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 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 479AFC433F5 for ; Sat, 16 Oct 2021 05:10:58 +0000 (UTC) Received: from alsa0.perex.cz (alsa0.perex.cz [77.48.224.243]) (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 BB44D61181 for ; Sat, 16 Oct 2021 05:10:56 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.4.1 mail.kernel.org BB44D61181 Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=pass smtp.mailfrom=alsa-project.org Received: from alsa1.perex.cz (alsa1.perex.cz [207.180.221.201]) (using TLSv1.2 with cipher AECDH-AES256-SHA (256/256 bits)) (No client certificate requested) by alsa0.perex.cz (Postfix) with ESMTPS id 57D911833; Sat, 16 Oct 2021 07:10:04 +0200 (CEST) DKIM-Filter: OpenDKIM Filter v2.11.0 alsa0.perex.cz 57D911833 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=alsa-project.org; s=default; t=1634361054; bh=eMrqFE3NCqOV+gbQ8LbKs40UDBNNwvwaABLTqCk3y20=; h=Date:From:To:Subject:References:In-Reply-To:Cc:List-Id: List-Unsubscribe:List-Archive:List-Post:List-Help:List-Subscribe: From; b=QXDcr7CmaYLk8EYG4PRf66vWiGj0ZFEYoYmin7Lw6KwPutZx/5/0SJqy6dBCzu+ZJ WU6cN/RgpDN6CCYe5RLI0Z6xPWNPvKfUuuTFzrz90YFP12qWNvE8wjUAgzwbKpbqYd UFF5UyJAwrP5GyHY7Gd7fwrlxbtgQTV9qmrJGLtU= Received: from alsa1.perex.cz (localhost.localdomain [127.0.0.1]) by alsa1.perex.cz (Postfix) with ESMTP id 84576F800E5; Sat, 16 Oct 2021 07:10:03 +0200 (CEST) Received: by alsa1.perex.cz (Postfix, from userid 50401) id 924A9F80212; Sat, 16 Oct 2021 07:10:00 +0200 (CEST) Received: from mga02.intel.com (mga02.intel.com [134.134.136.20]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by alsa1.perex.cz (Postfix) with ESMTPS id 6922CF80167 for ; Sat, 16 Oct 2021 07:09:50 +0200 (CEST) DKIM-Filter: OpenDKIM Filter v2.11.0 alsa1.perex.cz 6922CF80167 X-IronPort-AV: E=McAfee;i="6200,9189,10138"; a="215195608" X-IronPort-AV: E=Sophos;i="5.85,377,1624345200"; d="gz'50?scan'50,208,50";a="215195608" Received: from orsmga004.jf.intel.com ([10.7.209.38]) by orsmga101.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 15 Oct 2021 22:09:46 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.85,377,1624345200"; d="gz'50?scan'50,208,50";a="593180656" Received: from lkp-server02.sh.intel.com (HELO 08b2c502c3de) ([10.239.97.151]) by orsmga004.jf.intel.com with ESMTP; 15 Oct 2021 22:09:43 -0700 Received: from kbuild by 08b2c502c3de with local (Exim 4.92) (envelope-from ) id 1mbbx0-0008kN-MB; Sat, 16 Oct 2021 05:09:42 +0000 Date: Sat, 16 Oct 2021 13:09:09 +0800 From: kernel test robot To: Cezary Rojewski , alsa-devel@alsa-project.org Subject: Re: [PATCH 4/5] ALSA: hda: Simplify DMIC-in-NHLT check Message-ID: <202110161337.9axj2Teh-lkp@intel.com> References: <20211015164047.44492-5-cezary.rojewski@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="W/nzBZO5zC0uMSeA" Content-Disposition: inline In-Reply-To: <20211015164047.44492-5-cezary.rojewski@intel.com> User-Agent: Mutt/1.10.1 (2018-07-13) Cc: Cezary Rojewski , kbuild-all@lists.01.org, llvm@lists.linux.dev, pierre-louis.bossart@linux.intel.com, tiwai@suse.com, hdegoede@redhat.com, broonie@kernel.org, Amadeusz =?utf-8?B?U8WCYXdpxYRza2k=?= X-BeenThere: alsa-devel@alsa-project.org X-Mailman-Version: 2.1.15 Precedence: list List-Id: "Alsa-devel mailing list for ALSA developers - http://www.alsa-project.org" List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: alsa-devel-bounces@alsa-project.org Sender: "Alsa-devel" --W/nzBZO5zC0uMSeA Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Cezary, Thank you for the patch! Yet something to improve: [auto build test ERROR on broonie-sound/for-next] [also build test ERROR on tiwai-sound/for-next v5.15-rc5 next-20211015] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Cezary-Rojewski/ALSA-hda-New-NHLT-functions-and-cleanup/20211016-004154 base: https://git.kernel.org/pub/scm/linux/kernel/git/broonie/sound.git for-next config: riscv-randconfig-r042-20211016 (attached as .config) compiler: clang version 14.0.0 (https://github.com/llvm/llvm-project 6069a6a5049497a32a50a49661c2f4169078bdba) reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install riscv cross compiling tool for clang build # apt-get install binutils-riscv64-linux-gnu # https://github.com/0day-ci/linux/commit/2d319eabf52e504c98ef5c0fdd812347b41edd00 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Cezary-Rojewski/ALSA-hda-New-NHLT-functions-and-cleanup/20211016-004154 git checkout 2d319eabf52e504c98ef5c0fdd812347b41edd00 # save the attached .config to linux build tree mkdir build_dir COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross W=1 O=build_dir ARCH=riscv SHELL=/bin/bash sound/hda/ If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): In file included from sound/hda/intel-dsp-config.c:13: include/sound/intel-nhlt.h:159:6: warning: no previous prototype for function 'intel_nhlt_has_endpoint_type' [-Wmissing-prototypes] bool intel_nhlt_has_endpoint_type(struct acpi_table_nhlt *nhlt, u8 link_type) ^ include/sound/intel-nhlt.h:159:1: note: declare 'static' if the function is not intended to be used outside of this translation unit bool intel_nhlt_has_endpoint_type(struct acpi_table_nhlt *nhlt, u8 link_type) ^ static include/sound/intel-nhlt.h:165:1: warning: no previous prototype for function 'intel_nhlt_get_endpoint_blob' [-Wmissing-prototypes] intel_nhlt_get_endpoint_blob(struct acpi_table_nhlt *nhlt, ^ include/sound/intel-nhlt.h:164:1: note: declare 'static' if the function is not intended to be used outside of this translation unit struct nhlt_specific_cfg * ^ static >> sound/hda/intel-dsp-config.c:387:42: error: use of undeclared identifier 'NHLT_LINK_DMIC' if (intel_nhlt_has_endpoint_type(nhlt, NHLT_LINK_DMIC)) ^ >> sound/hda/intel-dsp-config.c:387:42: error: use of undeclared identifier 'NHLT_LINK_DMIC' >> sound/hda/intel-dsp-config.c:387:42: error: use of undeclared identifier 'NHLT_LINK_DMIC' 2 warnings and 3 errors generated. vim +/NHLT_LINK_DMIC +387 sound/hda/intel-dsp-config.c 379 380 static int snd_intel_dsp_check_dmic(struct pci_dev *pci) 381 { 382 struct acpi_table_nhlt *nhlt; 383 int ret = 0; 384 385 nhlt = intel_nhlt_init(); 386 if (nhlt) { > 387 if (intel_nhlt_has_endpoint_type(nhlt, NHLT_LINK_DMIC)) 388 ret = 1; 389 intel_nhlt_free(nhlt); 390 } 391 return ret; 392 } 393 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --W/nzBZO5zC0uMSeA Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICMBWamEAAy5jb25maWcAnDzLcuO2svvzFapkkyySSLL8ure8gEhQQkQSDABKsjcsjayZ 6B6P5ZLkSebvTzfAB0CCcs6dykzM7gbQQDf6BcA//uvHAXk/H75uzvvt5uXl++DL7nV33Jx3 z4PP+5fd/w5CPki5GtCQqV+BON6/vv/923F/2n4bXP86uv51+Mtxez1Y7I6vu5dBcHj9vP/y Du33h9d//fivgKcRmxVBUCypkIynhaJr9fDD9mXz+mXwbXc8Ad1gNPl1+Otw8NOX/fl/fvsN /v26Px4Px99eXr59Ld6Oh//bbc+DzeT+8/XV3c12d/NpeD963tzc7Da326vN6Pl+c31393x9 9Wm3/Xz78w/VqLNm2IehxQqTRRCTdPbwvQbiZ007mgzhT4UjEhvE8TJp6AHmJ47D7ogA0x2E TfvYonM7APbm0DuRSTHjilssuoiC5yrLlRfP0piltINKeZEJHrGYFlFaEKVEQ8LEH8WKi0UD meYsDhVLaKHIFJpILqzR1FxQAvNKIw7/AInEpiDwHwczrT8vg9Pu/P7WqMBU8AVNC9AAmWTW wClTBU2XBRGwLCxh6uFqXDPOkwzZVVTi2D8OSviKCsHFYH8avB7OOFC9rjwgcbWwP/zgzKWQ JFYWMKQRyWOlOfCA51yqlCT04YefXg+vu0ar5KNcsixoplAC8P+Bih0+iQrmxR85zanNbI0P BJeySGjCxSMKhARzL10uacymnvnOyZLCysEgJIf9iRyQOK4kAUIdnN4/nb6fzruvjSRmNKWC BVrmcs5XzUzamCKmSxr78cGcZa7+hDwhLHVhkiU+omLOqEC+H7udJ5IhZS+iM86cpCEoSdmz 0xTJIy4CGpYay+xdLzMiJC1b1IttTzKk03wWSVcou9fnweFza3V9S5SAHrGSPWuvaXkFoKoL yXPgzWhgZ7qaAtY/VbISqNp/BYvpk6liwQL2FgWpWV3Bjp8/4S5KeGpPEYAZjMFDFniUyrRi wHSrJ6cLNpsXgsoCTYTwr1CHXUdt6TSLit/1zPXk4NOZWT0U0pWa7R3GbViNkQlKk0wB59oU 1r1V8CWP81QR8ejdcSWVjTMsZflvanP69+AMcxtsgIHTeXM+DTbb7eH99bx//dKSCTQoSBBw GMvoXj0Eaoi2rw3aI4xMskYK8FHbp5BJtMuh7rJciX/AXW1agS8meUwU07qhZyeCfCB9ypU+ FoCzuYfPgq5Bi5SHaWmI7eYtEPgLqfsotd2D6oDykPrgSpCA1uyVK+HOpDYHC/ODZSAWtcB5 YIPnYCxAry2XzdGPgCbOWaQeRreNnrFULcC5RLRNc2Xrk6ZiaUjXngWr9rwM5mCq9M6vZCK3 f+6e3192x8Hn3eb8ftydNLicpwdbS3gmeJ5JW2jgaYKZ3xNpYjO+h78SnbHQWpESKMKE2IOU 4Ah20BMVl0YL6ZIFPZ7RUICWwu7wqVjFERWRZ/CESZ9lq8cFq27NY06DRcZBQGjQFBeOvTAi IbniurFP2x9lJKFTsBkBUeWO7MEVy7F3voLG5NHT9zRe4DJpFyGsAFJ/kwT6Nj4EA5ims7CY PTEfq4CZAmbcdASQ+MkVIIDWT/7G8RNvNZ04309SWUxOOVdFe8dBMMozsHvsiaJr1hLkIiFp 4Cx7m0zCD/61NzGX8w2WKaCZ0ukGWocGb0yWsyfQSUOA5Qsn5YyqBIxM0QRWLcl6/FKJj4zf t4w3l2xduksLqg2DHXZba0XjCNZPWJ1MCQQsUR5bU45ySKlan7BT7fhoSUtwkGTrYO64IZpx L/+SzVISR5Y4NeuRo946PIl8FkPOwdhYMQ/jju/jRS5aDq9GknDJYJbl0kpP59D1lAjB7Khq gbSPiexCCmIvVw3VS4n7TrGltcKoCtrD2lNfBHbOAqPTMKRha4lRk4s6YKvki0Dos1gmMLDt Y7JgNJxUVr5Mn7Pd8fPh+HXzut0N6LfdK/huAoY+QO8NoVTjkr1jabvmG7F2F/9wmKrDZWLG KHSAYvS22aGQnBEFed3CJ/6YTJ3dEudTr7BlzH2JDbYHMYsZrQIea48jDt1LzCSYbNhmPOnD zokIwbdaopLzPIogXcgI9K0XiIDJdyyIokkREkUwRWcRC6oYyfLmmEb7AzZtcLQ3kfbKu1lx RXw1ntqhvwC3tWwlCklCwMemYLghvwPHlj7cXcKTtRWb6P4KObWMQZJYAdSS6FZWxp1VkEkD gXXiUSSpehj+HQzNH4eFCPYQbElI4zEibfFvkqx+NI1poKocOOGhnW9qihUBBdQBEomLeQ4m OZ62O8mzjAuYfg6SmVJrS0jIqRcmQiyJuomWY3Lr7ItAxi3AZYP+gWv2EMg86ULnKwqJkTVI BDafEhE/wnfhmMRsZgorOseWD7UIMPiDgMHi18SBhwCU52W3LStrzQ7ikBqzAOJXyMjBy8RE REz4wyqklaDSS68vBeSSld6xii+dUasUaLA7HjfnjcOPo3JUCNw/JAajkVYGtvEaBttlxE5k umPo0bOXzRlt1+D8/W3XDKvVQCyvxsweqITeTJgvGNTKBjIJY10DaQxbjSCpLyaDPZbNHyWq 9GjmWrnEF3SpPKXdPMcsFCRxRVCJ+PT+9nY4YuU1S/LWBA259llZ4qQ6nla18mUOpbt2tt9x UovKpz0Vo+HQq0aAGl/3oq7cVk53Q8tnPj0gwIo7K2tVLIcjb+cLuqaBP18QRM6LMHcF0PZ7 TY6kCw4HIDu8oW5ZnjVIQl09bSqCNGJgR3LL6ADEcQegDeCHkjI6Y2s3h2oKFfaARpsPf0Hq Bo5482X3Ffxwl53MthhJO3UBCERLGDuHHlQQL5zvykiZSpnjzFd/gOVYUQFTA4fH0OeXftdX k+h0BQ7CUbS+aTkF4s1x++f+DJsbRPLL8+4NGnuXwMjWjYN/B0kX4OltbwG2XgFLCwrSALcS lVXjKq5ruwYdsy38UEHVJXKsYketzKKMstNApx26QA1Z2u80KIMHOzzA2g84zZnsOqWmoqsp 55wvWkhItzGpUmyW81x2XRAYIV28KyueXQKNxKgfVknlVlyrh8WTAki4FIseq9yySwANS5fd gwzBA6FbJ5l3aub0QCqRA9FqzpSO1tqkMsGAoCznt0UhKCwfxH7GxWMRjUoAeBKfUiR4wNBL pYNm7NIHx5SgHAYtjG9GPn30YT0JR0MmaYBB9QUUGBd0qZbOe5toXkFVFcjAiW3/ERzlwu06 eax4VUa1R0ElpGulFXXhFNY12lPfbFEkHFc4b+dRBpyEHtXChNgE/OzJu4RONHwpkm5F0TrI rEqrimchX6WmAQR/3Dlni2ElwNIHixXkFr6MSAf1euoe26lH47o2AeHsAsIjVIrVusWrh6Kb CDU7TsG+Vt7eLqDazWGv5WAZDE09KQxH7SzQl4+7QXiZhkLeUOWfxuwHfPnLp80JApV/G3f8 djx83r+Ymnlz/AJkJbt9IyHPmqw6zqxKM1WudWEkR2XwgDiL81nlDFu52gcOqg7NYOmwumJ7 Cx0JSEzAH6wIx6ywt6JhMLCXKJaR+ULb5eYIBKXgWw6ZjiwXl5qTX8i5WApfZRnZKyRIeiFp KESy8ihEkjC+mlaCo3/vtu/nzaeXnb4RMNClg7PloKcsjRKFm9MpXbkeG7+0+ay3GW7mTpm9 7EsGgmU+VS/xmHI6C9SAfVVUg8WqsMtQac5ryfdNVa9Dsvt6OH4fJBeitYvZbJUmJyTNiVtL rHNkg/OVE01jK5E3Y9hnOHVvMdifTOmdC5mUfJi0bJR2iP5zL8z2BUUd8Zc3EjYTrfFMMFK0 ylsLaTFbiVxb1ASUk4SheJgM728qipRCCAveVh9MLRLHrMYUIlwSzH32NNC16+ajDoOtdI74 z3EtvC7m+nsH1aNEPtQ1laeMc0uoT9PcqYg+XUU89hVEn6RVjmvBdOh64VhIFxAKBgprAqqm jhpWlazKCfvCdSpwUXEMx13N8kzfrLhkZjOF1oQGjNS3CkLMysl2uzudBsnhdX8+HFsmPCRJ W73K/dXXtsL3b7Gm95R2j2XD3bf9djcIj/tvTpnUxHCBfYTa+rCSoS7QytqbHQLZEW6Pae5X J8QTmSW9SFjTxCclGDaRLeY6Vx7snoo/ciYWPrXVU2ilg0E7iUUIUa2J04Ak7WEYX/aMkQnW Js6IZGH/3GHVTD2ER5G/U0PTxDrd9njUenkE60zpI0IqxviPv5bBFUYHSN7ROIRtD6/n4+EF T1+fa81zVoNAiLgkboXc5WKNdeR1ka58Rh+7iBT8O9KFE6drRcEQ9/crAiL0HaYPSKivYoX9 Y1vP1ZEaVW6Nj2b24cyD/q1SrHGQXuzyCvxtwvrxEFiAq4ov6IAuUPauopmomucpxCigK/2M OoS4hy6sOnhlXan9QDgVGc36iRIaMqLoBfWqKFBcVxf2gggSqXwHMaaXuryMTNeOYHfaf3ld bY47vRuCA/wgTTHSql9h+3DlWBkEVD21oJmJ6zzQqoHLeIXsX6WCrh9T3murC5asb/oXBnwf EaOrda8e63KTwpTwkjwbqguMQqYJGhuQrF/lG5JLHc2Z7N0VtPgDNvWFHQFmMyTF3QWdIkJB RHDzgQJXVJf0t1byUh/6KVmqIH2drfopFhQPhR8/6KeiusTVggnWEx0jGle36N0ssONkx2JS Y61H95MP2KvJLvG3hDQGQ+4P+oJsMMNrlh9TXByNxP24KL+dtI4BqkDvgm0wydThE3jM/Qui d23b0bJhfMqWlMV6p/czY+0NMHYTL1sXRjXDbiDD3+4MunHvp+qQpcNbAOkrRBmNhernzyG9 sHt/vx2PPrAmhqTdR3V29uEc6jK9P4ap4xv6+vx22L+61rygaaiPt1uBYwkt7/tE7bgyizq3 uCt4qqbeiTgs1Eyd/tqft3/+g9hLruA/poK5ap8ZWf3392YliOu4aEX79TAQQoX2TBPIlNrf RcxJWATMrRVCw1an5RR/2W6Oz4NPx/3zF/dA7pGmivi4CG9ux/fNqOxuPLwf21zgYFjBNSck 1hkkyVjIeAeAl0sDXcHE0ufVsI02J/mFWBdqXeh6kqcLSJ1pOmPu7dsai9mJ745ZPUKuj9M8 3BbBHCL7LjhBRoogpMsqQBGbt/0z4wNphOzRk6qtkuz61ncxsx4zk8V67ZsJNr25+6ApGKRx l2Ox1pgruwLVw3NzcLbflmnugLerTyTHmJqIR1RXqyxoqrdzGmf20YEDhrxNzZ1XEEuVZJFz uchAwBznqbOPQavSkGBZ3G+whBkoYiJZEUHNa4yO4kf749e/0F+8HMCAHZtZRSu9gWzWa5Cu fYR459aqPK6VIPVozsXIpp0+0jFT9xXbajoslwkqnfJwm9OqVXmGsHQri5Vs4pivHKx3sUzt PBTg8HyMlWi6FLRz7wvNa9myEBQPUSyNozPnKM58F2wcdGAyS1gHuBp1QFgj7nZoP76oOgR9 CVdMdNgp2JU1PNoLOQeJaXFGtrgRFWnfWZ25uqX67pYw5/vvp8GzLgw5ex4iXB1OYh2TiyL2 B8NTNSpI5r+zpnFrf4iN0WHM4KOIM39ybEJZts4m63VB/SNgjA445r8sLFmSYd0vabul5qBh zrq46haCtSzuzmvKZxoOCzWQ+gI9PutD/6ifFFjFOYbXBT9vMNg4Hs6H7eGlvdAySLBMxBUP uP88p6LRtw+sOlfJ7f+LCbf3rNN7tc0ri5TQxNkeWA52L/YgoFz3qEcpgmRyCxJNl4L46nsz zmf48q6yS99bCDQL+sK0cm/JlWi8ug8OnF9E1Z10aJZZWB/nRGzwE/37vHs97fGgoxZ/vZA/ d9N4vANDpX1RASEZgbnKIhKgrVHYQgo8801osQJ3lzlnPIitbyu0L9boW+O19U2VsKvtiIcI X+I5Ze0UmntlEesraIO9pMo8sVsUCVNs1rnUqXkO2NgIwCtjJCnf3Zgaa0K8W+y/WWLzsGv3 5bgZfK7IjNe333n0EHRcUtiJXmep7LERyndMESrLJvPI/hnzRdUO4gEMrg2aTX0BMmDx4ApP NZ2ezIGGF7Xg098dQPiYkoQ5XOnjI+OVG5jje3ikRS6W4E6cYzOD4LF7IxGg4C9F6w2GdSom MLjsxCzpMqFO2lqKw4GbdHd/2nqdUXg9vl4XkDv5tBbChOTRnVg2hyjDvu+sWJS0LkdpENii kXNUFMj7q7Gc9Fytw9PFuJDeZzPgemMuczCUuKIsoE4mM2c3k/FoeTMcIqe+m3/g6WPn+r92 bwGkiwH1vj0gWSjv74ZjElsiZjIe3w+HV86kNGzsu28oKZhEISE+j8fX19a9wwoxnY9ub52y eoXRw98PffnAPAlurq7HdqtQjm7u/I46C+YgsNx7wV24By3hqljrO+dYK+gpLdU5tnuzrSyk yzCi1i7Bw+4CMjPrwoeuXM3Zgj5C/Ov4t2Ds1W9KwXUnvuKHwYDWjCc+hTHYmM5IYN0QK8EJ Wd/c3V47ttdg7q+CnmJsScBCVdzdzzMqfcIpiSgdDfXLisYeu/OoT3ent6NhtXeatdDQvgTV whZESojjVXk5rTTkf29OYOZP5+P7V/2w4vQn2OXnwfm4eT3h6IOX/SsYcLAH+zf80bXy/3Vr O8PAswzMxjJ/yY4Gc94XuhRLf8FXaxGJA3yoFfhuUddq5p6sNmCjaZUGkilJSUEsSnzgZ7+S WmYkbZ24GpDOOPzbrCRocdhU/Wzjay7TB5KVEEu7q60JSLy7YWuQr0EdRubSuQ9hvlHN8QHZ w2h818LEfDYzt+HMM31K6WB0dT8Z/AR+fLeCvz93ucI7/W4WVUEKPreXvganXD7ac7g4juHk 9e393F0XK3XJ8q6VmG+Ozya6+Y0PsIlzIUbYaaL+RDllctyGxmzqgQqyaoNKRfcQAyhxnwqZ BiLwUUN6Z6CWA0A4h8wNkNKfoRsamacThp16PQ9SzDLDkN1/rlG+5IAktPU4pYQUqby+vvPA 44kHSJN8NFyMPJgouRuObG3wSa3WFJ8eGEUAe7TZnrFO2g1mlPI9l8A5k1iXPpyyFMsSzy9H 0FBdIkdv2Ibrba7LSU4U0ODwKqP3EoymMQ+OdQYuIuf2tkbbty8MQLKoBdK/0iPks+74mGK2 bjU0tllmeL9pEUhDPE38tYE0CxJMIj8kLDucKi9Zw9f0wpznq87juRpkHnsy7sTODXZKJlcj H8KUNZzwsMbh2yKv9lvNk3Uh0lng61qq5GrsQ1Qnbl2E/bC2AZsDYR8Gl98Hr05v/fMKAiW8 OteQrFk2B5vV9A0pMVaJksoHmJOCwdazvarAg+BD+7SYOI9oGujEDnEDMZ6s7d3e279deoSs xV8MA1Q7Pqy2fAB/s8S/MCrzFUJ0E/wVTG7OYqB2RxUhGwdFIK59Qb5NojOYTocaxQCSUjfd t/FpvuSq50Yk0umue7FLmCfWuNb+5LEaSKqrq6dsPMERPVOBKD5+xDtJQUzszLaCdyE6VfCA ufMbETQYgjDvCYURk8ilssoutt507b0JFGAKnQjFqSbjsk45aCf+iijHWKI09UV5n8VCpH6z +x/GrqXLbRxX/5Vaziz6jh7WazELWZJtdYm2YskuJRufmqSmO+emUzmVZG7Pv78AqQdJAXRv UjG/TyRF8QGQAHg1sxKXYRoq4ueXHyD8vvwJlcJ6FL9//kZWBtb9rVqGIcumqY77apWpxO3q qXT4l96/HRlNX2xCj1ZXJk5b5Fm08Zk3XRh/UlU4V+RCNqKiGYq2MYRUZ8voz49nPhjUwmyR TphLNDZisz8ZTspTItR8lmChsFmewP3l5XOMs9sD5Azpv79+/0Ef3RqZ134URnaJkBiHROJg J4oyiWK7QSE19X1670M2ST1Eh5JW4+UUknrcZwRV52BWoa3rYWMmHWUYqsCu1vFal3UOve3C ltzVIAFmEVM4oHHoWV+x7rJ4sIu61tTh8YjA9KV/TBU35+FfeFSgPtHD3/6Ab/flvw8vf/zr 5dMn0En/MbJ+ef36y0foaX83NAX5dVjjOglLEYaH+4z/Wvkw1HzOoM8GaRi5cJCNzifmfGZk PJ6OXION5nJmqxc491LTSZlf6yOpPEu0wkgb8hjCXBEtsGvyK4+ixIwmrzyhqFf1qvcggjQn 2kIIGdU+8LhpuhLVddWdlWjF9VWqceT8PAXi+1X6nznG6P7Q5Ghj6aAwpm9yoAo64IjCYEZv raXZZJxazg4Q4V8/bJKUklEQfKzENFdrqaBnBvS2i5zkUazl0T6OHLURfRIH/PgR1xjEdMfj A31mIKcspaMwb3rCTtzZb3oSOa1NS5C0fZbzaJHrPdt4qmVsiyU28JOD2nu2d4o0wrmu+U5w fgz5YruwCDY+7Rcv8YO0ZWuo/V01b4u+KuwX7dozP0syRmIKAn1pt7mDJzx+Ocag1gZPfFN1 74/vLqBT8uORt1Kf0du2ZYwhkOK0YtQJN1rzluub0xAcGU+Cm+bU5rr9TYaGr9DQtJljaKHV /Xqj/U8Qsb8+f8HF9x9KVHr+9PztB23dpibvE0yFt4tjwiqbIy/PFG0Q+9xEfT5tT/3u8uHD 7aR2QMyvhvH8LI1CVu/043cleY6voIkPdvVH6ZX/ZKu9gmVzihM2jaG0Xi1l0nhGQCF4qHI5 2pKu2um3zwgWBCVh/gtICmeIoStRc5G6SUxRHjtMuYm8M7y+yyczedmcvBYawuzot7XkHJg5 sGspUWU0C9JYQhmah3FCz3iSITpQjdHRFHQxknXoqNJaM24h/FwfyCjNou0ePn75rM5KCBvd FvVpGc7iUe5o0ecHCwvFEbKQMSr269tauelbqMLrx/9dK6EA3fwoTVVEx9mpe5K0q6/S07Q9 vMfovmjWcqx6jMKMEUXkDlzX56LFDc0fr1CdlwcYYDAxfPqMVk4wW8hiv/+PfoS0ro32niCG 9mdqscXXhjpo+8YqASSzrkfTwDE0c+TPYYpOu0mesx6pz+/M2MBqFNjCnxT8Vn6XJozGnExt 1wF1ZKrIhyT0lr0C5U/4x/O3b6CxyI+7UjnlcwkaY40mbWYdHFqMwnk1RsNvnd2zLFZ/SDIe PkMu2+p8ft+iPwu9WkoipbisGcO+cyhAisZ6BKkvo4zZV61VNG2X+D4Z4xTx8ilvt6unqtoh 5igGvTGptIce/3iM4KV3llmYZDvVmeymtlZhYM1TuXoAdAWO35xA67oWq0dAGfBTRm6YCGHg IohtGnekFbOCq+MHP0hWBYu2SDldQBF4XULhg6MfcZqEOh7DleH+x+fEeTU0LHnKQkvXo6P7 Ec/ocpFHZQAz52lL79AoGhdSbURPw3rmO+KiY23xWRRno8C8fBueGIOlaXItGA1S4rxsvsB+ Sm9wKka3SZkIYRJ3yu6SMbkyORhDGtE7ORKWHqI3cndb4SvxXSU37PjMRXnbyQ09a0iXfRhs bO3P9Fun1pl5T02mvvz5Ddb59fqTl20EgoK1mo2pVjh8hRxbK2mPrpAluR56VGow0KmrePhy COI2dcjOLRJO7GLaYpdGybr1+7YugtQ1X0PPyuyepUnNVlOqpX5Xupu4zDMviqwqoo5kJf2a Hz/cej2osEyet3DMOTnMNuEqMU3C9VtjchQ7+jK2fxIzcfVUg+YNSPauuTDqo5T281VTQhOk rN41TiuC8T9VH6YIozRj+0HfdvACaWy1iEzOfLul+3diWHEvxRZvRLFSn0Qa+saJJvG9Zx+x VT+whC3HWYASfnrnSiwaWODpmzrGfu8EQf1C7x8/5kcTerwiJ9isutG5BDHAp6ch4t3ly6Oy TrTJ+BSBSvj6+e3HT9AyHGJzvt/DEmYG0FVNBEurGcJonO9ZtZ4sbcpT+p/ISvm//N/nUe8X z9/NoMhP/qj4wp/+fNLmtwUpuwCmFr1iJsZYcmpZD9TprZ6J/ySokk1taUnv9rXer4kX1F+8 +/L8nxfzncfti0N1NstV6Z0y4dDfRAH4th61A2QyUv7h9IZh/DAU2r1c/JComcwjZoCAeSL1 IuYJ/RTMBHwO4GoVhiCaFeyLh5S7n86IvIHOOUmZSiapzxWXVh5lY2tS/IToQ2NfmXcjpBOM 9IRYKqElgqoaJoFxpqOjqBGyqqVN7GyfXoK3r0R9pA2nKLYxfGxE3tyQm5H9dc6pqJpTr37c rZg8vnUbdOn0pi+CLGIswDUezJSXJucOuEymfJm7vGm5vUucDJjutLHSGOhWVtjcKlxDn9kT jtG9CYOiGRuJKl8Nvfs2XRHQB1DodyGsgoznMfxd855OXUcOM9DDkxXUaiKVuSJqK+C425CX xW2b9zDJv9ezBTkvzYJIPUWNbCnryBCTenTWMdkqS3p9TmlzEWhDs0cLD1AgvJgyXBjrdcuL Ps02kWaaNiHFU+D50TodZ6vYWEF1hDwCNQg++yg9hCZKU+1Pt+pKS7cTqSPdkKbmAHR5H5Ef 8yVxldP2HXYyqpdNDPiOfmLY3VlIwCCBry0PU91AWYJPpS9JE1J3Lea2BmRH8ognUNWQOz1E uq5kTun2ptdSgGwiR4s2fRhHPvUsmkf5cUDtNmv19zdRQlS0rMZQtJISRzH58lJbouuNWBa6 ym6DWAZNWD/cx2FMK2ETRZ4hd2JLbTtMHOg/Gz8iPrQEMo8GgohoDQQS3SBKAyJVxqqKCEHn cFcwylKy/RCKGQ1oHktiG24SR/5ycQr8ZD0I9vllX6llc+MT8Kkpd3V3WCPnPvLCkKrxuYdJ jNat5wrDqhHSSt/ugsGFZK3YtWXK5lJ0vucFZLOVWZZFlLAmF4/lfeRPUIaMjWOVOJ43WruS ytvw+QdoRdSJ6uy4ViYbnyrfIBgS/YII3wuolcJkaL3QBGIOyBhAF8t1wNcnBA3Igg3hxZeX fTL4DLDxaf8+CdFdweDEjP+9zuFOPw0O3TNnzqH3XS6MKJdTb9gVuDFPAEN92+XHtfv08iSe SZFN0w+tu2Ew+EF7JW/9GxllFwdEddFPkqqtvS83pdfR4y0XW6qWGC93oFTXibBLfFAUd+tM EUiD3Z5CojCJOgLoQU2/9HlvmjVN8L6J/LSjTpQ0RuDp0XBnAOSonEwOiFRlKHdcI4f6EPsh 0eL1VuSm8q8hbUXP7zMFz7ZsmXfN6lPagmgi/FpsaB8pBYPkevaDgBymGMoaxA9n9s2pOICM whwBzSy51Lg6jGIQE88ImMbtBpjRlZeQ69WlgBQRAwKBwI+YXDdBcC/XYEMMJwnEXF0Bcg97 FMQC96dGSuwxO9wGyc8cbyAZMblIIZRRModGCP2EGgvodKymHyrXOA7p03eD4+zJkkH5mUsg S5iSobqZewURRRt6zPnr7ORexBFt6Tcz2i4IU1IVnAuqjrvA34piFlfWdTknMJfRKtjcm0R8 j5DcJbg7ERBcvQDglBgAIqV7v0gpRUGDqdEkUmqyEBnRASCVmM8hNSRToyDcMMCGmi0kQM4W bZEmlipDMDYB2TePfaH2lOuuJ+9an4lFD8OVeBcEkoSsGUBJ6rmlK+Rk5NbnzFCWyGQBXR4G 7nF1wssfUtsbi2jEXRoxrgit4AIwzU8/CVy0nRzduOf+ius8wptJ256xg18YZ0Ha+U04yKRE v4dkSoaD5PBP6jsAsPnTXUxBTsq818ssN4oKpnpiFFai8Dce0SEBCHwGiHG3i3gx0RWbRDiQ LCCrL9Ft6FytuuKAavYSZZvCA+INJRDGZMF93yWRa5rvhICFilKYCj9Iy9Qn5s687JI0oABo uZTqEfUxDzxC9cP0YSDTw4DKqC8SYjrsD6KgFttetL5HfhGJuNcdSaHOdjTChuolmE7WXbSR T/S3a53HaUyI/tfeD3xyPFz7NGB2LybKUxomSUj5DOqM1C/X5SKQsUDAAcSryXSid6l0nAvR BJXEmySNekIBU1B83FPtAiAMkQN1emRSqgOhDmpmBSMilzzyBhbN899KsRy35uTj6Wm6PGo5 2ZtAFflA3ZGt4qlS4bhm+qmtjnNEVo/IjzelXYo8SxtojMg55rTaY3p6/vHx90+vvz20by8/ Pv/x8vrzx8P+9T8vb19fzS2nOdMls9vevCjCzJC7oqM77XoyqoLcFwhmiGgctXPAPhyH9x6O A/JhZXHCP7oIyus+gVaWXpxRvUWd31AFjhGcHEV+qOszHvaus5XJXUvmO8kKZM4zawz5HmLg CTexA0k29u6Q+sw/A8/7C7wuF9mdMpUF5sbVNlNgbaoFdv1T2Xv+nbqMjlvO7vJE5l+1WXiv 2U4ygqqL0R6HjeelbtLoRuomPYY3GORuzvkY9bF/p7Tuchzu5DMFK3HnA2sgtNAA1SrcTGVN eo+TBPdKRH377jdRJ0TBneJqMcAMUTI+dmJILk3L4uI05OeehbseLbrvvK70j3NS5FEUWwV0 Ib3th+32TmtI3h3KeJGIu49OLsVu2mjrfqebVseqyzv25Sb8/CHnKKPvhbOY2X/QXZm+9P27 c1V7vlPYfHWDu627IvTDyjUd5U0tEt/zsXWMGb+IsFOXpDtjHHpe1W3HZ6YZQ9q12vmMVoZs 40/Rbh04uuC7cOmn4iIkXpg6Rt++LQu+57fYEFxLwCJ9y4NV411EQ7b5ZFc63ik5izTF89sn /armom4LYt0ve+V8P5lictks9ei2S0aUYAvfsD11Xa0CBS8fn7SD3+IldhpdSzZ/qVuM5CVe ROYGgytG4p1+DaBMHqOSWzEIdEjULS28SlK3a/KOtqnVM9mLvLgVgrLSMWiGJdlWvzRwCTDz 759f5a3zUxS0lf2r2JWW3I8pmjnN0hchXcWL27egZNP9FZ/twsSnNPcJtGzzpFsleggwG13y sbwP0kQFueRJIIpBp+MszhQFw8Pummrgbg9aWIemKCkbWWRAa0eZZ+7ZyfQyixJfPF35vIc2 8AZ2uw4pAqMX0faJqgnrgrkDC5sSFQLGuR+fHtUROnjTTIjM7qCUDPtllXLiKskno11JUDks GA+gC8zjNsxCvh+owByw8OZcNGgg7WGBR/fT7rbvHK1c+FKg41tibVsjUwco/+waACBtRSDi 5WzvUaGG5eeycx8hdDpm8wdOFA3ycaKAAwiorewjet6YCm/KbbiiCFeb5v4a0pl+RFgHFf2/ JeMNSPxdF+ueOZgmPVIKcTKuakHA9knBtDRtRar7TyyJkV0ZmRyTgY7VeJrts6xxpoRn/rHJ MmuVqrt7LKlZSBaRbqiDmRFOMy9Z5YV2lURWaZbRR5cLTm37SVRag63yhFRya1eC0/aA/dS1 bquzDIrGVubYD/ZtRRp6rvoLU6hmPrhMa2PajR5RM2wuiKMDzirmgSxFsK6icpWTgTDp4SXr r6RKO9dzv0lDbuGbbb70NOXntMrnMTW3b01Uqb185avCvUx29SaJhzsc4nRGh0Xk+SvZABNX kQd0wuP7FAaidoiYb4do+UQ6Fd23JkEGfnz++Pb68uXl44+316+fP35/UO5dy5UZ6+04JIzW Dkv047+ekVEZFUHmrAfVlOmWmTmmgU6UizCE6bnvCuivJmr72ak005h1zKURFzNNOc0Ze7xt F/teRE17yqJetydTKYk1JWuObsa3VOmk3eUMGzaRU60nn8F1chSvprQxG74vS0Ia8yN19Mhz 1tNw2NNT5+5hYrDqMCcU/VOz8UKHFAqE2NusCVoBT40fJCHR5RsRRuFqLuhrsa3OZU66IkiC 8mS03tDySJSzNnogW0VOVkd2qfm5/oBaLS8bPYl0Y6/O8ynEKo1qaUQizykIAyXLaHsQNUk8 bVIyRoOcJ08HAfJ4gjs0qxl2xEASdky0cwb3SSD1D+JC+9iM81kYwDDgg7csLMnhpduux5WJ W2Ygi93qdUEFD+I7SsfjIS9ztNKh4wMopRBdMXDCrrhuIbfxpOCmzWjT1j61Ep87cVnXSw8E ymmwc+6TO5Kx7zMl8jf0zYxdPVQwPE5Nn+uRVRcCente8gbtULuL0L1WFg6GRO9aaCGdRVQH RNU9N6EZLGGFJFhxUEVP9QNwEzKdYTSsjMIspSuXH+EPFVFAo0z6+wqhVGINVQPxznsr3dNZ gbUqamA+Y2FmkAJywbAoPvWSu/wYhVFEtrrEUt0zcsFM0XRJV+oe/TbjhTRR6K5s3TWgMZM1 AigOEp/sB7DcxCHzsdzWqBoPxJmEmoksCtlfpHPPwCFs1VCScPeQRdggIV3W0hC1jjKFAhgn lJ/7wqGUTBONGAdHg8UppDYpIrsZ6oDxJmMhUwM0wTSjt3JMFmirf4UVuD+R5ERkt9D0a7aF SI8oi5R6fPap7uWhYUXrQ8PSz7XRxqefatM0opsckJjpx6J9l2T3vjRo5/Q0JBGyh6/1/AVz hN3QSNs6p3wPNUaRw+LClTEq4/dK2aXDnfWt3V0+4A1I1Fu2V5hnYx6iJ2EJZUzFpeRybgW9 PW/x7O05mnXptrerEYh8IejGkv3pUhy64lzhcU6PYSnJJ+bNgjXUb1KP7ChrTzMdi33GQdAg BRvailknvQv8kDJx1TniGjBtD8/HCeN5vrC6QLQ5c+2byeoYpyiNFYk0ie9NZWtXuzVltaeh Yc0+8tU1F1TmUtjfnk5siEubez1Xuy2jZNjc9ul+nlJ7ul0FeemKRoQ39OKceYv3aRpsyCun TU5ypJoI1O3Ij0Oy+VBND0J6lKv9iYAcDeudDhtLyYlcYj5fl3HDg2iEaUPhTos744hp6oYd 3JLgKLXa2eq2hm5NTk2+rbdapMxi3DY0U46nvt7VpjIjTSgkiiEFTtxpm2QRDHUF+Nvzt99x /40Idnrd52yYVQxvXreXa8htsZR68Bj4oeLElvqVSJhatnjLuHmRk5a+3N0xlyxR6dQqKCe5 Be6qZmdebIjYo+iWm8uJTKFg0fWwFLSn5rR/D19rR63C+MBui3dQVQK/pnFh2wLiJaB4U3fx T5h/1nBT5TI2a7eKqoMcvD3lBl+vnC/55d63xV5glt/3VvvjNcKrO9tHJpm+r8RNnsETGLYi h+Fz3QEDZ1BoVxyq+epg3G94+frx9dPL28Pr28PvL1++wf/w8gdtBxmfkhGmD4nnxXYjqTjn jR/T21MT5Ti0tx7UySylBuuKNUpVWog4rprzzdbE/WWY7aFsCvp4Rg6KvJE3ALfWTbF6U59g BOd6dfTSdOY5L607iZZUuS/S9uQd8EDKRblvL+aXUmnqEjMjxxEoavquAY1CFKraq2gf/pb/ /PT59aF4bd9e4U2+v779HW/k/vfn336+PeM+k9kDMIwiPGa0w1/KRRZYfv7+7cvzfx+qr7/h fZd3yimLVUtAGnzKoiXaAiHGOUZNKY/V+Vg1N/ugenwLZ9X0WhxPl2uVX/QajEnjxai3oh+o id4iK9uUiEyGf+XdGf8M14VMky69L2my2ktHnWFrryHD0TT1/tDbTfqIl8w5h8R1X9mTG0xI dj7KRIHJ4lI21jfuVhUR+3wfkMqRHFdFfkYr3kMpViNEYs21pHU8ZLwbKJcARNr8WM0RvafO 0T5/fflizYmSKK+kn+8jMF9pJHSX7vbB82BNE1Eb3Y59GEVZTFG3p+p2qHFPIEiy0n6phdNf fc9/usC3bOidlIUOCz4sFK5Xle1El9XVoiXPWxZK1dRlfnssw6j3Tf1q4eyqeqiPt0c0b6xF sM09yu/W4L/Pj/vb7r2XeMGmrIM4Dz2mPeqmRitW+JOlqU8J8Br3eDw1eEeXl2Qfipz6BL+W 9a3poVxReZFxM9/CGU8I+s4zlX+NUR/34xCCtvGypPT45XH8ClVe4os0/SNkewj9Tfzk/mzL A1DRw/9Tdm3dbeNI+q/4ad/mrEiKF82eeYBISmLMWwhSovuFx52o0z7j2Fk7OdP977cKJCVc CpT3wYld9RHXAlAAClWJE6kmOldkWR2Fpa+QPPLEl8QGQeiSbVSwss0wYBnbrfzwlMpv3q+o Ks+KtB9g9cVfyw5EoKLLVzUZR/9Ah6Fq8bR/Q4VpkuA8wR+Qptb1o3DwvZZTBYB/Ga8wiOjx 2Dur3cpblytLh1lOIW70WcMekgyGYVMEobOh9sckNnKtxajKbTU0W5C/xGL8JY1OVvCuxIcX JfO8PiYP0Uw4DxInSEjBvkJS78DcG5DA+7Tq5deXFlRhqawGwqnqgxVIo4itYOnna99NdytS /GQ0Y7eKUO0gnRvtl2b31bD2Tseds7ckB7ulesg/g2g2Du/JAHMGmq+88BgmJ0s1ZtDaa508 tYCyFiQHhiRvw/AjELrTqhLdx/Vrd83uDUVrxLRJNbQ5iOeJH8jrGAnadPnDtNqFw+lzvycn k2OGIbSrHgfGxt1YpjCYPOoUOqqv65Xvx27oLupy03It57ZtsmRPLtAXjrLiXy1htm9PX7+d tcVfhHIxdtPo5qkq0yGLy0C5OBuZ0ANoLIgbKXOtjJuKD2k8sLIPg4i+aBebzWldAVJphFdT dq8wS8OEk7fRxnG3enZX9iYgjZRNUNdrejmsvPATBI56cye+BKUCiphYjN+EeodKMzQYvnFO 6h5NUPfpsI381dEbdrbFrzzllqMM3DzWbemtA2Nywz3YUPMoUC2uNebaJtCwv4WfLFLcII2M bLNyez1NJLvkMfDIRa2KFMj2kJXo+TcOPGhAZ6W6ixaIih+yLRutXcLApkhpsLWWjcoNF7nR Ejf0NS4sn7t67awMMi8DH7os8qycwEyqThyXK04rxVahZBh0o8ehEnjrBW4YyU/TFW5SL3wW uFqiIkZlcgx9fVBLjIF1ikGvzjaOiMQcUhySOvLXwQJr+BS6jiYp142PSRzYYUsVZmZnLl9i x6liK2ifELVTnnKfgrJlHe5Hz34Mc4xtgyUF5eaYGQeQE3nhdbeYYXpNMQTCbqv1exPXe+3k ZVuBAmjMz1nTwE7uc1pQJruI2BeO23nmHIHDPWmM48U6t/msF+J/TF1LLA4xv8I20X76Mz6T 2+9oMxPRErHFL+849BJu27jvO2MjNp5+LOvsDUbjEse0w+cua+61jsE4U5fY9WId3r09fj/f /f7rjz/Ob9Nbc2kJ3m1hV5ugQ7FrOkATp/QPMkn6fTrDFSe6yleJfN4Ef4sn/MeUX07tFW4M P7sszxtYfA1GXNUPkAczGNBd+3SbZ+on/IHTaSGDTAsZdFq7qkmzfTmkZZIx5RRSVKk9TByi nxAA/5FfQjYtrFZL34paVDVXGzXdwX4KpFCeZhB83DMlMhlmLh1FXano73k6wlaTxpMWrH6b lXtSXP6cowkaj7ywN8Q41mpZF/SdFeKJCFgyPyuoE2388AF2lK5yhiBTJ7GTk4K5yFqKSrh+ pHNioKBA77RaclnBW+ogEljpLtPA+y09H2DjHBtr66AbCxEh1gbgTiKeF9n44omZjTlG07Zx m+xInRRgzcO12up6/IgLCXRJjCQPSi7JfOBt9rlLtbaauJQ15ZWrOBjE0s63AzpJtwm+Mi7j wtoCI85m2ima98GR/fxcSJZBB0z97yE2IBeP6Hmc6DKMXMuIQB6dLfe0ZLiH48MqVOyoOZKU eJk+uIEyeOTufmaqzhmBerRLXZlWMP9m1EkjcO8fGnW+8xLVDHkiwUY7Ti3DWfB18TlWVVJV jkprYUuit1wL+wpYay090NwrKdSF/nnMmiIrrXPBqYD9GW0Gg8n1zAnorSt+61gUGuyGOZTy oD82VepWWGIuComxdInxRkfQeNztLGKq3E3gbLIFtadv1742lUt+reW0ExaRDqeFWAkDanWq SfFkpipUTQZj/yl+ta408aJ7r+ksM8+cS7ZNxRJ+SC1xMrAxOEzRFnNG0VahxaID5/+C1TSz KGpxVkEe1JDanVjIt49f/v389O3Pn3f/dYc3t5OxuxGKFc+V45xxDCR7zNTIlchbiAx5mYKs CVwR923i+rYQBTNofLFyA0SYgxKo0f1HbglAesWZdi8EiCVoeEmPOQ1l8Xp9RVH2jFRDBJ5k AnrlSOZhROKzVdGNMlie1En5H313FeY1VYJtEjirkM4fFK8+Lkk/AxfM9HiDSjqffG9Pwn1D hOfvQRHm6IX6miJoO7C4kGqvfsuZV3qY6ilzw6BoToFXXSn7fcM/h4pz4zWKykF/YDBMMtIh tpJgmYwvdlRSLT8WnAhDmicmMUvjjR+p9KRgabnHQzEjncMpSWuVxNPP18Es0Rt2KkCRVImf oPtUClQZjYlUYpH1aYMspYmmIlfkNnnmEq2RPJQMfRPAElvJ3StyYj2uvgn/l+cqtRo3oQOs NgOrM6McTRUPFk9xyD/iE2WO/ZiVLW0xIkpm0SFFEnq8ciTGbT4JvtoDHfruaoiO6YriwYKe 2lf7AvtsSI9p2dI82xdmH9bdeuUMHWu0lKo69wZlNypTMUmVc+xNNIs34XjSrffM6J7ELiFa BVjiROrDC0Fts6ynniJdmWKnrI0O1kWREkVhorkEzVsZmZ5Iz9jA2baRbFB6IQlLOxEVXU8r ZitnRT0ZEcwiM9qh6h9ge0F0i6BrQsjXrhqAaKLaop2MbN/3fHECase0/c7icBd7ljU5s7kj Bv5eeEu1snP2oH9uJL5WKypS1GhjMmu99oUW002ZzJiaRBofKm+v0rIyyfYVRVODCl3pySdL fvNnve07Sk8W5Sq5M8bIUD4byRavqcDfFZHFLl6sGAm3DSRkaSMIVhEn1JtcePuI+hVNLfTy 3lfN3nEd22DKq5zpn+R9sA7WlvOUaUGyOfZBdlm4vm201XF/aPQMm6xus4TaTAtukXqu8UmR bmx5CJ78DEDMmxmL3N6Qgok8zl+2tQe3TBU3JO/YW+ImAO+h2Ekeug7JP4SRouQTQfS4NhSA cD3WSBNuckU3m2RCEUEyqE2CYHJq9AQmrItTozeQLxYT+J7lbWpfsK/I8erKKtkzjGf7go01 sCSknXqQGF0RVbnj4eoHyhzzaL0io0aosKpMe+1kU0PA8kIH2zFgnmv2hcwdEk7044QQZvz2 YvDMW5GRojTRIqRhDEooIn9Oxp8rUvLG2zme5aAQDbwF+SjkXcdFzM0KNKmZLdT1KoLGFwWa Meh6lygtiiUs81CO39J/BWtjGhQJU5Lf8a1B0K8hZ3LHHMUt90SOWcY+630g8Nxxych0MyDY ZXojIPmQ7Zi+WdjGiXpoP4PxtikwyXWVkMQDQcaQndOFklGHI2syZldasAKnjHyCMO03Yn1x P/Y16GOp1ot1Iho93qlkxcnfRLjMh/o2TCkZAlliV5YEf7Qet2JGR3OAtCJmB5SYWubapxjk xw/7srPp3ZCQcCeLt+CnQ8bb3JyFJy/AWnmU3RLMpqW4ToR0tD3elTe21ui75zW+G23l/3h9 u9u9nc/vXx6fz3dx3eH91Phs4fX799cXCfr6A63Q34lP/qmEi5vqveNobmy5RJJBnC13l0io g+nGpp9dEuL6Lmxm1ElmSphgpZA7zYGd8S4z1qeZ28dHS1QotdTuoV0qNr6cwrp1plJaGF1+ 9Zi01H3KJOhiAK/AdVaTZChZfPptHa5XN4X4PmvuT1WVLI6IsTK2dV9wxYTMx+dUOeykybYd UfdpWmxJi38VVzDVB57KxQcnww4v+5P8Ac3H9kPJitQ2FvHDor2HLWR85AmVbNFGjho1ZHzA gv0xnXCJHmHfn1+/PX25+/H8+BP+/v6uj4/RJTLL6NcTEqLfQwWSxC5qV1xbfRAHI8kSBEbH aT78LcDxiC62OZ7TwDgUP5guQj9U1DqhvYZeUfv+48WETRKD1mR2g0EDi8pQa18uhewIfLtZ OT45pj8gRFoBer44IuseY6HcHLSfbS5XZ0ADy7YeMdQATbbLxtC4zlRy1Zrzy/n98R25xtAQ qR3WMH8urwr4qmYZ8NuNudNaIqJA1e4yay23Q70gXgLQZmYjkQ7wPPcO++5RLivZWOJl+a1F dETd0lWmtHDgNT3dfB8v6zg3Pj//5+nl5fxmNrxRGeHFeHnUASb6f2CI3agO9Vcfx66z5RYU CNF69BBfaAuzL4R7fnOtMUS3Pf8Fgpu9vP98+/X9/PLzMqwE3uQmICnS96TuNkeDYPqNqQVX xB9FHmO9cTSgiGeRaF4+aVQRb2/kOsG09cHSkL+/oqv0u/88/fzT3qh0Fjj/LxZEGM0O6bGg BeOjnWomTHkv0CBT/BdjayDxxCYMjfYKEQvbirMo0n27q/eMzkEYHePv9eUMbBy+VKTpeYOW 5+OYXJ6trpcdC7VnsMMcujbLibIhz/FC187RTRgUfrhwvHsFBY7FYaMMC1crSylCx4nsnOFw shVPsG/kfL+mU79fr/XLz4nu+8YR/8QJHDLQpQRYU1W8970oIOk+WYQ89gPZw8jM2CZuRDPa gceVSY+55+f6KdyV4VHVHFm2k7UrwrelGlhTXd8SE7xdytfG8feF5X8ogZBoIWR4ZLciJyDD JEqAcEUnGTo2uhbvWOL1PdHnE8M2FoHtOeT7LxmxpkvjrY1LzpHje7nl0eMF07ur0F3W+qct 9g2FZQK6/vaDyOCjSYYE0FiZYW0ipCIp9ANipI6PMqYLZo2X8tDx1iR9DC5rFDHlkefYLm9m gEuIxEi3ScS+LYIbc3Mm+t6zXdqMhwhlNTT33ooetRd3jANfat6C9ZtoFRF1EBzPD5mF5a+I thQc+ZGUwti4No5HDfyZY2vHC58n1As4FbYhpoGxtMbNqWDxIto4wXCKk5uatwbHOFAt+c5m Rtdx4QQRMeKREUYbK8PWEoK9sfvqlXFRYAtfIaE8xVGexlgoBQyXyPAATQF9Z+XSZsMKyP3r RllhAJAjsMlhtSVauGlhLo5QYqgaIBd6cVmemtYPHHLMIccWp1SCrJcnboT4tuu+GRARmsFI n+pm8EL9nuZCtn7hkA0IZHv7jcyY6W1IQv0Poz6U4MZZsCMR5wfJaSiq+L6zmTYI0L7NfeNS S3DGx6gM/p39m9GI8bzcOHshNyecF66nRieRWb7q6J5ABJRqPjFoTQaYa5+apHnLPNc46p85 ZFieKyAbOCM2MS3jrq/bOFwYgYWhPMNVGJQ6BwzVP5/MCB2yRoJltSuaELAnoMoBOsnaIRWz dsc2UbhZlEKB2Sxdu7T50XNXLIupDYPEtE3EF4jnkNb1Js7tqXrK7Nt53VpWJmQS986a6kTu MdcNU4ozqtgWjk8UvUuY41HKHi7QxfZAjArgbLyIyGRi0LMkvvHQbQdnuktu0gRnaY+GgIhO MnRIPRU57tI8gQBqNRR0YiJAOq0SI2dxIhAAQmyRHhJDFOnUYgb0iNIwRzo9sWHohxWd98aS 1oZW/5AT3uikTUjoHUiPiP31ibMoomci1ELDxQUf/TP7ZHcIDv2ISIIElncNM6RkHWx06OcW MsYnvT7IiNGOlvw4cinPGSqCkIORQc1ONQtAl2PENyLSGzY53sA2hjncFXKcEIs1H6FNb0JJ YNtLuU4nqOqRovLdqDHgvR95DHhlq4zxSHTfsPpAcNEQULYVEkeRit9StKKpDnGmvllW+caL bmFXVBWF6rhR2PukCT6moy7Yhc1RXmdm/vBrqcff4uJl72E4MD4c4kTh6JlqsTgVHoPdcYeB scv0NL1zUE5rx2CXT+9fzs/Pjy/n11/vGJ10NiLRApLOxmYDvjPJOPVeEFE7yCorsxZDlTVZ yvXyqg8aLIlU7V7/Dkj4ciHp4jbXcjdwScbZFvuzb9MG9q3DoaPios7wHS+IruSiL/dpI6Kx 0h4aR4u0tuIdr0F4oIly9vAvV2aPcjJHfr07vL7/RJeRP99en5/xKZv+4FzIRBD2sCM5qG9l kdOjtB4s/kkRsG3igre22qbT56qsCWqDPgygnYa2JbhtizI0u4LVuTue6wWdc5pjhFsLfAFW TVbRhgQKDBracqmswlr7sLiAMOzpMsoSc/bCN11WmpiCDmkqOrrkIpIm4m502eV9ojEw+s51 Vod6USwyXjtO0N/EeIGrY+SxDaMF7ZQMCaqucqWW7WO9Vn2k164gL3bXpAWvAstrVNl7a5EW O/+CwqtD+qGmApuuTpeBC8JUfUCYZmGp7MJS3RKWDq2W7R3M88hxqI68MEBKqNX/iom19a2J WBCgQzdDaDC1KQa1khfS0Q24sPK3tsYc/B1+P5iLGk614yvhu/j58f3ddOwh1k584SYfYXQi NrrRaq3q51/kUFZt+s87Ue+2atC5wNfzD9B03u/QIDPm2d3vv37ebfN7XHhh23T3/fHv+cL/ 8fn99e73893L+fz1/PV/INGzktLh/PxDXDF/f3073z29/PE6f4n1yr4/fnt6+Sb5r5aXmySO VGeRQnTQO9SSz3nxadvZJb0QPZNYTEXFwn6KqcvFieWqjYwUESt8Xhv3j1+/nX/+d/Lr8fkf sDSeoepfz3dv5//99fR2HtWSEXK5gv8pmvD88vj78/mroatg+qCoZPUB/bkvFdodEgxR1lS5 XdhGmP7g0YS0DYvvQbXhPEVtmHREL/rjkNVZkhqiP9Nh625v6AsI2+9GBngmr+mbMycrjLnx wpvMuG8lLsxf1ORxEQnlY/Mr0cFa6VlO+DFuvN4HBG7Pkn06Im1Jkd15GT1Cdq6zwYWuqsHk dJEWmRo/bSK6tE9loRwmXdtRp09iuKdHnu7VpsrTfdXiAw+NrE+e8UPdpPji+iGMA8/oyAfh 58y+1KPdKLe19a7FR7G5vhNiNbolG51JSruqWhz27kALZLzF8A97o2dguwD/HffUYyFRO61y MIxg13LMts0UnVAuenViDaiKGlmNGzEqThwERSwku6xvO/k5xygu+BR/d1KpD4DrtYR+E43S G12P2jL87/pOb1O4Dxy2OvCL58tHMjJnHciHMt34bOQen2rCzsOsFTRwxe/TB7ksqPOP61lW grpCin3959/vT18en+/yx79h20EvhwclWciF4/uTmUdUsazqcVsSp6rLvSmSL3yFfEvj4K5X C/N00UNVByxjD8Nko5dDVW5gg00yp1t249vpYGKhfZTiiqlHLes0HY0e+rUCT7zpOb2tDaQE 0LObuWFWEbYVZc4MWnNIGnZSN6ETd9IvhrIrhm2326HDCFeSkfPb048/z2/QCtcdqr6yTmq1 bepAWTf1j3nj0JFhyEUJm2l1IFRHPTVJ9bNpHGhYHWrjuDiaWSDNM7Xdskao0KItGRRYMk2p 2SYxtcSVaetq/ofNrhmN9/RPJ7+MR/v5hXCScNHYZYEmO1OdZ7bi3R7PWm1q3A2wsuRbnbjj OqVjsTN5c9RZqr+FkXbIEp1EquDjr3p2MxW+ytEHkZW7M8aQxMQi21UrFUc4qlyA016NNBw2 y0dw0FQfgU3NR075k7784+385fX7j9f389e7L3KsEm32/y1VD4ln2nAoa1yHrMdfyoPMSZyx 9UgiKS0j3xCvrozR/6edbr6RFUMTfXqQkzUtbftJLtU5hp2mNKxLxu32vSbZPtSkgZfIClTV gZ+yVn0nRQeXK9KCt5nsiGamXBah8VT3DHvHv/nPpy//pqx4Lx91JWe7FKZUjLxsng1LqdhP Ls1U22xXwNaDlOAL6FORxU1VDl5Enw5egA3MtDcQ49N3/TDcBuvkl8V4Nq4+3xeHv8LTl9wf V+qwg3+paDkSpOhyyLLK1eDaArBtUPEsUXs/nFChK/eq9y7RpOjRy9DSxPes9Fauv2FGwqzJ SA+BI/PkrmQTwrEo+LRVthy6Uv3ISB906CbjQ1WU5LN/gRGezVZagoLoGumZXtA0rmKNfCFu VOsMQRdngpZT5rFXqi30/fC5s3gtlUEN+2wr1HRRo9Wj9jZr6p70wvWJytf+aqnAwPf7frpp sqc9RWXWv9W9uMlcjEILaRtfTXSb07QLRgt+Leijdzm0kGnJd9QCJMebV+QtcZWYw2MdWs/f 6PJach0GylW/lT0HjJIaMwxkqVPz2N84sgmFIEthoU359P+yd1HV2hxuj+mm5c51tuQ0LgAZ 95xd7jmb/6Ps6poTx5X2X6HO1e7FnsU2NuZS2Aa8scCxDGHmxpWTYTPUSSCVkKqd8+tffdlI crfJezMT1I/1rVar1eru96cmOYK2wxjUi5iX4+m/v3m/yy2pWs5H2hXg50kEv2Nvh6cjFwGF OKG5yeg3/kMGDljS303urcZCnD5hxYFaaN9Ygs9HWuyrbNlrjXjki31S57yft9cb1d5qn0Lj EvlTOD6S6r0SMQtXny/7L40WL48fP0ePfHOvz+9PPx3u2/V7/X58fu5zZH1R6G4h7f2h49bN ovHzNVttaoS6ykhVzzNS93mxRoAefyFgUm7RTAiXp3Z5DZ3wLZx9TW2R2svh623n8e0iVLMf o4vqtOukXB8ufx9fLiIio5SXRr+Jvr08vnNxqj8ju16syJrlsKNau6WEdzdB6lmSdZ6gHVHK p1Xo9O76S8u8V3VHkvDtPJ+L2GJQL2YpSfqWBCLVzEWidGRAvs7As77E9NQNMpUUDYW1xpK8 F8IykGNVJ7brNJHQSj9G0iqpN7xWYGLrRPFf75en8b9MABM6JNPSzEh0vuqqKyC4sl1Q1zua 9Rcxp4yObdAJSzAV33DJf9Hv1j5EuEdEuknSVXRbILXZ5lnrS9BuS7Vr3BNUF01VVLon57Vf xXFJ4/HeLk8QyHwefs9YAFGyzfcZlL5XOfWqhpsMdN+yYGqaJbXpKRNugKE8FaVJ+HLdVtCK MIHTCZbFdNI8pNCCN0DRFKjZ6huNwwjonk5ictK5EBDNrKDPV0I8M0UJi2CGfTEIXJ6II6hR FQuTwI1F5WByVnj+GLJktBF2aCKHBj3YaSF7Dgihb8tkIQw2Bz6ViDHUsZIS2FcRFi2CLxct TDxUNp14dTyG8lcUd6r0J/p94MPu0bpKkIISiO1245eEdRgDzWf8KDMbE6h2C+o+fetPC742 QYsGAxCab2XMD6E5mFF+RgQmbbXj6cD0F+kBsI6qXRyPwTFlIeSAr6OmfPnHrSjAyhznc8Dj Y4EXslifPwJcIvCD4fXEZ5bv+dOh3hW9MkvA9aRo/KROEeuk61BEjl85Wd9SuwYZZvScj/mm 7b6RHtrmziYlHFougjXGYbMgNC++gTlHMcgFJAW23jcgUz+GbWVNzOQLmDiGHq9auYBbjz8x L866dDIbh8CCEOkQ23LimnTzt77zpjWBjYqvbCeu4yFGKwABtEPw9BDYoymjkT8Bp+H8fhKD UXC76VeGyRjgEGL6gkxzwCF81wuJPwWvejqAMOsC9wLp+r1P+f5tfU/Ldp2fT3/wY8mtJU4Y nfmI8fZ1eHH7qw6TL5VGbhAlfIItasqlaYJcoHejJbwF3UY0OymXDnVzMExXzuUGIbtq4t2A CHu3ivckorIwYYzQ4fUP2If0q1RzSWG4LLZdR8NjxhH7YQRiXdk1p6IkJY6K2cEkJBVOxcG9 u+Z/OVszwCwo7OKkBagX5oOQosQVmAbG1Qj1NzsaY7GTrkcRx2lNv0/3w0PL6c1ueNNl6x1+ zpJ5bFCvxB2k9rFAIldIFMzgKBBXyDTyh3MZOhpL3jp17BGMkb8hfFR16nmzGytT3vL2JAeh s2OH04dwfTUkOxhRZTQl5XNeWfublb6m9k/XKpItJf3AeTyxUa48rfzbyDTy/mKdmU82BHVj PPIUdy6VsERbpraxJ9nnAoxEgOS5iHUTIyENOZkRz9sPkF3u0tIeupItHYpy4ZkiYRKlI0qM uMpZjn6Z06Uwy3TpLVW6Qcw5MbKOwTp9UzYEy/guQMukyQKvLRcI5xnZ1sJRBNL7HWSPQ2gp nPohRXBijRL5ikN2YeEwD/tsPS8XeuBAepmskD4uCzmuZvcqL2pYVh2VbhHfIRJA0e/LKsUz V3dV+NSXDNofN6Sco5kojDfGZ0edU/zz1iWVbAJiatpC8Ckg+SbS59oblRL4mrR0+l848Vwx dIZwanKPUWXII5JC509JWonV1NAlNXStV4LBqB7kGDj+rnVqH2bFneCJmZuZSBAo8/Xuoikt WGu7ZCUyOXGzZk6YHVhHpcObR0IqfAoZJlIDoO89Wjd33NYJnk6J4e28lgtRBiFnc1L1WVfh DF+3xSQvR+Et7brFEPZtnYgng26RtvnjdSdqKiItNtos59uF8Wit7TyRqbCoM/r5QaZath76 c2CbkAQup+yyXphYTWv18HYqy4qFqDnrUVYZKd0tWX4htNLy8hSWmczPpfI8g08mFi5xV08b ntnur24QtvurbW+Xo7DnLZA3Q6t0IrZn4IrahaDbImFJnjdYATwd8eSoq9XMCy5pwL4KTQh0 oWPQpTnHdbC29t0O/9k4DhENSqmPQ3l1b+XAxyKjV4KVG4FNgTiFZVWysUNbykJE/L6BI5fA iItwrI7V1jZlEYl0EYEP8HcLu/niN5//OR9kKIy1JIv6UYs7dMmcF+x72WFvVhURj8Mn6dS6 gBFiaBs3yU51miFTxJ082Ar5/EAQjTxkmuRv+mHw1XZNP5x9ej9/nP++jFa/3g7vf+xGz5+H j4vlOlWvuVvQtsxllX2z7KF1QpMxSyvEl1yGOdCvCWeR0BtkKPpkm9aUeQnvM8mq4oV1o4LZ dBUFWW/24OB1qA0/wHLJz5tCCr+ViGeRFIZhW5siQkiUxNyiFcex0dc0rdlqhyl5OXc2cMpp M69edfj78H44PR1GPw4fx2f7sXOeIO+LReasjF11QPu+/WsF2dlxGegO4k7X1hjXSSBxNrHV uAZ1lUdhCAuwBooliGNUC1NCRykTkYeW/z6HFKIkb4JRJhOkXZyGhJ80QHPqxTF0p2JgkjTJ puMIKUZQsQCcJozJ6NxIsAoDKFWLRbZnyDMFB4q5izZgy4zm65uovn4B7FSflsyDbaPNzPgJ jP/PtyN0idxvqvwepRbMG/sxF5SLIs3hK36juJ5qBgJ1bv6GR1vd7iGDvdmvCSJsXEG75OZs 4Cdfv+mFigOmZzr1Yvt5sjn++T5LeV5IwDk5ENIIGqmyKIDkd6RoamREBSKhvnBVlu6Qqasx cYC0WtGbCNNOm4BmycX5QdSdE4auB+hHaelBVkjg+Za+RpxRX+nD3zNYbSHIFV9m86yqvt1e 3auc88Mo2QWIftyFwsp4BxXOkN6zYJgXHAd1m71y1HQWJzvsPsHehnzEKV2ViUd6Qn12k51v xGM0RGkkDJbgm33xaU73MYVFko6MczNJxmeNJFvcTpn2nJ4Pp+OTdAkOXW5xEY2fDXi9l9uh 6wEX5ofzL+GQUXZhyDC7MOwEZ8D23hiZCDYqRiwhWlSdbPtjqQUssE/BydI+XUQUY9qK1S0I Fhfp4cfxsT78VxRrjqDJ82sf8zPuoJDrDAsVTaPbuwxHIR72HBRyO2Kh0AsSF/WFEmMP2y1s VPSFesXeFDYaclDxl1DIIxIbFXoROPeGp4Uxc27HGLJy/Go0GcrPdRX/Nwm8oKFcdrrVljLn XyQrTIC4AtHgMt2o4xKEVjPeFC37kWdsbbg3NuADMP9LsElwC6YOEYt8h0skOhTWJhFhE3Al P1yQWYy4wTZOOG1SI2MfM4hSivfc8vZqiBoPUmd2zE1VYgLHsjJGivNGkqKzq7gDY1nY4v2S ClYP3xeoO4Hd7XqoawNITfDAT09rN2z0NVVqqWFd5BWDTnkDg0YJMjHo9a8JQo0cViyjzda1 kjB4CTt/vgvNgXvzKx8UWHesKqWsNnPrAqGNgSjJYB1awXsA0oaFGUC0ljVDmAd5n4UDFnVN qzHnBDgk35fi4gwHSIObaACweSgGqFU61A8qdNAgPcz5oOII5cIApyuTmQGAdqY2gNC2LE1d JwMobVI1lE9xx6qkSed7USPBVZA1W5SMnyEHB2XPhprEF0qVDQ36WnZbzWcXKW/X+Ma+p0Cc zWGmwBqhLngLVO4XGFoip0VS6c6Hd0ZSUb1gWRmP4XdMHLObUnnZkydwTVUI1DKHdZU6QCqq yJSNVPtyUz7A7LC1hRtYT0Jr0lTl0AiLy9yBVSN20Zuj+pe4o0Xbyla6PxN6A0DrLWKvoy9M +SkTCbXXZlEjKyHrBhVxYqebIm4qSJ0j3qbaWbxHDE34+YkvW1rBlqkd2ZVibXoJt0BVXwY1 /caapB4cEVYLezRk6iV8pDyIk7W9nbNk172LM7Lmi32QFehD4k0Eb8AGmfstBKPLV+nCxZWY btHEOW9bwruzPxt5kLyYb6D7OHmPxhmZIbyppOvrMOUP7XA6vPOzgLp3Kx+fD/I13Yj14/Kp 78XN2bKWbk8l72BgvW9la9dJ3m+b7hfaZPXWTxpZ1VWeWM8T+5iCfId9aNhQ4Ti4XlWb7RJ6 W79ZKLhZlIzr1ruZvK5pHRVzAKKDC+IA5ZNxKIdgxg8vycMtyGBNBYsc+F6wyB5ZPXk7vJ4v h7f38xNoQZ3RTZ25D9q6yQB8rDJ9e/14BvMrKWuvUuEcrS87swsR1fVBxVPXEUc/Tz8eju8H w9zw2toW3RPT1be8Mb+xXx+Xw+tocxolP49vv48+xDPnv/m8BpxSCJGvpE3KJ0u+7nuKbA/d Itwj6ChDmHAnZL1DjrkaIM7KGWHbCmbrRoTbJF8vYOGkA8HVdXBZ9jUcRQpt4xoC7dcRk+Wt EdIv2jORuNHlGwV8XjQwbL3ZwLKUBpU+uZnRYDP6tTU3pJmnwkXBR7qOzhZ9Vzrz9/Pjj6fz K9YT7RmrFF774PXLc9ZB5HF6/xGmdUYrKbwRgbVTDkr35Z/XsOP35/f8HmvC/TZPEm1bBbDe tCREaF7WrPW6qAu/VYR6B/5vuscKFrLGskx2/q2pLAdPaNrBTugVoVTw/LT4zz9o0eoseU+X g2fNtWsW0eqi+5nL3DPpj3RUHC8HVaX55/FFPHrvWBRQlyKvM7lKRSfX1aYo3JmkS/167tp9 z1VHCTI3YWZJU/iuVhDTbEcQIU9uWetFRZIFrNgTgFJ4en+oEI2MQLCk5LLaDfJNRleLe9de Pq3xDdQLshvuPx9f+NpBl7Y0GhVaKfE+MYUXp8QIibJhMOtXADaHDwWSWhQJ3MmSyndd2HG0 pDLqGgPqZoONs1fUkPq2E56WFWxgZ0hXamyGUV9Y4INq4k3S2UXvNkUt3Bgmm23ZWykuPhjE m2hLY7qVeo/+niGnx/74cjz1OYvueIjaheb+kvTS2a1TsQIXVXbfGbuqn6PlmQNPZ1MpqEnN crNrI2Zs1mkm5q5lcmrAyqyS8YTXCTx1LazY3hjZgRuEgRO+XlhJ7OdUVkZczHcU71bTABFO KEy0IC79W2okplsRu8pXcEodN4S6DkCT7WDXI9m+Tq5OT7J/Lk/nU+t6HGiKgjckTZq/CKLY 0RjXD5NLp2TvTcIpfI92xQRBCF/IaUj/zXsPUa9DL4TvbTVEsSLO7oXza8i6VeOqOp5NA8PK W6czGoZjy8RRE1o/sUOFcwxfvsIbKBjKjDPITWVZNWvdWFoRxGGKAmQIz9ayGpeLFvC6mdde U3CJqYbFWXHJklEkxrowvcdo8ry7LJFK0x0/rov5OkeMZIQ6T+jR1lndJHAJApIv4PyVJUCz zrDyxX6NmBKmJBYvXtIK65NW/1aVaPB5qZFd0MRHB6bVZ4Iut9Rqp8bDjnY/yXqJAZTo+ROd eh2s9hVOBhaZm+6S+A/tdBdKa5I5mGw9ibDT3Vd5BlX4FeTi+pa6hd0t8oVE2cnasRE/Y0E1 VH9aeqDrNz2oLJWJvaWD+CaEtaGILKWRIugPYIHcqmePHasz69PT4eXwfn49XNwtJN0XwSRE ovNJqulHRifYEdbmlHhmTDr+ezLu/Xa/STjrlA6iCjjVjSmYEh80W01JYHuC4FOgSseQ/wFF MRwMyAQ7KtliX7B4FvlkgfSJHJJa1zEg+9wZ/44mHHi09C77uz1LoWhud/vkrzvP8kRJk8A3 XUZycXs6MX046AS7Y0ViZMet40nxJIScJHDKLAw956WXTnWymDluNa60fcKHF7Jd55TIN2vM 6rs48Hw7YU60j8FWZWFPVjWBT48v52cR2+LH8fl4eXwRLtK4DHGx7n9JOh3PvCo05+vUn3nW 72gcub85a+eCGd/xK8KPmIVFns325u9cGvoS25u11sMQJDiFUqMQSsLUR0FCmZELlaSL0PQk EZZkni66nb/F2rdTsvUuKzZlxnlJnSW17WZVy4pwAau9E0CyvRDAaszFyWmv0Zqm3Em5/VSU ibDtRXPUD/mxPOvEn0yNwZQJZjxFmTAz3PsIUTAw3ZuIdwGRGbmYJmUwsT1GiSckRLjDFY/o ozFaWxPHxU3xUgyuOM3WzXev3x1KD8n4rIM/K/3In9nDuybbaWwLhOLuG62jEmK5bAQXIcXT nRC6XT+TV8E1typwTd8h6TzZdp8jHmQuv1UbtJLdWbjfFVfM96VfoDkohyw4WbhjwalyEouo SsoL64CUpXoK0WXrx9ELltKvgdAK1ZQvYHjEpCFSMo49UwoTaYxvHqGdpmJNWMO0W0TybbSR pI2P9u3kbLnwEMc1efLi/Xy6jLLTD1uNyHfCKmMJce9z7eyNj/Wtw9sLP/JbXH1Fk4kfWnW7 olSZj2+PT7yO4jkRtkUYEs+0d2hrby9v5qMy+nl4lTExlBcKO/e64OutXDUsW7MNpFNRiOz7 RkMsuySaRfDbnITFDncm9+4ka9c8ZdOx7ZyMJWkw7k3KlsirkYsggw1bloEdotUkYZHpSxaM XVnJobKsygnkgnv3PdZeftshcPtWufw4/mhdfvCJNUrOr6/nk6lbggGmWEaZ7m+m5SWlC+dg +c7LHMpWle3S1D0bK9uS+tXoEx3J0K4CTNPCmFL+6CnIZ+OjWjGw3BOOzZjo/HdgewTkKZMJ bPvASeEsAGdqGlrv68TvWWTXPS03dZNabgHYRAVG7237KfimnkZ+YLrY41t06Nl7eBj79pYt DP6teaq4KvZmnxPCcGotH8UIU9cDQPsWfKjbu4nz4/P19ZfWZbq8T2saZRgS+KLEzUD5WxaR 3Q6np18j9ut0+Xn4OP5PuKZOU/ZnWRSty2VlZSFtFh4v5/c/0+PH5f34n0/xcr1vSo3glBe+ n48fhz8KDjv8GBXn89voN17O76O/u3p8GPUw8/7/ftl+d6OF1qx//vV+/ng6vx1417XLs+OU Sy+yzpjitz03F3vCfC41w2nu+ZKW22Ac9jiZvUalHAMf+iQJPPPl9TLoPQdyZlq/qYrxHR5f Lj8N7tSmvl9G1ePlMKLn0/Fi9QxZZBPlAvDaNLIPxt4YVAIqkm/yYDB7g2jWSNXn8/X443j5 ZQzTlb1Q34ke3vKJVW3vaKtUHHEg4yBO8ceeMdqrmvkmS1C/7dFf1VvfDoueT+FjqiD41hG0 1yD9dolzAOE1/vXw+PH5fng9cNnlk3eQNS9zZ17m13lpKBk2LJ6Oscl2R/eRcxTbNXlCJ37U /8YC8Ukc3ZzEBaNRyva9GazTwc2powVWQ67UWcrgGT7Qa8p//PH556W/wEn6lwhpa08Rkm73 fLLCgggpAswjHSfxFQibDpIyZbMAXBySNLOVKYRNA9+DotXPV940NIee/zbVYgnfo7zYao9I CiDFDCdwigONwNkrCJGtrVmWPinHoFtMReJ9MR6bus57FvH1Q6wI862owgp/NvasaBo2zYd8 MkuSZ/rg/YsRzzeVP1VZjUNnjeqM8RAodRWa7jyLHR/ziRlcl3M0zv9M/aNOMfR+6w3xAtvX 86as+SSAxrXk1fbHgmh0Tu55ph9P8XtiK7qCwORYfJFsdznzQyDJXnB1woKJZ/FvmQRGSmv7 q+a9bfn1lgmxNYNkEhLbWdCmYAmcMgkDo+lbFnqxb92d7pJ1MRmDS0iRAqurdxktojHy4FER kQeYuyLywPPRdz58fJA8k4nbjEUZfjw+nw4XpVkEWM5dPJuaYrT4bSoT78azmc2QtMKakuUa 5cucGHigF2tKkyD0JxZ/0RxV5iglCfhYpcedn43DeBLgxy+Nq2jgDWwd3wglK8L/Y6E7LK2x CNRzqk8/Xy7Ht5fDP9aRRB65ttbRzgLqDfXp5XjqDYexdQB0CWgDjoz+GH3w8/oPLqOfDnbp MqJZtS1r40bG6WX1lEGbr9+4YlHoL2Kl3yoQpVsG11/vhycuf0k/34+n588X/vfb+eMoZHZI vpKse9KUboD0bhHczs2Sud/OF75BH8GrotDD9tc09BHv/SnjKxa5OOAnuwm4/YkjntpyjASL C9Vl4YqtSAvA1vFOv9imZrSc9Z9qIzmrr9UB6v3wIaQagJvMy3E0pkubXZTIJVax4lzPiAKZ lszaP1alGSg3T0pPCPRGB5WFZ+r/1O/+GafgrAg2e6AsjEC5RhAC40CuOZSMswynusXW4WQM bear0h9HFvJ7SbhABD817nX1VXw8ibjvAAPpE/Wgnf85vgr5XqyLH8cPpfL7v8qebLmRHMf3 /QpHPe1G1HRYsl22N6IeqExKma28nIck+yXDZaurFF0+wsfM1H79AmQykwdI1zx0uwQgeYIg CIIAtbpQizkj1YIsjVktXBT7jXl/sJj5Qu9XqceNq17G5+enpMbW1Es9oHuzuzQVix20T/8N 5Bf25nxyTHqAbLKzk+x4N07XONDB4Rkc7F+ffuKbb7+9dfSmD1JKcb5/eEYbBbmQhIQ7Zpiz OtdCqeXZ7vL4ix4lSULMhHptDoowbfgSKNpLCFCzmQcFwp3kB4GYG/lmqW5NJRUet+ZNznuf q4r1Ik3uovXV0d2Pw7MWYE2NXH2F9yqaBpP1SzPN05/iARlLw+EyYS+NsLTK582o6KDCsBvL DZv5qWCxXURVFov6PKN/eoF6TE37penRMnw0qinJReOvBz6eAr2yNLbTnSqyfIekTct92gAS FG1O5rqXr72wDfpBAl/f91VmTpN6bgPNisp8kRae+rKyLFZ4q4hBfyvPrBpEuSfETA7C3BlC pZfZHDcyXMWidW9E6luUDB8yVlE6N9IIiQA38GNw6zZuDAWOtYknkseA3zWzY08AcUEgnhac ehJtSApeZ16OFgSB1wcGxXDXFSC0A9pZaLxMD6FF1IXVNkCynvvC8Qt0xorWE31sIJBW+gBF HiVV31Ss3oUGNZD+YcLLSGA9q0NjizfbAXT4RbOkkSGRy8bjyz3RVL57Z0HyUQyrgUrcUXfN okqu/Y92JK03uOCAFtcHIYJAAI6Bwk4RYWDHYD/uwguGsjBJ+lXWhVqJ4SpI9BDSQoW5+ij8 lqKz42VJbS65Pmrev70K7/Fp8xsCw/aAnsSOBuzztEpBz04MF1hEqPsq9LEtW1phQ7qRAZHS S+WP1CeSza9ypPJ+HbFCZniMOMZy9dLJIAyhdoh4G1OnQ3SXH5aEj0PRsdhLI1b5xQKJPKqw IupXu+y3yGZz9p/QnYiQ4x8Qs93qd8nEyCFtzwqWlX62sD4JDvbw/A3bS79lETwg4vuF2ymD 8NnTpvZgFcwEh68nOF6G+AuPbtHMZdh0T/wXUY6IssNaTyICRRFirqEjdmeNJTGE8ihr0OVa uy8KbY87QdKACNMzoho4lm1KEyWcwEVYOzNTuhQmO9igvSJFiq5gx6UU/JDk/CMS1EZQRwyx ncjLkRZFGZ5ypU6HKpR6Rb+pd3MMiBLi0YG0BuXcW+2Ql+j8TLxeyDpQreuggJQ63AdMJ2no xSFmTzwRgGqhC12bp/b0KfyFSDweao6kjOD4KEvybx471s8vihwUw5S6qzNocLjsNiEyNDF5 Xp18TGDXblJghJJgb4Gg8ySOVfhd81EJSRwYJ/GGUSwrz0FF7EhCKUU3o5hTaSrFwq4iVg0L 16yBVVVSFhxzfsAKpAwlSFZGPCvboQ5z8YujClW0UC3T6ur0eHYZnAupg8Li8S9GQXLlibg5 EdgryyZAEZ40ZEMR1RRV0y953pZWJiu6HPOUaiEF74abK6r0848av4vjL7swL4t4fN4A+khS M0zhHixFuqry4iSs24z+qrH45Um1ZFAKWRvkc5M0KJZN0qhJgyqGSR3/LnVQko9U7XXF/fJj sFrEVb9JY06f0zQ6scx/izLYOPXaqSMThRsUhFhtzqoNvlwKzsB4/vltKj83jVTBTk3GqCTA 4+hFiL7OsxPoAQxnSM0fSU8/Jk2T0+Pz8JlAXI/Js6+fIeR7scvTvprTIV2QSL6JC1UW5xez DwQCy7+cnRIbgkH05/l8xvttekNSiFeFkbRQeVUQOEdjigj/9OL7y5nPNCOVLDTtrDnPFwwY PPe8InRJQ90fUg2txDP9hX89TXTBio2kVaRJ0DyEa1/j8+jIDHQwoHL9aR/8GBJJTRZIAFmh tOR5f/+CUWDFncSD9E8zcotMmiQwSvQF1O7KDiCkGh0oaTSXMG2zhyE3HDPwt4oG1W/r1BPJ XZLljM52zx7vX54O99rNYRHXZWp4WAygfpEWMcYis4NPjF71sqjxFpFpXl7FJue59VNeVes1 SbCwW6f05j1RlFHZ0vrI8CaWLztP9AdZiLK0cAzGFKpNEfrqk1QYUdHfJtQkP2pQgQuiiEtv RVLJWtrNNccUn8E0McsN25raMv1NGEnCvcQTsr+XQxOEOMYMNfSojtvJRwMi/aQDg6piKX1U ECY+hWlcVR67Iia1aaoQJwyPfPwViXhgH7Wj9g3JMLhonyg2NXPv2ZLt0dvL7Z24TXbFjRUf cYBK+dpqWbQUxJZ2I3zV0pagkQB0l0BNfdWmRG0qJdvk4ur2ZqrLa1peeg5hLaesNXmXtWmV 8Z2437G9hdz4vXmHz5VW55dzzSiDQIx0YGwNAHOTgLh+Rk7ItQqWTqVdiDZpaaQawd8iRoY3 tkKTpbl1O6uNdQ3/LrgV+E+Do9j0zu5IJIRM2YDYo/UKg5iIDjOQRWWHhE5bhFNUVHhCgmp+ TmEa5Tnlo8KIDVecFhsYPfWqY3HsOT1MwSZb0AJAf2h9EeQkh1v1qFJKPU8i/pIn09iQzAIe xZxOmC2wTRGTrGbFM5FPOA4/90dSD9JYe8PQX6TlsILwnXGjBwhAUNmkwPuR9vaY7zDupR5d QEH6hYzobeZMxJSOmPFnTWc5W2K2tqi+rjA7jlH3hoPick2A7DyOE2LRpbCyC1guq4Lh1JjZ G2VaSM90CZwIh0NzBgt8fdWVHjMf69py2Zz25JlPInt9LHGX6E3NJ7I2DjVzMkOe/nEJw5Cx aw+sr3mc1rg04U+YgGVbdg0NK7Os3BreyBMxanyU94BGkvOWRWU1ZuCLbu9+6LmqC45cM0VS NcGYXlOf5IhFCXcAI522F0iEkzRbe08p2iG19tf9+/3T0V+wOpzFIZ6964MpAGszKoGA4Z1l mxlndgRXGMYqL4u0JZ9cChqQJllcc43317wu9FqVLqzkV145P6mFKhE71rbabLM6StSIN33S rXibLUx+G4GU5OL5Mu6jmoPIsApN8D13ukJbuuz4hJd/FKePFfFlumF1b9tp1SHInRhdDjcy WazMrko1tdAfDcAPFbf266fD69PFxdnlP2afdHRUxlzM16lwKpz0Lx13fkJ7Q5hEZMJEg+RC f5BhYebe2i/OfqPgc1/B5nsRC0d5jlkkc2/BJ17MqRdz5sV88WIuvR24PKHiqpgkZ/7+X3r8 Ik2iUypAitnEc6vDaVMiq/UXnj7N5l5GANTMRInsu3T5M7trCkHZynX8CV2epxtnNPgLDT6n wZeeLpz4+jCjQ+4bJL6FsS7Ti742axSwzoRhwnA44LHCboRIOM5Bq6AuwyYC0Pa6unTLBHWR tSkrCMx1nWaWO53CrRjPghWuas7XbpkptFTGD7QRRZe2VE2iz9C+QF2gR61TPeEyIrp2qfE0 HNuRbx1AX2C4wiy9Ya14rD9k2tbPe4ZaKl+y7+/eX9DL10kRjmnC9E7gb1BarjqOmjJu+tQm y+smhU2iaJG+Bi1U3zxrvMmNnZIHlXTAkOwHiD5OQNvlNXMyO6qdm0ed1Fhz3gjnIyf8uiIh t1uRUjdhdcwLaEon0k1X16CegT7NrCA6DhmtxsK+j3puU3a1J4okKlTicp3XOcxhwrOKDMKp 4sBPndSf22dN/vUTvvO+f/rX4+dftw+3n38+3d4/Hx4/v97+tYdyDvefD49v++8415+/Pf/1 SU7/ev/yuP959OP25X4vXOQnNhiC5D48vfw6Ojwe8PXm4f9uh9flSteIhCaCqnWP2kUKyheo Iy2cL7VFSFLd8No4zQsgulKtgY/JSMsaBcyJVg1VBlJgFZ7zB9Chew5O7Ti0ZCZ0RboEGaBR 6ovKM0YK7R/iMWCEvQbHgcNlUY4K/cuv57eno7unl/3R08vRj/3PZzPkgCQHTa2i2HvAsmxl JFgwwHMXzllMAl3SZh2lVaKfaS2E+0li5JbXgC5pXawoGEk4ap9Ow70tYb7Gr6vKpV7r5iNV AjqFuKQg8dmKKHeAm5nLDRScHBuRsgKleGBGFTnftbW8XWic2lbL2fwi7zIHUXQZDXR7Iv4Q zNC1CUhwoh/kRUf1/u3n4e4ff+9/Hd0Jhv7+cvv845cmU4ZpbJhTVewyC48iAhYnRHMA3DD/ MPKojkWd9ndN7smNOAxLV2/4/MxKRCsvdd7ffuBbsbvbt/39EX8UHcZHd/86vP04Yq+vT3cH gYpv326dEYii3J1HAhYlsBmz+XFVZtf2g+Zxwa7SZjan8+KobvKrdBManoSBMNwoabQQYUUe nu51G4Nq0YJih2hJeV4pZFtTn7S0OjC2KVBiVm+doSqXCwdW0a3dhZYcqCMYuN1dOIk2CdYU xKD4tZ07fRwjPqtRTW5ff/gGNWcuqycUcEf3aJMz9x41Pnzfv765ldXRydwtWYCpwdqh0PaP 1yJjaz5fEF9KTGCoocp2dhynS3ctkLuHdwLy+JSAUaslT4HXhSMnGYNxkE95bMT4UKsoYTMK OD/7QoHPZsQ+mrATF5gTsBaUkkXp7ovbSpYrlYPD8w/jgmWUCe42AbC+dZWDRVZulykx2Aox RQ50VjDLORy8AnI3YniesCIPajhqhhBO2SDUPmGaopVeJP4GGjLIUWoL4HVFRzgfp8dlrnZb koM2wKc+y2l6enjGt62mfq36s8wMG6AScTelA7s4dTkquzklOgXQJMDgN43Y7OVDz9vH+6eH o+L94dv+RcWSUnGmLBYqmrSPqpq+jBr6Uy9EQMzOaanADELNLlniLDlDElnZ2VwKp94/UzxM cHTzqa4dLFaK+TxsVfzn4dvLLaj+L0/vb4dHQmZn6WJYZ87gA+ZD2YdEkivVmxV3akcSTyW0 euLSxYQ4QLiSp6CQpTf86yxEEmpkQDuZ+jApMeHGegSqQOUUrydbokDWXOc5RyOBsC+gG+NU pIasukU20DTdYiCbLp0mwrbKdSqiyt3Z8WUfcTQLpBHeBNrXgNU6ai76qk43iMXCKIpzdLlo 0HBJY1Hzxo8N20e6QoNFxeUlIV7iiTak5rlX8jdGa/pL6K2vIvv26+H7o3zCfPdjf/c3HGMn Xpe3Arp1B+0+U5NcfPP10yetYRIvjy/a2ND2Eg7/iFl9bddHGYRkwbDMonWWNq23aROFWOn4 L6qFNd+UcsAECX3b9Rsjp2pfpAV2BCa7aJdKtGRemZKlBUawrVmxMkUKvrelR2CRgoqAOTU1 xlav30B7KKLqul/WwgVbZyKdJOOFwk6LqqxjUjeCruQcjo/5AuqcypM2O5a5NVSRyC9oqtIR HH1AHhug2ReTwtUJoz5tu9786mRu/dStoiYcVjhfXF+YskPD0GbxgYTVWx/DSopFSisP0RdD b4jMX5pNH0Sbq5NHmlVYquB684FR4jLX+ky0ALQF8ZjFDOOB0Ji78BsUsLAPmsrIjdw+LCjo JkTJCKVKBl2EpD6l2wGqCUEuwBT97gbB+thISL+7oKNCDGjht1pRjD4QpEyfvwHI6pyCtQks CweBj1YiB7qI/nRgJtdO3ewXN6lud9Iw2Y2eIMNAlB74KQkfdEFr8eqW8QElXIs2LOvxaKJv ppieEKTABhOw1kxTsdAynJaGU6oE4aV5b0gGhBspPwoMuI8uteikjZZ0rUoEQw8yVmNuq4QP rwQ1bGQMDgAqXoPoUgh5PN7/dfv+8w1jlbwdvr8/vb8ePUhz7+3L/vYI45b+r6b1Yc5X0JKw JLylwnv52bEmCxS+wdPl4rol3ykZVFpJv3wFeaIXmESMch9BEpaBYpDj6Fzog8HwtZXp+mOA +8YIaqRmYcGLCPT3ek3tx6tM8ozGSllpWAXwd0hejazXlnA6N4RndtO3zCgMA2WAPkmFnM6r FKSWIV6XscYf6GZdo9GsrTVe7aJmLpL66jqEdPLAS4cty9bmvozpw8i5KRd/shXtL+MoAHbf 07LmxrpQCHHaaJIsTk+8yNqLzELILsqrWL8e0JExl87gjZjdLY/1hV/M8H6vjCfvz/FCROmR Avr8cnh8+1sGG3rYv353LySFniSzpRujLMERsxNDKq7DqQHVMuLCYy3uU92GLfN29lm5ykBR ysabg3MvxVWX8vbr6chJgyLulHA6NXFRlq1qZ8wzRt8WxtcFw5SQhCsVRRFIL3CdL0o8sfC6 hg/opHRYAvwHyuGibIzEpd6ZGO0Uh5/7f7wdHgaV9lWQ3kn4iztvyxra0G9ZXYAwnGvDgiup AhbBBwikV1HCWYzpktICJlG/p4BTgFDD87TJWQvrD0vvyyIzTjyyk8sSJGi/7Ar5iRB3vZW6 XF/KW1a0Q5urUuxnpsObjiGHf5ODpo6+yeSDF71RW87WIhdUVHX6DPz2GP+Xng19WFfx/tv7 9+940Zg+vr69vGOoXd29mq1kCvj6ahpPDThecvICL5++Hv97pnmCaXTecP5DDxtiKgYJgf8P fCguvgRdjs7LgXI8N8XiJl9M5noVa1LehPdXO0wHVq01uW/SCyrrQm2C4bUwrmwSJ5b8sFV8 2syWs+Nj7UApCNexlwdR0+kWDcMn7UXa4iZu8L/AaVIs0r5YYIrwxoMUytdEMjZI/5Ro1NCW JF227ldxuvFftUuSrqg52ncWGTVdkga2ROHJjlYms6M4mHbngT31uxRysMb19FsrxORCdAvV k0BJKHpCqm1suPYfC9M2KtwP+K7FvBm6UVuWgVilBVl8PaKGxafWIjmyopZyW5CbnkCCkGrK wlBWpnpAvVna8LqMWcusk8bIkJJmu3PbvaV0y/GI38adCNk3tVxA1JM5eqcT5UqWCFE0GaMW kVjow0SCapKBnHVbrTCh4oUvSYcbPKVZRAkmXhc0vIATacKjtXfgNnlfrVohU61h3+QuRNzW mT7YI6peuJ0RpcMRfEUtX38D7Damddsxh+09YJk7VLjIOOJmzXBBugZhid2WNVqsQH5PSzaO h0O77VgzrTBnehIrON1wZgP6o/Lp+fXzEaameH+Wu2dy+/jdiOtZMYxrAlK8LEmPGQOPjzc6 2A5NJCqjZdd+1Q55Tbls8QVGV43p1zwchsg+wTfoLWuoA9P2CrQRUG/i0ni1Fe6gdOsDreH+ HVUFXT5NbRSc6yiaBna479Bhk/e/8lwiqjF5BAdozXklpZC0cKLjwCSD//v1+fCIzgTQm4f3 t/2/9/CP/dvdH3/88T+a8RMfu4giV8g40zMG/Q3Ahnz7MlKIMrAP3iWCFoeu5Tv9LmRgNegB fu+sAZp8u5UYEFDltmJt4q7YetvQvvQSLRprnZYRFvPKAaB5sfk6O7PBwmWjGbBfbKwUXMPJ SJBchkiEaVzSnToVpXXUZayGwxHvVGlzt0Oy8dZAyLM8jBT3vBObvsepRwuEshBQwycGDhYd vkiytrJpVhwrcBMt7Y+mE/l/wLBmn0E8CZms1TOeRrVm4eEFHRa7ouE8hrUnTbc2U63lfjjZ plAM/C11mvvbt9sjVGbu8K7BEHPD8Dk3FqZKYONN7l+50yZeaKVwOiJLFds36IaoT8BBFV8b pnZESEOcefph1xrVMEBFCyePxhH8wIOUOkbzAgagEpnpCLj/C1Ca/F/VVmJ3BPKrJvA2ymyx JUKuhlNirc6HA7ooK1mXZncVCg++i0I2EkhxQjWcr/ELtAP2FvvJ5R2Z0g0PLk6+Y5FXWNAb SiX8gUUFqvs2xbO43TatqOHY1mx185VTntIc7YIGQvcN29LqER6+cOPRitaNgrBDL4fCafuJ 2P8CBMk2Y22IoGwK0L15iEQ8m/2gGNkvNa+UsBtmtSlY1ST6UdRCKCsDMfQgrkHcYKTgulxi iA8zWL2O486BW999BQErQC4wvJeVX9KRuBQxMKsic6fZxQyNsfmig/IWXHKnvhMP1jIbTlM3 10WbTNBpnsQQSc5PC5S/9HSOa442gU9CQVsNYUpVM8uEZR1HjBhLxSPOjqYQLQNhVk2bmrOW TRqiCr3JvuJ0mvGZs1iDMc9AvSWv58cRxyXvFNkwDH/rivmXw+vdPw1Br5uV2/3rG+7SqBBH T//cv9x+3+u74borUnoK1YaGZtOyHibb2bTU6AobGUljH63WUblxTkBw7gHwMP6VYQtAemoW ukLKNBgmHOzBf2rSbtdxSwe1EN4geVqgPZXWsARFnG6+nBIVL0b7OTKZO/MLvOtzeGfC4yVd U2YlxvD1cJhxbejUoC57QhdDogcJ39m2BmmC+/DLgUw+vzHX/4BuooqKJCo9bQDfllqUHQEd /TqssiJWLH0lgeZsXO0IYNeZcYAEcCdMeb5y8F34Uj4n18E1KvGWCUCOnOU7IICwiCmBkxYY gkiTc1ZZy7TOQaW1qxhfbRtdE9chFtA2OliMzPMItk3Ktj7MlXCH0W0S6jsCKt71oD1M2wrE ysXQAPCJKVMngP28hxQ7U8uFip+nTYNcFpdRhxeutOYsTwOLVIoh+rm2dYX2/3jMC0Wm8AEA --W/nzBZO5zC0uMSeA-- From mboxrd@z Thu Jan 1 00:00:00 1970 Received: from mga02.intel.com (mga02.intel.com [134.134.136.20]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by smtp.subspace.kernel.org (Postfix) with ESMTPS id 66EB72C80 for ; Sat, 16 Oct 2021 05:09:47 +0000 (UTC) X-IronPort-AV: E=McAfee;i="6200,9189,10138"; a="215195609" X-IronPort-AV: E=Sophos;i="5.85,377,1624345200"; d="gz'50?scan'50,208,50";a="215195609" Received: from orsmga004.jf.intel.com ([10.7.209.38]) by orsmga101.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 15 Oct 2021 22:09:46 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.85,377,1624345200"; d="gz'50?scan'50,208,50";a="593180656" Received: from lkp-server02.sh.intel.com (HELO 08b2c502c3de) ([10.239.97.151]) by orsmga004.jf.intel.com with ESMTP; 15 Oct 2021 22:09:43 -0700 Received: from kbuild by 08b2c502c3de with local (Exim 4.92) (envelope-from ) id 1mbbx0-0008kN-MB; Sat, 16 Oct 2021 05:09:42 +0000 Date: Sat, 16 Oct 2021 13:09:09 +0800 From: kernel test robot To: Cezary Rojewski , alsa-devel@alsa-project.org Cc: llvm@lists.linux.dev, kbuild-all@lists.01.org, pierre-louis.bossart@linux.intel.com, Cezary Rojewski , tiwai@suse.com, hdegoede@redhat.com, broonie@kernel.org, Amadeusz =?utf-8?B?U8WCYXdpxYRza2k=?= Subject: Re: [PATCH 4/5] ALSA: hda: Simplify DMIC-in-NHLT check Message-ID: <202110161337.9axj2Teh-lkp@intel.com> References: <20211015164047.44492-5-cezary.rojewski@intel.com> Precedence: bulk X-Mailing-List: llvm@lists.linux.dev List-Id: List-Subscribe: List-Unsubscribe: MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="W/nzBZO5zC0uMSeA" Content-Disposition: inline In-Reply-To: <20211015164047.44492-5-cezary.rojewski@intel.com> User-Agent: Mutt/1.10.1 (2018-07-13) --W/nzBZO5zC0uMSeA Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Cezary, Thank you for the patch! Yet something to improve: [auto build test ERROR on broonie-sound/for-next] [also build test ERROR on tiwai-sound/for-next v5.15-rc5 next-20211015] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Cezary-Rojewski/ALSA-hda-New-NHLT-functions-and-cleanup/20211016-004154 base: https://git.kernel.org/pub/scm/linux/kernel/git/broonie/sound.git for-next config: riscv-randconfig-r042-20211016 (attached as .config) compiler: clang version 14.0.0 (https://github.com/llvm/llvm-project 6069a6a5049497a32a50a49661c2f4169078bdba) reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install riscv cross compiling tool for clang build # apt-get install binutils-riscv64-linux-gnu # https://github.com/0day-ci/linux/commit/2d319eabf52e504c98ef5c0fdd812347b41edd00 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Cezary-Rojewski/ALSA-hda-New-NHLT-functions-and-cleanup/20211016-004154 git checkout 2d319eabf52e504c98ef5c0fdd812347b41edd00 # save the attached .config to linux build tree mkdir build_dir COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross W=1 O=build_dir ARCH=riscv SHELL=/bin/bash sound/hda/ If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): In file included from sound/hda/intel-dsp-config.c:13: include/sound/intel-nhlt.h:159:6: warning: no previous prototype for function 'intel_nhlt_has_endpoint_type' [-Wmissing-prototypes] bool intel_nhlt_has_endpoint_type(struct acpi_table_nhlt *nhlt, u8 link_type) ^ include/sound/intel-nhlt.h:159:1: note: declare 'static' if the function is not intended to be used outside of this translation unit bool intel_nhlt_has_endpoint_type(struct acpi_table_nhlt *nhlt, u8 link_type) ^ static include/sound/intel-nhlt.h:165:1: warning: no previous prototype for function 'intel_nhlt_get_endpoint_blob' [-Wmissing-prototypes] intel_nhlt_get_endpoint_blob(struct acpi_table_nhlt *nhlt, ^ include/sound/intel-nhlt.h:164:1: note: declare 'static' if the function is not intended to be used outside of this translation unit struct nhlt_specific_cfg * ^ static >> sound/hda/intel-dsp-config.c:387:42: error: use of undeclared identifier 'NHLT_LINK_DMIC' if (intel_nhlt_has_endpoint_type(nhlt, NHLT_LINK_DMIC)) ^ >> sound/hda/intel-dsp-config.c:387:42: error: use of undeclared identifier 'NHLT_LINK_DMIC' >> sound/hda/intel-dsp-config.c:387:42: error: use of undeclared identifier 'NHLT_LINK_DMIC' 2 warnings and 3 errors generated. vim +/NHLT_LINK_DMIC +387 sound/hda/intel-dsp-config.c 379 380 static int snd_intel_dsp_check_dmic(struct pci_dev *pci) 381 { 382 struct acpi_table_nhlt *nhlt; 383 int ret = 0; 384 385 nhlt = intel_nhlt_init(); 386 if (nhlt) { > 387 if (intel_nhlt_has_endpoint_type(nhlt, NHLT_LINK_DMIC)) 388 ret = 1; 389 intel_nhlt_free(nhlt); 390 } 391 return ret; 392 } 393 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --W/nzBZO5zC0uMSeA Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICMBWamEAAy5jb25maWcAnDzLcuO2svvzFapkkyySSLL8ure8gEhQQkQSDABKsjcsjayZ 6B6P5ZLkSebvTzfAB0CCcs6dykzM7gbQQDf6BcA//uvHAXk/H75uzvvt5uXl++DL7nV33Jx3 z4PP+5fd/w5CPki5GtCQqV+BON6/vv/923F/2n4bXP86uv51+Mtxez1Y7I6vu5dBcHj9vP/y Du33h9d//fivgKcRmxVBUCypkIynhaJr9fDD9mXz+mXwbXc8Ad1gNPl1+Otw8NOX/fl/fvsN /v26Px4Px99eXr59Ld6Oh//bbc+DzeT+8/XV3c12d/NpeD963tzc7Da326vN6Pl+c31393x9 9Wm3/Xz78w/VqLNm2IehxQqTRRCTdPbwvQbiZ007mgzhT4UjEhvE8TJp6AHmJ47D7ogA0x2E TfvYonM7APbm0DuRSTHjilssuoiC5yrLlRfP0piltINKeZEJHrGYFlFaEKVEQ8LEH8WKi0UD meYsDhVLaKHIFJpILqzR1FxQAvNKIw7/AInEpiDwHwczrT8vg9Pu/P7WqMBU8AVNC9AAmWTW wClTBU2XBRGwLCxh6uFqXDPOkwzZVVTi2D8OSviKCsHFYH8avB7OOFC9rjwgcbWwP/zgzKWQ JFYWMKQRyWOlOfCA51yqlCT04YefXg+vu0ar5KNcsixoplAC8P+Bih0+iQrmxR85zanNbI0P BJeySGjCxSMKhARzL10uacymnvnOyZLCysEgJIf9iRyQOK4kAUIdnN4/nb6fzruvjSRmNKWC BVrmcs5XzUzamCKmSxr78cGcZa7+hDwhLHVhkiU+omLOqEC+H7udJ5IhZS+iM86cpCEoSdmz 0xTJIy4CGpYay+xdLzMiJC1b1IttTzKk03wWSVcou9fnweFza3V9S5SAHrGSPWuvaXkFoKoL yXPgzWhgZ7qaAtY/VbISqNp/BYvpk6liwQL2FgWpWV3Bjp8/4S5KeGpPEYAZjMFDFniUyrRi wHSrJ6cLNpsXgsoCTYTwr1CHXUdt6TSLit/1zPXk4NOZWT0U0pWa7R3GbViNkQlKk0wB59oU 1r1V8CWP81QR8ejdcSWVjTMsZflvanP69+AMcxtsgIHTeXM+DTbb7eH99bx//dKSCTQoSBBw GMvoXj0Eaoi2rw3aI4xMskYK8FHbp5BJtMuh7rJciX/AXW1agS8meUwU07qhZyeCfCB9ypU+ FoCzuYfPgq5Bi5SHaWmI7eYtEPgLqfsotd2D6oDykPrgSpCA1uyVK+HOpDYHC/ODZSAWtcB5 YIPnYCxAry2XzdGPgCbOWaQeRreNnrFULcC5RLRNc2Xrk6ZiaUjXngWr9rwM5mCq9M6vZCK3 f+6e3192x8Hn3eb8ftydNLicpwdbS3gmeJ5JW2jgaYKZ3xNpYjO+h78SnbHQWpESKMKE2IOU 4Ah20BMVl0YL6ZIFPZ7RUICWwu7wqVjFERWRZ/CESZ9lq8cFq27NY06DRcZBQGjQFBeOvTAi IbniurFP2x9lJKFTsBkBUeWO7MEVy7F3voLG5NHT9zRe4DJpFyGsAFJ/kwT6Nj4EA5ims7CY PTEfq4CZAmbcdASQ+MkVIIDWT/7G8RNvNZ04309SWUxOOVdFe8dBMMozsHvsiaJr1hLkIiFp 4Cx7m0zCD/61NzGX8w2WKaCZ0ukGWocGb0yWsyfQSUOA5Qsn5YyqBIxM0QRWLcl6/FKJj4zf t4w3l2xduksLqg2DHXZba0XjCNZPWJ1MCQQsUR5bU45ySKlan7BT7fhoSUtwkGTrYO64IZpx L/+SzVISR5Y4NeuRo946PIl8FkPOwdhYMQ/jju/jRS5aDq9GknDJYJbl0kpP59D1lAjB7Khq gbSPiexCCmIvVw3VS4n7TrGltcKoCtrD2lNfBHbOAqPTMKRha4lRk4s6YKvki0Dos1gmMLDt Y7JgNJxUVr5Mn7Pd8fPh+HXzut0N6LfdK/huAoY+QO8NoVTjkr1jabvmG7F2F/9wmKrDZWLG KHSAYvS22aGQnBEFed3CJ/6YTJ3dEudTr7BlzH2JDbYHMYsZrQIea48jDt1LzCSYbNhmPOnD zokIwbdaopLzPIogXcgI9K0XiIDJdyyIokkREkUwRWcRC6oYyfLmmEb7AzZtcLQ3kfbKu1lx RXw1ntqhvwC3tWwlCklCwMemYLghvwPHlj7cXcKTtRWb6P4KObWMQZJYAdSS6FZWxp1VkEkD gXXiUSSpehj+HQzNH4eFCPYQbElI4zEibfFvkqx+NI1poKocOOGhnW9qihUBBdQBEomLeQ4m OZ62O8mzjAuYfg6SmVJrS0jIqRcmQiyJuomWY3Lr7ItAxi3AZYP+gWv2EMg86ULnKwqJkTVI BDafEhE/wnfhmMRsZgorOseWD7UIMPiDgMHi18SBhwCU52W3LStrzQ7ikBqzAOJXyMjBy8RE REz4wyqklaDSS68vBeSSld6xii+dUasUaLA7HjfnjcOPo3JUCNw/JAajkVYGtvEaBttlxE5k umPo0bOXzRlt1+D8/W3XDKvVQCyvxsweqITeTJgvGNTKBjIJY10DaQxbjSCpLyaDPZbNHyWq 9GjmWrnEF3SpPKXdPMcsFCRxRVCJ+PT+9nY4YuU1S/LWBA259llZ4qQ6nla18mUOpbt2tt9x UovKpz0Vo+HQq0aAGl/3oq7cVk53Q8tnPj0gwIo7K2tVLIcjb+cLuqaBP18QRM6LMHcF0PZ7 TY6kCw4HIDu8oW5ZnjVIQl09bSqCNGJgR3LL6ADEcQegDeCHkjI6Y2s3h2oKFfaARpsPf0Hq Bo5482X3Ffxwl53MthhJO3UBCERLGDuHHlQQL5zvykiZSpnjzFd/gOVYUQFTA4fH0OeXftdX k+h0BQ7CUbS+aTkF4s1x++f+DJsbRPLL8+4NGnuXwMjWjYN/B0kX4OltbwG2XgFLCwrSALcS lVXjKq5ruwYdsy38UEHVJXKsYketzKKMstNApx26QA1Z2u80KIMHOzzA2g84zZnsOqWmoqsp 55wvWkhItzGpUmyW81x2XRAYIV28KyueXQKNxKgfVknlVlyrh8WTAki4FIseq9yySwANS5fd gwzBA6FbJ5l3aub0QCqRA9FqzpSO1tqkMsGAoCznt0UhKCwfxH7GxWMRjUoAeBKfUiR4wNBL pYNm7NIHx5SgHAYtjG9GPn30YT0JR0MmaYBB9QUUGBd0qZbOe5toXkFVFcjAiW3/ERzlwu06 eax4VUa1R0ElpGulFXXhFNY12lPfbFEkHFc4b+dRBpyEHtXChNgE/OzJu4RONHwpkm5F0TrI rEqrimchX6WmAQR/3Dlni2ElwNIHixXkFr6MSAf1euoe26lH47o2AeHsAsIjVIrVusWrh6Kb CDU7TsG+Vt7eLqDazWGv5WAZDE09KQxH7SzQl4+7QXiZhkLeUOWfxuwHfPnLp80JApV/G3f8 djx83r+Ymnlz/AJkJbt9IyHPmqw6zqxKM1WudWEkR2XwgDiL81nlDFu52gcOqg7NYOmwumJ7 Cx0JSEzAH6wIx6ywt6JhMLCXKJaR+ULb5eYIBKXgWw6ZjiwXl5qTX8i5WApfZRnZKyRIeiFp KESy8ihEkjC+mlaCo3/vtu/nzaeXnb4RMNClg7PloKcsjRKFm9MpXbkeG7+0+ay3GW7mTpm9 7EsGgmU+VS/xmHI6C9SAfVVUg8WqsMtQac5ryfdNVa9Dsvt6OH4fJBeitYvZbJUmJyTNiVtL rHNkg/OVE01jK5E3Y9hnOHVvMdifTOmdC5mUfJi0bJR2iP5zL8z2BUUd8Zc3EjYTrfFMMFK0 ylsLaTFbiVxb1ASUk4SheJgM728qipRCCAveVh9MLRLHrMYUIlwSzH32NNC16+ajDoOtdI74 z3EtvC7m+nsH1aNEPtQ1laeMc0uoT9PcqYg+XUU89hVEn6RVjmvBdOh64VhIFxAKBgprAqqm jhpWlazKCfvCdSpwUXEMx13N8kzfrLhkZjOF1oQGjNS3CkLMysl2uzudBsnhdX8+HFsmPCRJ W73K/dXXtsL3b7Gm95R2j2XD3bf9djcIj/tvTpnUxHCBfYTa+rCSoS7QytqbHQLZEW6Pae5X J8QTmSW9SFjTxCclGDaRLeY6Vx7snoo/ciYWPrXVU2ilg0E7iUUIUa2J04Ak7WEYX/aMkQnW Js6IZGH/3GHVTD2ER5G/U0PTxDrd9njUenkE60zpI0IqxviPv5bBFUYHSN7ROIRtD6/n4+EF T1+fa81zVoNAiLgkboXc5WKNdeR1ka58Rh+7iBT8O9KFE6drRcEQ9/crAiL0HaYPSKivYoX9 Y1vP1ZEaVW6Nj2b24cyD/q1SrHGQXuzyCvxtwvrxEFiAq4ov6IAuUPauopmomucpxCigK/2M OoS4hy6sOnhlXan9QDgVGc36iRIaMqLoBfWqKFBcVxf2gggSqXwHMaaXuryMTNeOYHfaf3ld bY47vRuCA/wgTTHSql9h+3DlWBkEVD21oJmJ6zzQqoHLeIXsX6WCrh9T3murC5asb/oXBnwf EaOrda8e63KTwpTwkjwbqguMQqYJGhuQrF/lG5JLHc2Z7N0VtPgDNvWFHQFmMyTF3QWdIkJB RHDzgQJXVJf0t1byUh/6KVmqIH2drfopFhQPhR8/6KeiusTVggnWEx0jGle36N0ssONkx2JS Y61H95MP2KvJLvG3hDQGQ+4P+oJsMMNrlh9TXByNxP24KL+dtI4BqkDvgm0wydThE3jM/Qui d23b0bJhfMqWlMV6p/czY+0NMHYTL1sXRjXDbiDD3+4MunHvp+qQpcNbAOkrRBmNhernzyG9 sHt/vx2PPrAmhqTdR3V29uEc6jK9P4ap4xv6+vx22L+61rygaaiPt1uBYwkt7/tE7bgyizq3 uCt4qqbeiTgs1Eyd/tqft3/+g9hLruA/poK5ap8ZWf3392YliOu4aEX79TAQQoX2TBPIlNrf RcxJWATMrRVCw1an5RR/2W6Oz4NPx/3zF/dA7pGmivi4CG9ux/fNqOxuPLwf21zgYFjBNSck 1hkkyVjIeAeAl0sDXcHE0ufVsI02J/mFWBdqXeh6kqcLSJ1pOmPu7dsai9mJ745ZPUKuj9M8 3BbBHCL7LjhBRoogpMsqQBGbt/0z4wNphOzRk6qtkuz61ncxsx4zk8V67ZsJNr25+6ApGKRx l2Ox1pgruwLVw3NzcLbflmnugLerTyTHmJqIR1RXqyxoqrdzGmf20YEDhrxNzZ1XEEuVZJFz uchAwBznqbOPQavSkGBZ3G+whBkoYiJZEUHNa4yO4kf749e/0F+8HMCAHZtZRSu9gWzWa5Cu fYR459aqPK6VIPVozsXIpp0+0jFT9xXbajoslwkqnfJwm9OqVXmGsHQri5Vs4pivHKx3sUzt PBTg8HyMlWi6FLRz7wvNa9myEBQPUSyNozPnKM58F2wcdGAyS1gHuBp1QFgj7nZoP76oOgR9 CVdMdNgp2JU1PNoLOQeJaXFGtrgRFWnfWZ25uqX67pYw5/vvp8GzLgw5ex4iXB1OYh2TiyL2 B8NTNSpI5r+zpnFrf4iN0WHM4KOIM39ybEJZts4m63VB/SNgjA445r8sLFmSYd0vabul5qBh zrq46haCtSzuzmvKZxoOCzWQ+gI9PutD/6ifFFjFOYbXBT9vMNg4Hs6H7eGlvdAySLBMxBUP uP88p6LRtw+sOlfJ7f+LCbf3rNN7tc0ri5TQxNkeWA52L/YgoFz3qEcpgmRyCxJNl4L46nsz zmf48q6yS99bCDQL+sK0cm/JlWi8ug8OnF9E1Z10aJZZWB/nRGzwE/37vHs97fGgoxZ/vZA/ d9N4vANDpX1RASEZgbnKIhKgrVHYQgo8801osQJ3lzlnPIitbyu0L9boW+O19U2VsKvtiIcI X+I5Ze0UmntlEesraIO9pMo8sVsUCVNs1rnUqXkO2NgIwCtjJCnf3Zgaa0K8W+y/WWLzsGv3 5bgZfK7IjNe333n0EHRcUtiJXmep7LERyndMESrLJvPI/hnzRdUO4gEMrg2aTX0BMmDx4ApP NZ2ezIGGF7Xg098dQPiYkoQ5XOnjI+OVG5jje3ikRS6W4E6cYzOD4LF7IxGg4C9F6w2GdSom MLjsxCzpMqFO2lqKw4GbdHd/2nqdUXg9vl4XkDv5tBbChOTRnVg2hyjDvu+sWJS0LkdpENii kXNUFMj7q7Gc9Fytw9PFuJDeZzPgemMuczCUuKIsoE4mM2c3k/FoeTMcIqe+m3/g6WPn+r92 bwGkiwH1vj0gWSjv74ZjElsiZjIe3w+HV86kNGzsu28oKZhEISE+j8fX19a9wwoxnY9ub52y eoXRw98PffnAPAlurq7HdqtQjm7u/I46C+YgsNx7wV24By3hqljrO+dYK+gpLdU5tnuzrSyk yzCi1i7Bw+4CMjPrwoeuXM3Zgj5C/Ov4t2Ds1W9KwXUnvuKHwYDWjCc+hTHYmM5IYN0QK8EJ Wd/c3V47ttdg7q+CnmJsScBCVdzdzzMqfcIpiSgdDfXLisYeu/OoT3ent6NhtXeatdDQvgTV whZESojjVXk5rTTkf29OYOZP5+P7V/2w4vQn2OXnwfm4eT3h6IOX/SsYcLAH+zf80bXy/3Vr O8PAswzMxjJ/yY4Gc94XuhRLf8FXaxGJA3yoFfhuUddq5p6sNmCjaZUGkilJSUEsSnzgZ7+S WmYkbZ24GpDOOPzbrCRocdhU/Wzjay7TB5KVEEu7q60JSLy7YWuQr0EdRubSuQ9hvlHN8QHZ w2h818LEfDYzt+HMM31K6WB0dT8Z/AR+fLeCvz93ucI7/W4WVUEKPreXvganXD7ac7g4juHk 9e393F0XK3XJ8q6VmG+Ozya6+Y0PsIlzIUbYaaL+RDllctyGxmzqgQqyaoNKRfcQAyhxnwqZ BiLwUUN6Z6CWA0A4h8wNkNKfoRsamacThp16PQ9SzDLDkN1/rlG+5IAktPU4pYQUqby+vvPA 44kHSJN8NFyMPJgouRuObG3wSa3WFJ8eGEUAe7TZnrFO2g1mlPI9l8A5k1iXPpyyFMsSzy9H 0FBdIkdv2Ibrba7LSU4U0ODwKqP3EoymMQ+OdQYuIuf2tkbbty8MQLKoBdK/0iPks+74mGK2 bjU0tllmeL9pEUhDPE38tYE0CxJMIj8kLDucKi9Zw9f0wpznq87juRpkHnsy7sTODXZKJlcj H8KUNZzwsMbh2yKv9lvNk3Uh0lng61qq5GrsQ1Qnbl2E/bC2AZsDYR8Gl98Hr05v/fMKAiW8 OteQrFk2B5vV9A0pMVaJksoHmJOCwdazvarAg+BD+7SYOI9oGujEDnEDMZ6s7d3e279deoSs xV8MA1Q7Pqy2fAB/s8S/MCrzFUJ0E/wVTG7OYqB2RxUhGwdFIK59Qb5NojOYTocaxQCSUjfd t/FpvuSq50Yk0umue7FLmCfWuNb+5LEaSKqrq6dsPMERPVOBKD5+xDtJQUzszLaCdyE6VfCA ufMbETQYgjDvCYURk8ilssoutt507b0JFGAKnQjFqSbjsk45aCf+iijHWKI09UV5n8VCpH6z +x/GrqXLbRxX/5Vaziz6jh7WazELWZJtdYm2YskuJRufmqSmO+emUzmVZG7Pv78AqQdJAXRv UjG/TyRF8QGQAHg1sxKXYRoq4ueXHyD8vvwJlcJ6FL9//kZWBtb9rVqGIcumqY77apWpxO3q qXT4l96/HRlNX2xCj1ZXJk5b5Fm08Zk3XRh/UlU4V+RCNqKiGYq2MYRUZ8voz49nPhjUwmyR TphLNDZisz8ZTspTItR8lmChsFmewP3l5XOMs9sD5Azpv79+/0Ef3RqZ134URnaJkBiHROJg J4oyiWK7QSE19X1670M2ST1Eh5JW4+UUknrcZwRV52BWoa3rYWMmHWUYqsCu1vFal3UOve3C ltzVIAFmEVM4oHHoWV+x7rJ4sIu61tTh8YjA9KV/TBU35+FfeFSgPtHD3/6Ab/flvw8vf/zr 5dMn0En/MbJ+ef36y0foaX83NAX5dVjjOglLEYaH+4z/Wvkw1HzOoM8GaRi5cJCNzifmfGZk PJ6OXION5nJmqxc491LTSZlf6yOpPEu0wkgb8hjCXBEtsGvyK4+ixIwmrzyhqFf1qvcggjQn 2kIIGdU+8LhpuhLVddWdlWjF9VWqceT8PAXi+1X6nznG6P7Q5Ghj6aAwpm9yoAo64IjCYEZv raXZZJxazg4Q4V8/bJKUklEQfKzENFdrqaBnBvS2i5zkUazl0T6OHLURfRIH/PgR1xjEdMfj A31mIKcspaMwb3rCTtzZb3oSOa1NS5C0fZbzaJHrPdt4qmVsiyU28JOD2nu2d4o0wrmu+U5w fgz5YruwCDY+7Rcv8YO0ZWuo/V01b4u+KuwX7dozP0syRmIKAn1pt7mDJzx+Ocag1gZPfFN1 74/vLqBT8uORt1Kf0du2ZYwhkOK0YtQJN1rzluub0xAcGU+Cm+bU5rr9TYaGr9DQtJljaKHV /Xqj/U8Qsb8+f8HF9x9KVHr+9PztB23dpibvE0yFt4tjwiqbIy/PFG0Q+9xEfT5tT/3u8uHD 7aR2QMyvhvH8LI1CVu/043cleY6voIkPdvVH6ZX/ZKu9gmVzihM2jaG0Xi1l0nhGQCF4qHI5 2pKu2um3zwgWBCVh/gtICmeIoStRc5G6SUxRHjtMuYm8M7y+yyczedmcvBYawuzot7XkHJg5 sGspUWU0C9JYQhmah3FCz3iSITpQjdHRFHQxknXoqNJaM24h/FwfyCjNou0ePn75rM5KCBvd FvVpGc7iUe5o0ecHCwvFEbKQMSr269tauelbqMLrx/9dK6EA3fwoTVVEx9mpe5K0q6/S07Q9 vMfovmjWcqx6jMKMEUXkDlzX56LFDc0fr1CdlwcYYDAxfPqMVk4wW8hiv/+PfoS0ro32niCG 9mdqscXXhjpo+8YqASSzrkfTwDE0c+TPYYpOu0mesx6pz+/M2MBqFNjCnxT8Vn6XJozGnExt 1wF1ZKrIhyT0lr0C5U/4x/O3b6CxyI+7UjnlcwkaY40mbWYdHFqMwnk1RsNvnd2zLFZ/SDIe PkMu2+p8ft+iPwu9WkoipbisGcO+cyhAisZ6BKkvo4zZV61VNG2X+D4Z4xTx8ilvt6unqtoh 5igGvTGptIce/3iM4KV3llmYZDvVmeymtlZhYM1TuXoAdAWO35xA67oWq0dAGfBTRm6YCGHg IohtGnekFbOCq+MHP0hWBYu2SDldQBF4XULhg6MfcZqEOh7DleH+x+fEeTU0LHnKQkvXo6P7 Ec/ocpFHZQAz52lL79AoGhdSbURPw3rmO+KiY23xWRRno8C8fBueGIOlaXItGA1S4rxsvsB+ Sm9wKka3SZkIYRJ3yu6SMbkyORhDGtE7ORKWHqI3cndb4SvxXSU37PjMRXnbyQ09a0iXfRhs bO3P9Fun1pl5T02mvvz5Ddb59fqTl20EgoK1mo2pVjh8hRxbK2mPrpAluR56VGow0KmrePhy COI2dcjOLRJO7GLaYpdGybr1+7YugtQ1X0PPyuyepUnNVlOqpX5Xupu4zDMviqwqoo5kJf2a Hz/cej2osEyet3DMOTnMNuEqMU3C9VtjchQ7+jK2fxIzcfVUg+YNSPauuTDqo5T281VTQhOk rN41TiuC8T9VH6YIozRj+0HfdvACaWy1iEzOfLul+3diWHEvxRZvRLFSn0Qa+saJJvG9Zx+x VT+whC3HWYASfnrnSiwaWODpmzrGfu8EQf1C7x8/5kcTerwiJ9isutG5BDHAp6ch4t3ly6Oy TrTJ+BSBSvj6+e3HT9AyHGJzvt/DEmYG0FVNBEurGcJonO9ZtZ4sbcpT+p/ISvm//N/nUe8X z9/NoMhP/qj4wp/+fNLmtwUpuwCmFr1iJsZYcmpZD9TprZ6J/ySokk1taUnv9rXer4kX1F+8 +/L8nxfzncfti0N1NstV6Z0y4dDfRAH4th61A2QyUv7h9IZh/DAU2r1c/JComcwjZoCAeSL1 IuYJ/RTMBHwO4GoVhiCaFeyLh5S7n86IvIHOOUmZSiapzxWXVh5lY2tS/IToQ2NfmXcjpBOM 9IRYKqElgqoaJoFxpqOjqBGyqqVN7GyfXoK3r0R9pA2nKLYxfGxE3tyQm5H9dc6pqJpTr37c rZg8vnUbdOn0pi+CLGIswDUezJSXJucOuEymfJm7vGm5vUucDJjutLHSGOhWVtjcKlxDn9kT jtG9CYOiGRuJKl8Nvfs2XRHQB1DodyGsgoznMfxd855OXUcOM9DDkxXUaiKVuSJqK+C425CX xW2b9zDJv9ezBTkvzYJIPUWNbCnryBCTenTWMdkqS3p9TmlzEWhDs0cLD1AgvJgyXBjrdcuL Ps02kWaaNiHFU+D50TodZ6vYWEF1hDwCNQg++yg9hCZKU+1Pt+pKS7cTqSPdkKbmAHR5H5Ef 8yVxldP2HXYyqpdNDPiOfmLY3VlIwCCBry0PU91AWYJPpS9JE1J3Lea2BmRH8ognUNWQOz1E uq5kTun2ptdSgGwiR4s2fRhHPvUsmkf5cUDtNmv19zdRQlS0rMZQtJISRzH58lJbouuNWBa6 ym6DWAZNWD/cx2FMK2ETRZ4hd2JLbTtMHOg/Gz8iPrQEMo8GgohoDQQS3SBKAyJVxqqKCEHn cFcwylKy/RCKGQ1oHktiG24SR/5ycQr8ZD0I9vllX6llc+MT8Kkpd3V3WCPnPvLCkKrxuYdJ jNat5wrDqhHSSt/ugsGFZK3YtWXK5lJ0vucFZLOVWZZFlLAmF4/lfeRPUIaMjWOVOJ43WruS ytvw+QdoRdSJ6uy4ViYbnyrfIBgS/YII3wuolcJkaL3QBGIOyBhAF8t1wNcnBA3Igg3hxZeX fTL4DLDxaf8+CdFdweDEjP+9zuFOPw0O3TNnzqH3XS6MKJdTb9gVuDFPAEN92+XHtfv08iSe SZFN0w+tu2Ew+EF7JW/9GxllFwdEddFPkqqtvS83pdfR4y0XW6qWGC93oFTXibBLfFAUd+tM EUiD3Z5CojCJOgLoQU2/9HlvmjVN8L6J/LSjTpQ0RuDp0XBnAOSonEwOiFRlKHdcI4f6EPsh 0eL1VuSm8q8hbUXP7zMFz7ZsmXfN6lPagmgi/FpsaB8pBYPkevaDgBymGMoaxA9n9s2pOICM whwBzSy51Lg6jGIQE88ImMbtBpjRlZeQ69WlgBQRAwKBwI+YXDdBcC/XYEMMJwnEXF0Bcg97 FMQC96dGSuwxO9wGyc8cbyAZMblIIZRRModGCP2EGgvodKymHyrXOA7p03eD4+zJkkH5mUsg S5iSobqZewURRRt6zPnr7ORexBFt6Tcz2i4IU1IVnAuqjrvA34piFlfWdTknMJfRKtjcm0R8 j5DcJbg7ERBcvQDglBgAIqV7v0gpRUGDqdEkUmqyEBnRASCVmM8hNSRToyDcMMCGmi0kQM4W bZEmlipDMDYB2TePfaH2lOuuJ+9an4lFD8OVeBcEkoSsGUBJ6rmlK+Rk5NbnzFCWyGQBXR4G 7nF1wssfUtsbi2jEXRoxrgit4AIwzU8/CVy0nRzduOf+ius8wptJ256xg18YZ0Ha+U04yKRE v4dkSoaD5PBP6jsAsPnTXUxBTsq818ssN4oKpnpiFFai8Dce0SEBCHwGiHG3i3gx0RWbRDiQ LCCrL9Ft6FytuuKAavYSZZvCA+INJRDGZMF93yWRa5rvhICFilKYCj9Iy9Qn5s687JI0oABo uZTqEfUxDzxC9cP0YSDTw4DKqC8SYjrsD6KgFttetL5HfhGJuNcdSaHOdjTChuolmE7WXbSR T/S3a53HaUyI/tfeD3xyPFz7NGB2LybKUxomSUj5DOqM1C/X5SKQsUDAAcSryXSid6l0nAvR BJXEmySNekIBU1B83FPtAiAMkQN1emRSqgOhDmpmBSMilzzyBhbN899KsRy35uTj6Wm6PGo5 2ZtAFflA3ZGt4qlS4bhm+qmtjnNEVo/IjzelXYo8SxtojMg55rTaY3p6/vHx90+vvz20by8/ Pv/x8vrzx8P+9T8vb19fzS2nOdMls9vevCjCzJC7oqM77XoyqoLcFwhmiGgctXPAPhyH9x6O A/JhZXHCP7oIyus+gVaWXpxRvUWd31AFjhGcHEV+qOszHvaus5XJXUvmO8kKZM4zawz5HmLg CTexA0k29u6Q+sw/A8/7C7wuF9mdMpUF5sbVNlNgbaoFdv1T2Xv+nbqMjlvO7vJE5l+1WXiv 2U4ygqqL0R6HjeelbtLoRuomPYY3GORuzvkY9bF/p7Tuchzu5DMFK3HnA2sgtNAA1SrcTGVN eo+TBPdKRH377jdRJ0TBneJqMcAMUTI+dmJILk3L4uI05OeehbseLbrvvK70j3NS5FEUWwV0 Ib3th+32TmtI3h3KeJGIu49OLsVu2mjrfqebVseqyzv25Sb8/CHnKKPvhbOY2X/QXZm+9P27 c1V7vlPYfHWDu627IvTDyjUd5U0tEt/zsXWMGb+IsFOXpDtjHHpe1W3HZ6YZQ9q12vmMVoZs 40/Rbh04uuC7cOmn4iIkXpg6Rt++LQu+57fYEFxLwCJ9y4NV411EQ7b5ZFc63ik5izTF89sn /armom4LYt0ve+V8P5lictks9ei2S0aUYAvfsD11Xa0CBS8fn7SD3+IldhpdSzZ/qVuM5CVe ROYGgytG4p1+DaBMHqOSWzEIdEjULS28SlK3a/KOtqnVM9mLvLgVgrLSMWiGJdlWvzRwCTDz 759f5a3zUxS0lf2r2JWW3I8pmjnN0hchXcWL27egZNP9FZ/twsSnNPcJtGzzpFsleggwG13y sbwP0kQFueRJIIpBp+MszhQFw8Pummrgbg9aWIemKCkbWWRAa0eZZ+7ZyfQyixJfPF35vIc2 8AZ2uw4pAqMX0faJqgnrgrkDC5sSFQLGuR+fHtUROnjTTIjM7qCUDPtllXLiKskno11JUDks GA+gC8zjNsxCvh+owByw8OZcNGgg7WGBR/fT7rbvHK1c+FKg41tibVsjUwco/+waACBtRSDi 5WzvUaGG5eeycx8hdDpm8wdOFA3ycaKAAwiorewjet6YCm/KbbiiCFeb5v4a0pl+RFgHFf2/ JeMNSPxdF+ueOZgmPVIKcTKuakHA9knBtDRtRar7TyyJkV0ZmRyTgY7VeJrts6xxpoRn/rHJ MmuVqrt7LKlZSBaRbqiDmRFOMy9Z5YV2lURWaZbRR5cLTm37SVRag63yhFRya1eC0/aA/dS1 bquzDIrGVubYD/ZtRRp6rvoLU6hmPrhMa2PajR5RM2wuiKMDzirmgSxFsK6icpWTgTDp4SXr r6RKO9dzv0lDbuGbbb70NOXntMrnMTW3b01Uqb185avCvUx29SaJhzsc4nRGh0Xk+SvZABNX kQd0wuP7FAaidoiYb4do+UQ6Fd23JkEGfnz++Pb68uXl44+316+fP35/UO5dy5UZ6+04JIzW Dkv047+ekVEZFUHmrAfVlOmWmTmmgU6UizCE6bnvCuivJmr72ak005h1zKURFzNNOc0Ze7xt F/teRE17yqJetydTKYk1JWuObsa3VOmk3eUMGzaRU60nn8F1chSvprQxG74vS0Ia8yN19Mhz 1tNw2NNT5+5hYrDqMCcU/VOz8UKHFAqE2NusCVoBT40fJCHR5RsRRuFqLuhrsa3OZU66IkiC 8mS03tDySJSzNnogW0VOVkd2qfm5/oBaLS8bPYl0Y6/O8ynEKo1qaUQizykIAyXLaHsQNUk8 bVIyRoOcJ08HAfJ4gjs0qxl2xEASdky0cwb3SSD1D+JC+9iM81kYwDDgg7csLMnhpduux5WJ W2Ygi93qdUEFD+I7SsfjIS9ztNKh4wMopRBdMXDCrrhuIbfxpOCmzWjT1j61Ep87cVnXSw8E ymmwc+6TO5Kx7zMl8jf0zYxdPVQwPE5Nn+uRVRcCente8gbtULuL0L1WFg6GRO9aaCGdRVQH RNU9N6EZLGGFJFhxUEVP9QNwEzKdYTSsjMIspSuXH+EPFVFAo0z6+wqhVGINVQPxznsr3dNZ gbUqamA+Y2FmkAJywbAoPvWSu/wYhVFEtrrEUt0zcsFM0XRJV+oe/TbjhTRR6K5s3TWgMZM1 AigOEp/sB7DcxCHzsdzWqBoPxJmEmoksCtlfpHPPwCFs1VCScPeQRdggIV3W0hC1jjKFAhgn lJ/7wqGUTBONGAdHg8UppDYpIrsZ6oDxJmMhUwM0wTSjt3JMFmirf4UVuD+R5ERkt9D0a7aF SI8oi5R6fPap7uWhYUXrQ8PSz7XRxqefatM0opsckJjpx6J9l2T3vjRo5/Q0JBGyh6/1/AVz hN3QSNs6p3wPNUaRw+LClTEq4/dK2aXDnfWt3V0+4A1I1Fu2V5hnYx6iJ2EJZUzFpeRybgW9 PW/x7O05mnXptrerEYh8IejGkv3pUhy64lzhcU6PYSnJJ+bNgjXUb1KP7ChrTzMdi33GQdAg BRvailknvQv8kDJx1TniGjBtD8/HCeN5vrC6QLQ5c+2byeoYpyiNFYk0ie9NZWtXuzVltaeh Yc0+8tU1F1TmUtjfnk5siEubez1Xuy2jZNjc9ul+nlJ7ul0FeemKRoQ39OKceYv3aRpsyCun TU5ypJoI1O3Ij0Oy+VBND0J6lKv9iYAcDeudDhtLyYlcYj5fl3HDg2iEaUPhTos744hp6oYd 3JLgKLXa2eq2hm5NTk2+rbdapMxi3DY0U46nvt7VpjIjTSgkiiEFTtxpm2QRDHUF+Nvzt99x /40Idnrd52yYVQxvXreXa8htsZR68Bj4oeLElvqVSJhatnjLuHmRk5a+3N0xlyxR6dQqKCe5 Be6qZmdebIjYo+iWm8uJTKFg0fWwFLSn5rR/D19rR63C+MBui3dQVQK/pnFh2wLiJaB4U3fx T5h/1nBT5TI2a7eKqoMcvD3lBl+vnC/55d63xV5glt/3VvvjNcKrO9tHJpm+r8RNnsETGLYi h+Fz3QEDZ1BoVxyq+epg3G94+frx9dPL28Pr28PvL1++wf/w8gdtBxmfkhGmD4nnxXYjqTjn jR/T21MT5Ti0tx7UySylBuuKNUpVWog4rprzzdbE/WWY7aFsCvp4Rg6KvJE3ALfWTbF6U59g BOd6dfTSdOY5L607iZZUuS/S9uQd8EDKRblvL+aXUmnqEjMjxxEoavquAY1CFKraq2gf/pb/ /PT59aF4bd9e4U2+v779HW/k/vfn336+PeM+k9kDMIwiPGa0w1/KRRZYfv7+7cvzfx+qr7/h fZd3yimLVUtAGnzKoiXaAiHGOUZNKY/V+Vg1N/ugenwLZ9X0WhxPl2uVX/QajEnjxai3oh+o id4iK9uUiEyGf+XdGf8M14VMky69L2my2ktHnWFrryHD0TT1/tDbTfqIl8w5h8R1X9mTG0xI dj7KRIHJ4lI21jfuVhUR+3wfkMqRHFdFfkYr3kMpViNEYs21pHU8ZLwbKJcARNr8WM0RvafO 0T5/fflizYmSKK+kn+8jMF9pJHSX7vbB82BNE1Eb3Y59GEVZTFG3p+p2qHFPIEiy0n6phdNf fc9/usC3bOidlIUOCz4sFK5Xle1El9XVoiXPWxZK1dRlfnssw6j3Tf1q4eyqeqiPt0c0b6xF sM09yu/W4L/Pj/vb7r2XeMGmrIM4Dz2mPeqmRitW+JOlqU8J8Br3eDw1eEeXl2Qfipz6BL+W 9a3poVxReZFxM9/CGU8I+s4zlX+NUR/34xCCtvGypPT45XH8ClVe4os0/SNkewj9Tfzk/mzL A1DRw/9Tdm3dbeNI+q/4ad/mrEiKF82eeYBISmLMWwhSovuFx52o0z7j2Fk7OdP977cKJCVc CpT3wYld9RHXAlAAClWJE6kmOldkWR2Fpa+QPPLEl8QGQeiSbVSwss0wYBnbrfzwlMpv3q+o Ks+KtB9g9cVfyw5EoKLLVzUZR/9Ah6Fq8bR/Q4VpkuA8wR+Qptb1o3DwvZZTBYB/Ga8wiOjx 2Dur3cpblytLh1lOIW70WcMekgyGYVMEobOh9sckNnKtxajKbTU0W5C/xGL8JY1OVvCuxIcX JfO8PiYP0Uw4DxInSEjBvkJS78DcG5DA+7Tq5deXFlRhqawGwqnqgxVIo4itYOnna99NdytS /GQ0Y7eKUO0gnRvtl2b31bD2Tseds7ckB7ulesg/g2g2Du/JAHMGmq+88BgmJ0s1ZtDaa508 tYCyFiQHhiRvw/AjELrTqhLdx/Vrd83uDUVrxLRJNbQ5iOeJH8jrGAnadPnDtNqFw+lzvycn k2OGIbSrHgfGxt1YpjCYPOoUOqqv65Xvx27oLupy03It57ZtsmRPLtAXjrLiXy1htm9PX7+d tcVfhHIxdtPo5qkq0yGLy0C5OBuZ0ANoLIgbKXOtjJuKD2k8sLIPg4i+aBebzWldAVJphFdT dq8wS8OEk7fRxnG3enZX9iYgjZRNUNdrejmsvPATBI56cye+BKUCiphYjN+EeodKMzQYvnFO 6h5NUPfpsI381dEbdrbFrzzllqMM3DzWbemtA2Nywz3YUPMoUC2uNebaJtCwv4WfLFLcII2M bLNyez1NJLvkMfDIRa2KFMj2kJXo+TcOPGhAZ6W6ixaIih+yLRutXcLApkhpsLWWjcoNF7nR Ejf0NS4sn7t67awMMi8DH7os8qycwEyqThyXK04rxVahZBh0o8ehEnjrBW4YyU/TFW5SL3wW uFqiIkZlcgx9fVBLjIF1ikGvzjaOiMQcUhySOvLXwQJr+BS6jiYp142PSRzYYUsVZmZnLl9i x6liK2ifELVTnnKfgrJlHe5Hz34Mc4xtgyUF5eaYGQeQE3nhdbeYYXpNMQTCbqv1exPXe+3k ZVuBAmjMz1nTwE7uc1pQJruI2BeO23nmHIHDPWmM48U6t/msF+J/TF1LLA4xv8I20X76Mz6T 2+9oMxPRErHFL+849BJu27jvO2MjNp5+LOvsDUbjEse0w+cua+61jsE4U5fY9WId3r09fj/f /f7rjz/Ob9Nbc2kJ3m1hV5ugQ7FrOkATp/QPMkn6fTrDFSe6yleJfN4Ef4sn/MeUX07tFW4M P7sszxtYfA1GXNUPkAczGNBd+3SbZ+on/IHTaSGDTAsZdFq7qkmzfTmkZZIx5RRSVKk9TByi nxAA/5FfQjYtrFZL34paVDVXGzXdwX4KpFCeZhB83DMlMhlmLh1FXano73k6wlaTxpMWrH6b lXtSXP6cowkaj7ywN8Q41mpZF/SdFeKJCFgyPyuoE2388AF2lK5yhiBTJ7GTk4K5yFqKSrh+ pHNioKBA77RaclnBW+ogEljpLtPA+y09H2DjHBtr66AbCxEh1gbgTiKeF9n44omZjTlG07Zx m+xInRRgzcO12up6/IgLCXRJjCQPSi7JfOBt9rlLtbaauJQ15ZWrOBjE0s63AzpJtwm+Mi7j wtoCI85m2ima98GR/fxcSJZBB0z97yE2IBeP6Hmc6DKMXMuIQB6dLfe0ZLiH48MqVOyoOZKU eJk+uIEyeOTufmaqzhmBerRLXZlWMP9m1EkjcO8fGnW+8xLVDHkiwUY7Ti3DWfB18TlWVVJV jkprYUuit1wL+wpYay090NwrKdSF/nnMmiIrrXPBqYD9GW0Gg8n1zAnorSt+61gUGuyGOZTy oD82VepWWGIuComxdInxRkfQeNztLGKq3E3gbLIFtadv1742lUt+reW0ExaRDqeFWAkDanWq SfFkpipUTQZj/yl+ta408aJ7r+ksM8+cS7ZNxRJ+SC1xMrAxOEzRFnNG0VahxaID5/+C1TSz KGpxVkEe1JDanVjIt49f/v389O3Pn3f/dYc3t5OxuxGKFc+V45xxDCR7zNTIlchbiAx5mYKs CVwR923i+rYQBTNofLFyA0SYgxKo0f1HbglAesWZdi8EiCVoeEmPOQ1l8Xp9RVH2jFRDBJ5k AnrlSOZhROKzVdGNMlie1En5H313FeY1VYJtEjirkM4fFK8+Lkk/AxfM9HiDSjqffG9Pwn1D hOfvQRHm6IX6miJoO7C4kGqvfsuZV3qY6ilzw6BoToFXXSn7fcM/h4pz4zWKykF/YDBMMtIh tpJgmYwvdlRSLT8WnAhDmicmMUvjjR+p9KRgabnHQzEjncMpSWuVxNPP18Es0Rt2KkCRVImf oPtUClQZjYlUYpH1aYMspYmmIlfkNnnmEq2RPJQMfRPAElvJ3StyYj2uvgn/l+cqtRo3oQOs NgOrM6McTRUPFk9xyD/iE2WO/ZiVLW0xIkpm0SFFEnq8ciTGbT4JvtoDHfruaoiO6YriwYKe 2lf7AvtsSI9p2dI82xdmH9bdeuUMHWu0lKo69wZlNypTMUmVc+xNNIs34XjSrffM6J7ELiFa BVjiROrDC0Fts6ynniJdmWKnrI0O1kWREkVhorkEzVsZmZ5Iz9jA2baRbFB6IQlLOxEVXU8r ZitnRT0ZEcwiM9qh6h9ge0F0i6BrQsjXrhqAaKLaop2MbN/3fHECase0/c7icBd7ljU5s7kj Bv5eeEu1snP2oH9uJL5WKypS1GhjMmu99oUW002ZzJiaRBofKm+v0rIyyfYVRVODCl3pySdL fvNnve07Sk8W5Sq5M8bIUD4byRavqcDfFZHFLl6sGAm3DSRkaSMIVhEn1JtcePuI+hVNLfTy 3lfN3nEd22DKq5zpn+R9sA7WlvOUaUGyOfZBdlm4vm201XF/aPQMm6xus4TaTAtukXqu8UmR bmx5CJ78DEDMmxmL3N6Qgok8zl+2tQe3TBU3JO/YW+ImAO+h2Ekeug7JP4SRouQTQfS4NhSA cD3WSBNuckU3m2RCEUEyqE2CYHJq9AQmrItTozeQLxYT+J7lbWpfsK/I8erKKtkzjGf7go01 sCSknXqQGF0RVbnj4eoHyhzzaL0io0aosKpMe+1kU0PA8kIH2zFgnmv2hcwdEk7044QQZvz2 YvDMW5GRojTRIqRhDEooIn9Oxp8rUvLG2zme5aAQDbwF+SjkXcdFzM0KNKmZLdT1KoLGFwWa Meh6lygtiiUs81CO39J/BWtjGhQJU5Lf8a1B0K8hZ3LHHMUt90SOWcY+630g8Nxxych0MyDY ZXojIPmQ7Zi+WdjGiXpoP4PxtikwyXWVkMQDQcaQndOFklGHI2syZldasAKnjHyCMO03Yn1x P/Y16GOp1ot1Iho93qlkxcnfRLjMh/o2TCkZAlliV5YEf7Qet2JGR3OAtCJmB5SYWubapxjk xw/7srPp3ZCQcCeLt+CnQ8bb3JyFJy/AWnmU3RLMpqW4ToR0tD3elTe21ui75zW+G23l/3h9 u9u9nc/vXx6fz3dx3eH91Phs4fX799cXCfr6A63Q34lP/qmEi5vqveNobmy5RJJBnC13l0io g+nGpp9dEuL6Lmxm1ElmSphgpZA7zYGd8S4z1qeZ28dHS1QotdTuoV0qNr6cwrp1plJaGF1+ 9Zi01H3KJOhiAK/AdVaTZChZfPptHa5XN4X4PmvuT1WVLI6IsTK2dV9wxYTMx+dUOeykybYd UfdpWmxJi38VVzDVB57KxQcnww4v+5P8Ac3H9kPJitQ2FvHDor2HLWR85AmVbNFGjho1ZHzA gv0xnXCJHmHfn1+/PX25+/H8+BP+/v6uj4/RJTLL6NcTEqLfQwWSxC5qV1xbfRAHI8kSBEbH aT78LcDxiC62OZ7TwDgUP5guQj9U1DqhvYZeUfv+48WETRKD1mR2g0EDi8pQa18uhewIfLtZ OT45pj8gRFoBer44IuseY6HcHLSfbS5XZ0ADy7YeMdQATbbLxtC4zlRy1Zrzy/n98R25xtAQ qR3WMH8urwr4qmYZ8NuNudNaIqJA1e4yay23Q70gXgLQZmYjkQ7wPPcO++5RLivZWOJl+a1F dETd0lWmtHDgNT3dfB8v6zg3Pj//5+nl5fxmNrxRGeHFeHnUASb6f2CI3agO9Vcfx66z5RYU CNF69BBfaAuzL4R7fnOtMUS3Pf8Fgpu9vP98+/X9/PLzMqwE3uQmICnS96TuNkeDYPqNqQVX xB9FHmO9cTSgiGeRaF4+aVQRb2/kOsG09cHSkL+/oqv0u/88/fzT3qh0Fjj/LxZEGM0O6bGg BeOjnWomTHkv0CBT/BdjayDxxCYMjfYKEQvbirMo0n27q/eMzkEYHePv9eUMbBy+VKTpeYOW 5+OYXJ6trpcdC7VnsMMcujbLibIhz/FC187RTRgUfrhwvHsFBY7FYaMMC1crSylCx4nsnOFw shVPsG/kfL+mU79fr/XLz4nu+8YR/8QJHDLQpQRYU1W8970oIOk+WYQ89gPZw8jM2CZuRDPa gceVSY+55+f6KdyV4VHVHFm2k7UrwrelGlhTXd8SE7xdytfG8feF5X8ogZBoIWR4ZLciJyDD JEqAcEUnGTo2uhbvWOL1PdHnE8M2FoHtOeT7LxmxpkvjrY1LzpHje7nl0eMF07ur0F3W+qct 9g2FZQK6/vaDyOCjSYYE0FiZYW0ipCIp9ANipI6PMqYLZo2X8tDx1iR9DC5rFDHlkefYLm9m gEuIxEi3ScS+LYIbc3Mm+t6zXdqMhwhlNTT33ooetRd3jANfat6C9ZtoFRF1EBzPD5mF5a+I thQc+ZGUwti4No5HDfyZY2vHC58n1As4FbYhpoGxtMbNqWDxIto4wXCKk5uatwbHOFAt+c5m Rtdx4QQRMeKREUYbK8PWEoK9sfvqlXFRYAtfIaE8xVGexlgoBQyXyPAATQF9Z+XSZsMKyP3r RllhAJAjsMlhtSVauGlhLo5QYqgaIBd6cVmemtYPHHLMIccWp1SCrJcnboT4tuu+GRARmsFI n+pm8EL9nuZCtn7hkA0IZHv7jcyY6W1IQv0Poz6U4MZZsCMR5wfJaSiq+L6zmTYI0L7NfeNS S3DGx6gM/p39m9GI8bzcOHshNyecF66nRieRWb7q6J5ABJRqPjFoTQaYa5+apHnLPNc46p85 ZFieKyAbOCM2MS3jrq/bOFwYgYWhPMNVGJQ6BwzVP5/MCB2yRoJltSuaELAnoMoBOsnaIRWz dsc2UbhZlEKB2Sxdu7T50XNXLIupDYPEtE3EF4jnkNb1Js7tqXrK7Nt53VpWJmQS986a6kTu MdcNU4ozqtgWjk8UvUuY41HKHi7QxfZAjArgbLyIyGRi0LMkvvHQbQdnuktu0gRnaY+GgIhO MnRIPRU57tI8gQBqNRR0YiJAOq0SI2dxIhAAQmyRHhJDFOnUYgb0iNIwRzo9sWHohxWd98aS 1oZW/5AT3uikTUjoHUiPiP31ibMoomci1ELDxQUf/TP7ZHcIDv2ISIIElncNM6RkHWx06OcW MsYnvT7IiNGOlvw4cinPGSqCkIORQc1ONQtAl2PENyLSGzY53sA2hjncFXKcEIs1H6FNb0JJ YNtLuU4nqOqRovLdqDHgvR95DHhlq4zxSHTfsPpAcNEQULYVEkeRit9StKKpDnGmvllW+caL bmFXVBWF6rhR2PukCT6moy7Yhc1RXmdm/vBrqcff4uJl72E4MD4c4kTh6JlqsTgVHoPdcYeB scv0NL1zUE5rx2CXT+9fzs/Pjy/n11/vGJ10NiLRApLOxmYDvjPJOPVeEFE7yCorsxZDlTVZ yvXyqg8aLIlU7V7/Dkj4ciHp4jbXcjdwScbZFvuzb9MG9q3DoaPios7wHS+IruSiL/dpI6Kx 0h4aR4u0tuIdr0F4oIly9vAvV2aPcjJHfr07vL7/RJeRP99en5/xKZv+4FzIRBD2sCM5qG9l kdOjtB4s/kkRsG3igre22qbT56qsCWqDPgygnYa2JbhtizI0u4LVuTue6wWdc5pjhFsLfAFW TVbRhgQKDBracqmswlr7sLiAMOzpMsoSc/bCN11WmpiCDmkqOrrkIpIm4m502eV9ojEw+s51 Vod6USwyXjtO0N/EeIGrY+SxDaMF7ZQMCaqucqWW7WO9Vn2k164gL3bXpAWvAstrVNl7a5EW O/+CwqtD+qGmApuuTpeBC8JUfUCYZmGp7MJS3RKWDq2W7R3M88hxqI68MEBKqNX/iom19a2J WBCgQzdDaDC1KQa1khfS0Q24sPK3tsYc/B1+P5iLGk614yvhu/j58f3ddOwh1k584SYfYXQi NrrRaq3q51/kUFZt+s87Ue+2atC5wNfzD9B03u/QIDPm2d3vv37ebfN7XHhh23T3/fHv+cL/ 8fn99e73893L+fz1/PV/INGzktLh/PxDXDF/f3073z29/PE6f4n1yr4/fnt6+Sb5r5aXmySO VGeRQnTQO9SSz3nxadvZJb0QPZNYTEXFwn6KqcvFieWqjYwUESt8Xhv3j1+/nX/+d/Lr8fkf sDSeoepfz3dv5//99fR2HtWSEXK5gv8pmvD88vj78/mroatg+qCoZPUB/bkvFdodEgxR1lS5 XdhGmP7g0YS0DYvvQbXhPEVtmHREL/rjkNVZkhqiP9Nh625v6AsI2+9GBngmr+mbMycrjLnx wpvMuG8lLsxf1ORxEQnlY/Mr0cFa6VlO+DFuvN4HBG7Pkn06Im1Jkd15GT1Cdq6zwYWuqsHk dJEWmRo/bSK6tE9loRwmXdtRp09iuKdHnu7VpsrTfdXiAw+NrE+e8UPdpPji+iGMA8/oyAfh 58y+1KPdKLe19a7FR7G5vhNiNbolG51JSruqWhz27kALZLzF8A97o2dguwD/HffUYyFRO61y MIxg13LMts0UnVAuenViDaiKGlmNGzEqThwERSwku6xvO/k5xygu+BR/d1KpD4DrtYR+E43S G12P2jL87/pOb1O4Dxy2OvCL58tHMjJnHciHMt34bOQen2rCzsOsFTRwxe/TB7ksqPOP61lW grpCin3959/vT18en+/yx79h20EvhwclWciF4/uTmUdUsazqcVsSp6rLvSmSL3yFfEvj4K5X C/N00UNVByxjD8Nko5dDVW5gg00yp1t249vpYGKhfZTiiqlHLes0HY0e+rUCT7zpOb2tDaQE 0LObuWFWEbYVZc4MWnNIGnZSN6ETd9IvhrIrhm2326HDCFeSkfPb048/z2/QCtcdqr6yTmq1 bepAWTf1j3nj0JFhyEUJm2l1IFRHPTVJ9bNpHGhYHWrjuDiaWSDNM7Xdskao0KItGRRYMk2p 2SYxtcSVaetq/ofNrhmN9/RPJ7+MR/v5hXCScNHYZYEmO1OdZ7bi3R7PWm1q3A2wsuRbnbjj OqVjsTN5c9RZqr+FkXbIEp1EquDjr3p2MxW+ytEHkZW7M8aQxMQi21UrFUc4qlyA016NNBw2 y0dw0FQfgU3NR075k7784+385fX7j9f389e7L3KsEm32/y1VD4ln2nAoa1yHrMdfyoPMSZyx 9UgiKS0j3xCvrozR/6edbr6RFUMTfXqQkzUtbftJLtU5hp2mNKxLxu32vSbZPtSkgZfIClTV gZ+yVn0nRQeXK9KCt5nsiGamXBah8VT3DHvHv/nPpy//pqx4Lx91JWe7FKZUjLxsng1LqdhP Ls1U22xXwNaDlOAL6FORxU1VDl5Enw5egA3MtDcQ49N3/TDcBuvkl8V4Nq4+3xeHv8LTl9wf V+qwg3+paDkSpOhyyLLK1eDaArBtUPEsUXs/nFChK/eq9y7RpOjRy9DSxPes9Fauv2FGwqzJ SA+BI/PkrmQTwrEo+LRVthy6Uv3ISB906CbjQ1WU5LN/gRGezVZagoLoGumZXtA0rmKNfCFu VOsMQRdngpZT5rFXqi30/fC5s3gtlUEN+2wr1HRRo9Wj9jZr6p70wvWJytf+aqnAwPf7frpp sqc9RWXWv9W9uMlcjEILaRtfTXSb07QLRgt+Leijdzm0kGnJd9QCJMebV+QtcZWYw2MdWs/f 6PJach0GylW/lT0HjJIaMwxkqVPz2N84sgmFIEthoU359P+yd1HV2hxuj+mm5c51tuQ0LgAZ 95xd7jmb/6Ps6poTx5X2X6HO1e7FnsU2NuZS2Aa8scCxDGHmxpWTYTPUSSCVkKqd8+tffdlI crfJezMT1I/1rVar1eru96cmOYK2wxjUi5iX4+m/v3m/yy2pWs5H2hXg50kEv2Nvh6cjFwGF OKG5yeg3/kMGDljS303urcZCnD5hxYFaaN9Ygs9HWuyrbNlrjXjki31S57yft9cb1d5qn0Lj EvlTOD6S6r0SMQtXny/7L40WL48fP0ePfHOvz+9PPx3u2/V7/X58fu5zZH1R6G4h7f2h49bN ovHzNVttaoS6ykhVzzNS93mxRoAefyFgUm7RTAiXp3Z5DZ3wLZx9TW2R2svh623n8e0iVLMf o4vqtOukXB8ufx9fLiIio5SXRr+Jvr08vnNxqj8ju16syJrlsKNau6WEdzdB6lmSdZ6gHVHK p1Xo9O76S8u8V3VHkvDtPJ+L2GJQL2YpSfqWBCLVzEWidGRAvs7As77E9NQNMpUUDYW1xpK8 F8IykGNVJ7brNJHQSj9G0iqpN7xWYGLrRPFf75en8b9MABM6JNPSzEh0vuqqKyC4sl1Q1zua 9Rcxp4yObdAJSzAV33DJf9Hv1j5EuEdEuknSVXRbILXZ5lnrS9BuS7Vr3BNUF01VVLon57Vf xXFJ4/HeLk8QyHwefs9YAFGyzfcZlL5XOfWqhpsMdN+yYGqaJbXpKRNugKE8FaVJ+HLdVtCK MIHTCZbFdNI8pNCCN0DRFKjZ6huNwwjonk5ictK5EBDNrKDPV0I8M0UJi2CGfTEIXJ6II6hR FQuTwI1F5WByVnj+GLJktBF2aCKHBj3YaSF7Dgihb8tkIQw2Bz6ViDHUsZIS2FcRFi2CLxct TDxUNp14dTyG8lcUd6r0J/p94MPu0bpKkIISiO1245eEdRgDzWf8KDMbE6h2C+o+fetPC742 QYsGAxCab2XMD6E5mFF+RgQmbbXj6cD0F+kBsI6qXRyPwTFlIeSAr6OmfPnHrSjAyhznc8Dj Y4EXslifPwJcIvCD4fXEZ5bv+dOh3hW9MkvA9aRo/KROEeuk61BEjl85Wd9SuwYZZvScj/mm 7b6RHtrmziYlHFougjXGYbMgNC++gTlHMcgFJAW23jcgUz+GbWVNzOQLmDiGHq9auYBbjz8x L866dDIbh8CCEOkQ23LimnTzt77zpjWBjYqvbCeu4yFGKwABtEPw9BDYoymjkT8Bp+H8fhKD UXC76VeGyRjgEGL6gkxzwCF81wuJPwWvejqAMOsC9wLp+r1P+f5tfU/Ldp2fT3/wY8mtJU4Y nfmI8fZ1eHH7qw6TL5VGbhAlfIItasqlaYJcoHejJbwF3UY0OymXDnVzMExXzuUGIbtq4t2A CHu3ivckorIwYYzQ4fUP2If0q1RzSWG4LLZdR8NjxhH7YQRiXdk1p6IkJY6K2cEkJBVOxcG9 u+Z/OVszwCwo7OKkBagX5oOQosQVmAbG1Qj1NzsaY7GTrkcRx2lNv0/3w0PL6c1ueNNl6x1+ zpJ5bFCvxB2k9rFAIldIFMzgKBBXyDTyh3MZOhpL3jp17BGMkb8hfFR16nmzGytT3vL2JAeh s2OH04dwfTUkOxhRZTQl5XNeWfublb6m9k/XKpItJf3AeTyxUa48rfzbyDTy/mKdmU82BHVj PPIUdy6VsERbpraxJ9nnAoxEgOS5iHUTIyENOZkRz9sPkF3u0tIeupItHYpy4ZkiYRKlI0qM uMpZjn6Z06Uwy3TpLVW6Qcw5MbKOwTp9UzYEy/guQMukyQKvLRcI5xnZ1sJRBNL7HWSPQ2gp nPohRXBijRL5ikN2YeEwD/tsPS8XeuBAepmskD4uCzmuZvcqL2pYVh2VbhHfIRJA0e/LKsUz V3dV+NSXDNofN6Sco5kojDfGZ0edU/zz1iWVbAJiatpC8Ckg+SbS59oblRL4mrR0+l848Vwx dIZwanKPUWXII5JC509JWonV1NAlNXStV4LBqB7kGDj+rnVqH2bFneCJmZuZSBAo8/Xuoikt WGu7ZCUyOXGzZk6YHVhHpcObR0IqfAoZJlIDoO89Wjd33NYJnk6J4e28lgtRBiFnc1L1WVfh DF+3xSQvR+Et7brFEPZtnYgng26RtvnjdSdqKiItNtos59uF8Wit7TyRqbCoM/r5QaZath76 c2CbkAQup+yyXphYTWv18HYqy4qFqDnrUVYZKd0tWX4htNLy8hSWmczPpfI8g08mFi5xV08b ntnur24QtvurbW+Xo7DnLZA3Q6t0IrZn4IrahaDbImFJnjdYATwd8eSoq9XMCy5pwL4KTQh0 oWPQpTnHdbC29t0O/9k4DhENSqmPQ3l1b+XAxyKjV4KVG4FNgTiFZVWysUNbykJE/L6BI5fA iItwrI7V1jZlEYl0EYEP8HcLu/niN5//OR9kKIy1JIv6UYs7dMmcF+x72WFvVhURj8Mn6dS6 gBFiaBs3yU51miFTxJ082Ar5/EAQjTxkmuRv+mHw1XZNP5x9ej9/nP++jFa/3g7vf+xGz5+H j4vlOlWvuVvQtsxllX2z7KF1QpMxSyvEl1yGOdCvCWeR0BtkKPpkm9aUeQnvM8mq4oV1o4LZ dBUFWW/24OB1qA0/wHLJz5tCCr+ViGeRFIZhW5siQkiUxNyiFcex0dc0rdlqhyl5OXc2cMpp M69edfj78H44PR1GPw4fx2f7sXOeIO+LReasjF11QPu+/WsF2dlxGegO4k7X1hjXSSBxNrHV uAZ1lUdhCAuwBooliGNUC1NCRykTkYeW/z6HFKIkb4JRJhOkXZyGhJ80QHPqxTF0p2JgkjTJ puMIKUZQsQCcJozJ6NxIsAoDKFWLRbZnyDMFB4q5izZgy4zm65uovn4B7FSflsyDbaPNzPgJ jP/PtyN0idxvqvwepRbMG/sxF5SLIs3hK36juJ5qBgJ1bv6GR1vd7iGDvdmvCSJsXEG75OZs 4Cdfv+mFigOmZzr1Yvt5sjn++T5LeV5IwDk5ENIIGqmyKIDkd6RoamREBSKhvnBVlu6Qqasx cYC0WtGbCNNOm4BmycX5QdSdE4auB+hHaelBVkjg+Za+RpxRX+nD3zNYbSHIFV9m86yqvt1e 3auc88Mo2QWIftyFwsp4BxXOkN6zYJgXHAd1m71y1HQWJzvsPsHehnzEKV2ViUd6Qn12k51v xGM0RGkkDJbgm33xaU73MYVFko6MczNJxmeNJFvcTpn2nJ4Pp+OTdAkOXW5xEY2fDXi9l9uh 6wEX5ofzL+GQUXZhyDC7MOwEZ8D23hiZCDYqRiwhWlSdbPtjqQUssE/BydI+XUQUY9qK1S0I Fhfp4cfxsT78VxRrjqDJ82sf8zPuoJDrDAsVTaPbuwxHIR72HBRyO2Kh0AsSF/WFEmMP2y1s VPSFesXeFDYaclDxl1DIIxIbFXoROPeGp4Uxc27HGLJy/Go0GcrPdRX/Nwm8oKFcdrrVljLn XyQrTIC4AtHgMt2o4xKEVjPeFC37kWdsbbg3NuADMP9LsElwC6YOEYt8h0skOhTWJhFhE3Al P1yQWYy4wTZOOG1SI2MfM4hSivfc8vZqiBoPUmd2zE1VYgLHsjJGivNGkqKzq7gDY1nY4v2S ClYP3xeoO4Hd7XqoawNITfDAT09rN2z0NVVqqWFd5BWDTnkDg0YJMjHo9a8JQo0cViyjzda1 kjB4CTt/vgvNgXvzKx8UWHesKqWsNnPrAqGNgSjJYB1awXsA0oaFGUC0ljVDmAd5n4UDFnVN qzHnBDgk35fi4gwHSIObaACweSgGqFU61A8qdNAgPcz5oOII5cIApyuTmQGAdqY2gNC2LE1d JwMobVI1lE9xx6qkSed7USPBVZA1W5SMnyEHB2XPhprEF0qVDQ36WnZbzWcXKW/X+Ma+p0Cc zWGmwBqhLngLVO4XGFoip0VS6c6Hd0ZSUb1gWRmP4XdMHLObUnnZkydwTVUI1DKHdZU6QCqq yJSNVPtyUz7A7LC1hRtYT0Jr0lTl0AiLy9yBVSN20Zuj+pe4o0Xbyla6PxN6A0DrLWKvoy9M +SkTCbXXZlEjKyHrBhVxYqebIm4qSJ0j3qbaWbxHDE34+YkvW1rBlqkd2ZVibXoJt0BVXwY1 /caapB4cEVYLezRk6iV8pDyIk7W9nbNk172LM7Lmi32QFehD4k0Eb8AGmfstBKPLV+nCxZWY btHEOW9bwruzPxt5kLyYb6D7OHmPxhmZIbyppOvrMOUP7XA6vPOzgLp3Kx+fD/I13Yj14/Kp 78XN2bKWbk8l72BgvW9la9dJ3m+b7hfaZPXWTxpZ1VWeWM8T+5iCfId9aNhQ4Ti4XlWb7RJ6 W79ZKLhZlIzr1ruZvK5pHRVzAKKDC+IA5ZNxKIdgxg8vycMtyGBNBYsc+F6wyB5ZPXk7vJ4v h7f38xNoQZ3RTZ25D9q6yQB8rDJ9e/14BvMrKWuvUuEcrS87swsR1fVBxVPXEUc/Tz8eju8H w9zw2toW3RPT1be8Mb+xXx+Xw+tocxolP49vv48+xDPnv/m8BpxSCJGvpE3KJ0u+7nuKbA/d Itwj6ChDmHAnZL1DjrkaIM7KGWHbCmbrRoTbJF8vYOGkA8HVdXBZ9jUcRQpt4xoC7dcRk+Wt EdIv2jORuNHlGwV8XjQwbL3ZwLKUBpU+uZnRYDP6tTU3pJmnwkXBR7qOzhZ9Vzrz9/Pjj6fz K9YT7RmrFF774PXLc9ZB5HF6/xGmdUYrKbwRgbVTDkr35Z/XsOP35/f8HmvC/TZPEm1bBbDe tCREaF7WrPW6qAu/VYR6B/5vuscKFrLGskx2/q2pLAdPaNrBTugVoVTw/LT4zz9o0eoseU+X g2fNtWsW0eqi+5nL3DPpj3RUHC8HVaX55/FFPHrvWBRQlyKvM7lKRSfX1aYo3JmkS/167tp9 z1VHCTI3YWZJU/iuVhDTbEcQIU9uWetFRZIFrNgTgFJ4en+oEI2MQLCk5LLaDfJNRleLe9de Pq3xDdQLshvuPx9f+NpBl7Y0GhVaKfE+MYUXp8QIibJhMOtXADaHDwWSWhQJ3MmSyndd2HG0 pDLqGgPqZoONs1fUkPq2E56WFWxgZ0hXamyGUV9Y4INq4k3S2UXvNkUt3Bgmm23ZWykuPhjE m2hLY7qVeo/+niGnx/74cjz1OYvueIjaheb+kvTS2a1TsQIXVXbfGbuqn6PlmQNPZ1MpqEnN crNrI2Zs1mkm5q5lcmrAyqyS8YTXCTx1LazY3hjZgRuEgRO+XlhJ7OdUVkZczHcU71bTABFO KEy0IC79W2okplsRu8pXcEodN4S6DkCT7WDXI9m+Tq5OT7J/Lk/nU+t6HGiKgjckTZq/CKLY 0RjXD5NLp2TvTcIpfI92xQRBCF/IaUj/zXsPUa9DL4TvbTVEsSLO7oXza8i6VeOqOp5NA8PK W6czGoZjy8RRE1o/sUOFcwxfvsIbKBjKjDPITWVZNWvdWFoRxGGKAmQIz9ayGpeLFvC6mdde U3CJqYbFWXHJklEkxrowvcdo8ry7LJFK0x0/rov5OkeMZIQ6T+jR1lndJHAJApIv4PyVJUCz zrDyxX6NmBKmJBYvXtIK65NW/1aVaPB5qZFd0MRHB6bVZ4Iut9Rqp8bDjnY/yXqJAZTo+ROd eh2s9hVOBhaZm+6S+A/tdBdKa5I5mGw9ibDT3Vd5BlX4FeTi+pa6hd0t8oVE2cnasRE/Y0E1 VH9aeqDrNz2oLJWJvaWD+CaEtaGILKWRIugPYIHcqmePHasz69PT4eXwfn49XNwtJN0XwSRE ovNJqulHRifYEdbmlHhmTDr+ezLu/Xa/STjrlA6iCjjVjSmYEh80W01JYHuC4FOgSseQ/wFF MRwMyAQ7KtliX7B4FvlkgfSJHJJa1zEg+9wZ/44mHHi09C77uz1LoWhud/vkrzvP8kRJk8A3 XUZycXs6MX046AS7Y0ViZMet40nxJIScJHDKLAw956WXTnWymDluNa60fcKHF7Jd55TIN2vM 6rs48Hw7YU60j8FWZWFPVjWBT48v52cR2+LH8fl4eXwRLtK4DHGx7n9JOh3PvCo05+vUn3nW 72gcub85a+eCGd/xK8KPmIVFns325u9cGvoS25u11sMQJDiFUqMQSsLUR0FCmZELlaSL0PQk EZZkni66nb/F2rdTsvUuKzZlxnlJnSW17WZVy4pwAau9E0CyvRDAaszFyWmv0Zqm3Em5/VSU ibDtRXPUD/mxPOvEn0yNwZQJZjxFmTAz3PsIUTAw3ZuIdwGRGbmYJmUwsT1GiSckRLjDFY/o ozFaWxPHxU3xUgyuOM3WzXev3x1KD8n4rIM/K/3In9nDuybbaWwLhOLuG62jEmK5bAQXIcXT nRC6XT+TV8E1typwTd8h6TzZdp8jHmQuv1UbtJLdWbjfFVfM96VfoDkohyw4WbhjwalyEouo SsoL64CUpXoK0WXrx9ELltKvgdAK1ZQvYHjEpCFSMo49UwoTaYxvHqGdpmJNWMO0W0TybbSR pI2P9u3kbLnwEMc1efLi/Xy6jLLTD1uNyHfCKmMJce9z7eyNj/Wtw9sLP/JbXH1Fk4kfWnW7 olSZj2+PT7yO4jkRtkUYEs+0d2hrby9v5qMy+nl4lTExlBcKO/e64OutXDUsW7MNpFNRiOz7 RkMsuySaRfDbnITFDncm9+4ka9c8ZdOx7ZyMJWkw7k3KlsirkYsggw1bloEdotUkYZHpSxaM XVnJobKsygnkgnv3PdZeftshcPtWufw4/mhdfvCJNUrOr6/nk6lbggGmWEaZ7m+m5SWlC+dg +c7LHMpWle3S1D0bK9uS+tXoEx3J0K4CTNPCmFL+6CnIZ+OjWjGw3BOOzZjo/HdgewTkKZMJ bPvASeEsAGdqGlrv68TvWWTXPS03dZNabgHYRAVG7237KfimnkZ+YLrY41t06Nl7eBj79pYt DP6teaq4KvZmnxPCcGotH8UIU9cDQPsWfKjbu4nz4/P19ZfWZbq8T2saZRgS+KLEzUD5WxaR 3Q6np18j9ut0+Xn4OP5PuKZOU/ZnWRSty2VlZSFtFh4v5/c/0+PH5f34n0/xcr1vSo3glBe+ n48fhz8KDjv8GBXn89voN17O76O/u3p8GPUw8/7/ftl+d6OF1qx//vV+/ng6vx1417XLs+OU Sy+yzpjitz03F3vCfC41w2nu+ZKW22Ac9jiZvUalHAMf+iQJPPPl9TLoPQdyZlq/qYrxHR5f Lj8N7tSmvl9G1ePlMKLn0/Fi9QxZZBPlAvDaNLIPxt4YVAIqkm/yYDB7g2jWSNXn8/X443j5 ZQzTlb1Q34ke3vKJVW3vaKtUHHEg4yBO8ceeMdqrmvkmS1C/7dFf1VvfDoueT+FjqiD41hG0 1yD9dolzAOE1/vXw+PH5fng9cNnlk3eQNS9zZ17m13lpKBk2LJ6Oscl2R/eRcxTbNXlCJ37U /8YC8Ukc3ZzEBaNRyva9GazTwc2powVWQ67UWcrgGT7Qa8p//PH556W/wEn6lwhpa08Rkm73 fLLCgggpAswjHSfxFQibDpIyZbMAXBySNLOVKYRNA9+DotXPV940NIee/zbVYgnfo7zYao9I CiDFDCdwigONwNkrCJGtrVmWPinHoFtMReJ9MR6bus57FvH1Q6wI862owgp/NvasaBo2zYd8 MkuSZ/rg/YsRzzeVP1VZjUNnjeqM8RAodRWa7jyLHR/ziRlcl3M0zv9M/aNOMfR+6w3xAtvX 86as+SSAxrXk1fbHgmh0Tu55ph9P8XtiK7qCwORYfJFsdznzQyDJXnB1woKJZ/FvmQRGSmv7 q+a9bfn1lgmxNYNkEhLbWdCmYAmcMgkDo+lbFnqxb92d7pJ1MRmDS0iRAqurdxktojHy4FER kQeYuyLywPPRdz58fJA8k4nbjEUZfjw+nw4XpVkEWM5dPJuaYrT4bSoT78azmc2QtMKakuUa 5cucGHigF2tKkyD0JxZ/0RxV5iglCfhYpcedn43DeBLgxy+Nq2jgDWwd3wglK8L/Y6E7LK2x CNRzqk8/Xy7Ht5fDP9aRRB65ttbRzgLqDfXp5XjqDYexdQB0CWgDjoz+GH3w8/oPLqOfDnbp MqJZtS1r40bG6WX1lEGbr9+4YlHoL2Kl3yoQpVsG11/vhycuf0k/34+n588X/vfb+eMoZHZI vpKse9KUboD0bhHczs2Sud/OF75BH8GrotDD9tc09BHv/SnjKxa5OOAnuwm4/YkjntpyjASL C9Vl4YqtSAvA1vFOv9imZrSc9Z9qIzmrr9UB6v3wIaQagJvMy3E0pkubXZTIJVax4lzPiAKZ lszaP1alGSg3T0pPCPRGB5WFZ+r/1O/+GafgrAg2e6AsjEC5RhAC40CuOZSMswynusXW4WQM bear0h9HFvJ7SbhABD817nX1VXw8ibjvAAPpE/Wgnf85vgr5XqyLH8cPpfL7v8qebLmRHMf3 /QpHPe1G1HRYsl22N6IeqExKma28nIck+yXDZaurFF0+wsfM1H79AmQykwdI1zx0uwQgeYIg CIIAtbpQizkj1YIsjVktXBT7jXl/sJj5Qu9XqceNq17G5+enpMbW1Es9oHuzuzQVix20T/8N 5Bf25nxyTHqAbLKzk+x4N07XONDB4Rkc7F+ffuKbb7+9dfSmD1JKcb5/eEYbBbmQhIQ7Zpiz OtdCqeXZ7vL4ix4lSULMhHptDoowbfgSKNpLCFCzmQcFwp3kB4GYG/lmqW5NJRUet+ZNznuf q4r1Ik3uovXV0d2Pw7MWYE2NXH2F9yqaBpP1SzPN05/iARlLw+EyYS+NsLTK582o6KDCsBvL DZv5qWCxXURVFov6PKN/eoF6TE37penRMnw0qinJReOvBz6eAr2yNLbTnSqyfIekTct92gAS FG1O5rqXr72wDfpBAl/f91VmTpN6bgPNisp8kRae+rKyLFZ4q4hBfyvPrBpEuSfETA7C3BlC pZfZHDcyXMWidW9E6luUDB8yVlE6N9IIiQA38GNw6zZuDAWOtYknkseA3zWzY08AcUEgnhac ehJtSApeZ16OFgSB1wcGxXDXFSC0A9pZaLxMD6FF1IXVNkCynvvC8Qt0xorWE31sIJBW+gBF HiVV31Ss3oUGNZD+YcLLSGA9q0NjizfbAXT4RbOkkSGRy8bjyz3RVL57Z0HyUQyrgUrcUXfN okqu/Y92JK03uOCAFtcHIYJAAI6Bwk4RYWDHYD/uwguGsjBJ+lXWhVqJ4SpI9BDSQoW5+ij8 lqKz42VJbS65Pmrev70K7/Fp8xsCw/aAnsSOBuzztEpBz04MF1hEqPsq9LEtW1phQ7qRAZHS S+WP1CeSza9ypPJ+HbFCZniMOMZy9dLJIAyhdoh4G1OnQ3SXH5aEj0PRsdhLI1b5xQKJPKqw IupXu+y3yGZz9p/QnYiQ4x8Qs93qd8nEyCFtzwqWlX62sD4JDvbw/A3bS79lETwg4vuF2ymD 8NnTpvZgFcwEh68nOF6G+AuPbtHMZdh0T/wXUY6IssNaTyICRRFirqEjdmeNJTGE8ihr0OVa uy8KbY87QdKACNMzoho4lm1KEyWcwEVYOzNTuhQmO9igvSJFiq5gx6UU/JDk/CMS1EZQRwyx ncjLkRZFGZ5ypU6HKpR6Rb+pd3MMiBLi0YG0BuXcW+2Ql+j8TLxeyDpQreuggJQ63AdMJ2no xSFmTzwRgGqhC12bp/b0KfyFSDweao6kjOD4KEvybx471s8vihwUw5S6qzNocLjsNiEyNDF5 Xp18TGDXblJghJJgb4Gg8ySOVfhd81EJSRwYJ/GGUSwrz0FF7EhCKUU3o5hTaSrFwq4iVg0L 16yBVVVSFhxzfsAKpAwlSFZGPCvboQ5z8YujClW0UC3T6ur0eHYZnAupg8Li8S9GQXLlibg5 EdgryyZAEZ40ZEMR1RRV0y953pZWJiu6HPOUaiEF74abK6r0848av4vjL7swL4t4fN4A+khS M0zhHixFuqry4iSs24z+qrH45Um1ZFAKWRvkc5M0KJZN0qhJgyqGSR3/LnVQko9U7XXF/fJj sFrEVb9JY06f0zQ6scx/izLYOPXaqSMThRsUhFhtzqoNvlwKzsB4/vltKj83jVTBTk3GqCTA 4+hFiL7OsxPoAQxnSM0fSU8/Jk2T0+Pz8JlAXI/Js6+fIeR7scvTvprTIV2QSL6JC1UW5xez DwQCy7+cnRIbgkH05/l8xvttekNSiFeFkbRQeVUQOEdjigj/9OL7y5nPNCOVLDTtrDnPFwwY PPe8InRJQ90fUg2txDP9hX89TXTBio2kVaRJ0DyEa1/j8+jIDHQwoHL9aR/8GBJJTRZIAFmh tOR5f/+CUWDFncSD9E8zcotMmiQwSvQF1O7KDiCkGh0oaTSXMG2zhyE3HDPwt4oG1W/r1BPJ XZLljM52zx7vX54O99rNYRHXZWp4WAygfpEWMcYis4NPjF71sqjxFpFpXl7FJue59VNeVes1 SbCwW6f05j1RlFHZ0vrI8CaWLztP9AdZiLK0cAzGFKpNEfrqk1QYUdHfJtQkP2pQgQuiiEtv RVLJWtrNNccUn8E0McsN25raMv1NGEnCvcQTsr+XQxOEOMYMNfSojtvJRwMi/aQDg6piKX1U ECY+hWlcVR67Iia1aaoQJwyPfPwViXhgH7Wj9g3JMLhonyg2NXPv2ZLt0dvL7Z24TXbFjRUf cYBK+dpqWbQUxJZ2I3zV0pagkQB0l0BNfdWmRG0qJdvk4ur2ZqrLa1peeg5hLaesNXmXtWmV 8Z2437G9hdz4vXmHz5VW55dzzSiDQIx0YGwNAHOTgLh+Rk7ItQqWTqVdiDZpaaQawd8iRoY3 tkKTpbl1O6uNdQ3/LrgV+E+Do9j0zu5IJIRM2YDYo/UKg5iIDjOQRWWHhE5bhFNUVHhCgmp+ TmEa5Tnlo8KIDVecFhsYPfWqY3HsOT1MwSZb0AJAf2h9EeQkh1v1qFJKPU8i/pIn09iQzAIe xZxOmC2wTRGTrGbFM5FPOA4/90dSD9JYe8PQX6TlsILwnXGjBwhAUNmkwPuR9vaY7zDupR5d QEH6hYzobeZMxJSOmPFnTWc5W2K2tqi+rjA7jlH3hoPick2A7DyOE2LRpbCyC1guq4Lh1JjZ G2VaSM90CZwIh0NzBgt8fdWVHjMf69py2Zz25JlPInt9LHGX6E3NJ7I2DjVzMkOe/nEJw5Cx aw+sr3mc1rg04U+YgGVbdg0NK7Os3BreyBMxanyU94BGkvOWRWU1ZuCLbu9+6LmqC45cM0VS NcGYXlOf5IhFCXcAI522F0iEkzRbe08p2iG19tf9+/3T0V+wOpzFIZ6964MpAGszKoGA4Z1l mxlndgRXGMYqL4u0JZ9cChqQJllcc43317wu9FqVLqzkV145P6mFKhE71rbabLM6StSIN33S rXibLUx+G4GU5OL5Mu6jmoPIsApN8D13ukJbuuz4hJd/FKePFfFlumF1b9tp1SHInRhdDjcy WazMrko1tdAfDcAPFbf266fD69PFxdnlP2afdHRUxlzM16lwKpz0Lx13fkJ7Q5hEZMJEg+RC f5BhYebe2i/OfqPgc1/B5nsRC0d5jlkkc2/BJ17MqRdz5sV88WIuvR24PKHiqpgkZ/7+X3r8 Ik2iUypAitnEc6vDaVMiq/UXnj7N5l5GANTMRInsu3T5M7trCkHZynX8CV2epxtnNPgLDT6n wZeeLpz4+jCjQ+4bJL6FsS7Ti742axSwzoRhwnA44LHCboRIOM5Bq6AuwyYC0Pa6unTLBHWR tSkrCMx1nWaWO53CrRjPghWuas7XbpkptFTGD7QRRZe2VE2iz9C+QF2gR61TPeEyIrp2qfE0 HNuRbx1AX2C4wiy9Ya14rD9k2tbPe4ZaKl+y7+/eX9DL10kRjmnC9E7gb1BarjqOmjJu+tQm y+smhU2iaJG+Bi1U3zxrvMmNnZIHlXTAkOwHiD5OQNvlNXMyO6qdm0ed1Fhz3gjnIyf8uiIh t1uRUjdhdcwLaEon0k1X16CegT7NrCA6DhmtxsK+j3puU3a1J4okKlTicp3XOcxhwrOKDMKp 4sBPndSf22dN/vUTvvO+f/rX4+dftw+3n38+3d4/Hx4/v97+tYdyDvefD49v++8415+/Pf/1 SU7/ev/yuP959OP25X4vXOQnNhiC5D48vfw6Ojwe8PXm4f9uh9flSteIhCaCqnWP2kUKyheo Iy2cL7VFSFLd8No4zQsgulKtgY/JSMsaBcyJVg1VBlJgFZ7zB9Chew5O7Ti0ZCZ0RboEGaBR 6ovKM0YK7R/iMWCEvQbHgcNlUY4K/cuv57eno7unl/3R08vRj/3PZzPkgCQHTa2i2HvAsmxl JFgwwHMXzllMAl3SZh2lVaKfaS2E+0li5JbXgC5pXawoGEk4ap9Ow70tYb7Gr6vKpV7r5iNV AjqFuKQg8dmKKHeAm5nLDRScHBuRsgKleGBGFTnftbW8XWic2lbL2fwi7zIHUXQZDXR7Iv4Q zNC1CUhwoh/kRUf1/u3n4e4ff+9/Hd0Jhv7+cvv845cmU4ZpbJhTVewyC48iAhYnRHMA3DD/ MPKojkWd9ndN7smNOAxLV2/4/MxKRCsvdd7ffuBbsbvbt/39EX8UHcZHd/86vP04Yq+vT3cH gYpv326dEYii3J1HAhYlsBmz+XFVZtf2g+Zxwa7SZjan8+KobvKrdBManoSBMNwoabQQYUUe nu51G4Nq0YJih2hJeV4pZFtTn7S0OjC2KVBiVm+doSqXCwdW0a3dhZYcqCMYuN1dOIk2CdYU xKD4tZ07fRwjPqtRTW5ff/gGNWcuqycUcEf3aJMz9x41Pnzfv765ldXRydwtWYCpwdqh0PaP 1yJjaz5fEF9KTGCoocp2dhynS3ctkLuHdwLy+JSAUaslT4HXhSMnGYNxkE95bMT4UKsoYTMK OD/7QoHPZsQ+mrATF5gTsBaUkkXp7ovbSpYrlYPD8w/jgmWUCe42AbC+dZWDRVZulykx2Aox RQ50VjDLORy8AnI3YniesCIPajhqhhBO2SDUPmGaopVeJP4GGjLIUWoL4HVFRzgfp8dlrnZb koM2wKc+y2l6enjGt62mfq36s8wMG6AScTelA7s4dTkquzklOgXQJMDgN43Y7OVDz9vH+6eH o+L94dv+RcWSUnGmLBYqmrSPqpq+jBr6Uy9EQMzOaanADELNLlniLDlDElnZ2VwKp94/UzxM cHTzqa4dLFaK+TxsVfzn4dvLLaj+L0/vb4dHQmZn6WJYZ87gA+ZD2YdEkivVmxV3akcSTyW0 euLSxYQ4QLiSp6CQpTf86yxEEmpkQDuZ+jApMeHGegSqQOUUrydbokDWXOc5RyOBsC+gG+NU pIasukU20DTdYiCbLp0mwrbKdSqiyt3Z8WUfcTQLpBHeBNrXgNU6ai76qk43iMXCKIpzdLlo 0HBJY1Hzxo8N20e6QoNFxeUlIV7iiTak5rlX8jdGa/pL6K2vIvv26+H7o3zCfPdjf/c3HGMn Xpe3Arp1B+0+U5NcfPP10yetYRIvjy/a2ND2Eg7/iFl9bddHGYRkwbDMonWWNq23aROFWOn4 L6qFNd+UcsAECX3b9Rsjp2pfpAV2BCa7aJdKtGRemZKlBUawrVmxMkUKvrelR2CRgoqAOTU1 xlav30B7KKLqul/WwgVbZyKdJOOFwk6LqqxjUjeCruQcjo/5AuqcypM2O5a5NVSRyC9oqtIR HH1AHhug2ReTwtUJoz5tu9786mRu/dStoiYcVjhfXF+YskPD0GbxgYTVWx/DSopFSisP0RdD b4jMX5pNH0Sbq5NHmlVYquB684FR4jLX+ky0ALQF8ZjFDOOB0Ji78BsUsLAPmsrIjdw+LCjo JkTJCKVKBl2EpD6l2wGqCUEuwBT97gbB+thISL+7oKNCDGjht1pRjD4QpEyfvwHI6pyCtQks CweBj1YiB7qI/nRgJtdO3ewXN6lud9Iw2Y2eIMNAlB74KQkfdEFr8eqW8QElXIs2LOvxaKJv ppieEKTABhOw1kxTsdAynJaGU6oE4aV5b0gGhBspPwoMuI8uteikjZZ0rUoEQw8yVmNuq4QP rwQ1bGQMDgAqXoPoUgh5PN7/dfv+8w1jlbwdvr8/vb8ePUhz7+3L/vYI45b+r6b1Yc5X0JKw JLylwnv52bEmCxS+wdPl4rol3ykZVFpJv3wFeaIXmESMch9BEpaBYpDj6Fzog8HwtZXp+mOA +8YIaqRmYcGLCPT3ek3tx6tM8ozGSllpWAXwd0hejazXlnA6N4RndtO3zCgMA2WAPkmFnM6r FKSWIV6XscYf6GZdo9GsrTVe7aJmLpL66jqEdPLAS4cty9bmvozpw8i5KRd/shXtL+MoAHbf 07LmxrpQCHHaaJIsTk+8yNqLzELILsqrWL8e0JExl87gjZjdLY/1hV/M8H6vjCfvz/FCROmR Avr8cnh8+1sGG3rYv353LySFniSzpRujLMERsxNDKq7DqQHVMuLCYy3uU92GLfN29lm5ykBR ysabg3MvxVWX8vbr6chJgyLulHA6NXFRlq1qZ8wzRt8WxtcFw5SQhCsVRRFIL3CdL0o8sfC6 hg/opHRYAvwHyuGibIzEpd6ZGO0Uh5/7f7wdHgaV9lWQ3kn4iztvyxra0G9ZXYAwnGvDgiup AhbBBwikV1HCWYzpktICJlG/p4BTgFDD87TJWQvrD0vvyyIzTjyyk8sSJGi/7Ar5iRB3vZW6 XF/KW1a0Q5urUuxnpsObjiGHf5ODpo6+yeSDF71RW87WIhdUVHX6DPz2GP+Xng19WFfx/tv7 9+940Zg+vr69vGOoXd29mq1kCvj6ahpPDThecvICL5++Hv97pnmCaXTecP5DDxtiKgYJgf8P fCguvgRdjs7LgXI8N8XiJl9M5noVa1LehPdXO0wHVq01uW/SCyrrQm2C4bUwrmwSJ5b8sFV8 2syWs+Nj7UApCNexlwdR0+kWDcMn7UXa4iZu8L/AaVIs0r5YYIrwxoMUytdEMjZI/5Ro1NCW JF227ldxuvFftUuSrqg52ncWGTVdkga2ROHJjlYms6M4mHbngT31uxRysMb19FsrxORCdAvV k0BJKHpCqm1suPYfC9M2KtwP+K7FvBm6UVuWgVilBVl8PaKGxafWIjmyopZyW5CbnkCCkGrK wlBWpnpAvVna8LqMWcusk8bIkJJmu3PbvaV0y/GI38adCNk3tVxA1JM5eqcT5UqWCFE0GaMW kVjow0SCapKBnHVbrTCh4oUvSYcbPKVZRAkmXhc0vIATacKjtXfgNnlfrVohU61h3+QuRNzW mT7YI6peuJ0RpcMRfEUtX38D7Damddsxh+09YJk7VLjIOOJmzXBBugZhid2WNVqsQH5PSzaO h0O77VgzrTBnehIrON1wZgP6o/Lp+fXzEaameH+Wu2dy+/jdiOtZMYxrAlK8LEmPGQOPjzc6 2A5NJCqjZdd+1Q55Tbls8QVGV43p1zwchsg+wTfoLWuoA9P2CrQRUG/i0ni1Fe6gdOsDreH+ HVUFXT5NbRSc6yiaBna479Bhk/e/8lwiqjF5BAdozXklpZC0cKLjwCSD//v1+fCIzgTQm4f3 t/2/9/CP/dvdH3/88T+a8RMfu4giV8g40zMG/Q3Ahnz7MlKIMrAP3iWCFoeu5Tv9LmRgNegB fu+sAZp8u5UYEFDltmJt4q7YetvQvvQSLRprnZYRFvPKAaB5sfk6O7PBwmWjGbBfbKwUXMPJ SJBchkiEaVzSnToVpXXUZayGwxHvVGlzt0Oy8dZAyLM8jBT3vBObvsepRwuEshBQwycGDhYd vkiytrJpVhwrcBMt7Y+mE/l/wLBmn0E8CZms1TOeRrVm4eEFHRa7ouE8hrUnTbc2U63lfjjZ plAM/C11mvvbt9sjVGbu8K7BEHPD8Dk3FqZKYONN7l+50yZeaKVwOiJLFds36IaoT8BBFV8b pnZESEOcefph1xrVMEBFCyePxhH8wIOUOkbzAgagEpnpCLj/C1Ca/F/VVmJ3BPKrJvA2ymyx JUKuhlNirc6HA7ooK1mXZncVCg++i0I2EkhxQjWcr/ELtAP2FvvJ5R2Z0g0PLk6+Y5FXWNAb SiX8gUUFqvs2xbO43TatqOHY1mx185VTntIc7YIGQvcN29LqER6+cOPRitaNgrBDL4fCafuJ 2P8CBMk2Y22IoGwK0L15iEQ8m/2gGNkvNa+UsBtmtSlY1ST6UdRCKCsDMfQgrkHcYKTgulxi iA8zWL2O486BW999BQErQC4wvJeVX9KRuBQxMKsic6fZxQyNsfmig/IWXHKnvhMP1jIbTlM3 10WbTNBpnsQQSc5PC5S/9HSOa442gU9CQVsNYUpVM8uEZR1HjBhLxSPOjqYQLQNhVk2bmrOW TRqiCr3JvuJ0mvGZs1iDMc9AvSWv58cRxyXvFNkwDH/rivmXw+vdPw1Br5uV2/3rG+7SqBBH T//cv9x+3+u74borUnoK1YaGZtOyHibb2bTU6AobGUljH63WUblxTkBw7gHwMP6VYQtAemoW ukLKNBgmHOzBf2rSbtdxSwe1EN4geVqgPZXWsARFnG6+nBIVL0b7OTKZO/MLvOtzeGfC4yVd U2YlxvD1cJhxbejUoC57QhdDogcJ39m2BmmC+/DLgUw+vzHX/4BuooqKJCo9bQDfllqUHQEd /TqssiJWLH0lgeZsXO0IYNeZcYAEcCdMeb5y8F34Uj4n18E1KvGWCUCOnOU7IICwiCmBkxYY gkiTc1ZZy7TOQaW1qxhfbRtdE9chFtA2OliMzPMItk3Ktj7MlXCH0W0S6jsCKt71oD1M2wrE ysXQAPCJKVMngP28hxQ7U8uFip+nTYNcFpdRhxeutOYsTwOLVIoh+rm2dYX2/3jMC0Wm8AEA --W/nzBZO5zC0uMSeA-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============3094678175338293896==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH 4/5] ALSA: hda: Simplify DMIC-in-NHLT check Date: Sat, 16 Oct 2021 13:09:09 +0800 Message-ID: <202110161337.9axj2Teh-lkp@intel.com> In-Reply-To: <20211015164047.44492-5-cezary.rojewski@intel.com> List-Id: --===============3094678175338293896== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Cezary, Thank you for the patch! Yet something to improve: [auto build test ERROR on broonie-sound/for-next] [also build test ERROR on tiwai-sound/for-next v5.15-rc5 next-20211015] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Cezary-Rojewski/ALSA-hda-N= ew-NHLT-functions-and-cleanup/20211016-004154 base: https://git.kernel.org/pub/scm/linux/kernel/git/broonie/sound.git f= or-next config: riscv-randconfig-r042-20211016 (attached as .config) compiler: clang version 14.0.0 (https://github.com/llvm/llvm-project 6069a6= a5049497a32a50a49661c2f4169078bdba) reproduce (this is a W=3D1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install riscv cross compiling tool for clang build # apt-get install binutils-riscv64-linux-gnu # https://github.com/0day-ci/linux/commit/2d319eabf52e504c98ef5c0fd= d812347b41edd00 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Cezary-Rojewski/ALSA-hda-New-NHLT-= functions-and-cleanup/20211016-004154 git checkout 2d319eabf52e504c98ef5c0fdd812347b41edd00 # save the attached .config to linux build tree mkdir build_dir COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dclang make.cross W=3D= 1 O=3Dbuild_dir ARCH=3Driscv SHELL=3D/bin/bash sound/hda/ If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): In file included from sound/hda/intel-dsp-config.c:13: include/sound/intel-nhlt.h:159:6: warning: no previous prototype for fun= ction 'intel_nhlt_has_endpoint_type' [-Wmissing-prototypes] bool intel_nhlt_has_endpoint_type(struct acpi_table_nhlt *nhlt, u8 link_= type) ^ include/sound/intel-nhlt.h:159:1: note: declare 'static' if the function= is not intended to be used outside of this translation unit bool intel_nhlt_has_endpoint_type(struct acpi_table_nhlt *nhlt, u8 link_= type) ^ static = include/sound/intel-nhlt.h:165:1: warning: no previous prototype for fun= ction 'intel_nhlt_get_endpoint_blob' [-Wmissing-prototypes] intel_nhlt_get_endpoint_blob(struct acpi_table_nhlt *nhlt, ^ include/sound/intel-nhlt.h:164:1: note: declare 'static' if the function= is not intended to be used outside of this translation unit struct nhlt_specific_cfg * ^ static = >> sound/hda/intel-dsp-config.c:387:42: error: use of undeclared identifier= 'NHLT_LINK_DMIC' if (intel_nhlt_has_endpoint_type(nhlt, NHLT_LINK_DMIC)) ^ >> sound/hda/intel-dsp-config.c:387:42: error: use of undeclared identifier= 'NHLT_LINK_DMIC' >> sound/hda/intel-dsp-config.c:387:42: error: use of undeclared identifier= 'NHLT_LINK_DMIC' 2 warnings and 3 errors generated. vim +/NHLT_LINK_DMIC +387 sound/hda/intel-dsp-config.c 379 = 380 static int snd_intel_dsp_check_dmic(struct pci_dev *pci) 381 { 382 struct acpi_table_nhlt *nhlt; 383 int ret =3D 0; 384 = 385 nhlt =3D intel_nhlt_init(); 386 if (nhlt) { > 387 if (intel_nhlt_has_endpoint_type(nhlt, NHLT_LINK_DMIC)) 388 ret =3D 1; 389 intel_nhlt_free(nhlt); 390 } 391 return ret; 392 } 393 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============3094678175338293896== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICMBWamEAAy5jb25maWcAnDzLcuO2svvzFapkkyySSLL8ure8gEhQQkQSDABKsjcsjayZ6B6P 5ZLkSebvTzfAB0CCcs6dykzM7gbQQDf6BcA//uvHAXk/H75uzvvt5uXl++DL7nV33Jx3z4PP+5fd /w5CPki5GtCQqV+BON6/vv/923F/2n4bXP86uv51+Mtxez1Y7I6vu5dBcHj9vP/yDu33h9d//fiv gKcRmxVBUCypkIynhaJr9fDD9mXz+mXwbXc8Ad1gNPl1+Otw8NOX/fl/fvsN/v26Px4Px99eXr59 Ld6Oh//bbc+DzeT+8/XV3c12d/NpeD963tzc7Da326vN6Pl+c31393x99Wm3/Xz78w/VqLNm2Ieh xQqTRRCTdPbwvQbiZ007mgzhT4UjEhvE8TJp6AHmJ47D7ogA0x2ETfvYonM7APbm0DuRSTHjilss uoiC5yrLlRfP0piltINKeZEJHrGYFlFaEKVEQ8LEH8WKi0UDmeYsDhVLaKHIFJpILqzR1FxQAvNK Iw7/AInEpiDwHwczrT8vg9Pu/P7WqMBU8AVNC9AAmWTWwClTBU2XBRGwLCxh6uFqXDPOkwzZVVTi 2D8OSviKCsHFYH8avB7OOFC9rjwgcbWwP/zgzKWQJFYWMKQRyWOlOfCA51yqlCT04YefXg+vu0ar 5KNcsixoplAC8P+Bih0+iQrmxR85zanNbI0PBJeySGjCxSMKhARzL10uacymnvnOyZLCysEgJIf9 iRyQOK4kAUIdnN4/nb6fzruvjSRmNKWCBVrmcs5XzUzamCKmSxr78cGcZa7+hDwhLHVhkiU+omLO qEC+H7udJ5IhZS+iM86cpCEoSdmz0xTJIy4CGpYay+xdLzMiJC1b1IttTzKk03wWSVcou9fnweFz a3V9S5SAHrGSPWuvaXkFoKoLyXPgzWhgZ7qaAtY/VbISqNp/BYvpk6liwQL2FgWpWV3Bjp8/4S5K eGpPEYAZjMFDFniUyrRiwHSrJ6cLNpsXgsoCTYTwr1CHXUdt6TSLit/1zPXk4NOZWT0U0pWa7R3G bViNkQlKk0wB59oU1r1V8CWP81QR8ejdcSWVjTMsZflvanP69+AMcxtsgIHTeXM+DTbb7eH99bx/ /dKSCTQoSBBwGMvoXj0Eaoi2rw3aI4xMskYK8FHbp5BJtMuh7rJciX/AXW1agS8meUwU07qhZyeC fCB9ypU+FoCzuYfPgq5Bi5SHaWmI7eYtEPgLqfsotd2D6oDykPrgSpCA1uyVK+HOpDYHC/ODZSAW tcB5YIPnYCxAry2XzdGPgCbOWaQeRreNnrFULcC5RLRNc2Xrk6ZiaUjXngWr9rwM5mCq9M6vZCK3 f+6e3192x8Hn3eb8ftydNLicpwdbS3gmeJ5JW2jgaYKZ3xNpYjO+h78SnbHQWpESKMKE2IOU4Ah2 0BMVl0YL6ZIFPZ7RUICWwu7wqVjFERWRZ/CESZ9lq8cFq27NY06DRcZBQGjQFBeOvTAiIbniurFP 2x9lJKFTsBkBUeWO7MEVy7F3voLG5NHT9zRe4DJpFyGsAFJ/kwT6Nj4EA5ims7CYPTEfq4CZAmbc dASQ+MkVIIDWT/7G8RNvNZ04309SWUxOOVdFe8dBMMozsHvsiaJr1hLkIiFp4Cx7m0zCD/61NzGX 8w2WKaCZ0ukGWocGb0yWsyfQSUOA5Qsn5YyqBIxM0QRWLcl6/FKJj4zft4w3l2xduksLqg2DHXZb a0XjCNZPWJ1MCQQsUR5bU45ySKlan7BT7fhoSUtwkGTrYO64IZpxL/+SzVISR5Y4NeuRo946PIl8 FkPOwdhYMQ/jju/jRS5aDq9GknDJYJbl0kpP59D1lAjB7KhqgbSPiexCCmIvVw3VS4n7TrGltcKo CtrD2lNfBHbOAqPTMKRha4lRk4s6YKvki0Dos1gmMLDtY7JgNJxUVr5Mn7Pd8fPh+HXzut0N6Lfd K/huAoY+QO8NoVTjkr1jabvmG7F2F/9wmKrDZWLGKHSAYvS22aGQnBEFed3CJ/6YTJ3dEudTr7Bl zH2JDbYHMYsZrQIea48jDt1LzCSYbNhmPOnDzokIwbdaopLzPIogXcgI9K0XiIDJdyyIokkREkUw RWcRC6oYyfLmmEb7AzZtcLQ3kfbKu1lxRXw1ntqhvwC3tWwlCklCwMemYLghvwPHlj7cXcKTtRWb 6P4KObWMQZJYAdSS6FZWxp1VkEkDgXXiUSSpehj+HQzNH4eFCPYQbElI4zEibfFvkqx+NI1poKoc OOGhnW9qihUBBdQBEomLeQ4mOZ62O8mzjAuYfg6SmVJrS0jIqRcmQiyJuomWY3Lr7ItAxi3AZYP+ gWv2EMg86ULnKwqJkTVIBDafEhE/wnfhmMRsZgorOseWD7UIMPiDgMHi18SBhwCU52W3LStrzQ7i kBqzAOJXyMjBy8REREz4wyqklaDSS68vBeSSld6xii+dUasUaLA7HjfnjcOPo3JUCNw/JAajkVYG tvEaBttlxE5kumPo0bOXzRlt1+D8/W3XDKvVQCyvxsweqITeTJgvGNTKBjIJY10DaQxbjSCpLyaD PZbNHyWq9GjmWrnEF3SpPKXdPMcsFCRxRVCJ+PT+9nY4YuU1S/LWBA259llZ4qQ6nla18mUOpbt2 tt9xUovKpz0Vo+HQq0aAGl/3oq7cVk53Q8tnPj0gwIo7K2tVLIcjb+cLuqaBP18QRM6LMHcF0PZ7 TY6kCw4HIDu8oW5ZnjVIQl09bSqCNGJgR3LL6ADEcQegDeCHkjI6Y2s3h2oKFfaARpsPf0HqBo54 82X3Ffxwl53MthhJO3UBCERLGDuHHlQQL5zvykiZSpnjzFd/gOVYUQFTA4fH0OeXftdXk+h0BQ7C UbS+aTkF4s1x++f+DJsbRPLL8+4NGnuXwMjWjYN/B0kX4OltbwG2XgFLCwrSALcSlVXjKq5ruwYd sy38UEHVJXKsYketzKKMstNApx26QA1Z2u80KIMHOzzA2g84zZnsOqWmoqsp55wvWkhItzGpUmyW 81x2XRAYIV28KyueXQKNxKgfVknlVlyrh8WTAki4FIseq9yySwANS5fdgwzBA6FbJ5l3aub0QCqR A9FqzpSO1tqkMsGAoCznt0UhKCwfxH7GxWMRjUoAeBKfUiR4wNBLpYNm7NIHx5SgHAYtjG9GPn30 YT0JR0MmaYBB9QUUGBd0qZbOe5toXkFVFcjAiW3/ERzlwu06eax4VUa1R0ElpGulFXXhFNY12lPf bFEkHFc4b+dRBpyEHtXChNgE/OzJu4RONHwpkm5F0TrIrEqrimchX6WmAQR/3Dlni2ElwNIHixXk Fr6MSAf1euoe26lH47o2AeHsAsIjVIrVusWrh6KbCDU7TsG+Vt7eLqDazWGv5WAZDE09KQxH7SzQ l4+7QXiZhkLeUOWfxuwHfPnLp80JApV/G3f8djx83r+Ymnlz/AJkJbt9IyHPmqw6zqxKM1WudWEk R2XwgDiL81nlDFu52gcOqg7NYOmwumJ7Cx0JSEzAH6wIx6ywt6JhMLCXKJaR+ULb5eYIBKXgWw6Z jiwXl5qTX8i5WApfZRnZKyRIeiFpKESy8ihEkjC+mlaCo3/vtu/nzaeXnb4RMNClg7PloKcsjRKF m9MpXbkeG7+0+ay3GW7mTpm97EsGgmU+VS/xmHI6C9SAfVVUg8WqsMtQac5ryfdNVa9Dsvt6OH4f JBeitYvZbJUmJyTNiVtLrHNkg/OVE01jK5E3Y9hnOHVvMdifTOmdC5mUfJi0bJR2iP5zL8z2BUUd 8Zc3EjYTrfFMMFK0ylsLaTFbiVxb1ASUk4SheJgM728qipRCCAveVh9MLRLHrMYUIlwSzH32NNC1 6+ajDoOtdI74z3EtvC7m+nsH1aNEPtQ1laeMc0uoT9PcqYg+XUU89hVEn6RVjmvBdOh64VhIFxAK BgprAqqmjhpWlazKCfvCdSpwUXEMx13N8kzfrLhkZjOF1oQGjNS3CkLMysl2uzudBsnhdX8+HFsm PCRJW73K/dXXtsL3b7Gm95R2j2XD3bf9djcIj/tvTpnUxHCBfYTa+rCSoS7QytqbHQLZEW6Pae5X J8QTmSW9SFjTxCclGDaRLeY6Vx7snoo/ciYWPrXVU2ilg0E7iUUIUa2J04Ak7WEYX/aMkQnWJs6I ZGH/3GHVTD2ER5G/U0PTxDrd9njUenkE60zpI0IqxviPv5bBFUYHSN7ROIRtD6/n4+EFT1+fa81z VoNAiLgkboXc5WKNdeR1ka58Rh+7iBT8O9KFE6drRcEQ9/crAiL0HaYPSKivYoX9Y1vP1ZEaVW6N j2b24cyD/q1SrHGQXuzyCvxtwvrxEFiAq4ov6IAuUPauopmomucpxCigK/2MOoS4hy6sOnhlXan9 QDgVGc36iRIaMqLoBfWqKFBcVxf2gggSqXwHMaaXuryMTNeOYHfaf3ldbY47vRuCA/wgTTHSql9h +3DlWBkEVD21oJmJ6zzQqoHLeIXsX6WCrh9T3murC5asb/oXBnwfEaOrda8e63KTwpTwkjwbqguM QqYJGhuQrF/lG5JLHc2Z7N0VtPgDNvWFHQFmMyTF3QWdIkJBRHDzgQJXVJf0t1byUh/6KVmqIH2d rfopFhQPhR8/6KeiusTVggnWEx0jGle36N0ssONkx2JSY61H95MP2KvJLvG3hDQGQ+4P+oJsMMNr lh9TXByNxP24KL+dtI4BqkDvgm0wydThE3jM/Quid23b0bJhfMqWlMV6p/czY+0NMHYTL1sXRjXD biDD3+4MunHvp+qQpcNbAOkrRBmNhernzyG9sHt/vx2PPrAmhqTdR3V29uEc6jK9P4ap4xv6+vx2 2L+61rygaaiPt1uBYwkt7/tE7bgyizq3uCt4qqbeiTgs1Eyd/tqft3/+g9hLruA/poK5ap8ZWf33 92YliOu4aEX79TAQQoX2TBPIlNrfRcxJWATMrRVCw1an5RR/2W6Oz4NPx/3zF/dA7pGmivi4CG9u x/fNqOxuPLwf21zgYFjBNSck1hkkyVjIeAeAl0sDXcHE0ufVsI02J/mFWBdqXeh6kqcLSJ1pOmPu 7dsai9mJ745ZPUKuj9M83BbBHCL7LjhBRoogpMsqQBGbt/0z4wNphOzRk6qtkuz61ncxsx4zk8V6 7ZsJNr25+6ApGKRxl2Ox1pgruwLVw3NzcLbflmnugLerTyTHmJqIR1RXqyxoqrdzGmf20YEDhrxN zZ1XEEuVZJFzuchAwBznqbOPQavSkGBZ3G+whBkoYiJZEUHNa4yO4kf749e/0F+8HMCAHZtZRSu9 gWzWa5CufYR459aqPK6VIPVozsXIpp0+0jFT9xXbajoslwkqnfJwm9OqVXmGsHQri5Vs4pivHKx3 sUztPBTg8HyMlWi6FLRz7wvNa9myEBQPUSyNozPnKM58F2wcdGAyS1gHuBp1QFgj7nZoP76oOgR9 CVdMdNgp2JU1PNoLOQeJaXFGtrgRFWnfWZ25uqX67pYw5/vvp8GzLgw5ex4iXB1OYh2TiyL2B8NT NSpI5r+zpnFrf4iN0WHM4KOIM39ybEJZts4m63VB/SNgjA445r8sLFmSYd0vabul5qBhzrq46haC tSzuzmvKZxoOCzWQ+gI9PutD/6ifFFjFOYbXBT9vMNg4Hs6H7eGlvdAySLBMxBUPuP88p6LRtw+s OlfJ7f+LCbf3rNN7tc0ri5TQxNkeWA52L/YgoFz3qEcpgmRyCxJNl4L46nszzmf48q6yS99bCDQL +sK0cm/JlWi8ug8OnF9E1Z10aJZZWB/nRGzwE/37vHs97fGgoxZ/vZA/d9N4vANDpX1RASEZgbnK IhKgrVHYQgo8801osQJ3lzlnPIitbyu0L9boW+O19U2VsKvtiIcIX+I5Ze0UmntlEesraIO9pMo8 sVsUCVNs1rnUqXkO2NgIwCtjJCnf3Zgaa0K8W+y/WWLzsGv35bgZfK7IjNe333n0EHRcUtiJXmep 7LERyndMESrLJvPI/hnzRdUO4gEMrg2aTX0BMmDx4ApPNZ2ezIGGF7Xg098dQPiYkoQ5XOnjI+OV G5jje3ikRS6W4E6cYzOD4LF7IxGg4C9F6w2GdSomMLjsxCzpMqFO2lqKw4GbdHd/2nqdUXg9vl4X kDv5tBbChOTRnVg2hyjDvu+sWJS0LkdpENiikXNUFMj7q7Gc9Fytw9PFuJDeZzPgemMuczCUuKIs oE4mM2c3k/FoeTMcIqe+m3/g6WPn+r92bwGkiwH1vj0gWSjv74ZjElsiZjIe3w+HV86kNGzsu28o KZhEISE+j8fX19a9wwoxnY9ub52yeoXRw98PffnAPAlurq7HdqtQjm7u/I46C+YgsNx7wV24By3h qljrO+dYK+gpLdU5tnuzrSykyzCi1i7Bw+4CMjPrwoeuXM3Zgj5C/Ov4t2Ds1W9KwXUnvuKHwYDW jCc+hTHYmM5IYN0QK8EJWd/c3V47ttdg7q+CnmJsScBCVdzdzzMqfcIpiSgdDfXLisYeu/OoT3en t6NhtXeatdDQvgTVwhZESojjVXk5rTTkf29OYOZP5+P7V/2w4vQn2OXnwfm4eT3h6IOX/SsYcLAH +zf80bXy/3VrO8PAswzMxjJ/yY4Gc94XuhRLf8FXaxGJA3yoFfhuUddq5p6sNmCjaZUGkilJSUEs SnzgZ7+SWmYkbZ24GpDOOPzbrCRocdhU/Wzjay7TB5KVEEu7q60JSLy7YWuQr0EdRubSuQ9hvlHN 8QHZw2h818LEfDYzt+HMM31K6WB0dT8Z/AR+fLeCvz93ucI7/W4WVUEKPreXvganXD7ac7g4juHk 9e393F0XK3XJ8q6VmG+Ozya6+Y0PsIlzIUbYaaL+RDllctyGxmzqgQqyaoNKRfcQAyhxnwqZBiLw UUN6Z6CWA0A4h8wNkNKfoRsamacThp16PQ9SzDLDkN1/rlG+5IAktPU4pYQUqby+vvPA44kHSJN8 NFyMPJgouRuObG3wSa3WFJ8eGEUAe7TZnrFO2g1mlPI9l8A5k1iXPpyyFMsSzy9H0FBdIkdv2Ibr ba7LSU4U0ODwKqP3EoymMQ+OdQYuIuf2tkbbty8MQLKoBdK/0iPks+74mGK2bjU0tllmeL9pEUhD PE38tYE0CxJMIj8kLDucKi9Zw9f0wpznq87juRpkHnsy7sTODXZKJlcjH8KUNZzwsMbh2yKv9lvN k3Uh0lng61qq5GrsQ1Qnbl2E/bC2AZsDYR8Gl98Hr05v/fMKAiW8OteQrFk2B5vV9A0pMVaJksoH mJOCwdazvarAg+BD+7SYOI9oGujEDnEDMZ6s7d3e279deoSsxV8MA1Q7Pqy2fAB/s8S/MCrzFUJ0 E/wVTG7OYqB2RxUhGwdFIK59Qb5NojOYTocaxQCSUjfdt/FpvuSq50Yk0umue7FLmCfWuNb+5LEa SKqrq6dsPMERPVOBKD5+xDtJQUzszLaCdyE6VfCAufMbETQYgjDvCYURk8ilssoutt507b0JFGAK nQjFqSbjsk45aCf+iijHWKI09UV5n8VCpH6z+x/GrqXLbRxX/5Vaziz6jh7WazELWZJtdYm2Ysku JRufmqSmO+emUzmVZG7Pv78AqQdJAXRvUjG/TyRF8QGQAHg1sxKXYRoq4ueXHyD8vvwJlcJ6FL9/ /kZWBtb9rVqGIcumqY77apWpxO3qqXT4l96/HRlNX2xCj1ZXJk5b5Fm08Zk3XRh/UlU4V+RCNqKi GYq2MYRUZ8voz49nPhjUwmyRTphLNDZisz8ZTspTItR8lmChsFmewP3l5XOMs9sD5Azpv79+/0Ef 3RqZ134URnaJkBiHROJgJ4oyiWK7QSE19X1670M2ST1Eh5JW4+UUknrcZwRV52BWoa3rYWMmHWUY qsCu1vFal3UOve3CltzVIAFmEVM4oHHoWV+x7rJ4sIu61tTh8YjA9KV/TBU35+FfeFSgPtHD3/6A b/flvw8vf/zr5dMn0En/MbJ+ef36y0foaX83NAX5dVjjOglLEYaH+4z/Wvkw1HzOoM8GaRi5cJCN zifmfGZkPJ6OXION5nJmqxc491LTSZlf6yOpPEu0wkgb8hjCXBEtsGvyK4+ixIwmrzyhqFf1qvcg gjQn2kIIGdU+8LhpuhLVddWdlWjF9VWqceT8PAXi+1X6nznG6P7Q5Ghj6aAwpm9yoAo64IjCYEZv raXZZJxazg4Q4V8/bJKUklEQfKzENFdrqaBnBvS2i5zkUazl0T6OHLURfRIH/PgR1xjEdMfjA31m IKcspaMwb3rCTtzZb3oSOa1NS5C0fZbzaJHrPdt4qmVsiyU28JOD2nu2d4o0wrmu+U5wfgz5Yruw CDY+7Rcv8YO0ZWuo/V01b4u+KuwX7dozP0syRmIKAn1pt7mDJzx+Ocag1gZPfFN174/vLqBT8uOR t1Kf0du2ZYwhkOK0YtQJN1rzluub0xAcGU+Cm+bU5rr9TYaGr9DQtJljaKHV/Xqj/U8Qsb8+f8HF 9x9KVHr+9PztB23dpibvE0yFt4tjwiqbIy/PFG0Q+9xEfT5tT/3u8uHD7aR2QMyvhvH8LI1CVu/0 43cleY6voIkPdvVH6ZX/ZKu9gmVzihM2jaG0Xi1l0nhGQCF4qHI52pKu2um3zwgWBCVh/gtICmeI oStRc5G6SUxRHjtMuYm8M7y+yyczedmcvBYawuzot7XkHJg5sGspUWU0C9JYQhmah3FCz3iSITpQ jdHRFHQxknXoqNJaM24h/FwfyCjNou0ePn75rM5KCBvdFvVpGc7iUe5o0ecHCwvFEbKQMSr269ta uelbqMLrx/9dK6EA3fwoTVVEx9mpe5K0q6/S07Q9vMfovmjWcqx6jMKMEUXkDlzX56LFDc0fr1Cd lwcYYDAxfPqMVk4wW8hiv/+PfoS0ro32niCG9mdqscXXhjpo+8YqASSzrkfTwDE0c+TPYYpOu0me sx6pz+/M2MBqFNjCnxT8Vn6XJozGnExt1wF1ZKrIhyT0lr0C5U/4x/O3b6CxyI+7UjnlcwkaY40m bWYdHFqMwnk1RsNvnd2zLFZ/SDIePkMu2+p8ft+iPwu9WkoipbisGcO+cyhAisZ6BKkvo4zZV61V NG2X+D4Z4xTx8ilvt6unqtoh5igGvTGptIce/3iM4KV3llmYZDvVmeymtlZhYM1TuXoAdAWO35xA 67oWq0dAGfBTRm6YCGHgIohtGnekFbOCq+MHP0hWBYu2SDldQBF4XULhg6MfcZqEOh7DleH+x+fE eTU0LHnKQkvXo6P7Ec/ocpFHZQAz52lL79AoGhdSbURPw3rmO+KiY23xWRRno8C8fBueGIOlaXIt GA1S4rxsvsB+Sm9wKka3SZkIYRJ3yu6SMbkyORhDGtE7ORKWHqI3cndb4SvxXSU37PjMRXnbyQ09 a0iXfRhsbO3P9Fun1pl5T02mvvz5Ddb59fqTl20EgoK1mo2pVjh8hRxbK2mPrpAluR56VGow0Kmr ePhyCOI2dcjOLRJO7GLaYpdGybr1+7YugtQ1X0PPyuyepUnNVlOqpX5Xupu4zDMviqwqoo5kJf2a Hz/cej2osEyet3DMOTnMNuEqMU3C9VtjchQ7+jK2fxIzcfVUg+YNSPauuTDqo5T281VTQhOkrN41 TiuC8T9VH6YIozRj+0HfdvACaWy1iEzOfLul+3diWHEvxRZvRLFSn0Qa+saJJvG9Zx+xVT+whC3H WYASfnrnSiwaWODpmzrGfu8EQf1C7x8/5kcTerwiJ9isutG5BDHAp6ch4t3ly6OyTrTJ+BSBSvj6 +e3HT9AyHGJzvt/DEmYG0FVNBEurGcJonO9ZtZ4sbcpT+p/ISvm//N/nUe8Xz9/NoMhP/qj4wp/+ fNLmtwUpuwCmFr1iJsZYcmpZD9TprZ6J/ySokk1taUnv9rXer4kX1F+8+/L8nxfzncfti0N1NstV 6Z0y4dDfRAH4th61A2QyUv7h9IZh/DAU2r1c/JComcwjZoCAeSL1IuYJ/RTMBHwO4GoVhiCaFeyL h5S7n86IvIHOOUmZSiapzxWXVh5lY2tS/IToQ2NfmXcjpBOM9IRYKqElgqoaJoFxpqOjqBGyqqVN 7GyfXoK3r0R9pA2nKLYxfGxE3tyQm5H9dc6pqJpTr37crZg8vnUbdOn0pi+CLGIswDUezJSXJucO uEymfJm7vGm5vUucDJjutLHSGOhWVtjcKlxDn9kTjtG9CYOiGRuJKl8Nvfs2XRHQB1DodyGsgozn Mfxd855OXUcOM9DDkxXUaiKVuSJqK+C425CXxW2b9zDJv9ezBTkvzYJIPUWNbCnryBCTenTWMdkq S3p9TmlzEWhDs0cLD1AgvJgyXBjrdcuLPs02kWaaNiHFU+D50TodZ6vYWEF1hDwCNQg++yg9hCZK U+1Pt+pKS7cTqSPdkKbmAHR5H5Ef8yVxldP2HXYyqpdNDPiOfmLY3VlIwCCBry0PU91AWYJPpS9J E1J3Lea2BmRH8ognUNWQOz1Euq5kTun2ptdSgGwiR4s2fRhHPvUsmkf5cUDtNmv19zdRQlS0rMZQ tJISRzH58lJbouuNWBa6ym6DWAZNWD/cx2FMK2ETRZ4hd2JLbTtMHOg/Gz8iPrQEMo8GgohoDQQS 3SBKAyJVxqqKCEHncFcwylKy/RCKGQ1oHktiG24SR/5ycQr8ZD0I9vllX6llc+MT8Kkpd3V3WCPn PvLCkKrxuYdJjNat5wrDqhHSSt/ugsGFZK3YtWXK5lJ0vucFZLOVWZZFlLAmF4/lfeRPUIaMjWOV OJ43WruSytvw+QdoRdSJ6uy4ViYbnyrfIBgS/YII3wuolcJkaL3QBGIOyBhAF8t1wNcnBA3Igg3h xZeXfTL4DLDxaf8+CdFdweDEjP+9zuFOPw0O3TNnzqH3XS6MKJdTb9gVuDFPAEN92+XHtfv08iSe SZFN0w+tu2Ew+EF7JW/9GxllFwdEddFPkqqtvS83pdfR4y0XW6qWGC93oFTXibBLfFAUd+tMEUiD 3Z5CojCJOgLoQU2/9HlvmjVN8L6J/LSjTpQ0RuDp0XBnAOSonEwOiFRlKHdcI4f6EPsh0eL1VuSm 8q8hbUXP7zMFz7ZsmXfN6lPagmgi/FpsaB8pBYPkevaDgBymGMoaxA9n9s2pOICMwhwBzSy51Lg6 jGIQE88ImMbtBpjRlZeQ69WlgBQRAwKBwI+YXDdBcC/XYEMMJwnEXF0Bcg97FMQC96dGSuwxO9wG yc8cbyAZMblIIZRRModGCP2EGgvodKymHyrXOA7p03eD4+zJkkH5mUsgS5iSobqZewURRRt6zPnr 7ORexBFt6Tcz2i4IU1IVnAuqjrvA34piFlfWdTknMJfRKtjcm0R8j5DcJbg7ERBcvQDglBgAIqV7 v0gpRUGDqdEkUmqyEBnRASCVmM8hNSRToyDcMMCGmi0kQM4WbZEmlipDMDYB2TePfaH2lOuuJ+9a n4lFD8OVeBcEkoSsGUBJ6rmlK+Rk5NbnzFCWyGQBXR4G7nF1wssfUtsbi2jEXRoxrgit4AIwzU8/ CVy0nRzduOf+ius8wptJ256xg18YZ0Ha+U04yKREv4dkSoaD5PBP6jsAsPnTXUxBTsq818ssN4oK pnpiFFai8Dce0SEBCHwGiHG3i3gx0RWbRDiQLCCrL9Ft6FytuuKAavYSZZvCA+INJRDGZMF93yWR a5rvhICFilKYCj9Iy9Qn5s687JI0oABouZTqEfUxDzxC9cP0YSDTw4DKqC8SYjrsD6KgFttetL5H fhGJuNcdSaHOdjTChuolmE7WXbSRT/S3a53HaUyI/tfeD3xyPFz7NGB2LybKUxomSUj5DOqM1C/X 5SKQsUDAAcSryXSid6l0nAvRBJXEmySNekIBU1B83FPtAiAMkQN1emRSqgOhDmpmBSMilzzyBhbN 899KsRy35uTj6Wm6PGo52ZtAFflA3ZGt4qlS4bhm+qmtjnNEVo/IjzelXYo8SxtojMg55rTaY3p6 /vHx90+vvz20by8/Pv/x8vrzx8P+9T8vb19fzS2nOdMls9vevCjCzJC7oqM77XoyqoLcFwhmiGgc tXPAPhyH9x6OA/JhZXHCP7oIyus+gVaWXpxRvUWd31AFjhGcHEV+qOszHvaus5XJXUvmO8kKZM4z awz5HmLgCTexA0k29u6Q+sw/A8/7C7wuF9mdMpUF5sbVNlNgbaoFdv1T2Xv+nbqMjlvO7vJE5l+1 WXiv2U4ygqqL0R6HjeelbtLoRuomPYY3GORuzvkY9bF/p7Tuchzu5DMFK3HnA2sgtNAA1SrcTGVN eo+TBPdKRH377jdRJ0TBneJqMcAMUTI+dmJILk3L4uI05OeehbseLbrvvK70j3NS5FEUWwV0Ib3t h+32TmtI3h3KeJGIu49OLsVu2mjrfqebVseqyzv25Sb8/CHnKKPvhbOY2X/QXZm+9P27c1V7vlPY fHWDu627IvTDyjUd5U0tEt/zsXWMGb+IsFOXpDtjHHpe1W3HZ6YZQ9q12vmMVoZs40/Rbh04uuC7 cOmn4iIkXpg6Rt++LQu+57fYEFxLwCJ9y4NV411EQ7b5ZFc63ik5izTF89sn/armom4LYt0ve+V8 P5lictks9ei2S0aUYAvfsD11Xa0CBS8fn7SD3+IldhpdSzZ/qVuM5CVeROYGgytG4p1+DaBMHqOS WzEIdEjULS28SlK3a/KOtqnVM9mLvLgVgrLSMWiGJdlWvzRwCTDz759f5a3zUxS0lf2r2JWW3I8p mjnN0hchXcWL27egZNP9FZ/twsSnNPcJtGzzpFsleggwG13ysbwP0kQFueRJIIpBp+MszhQFw8Pu mmrgbg9aWIemKCkbWWRAa0eZZ+7ZyfQyixJfPF35vIc28AZ2uw4pAqMX0faJqgnrgrkDC5sSFQLG uR+fHtUROnjTTIjM7qCUDPtllXLiKskno11JUDksGA+gC8zjNsxCvh+owByw8OZcNGgg7WGBR/fT 7rbvHK1c+FKg41tibVsjUwco/+waACBtRSDi5WzvUaGG5eeycx8hdDpm8wdOFA3ycaKAAwiorewj et6YCm/KbbiiCFeb5v4a0pl+RFgHFf2/JeMNSPxdF+ueOZgmPVIKcTKuakHA9knBtDRtRar7TyyJ kV0ZmRyTgY7VeJrts6xxpoRn/rHJMmuVqrt7LKlZSBaRbqiDmRFOMy9Z5YV2lURWaZbRR5cLTm37 SVRag63yhFRya1eC0/aA/dS1bquzDIrGVubYD/ZtRRp6rvoLU6hmPrhMa2PajR5RM2wuiKMDzirm gSxFsK6icpWTgTDp4SXrr6RKO9dzv0lDbuGbbb70NOXntMrnMTW3b01Uqb185avCvUx29SaJhzsc 4nRGh0Xk+SvZABNXkQd0wuP7FAaidoiYb4do+UQ6Fd23JkEGfnz++Pb68uXl44+316+fP35/UO5d y5UZ6+04JIzWDkv047+ekVEZFUHmrAfVlOmWmTmmgU6UizCE6bnvCuivJmr72ak005h1zKURFzNN Oc0Ze7xtF/teRE17yqJetydTKYk1JWuObsa3VOmk3eUMGzaRU60nn8F1chSvprQxG74vS0Ia8yN1 9Mhz1tNw2NNT5+5hYrDqMCcU/VOz8UKHFAqE2NusCVoBT40fJCHR5RsRRuFqLuhrsa3OZU66IkiC 8mS03tDySJSzNnogW0VOVkd2qfm5/oBaLS8bPYl0Y6/O8ynEKo1qaUQizykIAyXLaHsQNUk8bVIy RoOcJ08HAfJ4gjs0qxl2xEASdky0cwb3SSD1D+JC+9iM81kYwDDgg7csLMnhpduux5WJW2Ygi93q dUEFD+I7SsfjIS9ztNKh4wMopRBdMXDCrrhuIbfxpOCmzWjT1j61Ep87cVnXSw8Eymmwc+6TO5Kx 7zMl8jf0zYxdPVQwPE5Nn+uRVRcCente8gbtULuL0L1WFg6GRO9aaCGdRVQHRNU9N6EZLGGFJFhx UEVP9QNwEzKdYTSsjMIspSuXH+EPFVFAo0z6+wqhVGINVQPxznsr3dNZgbUqamA+Y2FmkAJywbAo PvWSu/wYhVFEtrrEUt0zcsFM0XRJV+oe/TbjhTRR6K5s3TWgMZM1AigOEp/sB7DcxCHzsdzWqBoP xJmEmoksCtlfpHPPwCFs1VCScPeQRdggIV3W0hC1jjKFAhgnlJ/7wqGUTBONGAdHg8UppDYpIrsZ 6oDxJmMhUwM0wTSjt3JMFmirf4UVuD+R5ERkt9D0a7aFSI8oi5R6fPap7uWhYUXrQ8PSz7XRxqef atM0opsckJjpx6J9l2T3vjRo5/Q0JBGyh6/1/AVzhN3QSNs6p3wPNUaRw+LClTEq4/dK2aXDnfWt 3V0+4A1I1Fu2V5hnYx6iJ2EJZUzFpeRybgW9PW/x7O05mnXptrerEYh8IejGkv3pUhy64lzhcU6P YSnJJ+bNgjXUb1KP7ChrTzMdi33GQdAgBRvailknvQv8kDJx1TniGjBtD8/HCeN5vrC6QLQ5c+2b yeoYpyiNFYk0ie9NZWtXuzVltaehYc0+8tU1F1TmUtjfnk5siEubez1Xuy2jZNjc9ul+nlJ7ul0F eemKRoQ39OKceYv3aRpsyCunTU5ypJoI1O3Ij0Oy+VBND0J6lKv9iYAcDeudDhtLyYlcYj5fl3HD g2iEaUPhTos744hp6oYd3JLgKLXa2eq2hm5NTk2+rbdapMxi3DY0U46nvt7VpjIjTSgkiiEFTtxp m2QRDHUF+Nvzt99x/40Idnrd52yYVQxvXreXa8htsZR68Bj4oeLElvqVSJhatnjLuHmRk5a+3N0x lyxR6dQqKCe5Be6qZmdebIjYo+iWm8uJTKFg0fWwFLSn5rR/D19rR63C+MBui3dQVQK/pnFh2wLi JaB4U3fxT5h/1nBT5TI2a7eKqoMcvD3lBl+vnC/55d63xV5glt/3VvvjNcKrO9tHJpm+r8RNnsET GLYih+Fz3QEDZ1BoVxyq+epg3G94+frx9dPL28Pr28PvL1++wf/w8gdtBxmfkhGmD4nnxXYjqTjn jR/T21MT5Ti0tx7UySylBuuKNUpVWog4rprzzdbE/WWY7aFsCvp4Rg6KvJE3ALfWTbF6U59gBOd6 dfTSdOY5L607iZZUuS/S9uQd8EDKRblvL+aXUmnqEjMjxxEoavquAY1CFKraq2gf/pb//PT59aF4 bd9e4U2+v779HW/k/vfn336+PeM+k9kDMIwiPGa0w1/KRRZYfv7+7cvzfx+qr7/hfZd3yimLVUtA GnzKoiXaAiHGOUZNKY/V+Vg1N/ugenwLZ9X0WhxPl2uVX/QajEnjxai3oh+oid4iK9uUiEyGf+Xd Gf8M14VMky69L2my2ktHnWFrryHD0TT1/tDbTfqIl8w5h8R1X9mTG0xIdj7KRIHJ4lI21jfuVhUR +3wfkMqRHFdFfkYr3kMpViNEYs21pHU8ZLwbKJcARNr8WM0RvafO0T5/fflizYmSKK+kn+8jMF9p JHSX7vbB82BNE1Eb3Y59GEVZTFG3p+p2qHFPIEiy0n6phdNffc9/usC3bOidlIUOCz4sFK5Xle1E l9XVoiXPWxZK1dRlfnssw6j3Tf1q4eyqeqiPt0c0b6xFsM09yu/W4L/Pj/vb7r2XeMGmrIM4Dz2m PeqmRitW+JOlqU8J8Br3eDw1eEeXl2Qfipz6BL+W9a3poVxReZFxM9/CGU8I+s4zlX+NUR/34xCC tvGypPT45XH8ClVe4os0/SNkewj9Tfzk/mzLA1DRw/9Tdm3dbeNI+q/4ad/mrEiKF82eeYBISmLM WwhSovuFx52o0z7j2Fk7OdP977cKJCVcCpT3wYld9RHXAlAAClWJE6kmOldkWR2Fpa+QPPLEl8QG QeiSbVSwss0wYBnbrfzwlMpv3q+oKs+KtB9g9cVfyw5EoKLLVzUZR/9Ah6Fq8bR/Q4VpkuA8wR+Q ptb1o3DwvZZTBYB/Ga8wiOjx2Dur3cpblytLh1lOIW70WcMekgyGYVMEobOh9sckNnKtxajKbTU0 W5C/xGL8JY1OVvCuxIcXJfO8PiYP0Uw4DxInSEjBvkJS78DcG5DA+7Tq5deXFlRhqawGwqnqgxVI o4itYOnna99NdytS/GQ0Y7eKUO0gnRvtl2b31bD2Tseds7ckB7ulesg/g2g2Du/JAHMGmq+88Bgm J0s1ZtDaa508tYCyFiQHhiRvw/AjELrTqhLdx/Vrd83uDUVrxLRJNbQ5iOeJH8jrGAnadPnDtNqF w+lzvycnk2OGIbSrHgfGxt1YpjCYPOoUOqqv65Xvx27oLupy03It57ZtsmRPLtAXjrLiXy1htm9P X7+dtcVfhHIxdtPo5qkq0yGLy0C5OBuZ0ANoLIgbKXOtjJuKD2k8sLIPg4i+aBebzWldAVJphFdT dq8wS8OEk7fRxnG3enZX9iYgjZRNUNdrejmsvPATBI56cye+BKUCiphYjN+EeodKMzQYvnFO6h5N UPfpsI381dEbdrbFrzzllqMM3DzWbemtA2Nywz3YUPMoUC2uNebaJtCwv4WfLFLcII2MbLNyez1N JLvkMfDIRa2KFMj2kJXo+TcOPGhAZ6W6ixaIih+yLRutXcLApkhpsLWWjcoNF7nREjf0NS4sn7t6 7awMMi8DH7os8qycwEyqThyXK04rxVahZBh0o8ehEnjrBW4YyU/TFW5SL3wWuFqiIkZlcgx9fVBL jIF1ikGvzjaOiMQcUhySOvLXwQJr+BS6jiYp142PSRzYYUsVZmZnLl9ix6liK2ifELVTnnKfgrJl He5Hz34Mc4xtgyUF5eaYGQeQE3nhdbeYYXpNMQTCbqv1exPXe+3kZVuBAmjMz1nTwE7uc1pQJruI 2BeO23nmHIHDPWmM48U6t/msF+J/TF1LLA4xv8I20X76Mz6T2+9oMxPRErHFL+849BJu27jvO2Mj Np5+LOvsDUbjEse0w+cua+61jsE4U5fY9WId3r09fj/f/f7rjz/Ob9Nbc2kJ3m1hV5ugQ7FrOkAT p/QPMkn6fTrDFSe6yleJfN4Ef4sn/MeUX07tFW4MP7sszxtYfA1GXNUPkAczGNBd+3SbZ+on/IHT aSGDTAsZdFq7qkmzfTmkZZIx5RRSVKk9TByinxAA/5FfQjYtrFZL34paVDVXGzXdwX4KpFCeZhB8 3DMlMhlmLh1FXano73k6wlaTxpMWrH6blXtSXP6cowkaj7ywN8Q41mpZF/SdFeKJCFgyPyuoE238 8AF2lK5yhiBTJ7GTk4K5yFqKSrh+pHNioKBA77RaclnBW+ogEljpLtPA+y09H2DjHBtr66AbCxEh 1gbgTiKeF9n44omZjTlG07Zxm+xInRRgzcO12up6/IgLCXRJjCQPSi7JfOBt9rlLtbaauJQ15ZWr OBjE0s63AzpJtwm+Mi7jwtoCI85m2ima98GR/fxcSJZBB0z97yE2IBeP6Hmc6DKMXMuIQB6dLfe0 ZLiH48MqVOyoOZKUeJk+uIEyeOTufmaqzhmBerRLXZlWMP9m1EkjcO8fGnW+8xLVDHkiwUY7Ti3D WfB18TlWVVJVjkprYUuit1wL+wpYay090NwrKdSF/nnMmiIrrXPBqYD9GW0Gg8n1zAnorSt+61gU GuyGOZTyoD82VepWWGIuComxdInxRkfQeNztLGKq3E3gbLIFtadv1742lUt+reW0ExaRDqeFWAkD anWqSfFkpipUTQZj/yl+ta408aJ7r+ksM8+cS7ZNxRJ+SC1xMrAxOEzRFnNG0VahxaID5/+C1TSz KGpxVkEe1JDanVjIt49f/v389O3Pn3f/dYc3t5OxuxGKFc+V45xxDCR7zNTIlchbiAx5mYKsCVwR 923i+rYQBTNofLFyA0SYgxKo0f1HbglAesWZdi8EiCVoeEmPOQ1l8Xp9RVH2jFRDBJ5kAnrlSOZh ROKzVdGNMlie1En5H313FeY1VYJtEjirkM4fFK8+Lkk/AxfM9HiDSjqffG9Pwn1DhOfvQRHm6IX6 miJoO7C4kGqvfsuZV3qY6ilzw6BoToFXXSn7fcM/h4pz4zWKykF/YDBMMtIhtpJgmYwvdlRSLT8W nAhDmicmMUvjjR+p9KRgabnHQzEjncMpSWuVxNPP18Es0Rt2KkCRVImfoPtUClQZjYlUYpH1aYMs pYmmIlfkNnnmEq2RPJQMfRPAElvJ3StyYj2uvgn/l+cqtRo3oQOsNgOrM6McTRUPFk9xyD/iE2WO /ZiVLW0xIkpm0SFFEnq8ciTGbT4JvtoDHfruaoiO6YriwYKe2lf7AvtsSI9p2dI82xdmH9bdeuUM HWu0lKo69wZlNypTMUmVc+xNNIs34XjSrffM6J7ELiFaBVjiROrDC0Fts6ynniJdmWKnrI0O1kWR EkVhorkEzVsZmZ5Iz9jA2baRbFB6IQlLOxEVXU8rZitnRT0ZEcwiM9qh6h9ge0F0i6BrQsjXrhqA aKLaop2MbN/3fHECase0/c7icBd7ljU5s7kjBv5eeEu1snP2oH9uJL5WKypS1GhjMmu99oUW002Z zJiaRBofKm+v0rIyyfYVRVODCl3pySdLfvNnve07Sk8W5Sq5M8bIUD4byRavqcDfFZHFLl6sGAm3 DSRkaSMIVhEn1JtcePuI+hVNLfTy3lfN3nEd22DKq5zpn+R9sA7WlvOUaUGyOfZBdlm4vm201XF/ aPQMm6xus4TaTAtukXqu8UmRbmx5CJ78DEDMmxmL3N6Qgok8zl+2tQe3TBU3JO/YW+ImAO+h2Eke ug7JP4SRouQTQfS4NhSAcD3WSBNuckU3m2RCEUEyqE2CYHJq9AQmrItTozeQLxYT+J7lbWpfsK/I 8erKKtkzjGf7go01sCSknXqQGF0RVbnj4eoHyhzzaL0io0aosKpMe+1kU0PA8kIH2zFgnmv2hcwd Ek7044QQZvz2YvDMW5GRojTRIqRhDEooIn9Oxp8rUvLG2zme5aAQDbwF+SjkXcdFzM0KNKmZLdT1 KoLGFwWaMeh6lygtiiUs81CO39J/BWtjGhQJU5Lf8a1B0K8hZ3LHHMUt90SOWcY+630g8Nxxych0 MyDYZXojIPmQ7Zi+WdjGiXpoP4PxtikwyXWVkMQDQcaQndOFklGHI2syZldasAKnjHyCMO03Yn1x P/Y16GOp1ot1Iho93qlkxcnfRLjMh/o2TCkZAlliV5YEf7Qet2JGR3OAtCJmB5SYWubapxjkxw/7 srPp3ZCQcCeLt+CnQ8bb3JyFJy/AWnmU3RLMpqW4ToR0tD3elTe21ui75zW+G23l/3h9u9u9nc/v Xx6fz3dx3eH91Phs4fX799cXCfr6A63Q34lP/qmEi5vqveNobmy5RJJBnC13l0iog+nGpp9dEuL6 Lmxm1ElmSphgpZA7zYGd8S4z1qeZ28dHS1QotdTuoV0qNr6cwrp1plJaGF1+9Zi01H3KJOhiAK/A dVaTZChZfPptHa5XN4X4PmvuT1WVLI6IsTK2dV9wxYTMx+dUOeykybYdUfdpWmxJi38VVzDVB57K xQcnww4v+5P8Ac3H9kPJitQ2FvHDor2HLWR85AmVbNFGjho1ZHzAgv0xnXCJHmHfn1+/PX25+/H8 +BP+/v6uj4/RJTLL6NcTEqLfQwWSxC5qV1xbfRAHI8kSBEbHaT78LcDxiC62OZ7TwDgUP5guQj9U 1DqhvYZeUfv+48WETRKD1mR2g0EDi8pQa18uhewIfLtZOT45pj8gRFoBer44IuseY6HcHLSfbS5X Z0ADy7YeMdQATbbLxtC4zlRy1Zrzy/n98R25xtAQqR3WMH8urwr4qmYZ8NuNudNaIqJA1e4yay23 Q70gXgLQZmYjkQ7wPPcO++5RLivZWOJl+a1FdETd0lWmtHDgNT3dfB8v6zg3Pj//5+nl5fxmNrxR GeHFeHnUASb6f2CI3agO9Vcfx66z5RYUCNF69BBfaAuzL4R7fnOtMUS3Pf8Fgpu9vP98+/X9/PLz MqwE3uQmICnS96TuNkeDYPqNqQVXxB9FHmO9cTSgiGeRaF4+aVQRb2/kOsG09cHSkL+/oqv0u/88 /fzT3qh0Fjj/LxZEGM0O6bGgBeOjnWomTHkv0CBT/BdjayDxxCYMjfYKEQvbirMo0n27q/eMzkEY HePv9eUMbBy+VKTpeYOW5+OYXJ6trpcdC7VnsMMcujbLibIhz/FC187RTRgUfrhwvHsFBY7FYaMM C1crSylCx4nsnOFwshVPsG/kfL+mU79fr/XLz4nu+8YR/8QJHDLQpQRYU1W8970oIOk+WYQ89gPZ w8jM2CZuRDPagceVSY+55+f6KdyV4VHVHFm2k7UrwrelGlhTXd8SE7xdytfG8feF5X8ogZBoIWR4 ZLciJyDDJEqAcEUnGTo2uhbvWOL1PdHnE8M2FoHtOeT7LxmxpkvjrY1LzpHje7nl0eMF07ur0F3W +qct9g2FZQK6/vaDyOCjSYYE0FiZYW0ipCIp9ANipI6PMqYLZo2X8tDx1iR9DC5rFDHlkefYLm9m gEuIxEi3ScS+LYIbc3Mm+t6zXdqMhwhlNTT33ooetRd3jANfat6C9ZtoFRF1EBzPD5mF5a+IthQc +ZGUwti4No5HDfyZY2vHC58n1As4FbYhpoGxtMbNqWDxIto4wXCKk5uatwbHOFAt+c5mRtdx4QQR MeKREUYbK8PWEoK9sfvqlXFRYAtfIaE8xVGexlgoBQyXyPAATQF9Z+XSZsMKyP3rRllhAJAjsMlh tSVauGlhLo5QYqgaIBd6cVmemtYPHHLMIccWp1SCrJcnboT4tuu+GRARmsFIn+pm8EL9nuZCtn7h kA0IZHv7jcyY6W1IQv0Poz6U4MZZsCMR5wfJaSiq+L6zmTYI0L7NfeNSS3DGx6gM/p39m9GI8bzc OHshNyecF66nRieRWb7q6J5ABJRqPjFoTQaYa5+apHnLPNc46p85ZFieKyAbOCM2MS3jrq/bOFwY gYWhPMNVGJQ6BwzVP5/MCB2yRoJltSuaELAnoMoBOsnaIRWzdsc2UbhZlEKB2Sxdu7T50XNXLIup DYPEtE3EF4jnkNb1Js7tqXrK7Nt53VpWJmQS986a6kTuMdcNU4ozqtgWjk8UvUuY41HKHi7QxfZA jArgbLyIyGRi0LMkvvHQbQdnuktu0gRnaY+GgIhOMnRIPRU57tI8gQBqNRR0YiJAOq0SI2dxIhAA QmyRHhJDFOnUYgb0iNIwRzo9sWHohxWd98aS1oZW/5AT3uikTUjoHUiPiP31ibMoomci1ELDxQUf /TP7ZHcIDv2ISIIElncNM6RkHWx06OcWMsYnvT7IiNGOlvw4cinPGSqCkIORQc1ONQtAl2PENyLS GzY53sA2hjncFXKcEIs1H6FNb0JJYNtLuU4nqOqRovLdqDHgvR95DHhlq4zxSHTfsPpAcNEQULYV EkeRit9StKKpDnGmvllW+caLbmFXVBWF6rhR2PukCT6moy7Yhc1RXmdm/vBrqcff4uJl72E4MD4c 4kTh6JlqsTgVHoPdcYeBscv0NL1zUE5rx2CXT+9fzs/Pjy/n11/vGJ10NiLRApLOxmYDvjPJOPVe EFE7yCorsxZDlTVZyvXyqg8aLIlU7V7/Dkj4ciHp4jbXcjdwScbZFvuzb9MG9q3DoaPios7wHS+I ruSiL/dpI6Kx0h4aR4u0tuIdr0F4oIly9vAvV2aPcjJHfr07vL7/RJeRP99en5/xKZv+4FzIRBD2 sCM5qG9lkdOjtB4s/kkRsG3igre22qbT56qsCWqDPgygnYa2JbhtizI0u4LVuTue6wWdc5pjhFsL fAFWTVbRhgQKDBracqmswlr7sLiAMOzpMsoSc/bCN11WmpiCDmkqOrrkIpIm4m502eV9ojEw+s51 Vod6USwyXjtO0N/EeIGrY+SxDaMF7ZQMCaqucqWW7WO9Vn2k164gL3bXpAWvAstrVNl7a5EWO/+C wqtD+qGmApuuTpeBC8JUfUCYZmGp7MJS3RKWDq2W7R3M88hxqI68MEBKqNX/iom19a2JWBCgQzdD aDC1KQa1khfS0Q24sPK3tsYc/B1+P5iLGk614yvhu/j58f3ddOwh1k584SYfYXQiNrrRaq3q51/k UFZt+s87Ue+2atC5wNfzD9B03u/QIDPm2d3vv37ebfN7XHhh23T3/fHv+cL/8fn99e73893L+fz1 /PV/INGzktLh/PxDXDF/f3073z29/PE6f4n1yr4/fnt6+Sb5r5aXmySOVGeRQnTQO9SSz3nxadvZ Jb0QPZNYTEXFwn6KqcvFieWqjYwUESt8Xhv3j1+/nX/+d/Lr8fkfsDSeoepfz3dv5//99fR2HtWS EXK5gv8pmvD88vj78/mroatg+qCoZPUB/bkvFdodEgxR1lS5XdhGmP7g0YS0DYvvQbXhPEVtmHRE L/rjkNVZkhqiP9Nh625v6AsI2+9GBngmr+mbMycrjLnxwpvMuG8lLsxf1ORxEQnlY/Mr0cFa6VlO +DFuvN4HBG7Pkn06Im1Jkd15GT1Cdq6zwYWuqsHkdJEWmRo/bSK6tE9loRwmXdtRp09iuKdHnu7V psrTfdXiAw+NrE+e8UPdpPji+iGMA8/oyAfh58y+1KPdKLe19a7FR7G5vhNiNbolG51JSruqWhz2 7kALZLzF8A97o2dguwD/HffUYyFRO61yMIxg13LMts0UnVAuenViDaiKGlmNGzEqThwERSwku6xv O/k5xygu+BR/d1KpD4DrtYR+E43SG12P2jL87/pOb1O4Dxy2OvCL58tHMjJnHciHMt34bOQen2rC zsOsFTRwxe/TB7ksqPOP61lWgrpCin3959/vT18en+/yx79h20EvhwclWciF4/uTmUdUsazqcVsS p6rLvSmSL3yFfEvj4K5XC/N00UNVByxjD8Nko5dDVW5gg00yp1t249vpYGKhfZTiiqlHLes0HY0e +rUCT7zpOb2tDaQE0LObuWFWEbYVZc4MWnNIGnZSN6ETd9IvhrIrhm2326HDCFeSkfPb048/z2/Q Ctcdqr6yTmq1bepAWTf1j3nj0JFhyEUJm2l1IFRHPTVJ9bNpHGhYHWrjuDiaWSDNM7Xdskao0KIt GRRYMk2p2SYxtcSVaetq/ofNrhmN9/RPJ7+MR/v5hXCScNHYZYEmO1OdZ7bi3R7PWm1q3A2wsuRb nbjjOqVjsTN5c9RZqr+FkXbIEp1EquDjr3p2MxW+ytEHkZW7M8aQxMQi21UrFUc4qlyA016NNBw2 y0dw0FQfgU3NR075k7784+385fX7j9f389e7L3KsEm32/y1VD4ln2nAoa1yHrMdfyoPMSZyx9Ugi KS0j3xCvrozR/6edbr6RFUMTfXqQkzUtbftJLtU5hp2mNKxLxu32vSbZPtSkgZfIClTVgZ+yVn0n RQeXK9KCt5nsiGamXBah8VT3DHvHv/nPpy//pqx4Lx91JWe7FKZUjLxsng1LqdhPLs1U22xXwNaD lOAL6FORxU1VDl5Enw5egA3MtDcQ49N3/TDcBuvkl8V4Nq4+3xeHv8LTl9wfV+qwg3+paDkSpOhy yLLK1eDaArBtUPEsUXs/nFChK/eq9y7RpOjRy9DSxPes9Fauv2FGwqzJSA+BI/PkrmQTwrEo+LRV thy6Uv3ISB906CbjQ1WU5LN/gRGezVZagoLoGumZXtA0rmKNfCFuVOsMQRdngpZT5rFXqi30/fC5 s3gtlUEN+2wr1HRRo9Wj9jZr6p70wvWJytf+aqnAwPf7frppsqc9RWXWv9W9uMlcjEILaRtfTXSb 07QLRgt+Leijdzm0kGnJd9QCJMebV+QtcZWYw2MdWs/f6PJach0GylW/lT0HjJIaMwxkqVPz2N84 sgmFIEthoU359P+yd1HV2hxuj+mm5c51tuQ0LgAZ95xd7jmb/6Ps6poTx5X2X6HO1e7FnsU2NuZS 2Aa8scCxDGHmxpWTYTPUSSCVkKqd8+tffdlIcrfJezMT1I/1rVar1eru96cmOYK2wxjUi5iX4+m/ v3m/yy2pWs5H2hXg50kEv2Nvh6cjFwGFOKG5yeg3/kMGDljS303urcZCnD5hxYFaaN9Ygs9HWuyr bNlrjXjki31S57yft9cb1d5qn0LjEvlTOD6S6r0SMQtXny/7L40WL48fP0ePfHOvz+9PPx3u2/V7 /X58fu5zZH1R6G4h7f2h49bNovHzNVttaoS6ykhVzzNS93mxRoAefyFgUm7RTAiXp3Z5DZ3wLZx9 TW2R2svh623n8e0iVLMfo4vqtOukXB8ufx9fLiIio5SXRr+Jvr08vnNxqj8ju16syJrlsKNau6WE dzdB6lmSdZ6gHVHKp1Xo9O76S8u8V3VHkvDtPJ+L2GJQL2YpSfqWBCLVzEWidGRAvs7As77E9NQN MpUUDYW1xpK8F8IykGNVJ7brNJHQSj9G0iqpN7xWYGLrRPFf75en8b9MABM6JNPSzEh0vuqqKyC4 sl1Q1zua9Rcxp4yObdAJSzAV33DJf9Hv1j5EuEdEuknSVXRbILXZ5lnrS9BuS7Vr3BNUF01VVLon 57VfxXFJ4/HeLk8QyHwefs9YAFGyzfcZlL5XOfWqhpsMdN+yYGqaJbXpKRNugKE8FaVJ+HLdVtCK MIHTCZbFdNI8pNCCN0DRFKjZ6huNwwjonk5ictK5EBDNrKDPV0I8M0UJi2CGfTEIXJ6II6hRFQuT wI1F5WByVnj+GLJktBF2aCKHBj3YaSF7Dgihb8tkIQw2Bz6ViDHUsZIS2FcRFi2CLxctTDxUNp14 dTyG8lcUd6r0J/p94MPu0bpKkIISiO1245eEdRgDzWf8KDMbE6h2C+o+fetPC742QYsGAxCab2XM D6E5mFF+RgQmbbXj6cD0F+kBsI6qXRyPwTFlIeSAr6OmfPnHrSjAyhznc8DjY4EXslifPwJcIvCD 4fXEZ5bv+dOh3hW9MkvA9aRo/KROEeuk61BEjl85Wd9SuwYZZvScj/mm7b6RHtrmziYlHFougjXG YbMgNC++gTlHMcgFJAW23jcgUz+GbWVNzOQLmDiGHq9auYBbjz8xL866dDIbh8CCEOkQ23LimnTz t77zpjWBjYqvbCeu4yFGKwABtEPw9BDYoymjkT8Bp+H8fhKDUXC76VeGyRjgEGL6gkxzwCF81wuJ PwWvejqAMOsC9wLp+r1P+f5tfU/Ldp2fT3/wY8mtJU4YnfmI8fZ1eHH7qw6TL5VGbhAlfIItasql aYJcoHejJbwF3UY0OymXDnVzMExXzuUGIbtq4t2ACHu3ivckorIwYYzQ4fUP2If0q1RzSWG4LLZd R8NjxhH7YQRiXdk1p6IkJY6K2cEkJBVOxcG9u+Z/OVszwCwo7OKkBagX5oOQosQVmAbG1Qj1Nzsa Y7GTrkcRx2lNv0/3w0PL6c1ueNNl6x1+zpJ5bFCvxB2k9rFAIldIFMzgKBBXyDTyh3MZOhpL3jp1 7BGMkb8hfFR16nmzGytT3vL2JAehs2OH04dwfTUkOxhRZTQl5XNeWfublb6m9k/XKpItJf3AeTyx Ua48rfzbyDTy/mKdmU82BHVjPPIUdy6VsERbpraxJ9nnAoxEgOS5iHUTIyENOZkRz9sPkF3u0tIe upItHYpy4ZkiYRKlI0qMuMpZjn6Z06Uwy3TpLVW6Qcw5MbKOwTp9UzYEy/guQMukyQKvLRcI5xnZ 1sJRBNL7HWSPQ2gpnPohRXBijRL5ikN2YeEwD/tsPS8XeuBAepmskD4uCzmuZvcqL2pYVh2VbhHf IRJA0e/LKsUzV3dV+NSXDNofN6Sco5kojDfGZ0edU/zz1iWVbAJiatpC8Ckg+SbS59oblRL4mrR0 +l848VwxdIZwanKPUWXII5JC509JWonV1NAlNXStV4LBqB7kGDj+rnVqH2bFneCJmZuZSBAo8/Xu oiktWGu7ZCUyOXGzZk6YHVhHpcObR0IqfAoZJlIDoO89Wjd33NYJnk6J4e28lgtRBiFnc1L1WVfh DF+3xSQvR+Et7brFEPZtnYgng26RtvnjdSdqKiItNtos59uF8Wit7TyRqbCoM/r5QaZath76c2Cb kAQup+yyXphYTWv18HYqy4qFqDnrUVYZKd0tWX4htNLy8hSWmczPpfI8g08mFi5xV08bntnur24Q tvurbW+Xo7DnLZA3Q6t0IrZn4IrahaDbImFJnjdYATwd8eSoq9XMCy5pwL4KTQh0oWPQpTnHdbC2 9t0O/9k4DhENSqmPQ3l1b+XAxyKjV4KVG4FNgTiFZVWysUNbykJE/L6BI5fAiItwrI7V1jZlEYl0 EYEP8HcLu/niN5//OR9kKIy1JIv6UYs7dMmcF+x72WFvVhURj8Mn6dS6gBFiaBs3yU51miFTxJ08 2Ar5/EAQjTxkmuRv+mHw1XZNP5x9ej9/nP++jFa/3g7vf+xGz5+Hj4vlOlWvuVvQtsxllX2z7KF1 QpMxSyvEl1yGOdCvCWeR0BtkKPpkm9aUeQnvM8mq4oV1o4LZdBUFWW/24OB1qA0/wHLJz5tCCr+V iGeRFIZhW5siQkiUxNyiFcex0dc0rdlqhyl5OXc2cMppM69edfj78H44PR1GPw4fx2f7sXOeIO+L ReasjF11QPu+/WsF2dlxGegO4k7X1hjXSSBxNrHVuAZ1lUdhCAuwBooliGNUC1NCRykTkYeW/z6H FKIkb4JRJhOkXZyGhJ80QHPqxTF0p2JgkjTJpuMIKUZQsQCcJozJ6NxIsAoDKFWLRbZnyDMFB4q5 izZgy4zm65uovn4B7FSflsyDbaPNzPgJjP/PtyN0idxvqvwepRbMG/sxF5SLIs3hK36juJ5qBgJ1 bv6GR1vd7iGDvdmvCSJsXEG75OZs4Cdfv+mFigOmZzr1Yvt5sjn++T5LeV5IwDk5ENIIGqmyKIDk d6RoamREBSKhvnBVlu6QqasxcYC0WtGbCNNOm4BmycX5QdSdE4auB+hHaelBVkjg+Za+RpxRX+nD 3zNYbSHIFV9m86yqvt1e3auc88Mo2QWIftyFwsp4BxXOkN6zYJgXHAd1m71y1HQWJzvsPsHehnzE KV2ViUd6Qn12k51vxGM0RGkkDJbgm33xaU73MYVFko6MczNJxmeNJFvcTpn2nJ4Pp+OTdAkOXW5x EY2fDXi9l9uh6wEX5ofzL+GQUXZhyDC7MOwEZ8D23hiZCDYqRiwhWlSdbPtjqQUssE/BydI+XUQU Y9qK1S0IFhfp4cfxsT78VxRrjqDJ82sf8zPuoJDrDAsVTaPbuwxHIR72HBRyO2Kh0AsSF/WFEmMP 2y1sVPSFesXeFDYaclDxl1DIIxIbFXoROPeGp4Uxc27HGLJy/Go0GcrPdRX/Nwm8oKFcdrrVljLn XyQrTIC4AtHgMt2o4xKEVjPeFC37kWdsbbg3NuADMP9LsElwC6YOEYt8h0skOhTWJhFhE3AlP1yQ WYy4wTZOOG1SI2MfM4hSivfc8vZqiBoPUmd2zE1VYgLHsjJGivNGkqKzq7gDY1nY4v2SClYP3xeo O4Hd7XqoawNITfDAT09rN2z0NVVqqWFd5BWDTnkDg0YJMjHo9a8JQo0cViyjzda1kjB4CTt/vgvN gXvzKx8UWHesKqWsNnPrAqGNgSjJYB1awXsA0oaFGUC0ljVDmAd5n4UDFnVNqzHnBDgk35fi4gwH SIObaACweSgGqFU61A8qdNAgPcz5oOII5cIApyuTmQGAdqY2gNC2LE1dJwMobVI1lE9xx6qkSed7 USPBVZA1W5SMnyEHB2XPhprEF0qVDQ36WnZbzWcXKW/X+Ma+p0CczWGmwBqhLngLVO4XGFoip0VS 6c6Hd0ZSUb1gWRmP4XdMHLObUnnZkydwTVUI1DKHdZU6QCqqyJSNVPtyUz7A7LC1hRtYT0Jr0lTl 0AiLy9yBVSN20Zuj+pe4o0Xbyla6PxN6A0DrLWKvoy9M+SkTCbXXZlEjKyHrBhVxYqebIm4qSJ0j 3qbaWbxHDE34+YkvW1rBlqkd2ZVibXoJt0BVXwY1/caapB4cEVYLezRk6iV8pDyIk7W9nbNk172L M7Lmi32QFehD4k0Eb8AGmfstBKPLV+nCxZWYbtHEOW9bwruzPxt5kLyYb6D7OHmPxhmZIbyppOvr MOUP7XA6vPOzgLp3Kx+fD/I13Yj14/Kp78XN2bKWbk8l72BgvW9la9dJ3m+b7hfaZPXWTxpZ1VWe WM8T+5iCfId9aNhQ4Ti4XlWb7RJ6W79ZKLhZlIzr1ruZvK5pHRVzAKKDC+IA5ZNxKIdgxg8vycMt yGBNBYsc+F6wyB5ZPXk7vJ4vh7f38xNoQZ3RTZ25D9q6yQB8rDJ9e/14BvMrKWuvUuEcrS87swsR 1fVBxVPXEUc/Tz8eju8Hw9zw2toW3RPT1be8Mb+xXx+Xw+tocxolP49vv48+xDPnv/m8BpxSCJGv pE3KJ0u+7nuKbA/dItwj6ChDmHAnZL1DjrkaIM7KGWHbCmbrRoTbJF8vYOGkA8HVdXBZ9jUcRQpt 4xoC7dcRk+WtEdIv2jORuNHlGwV8XjQwbL3ZwLKUBpU+uZnRYDP6tTU3pJmnwkXBR7qOzhZ9Vzrz 9/Pjj6fzK9YT7RmrFF774PXLc9ZB5HF6/xGmdUYrKbwRgbVTDkr35Z/XsOP35/f8HmvC/TZPEm1b BbDetCREaF7WrPW6qAu/VYR6B/5vuscKFrLGskx2/q2pLAdPaNrBTugVoVTw/LT4zz9o0eoseU+X g2fNtWsW0eqi+5nL3DPpj3RUHC8HVaX55/FFPHrvWBRQlyKvM7lKRSfX1aYo3JmkS/167tp9z1VH CTI3YWZJU/iuVhDTbEcQIU9uWetFRZIFrNgTgFJ4en+oEI2MQLCk5LLaDfJNRleLe9dePq3xDdQL shvuPx9f+NpBl7Y0GhVaKfE+MYUXp8QIibJhMOtXADaHDwWSWhQJ3MmSyndd2HG0pDLqGgPqZoON s1fUkPq2E56WFWxgZ0hXamyGUV9Y4INq4k3S2UXvNkUt3Bgmm23ZWykuPhjEm2hLY7qVeo/+niGn x/74cjz1OYvueIjaheb+kvTS2a1TsQIXVXbfGbuqn6PlmQNPZ1MpqEnNcrNrI2Zs1mkm5q5lcmrA yqyS8YTXCTx1LazY3hjZgRuEgRO+XlhJ7OdUVkZczHcU71bTABFOKEy0IC79W2okplsRu8pXcEod N4S6DkCT7WDXI9m+Tq5OT7J/Lk/nU+t6HGiKgjckTZq/CKLY0RjXD5NLp2TvTcIpfI92xQRBCF/I aUj/zXsPUa9DL4TvbTVEsSLO7oXza8i6VeOqOp5NA8PKW6czGoZjy8RRE1o/sUOFcwxfvsIbKBjK jDPITWVZNWvdWFoRxGGKAmQIz9ayGpeLFvC6mddeU3CJqYbFWXHJklEkxrowvcdo8ry7LJFK0x0/ rov5OkeMZIQ6T+jR1lndJHAJApIv4PyVJUCzzrDyxX6NmBKmJBYvXtIK65NW/1aVaPB5qZFd0MRH B6bVZ4Iut9Rqp8bDjnY/yXqJAZTo+ROdeh2s9hVOBhaZm+6S+A/tdBdKa5I5mGw9ibDT3Vd5BlX4 FeTi+pa6hd0t8oVE2cnasRE/Y0E1VH9aeqDrNz2oLJWJvaWD+CaEtaGILKWRIugPYIHcqmePHasz 69PT4eXwfn49XNwtJN0XwSREovNJqulHRifYEdbmlHhmTDr+ezLu/Xa/STjrlA6iCjjVjSmYEh80 W01JYHuC4FOgSseQ/wFFMRwMyAQ7KtliX7B4FvlkgfSJHJJa1zEg+9wZ/44mHHi09C77uz1LoWhu d/vkrzvP8kRJk8A3XUZycXs6MX046AS7Y0ViZMet40nxJIScJHDKLAw956WXTnWymDluNa60fcKH F7Jd55TIN2vM6rs48Hw7YU60j8FWZWFPVjWBT48v52cR2+LH8fl4eXwRLtK4DHGx7n9JOh3PvCo0 5+vUn3nW72gcub85a+eCGd/xK8KPmIVFns325u9cGvoS25u11sMQJDiFUqMQSsLUR0FCmZELlaSL 0PQkEZZkni66nb/F2rdTsvUuKzZlxnlJnSW17WZVy4pwAau9E0CyvRDAaszFyWmv0Zqm3Em5/VSU ibDtRXPUD/mxPOvEn0yNwZQJZjxFmTAz3PsIUTAw3ZuIdwGRGbmYJmUwsT1GiSckRLjDFY/oozFa WxPHxU3xUgyuOM3WzXev3x1KD8n4rIM/K/3In9nDuybbaWwLhOLuG62jEmK5bAQXIcXTnRC6XT+T V8E1typwTd8h6TzZdp8jHmQuv1UbtJLdWbjfFVfM96VfoDkohyw4WbhjwalyEouoSsoL64CUpXoK 0WXrx9ELltKvgdAK1ZQvYHjEpCFSMo49UwoTaYxvHqGdpmJNWMO0W0TybbSRpI2P9u3kbLnwEMc1 efLi/Xy6jLLTD1uNyHfCKmMJce9z7eyNj/Wtw9sLP/JbXH1Fk4kfWnW7olSZj2+PT7yO4jkRtkUY Es+0d2hrby9v5qMy+nl4lTExlBcKO/e64OutXDUsW7MNpFNRiOz7RkMsuySaRfDbnITFDncm9+4k a9c8ZdOx7ZyMJWkw7k3KlsirkYsggw1bloEdotUkYZHpSxaMXVnJobKsygnkgnv3PdZeftshcPtW ufw4/mhdfvCJNUrOr6/nk6lbggGmWEaZ7m+m5SWlC+dg+c7LHMpWle3S1D0bK9uS+tXoEx3J0K4C TNPCmFL+6CnIZ+OjWjGw3BOOzZjo/HdgewTkKZMJbPvASeEsAGdqGlrv68TvWWTXPS03dZNabgHY RAVG7237KfimnkZ+YLrY41t06Nl7eBj79pYtDP6teaq4KvZmnxPCcGotH8UIU9cDQPsWfKjbu4nz 4/P19ZfWZbq8T2saZRgS+KLEzUD5WxaR3Q6np18j9ut0+Xn4OP5PuKZOU/ZnWRSty2VlZSFtFh4v 5/c/0+PH5f34n0/xcr1vSo3glBe+n48fhz8KDjv8GBXn89voN17O76O/u3p8GPUw8/7/ftl+d6OF 1qx//vV+/ng6vx1417XLs+OUSy+yzpjitz03F3vCfC41w2nu+ZKW22Ac9jiZvUalHAMf+iQJPPPl 9TLoPQdyZlq/qYrxHR5fLj8N7tSmvl9G1ePlMKLn0/Fi9QxZZBPlAvDaNLIPxt4YVAIqkm/yYDB7 g2jWSNXn8/X443j5ZQzTlb1Q34ke3vKJVW3vaKtUHHEg4yBO8ceeMdqrmvkmS1C/7dFf1VvfDoue T+FjqiD41hG01yD9dolzAOE1/vXw+PH5fng9cNnlk3eQNS9zZ17m13lpKBk2LJ6Oscl2R/eRcxTb NXlCJ37U/8YC8Ukc3ZzEBaNRyva9GazTwc2powVWQ67UWcrgGT7Qa8p//PH556W/wEn6lwhpa08R km73fLLCgggpAswjHSfxFQibDpIyZbMAXBySNLOVKYRNA9+DotXPV940NIee/zbVYgnfo7zYao9I CiDFDCdwigONwNkrCJGtrVmWPinHoFtMReJ9MR6bus57FvH1Q6wI862owgp/NvasaBo2zYd8MkuS Z/rg/YsRzzeVP1VZjUNnjeqM8RAodRWa7jyLHR/ziRlcl3M0zv9M/aNOMfR+6w3xAtvX86as+SSA xrXk1fbHgmh0Tu55ph9P8XtiK7qCwORYfJFsdznzQyDJXnB1woKJZ/FvmQRGSmv7q+a9bfn1lgmx NYNkEhLbWdCmYAmcMgkDo+lbFnqxb92d7pJ1MRmDS0iRAqurdxktojHy4FERkQeYuyLywPPRdz58 fJA8k4nbjEUZfjw+nw4XpVkEWM5dPJuaYrT4bSoT78azmc2QtMKakuUa5cucGHigF2tKkyD0JxZ/ 0RxV5iglCfhYpcedn43DeBLgxy+Nq2jgDWwd3wglK8L/Y6E7LK2xCNRzqk8/Xy7Ht5fDP9aRRB65 ttbRzgLqDfXp5XjqDYexdQB0CWgDjoz+GH3w8/oPLqOfDnbpMqJZtS1r40bG6WX1lEGbr9+4YlHo L2Kl3yoQpVsG11/vhycuf0k/34+n588X/vfb+eMoZHZIvpKse9KUboD0bhHczs2Sud/OF75BH8Gr otDD9tc09BHv/SnjKxa5OOAnuwm4/YkjntpyjASLC9Vl4YqtSAvA1vFOv9imZrSc9Z9qIzmrr9UB 6v3wIaQagJvMy3E0pkubXZTIJVax4lzPiAKZlszaP1alGSg3T0pPCPRGB5WFZ+r/1O/+GafgrAg2 e6AsjEC5RhAC40CuOZSMswynusXW4WQMbear0h9HFvJ7SbhABD817nX1VXw8ibjvAAPpE/Wgnf85 vgr5XqyLH8cPpfL7v8qebLmRHMf3/QpHPe1G1HRYsl22N6IeqExKma28nIck+yXDZaurFF0+wsfM 1H79AmQykwdI1zx0uwQgeYIgCIIAtbpQizkj1YIsjVktXBT7jXl/sJj5Qu9XqceNq17G5+enpMbW 1Es9oHuzuzQVix20T/8N5Bf25nxyTHqAbLKzk+x4N07XONDB4Rkc7F+ffuKbb7+9dfSmD1JKcb5/ eEYbBbmQhIQ7ZpizOtdCqeXZ7vL4ix4lSULMhHptDoowbfgSKNpLCFCzmQcFwp3kB4GYG/lmqW5N JRUet+ZNznufq4r1Ik3uovXV0d2Pw7MWYE2NXH2F9yqaBpP1SzPN05/iARlLw+EyYS+NsLTK582o 6KDCsBvLDZv5qWCxXURVFov6PKN/eoF6TE37penRMnw0qinJReOvBz6eAr2yNLbTnSqyfIekTct9 2gASFG1O5rqXr72wDfpBAl/f91VmTpN6bgPNisp8kRae+rKyLFZ4q4hBfyvPrBpEuSfETA7C3BlC pZfZHDcyXMWidW9E6luUDB8yVlE6N9IIiQA38GNw6zZuDAWOtYknkseA3zWzY08AcUEgnhacehJt SApeZ16OFgSB1wcGxXDXFSC0A9pZaLxMD6FF1IXVNkCynvvC8Qt0xorWE31sIJBW+gBFHiVV31Ss 3oUGNZD+YcLLSGA9q0NjizfbAXT4RbOkkSGRy8bjyz3RVL57Z0HyUQyrgUrcUXfNokqu/Y92JK03 uOCAFtcHIYJAAI6Bwk4RYWDHYD/uwguGsjBJ+lXWhVqJ4SpI9BDSQoW5+ij8lqKz42VJbS65Pmre v70K7/Fp8xsCw/aAnsSOBuzztEpBz04MF1hEqPsq9LEtW1phQ7qRAZHSS+WP1CeSza9ypPJ+HbFC ZniMOMZy9dLJIAyhdoh4G1OnQ3SXH5aEj0PRsdhLI1b5xQKJPKqwIupXu+y3yGZz9p/QnYiQ4x8Q s93qd8nEyCFtzwqWlX62sD4JDvbw/A3bS79lETwg4vuF2ymD8NnTpvZgFcwEh68nOF6G+AuPbtHM Zdh0T/wXUY6IssNaTyICRRFirqEjdmeNJTGE8ihr0OVauy8KbY87QdKACNMzoho4lm1KEyWcwEVY OzNTuhQmO9igvSJFiq5gx6UU/JDk/CMS1EZQRwyxncjLkRZFGZ5ypU6HKpR6Rb+pd3MMiBLi0YG0 BuXcW+2Ql+j8TLxeyDpQreuggJQ63AdMJ2noxSFmTzwRgGqhC12bp/b0KfyFSDweao6kjOD4KEvy bx471s8vihwUw5S6qzNocLjsNiEyNDF5Xp18TGDXblJghJJgb4Gg8ySOVfhd81EJSRwYJ/GGUSwr z0FF7EhCKUU3o5hTaSrFwq4iVg0L16yBVVVSFhxzfsAKpAwlSFZGPCvboQ5z8YujClW0UC3T6ur0 eHYZnAupg8Li8S9GQXLlibg5EdgryyZAEZ40ZEMR1RRV0y953pZWJiu6HPOUaiEF74abK6r0848a v4vjL7swL4t4fN4A+khSM0zhHixFuqry4iSs24z+qrH45Um1ZFAKWRvkc5M0KJZN0qhJgyqGSR3/ LnVQko9U7XXF/fJjsFrEVb9JY06f0zQ6scx/izLYOPXaqSMThRsUhFhtzqoNvlwKzsB4/vltKj83 jVTBTk3GqCTA4+hFiL7OsxPoAQxnSM0fSU8/Jk2T0+Pz8JlAXI/Js6+fIeR7scvTvprTIV2QSL6J C1UW5xezDwQCy7+cnRIbgkH05/l8xvttekNSiFeFkbRQeVUQOEdjigj/9OL7y5nPNCOVLDTtrDnP FwwYPPe8InRJQ90fUg2txDP9hX89TXTBio2kVaRJ0DyEa1/j8+jIDHQwoHL9aR/8GBJJTRZIAFmh tOR5f/+CUWDFncSD9E8zcotMmiQwSvQF1O7KDiCkGh0oaTSXMG2zhyE3HDPwt4oG1W/r1BPJXZLl jM52zx7vX54O99rNYRHXZWp4WAygfpEWMcYis4NPjF71sqjxFpFpXl7FJue59VNeVes1SbCwW6f0 5j1RlFHZ0vrI8CaWLztP9AdZiLK0cAzGFKpNEfrqk1QYUdHfJtQkP2pQgQuiiEtvRVLJWtrNNccU n8E0McsN25raMv1NGEnCvcQTsr+XQxOEOMYMNfSojtvJRwMi/aQDg6piKX1UECY+hWlcVR67Iia1 aaoQJwyPfPwViXhgH7Wj9g3JMLhonyg2NXPv2ZLt0dvL7Z24TXbFjRUfcYBK+dpqWbQUxJZ2I3zV 0pagkQB0l0BNfdWmRG0qJdvk4ur2ZqrLa1peeg5hLaesNXmXtWmV8Z2437G9hdz4vXmHz5VW55dz zSiDQIx0YGwNAHOTgLh+Rk7ItQqWTqVdiDZpaaQawd8iRoY3tkKTpbl1O6uNdQ3/LrgV+E+Do9j0 zu5IJIRM2YDYo/UKg5iIDjOQRWWHhE5bhFNUVHhCgmp+TmEa5Tnlo8KIDVecFhsYPfWqY3HsOT1M wSZb0AJAf2h9EeQkh1v1qFJKPU8i/pIn09iQzAIexZxOmC2wTRGTrGbFM5FPOA4/90dSD9JYe8PQ X6TlsILwnXGjBwhAUNmkwPuR9vaY7zDupR5dQEH6hYzobeZMxJSOmPFnTWc5W2K2tqi+rjA7jlH3 hoPick2A7DyOE2LRpbCyC1guq4Lh1JjZG2VaSM90CZwIh0NzBgt8fdWVHjMf69py2Zz25JlPInt9 LHGX6E3NJ7I2DjVzMkOe/nEJw5Cxaw+sr3mc1rg04U+YgGVbdg0NK7Os3BreyBMxanyU94BGkvOW RWU1ZuCLbu9+6LmqC45cM0VSNcGYXlOf5IhFCXcAI522F0iEkzRbe08p2iG19tf9+/3T0V+wOpzF IZ6964MpAGszKoGA4Z1lmxlndgRXGMYqL4u0JZ9cChqQJllcc43317wu9FqVLqzkV145P6mFKhE7 1rbabLM6StSIN33SrXibLUx+G4GU5OL5Mu6jmoPIsApN8D13ukJbuuz4hJd/FKePFfFlumF1b9tp 1SHInRhdDjcyWazMrko1tdAfDcAPFbf266fD69PFxdnlP2afdHRUxlzM16lwKpz0Lx13fkJ7Q5hE ZMJEg+RCf5BhYebe2i/OfqPgc1/B5nsRC0d5jlkkc2/BJ17MqRdz5sV88WIuvR24PKHiqpgkZ/7+ X3r8Ik2iUypAitnEc6vDaVMiq/UXnj7N5l5GANTMRInsu3T5M7trCkHZynX8CV2epxtnNPgLDT6n wZeeLpz4+jCjQ+4bJL6FsS7Ti742axSwzoRhwnA44LHCboRIOM5Bq6AuwyYC0Pa6unTLBHWRtSkr CMx1nWaWO53CrRjPghWuas7XbpkptFTGD7QRRZe2VE2iz9C+QF2gR61TPeEyIrp2qfE0HNuRbx1A X2C4wiy9Ya14rD9k2tbPe4ZaKl+y7+/eX9DL10kRjmnC9E7gb1BarjqOmjJu+tQmy+smhU2iaJG+ Bi1U3zxrvMmNnZIHlXTAkOwHiD5OQNvlNXMyO6qdm0ed1Fhz3gjnIyf8uiIht1uRUjdhdcwLaEon 0k1X16CegT7NrCA6DhmtxsK+j3puU3a1J4okKlTicp3XOcxhwrOKDMKp4sBPndSf22dN/vUTvvO+ f/rX4+dftw+3n38+3d4/Hx4/v97+tYdyDvefD49v++8415+/Pf/1SU7/ev/yuP959OP25X4vXOQn NhiC5D48vfw6Ojwe8PXm4f9uh9flSteIhCaCqnWP2kUKyheoIy2cL7VFSFLd8No4zQsgulKtgY/J SMsaBcyJVg1VBlJgFZ7zB9Chew5O7Ti0ZCZ0RboEGaBR6ovKM0YK7R/iMWCEvQbHgcNlUY4K/cuv 57eno7unl/3R08vRj/3PZzPkgCQHTa2i2HvAsmxlJFgwwHMXzllMAl3SZh2lVaKfaS2E+0li5JbX gC5pXawoGEk4ap9Ow70tYb7Gr6vKpV7r5iNVAjqFuKQg8dmKKHeAm5nLDRScHBuRsgKleGBGFTnf tbW8XWic2lbL2fwi7zIHUXQZDXR7Iv4QzNC1CUhwoh/kRUf1/u3n4e4ff+9/Hd0Jhv7+cvv845cm U4ZpbJhTVewyC48iAhYnRHMA3DD/MPKojkWd9ndN7smNOAxLV2/4/MxKRCsvdd7ffuBbsbvbt/39 EX8UHcZHd/86vP04Yq+vT3cHgYpv326dEYii3J1HAhYlsBmz+XFVZtf2g+Zxwa7SZjan8+KobvKr dBManoSBMNwoabQQYUUenu51G4Nq0YJih2hJeV4pZFtTn7S0OjC2KVBiVm+doSqXCwdW0a3dhZYc qCMYuN1dOIk2CdYUxKD4tZ07fRwjPqtRTW5ff/gGNWcuqycUcEf3aJMz9x41Pnzfv765ldXRydwt WYCpwdqh0PaP1yJjaz5fEF9KTGCoocp2dhynS3ctkLuHdwLy+JSAUaslT4HXhSMnGYNxkE95bMT4 UKsoYTMKOD/7QoHPZsQ+mrATF5gTsBaUkkXp7ovbSpYrlYPD8w/jgmWUCe42AbC+dZWDRVZulykx 2AoxRQ50VjDLORy8AnI3YniesCIPajhqhhBO2SDUPmGaopVeJP4GGjLIUWoL4HVFRzgfp8dlrnZb koM2wKc+y2l6enjGt62mfq36s8wMG6AScTelA7s4dTkquzklOgXQJMDgN43Y7OVDz9vH+6eHo+L9 4dv+RcWSUnGmLBYqmrSPqpq+jBr6Uy9EQMzOaanADELNLlniLDlDElnZ2VwKp94/UzxMcHTzqa4d LFaK+TxsVfzn4dvLLaj+L0/vb4dHQmZn6WJYZ87gA+ZD2YdEkivVmxV3akcSTyW0euLSxYQ4QLiS p6CQpTf86yxEEmpkQDuZ+jApMeHGegSqQOUUrydbokDWXOc5RyOBsC+gG+NUpIasukU20DTdYiCb Lp0mwrbKdSqiyt3Z8WUfcTQLpBHeBNrXgNU6ai76qk43iMXCKIpzdLlo0HBJY1Hzxo8N20e6QoNF xeUlIV7iiTak5rlX8jdGa/pL6K2vIvv26+H7o3zCfPdjf/c3HGMnXpe3Arp1B+0+U5NcfPP10yet YRIvjy/a2ND2Eg7/iFl9bddHGYRkwbDMonWWNq23aROFWOn4L6qFNd+UcsAECX3b9Rsjp2pfpAV2 BCa7aJdKtGRemZKlBUawrVmxMkUKvrelR2CRgoqAOTU1xlav30B7KKLqul/WwgVbZyKdJOOFwk6L qqxjUjeCruQcjo/5AuqcypM2O5a5NVSRyC9oqtIRHH1AHhug2ReTwtUJoz5tu9786mRu/dStoiYc VjhfXF+YskPD0GbxgYTVWx/DSopFSisP0RdDb4jMX5pNH0Sbq5NHmlVYquB684FR4jLX+ky0ALQF 8ZjFDOOB0Ji78BsUsLAPmsrIjdw+LCjoJkTJCKVKBl2EpD6l2wGqCUEuwBT97gbB+thISL+7oKNC DGjht1pRjD4QpEyfvwHI6pyCtQksCweBj1YiB7qI/nRgJtdO3ewXN6lud9Iw2Y2eIMNAlB74KQkf dEFr8eqW8QElXIs2LOvxaKJvppieEKTABhOw1kxTsdAynJaGU6oE4aV5b0gGhBspPwoMuI8uteik jZZ0rUoEQw8yVmNuq4QPrwQ1bGQMDgAqXoPoUgh5PN7/dfv+8w1jlbwdvr8/vb8ePUhz7+3L/vYI 45b+r6b1Yc5X0JKwJLylwnv52bEmCxS+wdPl4rol3ykZVFpJv3wFeaIXmESMch9BEpaBYpDj6Fzo g8HwtZXp+mOA+8YIaqRmYcGLCPT3ek3tx6tM8ozGSllpWAXwd0hejazXlnA6N4RndtO3zCgMA2WA PkmFnM6rFKSWIV6XscYf6GZdo9GsrTVe7aJmLpL66jqEdPLAS4cty9bmvozpw8i5KRd/shXtL+Mo AHbf07LmxrpQCHHaaJIsTk+8yNqLzELILsqrWL8e0JExl87gjZjdLY/1hV/M8H6vjCfvz/FCROmR Avr8cnh8+1sGG3rYv353LySFniSzpRujLMERsxNDKq7DqQHVMuLCYy3uU92GLfN29lm5ykBRysab g3MvxVWX8vbr6chJgyLulHA6NXFRlq1qZ8wzRt8WxtcFw5SQhCsVRRFIL3CdL0o8sfC6hg/opHRY AvwHyuGibIzEpd6ZGO0Uh5/7f7wdHgaV9lWQ3kn4iztvyxra0G9ZXYAwnGvDgiupAhbBBwikV1HC WYzpktICJlG/p4BTgFDD87TJWQvrD0vvyyIzTjyyk8sSJGi/7Ar5iRB3vZW6XF/KW1a0Q5urUuxn psObjiGHf5ODpo6+yeSDF71RW87WIhdUVHX6DPz2GP+Xng19WFfx/tv79+940Zg+vr69vGOoXd29 mq1kCvj6ahpPDThecvICL5++Hv97pnmCaXTecP5DDxtiKgYJgf8PfCguvgRdjs7LgXI8N8XiJl9M 5noVa1LehPdXO0wHVq01uW/SCyrrQm2C4bUwrmwSJ5b8sFV82syWs+Nj7UApCNexlwdR0+kWDcMn 7UXa4iZu8L/AaVIs0r5YYIrwxoMUytdEMjZI/5Ro1NCWJF227ldxuvFftUuSrqg52ncWGTVdkga2 ROHJjlYms6M4mHbngT31uxRysMb19FsrxORCdAvVk0BJKHpCqm1suPYfC9M2KtwP+K7FvBm6UVuW gVilBVl8PaKGxafWIjmyopZyW5CbnkCCkGrKwlBWpnpAvVna8LqMWcusk8bIkJJmu3PbvaV0y/GI 38adCNk3tVxA1JM5eqcT5UqWCFE0GaMWkVjow0SCapKBnHVbrTCh4oUvSYcbPKVZRAkmXhc0vIAT acKjtXfgNnlfrVohU61h3+QuRNzWmT7YI6peuJ0RpcMRfEUtX38D7Damddsxh+09YJk7VLjIOOJm zXBBugZhid2WNVqsQH5PSzaOh0O77VgzrTBnehIrON1wZgP6o/Lp+fXzEaameH+Wu2dy+/jdiOtZ MYxrAlK8LEmPGQOPjzc62A5NJCqjZdd+1Q55Tbls8QVGV43p1zwchsg+wTfoLWuoA9P2CrQRUG/i 0ni1Fe6gdOsDreH+HVUFXT5NbRSc6yiaBna479Bhk/e/8lwiqjF5BAdozXklpZC0cKLjwCSD//v1 +fCIzgTQm4f3t/2/9/CP/dvdH3/88T+a8RMfu4giV8g40zMG/Q3Ahnz7MlKIMrAP3iWCFoeu5Tv9 LmRgNegBfu+sAZp8u5UYEFDltmJt4q7YetvQvvQSLRprnZYRFvPKAaB5sfk6O7PBwmWjGbBfbKwU XMPJSJBchkiEaVzSnToVpXXUZayGwxHvVGlzt0Oy8dZAyLM8jBT3vBObvsepRwuEshBQwycGDhYd vkiytrJpVhwrcBMt7Y+mE/l/wLBmn0E8CZms1TOeRrVm4eEFHRa7ouE8hrUnTbc2U63lfjjZplAM /C11mvvbt9sjVGbu8K7BEHPD8Dk3FqZKYONN7l+50yZeaKVwOiJLFds36IaoT8BBFV8bpnZESEOc efph1xrVMEBFCyePxhH8wIOUOkbzAgagEpnpCLj/C1Ca/F/VVmJ3BPKrJvA2ymyxJUKuhlNirc6H A7ooK1mXZncVCg++i0I2EkhxQjWcr/ELtAP2FvvJ5R2Z0g0PLk6+Y5FXWNAbSiX8gUUFqvs2xbO4 3TatqOHY1mx185VTntIc7YIGQvcN29LqER6+cOPRitaNgrBDL4fCafuJ2P8CBMk2Y22IoGwK0L15 iEQ8m/2gGNkvNa+UsBtmtSlY1ST6UdRCKCsDMfQgrkHcYKTgulxiiA8zWL2O486BW999BQErQC4w vJeVX9KRuBQxMKsic6fZxQyNsfmig/IWXHKnvhMP1jIbTlM310WbTNBpnsQQSc5PC5S/9HSOa442 gU9CQVsNYUpVM8uEZR1HjBhLxSPOjqYQLQNhVk2bmrOWTRqiCr3JvuJ0mvGZs1iDMc9AvSWv58cR xyXvFNkwDH/rivmXw+vdPw1Br5uV2/3rG+7SqBBHT//cv9x+3+u74borUnoK1YaGZtOyHibb2bTU 6AobGUljH63WUblxTkBw7gHwMP6VYQtAemoWukLKNBgmHOzBf2rSbtdxSwe1EN4geVqgPZXWsARF nG6+nBIVL0b7OTKZO/MLvOtzeGfC4yVdU2YlxvD1cJhxbejUoC57QhdDogcJ39m2BmmC+/DLgUw+ vzHX/4BuooqKJCo9bQDfllqUHQEd/TqssiJWLH0lgeZsXO0IYNeZcYAEcCdMeb5y8F34Uj4n18E1 KvGWCUCOnOU7IICwiCmBkxYYgkiTc1ZZy7TOQaW1qxhfbRtdE9chFtA2OliMzPMItk3Ktj7MlXCH 0W0S6jsCKt71oD1M2wrEysXQAPCJKVMngP28hxQ7U8uFip+nTYNcFpdRhxeutOYsTwOLVIoh+rm2 dYX2/3jMC0Wm8AEA --===============3094678175338293896==--