs4VhktHmX Kbg5rPIpE1qHJkHS+MUtYxABqrn2Itk2rZEu4KX8YJdPmlvEc1woFIK+wjzEIfTxVSGE8mau Uo7mH+co7QJk4tjwyyWZOxlGKk35gCizdTVDKDbUeUQxjXbESgcRHRxcfBMVJ3+1WrLGHx9h J5FrJ7JQciygmVvQw+Pb0/8+vj3fyf9kd0OHXrzE3WRXi7veAcL8vMpgtvCHifT30LFvRRBl 4Is1ePmuILngeyHLClCRE7mtLqAGn6H4cBW1ts0cZDwsWfsKeSWosykEzOOI94h9qGKr00vx 5fHt8TPHCRx5YS7LTrDKU+d+X1S20FV86MSoCukusgHY0ogXSTa9UQ5nK/qWfN1KY29+Ix9T edkE17zsaypW7/0mGQwdnaE6nsx6r3MmFsqwg1qyeBBJGIEbVpVdwur1PkH2M4zgoGMlALDf O+x3sCaC43NDpoOrlZ5mnzJgxyE10Ly8HqIERMi67oEzXuPem+QFq6P7KD6puO+FIz7dD7xI Vy7Hnt9eHr+O7czr8eNHvweRpf3pToTAX86siVRSXrA1ZBwZLzE9Xu3iKu/evenWkHY8vLZ2 dUEjNu5VQoWgVCHthJHBX7coB4cbQFpcj8RumiNnWcgFyedSxTVmYS++jNMqILOFqsKU49kU JehL4w6efTqjISlNCFBEL/pRKXtDoYEuejd7vA63JZR+YDV07IKSXIP2KRmhCvJkH3F1+vr9 F6ZSimFv43rB4gGkzojHJRmcIfqI2inHOLHDhsNcP4CZW5O1ECnQmmwR3krqNVLxrkDEWNu4 iJDefY2qd8MPZbjnxr4DOgVje6zJrApg61GRixzvzUQm1iOWmCqDHQ5twX2ezJXky8MosYaa oE2PdtSor+HWJnLP8v4+WDVHsIHl7I0Qdr1H3ZL3cRbFNsKp5yvhVIS9ehXzzcou4fLbjhTI L3uWPuRjx8y1h67PFmlkvNMBoZP1ljgi2gIJxTcAsDOnc6CPhPK8CRVl3+LPIQj9kYtgPV/9 fd0j87KUDveQSDIlDk1yyPs34vybD4BAFS9M9+IQ890/M5J9Exf0JwcbfJyIJLMGWCGeHwrb F5kkD4N5UKlB+MKiQNKNJ8JO1DiFtusi3svuZs+p5tVYprusn8wXL2GvCiaVNiKo4kF0dbRt Akypw8qwi7V+QYMnX04Kk322vcVt4ya25xx2DD5wMZ6LO8qE0r+wY/Cbvzyb4k+VvfSQH8yW vgLhAho68DNp6CpaA7dtNZldvIB+otOXN+x1qcGtY0VU4OxMRPb+B87NRE3Nqxy4SeChkXq5 3OCOIvoK+ButyRvgSoLJyDViTRs8M5hBNP4AwahqoSwO6nl2/PPj5/O3u984Mk716d2/vhGn fP3n7vnbb89PT89Pd/+pUb+QYPH5y8uf/x7mTqcVuU+NJ3ynx+MhFmiuMyze+zM8crGKT3hk MqyhYoZdhNPVzC+hs35aqjIGTsSIXNltjHo8/pu2m+8kkxHmP9W0fHx6/PMnno6RzFit4Ahu hE1VqxhC1wTeWTOqyLZZuTt++nTNNIh3xrAyzPQ1PuGOKWX6MNQ5MJXOfn6hZtwa1mGp3sYq /vZns+vAPVC/b0sQscMQE7T5VdzFQZJwtJUWwqvoBAQJVhrYEOocHH0P1iiheT9qIv0cG4FU K3iu7z5/falCaIzFeP6QRBUOh3aPN9sOKokkCO3eAQ2FhLYmf7Cf0sefr2/jnabMqZ6vn/87 3nKJdPWWQXA1m3qzddXaqpVZ5B1rUKZxyR5r2RzKCA66DFXO/v86aquPT08vrMxKs8iU9uN/ er3RK4kFdXtLZSrKwn6646ajqH9n+xOcuQq+hieg/WuoyAa/onIMzOShxxCddId5UM4GlDAo tokFh8nbsKTzDmWv/TVQ3+9B7K3vQezLcgPRWyBOH9jbZQHpzffbj/4auZhoMPxYukZS9wBk r21TGwIFGxAaqcEkebAGD8wNhCq9IJnI3XC1nS/s2TRV3ofHfXxNSuFvFjYBaeTozCSQtGB/ Uquo9YJ5kGO95rSKemBbw5uQTSSHHvfHwv5wMELZO7KFResFeJLuQex6tzeI8mZA07WPsUtu fYxdTu1j7I83Pcx8sj4bH50SW0wJnVL3MVNlEWaFrh46mKloXQYz0YdarFcTY3EflDG6bG4g 3mwSswuVtzw4VrpblLGcztUKXc00Fd9CjxktJI9j+8RqIeUldzc+0quJ2Goc22yiByM24dYK XbdVILm8p6OVfU9r+3DtBbOlXTTsYgJ/B4LrtKDlfL0EwlODoVObcvffrtRlfCxD5EG5we2T pRfA68YW48+mMOvVDITVuCHcM+cgDysPHPpuQ7Gc4C0WXyc5XpaBfbtoAB8E2N0aAE2WwvMn GNA4dwf+mVqM2ZLca4HBbCbKKgXtk25uZ4zvTZa18H134w1mus4LH5if9DHuOrOssZoBK9ke yHNvJgazcm+AjNm4OYMDA06tKgYzn6zOajXBZAYzERzSYKbrPPfWEwykRD6f2vxLgdR92iFV 4HrrBlhPAiY4S63dzSWAe5gThcJV3gBTlQT2Uh3AVCWnJrQCPqk6gKlKbpb+fGq8CLOYWDYM xt3e6vLc3SLGLIC432DSUlzZk7OSOC5WAxUlzWd3FzBmPcFPhKHzm7uvGbMB2nq35u2C5Qac cRW8EKm/1odyYvIRYv73FEJM5OG4d21lIhV767l7mGIlvAU43HUwvjeNWZ2R8XFbaaXFYq3e B5qYNBVsO59YMUnAWq4uF5fbgx50gqsNBsS/ajFlqdcTGzhJqquJrTCMhOcHUTB51NPebEIU IMw68CfyoQEMJhhXpqEP1PS6EPha3ULm/uT+BHT5WsBBiYkNtVQ5cmHdg7gZ20DcXUcQFLm6 C5loMvuzE/lxUuQl3CpYuUX0U+n5E0fgUxn4EyfyczBfB577eMKYzXswIFR5D+MeCQNxMzpB knWwBArPfdQKBUe9oWg1OLhPghUo7qOc71DtfOMn13ec1Mv7mde/8agRZnMNO2oHdQI/CxX7 OGXFPM4+2+2q0EBXpX+dDcHNddkgmUP2sCUU++XrWvg29DqW03WfcYTcOGcN5p4CjA24C2VR 6SlZm2z7hPUrrziGku2T+hY6STIxDLc6+g7XygJ0tpMB7PDwCrwednG3RqGc/j9tYL/3RiHU iqoc7Jn8RBL2l5YacglW1/yeb8lV3nLVt2EWOhPXqNQNwM7vBJ0vZhd+oXj71tMp7ObGEFs+ w0qLgw1VY85hKQ5R1nOZ26Thp68WkWbn8CE72p4iWkylNnTdZhk7j+bpEFlL0w96N9a6OD/+ /Pzl6fWPsf+J2yTPdmWbjb2+UViyQYyVWLvFc2bwScqCNbmdoDpyiRsUnd10Pr/OLxPVCcXH I0fUQk0Ko1NlbY8RiVSsmuEErEkkggBzwxfgOuic3cJekVGq3orrTpa58N1NjY9F5myJ3K6p GExVobbP/HO4o9UBfriaz2ax3mJAzAIxpFK7HcRg7fk7Jx0SD7m7w6ronvBzc+j05pCenuCQ rWaOBtN40iaOyyX62l9gOslsmBmN10w6NMw9z1EDAs3X27Wj71g4RLRGUHEBgvXaSd+46Owk /5Orf65xTiesuXt4U7lhN7tw+KRYz7xgSK+1t+Qvvz3+eH66Lari8e2pHwxUyFxMrKXlQJel clykt5OZE8aeeX+lz9+ef758e3796+fd/pUW+++vQ5dS9Y6RFzE/7NP+w9u9ZQ/SbKaeaS23 Rq+40tN//f7y+cedfvn68vn1+9328fN///z6+L0Xplxb3WBshQq72bVwJoyao/76+vPl97++ f2b9AofTZbWLHIE8mIhjSTM51PM1OKTkSorKrxK4mOfvja+SGThsGkC0Wa49dbbrIpoqXHJ/ hi1NTSMKVgUCmiJczShkvobfM3npO4swENxPTAYvLi3ZfnKqycgK0pCTFGethMehLGDlDyXr XWkpcPGVKPfxGBb3RqkIqt0mubhKoKfCNKjf2EqnZjTEoTzjnq7AbGQwihuMcEj9jWEfwvTT VagMRvEhzD1J1SAiNpODIFcBeAm70TFzGPoKuBQwYxhevMUSXLTXgPV6Bc7eLSAAXl9rQLAB ls0tHWgatHRwj3ej2+9gDL1coWtAQ47Tne9twWs3I04yjwuj5AwhtGDb9TuYmIvdkuYg7qEi EnMUNt7QSz0KQjQALGeu/Pn7gTpiHyCW5RJcsTNdx8K9lmu5WK8uExgF/Toy9f4hIE7Eqw2L QXaJfntZzmYTZT9oAY7ATC7lNVTz+fLCZvghcEXEwCSfbxysznpOwB9gXUyiHHwSJgp4yWXL em8G1KOcZvemXAMIQBzwFgAeqhpAgNRdmqZR4x07nSkjANrcLWDjuTdDAtF6CG4my3OymM0d rEAAjsPj5hV2y7qeuzGJmi8dE65UjiX/dAkc23lYyE9ZGjo74ayChWNTIPLcc4stDFnOpiCb jf2WvYj3fKkEbp4K11rBfpiNvqbN9Hn/9vjnFxZiR7qx4b5nCko/+SBvXw6YBjwCGZqy+bSq KatFx+qFkkY+wDmxilIGC9DSPocNjTV3MRkZNDAt3u2kiK3Bjyp5ZF92LMJP+5BYaTtK4N2S pKyj/tVbdc6PRKwCtcdFlllKiIpObFb6wd5u5DXqe1Tm9Ii68XhxWvkYmNGoBPpYXQBtPcmO FXTtlbreK10bBvXrx+m7rZW027JFYHsvaiNmp7gw16u/erNZv2JJFkZX4uKI478rNtEYsTHP qufvn1+fnt/uXt/uvjx//ZP+x0YhvQMS51ZZRK1nwOVOA9Ey8YBtXwNJL/m1JGl+E9hXWMYV YRSDXZDJxP/EGaPmkCh896/wr6eX1zvxmr+9fn7+8eP17d/04/vvL3/89fbIB8FGv51nV/Ly 29vj2z93b3TSffneNxkkxtB2SZ1rkGbHUxzaHHmbZtJRZchvnMZuRg/WVWUIFGFeHov4GhdF NuCKip4p4yQUAvhuPi+LYS1OKOqWIarzfocHZa9CpOvG5GNkvwQ3A6btlyVmgu7DPQpIwHQh i+Korx9jIJAw5uMFl73NxMFm9M60nP3ZNPcS0cuPP78+/nOXP35//jqaAAZKjKnzLfX5Ay0q Hf8/IPttIaN93B+dKp+W0itZNi6n77ZvL09/PI8qUTn5lBf6zwVGTmHgQWpJf6HDAkPY9CcC NlNm/cBBMAxZbmtr39E83L09fnu+++2v33+n1SQa+gbZ9WJmNWuTWaks3UhLo1DsFLrTjZSW ZqXc9QwsKDEC8jCRzNvHKdauycdF0Z+dTJIiFmWvPCaILH+gmoYjgmRPndtEloP6MK2gRTqX lzhhfYHr9sFqmU84kvvtJTPBWjITUMl5kdHWH1/3cck/j6kK8zxmmS2279vcbhKF5D69xinJ DDaObmqZdR9SudvjHc0Iyr0f+pzhtF0j25sd7/B85wD0gXnQQnE/MoPrfE7f1vtmv0KlTEyn lJXvlzFPfmksbC23gTxuZsVBtcqV/ejHHz7Q2uAjG3ICIC8CTKKtk/odPPUwk+kSEqmfgZtz Hn3me/jlgHajxDs5GM4UmSOw/LKHRbi9jDObeJEHQ81yuViM5RkmT5Am18AQg2kBMMAgWhIH syXQ2TSMWxYZrK5DeOFxLh88oMJUUWEvgVANRAlPSKmbqUDK546NM1pAJOTJ+wfg/5Ro8wiI CsxUWRZlGeSVUxmsgE89nr20NcZ4HoSF3deRmZkwUxEWCgXgJLJxZAE7UGlxxI1Fcg+z2Jak pku5QGIT94UsyiNQH2BOa0JhQ8CW+hJPHRP4Sh9iEEWN+/OYXe+9Dbh5NfyjcuCRxXTOwLNn TWrX7msiombT7fncomSRhFrXsTideXSBt6X+Rt/HaVz0w1ffiMZIyFr/GyZXwWbhXc8JsAK6 IXVIJ0b7gtMpMsqDACgfD1DgqqrTf2qOVPc7oNPSn60Tu8bdDbaNVh644O5UqxAXkYKgMXsS 5UOrEHOITBj4ai99/f7j9Svtr7VgW+2z49sSPs6LkQ83kjuztFIqIfE6SxKu2xSd+PRT/Otq 0aurDcfiAgfiThtlGJLKGsUrmxx/VOphXMleMv2bHFWqfw1mdnqRnfWv/rLdXYtQxdvjjtUf RjlbiI3Xq7wgga/oi70WdJGVI0WqZtZl+56Qxr/ZKuh4IXEqBS9aN8xIzhhDRHIsfb9zO6Wz Y9p3ecUJ10zr0e1bA0i7vsPSqPI600/KheonHM5R1zkgJ+n442jN4PQPPXZqUhoflf2wPLqq Kl/C2GvKNbFV8FA0ib282Ks4v+/RbpQVVl9sabtcmnjvYS4HLS8ycd3pfuKJ3304sAYRd3pY 6I0q0xK4CuS6Dc3Su1mokIPX90uNFJ2n9sR9o34/sh5WYRkOnhbj5Lqzmmk4rD9DlASxKcwI 5cncnEgJ6QItbKBug8YxVKsh1kCXmb/hJkEqndcz/C3t/s52qTIP7XeTVbdULt+81RKpkHMe +XGg1d1rmRw2Noy8IADK8aZBeo4sHisydKJV0eVygYwKmK7lAXnkYHIpJfI015LNyRBYhzLo GCDRvyEjM8qajGxCmXwGmvpM+1TO58h8gehb9hcOqSKceeD21ZCVRA+vhvkvD/sY2I3w13rh A38QNXmFrCHSWkEG90mlPxMekXqBwZSXHa59FBZJ6BiUvbHogOQkfHB+XmUPDDWa7DG5yh7T aWcFZg5MBCdbpsXikM2BkmHK2h2RBH5vbmRHn1eA6MNkDnjkmywwgnZOb3aPWaumO1fuGuMo JNXeHPk4aOmOSmhvM8cTk8nIUJfIO4WCORhBIHJsHkzEKxVJLh4KnNDSHYxnntuCC+6XBoCr cJ8Ve8931CHJEszAyWW1WC2QxT9zfxizx3hgMGOmxwV6zSRyqnzgfq7a3S4HYJZC1ELmpQTH fkNXMQhMUFM3uGRDBToi1dYN9AsMUer1DBmPMz1LpTjJraNfXZcoleARBtC+7Uaf2EnN5UUG orAbwAVa7hP1Qe1siqyH6BfziNfx4GxmSjgQsKNw6LC0SW7OAoOpFl6LuEpwzMewibqA4uA0 sJyVYM0rKzJ9qoGC+lA0cZbfgXREcusDtdxzwALg1bgHRe/1fRQf4d8Bc9yPD4BZGl/QnfYA +n+UXdty4ziPfhVXX81U7czfdk7Obs2FLFEW2zpFomynb1SZtDvj6k6cyqF2+u0XACWZlAg5 ezHTMfGJ4gECQRAEvP71sBHgyGdpAMmF40PDePaZCyLQABv7EqNER23QLrTEim4T87mP6UVe btlNHxb360N+iTO/M2sY9Kpc9JmbkpSNKliIqLzpyEJFiHI74zczlKXGkx6/Uus6prMZz5QI uQy5fFktIpIhd1mOVGU/YM9Z2iryjLmqeaRH4wgF/MtG9m9Baw92Yc544LQCYXDiwX58m1PW AH7hCmgyfebSJq0BHDdu55dW2DD4pus4F0P20MJWBkOzXGTHKIefx5BvqhDpUkWOlwOs8Dbm g1XkPNPF+o4WW30n4Hl3j9HN8YFBAH/Ee+dNHlGrVZ7vV3yiKo0onHF6iYaG4UGVWMhkdyI6 l3GPiBV+tszrFiJeyXQwsEJleR2GzEPo6FQYFhNdJuHXbb8mEC+lN9LyvMgCiflyWMRQZJrE Li2t9QzM+TJLC1m6P1aECHRxcrMykWPBhfzWZJefF1G+Qm/67VmKZCEZB2iih4zPAxKjjF2j 6Vl1OT/jBxhaM86Mq1t+kCofPTuY+wlA34D6YFuSzIbdFq2LmPWQxBuRzDNSDXhfbWQaOc/+ dffSUsK3P3xN7PMXwInOnKpoWpqtuRnGIXF99215zWxeLQz8yF0D1wHCsGcSl0WVLGKRe8GM Y1xELa/PP7u/XKRuIoFeH3bl2DA6cqW8v2zbE+82jHv+ZyZZ4m2eLFS2XEgyTHU7/CQwL5Ac 58xUuYLaakohl/0aYU10JjUhMQMKHwitOCsMK75R6BgRV+I/i6y8+DbdDh4DMRj7PGvlmPG6 wM0SL/LoSMW9D0JygeevzB6R6Jnve8w1UYmZ0yU/UE1adXsOy55gx99jwpMCF7IJgAihkA9h sRWu4wZCVGkeVwPJXnABkFHgoNebVzL6NVWKSYu+ZLdYMwtSkv30QdiVQgz0EBWBCOIFuIpg Z6L0WQUvalFPqXPGoUIL27EVaSMlm2wO6VsJ7MxSv4oiGx2Ur7cBaC2MBwkNLcXUqCMmrjYp InE+vMmPF2uc+p5WuAObE3OzoEHow7FjpgKrsq4BlAPBqflhNVnkg0IqlYpF42tmv+boK2AU 6rBHdhkleYu8so58u6U2zEqTRM+lKQgbX9Sp2DTng2Xbq2T/er/7ibdRD++vNGCHZ/QafrUH q43T0ZwlWzovktlDPguWKfcuv6HVmwikRywZ31lEwcJaoq1niUGH8XKv27MRob1owli0oZFd eMOgL8QpmGHCP2aYcMR9oOcvr7afP+McsK3c4oz3AAZZNOR+86i8QMdN4PRacR0jmFI4myVo yz2mJWrvlMt86XjuAJqJLab1jPLRLsoyn04vtycxZ5ezUUwI8w5vGxmt7DhajlJXV7Oxrhq4 ipmHMp5Pp6OtLube5eXF9dUoCFtAAcyT3oLacVwTYMT/effqTDag87VzzafDbfvAnZg84KdW 2e7ROk42SPb/nlC/VVagX9233fPu6dvr5PA0Kf1STv5+f5ss4hWlayqDyePdr/ZOwd3P18Pk 793kabf7tvv2PxMMcm/WFO1+Pk++H14mj4eX3WT/9P1gi5UGN5gAXTwSNt5EjRkardo85YVM knkTF8JSz62GJk6WAefGb8Lgb0ZhMlFlEBRMhLY+jLmiZsK+VJiiPTv9Wi/2qsCt05iwLBW8 Om0CV16RnK6u2VnXMCFMHg0TLVIYxMXljDny13Y+9+IvH+8e9k8PrgxZtEQEPneFm8i46xjh LJnz1+noeZICAeMCTevmhrmB3xC53KULCnmPKWtHhe+V7ZHXDQul1GPkjfaxcD5m6wrM8yKR TMyDhspEpSdZF1Sqcu9NdNPWpeDlQSEzzu9Uqw7LTLG7dkKMCPOWZf3bK58J2qBhFPiKn5WA 3wfTcqgCWYvYc+vCNEZorgtgdmPPbbemkZIl/LNmXNSpr3xXMVWtD1riomAvklJXso1XwJjz iP7lwJ4+Ugql18dQbvHu1wgro5tm6M5UiYBbeJpnG/GVRnbLcyWqW/Dv7GK65cVRVIKCC3+c XTCBJ03Q+SUTqpbGHhPzwfSBCjs6RH7kZeVK3Do/xvyfX6/7+7ufk/julzv/EukIkZtJ0izX mqovpNvfqlPgmAMUpC+9YMkY9dVtzsReadR40uJ5gR7nks1gVG2YeAlcpAiRlEo6s/Hhjgj3 FEflknYY5H5t2ci60npgp7JBiwKZNUVZgYmZMZOgbQykKUIDoWPKqAYvd9/7IyJdb3cLuZbO xTQneu571xfMcaKuAOMouHm3oV9cMAFRj3T3B9LRmQWioc+5YBQtnXM0byZJrLM68aT7QO44 CEzIhg5wyURM0LMczLiA1URvgtuU55yGqDeyvofhIUYAsX9xPWXcFjp+uHDHpCZ6pnot6LEf aed//9w//fht+jsJlmK5mDT26/cnvCjtOKqa/HY0Tf0+YOAFpeDm24RXdXkqxhObL4bJ57BN 6mX/8GAdlZkGgeEX21oK+MRiFgzUXFZrtoCw/rq1QgsVCa9QC8Fo/xbUefPPDfXHxEML8nwl 15K5W2V3pbHs2OY3GvH98xtmOHudvOlhP7JEunv7vv+Jef/u6ar55Decnbe7l4fd25AfulkA xaKUnJeO3UkPJsytvVi43AN2ccI83xcYN03G3DBI+H8qF17qsjyIwPNhf5KhVav0i8qwsRFp YLTD0h5GXyjWUUZN1iQi53veENFTo07sQLO6TRgKw9mflnzFeFoRXbD5xxryxWyELOez+dWF 202oBVxfMZJVA844L4aGzAlMTRZn01HAlnFq1E9fcLFZNPmK3c11nWdWHqIX89nlaP0X412/ 4JI2Na3reaE3xEL56ON/ZD0swNwAl/PpfEgZaDZYGPkqK29dpyVIBYrKIt+upylsr5t8enm7 //zJrpXjcKSla1DKWhs0FEz2bSQAQ7YjEBbSsPuC+uV4+cNR3LvRYpbXlRR1/26L3epiPdDK O/s/ttShtrXPeYvFxVfBHLMcQds5c/mwhQQlqN1utcCEMJH2DcjllVtHaSEY+vea4boWU5QX /tmJemQZw3fp/vRsDOMd2YK2AHGbt1oE5fhgFEwLw8VWtEBnHwF9BMOEaOsG+nyqmIw3LWRx czZzKxUtogTV/5rJ8dViwuSMy+DVTSjwH+N5aEAumNsRZi1MaMAWIpKzz0xajq6W9Xxub6e1 d1Que9+a+S1jnm30CMu765eIxwSsH/hGg/Jsxux/jAmdTU82HPp2bRvodMjbn3dvoFM/8u3H x/0kG0jh5pudMdHgDMgFE5bAhFyMMyQKh/kFJh6UsVs9MpBXzI7yCJmdM/aOjnfVanqlvHER kZzP1YneI4QJTWtCLtym9A5SJpezE51a3JxzW7yOCfILn9mrthBkk+H+6/D0B6rxJ1g1VPBX 71PtfBjL3dMrbN1OVGGcnuMeyLEaB4l3PBLunj+WMlmdATCMdIPXI0W6tGLXYFlz55+sIamI S5uKAV3Nd+NpTuHBHC0D5ixB764lkBlVGDMQcA/f+BmGC8I3J8vEvRc5YlwjtsG6/da7+Thm utxZYftMz/2/oUZlheQuOhK81tcZs8059crb1K/Vlu1ZgM7xDs0FyhdVODzYp/pCabuElhsq d++pqu2o5Znxxsbpb2+aDhq33r9As1w8jI/JjI2u2pCTxOHkm+zvXw6vh+9vk+jX8+7lj/Xk 4X33+uby3Yhuc4EqX+nnbKJI5S2lMzkIZeBoDplrx2fk+aKIArczE/rV1rGXK+a6LCVGPUUv k2zOHWERoFgoJjJL9UUq4LuRN7QQSijD5GyA5SOri3AlY7dKHeW0E2eJG1mIGDbqTnpSyrH2 webfo6tBYyAMHOeNDiR5nI3Q8Zgt94IxCFrCVohhg1N3KVYDL3d3Vgu1RKRxtnGwmhAibztq sRiy0egoUsKiDePbhl5nyitGO5eVkVx49UKNTXSLirj+UTP8JHeLFt17cnJecxYijVlzHN2s CqPDmycjIVAxek2hmIsc2ndxlE/oDZm3UgVnfW5ruWH0bzrcq5cJcwiq31AwR0aNzRndEKEk FT6TjmPNG82OgySZeSqrAu+p4Nb7rF5USo2nL6pSqdi6knhb+3k86qeDbUEznMnyflRkieie ctkt/HiFu/04y1aVESQjwutKQMPbRrlnXk7S/nZIO4Z0eXw8PMFCfLj/oaOp/e/h5YcVMbN7 pi7lxRlzyd9A+YEvrpgr7SasxKs+MDSngCkTGcCA5Fu3rmBCpM9siKINbKxAHtlHZ3oIaFjK w/uLlWPiOPxlQRazizNjjOOVWKt+Kf2s8SUWcgF80SKP34dKkKskc5Eo0oZ+kDInAImqmBt1 LUIxwTdFE/sElAIm6Dt8+4vMdQNHwpBXhuFYB1bePe1e9vcTIk7yu4cd2dwnpcPLVMs3Avan o9g9Ht52zy+He+duQKD7LlrLhg8+P74+OJ/JQQFvlKzh/hxq+q389fq2e5xk8I38s3/+ffKK 50TfoS9Hx0kdePbx5+EBisuDuVUh0uLlcPft/vDoou3/TLau8pv3u5/wSP8ZQ0KlW1mXhcdc 481Ah3ZPXU46XFgwF/PFFuWqe9JhgAvmlIFRilPlPsReg2TjDr7zzTD2qCxuKICxIzI3hrBF p1xvW6fFX1PjM2oo67NaMikXZY4RgriGFAKdN+CHwihTzNFa6HA2RH+E8v3vV2Idc9aa63Gs w8LCT+oVRl9HPw0WBeUo8erZPE3IF+M0Cutzoyj1nueWsIntt6b7tntBw8/dE0hEWDn2bwdH ALDCszYIKqrSAIMVxcNtm/f07eWw/2ZtAdOgyJyO5oG3PYrP1rpu7GDcH4MWKcrtzhDmy2GO obCUrl0UFg+g+5dHCjrqcKQWgTP2bRsbF5qfeJaa22xmmIjIfrDwXGpAkEj7ZifeDR1k/TNp vpdS2iyZijqFBVKEsg69LiLbceTQMxY0xhDdl1K3M1W4qf1wOXzfkemzbAn6HhuuHF4++U38 +7Z7et3jotCNaBc3+XdjoWiHFlq89swIsVgiSuuwEkqKKsWVrO4NtO7wqp0D107EeHhTYJxd ++Qd6Rh+WEcKaKUEUxF8YGUFY6DBdgtbGmYeXDWpiPwy6r+L9aFCImqBuaci+F/RczugIVa7 h5e7yfd2YPV60i414R4GXcsq08rlA39A1/Fqlz5lNmLZlbhA90Z0q2Y1wwFAO6ud3AiUcyvq GRVUpcC4xVRnjwSvzrMSQ2X78ZBUCr8qpLrtNey8Fqlf3OZsGlLCcCd5XxbBzKwQf7NgaESy oKGzDN9CwrQAjRmgLzxpy5OWYckO+UKNvC6V8cij4Yx/EiiB81Y8Ny+oBfb8ApqyeoHacJ3l Lr5Aex1py9K8SZfAyoDemrd9utk+91R39C7EeMvn/QKpC8h/x6ra0wRHrTdVpowwJvSzToUi F0i6vhD2sunSrYYGCEIxlUy2Z43gmE1TVSGsum/CRNVrV2g4TZn1WuorY8a8SmVh2XyTho0M v0g3S2CuCkzf7Mgx69/d/2P7o4clfRtDZPAH7Hb/E6wDEkcDaSTL7Pry8rMlKr5ksRSGuP8K ILvZVRC6mhVk5X9CT/0nVe6XAc16UVLCE1bJug/B362PETq1oJX1r/OzKxddZpidBFTLvz7t Xw/z+cX1H9NPJp8doZUK3WdJqRp8o1o7e929fzuApHd0axBhkgpWdvgSKlsnjkJMYWVyChVi P/EOmlRZYfN3holFZBwUzjQKK1GkVrBL2/dBJfngp0u+aMLWU8pYVKNqCZ/ewqygKaLmWjYW +mcwlMeVFVQMHLLHjhVAIyLhg54hIrG4LSvQC5aXnV4wQgt5miB5xlEj/kEg4Y1UdokYaeti pDk8yYftKEMqQbEpI4a4HlnkEpnCrHOyJxnpfc7TbtLt+Sj1kqcWYy/N8ToPc75yW665xyqO BWERwYxNPZZriaEtlfC3Kd3p91n/t/0FUdm5ycZYUm6YHaGG167Fha50prYARjguHY2PYJA6 +9iAUCbAPg1AvSpcm6hlQfZZ2E1nxp1J1Aj6P3X3jHdB/4eOjUjo30Yuq7TI/f7vemm7ljWl /C0+X+QR+8VITkXzc/aZLPB4OcIxknkeDT+6cFaf3t++zz+ZlHb9qmH9smbCpF2duT1HbNCV 24fBAs2ZG289kNt80QN96HUfaDjnAdkDuU3hPdBHGs74XvVAbi+AHugjQ3DpNs73QG7nEgt0 ffaBmq4/MsHXjHHeBp1/oE1zxmEQQaAhor5VM0qVWc2Uu4nZR7lkIWK80pfS/uba10/7n1VL 4MegRfCM0iJO955nkRbBz2qL4D+iFsFPVTcMpzszPd2bKd+dVSbntdts25HdtjYkoycLLPbM LcUW4YtYMRbYIwS2gBWTc6UDFZmn5KmX3RYyjk+8bumJkxDYMrq9MFuE9PF+ptvi12HSijmj sobvVKdUVaykMygSInAL1B4jrXYvT7ufk3/u7n/snx6OOxtFyoAsbsLYW5b9w6fnl/3T2w/y nPz2uHt9GLoI6QD6dORlnpXqtAsxWi/XqJg0K2a3qUtEWaIQGCDODUUataKm/kBwPkVtZBG3 F5p/eHyGDd0fb/vH3QR21Pc/Xqk397r8xeiQYUnG/JUyDd1c16TIQNMDQPNC+J4SzhsiGphU pcKgdebxJeWooCr+mn6eGX0uVSFzkH8J6LwJo0QLL6CKAeXWiFNQCTFvcrLIYkbXpjv7m9S2 d1r9t/aAAm2vZdeL3lCVwkebEe7wEgwB66izD9HDl6XxbX9Q8mwQtKJpUFYAp26ERwlL+rec Wr7CSGK4XyhuTNtXV9iZB/Tk/PX536kLpe+4G5YuaoHWsrvAOLvHw8uvSbD7+/3hQX9T9viK rcL4cFzWTqoSgRTVlJ8mGBD0YWKsXMdqgDHcfmQaUmQY3oK3hWtUtvgCM8XsQ+Nq0cKYuPmI wGw4zrhaOhIsDWQikhgmcjjJLYVlS6jdX8Gep2eN0MS1y0GkC4rUYLSrqePhYd4pi66PcEEu 2LkFmwnQHIlnJe7B07BILqNEuFppjA51EU2DYZxt+jzYJ/Y/xQiPewdWO+TRSXy4//H+rOVf dPf0YB+KZ6HCPV+VN6l1mGv7mBz4I7gmP0+EzkzKYy5Dbm5ADoA0CJjgzjn6IQGz1Znb1G3R 67UXV+IYY1gTcWHKKgw9fOwqxkTiU7sQFaW/sXvFMuJra/dKSM2QIg20dByZfGzKSoi89ynr u6voLNOJkslvr8/7J3Sgef2vyeP72+7fHfyxe7v/888/fx8uVYWCRUaJLRP9vOEMh6NOD3K6 ks1Gg+BLzzZ4ajaCpSOKEdlWABe35xBOBFWAoz7ykvYCZszFJj+2BV6DqYO6rNTuftJLgakp 1zArLI/jwKe4JsYg9cpkGlr3YFRglcZgfsBAw5SxfZmohTIrmOC/Jp3RUB6wsdIasSVPIcqx ZYdOdaRgArppjF8IjLsPy+nQ5F74FbN+EnMg2VXxyemBB1Eih+MIrhoDgiId5hGmq5Ujs6lJ H0wvFoobx52I/od00+gzBX9fu5ld4kjQJfCk2t0ZbGWUqTzW64MSriP1496hmTSdKBsk3Ret mznBzbHLKCaGN6b+rTsWLx4FGp+Cw3qY5XoYzWMIXAzDKtU64zh1WXh55Ma0W4OwnSaeWG+k ikCDWpb992hy4mM0VsqWYAZxJQie7hCLIJLU134lfvOgrsU4g6G6fdu1sUBBpfPXGafB6PNM eOtUF+cZWaOE5vvDURjgWycqBjicnXDA4b1pYWS7EEmuQBXRDWc8yIob0DrCsYr0EjsCiDbA fWOAZv6aOXI3RD9el6k3iInWbkUx4lGEYolOz9Ms7R1J63KMo4nfX9A8wKylHTyOx4Fatxj2 rm1VE3JPZnWPw1fwioVoBv9YXLmLe6WDsVMeCMqcF6Z4w4ag7imCBaYLwMGPP3049QIkSZRw GW2NT+P/gTzZft1NAfoj6u90YORSNpsM4hg8cnp2fU5X0wa7AbyulkvGGlG8P5EhQu1e33or XrwKGBc8ioCFqzTo6EziBYKwVM0MZV2CQqxu+WFYHIU0aDUja+cC3SZ4Ou3fcTDHYbBA48LF 0rVqd3nu1LHsrkdiG1QJczmFxkYRQzSp0XncCoCKSe5FADJHubfZRF9IlTDnf0SvKuk2DBK1 gG1qRJepRvrKBZfSfMKE1dEvL8nbLncb0nT785HOoR8j9nAMMXRU7M0EuUKMtJG39DUz6SlY wNikDXoaEybRCey9efYnuwYFAcUbQEXF+7yVHiaAZo0cZHFYLQMrJw3+HrNOVAv4PvU3Kr/S 2mDdayjIZgYCugGmWZ1WzE0rQoxbQtD/t5Yl7c82dkxx/FZ81WBcZk2viG9bu6wVWxovO7aJ VdF4a16sMZ9yl9bBYmm7RZpEweRC7Lem3gYL94aTrmIqlBP8Ba8jxv2yUNb5UtUsoFHuXV5+ QfZ/jV3bTiM9DH4VtE9Ay2HLBReZQ9sscyKZKdCbUZetlkq7sGqLfnj7P04yh0zsKRICEX85 TuIktmNXal17wVytaCAJ5klFLGz7LKQUg/d7/SnXbsFYYHHolXEYJMYurOoYoRefds1Xnz/O zjthypCmpswEp5kFfDvFqfrkdOHRdGV94+mOQATKaBEjDKPFQK3o9bmxKus1seuzvX9pLQQT zLVYCgvatjBXnCOFRcyzhGcDM0tTqjpqEc9B7M065WOfynxRLRUvKuckqt/TwdZJtq7KHjg8 KfDk7ebhzvb5fb87fvqaHmC5TlVd1HBFgv2VsIeyeQllirbQiiMaogh1tFSDGpuILsRR2Zov qxNYLPX7E83GcFVEY+g8zPugfmvVyjLP71xZn4WgBiJtfmtyhGVszZEeqWg7LXIoV2tOiDKt weAezLpqFkXi9vrq6uLaYQMgnVVXvEhv9bDTGwEcG5gYejD86qTYCFjzyrwSVOAxsxtDMeDD 3JyvxkZIzWmIiY6MvaXo9aaX21cwVuY7IZERl1rPQ5cVgfoxL0YQbBXWjfCXwmjZr4jv1VG7 bAXR/qeVKSMksC1ELd38iQha12BYoXqfEpL3FgUvJgpOnGAa0BNDXVgAT1gMnwO0iRBnMWND l7weCuKrORsRJ/xSxKjipmHPyOTpccsBJmJYFLgh7PbbYftn9/r+0VpvaTaUN1ww3H/+O76d PYNT+rf92cv2zz/96MMBq7W1cGLRO8lTPz1mEZroQ9XNPuTFsi+iGVL8THAzQBN9qHCESG0a CuyFoB80nWwJo1p/VxQIGjwwIFVLJ0qgTY3wM5KlxmGEsU5LTVnGFkirbPoUqW7oiRTN2HAZ ffmQXvGL+WQ6S6vEI8ABHk3EWlLov3RbYHO5r+IqRvLqP/g5qumJDxl8pKpcqs0aKRz1KMPe jy/b1+PueXPc/jqLX59hQanzxNl/u+PLGTsc3p53mhRtjhtvYYVh6o9imGI9WzL1Mz0v8uRp cuF6hnORMr7nK6/UWOVWR7Q2hk+gX63/ffvV91rU1BWEXv6wFFirCIlnWyn+steSE4E7Mm8n AnHBsfTH8crVcQre5HlfbLk5vFAdT5nf86VJ9Go/0brVwAGS0U/vfm8PR79eEV5MsUoMwTxO HatM404C1IgmlMPHDldOziOORbZr5qdlv97nQmamt/qiyxEmE10hxaZczVxwB8NHh1ukkWI+ pxCEyW6HoEKKd4gL14nZYO0t2cSbQCpRFYt0TRGuiPDqHQK3f2zo6Si5XIjJzWgFD8WgBeZU sPv34nqxaPZwiXRDpdZoDMEe/WqGDQBQMn56erOsCjjq3MTSRXiJFB8k+cOcE8KGZsKrq2GS EMHsWowsR6c1AK7p5kXosM29fc7jYEu2ZqO7mWSJZNPRSW0h8AVGu2D3l9GiYkJG0dJFQXks ciG1lPH0VJNKIqZLQ37IT31cCxlW1BpM7reHg9qrHU82zSebg7Z3dPda45cXS54RThXb3LjV ckdeIi5KNq+/3v6eZe9/f273xmHK5oh3APyL12EhUGdtTSdFAJLirPJYlqYQG5+hUcL5Pkid GcYr9+r9wSHUNMiM1F2dOKVqtdOp+lugtCf0L4EFYaAzxMFdhu4ZtG1gV9VQHrDx1O/yI9Jk qQdbxFRA0h5oyedZ/f2GcD3eA85lojgXS9spo9V5cnSbhXwh5Y6pg9zD+9Tl7ObqIzxZHGDD C8oX+xB4TThlJypf4VoerPovQlUDVtjpiMmnNI1BFqcFeVrC+okQiypILEZWgQt7vDq/qcMY pFEcjK2tq4aeAvsulN9bm/KW2okqNd2ohmJc2AUSjRgC65r38atYmMo4EvYg3O6P4MdIXWAO OjzGYff7dXN831sTc8fA3jw9rEuIwmrEnMIxyfDp8vZb702zpcePpWD9QaDEOnkWMfE0rA9H m6KDRMeWkCUGtlAtXbxb9a5l1lyWr70w23crXMC5WuYSglLiO6GhQhRnaYOg2qePSGsCnkEf jTK2ubolu5/7zf7zbP/2fty99q8xAS9FDL5F3fDeraquoyN1GaFz3xi8MaKRpcjC4qmeizxt XB4gkCTOCKoairoqef95YUPSqtY5F0al7NOLkLd+RAakQXKr9JsziDQJga+LhLtSkFAxL7XF OEmTwck0rP0bkEPmZVXj8gl1xxqUpS5dI9oNC1D8IA6eZkhWQ6FOChrCxAN9UAEEpcdWVLJg IhAPD8yFlMo2w/giyEabb+ZoejVBfzXtmbQFoaUb49Hx4VyrBsLGCye37hPrVHue61LV6U1X KxynNZAKCkQ//RJNf1xD8vB/0Fp5adqJVuFjObu+9BKZSLG0clmlgUeQah/wyw3CH45q1KQS I9f1rV6seW9R9QiBIkxRSrJOGUp4XBP4nEi/9Fd5X69jSY7dTX+TlXnIFRfT7E6wnuIL2IJi F3E6TAINcu2wEW02kDoSWbB1yvK8GPqhcQDatTNuva91Jp0qocd9iqoWTu3RfZ//JrljWQH/ j83/LHGdXITJGjwWO3wlFxGxwqIIPySDcWORJ9h7kbTgTliVHELHxwu1w4re4FehnFrDpC5x nsMt0FfhQzrq7Afws4/ZoITZh8u+Jdj/JxxVh4Iju7zvxqbZMCR8Isb7r/qNeZNTsrGswob/ f/yF04C3vgEA --bg08WKrSYDhXBjb5-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: from mga04.intel.com ([192.55.52.120]:23968 "EHLO mga04.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1750982AbeAUNSO (ORCPT ); Sun, 21 Jan 2018 08:18:14 -0500 Date: Sun, 21 Jan 2018 21:17:27 +0800 From: kbuild test robot Subject: Re: [PATCH v11 1/9] LIB: Introduce a generic PIO mapping method Message-ID: <201801212010.4rD9vlNa%fengguang.wu@intel.com> References: <1516537647-50553-2-git-send-email-john.garry@huawei.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="bg08WKrSYDhXBjb5" Content-Disposition: inline In-Reply-To: <1516537647-50553-2-git-send-email-john.garry@huawei.com> Sender: linux-arch-owner@vger.kernel.org List-ID: To: John Garry Cc: kbuild-all@01.org, mika.westerberg@linux.intel.com, rafael@kernel.org, lorenzo.pieralisi@arm.com, rjw@rjwysocki.net, robh+dt@kernel.org, bhelgaas@google.com, arnd@arndb.de, mark.rutland@arm.com, olof@lixom.net, hanjun.guo@linaro.org, dann.frazier@canonical.com, benh@kernel.crashing.org, linux-kernel@vger.kernel.org, linux-acpi@vger.kernel.org, linuxarm@huawei.com, linux-pci@vger.kernel.org, minyard@acm.org, devicetree@vger.kernel.org, linux-arch@vger.kernel.org, Zhichang Yuan , Gabriele Paoloni Message-ID: <20180121131727.DyHU5nwBYGNLp5h0br5iRGc43bgcZzhwD75usjjoUIE@z> --bg08WKrSYDhXBjb5 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Zhichang, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on linus/master] [also build test WARNING on v4.15-rc8 next-20180119] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/John-Garry/LPC-legacy-ISA-I-O-support/20180121-194832 config: i386-defconfig (attached as .config) compiler: gcc-7 (Debian 7.2.0-12) 7.2.1 20171025 reproduce: # save the attached .config to linux build tree make ARCH=i386 All warnings (new ones prefixed by >>): In file included from include/linux/printk.h:7:0, from include/linux/kernel.h:14, from include/linux/list.h:9, from include/linux/kobject.h:20, from include/linux/of.h:21, from lib/logic_pio.c:19: lib/logic_pio.c: In function 'logic_pio_trans_hwaddr': include/linux/kern_levels.h:5:18: warning: format '%llx' expects argument of type 'long long unsigned int', but argument 2 has type 'resource_size_t {aka unsigned int}' [-Wformat=] #define KERN_SOH "\001" /* ASCII Start Of Header */ ^ include/linux/kern_levels.h:11:18: note: in expansion of macro 'KERN_SOH' #define KERN_ERR KERN_SOH "3" /* error conditions */ ^~~~~~~~ include/linux/printk.h:301:9: note: in expansion of macro 'KERN_ERR' printk(KERN_ERR pr_fmt(fmt), ##__VA_ARGS__) ^~~~~~~~ >> lib/logic_pio.c:175:3: note: in expansion of macro 'pr_err' pr_err("resource size 0x%llx cannot fit in IO range size 0x%llx\n", ^~~~~~ lib/logic_pio.c:175:30: note: format string is defined here pr_err("resource size 0x%llx cannot fit in IO range size 0x%llx\n", ~~~^ %x In file included from include/linux/printk.h:7:0, from include/linux/kernel.h:14, from include/linux/list.h:9, from include/linux/kobject.h:20, from include/linux/of.h:21, from lib/logic_pio.c:19: include/linux/kern_levels.h:5:18: warning: format '%llx' expects argument of type 'long long unsigned int', but argument 3 has type 'resource_size_t {aka unsigned int}' [-Wformat=] #define KERN_SOH "\001" /* ASCII Start Of Header */ ^ include/linux/kern_levels.h:11:18: note: in expansion of macro 'KERN_SOH' #define KERN_ERR KERN_SOH "3" /* error conditions */ ^~~~~~~~ include/linux/printk.h:301:9: note: in expansion of macro 'KERN_ERR' printk(KERN_ERR pr_fmt(fmt), ##__VA_ARGS__) ^~~~~~~~ >> lib/logic_pio.c:175:3: note: in expansion of macro 'pr_err' pr_err("resource size 0x%llx cannot fit in IO range size 0x%llx\n", ^~~~~~ lib/logic_pio.c:175:65: note: format string is defined here pr_err("resource size 0x%llx cannot fit in IO range size 0x%llx\n", ~~~^ %x vim +/pr_err +175 lib/logic_pio.c 157 158 /* 159 * This function is generic for translating a hardware address to logical PIO. 160 * @hw_addr: the hardware address of host, can be CPU address or host-local 161 * address; 162 */ 163 unsigned long 164 logic_pio_trans_hwaddr(struct fwnode_handle *fwnode, resource_size_t addr, 165 resource_size_t size) 166 { 167 struct logic_pio_hwaddr *range; 168 169 range = find_io_range_by_fwnode(fwnode); 170 if (!range || range->flags == PIO_CPU_MMIO) { 171 pr_err("range not found or invalid\n"); 172 return -1; 173 } 174 if (range->size < size) { > 175 pr_err("resource size 0x%llx cannot fit in IO range size 0x%llx\n", 176 size, range->size); 177 return -1; 178 } 179 return addr - range->hw_start + range->io_start; 180 } 181 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --bg08WKrSYDhXBjb5 Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICAiMZFoAAy5jb25maWcAlFxbc9w2sn7Pr5hyzsPuQ2LrYq1Tp/QAguAMMiRBA+BIoxeW Io8T1cqSVxptkn+/3QA5BMDmONlKbTLoBohLo/vrC/T9d98v2Ov+6cvt/v7u9uHhz8Wvu8fd 8+1+92nx+f5h9/+LXC1qZRcil/ZHYC7vH1//eHt/9uFicf7jyfsf3/3wfPdhsd49P+4eFvzp 8fP9r6/Q/f7p8bvvgZ2rupDL7uI8k3Zx/7J4fNovXnb77/r26w8X3dnp5Z/B7/GHrI3VLbdS 1V0uuMqFHomqtU1ru0LpitnLN7uHz2enP+C03gwcTPMV9Cv8z8s3t893v73948PF2zs3yxe3 iO7T7rP/fehXKr7ORdOZtmmUtuMnjWV8bTXjYkqrqnb84b5cVazpdJ13sHLTVbK+/HCMzq4v Ty5oBq6qhtlvjhOxRcPVQuSdWXZ5xbpS1Eu7Gue6FLXQknfSMKRPCVm7nDauroRcrmy6ZLbt VmwjuoZ3Rc5Hqr4youqu+WrJ8rxj5VJpaVfVdFzOSplpZgUcXMm2yfgrZjretJ0G2jVFY3wl ulLWcEDyRowcblJG2LbpGqHdGEyLYLFuhwaSqDL4VUhtbMdXbb2e4WvYUtBsfkYyE7pmTnwb ZYzMSpGwmNY0Ao5uhnzFatutWvhKU8EBrmDOFIfbPFY6Tltmk284UTWdaqysYFtyuFiwR7Je znHmAg7dLY+VcBui6wnXtTNVM2kr2c22W5q5IdtGq0wE5EJed4Lpcgu/u0oEstAsLYO9AEnd iNJcng7th6sMJ2zgyr99uP/l7ZenT68Pu5e3/9fWrBIoGYIZ8fbH5E5L/bG7Ujo4oqyVZQ4b Ijpx7b9nogttVyAguFWFgv/rLDPY2em0pdOQD6jHXr9Cy0FdSduJegMrxylW0l6eHSbPNRyx u6ISjvnNm1E19m2dFYbSkLD/rNwIbUCMon4hoWOtVURnJ/drkEJRdssb2SQ3oqdkQDmlSeVN qBJCyvXNXA81RzgfCfGcDmsKJxQuJ2XAaR2jX98c762Ok8+JrQTpY20J11EZi6J2+eYfj0+P u38eRMxcsWB/zdZsZMMnDfhvbstA2pWBm1B9bEUr6NZJFy9LcGeU3nbMglUK9HlrBKjQ4Bq2 YLiTE3FX0xFwaLjjCTvdCsrGhl/yjVYLMVwMuGWLl9dfXv582e++jBfjYGLgEjo1QFgfIJmV uqIpoigEwACceVGAlTHrKR/qUVBpyE8PUsmldso4ABjQnKuKSbINFDioVdiq7XTAykj6Sz1h Mmw0E2Y1nK7TrcwqTXNpYYTeePNRAfYJ70kwSaerCXlFFgBHHNS9V2WRvjcN00b0SzgMG37e jVsYYmSOAMmoFsb2IpGr1JKELDmzgQoJKRsw9jna+pKhCd3ykpAMp6I3E4k8AAYcDwxFbc1R YpdpxXIOHzrOBviqY/nPLclXKTRkOOVB4u39l93zCyX0VvJ1p2oBUh0MVatudYMqv3JyeNh5 aARUIVUuObHjvpfMw/1xbcG9BjiGIuP2S5thfgBT3trbl38v9jDRxe3jp8XL/nb/sri9u3t6 fdzfP/6azNhBI85VW1svMJHMucMYycRUM5PjHecCNBQw2nCElNZtzogR0NIC0g7PE5s8IBzG DAnXRJtU8SoG6YPVSaPKQQ+4PdK8XRjiAEGxdUALVwA/AS7ASVGW2njmsLtJ+ru14ShEdxwb 1l2Wo3gEFA/hxZJnDvyEu4pABlB/fcpJqybX/j9IbIHdC9C8srCXJx/Cdtwq8CJC+gHMNFrW dt0ZVoh0jLPI0LTgwXlsBcA89xeNQrAZqhFgaGt0ZgDDdkXZmsDW8KVWbWPCdYP940tyxVm5 7jtQ2ssR/IQCNMqk7mLKCNAK0B6szq9kblfkB7UN+5Is/WcbmZtjdJ3HwCamFiBTN84JTvv1 0J/q2gAiCC8T3kCcR08hBsvFRnJxbJrQFS/d0ZUKXRyjT+zWgcEovj5wgfGgFCIAMDBhPHQo WtDedfAbwVYdSQwsV0MTMR5uR9i3Fjbp6wUYYfZEsEaerSnQeWq0ALseC8IgKbFXi5IKu+1c Bx2Io/vNKhjNm0oE/sMIeYLkoSEB8NAS43ZoCOG6o6vkdwDOOT/4iggh3FFimKXmEQhJ2dDl ptRigl5ZDYBG1oBogg332kLmJ0H4x3cEfctF41CQC70kfRpumjVMEVQ6zjHY2qYIJzurtZOP VoDxJQpKMA+4Wog5uwkI8Qc+NoeSgFPvKcRXixUolHIC+A/GO1K06e+urmToyAYGTpQFmI8w TDC/QeAnd0UbrqdorbhOfsLdCIZvVLR+uaxZWQSC6xYQNjhYFTaYVeTsMxkIIss30ohh24J9 gC4Z01omum8l+LpRsCWIfABIU+K3xpG2VXSZh7YuORyCIQO0ANuAdwCU3pHx/X7i/UZHJTLQ TUFJQqSWnG9Z0KbDhaNyUp34KwDduwMEPnRr+Mm7yJF1YKcP1Da7589Pz19uH+92C/Hf3SNA QgbgkCMoBEA7oqCZwfsIERJh+t2mcs4MMcNN5Xt3DoxFwm3KNvMDRYfaRzH1mtaxJaOsHI4V jswykBm9FIPbHl1OpKIpRSTVabiIqpr91si4YjoHR4A6BrcSHxHUVrJYQ1hROTPWbQDgF5In PiiY40KWEUp1es7JdbBbXDOzSu72WlwLPrQdpq38kNRlcPIy0MdxhhZULP4KB99IA3c/t1UD HlsmYo0HiB1cpLXYgkIELTQTzQKDkY43RgZHbwin6VIGcENBx6Dl5eg2zC1JFLCxEsWsreMe CdpEYUXADG4BuCNRxGatxWRubnAJ+4uwFIhpIGWyOb51biRi9eEw4C52BWXkIn0/RnAc60qp dULEMD/8tnLZqpZwiw0cIDqTfWAg2SIMpIOlsLLYDuhjygDAsQ9AEXAeMNAWEBo6785suiRO MkctlqBd69wnVfrD6liTLpSX1OqA76A5QtrqChSHYN4oJLRKXoNUjGTj5pBCEISIcHytrsHD hj2Q4V1I1S1xMKgl0MtxCNcKbnv8RA1CfH/QqLrfl7yt0qCt2+boEkb7Cr6id7kKH5iLT84L k/fceNVgRiYdvr8+/tRcEiA9Et/PB6BnaLlqZ9IZCMt98GkIahPLM4KjHehAKdkIis20u55L AKRN2S5ljNyD5jn1ARxuu/GGuyNLYG5MpJyslAeEp07BcsIBp9+WTNM+0oQbjkORARe7wogV bBqgjlSa/K5Lx+LlqdDoOaUKbhrZmVE3NcYNRZ+UIkSjUnl/gI3gaOwCCKfytgQdhxoYUaoO RfegVxzFWeRp/m6aNU0YxDXGoymdFvf6EB++arZDtseWUzs0zI12/TFtmrVOc9Gh0hoMDuz8 FeiFYL6qzBE99/m/swmB8R4ljCIB8KJWgaUrCjqSME56g6t2504yOh7lXCtWDskPfXX9t5gH gEUsfjQWFqyODToFF3qelHb3AkR2p0iH7hrThm0dQcChzfk/E4y85Grzwy+3L7tPi397uPz1 +enz/YOPlgaKRW36mR9bvWMbAFbkPnqt1Rtlb7RXAq9X4JrD4tALC++sczQMIu7Ld8ntiuJj flNcDgB0NaOAa8/T1khP72rf9UAMR+51Ny2BfXej+SE9OeP6DJySjgT1ZFT5OkF/Y0hVywrm CGol79boiM0u0/iYbAmAqQ2MahYHJcssZ0VIBQDDjQSR+diKMCswxG4yE/kvQXMpM3LKY9TH iqWWdnuU60bVMzFFF+esclfv4EwqbUyQ7Sqjbqj/BHpyhUnXgPupGja9Hc3t8/4e63sW9s+v u9BVROfHBWrAj8dgUSQ0DNyUeuShlYy8pjkG5WiKkR5c9QoUZkQYR7RMy6NjVoxTY1YmV4Yi YBIjl2adgK9K1jB502ZEF0w4aGlcpQRBbqEnmAcRDTum+fPq6PzNUtJLB6Wsv7Gfpq2pCa2Z rhhFEMXMtzC5ffHhG6cbiOrsjFDyqo9dwxFX+5yyWpi733ZY5RHGJaTyEdlaqeAuD605GHP8 1pTCiyjjOWT1hw5HEv8zPXECR3r13718c/f5P4cYLqxwfqYBcb3N4ojXQMiKj5TJMfVJsOLa F0I1AP5QhwP6izLWPd3hHk8/RiP7XoHyEnOdQ2LcO64MYlahq6irIPnvbJ6fOqgTdVWHYN8X k80Q3ddmaIcIgCuryB2bS0ePLPOUtLO+ortO2sekjVefz093u5eXp+fFHtSnS8l+3t3uX59D VYo6P67Gm5RcFYKBlyp8KiQhYTp9oGMgJqFXjbMWoWBhcwZ4tKIzG0uApYWMIfABStlG9RI8 yilYNoBz+VzJp7i2AHuxlG4MS0dzoT4YMfgvVJK2jCPHx5bNRBJHnrKZwRbIwqpxlkRmbLyY RVdlMrmsru1Iqgs/oHN+dnpCo+6+tg4zJoDj6xyciJkdPVynviyoYLJs9eSMYTAJpoiyBU6x wFW03knsXJAkVj+rbSP0RhrwR5ctHeADFyVTyvoY/wjkzj9c0Ajv/RGCNXRGG2lVdU0Z8wtX PzxygndlZVtJSQ90IB+n0+HhgXpOU9czC1v/a6b9A93OdWsUnY2tnDcoZuxtdSVrvpINn5lI Tz6jr1AlSjYz7lKoXCyvT45Qu5IW6IpvAZTM7vdGMn7W0aV/jjizdxgCn+mF5mXmzvSuV6wc ndBjdrKvJvZ1DRchS3mS0KIr1oCvB9q3JvXEqHQwyIehh/jraGDcAC63ZdoqJsONiBv6eNvF edqsNonOB3xatZULIxQAmMvt5fuQ7nQUt2VlAoOJzKBY/IynzaAap40cLgVriUFc+KgSlkUF /6tG2DTl4NpE1ZZYG6ZtsOQ8jLfWrgo7COd4FWaqsGTfNVV82oK5VBXqCnAxRdVYF7mjSgR6 8kaVLazQBb7TvjMH7gKlGCFKRU0RjVpohQlHzKhnWq1F7RQqIqjUjPOJeocmrMcpxZLx7cxs gCc90KHZH2hs/mofbapmxRk7YvjMrMBmExOCj/0s+Nze2JUAZ6PsNkPc1YOkID355enxfv/0 HJWqhTH4/jrVSdp7wqFZUx6jc0xhRTsa8jgYoK5mXGx3ym7Tu001Y9FSQtD15CILa3QdQjJN Ia/dTRlDHQoUTkYXPssP65nBtUD5gcF8/dSgFyXXivuy0rQpFY+REN34sRmDlk5vFlHuyglA qE+campaGYlJrbB2EQADFZ33lPMowtI3XpxT4XD3JkMVBVY2vfuDv/P/S8YjooTQ2oHO1tsm fdRSgBryVEY84HBIep4sSsGHTJmr4g22VZYoMuUAtLActhVjSO9o32FSFatbFidiDzPyNKr4 xHeOR+uczfP9wjr2w3A+w5sG/EWVxM+i5n5QluawhqDnMgzE+fda0nBAueHAcWS7R5f+YQYO T2HZpgQY21g3BWcjzg/WCMsLeBLrCSrDx8u/2sKtz3Pd2dnXa5lq61DgN1KDMVOYEAhGr9ow lTjWmBhK4oe4gctY+GLkXF+ev/spfhv2F+B+TJmJnU4zOvPRf5/atavGPXWgQzylAIOB2Igk F1rBELOdZ9503DRK0eHjm6ylweuNmS1IGUTPvT0acvtzsQk4DaF1nA11xXmRn4epdEfBhPw6 qYsOrYmDQljaTDvZAJIy0EGrKnFZA+XV2ES/OpwIrrvCx0Vat00s2s6vhxsDh8yqQSRGRt89 BSD47gDj5FeXF+cRkl71qGwmkmp1JOD4uzMMdkveCCpr6uOhqb4FCGy6BsOiTpDSVJ7PDsZT NtERBhi7CgslRRG55xjMNLYlq4l8mjnSPTfdybt3dMLtpjt9P0s6i3tFw70L1OLN5UlgqDxK XWmsyQ8Cs1jvEyBrVxLUlwiMesUVBWGBAGUeQatJRKMghhot5ElsILVwb1JiU3ZIyLrUU7zR ri7d9QrLFoevuGIC+MppbIVBHsvWeQZR1uEgpwEDva8+afFNtr6WbJMb+sHXEJHOEgUzCLDK sQimzO209NPJorf5w7Xqp3PAsE+/754XgGFvf9192T3uXaiP8UYunr5i+iQI9/Vp4MDq9u9C x9jhQQf4N6XonZYlJpbNlBjXl6HlzoOw/VhKjKRSiCZmxpY+3DjqrsqVPjsardwqMA9r4UKf lNhV0TcmRX84fp8zOhItAy6MZg67Q36nn39SHIQ947qqoSX2L6HVFxwdvnn10cP+IPF+JOPN w/ol/DV4Be5GmUnu0Rcn4EvqPm2PXZrw5bRr6asI/UScm2KCF+hBim0oi1qS+taP1Z943Asf BRRm6uGEPFpsOrUBeyhzEb5YjkcC3TP/dMxxsHR5GbOAf7dpa2ttlOXDxg18WyVtBUu58viZ CTa5uIcWcJpRTeCwdmEwqHlwAWly/AArJibtMyouGZAtlxrkg64pcry9ezwZg7fGKrhIhgyx H7waP4ZTUm0DIDdP55/SCFmiAaFbCEdxUnOuPV6xOLDjpw4YkMl60j5smVR9UCT+mMlo1OT7 zmTIw72qhF2pI2zZUtMPWnrhz1vUTljf55K1qi6pCMt4jVkjJlWbQ3tfOBh/Agm0tWtscST4 4K/dNXg7c2pT4ksNkLTZvHt/LvDfM0VFpqCnxprIiRneHC6K591/XnePd38uXu5uH6LYzXAT 4wihu5tLtcH3zLrz75Io8vTp5IGMl5c28wPH4FzhQMGjlr/RCQ/BwFESJ092wCive6hEzjjk VHUOnkg983qM6gG0/oXw5m8swSHL1koK8EQ7PffqJ+L5K/uR7gNFH1Y/+6W/vtjZRR6E83Mq nItPz/f/jcoLRh+imYQFnW7jHL+IH5zRfoPViUU9pcC/s8nYuKm1uupmMkgxD50RiXnozNKQ 3fSXR9QG8OFmrhrJ5UuuHfSqZrSo88Qa8AcArPg8gJY1DbxjVsnn87wjl6loFeSWeu7flh6b 2rDjtStro7NFPlpfL3VLK8qBvoLrNMsgxmuhJ/L38tvt8+5T4ALMrDapHTvIrvz0sIt1aY9K oovgQhJ4EUqW5ySii7gqUccwBfEDenZm5OOqbcoZM+tvCrJN5py9vgyLXfwDAMNit7/78Z9B JJ9HhhAhxVJhOIM2ZY5cVf7nEZZcajrn4MmsDtAmNuEX4xY/Qtw2fDjhdH+IIe4uEJv7MOAY DOgBDvZBFnp2gsVhQmwCUK3pVHjfYT7H4hhMU6VDYtvs344IGCavpw40UvfPsKG38peYaaMc bkVTicn25M387nSNpeKs7jiNTM535o93IO1jK/XapLJ6xFnls+ElJKG2KoX7k0C9REU9pdrM jtpoWhE6GjOSdIzxk8lzkVEc56TUxU8+kh8L2WRGF0iEPC7w8S0mjgriW0xmFZ+2UzP57uX+ 18cr0K0LHIM/wX+Y169fn573oY710nLlCnomY2DH355e9ou7p8f989PDw+45AAYHFvH46evT /WM6bifq3GVyyHFffr/f3/1GjxyLzBX8Iy1fWUFFr/u/0tY/lBoVsKFD54Zj6I0kqXLm0rBS 0rUbtbDv37+jqz6WQpH+PsCLOgsvEiZ3wt8Vlyz97arVOy7D14/QzavTfkt/uLt9/rT45fn+ 069h4dwWqw/Gbu5np07TFi25WqWNVqYtohadbcPizJ7TJ2KjS5tf/Ov0p5nU7Om7n07JS+lS XbWqD7m1QycNJ5zLI+hpa4opQhB/7O5e97e/POzcH29cuCT6/mXxdiG+vD7cJmHHTNZFZfHN TRAkL4s4kY6/XIz54EXgG52VYHn0mLcfy3Atm8mfm1Jt/BdLPC82U0k1T61kWOuCs4jfwvWx 3bP0D5f15aRSRTmBOnQo8a87SAB5/nmo27h6t//96fnf6AtMorPgtqzjv5PhW/5H2bU1uY3j 6r/iysPWTNVOjS9tt32qzoNMUTZj3VqUb3lRdXp6Jl3T6Uylnd2z//4QpC4kBUizD7mYgCiS IkEQBD4oFSHAdk/w57a54XePt7uDi7GFc4nsUH34pVETvaIap6CbGFAoj9sKPDIZocgDj7nx xDdjUwlMSKnmJK6HwQgeOGb/EM5Ii9wAKri4S6q0tfZqZxfXxxnC+7YQ18H7l2VevTkEsWrT qlO78aAxHIENdtnSlGq+zey7DEXJ09z/XYV71i/UFxW90iIoHLuqnmW5wO3lhriDpcWTI+bK aDhA/KSO04Dque6CN2SJ3ed2VPChy0Uik+o0c7tgCq3lJK+pWmXZQbhxRdCwY9i0jOxdlB2H aF3f8BkG86gKiJg7oHGJj6wwAwfigabrOd7vgM3SDjzyJDhj1JfnGWE09JnpwfI4t5wP1EiI nJLloEju0MiblrgVmErRktlx6+5BLeXMZXnOiLN1y7VX/xvhkOMs122M6zIty4nvAiIWrGFJ ce25pcNlHiyQYa54pK0nTpg3Wo4rJ6ZwyyHiWKSZGOlPyEYHjoXE/tJ+/S1mB2ijW/yP3xAK r5Meuan+fz88/fj88vTBnlVJuJT2YVnkp5Urtk6regMAD0ocLkozGZwh2I+qEA1khMWxUvLC epkuUVLCX8K6EFzE/JhIj2tIhkCbEpHj9jlNFcQsNnUT8sfjGhRQK0wU+d33BRBNB7HTH6mO rj9TDffUcwBxu34qsVBoTZKe50xdVq3QuAZNTsEjTDt6ldec954eGkSgU9tQQxytYGBH9Rj1 ENF0yXerKj6PvU+z7ZMAxYHkpXeIVyUAawweK+A15Oq4eanWZhxIKaKrt4Prh/L9Vd/QKS0r yXE4R8XaYi3Yz5vCdrvpmyrhAK6UanUKuanDro8L36uoU8d7JOi0cDG4PRJgEFpkQMBKU+2L 5ZRqVENzffTV6owhqKpCfsJGwKoOGWabai7RCWJkq4wORRSO4HVoqlnatwvFrnCbJrz6S2vk kE/XjN0uPvIKNR2qStKgVGPl/NZ2YVfBqAkBXOCgaH2GDiPgVwZ998ugJ197tZfqcVyhNHR1 PuzZfG0eUiHuhuTSHiX0HL7og/T75Onb188vb8+/TWqscWz+XtSBFSbGV/fR2+P3P55v1BNl UOx4qb8htn57jDDNv6IM5jshX7l7OAUQO8wlDGWOzJIarBEb8QH2v9VFpTYksvcFvj7enr4M DHwJcNZhWOgdAh8hw4QJhj6XOT0PsvQuBdVxRlKKe16dZE9Civx//oaAjEDRKgK9N9xR8sOQ 7MkOEJr6GHTCg9OgXojr8eiuSITz7FevTL/LLiw4XDz0m6cXt88MhUkgH44c3E0aur+S83x4 pe8Xcww3WA2zYhA5Yg9Q5T5ikCltZ/JH567HEB3h5/B3ffAZlAjcxf7EgGEKzsgM+Nfqv50D K3oOrMg5gKup3RzAwlKcT7vq7aO60Or7ihr7lRkVWDPwjLEb9hj6X2c1+HlW1FivkMG2P0XI iHMUrF9GzLuCwOxVeiFhQi/xC5F4TrxhW4hwRwL26YO/DDx5DEVoZac4SKv1dD7Db25CzlJC UsUxw+/FRU6gApVBTERXz5f4K4IcB0XJ9xnVrFWcnXMiGFVwzqGvS1SQwbZT+5DrJffw4/nH 88vbH7/WkBIeok/NX7EtPnQNfV/ifWjpERG53DBA7OEggz51DDeiIC7jG7p3P4DQh+sv+QNt 3dMMW/zE3o0ibTwG+m6sB6H0IyF6LOpfjq+1tpIC95prR/ph9GOwfXbAD3YNx8PIWEKU3PBg Rg9/i2l42u2HP0guhntRH8KG64iJ++52vPve0WaJvT6+v7/8/vLUPwOqQ2rPwqyKINpA0OsI OEom0pCT15WaRx/LCTWoZonw/aIhHxe4VGzfIE+0lb9hIDbhpgVKxA0y9PHs+8OV05+/eQfh Qtqw6I0aR6zWNvfEzQDTlRmYOch35NRZExlhR7NY0u2VMJ5YTEMfomaBAPMxnpJfiEOLHoTA zVqhLyIg9gtOBXQTgQVg+wYZElEMCT1gkUGSE4bphkXkw29JCT/YtieQy2+4EWLgi2mGw3a0 EiaPtGgGhhOFMNEwDM3ouhWUx187VtHwWBpzHHGZ2cpdETlQASHD3HrCFMAGZQZJuZzrbqUO BhoUDW1JlvP0ZHw+cHXOKPKkWNZWHPJ6WU0mWqCnBMDOXg7smbqlnq3M4YgXcECC4/IQV8ok ZiYu7CD1ItKJYhyoAjcJSJ0mQls7qW3c4jHWUMzWDNQCsp3Ia+WC3G8fXHurlqN1fjfXe2By e36/ISplfih3nJ7pJcs1/jPJEBZZXiVZKvBAkX2QqKOoBrOoAfqe/ny+TYrH316+AXLl7dvT t1fH0SigtHNGLMgtERmhzlqXgjoERdWBEcDqZcGDBMEsrOlw/18cnZPkWUBqP9tCzKIdKP4z R1bHukiHiSVebHjXyfpBmJ48ziCb4zkoIB8imu2q4QYASNUInfRAxzzuwm2/NRrBpYEzBRYN iY7wNRdo3nzuyGT6rYaFFWGAhYG1DGdvn+sOYWKrOZDak4A1o+qVGDBVhhAKBpHq8FHjYWq1 dxqKspz22N5ss7Yh8oPvbFxXP3x9eXu/fX9+rb7cPiDvTjgKa9bSYx5KtNHIF0Jrl01kOBUY 7taonbGHGqQ0LQ1HrLMz6TSn066us1ClmFiNDsIWauZ30zm3UKT5sacBbYiY/UAQWX54vved 2C3TE+GvO6L8UJs5dqvWbMqQWQ7iyLtu7gBeicf9M4eSB7CZooN/1Qu75mgkbfj8r5en50no Oonq9KAvT3XxJPP9yY4mIcaex7lt83KKK+239OHX988vb79++Xb76/VHl8xUtaJMcvumqSlR u8TRhg82oHFxZrsw5oV5USSKREey6QRiHT06a/9Lu2ktq0hr2WY5DF7U3G45nAylbU0G0b7u WVQHLiPDDJgNZw16a/n7WYYrWB5hIU7oplGT+alw/ZVMuQ4cNs8quZxkhCe6ZgvkNWUNM701 y6u0EPFQljZzYH6ssQMxiW5zQZg1kSMTyKdjDLl+tyIWpbD3R7XXOA6P5ncl5g56VmCSCIeQ sS1ytVQgatQyExfdO79DIMdver5bU1n9kzbATe30yhiSMCYpcT09i7B54IVFm5QB/j5XFyHP O5582o2vlqxaGHdexJZu1DG7Qdw1CrOjz9fAzOlRCcstYf9smCJM2WRKo0uwKsE/XcpQjZbI F/MLbthomMOAbVa4c3fDckwI61jDwNR6M3fiSDMbptjB2LVLNUKNQVdfI5UDmlIWewC5/X4U WxrfWg/0CF1e8AC3hl4E+CDozwDaOQtPRGAweI+DFOBE5r/2FSNNLKT7Mc2x4ZRwLEqh7TfQ 0b1QEaqoHwWRvLw/WYu0k1Q8VRJKQt7sRXyazonOhsv58lKFeYZrjUoeJ1eIj0GpYpsowYkP dL4P0pJKsrSDaBeGG+hKESV6L8BfyeRmMZd3REyCEmZxJgEDFyJHfdnbHXaVlIzxk2OQh3Kj tK6AclKV8XwznS4GiHN8gTZfpFRMSwI8puHZ7mf398MsuqGbKS4v9glbLZa45SyUs9UaJ+Vg 7d0fcQ3uKLe1JaCKZLC5WxPto5aeHTDTy3zeLdC5L+BNlANXm0wyee+vHENRy3aOz6ea3sdH 9DmUFr1a3+OH5Jpls2AX3KhbM4iwrNabfc4l/l3Y9n427c1uk1b4+f8e3ycCDi4/vursbHXc 6O3749s79Hry+vL2PPlNLfiXv+C/1HIHDQCf23DjGoCGmFM+iBphmcAkaKkVIaM6hvKCc5yM TnlK3KAvczf+dnt+nSSCTf4xUWe3x5vqe/e9PRZQTYyy3dAkU8eSfvFJ7UT90q6iPUR/UUQG AUfIa0j+b3+1UN/ypnowSTosoJ9YJpOf/ZMDtK+trptObE8Yti6xRmQiiUF0bNTYLCfyzio2 75jWiA2dGsjLOx725ypkx6g3HesTNVMRUmckmeMuVgQi1DAPOAy1HZSpHzc46N3shrLa7okL Hf3OFvWAeIlRVKNWGdTdqNtvoNl/Uqvrz39Obo9/Pf9zwsJf1Jq2Apdb5cPFLNgXppQQaDU5 kyh4dltn0Ve3ZAH+5qGtarcv26FNYJhdQ3ed6YgzT0PXlDjb7Sg7hWaQDEzZcEDCJ0LZCKh3 bxJIQDiBj957Z8T6s8HlEPrvESYJeDfjLGqySyJ8wPAU+Vg16pAag+lwnKMOaKQZQ1yt1LRM hhprUFAAQaWzLkBXNaGEFE58nYQSAp8qXhQOaJEi1QefrhFQ+CnPQjTlJRBzfUCvHX6byNb3 yb9fbl8U/9svMoomb483JdAmL5BX9PfHJwu8QFcR7Fn/pVDYgu7jAwRsanDYbDXHd1dTkQ6w hOpoHiniOeY8omlR1MoH1Zcnv5NPP95v375OdNJuq4OdmhOquR0SuJb67Q+yJGwHpnEXqmnb xMhF0zhIk422ULN1Y66/mnDjE/WLwjOuJmhigl/jaBoRamPmhxKZgtifmrEfIhJrUBNP+H25 Jh7jge99otajISplVPY3uXx0gC2zBEy8GLvcMiQXZNuUFSVxSDbkUn2yQXq+Xt3j60AzsCRc 3Q3R5XJJnFRa+mKMjmvLHR1Xlg39Sif40gxqK8dXiabu83KxGqge6EPDA/TLHL/66hjwY56m i3I9n43RBxrwUWNpDzQgCQq1neCLRTMohYgNM4j0Y0D4TxgGub6/my2paZvFoS84THleCkrC aQYlA+fT+dDwg5RU1dMMcL0prwPTowiJCwUtKthsjoKw1tR9r08aALeAGJmBdyrZtSKOvfmQ +NLEISh3w1CIKCY8m/IhMaaJZ5Fus7QflpOL7Jdvb6//8UVZT35pgTGtPDwOZ0ais8FMooFR gekyMBNodcl850+AV9vrVnPj8vvj6+vnx6c/J79OXp//eHz6D4qy0eg6xMbaZQVxHyGTKtiY +I227uDkh9qqb9IBOzbxsAL4WUKyKSqclPCxrIlECpaaOPjo3ZJICxN2gfMUgz5XEVkLe+jf 3siESZOAuz9qoWMUV5z4Kc7moAF4FFEboCmiTINc7ilbZ2IS6yoN5iQghSV1KIK3kHjnisgL LCIKuiZqDdzmBtf6FiqPqhK+Hl7nJ15k/ggOfks9gHGAf0pFNHeSFDWKA89vyqZCuntiksDo 0w5P9Tjo/HG4CA2TkdyZbWQVYTmOjtILYTXGG875ZLbY3E1+il6+P5/Vn58xM2MkCg4OKXjd NVEdxiQqLsATAOR/bZqxUwUEDBDWk0zNgW1pLRATnQgmbItZCIehqnFbuqWodgBy2oItHzde PhyV8vppwFGUuLwXA/7mJSfswKrHpBfg6UJmoAqYROGRQAtSR+DMxulNdYI6z4cLSjQSbaH+ 416ElgT2nyqvTnqci0zKinBTOFE3RWmcUOirhR+QYeYauFZ09l4PiSp8eb99f/n8Awyj0oBL Bd+fvrzcnp8gl2Af0ZIDlHDqw+AYk1K1YJmHEKdxmBZseY8b0juGNQ56dMqKklBfymu+z9AL R6tFQRjkJXdhgE2Rhq6PvNWHVLDj7nLg5Wwxo5BWmofigIHYcXVCGQuWSSJ2tHu05F7uWcZT MWh8L+VYJ5Lgk1spT4P2U4496+bfTcL1bDYjbzJzmITU+cB87TRh1IoEoK/LjnCUaIh1lnZG rNy24UoCpaUNC2YTbQ80uxzGJHOMi0EZ491RBFxxAgLRBUWhPiUdftC07ah2ejQwGqRJEHIP YleJN8wgb9W4LbIg9Nbs9g4zFW3Ti5NDinlTslmTYpelVhp687vanz2wZaiO8EpISaf6rtHM QxnfptSw1M+w4CTsJHg2ac9j6aZwq4uqEv+8LRk/qbdkXOR15BPms2K3TEiWuYuWkAPsopYD 4a0fjq7wkHtroTzGwnOZms+mhOFHM+Nv5ncX3JhTnyur9R2RlyPZzKb4olNvW85XxIHWyJeL KBiarNHus49oEMZz4hromIYEkKhVHyS04c45dsvnoyPPP0HmTHRa8kvgqBNyTrilny5oxKdV VXT8KEp5RDbmKDl9nK1HNrO9m8Amn6FGEPuBY3DmLhiowMWF9ZCXK47P7Kw23E1yo39y/7eS Mu5NlNjhmqQqPxEgQRfqEXJT0hSqursp8ZAiEM9EyWyK+TTaQ7WeLy/OXPuYjEyB2u7n7A6n hAKGTEA/hasBfEEc0AknD1dnh4DfJDKw3TTVriDNnP4k8eWuIkIdNI08kSnqcpAqz4NkN4QP aa1ghQvndpDr9R0uq4C0nKlqcXvqQX5Sj14I65j90mvhLCf4PZsSOdYiHsTpyJJOA6Uyuqkj 6iJcB5HrxXo+surVf4sszVxY5TQioEKap9aLzRQRTMGFkp3zQx/rWz+S+6cfpIknEdr6oEZw D3m5RyVwdvBes68oIQApQSj5VoN88nTnJTffK61ciX+0wisHF+ZIjJxuHuJs55oYH+JgcSEc Ph9iX2uzSMRsUi+78LQin+NUEFTTwmMQg2Oo00ZVADGUeJVFMvodCw4HH2f7Xs8WG4bNNSCU WebzqqIqJ8RfQwfI3qo8C4hBG2RczwjIXmDQWU2Li86Hh/WrWM9WG3QCFjzlMpA4LXRhflfT u5H1WUD4X4FWJoNEaTmO94fUBy3vkIc8ye2sFDZBxIGj8Uu2mU8XWKiQ85Tr1iHkhoCdVqTZ ZqTHMovVCV/9cZadJOxOqhxiCtiYRUEmkiHiRyZsM2MbfCPguWBU2j+obzMjbvU08W5M9MpS 3/s5vSwTbQUc/YDH1JVJeX5NeEBcp6tJQjiCMwiITIntQ2CBSFYjSr4/lo6wNSUjT7lPAOy7 2twDCo3TMzn06zsJxw9G/awKpbgS9jkBPjBxxjzTcb/as/iUupiIpqQ6L6kp0TLgSR+tys1R B5mOQJjnI7YmeU2zXF7dMJczqy7xDgcOjMLQGfSQR8ReIw8RfihU5x0CwV9HBW/9i7lG5VG6 ah36Yt+IiSZJbqcb6TJRbgMUiDDfX2PhpMqJeQi3pJDrDqg9+2kixATKa9dE5CZQ5/Te42bw xghFM5Tr6eJCkrcsuVf7+RB9fT9Ery08JAMTLAjp5ilduRQpTQ8D9UkGqg9zUB3nw/S79TB9 dU/SI3Hh9OgLlsdHSZO1b/HlHFxJllgKsPhOZzNG81xKklYfvEbpSp2nefSZY5CcgR1hmAO0 e5LDZPsM6Jc8DD5eK2QDdK3J0HSlmwz2APZBmljy2ZTwawL7uBIsgtEvr321SPpFxCK9VDsl COYF/I3bnnK8AdKzjtXFEPhgYvKbu7vOwqVILChxLQWIh+BMWd+BnAOu9RG/8QR6UcbrGREr 0tEJ65uiq430fk2IfaCrPymBwAXkPZFEF2gi3+Mayzm2k3PCr+6CJ/GOAqpkjQelO8+Vzt0M JKUeSFNZ7pe4dVBT/BO8Td2Qz20OAHVOaFNFvJkRwTrq0dUBV9CCYrmc41bps4hXc8KVQ9Xo GZ26x1i6WF0wc4I7mIlrFNEFxLvuV2w5vcD3HqkVv53Au6fKB6JxtgVLJHXgBGKE6zt2a3rW +EAURLiXgMhwTPey62sMnt1ulJ/nlEYINCoDjzjHd5sVbmhXtMXmjqSdRYQp2X4zC3Wac04J GYT74OodLxLC2yJf3iExoh25EDJB4ffs5iCGzBjSVZeEL35D1G44EF2Ob5AwEMQ1c3KO15hB 1mkVD0XgiaFETfTpDDv52E8WgX8RUZTzC6oCO4/1LSBabBOOhIZ2j1SqKDopkuxVtZkTrkM1 lfDHrqkEZgpQ7+eLYJBKGNlMJ9Z88L0DVLUpDLwX+otDvANVqeCjX1I6RyP1s9qgfgL2Q9JF XDkTHqb2I+6x9xzP5kv8mhJIxDatSNQOfo598zjShk/XMOjpLJ9C1Xq8KUCazQrMtm5Xq89K PE2dc/hDmYJ0VmqN2hR7CQ/9c28RXIlcQzWDEohU8rEOoeYsBS4oGrWtgHQCuu298yJ/03mz zi+AoPJTPyHUz5PbN8X9PLl9abiQM+WZcmZKwDKO74H1PV9FZReQIQEedeonXxZvf/24keF4 DbSL/dMDgTFlUaRkY+ICLhkKeE4ZQASnWGowp4PBoLAOakBLAnVOvxw8+HHd3OP78/fXx7ff uvAZZzTr58EfjsISMywfsysO32/I/ORhODTFnuJoDWEP28V58sCv28yksmvrbMqUIpsvl2sc k8Bj2iBN7ljKwxZ/w4M62RJapsUznxHwEC1PWIPHFas1rmu0nPHhQEActCwlC1Z3M9yr2GZa 381GxiZO1gtCHXZ4FiM8ao3eL5a4ib9jIuROx5AXSgoO86T8XBL6UcsDQH8go0deVxv1R5jK 7BycCcfdjuuYjn+1ZF6V2ZHtKVfelvNSepX1F6ll4oOfVS7nSFEVxDbKX1e+vYZYMVyWqX/z HCPKaxrkYCcYJFYyMfbGHksdeoS+V0R8m2UHjKZh1zV8gaM7tnQew5ZIeDhbDeRwmhD4Acd6 m/5AAkVG+3/KrqS7bVxZ/xUv7130uyI1UYteUCAlISZIhqAGZ6Pjjt0dn5vEfZz0ed3//lWB gzjgA/0WGYT6iLEAFIAaWtAuEyxcdh20dgpSw/tWQ9JxIcGjQQUI8zyJTfEO0Fao5QZoilYI 8RDmdruOis7dBV0VVJCTJmEudGVyG213Tjec/SzbbikccKonqzdp1zANiSutZdwwc/vUuwEi ++1DCxDZtrA3uIXsd0D96YYogJpXD3EFDl9voKNMklgBe4kWZo6dyA1ui9Iyis/sutn+Ptvi SgUMu27lGV0AN+YcFoUEVrYtSIV7o9AyUXE2zMgKu7JRH7UNgfrIDVbKdD/ZBWcZ0Q836NMh Tg/HCVYJNQnQ9n2sxbAcdZxihUsOYrDxtDEhIHqLYpViRHDqFgGCrnVRMqcz8hRqXwoQfe+G OYTpOQR7aQd2v6UfUyDX9WwNq1ZT4jeRKduFSN1DvJpqUcRx52q0k8hGR3lclIO4m11EGK2D tV2u6cH4Nu+qgBfQLnJ79L0ZsGDt4sRDWeoca2KNsQ6dry444jUZ3Mt1cYdQ5fqAbG+6yDgG loY90D5M2I0m3gZ76IuYz8BtXhdXH+imG0PLYAzePzowmUgaHaDF28HplX5Yr+wzvIvbH9NP 7+i/+3Lne/56GohWzT5oemzNvLmegxk454+xaJ/vIukQ4HnBO7Kkg8DyPaOrlPY84K+sC4uT Xag5TOQ7sFjC6jFCGl+A7lMvt/u1Z38G6q0ycWq8hU4PXcSx25aXmf1o14Wa/xfsuPF90LOc 5pxcXoS0b5I9hohK86D+HpYwL3WZyjMtQdCBUU1liQz8e1AtzFoyPUaE9Gezac6ocNOTUMsk RjtrF1Z6PjDy6cPUDnic78EuwWr5jjbkerWcAQ8AXeCnuFz54ODfxRXZQVVblj0SWHUglX19 ryqVdk4PGERUgK0K0SNrfWk0v8yo8BKd9+trMqHzezvX1tVTYbBwFkQnJhwflgGs4VhktHmX Kbg5rPIpE1qHJkHS+MUtYxABqrn2Itk2rZEu4KX8YJdPmlvEc1woFIK+wjzEIfTxVSGE8mau Uo7mH+co7QJk4tjwyyWZOxlGKk35gCizdTVDKDbUeUQxjXbESgcRHRxcfBMVJ3+1WrLGHx9h J5FrJ7JQciygmVvQw+Pb0/8+vj3fyf9kd0OHXrzE3WRXi7veAcL8vMpgtvCHifT30LFvRRBl 4Is1ePmuILngeyHLClCRE7mtLqAGn6H4cBW1ts0cZDwsWfsKeSWosykEzOOI94h9qGKr00vx 5fHt8TPHCRx5YS7LTrDKU+d+X1S20FV86MSoCukusgHY0ogXSTa9UQ5nK/qWfN1KY29+Ix9T edkE17zsaypW7/0mGQwdnaE6nsx6r3MmFsqwg1qyeBBJGIEbVpVdwur1PkH2M4zgoGMlALDf O+x3sCaC43NDpoOrlZ5mnzJgxyE10Ly8HqIERMi67oEzXuPem+QFq6P7KD6puO+FIz7dD7xI Vy7Hnt9eHr+O7czr8eNHvweRpf3pToTAX86siVRSXrA1ZBwZLzE9Xu3iKu/evenWkHY8vLZ2 dUEjNu5VQoWgVCHthJHBX7coB4cbQFpcj8RumiNnWcgFyedSxTVmYS++jNMqILOFqsKU49kU JehL4w6efTqjISlNCFBEL/pRKXtDoYEuejd7vA63JZR+YDV07IKSXIP2KRmhCvJkH3F1+vr9 F6ZSimFv43rB4gGkzojHJRmcIfqI2inHOLHDhsNcP4CZW5O1ECnQmmwR3krqNVLxrkDEWNu4 iJDefY2qd8MPZbjnxr4DOgVje6zJrApg61GRixzvzUQm1iOWmCqDHQ5twX2ezJXky8MosYaa oE2PdtSor+HWJnLP8v4+WDVHsIHl7I0Qdr1H3ZL3cRbFNsKp5yvhVIS9ehXzzcou4fLbjhTI L3uWPuRjx8y1h67PFmlkvNMBoZP1ljgi2gIJxTcAsDOnc6CPhPK8CRVl3+LPIQj9kYtgPV/9 fd0j87KUDveQSDIlDk1yyPs34vybD4BAFS9M9+IQ890/M5J9Exf0JwcbfJyIJLMGWCGeHwrb F5kkD4N5UKlB+MKiQNKNJ8JO1DiFtusi3svuZs+p5tVYprusn8wXL2GvCiaVNiKo4kF0dbRt Akypw8qwi7V+QYMnX04Kk322vcVt4ya25xx2DD5wMZ6LO8qE0r+wY/Cbvzyb4k+VvfSQH8yW vgLhAho68DNp6CpaA7dtNZldvIB+otOXN+x1qcGtY0VU4OxMRPb+B87NRE3Nqxy4SeChkXq5 3OCOIvoK+ButyRvgSoLJyDViTRs8M5hBNP4AwahqoSwO6nl2/PPj5/O3u984Mk716d2/vhGn fP3n7vnbb89PT89Pd/+pUb+QYPH5y8uf/x7mTqcVuU+NJ3ynx+MhFmiuMyze+zM8crGKT3hk MqyhYoZdhNPVzC+hs35aqjIGTsSIXNltjHo8/pu2m+8kkxHmP9W0fHx6/PMnno6RzFit4Ahu hE1VqxhC1wTeWTOqyLZZuTt++nTNNIh3xrAyzPQ1PuGOKWX6MNQ5MJXOfn6hZtwa1mGp3sYq /vZns+vAPVC/b0sQscMQE7T5VdzFQZJwtJUWwqvoBAQJVhrYEOocHH0P1iiheT9qIv0cG4FU K3iu7z5/falCaIzFeP6QRBUOh3aPN9sOKokkCO3eAQ2FhLYmf7Cf0sefr2/jnabMqZ6vn/87 3nKJdPWWQXA1m3qzddXaqpVZ5B1rUKZxyR5r2RzKCA66DFXO/v86aquPT08vrMxKs8iU9uN/ er3RK4kFdXtLZSrKwn6646ajqH9n+xOcuQq+hieg/WuoyAa/onIMzOShxxCddId5UM4GlDAo tokFh8nbsKTzDmWv/TVQ3+9B7K3vQezLcgPRWyBOH9jbZQHpzffbj/4auZhoMPxYukZS9wBk r21TGwIFGxAaqcEkebAGD8wNhCq9IJnI3XC1nS/s2TRV3ofHfXxNSuFvFjYBaeTozCSQtGB/ Uquo9YJ5kGO95rSKemBbw5uQTSSHHvfHwv5wMELZO7KFResFeJLuQex6tzeI8mZA07WPsUtu fYxdTu1j7I83Pcx8sj4bH50SW0wJnVL3MVNlEWaFrh46mKloXQYz0YdarFcTY3EflDG6bG4g 3mwSswuVtzw4VrpblLGcztUKXc00Fd9CjxktJI9j+8RqIeUldzc+0quJ2Goc22yiByM24dYK XbdVILm8p6OVfU9r+3DtBbOlXTTsYgJ/B4LrtKDlfL0EwlODoVObcvffrtRlfCxD5EG5we2T pRfA68YW48+mMOvVDITVuCHcM+cgDysPHPpuQ7Gc4C0WXyc5XpaBfbtoAB8E2N0aAE2WwvMn GNA4dwf+mVqM2ZLca4HBbCbKKgXtk25uZ4zvTZa18H134w1mus4LH5if9DHuOrOssZoBK9ke yHNvJgazcm+AjNm4OYMDA06tKgYzn6zOajXBZAYzERzSYKbrPPfWEwykRD6f2vxLgdR92iFV 4HrrBlhPAiY4S63dzSWAe5gThcJV3gBTlQT2Uh3AVCWnJrQCPqk6gKlKbpb+fGq8CLOYWDYM xt3e6vLc3SLGLIC432DSUlzZk7OSOC5WAxUlzWd3FzBmPcFPhKHzm7uvGbMB2nq35u2C5Qac cRW8EKm/1odyYvIRYv73FEJM5OG4d21lIhV767l7mGIlvAU43HUwvjeNWZ2R8XFbaaXFYq3e B5qYNBVsO59YMUnAWq4uF5fbgx50gqsNBsS/ajFlqdcTGzhJqquJrTCMhOcHUTB51NPebEIU IMw68CfyoQEMJhhXpqEP1PS6EPha3ULm/uT+BHT5WsBBiYkNtVQ5cmHdg7gZ20DcXUcQFLm6 C5loMvuzE/lxUuQl3CpYuUX0U+n5E0fgUxn4EyfyczBfB577eMKYzXswIFR5D+MeCQNxMzpB knWwBArPfdQKBUe9oWg1OLhPghUo7qOc71DtfOMn13ec1Mv7mde/8agRZnMNO2oHdQI/CxX7 OGXFPM4+2+2q0EBXpX+dDcHNddkgmUP2sCUU++XrWvg29DqW03WfcYTcOGcN5p4CjA24C2VR 6SlZm2z7hPUrrziGku2T+hY6STIxDLc6+g7XygJ0tpMB7PDwCrwednG3RqGc/j9tYL/3RiHU iqoc7Jn8RBL2l5YacglW1/yeb8lV3nLVt2EWOhPXqNQNwM7vBJ0vZhd+oXj71tMp7ObGEFs+ w0qLgw1VY85hKQ5R1nOZ26Thp68WkWbn8CE72p4iWkylNnTdZhk7j+bpEFlL0w96N9a6OD/+ /Pzl6fWPsf+J2yTPdmWbjb2+UViyQYyVWLvFc2bwScqCNbmdoDpyiRsUnd10Pr/OLxPVCcXH I0fUQk0Ko1NlbY8RiVSsmuEErEkkggBzwxfgOuic3cJekVGq3orrTpa58N1NjY9F5myJ3K6p GExVobbP/HO4o9UBfriaz2ax3mJAzAIxpFK7HcRg7fk7Jx0SD7m7w6ronvBzc+j05pCenuCQ rWaOBtN40iaOyyX62l9gOslsmBmN10w6NMw9z1EDAs3X27Wj71g4RLRGUHEBgvXaSd+46Owk /5Orf65xTiesuXt4U7lhN7tw+KRYz7xgSK+1t+Qvvz3+eH66Lari8e2pHwxUyFxMrKXlQJel clykt5OZE8aeeX+lz9+ef758e3796+fd/pUW+++vQ5dS9Y6RFzE/7NP+w9u9ZQ/SbKaeaS23 Rq+40tN//f7y+cedfvn68vn1+9328fN///z6+L0Xplxb3WBshQq72bVwJoyao/76+vPl97++ f2b9AofTZbWLHIE8mIhjSTM51PM1OKTkSorKrxK4mOfvja+SGThsGkC0Wa49dbbrIpoqXHJ/ hi1NTSMKVgUCmiJczShkvobfM3npO4swENxPTAYvLi3ZfnKqycgK0pCTFGethMehLGDlDyXr XWkpcPGVKPfxGBb3RqkIqt0mubhKoKfCNKjf2EqnZjTEoTzjnq7AbGQwihuMcEj9jWEfwvTT VagMRvEhzD1J1SAiNpODIFcBeAm70TFzGPoKuBQwYxhevMUSXLTXgPV6Bc7eLSAAXl9rQLAB ls0tHWgatHRwj3ej2+9gDL1coWtAQ47Tne9twWs3I04yjwuj5AwhtGDb9TuYmIvdkuYg7qEi EnMUNt7QSz0KQjQALGeu/Pn7gTpiHyCW5RJcsTNdx8K9lmu5WK8uExgF/Toy9f4hIE7Eqw2L QXaJfntZzmYTZT9oAY7ATC7lNVTz+fLCZvghcEXEwCSfbxysznpOwB9gXUyiHHwSJgp4yWXL em8G1KOcZvemXAMIQBzwFgAeqhpAgNRdmqZR4x07nSkjANrcLWDjuTdDAtF6CG4my3OymM0d rEAAjsPj5hV2y7qeuzGJmi8dE65UjiX/dAkc23lYyE9ZGjo74ayChWNTIPLcc4stDFnOpiCb jf2WvYj3fKkEbp4K11rBfpiNvqbN9Hn/9vjnFxZiR7qx4b5nCko/+SBvXw6YBjwCGZqy+bSq KatFx+qFkkY+wDmxilIGC9DSPocNjTV3MRkZNDAt3u2kiK3Bjyp5ZF92LMJP+5BYaTtK4N2S pKyj/tVbdc6PRKwCtcdFlllKiIpObFb6wd5u5DXqe1Tm9Ii68XhxWvkYmNGoBPpYXQBtPcmO FXTtlbreK10bBvXrx+m7rZW027JFYHsvaiNmp7gw16u/erNZv2JJFkZX4uKI478rNtEYsTHP qufvn1+fnt/uXt/uvjx//ZP+x0YhvQMS51ZZRK1nwOVOA9Ey8YBtXwNJL/m1JGl+E9hXWMYV YRSDXZDJxP/EGaPmkCh896/wr6eX1zvxmr+9fn7+8eP17d/04/vvL3/89fbIB8FGv51nV/Ly 29vj2z93b3TSffneNxkkxtB2SZ1rkGbHUxzaHHmbZtJRZchvnMZuRg/WVWUIFGFeHov4GhdF NuCKip4p4yQUAvhuPi+LYS1OKOqWIarzfocHZa9CpOvG5GNkvwQ3A6btlyVmgu7DPQpIwHQh i+Korx9jIJAw5uMFl73NxMFm9M60nP3ZNPcS0cuPP78+/nOXP35//jqaAAZKjKnzLfX5Ay0q Hf8/IPttIaN93B+dKp+W0itZNi6n77ZvL09/PI8qUTn5lBf6zwVGTmHgQWpJf6HDAkPY9CcC NlNm/cBBMAxZbmtr39E83L09fnu+++2v33+n1SQa+gbZ9WJmNWuTWaks3UhLo1DsFLrTjZSW ZqXc9QwsKDEC8jCRzNvHKdauycdF0Z+dTJIiFmWvPCaILH+gmoYjgmRPndtEloP6MK2gRTqX lzhhfYHr9sFqmU84kvvtJTPBWjITUMl5kdHWH1/3cck/j6kK8zxmmS2279vcbhKF5D69xinJ DDaObmqZdR9SudvjHc0Iyr0f+pzhtF0j25sd7/B85wD0gXnQQnE/MoPrfE7f1vtmv0KlTEyn lJXvlzFPfmksbC23gTxuZsVBtcqV/ejHHz7Q2uAjG3ICIC8CTKKtk/odPPUwk+kSEqmfgZtz Hn3me/jlgHajxDs5GM4UmSOw/LKHRbi9jDObeJEHQ81yuViM5RkmT5Am18AQg2kBMMAgWhIH syXQ2TSMWxYZrK5DeOFxLh88oMJUUWEvgVANRAlPSKmbqUDK546NM1pAJOTJ+wfg/5Ro8wiI CsxUWRZlGeSVUxmsgE89nr20NcZ4HoSF3deRmZkwUxEWCgXgJLJxZAE7UGlxxI1Fcg+z2Jak pku5QGIT94UsyiNQH2BOa0JhQ8CW+hJPHRP4Sh9iEEWN+/OYXe+9Dbh5NfyjcuCRxXTOwLNn TWrX7msiombT7fncomSRhFrXsTideXSBt6X+Rt/HaVz0w1ffiMZIyFr/GyZXwWbhXc8JsAK6 IXVIJ0b7gtMpMsqDACgfD1DgqqrTf2qOVPc7oNPSn60Tu8bdDbaNVh644O5UqxAXkYKgMXsS 5UOrEHOITBj4ai99/f7j9Svtr7VgW+2z49sSPs6LkQ83kjuztFIqIfE6SxKu2xSd+PRT/Otq 0aurDcfiAgfiThtlGJLKGsUrmxx/VOphXMleMv2bHFWqfw1mdnqRnfWv/rLdXYtQxdvjjtUf RjlbiI3Xq7wgga/oi70WdJGVI0WqZtZl+56Qxr/ZKuh4IXEqBS9aN8xIzhhDRHIsfb9zO6Wz Y9p3ecUJ10zr0e1bA0i7vsPSqPI600/KheonHM5R1zkgJ+n442jN4PQPPXZqUhoflf2wPLqq Kl/C2GvKNbFV8FA0ib282Ks4v+/RbpQVVl9sabtcmnjvYS4HLS8ycd3pfuKJ3304sAYRd3pY 6I0q0xK4CuS6Dc3Su1mokIPX90uNFJ2n9sR9o34/sh5WYRkOnhbj5Lqzmmk4rD9DlASxKcwI 5cncnEgJ6QItbKBug8YxVKsh1kCXmb/hJkEqndcz/C3t/s52qTIP7XeTVbdULt+81RKpkHMe +XGg1d1rmRw2Noy8IADK8aZBeo4sHisydKJV0eVygYwKmK7lAXnkYHIpJfI015LNyRBYhzLo GCDRvyEjM8qajGxCmXwGmvpM+1TO58h8gehb9hcOqSKceeD21ZCVRA+vhvkvD/sY2I3w13rh A38QNXmFrCHSWkEG90mlPxMekXqBwZSXHa59FBZJ6BiUvbHogOQkfHB+XmUPDDWa7DG5yh7T aWcFZg5MBCdbpsXikM2BkmHK2h2RBH5vbmRHn1eA6MNkDnjkmywwgnZOb3aPWaumO1fuGuMo JNXeHPk4aOmOSmhvM8cTk8nIUJfIO4WCORhBIHJsHkzEKxVJLh4KnNDSHYxnntuCC+6XBoCr cJ8Ve8931CHJEszAyWW1WC2QxT9zfxizx3hgMGOmxwV6zSRyqnzgfq7a3S4HYJZC1ELmpQTH fkNXMQhMUFM3uGRDBToi1dYN9AsMUer1DBmPMz1LpTjJraNfXZcoleARBtC+7Uaf2EnN5UUG orAbwAVa7hP1Qe1siqyH6BfziNfx4GxmSjgQsKNw6LC0SW7OAoOpFl6LuEpwzMewibqA4uA0 sJyVYM0rKzJ9qoGC+lA0cZbfgXREcusDtdxzwALg1bgHRe/1fRQf4d8Bc9yPD4BZGl/QnfYA +n+UXdty4ziPfhVXX81U7czfdk7Obs2FLFEW2zpFomynb1SZtDvj6k6cyqF2+u0XACWZlAg5 ezHTMfGJ4gECQRAEvP71sBHgyGdpAMmF40PDePaZCyLQABv7EqNER23QLrTEim4T87mP6UVe btlNHxb360N+iTO/M2sY9Kpc9JmbkpSNKliIqLzpyEJFiHI74zczlKXGkx6/Uus6prMZz5QI uQy5fFktIpIhd1mOVGU/YM9Z2iryjLmqeaRH4wgF/MtG9m9Baw92Yc544LQCYXDiwX58m1PW AH7hCmgyfebSJq0BHDdu55dW2DD4pus4F0P20MJWBkOzXGTHKIefx5BvqhDpUkWOlwOs8Dbm g1XkPNPF+o4WW30n4Hl3j9HN8YFBAH/Ee+dNHlGrVZ7vV3yiKo0onHF6iYaG4UGVWMhkdyI6 l3GPiBV+tszrFiJeyXQwsEJleR2GzEPo6FQYFhNdJuHXbb8mEC+lN9LyvMgCiflyWMRQZJrE Li2t9QzM+TJLC1m6P1aECHRxcrMykWPBhfzWZJefF1G+Qm/67VmKZCEZB2iih4zPAxKjjF2j 6Vl1OT/jBxhaM86Mq1t+kCofPTuY+wlA34D6YFuSzIbdFq2LmPWQxBuRzDNSDXhfbWQaOc/+ dffSUsK3P3xN7PMXwInOnKpoWpqtuRnGIXF99215zWxeLQz8yF0D1wHCsGcSl0WVLGKRe8GM Y1xELa/PP7u/XKRuIoFeH3bl2DA6cqW8v2zbE+82jHv+ZyZZ4m2eLFS2XEgyTHU7/CQwL5Ac 58xUuYLaakohl/0aYU10JjUhMQMKHwitOCsMK75R6BgRV+I/i6y8+DbdDh4DMRj7PGvlmPG6 wM0SL/LoSMW9D0JygeevzB6R6Jnve8w1UYmZ0yU/UE1adXsOy55gx99jwpMCF7IJgAihkA9h sRWu4wZCVGkeVwPJXnABkFHgoNebVzL6NVWKSYu+ZLdYMwtSkv30QdiVQgz0EBWBCOIFuIpg Z6L0WQUvalFPqXPGoUIL27EVaSMlm2wO6VsJ7MxSv4oiGx2Ur7cBaC2MBwkNLcXUqCMmrjYp InE+vMmPF2uc+p5WuAObE3OzoEHow7FjpgKrsq4BlAPBqflhNVnkg0IqlYpF42tmv+boK2AU 6rBHdhkleYu8so58u6U2zEqTRM+lKQgbX9Sp2DTng2Xbq2T/er/7ibdRD++vNGCHZ/QafrUH q43T0ZwlWzovktlDPguWKfcuv6HVmwikRywZ31lEwcJaoq1niUGH8XKv27MRob1owli0oZFd eMOgL8QpmGHCP2aYcMR9oOcvr7afP+McsK3c4oz3AAZZNOR+86i8QMdN4PRacR0jmFI4myVo yz2mJWrvlMt86XjuAJqJLab1jPLRLsoyn04vtycxZ5ezUUwI8w5vGxmt7DhajlJXV7Oxrhq4 ipmHMp5Pp6OtLube5eXF9dUoCFtAAcyT3oLacVwTYMT/effqTDag87VzzafDbfvAnZg84KdW 2e7ROk42SPb/nlC/VVagX9233fPu6dvr5PA0Kf1STv5+f5ss4hWlayqDyePdr/ZOwd3P18Pk 793kabf7tvv2PxMMcm/WFO1+Pk++H14mj4eX3WT/9P1gi5UGN5gAXTwSNt5EjRkardo85YVM knkTF8JSz62GJk6WAefGb8Lgb0ZhMlFlEBRMhLY+jLmiZsK+VJiiPTv9Wi/2qsCt05iwLBW8 Om0CV16RnK6u2VnXMCFMHg0TLVIYxMXljDny13Y+9+IvH+8e9k8PrgxZtEQEPneFm8i46xjh LJnz1+noeZICAeMCTevmhrmB3xC53KULCnmPKWtHhe+V7ZHXDQul1GPkjfaxcD5m6wrM8yKR TMyDhspEpSdZF1Sqcu9NdNPWpeDlQSEzzu9Uqw7LTLG7dkKMCPOWZf3bK58J2qBhFPiKn5WA 3wfTcqgCWYvYc+vCNEZorgtgdmPPbbemkZIl/LNmXNSpr3xXMVWtD1riomAvklJXso1XwJjz iP7lwJ4+Ugql18dQbvHu1wgro5tm6M5UiYBbeJpnG/GVRnbLcyWqW/Dv7GK65cVRVIKCC3+c XTCBJ03Q+SUTqpbGHhPzwfSBCjs6RH7kZeVK3Do/xvyfX6/7+7ufk/julzv/EukIkZtJ0izX mqovpNvfqlPgmAMUpC+9YMkY9dVtzsReadR40uJ5gR7nks1gVG2YeAlcpAiRlEo6s/Hhjgj3 FEflknYY5H5t2ci60npgp7JBiwKZNUVZgYmZMZOgbQykKUIDoWPKqAYvd9/7IyJdb3cLuZbO xTQneu571xfMcaKuAOMouHm3oV9cMAFRj3T3B9LRmQWioc+5YBQtnXM0byZJrLM68aT7QO44 CEzIhg5wyURM0LMczLiA1URvgtuU55yGqDeyvofhIUYAsX9xPWXcFjp+uHDHpCZ6pnot6LEf aed//9w//fht+jsJlmK5mDT26/cnvCjtOKqa/HY0Tf0+YOAFpeDm24RXdXkqxhObL4bJ57BN 6mX/8GAdlZkGgeEX21oK+MRiFgzUXFZrtoCw/rq1QgsVCa9QC8Fo/xbUefPPDfXHxEML8nwl 15K5W2V3pbHs2OY3GvH98xtmOHudvOlhP7JEunv7vv+Jef/u6ar55Decnbe7l4fd25AfulkA xaKUnJeO3UkPJsytvVi43AN2ccI83xcYN03G3DBI+H8qF17qsjyIwPNhf5KhVav0i8qwsRFp YLTD0h5GXyjWUUZN1iQi53veENFTo07sQLO6TRgKw9mflnzFeFoRXbD5xxryxWyELOez+dWF 202oBVxfMZJVA844L4aGzAlMTRZn01HAlnFq1E9fcLFZNPmK3c11nWdWHqIX89nlaP0X412/ 4JI2Na3reaE3xEL56ON/ZD0swNwAl/PpfEgZaDZYGPkqK29dpyVIBYrKIt+upylsr5t8enm7 //zJrpXjcKSla1DKWhs0FEz2bSQAQ7YjEBbSsPuC+uV4+cNR3LvRYpbXlRR1/26L3epiPdDK O/s/ttShtrXPeYvFxVfBHLMcQds5c/mwhQQlqN1utcCEMJH2DcjllVtHaSEY+vea4boWU5QX /tmJemQZw3fp/vRsDOMd2YK2AHGbt1oE5fhgFEwLw8VWtEBnHwF9BMOEaOsG+nyqmIw3LWRx czZzKxUtogTV/5rJ8dViwuSMy+DVTSjwH+N5aEAumNsRZi1MaMAWIpKzz0xajq6W9Xxub6e1 d1Que9+a+S1jnm30CMu765eIxwSsH/hGg/Jsxux/jAmdTU82HPp2bRvodMjbn3dvoFM/8u3H x/0kG0jh5pudMdHgDMgFE5bAhFyMMyQKh/kFJh6UsVs9MpBXzI7yCJmdM/aOjnfVanqlvHER kZzP1YneI4QJTWtCLtym9A5SJpezE51a3JxzW7yOCfILn9mrthBkk+H+6/D0B6rxJ1g1VPBX 71PtfBjL3dMrbN1OVGGcnuMeyLEaB4l3PBLunj+WMlmdATCMdIPXI0W6tGLXYFlz55+sIamI S5uKAV3Nd+NpTuHBHC0D5ixB764lkBlVGDMQcA/f+BmGC8I3J8vEvRc5YlwjtsG6/da7+Thm utxZYftMz/2/oUZlheQuOhK81tcZs8059crb1K/Vlu1ZgM7xDs0FyhdVODzYp/pCabuElhsq d++pqu2o5Znxxsbpb2+aDhq33r9As1w8jI/JjI2u2pCTxOHkm+zvXw6vh+9vk+jX8+7lj/Xk 4X33+uby3Yhuc4EqX+nnbKJI5S2lMzkIZeBoDplrx2fk+aKIArczE/rV1rGXK+a6LCVGPUUv k2zOHWERoFgoJjJL9UUq4LuRN7QQSijD5GyA5SOri3AlY7dKHeW0E2eJG1mIGDbqTnpSyrH2 webfo6tBYyAMHOeNDiR5nI3Q8Zgt94IxCFrCVohhg1N3KVYDL3d3Vgu1RKRxtnGwmhAibztq sRiy0egoUsKiDePbhl5nyitGO5eVkVx49UKNTXSLirj+UTP8JHeLFt17cnJecxYijVlzHN2s CqPDmycjIVAxek2hmIsc2ndxlE/oDZm3UgVnfW5ruWH0bzrcq5cJcwiq31AwR0aNzRndEKEk FT6TjmPNG82OgySZeSqrAu+p4Nb7rF5USo2nL6pSqdi6knhb+3k86qeDbUEznMnyflRkieie ctkt/HiFu/04y1aVESQjwutKQMPbRrlnXk7S/nZIO4Z0eXw8PMFCfLj/oaOp/e/h5YcVMbN7 pi7lxRlzyd9A+YEvrpgr7SasxKs+MDSngCkTGcCA5Fu3rmBCpM9siKINbKxAHtlHZ3oIaFjK w/uLlWPiOPxlQRazizNjjOOVWKt+Kf2s8SUWcgF80SKP34dKkKskc5Eo0oZ+kDInAImqmBt1 LUIxwTdFE/sElAIm6Dt8+4vMdQNHwpBXhuFYB1bePe1e9vcTIk7yu4cd2dwnpcPLVMs3Avan o9g9Ht52zy+He+duQKD7LlrLhg8+P74+OJ/JQQFvlKzh/hxq+q389fq2e5xk8I38s3/+ffKK 50TfoS9Hx0kdePbx5+EBisuDuVUh0uLlcPft/vDoou3/TLau8pv3u5/wSP8ZQ0KlW1mXhcdc 481Ah3ZPXU46XFgwF/PFFuWqe9JhgAvmlIFRilPlPsReg2TjDr7zzTD2qCxuKICxIzI3hrBF p1xvW6fFX1PjM2oo67NaMikXZY4RgriGFAKdN+CHwihTzNFa6HA2RH+E8v3vV2Idc9aa63Gs w8LCT+oVRl9HPw0WBeUo8erZPE3IF+M0Cutzoyj1nueWsIntt6b7tntBw8/dE0hEWDn2bwdH ALDCszYIKqrSAIMVxcNtm/f07eWw/2ZtAdOgyJyO5oG3PYrP1rpu7GDcH4MWKcrtzhDmy2GO obCUrl0UFg+g+5dHCjrqcKQWgTP2bRsbF5qfeJaa22xmmIjIfrDwXGpAkEj7ZifeDR1k/TNp vpdS2iyZijqFBVKEsg69LiLbceTQMxY0xhDdl1K3M1W4qf1wOXzfkemzbAn6HhuuHF4++U38 +7Z7et3jotCNaBc3+XdjoWiHFlq89swIsVgiSuuwEkqKKsWVrO4NtO7wqp0D107EeHhTYJxd ++Qd6Rh+WEcKaKUEUxF8YGUFY6DBdgtbGmYeXDWpiPwy6r+L9aFCImqBuaci+F/RczugIVa7 h5e7yfd2YPV60i414R4GXcsq08rlA39A1/Fqlz5lNmLZlbhA90Z0q2Y1wwFAO6ud3AiUcyvq GRVUpcC4xVRnjwSvzrMSQ2X78ZBUCr8qpLrtNey8Fqlf3OZsGlLCcCd5XxbBzKwQf7NgaESy oKGzDN9CwrQAjRmgLzxpy5OWYckO+UKNvC6V8cij4Yx/EiiB81Y8Ny+oBfb8ApqyeoHacJ3l Lr5Aex1py9K8SZfAyoDemrd9utk+91R39C7EeMvn/QKpC8h/x6ra0wRHrTdVpowwJvSzToUi F0i6vhD2sunSrYYGCEIxlUy2Z43gmE1TVSGsum/CRNVrV2g4TZn1WuorY8a8SmVh2XyTho0M v0g3S2CuCkzf7Mgx69/d/2P7o4clfRtDZPAH7Hb/E6wDEkcDaSTL7Pry8rMlKr5ksRSGuP8K ILvZVRC6mhVk5X9CT/0nVe6XAc16UVLCE1bJug/B362PETq1oJX1r/OzKxddZpidBFTLvz7t Xw/z+cX1H9NPJp8doZUK3WdJqRp8o1o7e929fzuApHd0axBhkgpWdvgSKlsnjkJMYWVyChVi P/EOmlRZYfN3holFZBwUzjQKK1GkVrBL2/dBJfngp0u+aMLWU8pYVKNqCZ/ewqygKaLmWjYW +mcwlMeVFVQMHLLHjhVAIyLhg54hIrG4LSvQC5aXnV4wQgt5miB5xlEj/kEg4Y1UdokYaeti pDk8yYftKEMqQbEpI4a4HlnkEpnCrHOyJxnpfc7TbtLt+Sj1kqcWYy/N8ToPc75yW665xyqO BWERwYxNPZZriaEtlfC3Kd3p91n/t/0FUdm5ycZYUm6YHaGG167Fha50prYARjguHY2PYJA6 +9iAUCbAPg1AvSpcm6hlQfZZ2E1nxp1J1Aj6P3X3jHdB/4eOjUjo30Yuq7TI/f7vemm7ljWl /C0+X+QR+8VITkXzc/aZLPB4OcIxknkeDT+6cFaf3t++zz+ZlHb9qmH9smbCpF2duT1HbNCV 24fBAs2ZG289kNt80QN96HUfaDjnAdkDuU3hPdBHGs74XvVAbi+AHugjQ3DpNs73QG7nEgt0 ffaBmq4/MsHXjHHeBp1/oE1zxmEQQaAhor5VM0qVWc2Uu4nZR7lkIWK80pfS/uba10/7n1VL 4MegRfCM0iJO955nkRbBz2qL4D+iFsFPVTcMpzszPd2bKd+dVSbntdts25HdtjYkoycLLPbM LcUW4YtYMRbYIwS2gBWTc6UDFZmn5KmX3RYyjk+8bumJkxDYMrq9MFuE9PF+ptvi12HSijmj sobvVKdUVaykMygSInAL1B4jrXYvT7ufk3/u7n/snx6OOxtFyoAsbsLYW5b9w6fnl/3T2w/y nPz2uHt9GLoI6QD6dORlnpXqtAsxWi/XqJg0K2a3qUtEWaIQGCDODUUataKm/kBwPkVtZBG3 F5p/eHyGDd0fb/vH3QR21Pc/Xqk397r8xeiQYUnG/JUyDd1c16TIQNMDQPNC+J4SzhsiGphU pcKgdebxJeWooCr+mn6eGX0uVSFzkH8J6LwJo0QLL6CKAeXWiFNQCTFvcrLIYkbXpjv7m9S2 d1r9t/aAAm2vZdeL3lCVwkebEe7wEgwB66izD9HDl6XxbX9Q8mwQtKJpUFYAp26ERwlL+rec Wr7CSGK4XyhuTNtXV9iZB/Tk/PX536kLpe+4G5YuaoHWsrvAOLvHw8uvSbD7+/3hQX9T9viK rcL4cFzWTqoSgRTVlJ8mGBD0YWKsXMdqgDHcfmQaUmQY3oK3hWtUtvgCM8XsQ+Nq0cKYuPmI wGw4zrhaOhIsDWQikhgmcjjJLYVlS6jdX8Gep2eN0MS1y0GkC4rUYLSrqePhYd4pi66PcEEu 2LkFmwnQHIlnJe7B07BILqNEuFppjA51EU2DYZxt+jzYJ/Y/xQiPewdWO+TRSXy4//H+rOVf dPf0YB+KZ6HCPV+VN6l1mGv7mBz4I7gmP0+EzkzKYy5Dbm5ADoA0CJjgzjn6IQGz1Znb1G3R 67UXV+IYY1gTcWHKKgw9fOwqxkTiU7sQFaW/sXvFMuJra/dKSM2QIg20dByZfGzKSoi89ynr u6voLNOJkslvr8/7J3Sgef2vyeP72+7fHfyxe7v/888/fx8uVYWCRUaJLRP9vOEMh6NOD3K6 ks1Gg+BLzzZ4ajaCpSOKEdlWABe35xBOBFWAoz7ykvYCZszFJj+2BV6DqYO6rNTuftJLgakp 1zArLI/jwKe4JsYg9cpkGlr3YFRglcZgfsBAw5SxfZmohTIrmOC/Jp3RUB6wsdIasSVPIcqx ZYdOdaRgArppjF8IjLsPy+nQ5F74FbN+EnMg2VXxyemBB1Eih+MIrhoDgiId5hGmq5Ujs6lJ H0wvFoobx52I/od00+gzBX9fu5ld4kjQJfCk2t0ZbGWUqTzW64MSriP1496hmTSdKBsk3Ret mznBzbHLKCaGN6b+rTsWLx4FGp+Cw3qY5XoYzWMIXAzDKtU64zh1WXh55Ma0W4OwnSaeWG+k ikCDWpb992hy4mM0VsqWYAZxJQie7hCLIJLU134lfvOgrsU4g6G6fdu1sUBBpfPXGafB6PNM eOtUF+cZWaOE5vvDURjgWycqBjicnXDA4b1pYWS7EEmuQBXRDWc8yIob0DrCsYr0EjsCiDbA fWOAZv6aOXI3RD9el6k3iInWbkUx4lGEYolOz9Ms7R1J63KMo4nfX9A8wKylHTyOx4Fatxj2 rm1VE3JPZnWPw1fwioVoBv9YXLmLe6WDsVMeCMqcF6Z4w4ag7imCBaYLwMGPP3049QIkSZRw GW2NT+P/gTzZft1NAfoj6u90YORSNpsM4hg8cnp2fU5X0wa7AbyulkvGGlG8P5EhQu1e33or XrwKGBc8ioCFqzTo6EziBYKwVM0MZV2CQqxu+WFYHIU0aDUja+cC3SZ4Ou3fcTDHYbBA48LF 0rVqd3nu1LHsrkdiG1QJczmFxkYRQzSp0XncCoCKSe5FADJHubfZRF9IlTDnf0SvKuk2DBK1 gG1qRJepRvrKBZfSfMKE1dEvL8nbLncb0nT785HOoR8j9nAMMXRU7M0EuUKMtJG39DUz6SlY wNikDXoaEybRCey9efYnuwYFAcUbQEXF+7yVHiaAZo0cZHFYLQMrJw3+HrNOVAv4PvU3Kr/S 2mDdayjIZgYCugGmWZ1WzE0rQoxbQtD/t5Yl7c82dkxx/FZ81WBcZk2viG9bu6wVWxovO7aJ VdF4a16sMZ9yl9bBYmm7RZpEweRC7Lem3gYL94aTrmIqlBP8Ba8jxv2yUNb5UtUsoFHuXV5+ QfZ/jV3bTiM9DH4VtE9Ay2HLBReZQ9sscyKZKdCbUZetlkq7sGqLfnj7P04yh0zsKRICEX85 TuIktmNXal17wVytaCAJ5klFLGz7LKQUg/d7/SnXbsFYYHHolXEYJMYurOoYoRefds1Xnz/O zjthypCmpswEp5kFfDvFqfrkdOHRdGV94+mOQATKaBEjDKPFQK3o9bmxKus1seuzvX9pLQQT zLVYCgvatjBXnCOFRcyzhGcDM0tTqjpqEc9B7M065WOfynxRLRUvKuckqt/TwdZJtq7KHjg8 KfDk7ebhzvb5fb87fvqaHmC5TlVd1HBFgv2VsIeyeQllirbQiiMaogh1tFSDGpuILsRR2Zov qxNYLPX7E83GcFVEY+g8zPugfmvVyjLP71xZn4WgBiJtfmtyhGVszZEeqWg7LXIoV2tOiDKt weAezLpqFkXi9vrq6uLaYQMgnVVXvEhv9bDTGwEcG5gYejD86qTYCFjzyrwSVOAxsxtDMeDD 3JyvxkZIzWmIiY6MvaXo9aaX21cwVuY7IZERl1rPQ5cVgfoxL0YQbBXWjfCXwmjZr4jv1VG7 bAXR/qeVKSMksC1ELd38iQha12BYoXqfEpL3FgUvJgpOnGAa0BNDXVgAT1gMnwO0iRBnMWND l7weCuKrORsRJ/xSxKjipmHPyOTpccsBJmJYFLgh7PbbYftn9/r+0VpvaTaUN1ww3H/+O76d PYNT+rf92cv2zz/96MMBq7W1cGLRO8lTPz1mEZroQ9XNPuTFsi+iGVL8THAzQBN9qHCESG0a CuyFoB80nWwJo1p/VxQIGjwwIFVLJ0qgTY3wM5KlxmGEsU5LTVnGFkirbPoUqW7oiRTN2HAZ ffmQXvGL+WQ6S6vEI8ABHk3EWlLov3RbYHO5r+IqRvLqP/g5qumJDxl8pKpcqs0aKRz1KMPe jy/b1+PueXPc/jqLX59hQanzxNl/u+PLGTsc3p53mhRtjhtvYYVh6o9imGI9WzL1Mz0v8uRp cuF6hnORMr7nK6/UWOVWR7Q2hk+gX63/ffvV91rU1BWEXv6wFFirCIlnWyn+steSE4E7Mm8n AnHBsfTH8crVcQre5HlfbLk5vFAdT5nf86VJ9Go/0brVwAGS0U/vfm8PR79eEV5MsUoMwTxO HatM404C1IgmlMPHDldOziOORbZr5qdlv97nQmamt/qiyxEmE10hxaZczVxwB8NHh1ukkWI+ pxCEyW6HoEKKd4gL14nZYO0t2cSbQCpRFYt0TRGuiPDqHQK3f2zo6Si5XIjJzWgFD8WgBeZU sPv34nqxaPZwiXRDpdZoDMEe/WqGDQBQMn56erOsCjjq3MTSRXiJFB8k+cOcE8KGZsKrq2GS EMHsWowsR6c1AK7p5kXosM29fc7jYEu2ZqO7mWSJZNPRSW0h8AVGu2D3l9GiYkJG0dJFQXks ciG1lPH0VJNKIqZLQ37IT31cCxlW1BpM7reHg9qrHU82zSebg7Z3dPda45cXS54RThXb3LjV ckdeIi5KNq+/3v6eZe9/f273xmHK5oh3APyL12EhUGdtTSdFAJLirPJYlqYQG5+hUcL5Pkid GcYr9+r9wSHUNMiM1F2dOKVqtdOp+lugtCf0L4EFYaAzxMFdhu4ZtG1gV9VQHrDx1O/yI9Jk qQdbxFRA0h5oyedZ/f2GcD3eA85lojgXS9spo9V5cnSbhXwh5Y6pg9zD+9Tl7ObqIzxZHGDD C8oX+xB4TThlJypf4VoerPovQlUDVtjpiMmnNI1BFqcFeVrC+okQiypILEZWgQt7vDq/qcMY pFEcjK2tq4aeAvsulN9bm/KW2okqNd2ohmJc2AUSjRgC65r38atYmMo4EvYg3O6P4MdIXWAO OjzGYff7dXN831sTc8fA3jw9rEuIwmrEnMIxyfDp8vZb702zpcePpWD9QaDEOnkWMfE0rA9H m6KDRMeWkCUGtlAtXbxb9a5l1lyWr70w23crXMC5WuYSglLiO6GhQhRnaYOg2qePSGsCnkEf jTK2ubolu5/7zf7zbP/2fty99q8xAS9FDL5F3fDeraquoyN1GaFz3xi8MaKRpcjC4qmeizxt XB4gkCTOCKoairoqef95YUPSqtY5F0al7NOLkLd+RAakQXKr9JsziDQJga+LhLtSkFAxL7XF OEmTwck0rP0bkEPmZVXj8gl1xxqUpS5dI9oNC1D8IA6eZkhWQ6FOChrCxAN9UAEEpcdWVLJg IhAPD8yFlMo2w/giyEabb+ZoejVBfzXtmbQFoaUb49Hx4VyrBsLGCye37hPrVHue61LV6U1X KxynNZAKCkQ//RJNf1xD8vB/0Fp5adqJVuFjObu+9BKZSLG0clmlgUeQah/wyw3CH45q1KQS I9f1rV6seW9R9QiBIkxRSrJOGUp4XBP4nEi/9Fd5X69jSY7dTX+TlXnIFRfT7E6wnuIL2IJi F3E6TAINcu2wEW02kDoSWbB1yvK8GPqhcQDatTNuva91Jp0qocd9iqoWTu3RfZ//JrljWQH/ j83/LHGdXITJGjwWO3wlFxGxwqIIPySDcWORJ9h7kbTgTliVHELHxwu1w4re4FehnFrDpC5x nsMt0FfhQzrq7Afws4/ZoITZh8u+Jdj/JxxVh4Iju7zvxqbZMCR8Isb7r/qNeZNTsrGswob/ f/yF04C3vgEA --bg08WKrSYDhXBjb5--