From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.3 required=3.0 tests=BAYES_00,DKIM_SIGNED, DKIM_VALID,HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI, MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS,USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id B2A1CC47082 for ; Mon, 7 Jun 2021 05:24:45 +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 492676121E for ; Mon, 7 Jun 2021 05:24:43 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.3.2 mail.kernel.org 492676121E 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-devel-bounces@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 C63FE83E; Mon, 7 Jun 2021 07:23:51 +0200 (CEST) DKIM-Filter: OpenDKIM Filter v2.11.0 alsa0.perex.cz C63FE83E DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/simple; d=alsa-project.org; s=default; t=1623043481; bh=RCpM/F6ewIg5R+6UVkjNapGkbCTjOInyocLdN9ro48s=; h=Date:From:To:Subject:References:In-Reply-To:Cc:List-Id: List-Unsubscribe:List-Archive:List-Post:List-Help:List-Subscribe: From; b=QfJeTe+LH8Mv2SBm7665oJI4aN9FO/5D+2gic8pSxfYJUf+GgkkAna8SRTBMtSl27 NlJRW7NhWTkP5pnIcbcW1V5rdzAjlwEUjbV7C7Y1NtQTrXHF0nMSgXW7EhAIRdISO6 rGXCIXl81E/fzeW1dDpHVtTxoMS70IveDUlQPEw0= Received: from alsa1.perex.cz (localhost.localdomain [127.0.0.1]) by alsa1.perex.cz (Postfix) with ESMTP id 38169F801EC; Mon, 7 Jun 2021 07:23:51 +0200 (CEST) Received: by alsa1.perex.cz (Postfix, from userid 50401) id 487B1F80212; Mon, 7 Jun 2021 07:23:49 +0200 (CEST) Received: from mga17.intel.com (mga17.intel.com [192.55.52.151]) (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 4F2E9F801EC for ; Mon, 7 Jun 2021 07:23:36 +0200 (CEST) DKIM-Filter: OpenDKIM Filter v2.11.0 alsa1.perex.cz 4F2E9F801EC IronPort-SDR: lEffuTFDHQxWrzfeijjfrjp68dVXMU9qXN2A5P7WaBGkXaZCTlXdPvmUAbcz8avwRjNFEFRuRC WSifNkM3fdKA== X-IronPort-AV: E=McAfee;i="6200,9189,10007"; a="184934245" X-IronPort-AV: E=Sophos;i="5.83,254,1616482800"; d="gz'50?scan'50,208,50";a="184934245" Received: from orsmga003.jf.intel.com ([10.7.209.27]) by fmsmga107.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 06 Jun 2021 22:23:32 -0700 IronPort-SDR: /RfgghRdF3kuRoTK/cJL7Ph9EK/k+Gc6H3ZfUULbTRsmxHhUCmcwpk4LfxlplRgl4MZocDyhds zB4wfrwv4sxw== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.83,254,1616482800"; d="gz'50?scan'50,208,50";a="401580054" Received: from lkp-server02.sh.intel.com (HELO 1ec8406c5392) ([10.239.97.151]) by orsmga003.jf.intel.com with ESMTP; 06 Jun 2021 22:23:29 -0700 Received: from kbuild by 1ec8406c5392 with local (Exim 4.92) (envelope-from ) id 1lq7jV-0008C9-1X; Mon, 07 Jun 2021 05:23:29 +0000 Date: Mon, 7 Jun 2021 13:23:25 +0800 From: kernel test robot To: "Geoffrey D. Bennett" , alsa-devel@alsa-project.org, Takashi Iwai Subject: Re: [PATCH 1/2] ALSA: usb-audio: scarlett2: Read mixer volumes at init time Message-ID: <202106071344.mIPQV62F-lkp@intel.com> References: <68f57d71862e1c858e48dd6c0a6c68342ac53fc9.1622974661.git.g@b4.vu> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="SLDf9lqlvOQaIe6s" Content-Disposition: inline In-Reply-To: <68f57d71862e1c858e48dd6c0a6c68342ac53fc9.1622974661.git.g@b4.vu> User-Agent: Mutt/1.10.1 (2018-07-13) Cc: Daniel Sales , Markus Schroetter , kbuild-all@lists.01.org, Vladimir Sadovnikov , Alex Fellows 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" --SLDf9lqlvOQaIe6s Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi "Geoffrey, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on v5.13-rc4] [also build test WARNING on next-20210604] [cannot apply to sound/for-next] [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/Geoffrey-D-Bennett/ALSA-usb-audio-scarlett2-Read-all-configuration-at-init-time/20210606-222037 base: 8124c8a6b35386f73523d27eacb71b5364a68c4c config: xtensa-randconfig-s032-20210607 (attached as .config) compiler: xtensa-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.3-341-g8af24329-dirty # https://github.com/0day-ci/linux/commit/4cd436ec424b3564c2dcf9b3b8fd83c8894051f1 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Geoffrey-D-Bennett/ALSA-usb-audio-scarlett2-Read-all-configuration-at-init-time/20210606-222037 git checkout 4cd436ec424b3564c2dcf9b3b8fd83c8894051f1 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' W=1 ARCH=xtensa If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) >> sound/usb/mixer_scarlett_gen2.c:809:21: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __le16 [usertype] mix_num @@ got int mix_num @@ sound/usb/mixer_scarlett_gen2.c:809:21: sparse: expected restricted __le16 [usertype] mix_num sound/usb/mixer_scarlett_gen2.c:809:21: sparse: got int mix_num >> sound/usb/mixer_scarlett_gen2.c:810:19: sparse: sparse: incorrect type in assignment (different base types) @@ expected restricted __le16 [usertype] count @@ got int num_mixer_in @@ sound/usb/mixer_scarlett_gen2.c:810:19: sparse: expected restricted __le16 [usertype] count sound/usb/mixer_scarlett_gen2.c:810:19: sparse: got int num_mixer_in vim +809 sound/usb/mixer_scarlett_gen2.c 788 789 /* Send a USB message to get the volumes for all inputs of one mix 790 * and put the values into private->mix[] 791 */ 792 static int scarlett2_usb_get_mix(struct usb_mixer_interface *mixer, 793 int mix_num) 794 { 795 struct scarlett2_mixer_data *private = mixer->private_data; 796 const struct scarlett2_device_info *info = private->info; 797 798 int num_mixer_in = 799 info->ports[SCARLETT2_PORT_TYPE_MIX].num[SCARLETT2_PORT_OUT]; 800 int err, i, j, k; 801 802 struct { 803 __le16 mix_num; 804 __le16 count; 805 } __packed req; 806 807 __le16 data[SCARLETT2_INPUT_MIX_MAX]; 808 > 809 req.mix_num = mix_num; > 810 req.count = num_mixer_in; 811 812 err = scarlett2_usb(mixer, SCARLETT2_USB_GET_MIX, 813 &req, sizeof(req), 814 data, num_mixer_in * sizeof(u16)); 815 if (err < 0) 816 return err; 817 818 for (i = 0, j = mix_num * num_mixer_in; i < num_mixer_in; i++, j++) { 819 u16 mixer_value = le16_to_cpu(data[i]); 820 821 for (k = 0; k < SCARLETT2_MIXER_VALUE_COUNT; k++) 822 if (scarlett2_mixer_values[k] >= mixer_value) 823 break; 824 if (k == SCARLETT2_MIXER_VALUE_COUNT) 825 k = SCARLETT2_MIXER_MAX_VALUE; 826 private->mix[j] = k; 827 } 828 829 return 0; 830 } 831 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --SLDf9lqlvOQaIe6s Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICCSlvWAAAy5jb25maWcAnDvbjtu4ku/zFUYGWMwAm4kvfcWiH2iKshlLoiJSvvSL4HQ7 GeN02722e2by91tF6kJKtDPYg3Ny2lXFYrFYrBupX3/5tUfeT/vX9Wn7tH55+dH7vtltDuvT 5rn3bfuy+Z9eIHqJUD0WcPUHEEfb3fs/n/45bXbHde/6j8Hoj/7Hw9NVb7Y57DYvPbrffdt+ fwcG2/3ul19/oSIJ+aSgtJizTHKRFIot1cMHw+DjC3L7+P3pqffbhNLfe/d/AL8P1iguC0A8 /KhAk4bTw31/1O/XtBFJJjWqBhOpWSR5wwJAFdlwdNVwiAIkHYdBQwogP6mF6FvSToE3kXEx EUo0XCwETyKesAbFsy/FQmSzBjLOeRQoHrNCkXHECikyBVhQ5a+9id6al95xc3p/a5Q7zsSM JQXoVsapxTvhqmDJvCAZSMxjrh5GQ+BSSSXilMMEiknV2x57u/0JGddLFJRE1Ro/fGjG2YiC 5Ep4ButFFJJECoeWwICFJI+UlssDngqpEhKzhw+/7fa7ze/WlHIl5zyl9kQ1bkEUnRZfcpYz jyA0E1IWMYtFtiqIUoROQUH14FyyiI8946ZkzkBvwJnkYPggACw6qvYBdq13fP96/HE8bV6b fZiwhGWc6k2VU7FwtzkQMeGJC5M89hEVU84ynH1lC2uzD9g4n4TS1chm99zbf2tJ1xaOwv7N 2JwlSlbLUdvXzeHoW5HidAZ2xWA1qhF0+likwEsEnNryJQIxPIiYd6M02qdqPpkWGZMFGn0m NcdyJR3BtLjjNHRkrWcARFHulFcx7sBmXJoxFqcKJEx8NlSh5yLKE0UyZ1NK5IVhVMCoStU0 zT+p9fE/vRMsrbcGuY6n9enYWz897d93p+3ue0v5MKAgVPPgycQ1Fu0lHGSjChmAAIIysH6g UN4dSSX36ulfCKkXk9G8J31Gk6wKwDXCwo+CLcFmLCOSDoUe0wIROZN6aGm6HlQHlAfMB1cZ oZcRYIEkKOKxbX7u+mrNz8wf1l7M6i0X1AZPgSea9Gv7EEo6ZYE5ipVlyKc/N8/vL5tD79tm fXo/bI4aXIriwdYubpKJPJX27oO/oxOfN9SkZvZGzpDwrPBiaAjxkCTBggfK8ZuZsgecnynl gbTYGWAWxKQDDOG0PLLMnqTEBGzOqde3GzxYK1q4Z2TMJT0/TrvQRg4MPTIFa7AEzpUsEkez EDAyAPmOOw8MbTXLlNFZKnii0LkpkVlR32w/xk4tioVYSVB5wMB3UKL0VthB0MEV86FHjIxF ZGVlE9EMFahjbmbtrP5NYmAoRZ5R5kT4LCgmjzz1+gzAjQE3PIeMHmPiEysolo+WQ0BC4VgU Qq78Ix+lcjQxFgLdKv7t215aiBRcI39kRSgyDFXwfzFJKHNspEUm4Q8Pt7bbiiFV4WgFztZM mIrBn/ijj7N/HorqGE7hpEWOjKmQfFnGRb8Hz8C+Zl4UGLcXzqIQdJf51jomEnSR6zynpg9z SNj9nFLhXYjkk4REobNleg1h4OeDyUjo8yJyCp7MZkO4L9vkosizVgAkwZzDakp1+7UHzMck yyDX8jCd4bBVbJ3oClKYTLAN1drD46f4nLV9hk5xvWucUTtnB4lYENg+WGeiaMNFnbRVm49A YF7MY5DBjjwpHfSvqsBSFmbp5vBtf3hd7542PfbXZgfxnEBsoRjRIcmy8yhrNm9+8C85Ngzn sWFncqGWMVvlCFFQy1i1kIzI2DlnUT72n61InEOQMexzNmFVnXGeDENQxCX4aziIIv4XhFOS BRDR/WYtp3kYQn2VEphcbxCBKOCz8pVULC4CoggWlTzkQIlVV7OfmQh55OR/OnHR4cXJmN0K sSJeKpZIK+ZWach0wSD5djL7h4FV5UJ6AvGmkHmaCid3gzpqZlKnDs6AIT0NIzKRXXwc5y3j NtIVk5SL0dA+WJJARTslgVgUIgwlUw/9f242UIb3rbIf8uMxHpwk4CSpbD497J82x+P+0Dv9 eDMprJNVOXop5iSDsaoIZejZnhZRQIejoWOVHoKRv1ZtUdIc8oL451Oaqvj5CSb++qFFk4Or BX8L6UAZlOqkDuyz9H7N/jde3UbLlMO/GZuATfsPp057yJgXSN/vJESIuXS83OFQUEarn06C Rj9mtm1f2tSWVoADH2eQJRW0Kr8q0wXDJxFmD1JEVkqWgt/GNKE0SZ7WpvSyPqGb6+3fsKXl s596LJf+QNOmW6ohmPD5jbcIw3RCPFImGR4x2TSf6vK+XnngZoI0DrD1hMlT1IE+fHiCpe1f Ng+n0w/Z/+/RHZyy3mG/Pz18et789emwfv1gbRMcR7dhBeVbEaixL5lMSSb1rAr+In5rx0UW EbWiXgMzcZUEQQanv//cf7JPv0V2N+YKS12oeFuR73Xzuj/86L2sf+zfT02ZCntczFiWMDuY 69/FnGcqByvBWZFf/59nmHRkTVwSRgKKRg9V58QzCr5fQtqt258XjnxJKBlqS1kGWmEqTZT/ sVejI8gZfNVlg5wH3XemfDyMDDPJtJuGAsPy1BAoTDJWeRABO13EZFk8ioQJCITZw2Bgndb2 uTGnaf831LCQM6y/b14hZfCdqjT2Zh1nhzqt0fXh6c/tafOEbuHj8+YNBrvTVIafETnVibDt GzAGtKKTbgLqoDYVYtZCQiWLrkTxSS5ya6QehD1fJEC2eUKJW1trEogkYLUQ3ArVwizQ8fOU luenasR6ZJOMYu50AVVA8qBaFYvBnOt86gAPDlhpo2sFfhveMHQw8DMTia86i5TQfbaWuP52 VpUyiCCPmNSeB8sXTLItnzgxjfIIUsxIPgwdvmwJ+lVTbO5YTi8S6AhB4AUkcE59X2ahZl9Q IH9nfGbns7W/mVAx//h1fdw89/5jXM/bYf9t+2K6ek0fF8hKB+I19Its2oneT+y9rqLh5GMh Z3c3tGOVWDs0YaRUdVv35WlHd+f0mQwyTxDh0RTgS8OVnmEyo/U1wpmauaLk/lq2ROOmoQc+ 18Btk2FzwyNPjV8+/qvZsC1xfjbM+BfYgpJgy013qeAx5sOuhnWqAyddTR8+fDp+3e4+ve6f YdO/bqxAqjIeg6rhEATgoqHiPDs3tjUZ7paY5c5Cx2i6nmFEJgOr65WYWyrMCxO9uXTW8k54 EvWVS6CJkKLt/SySbNEiaJp9+lywfzZP76f115eNvnLs6ary5MSEMU/CWOHp9/UtDFLSjKfq 4bUz6lwfEJx/kMepnWOeE0XLEptEIvZFr2plkKC5YRIAYJcB05E3JpafLm+lOCSirXpPphG4 n1RpTwMVjny4arkoigN8XUgsNjOGJua6UD7JWpOYuFW0WgeY+hTgo8d2OMNkIBEKKlM3isyk L5+rUw1YLUycmJTkqn9/U/daGVhFCtk+Vm8zp8NDI0ZMrPTtmNM4htBa9XCb4RUw9PYYMBpj G87lQiA8yIfbCvSYOiny4zi3YsfjKBRRYBvZozTtF6/PwNswsymYQsx44ndkoAtUBQTRdsul ihl5eu6idoZq1peytiGft1XrRo45/LSNB5u/tk+bXnDY/mW6QnY0TSm3m0zc6VVSrs0ODMdn l4AlMo2d4RpSmUubl8alYgERAqb2a80hw1bDvyJu+sFnBIWTF7fEKWL3rszCfMl5Zjs3hHXs EoFS5b6rZkQR1WLAKOmIwMX8zPA0c/cFLE7yoK1RPNOFyhMs33xutKY5syMaJ0l4Xr+a4ox+ fYQsG+I/viwUysUo7xiZBQbfQX1bYpPIaUrrOh6oocg9HfYveI32XBu4o+NQwb8Db22OaHyj gA44Bkf62kFU95Sv1VE6br/vFuvDRk9O9/CHfH972x9O9tXeJTITdvZfQdbtC6I3Z9lcoDKL XENi+LQx6EYReLte8bI3iJKAmRsTD1Qvt2MeFRKbFJrijBI/3w4HLmMDarhW99A/FbmuDf2b W2882z2/7be7U3u7WRLoHqq/4LQH1qyOf29PT3/6Tck+7Av4L1d0CgWR08S6yKKOSsvIjcAI wLzCijslqMjIQpskSYIzl0SUQpnjv7AjKQ/cO5Wmmt4+lWGgJ7pFem4KoCmLUvcA1xQBm6s4 bb9RacrFJCBRK1+3X1Vo9iHPYqjRmHlQ1BEz3B5e/8aD87IHUzlYadhC1yqQrdSnlC0hAtcM nRZVTW1akBfW1FBWVYDXctpyVTLooh6vY53Us8qadcFgY8+oFUJLEWR8flbvmoDNQTxvdoZo zCVKJpAuxmJuHUiNI3KV0IrCtGJrVWZs4iSy5nfBh7RNU8iIx2jIHXga8w4wjrnocs2+dGAS yu5gwbOOTA2miMdfulhKxw1Q92amYAwBmFcY2t1zRIXamenOT+eGpXs0zMuk92PvWSdQljeI p7xwVFAC2g8QKjB6jyaSNI+XLN5WXphIbx2orJQVfug9lVVgSteH0xbF7r2tD0fHdSEtyW6x 6+TUqACuGsgelAhL6KsNBcXqm/oLqAB2CvtFK1OaPnwcnGWgbzr0JRprrc0lw1YPXjA4Trez YK2HHP6EuInvaszVpTqsd8cX/XS1F61/tPIDvVKRntG3np5jiQX2FBOpmvo2I/GnTMSfwpf1 Edz+n9u3bszQGg65u7LPLGC0dfgQDuZhXY+4HPDmW79sEN5nKkiFR2FMklmh3/UUA3fSFnZ4 EXvVshGYnw88sKEHligW4VvgDobEQevFR4WBsOF7XVKhc8Wjlm2QuGV5Im4zJmPJzqQAF3bO pGbrt7ft7nsFxHaBoVo/4VVVa3shZMCCUYUpFIKtM5ROVxK96qsHWLYlvQPqbv6d28y3SSJm PVO2EbiT5nHX0Ie2r3lsOLbtCOia+dETBlU/P4NLuTANgdYu+LN5xGhDKeZZkYispR7INM0O N2nwT3bEvLXbvHz7iOnXervbPPeAVelafWWBniim19cDf1cQ0DJq3Wy5g6f+ey99nFSQkdhR FfwulFAk0k+SnL5JiWWZ7twidjC8K4uN7fE/H8XuI8W1dop4R55A0MnIa+4/14vmlUDu5po2 QlqXKdpbJgwxXqB56rAqFhlX/mHdd582Esq8tglVqOESvePkvNYxZS4FMw56/fcniAxryMVf 9Op638yBb2oOz3qh2iFRy8wtRLt2baMDX33UKBPqbDvbrxHxkvtbTTUFHrFLrKtLZI/knaqv xpAMn2N4JTLnM5rEnfw83h6fXMXJuCqfu1PgP86D+BoDRiCmfl1yORMJnbqvFU1XmVKw6+9g yd0Stx7PKPXMB1As4KYEMlL3WdkZEliXr8Pcph6XXx9UzWaPhBVOnzG9jigFb9n7L/P/Qygg 4+pG25tEaDLXTX7hSSjqJL6e4ueMbSb5uGXqACgWkb5ck1PsibY8lSYYs3H56cmw38bhGxS3 IV4iJlHOxtxdw3QFNZlTEgfK2jodqepdgnw0T7g60zAFLHbl8Y7EZlAwkkUrP2omxp8dQLBK SMwdAep3ADbMqV4EXl1ChTnHDNG+JDAIEc3dWaEqy5w3HJBi6sdU1iksQQVZ3t3d3t/4q+mS BoKF74VthU4wh677Zck8Zr4+kwOvT3m37IGcSuJ7hYjLUTTvD4NmP0lwPbxeFkEqlBfoVpJQ Cccrrcim4zaFQlpYmZ3iYWzij6UaDbxdLv1xm1N5PxrKq/7AoxJwgpGQOZSRuF3ceRQ+hZo0 EvZEJA3k/V1/SCJfxs1lNLzv90eNtAYy7DeQSlkKMNfXfZt5hRpPB7e3fX8zpSTRctz3lx4h pjG9GV0PLa3Kwc3d0JnIHy+DRbHUD0uwx9dqUpfdM11dNqglPlVcFjIImbWNeAlXQIG2bEBT Ljn8M2OrIpdjq9k1TK2P3hgDzxV3fbiBF0QNr6wujwFGbELoqgOOyfLm7va6A78f0eVNM38J hby4uLufpsyWucQxNuj3r2xv2hKzXsv4dtBvpUYG1ir/LWBBpMxjU8JVWlCbf9bHHt8dT4f3 V/3W9vjn+gBJ2glrVpyy94KB5BkO4/YN/7QP7f9jtO8clwdTcyYvp81h3cP3V71vVb/ref/3 DntevVddVfd+O2z+9317gPIaRv7e7B3B9ygES5c0snRLp1b/RxsMiSg+4bfvnWpD0mA7IakR YE3ely1Q7pCCWJElnacksd14CTCtKNvNlvBWldKUHbYPNDUGlbzKnju2i0i8rLezAd+Aij7M 3dc/5rd+fSUnpgqwHuxrXCQmk9Z1o/l2kTHWG4zur3q/hbAzC/jf710BQ54xt8FWQQoxpdwD ToRc2efh4jxGkt3b++msiniS5pZT0T/hXAdWJ8nAwhCDaeREXoOR+u3UzMkxDCaGupEvS0zd C3rBJ6VbfLz+be3EsnKQwLcXbN4WoIIXqST5sjNVhZUUsoqkWD4M+sOryzSrh9ubO5fks1h5 pmZzA2yiWgluff1h6fvcBa8ZCb54LIj9pVAFgQBteXMLml5f392dxdzb0jU4NRt7P4aoCL6o Qf+67+GKiFs/Yji48SGwaznDTuPN3bVXmGj2E2GwoPIoRLcy8BsY5lOXouTmanDjnRFwd1eD u0tzGgt1HlvU8sZ3o+Ho0mCkGI28U4PLuB1d31+cmkqPGuM0GwwHXp4JWyj3NUqXRqSQU4nW lUSXTJJY5t6Hgw2JEguyICuPjDAUttKzGQJO+pVngIqHhRI5nQLEg14qPztK0sFgufSMGNPY pzs1K9K47Od3T74/P62OvcTvgH15pSbQbx/tzy/0b4yABaGMuu/1bCRPFfOxtWggy14Qt/61 sLMx/PCKbhGlkIjJ3L/pJVn5In9BqIivLqhC75NxkBeozrz1ymJ+1SkQNBASE//VKCJl7F+h RoZ93yHUqGFQ5k227sygga/eKFFWl9xARv0O5KrLcuT94lKjrq/aDK6vq5A3XR+eddbGP4ke Bl+nestsn6d/4r9lYm6VHoiAOOt3oSWa8lRatYeBRnyM0NYcGVm0QWWy6GEBoNg8VHEHZNRH TVLfhMaL29S5WbxlKBMS67dN3tTPp8Y6CfKlOKYfC/n3+umEd//tylkpq+SfW6uj5qMVvJNM pHkzKG3K7lct00UXBnQNGJ9IBq0eV57w5f1dkaqV/9ya4uoCPtCZe65E+1lw2Xw/bNcv3eZV 6Qd0F4Y6ryEN4m543W+bXgm2v4o+f/VlDxjcQJldf2Elz/ENsbfp85I2UaNhv2zeD6Jtilaj 2EaxJfF+MmiRJFmR6xvWKx82w8f0MatJzsyioJY/9x2jRUhkik8358jtp8TB4qckmRre3fn6 FSURXiw33WrTl9rvPuJYoNZ2pIvXo9WncjmgpBFXvqd+9adg7jcgNfDCxn72PnwtkZKH+AXw a2eUpDRZ+r65qPGDGy5vl8sqUp1Bn8foAr0rLmQlN6PlBT2XLvazIhNUWEcdLfwFzZyh/D/G rqU5bhxJ/xUdZyJ21nwTPMyBRbKq2CKLNMEqlX2pUNvaacXalsMtz7r//WYCfOCRoOZgWcov CSReiQSQSNx2H/qcdFXQv9vKXaQH9qv0nzd7u8q0y8+luD3l+3GgXscieCcBt7rqtKHV89tb /R5mHncRhz6wiga0dQCHgYHueXNr+qlOzLxW8D8pA/wFugTdj+pDXYBmpp2H5g7Vmw5jywmh prwNedtiHJp5uWSmeQIhhdfXQFkKp+5j1yq7PKdz04iZcN0tvMz+SETiuHimPY8hjSlMgrJd vNDkraF/LucWgircxtbprKfqd+bvtVU5es+DOWHNuTVY/zcZ32EwqMJbEjdYTbrYbxJucGp5 FYyPg8ufXHDJwCnieG7Y56S3s+DjynaOJIAGM0giylbZHbQVjBAFXa8Nf2KVY7cpxurY+0Dc up+wvO8b6LKa8yMk2lb05YOLcR+9gH+q47kg1NzQ+xPVZgONeisGdS9CRfC2R0NDNVBOVaed mar46XzpRvISB3IRCV9G9F4fuusHW0o+huHHXt0JNxH9UAVUWvNB80qbKXiUpmzj2XbqspwQ 7QXG6JmP4n7v5HE5x0iDdZW9qafKgJUg1sd4PKn0fqxww99F0ES0hYv+fXu+zhvS7c8vr8/f vzz9Alkxc+EJQUkAWnonzX5Ismmq06GyEpVKTO3sCx1+UiNpwpuxiEIvsRPsizyLI59KU0K/ NlLt6xOqVjvVoTroxLLa5G+ba9FP91fmreutelO/l36xwrDXW4brLp6iiptDt6vHuW0w3WWd hJ6Ma7tMjtV3kAjQ/3j58/UNN32ZfO3HYeyoMYEmoSkREK8msS3TOLFozPd9nVgzz6Tw4qhT +rq+RjrpJO5NBgbxUpc1xrs463Re8zjOYrOHADkJqQsJE5glVz2dS52baQAJFIe9I4xjVEQ3 u/sd3Usnn6m/fYVW+PLX3dPX358+f376fPdu4voH2N7oTPV3fTzNXiNGpgVqE4cziuyqGClI uHfr9q4BwlJXD6hj4PMK4e1sjAMjRKu2IuNoIUbpAKE35jiWvwnnVcfX91UrR5pC68QWqJkm jH+yEBrTcB+69A6v27EyFKu0WefxV/0CDf4NDDeA3smR9vj58fsrdXtB1FndNfnpdg4Kq1H7 IPFjp5STL4FD0KHbdeP+/PHjrdNNDMDGvONg7rQGFeMC4uGw0cPRGUScU0wF7F7/kOprKp3S ndVzUKceMoYcfVNLQFRnFMTpaHjrO3FQjp4pZl/HQ1/dHlnpqEopunSG0YpGlMYRiYb3lLel 8MpXr1vRl956rQfDn1IiMqPT2COHpXqQ9unLszyLtlfvmGjR1HgH5F7EDqPlmHnElpMp1IQR XZJiMxXVIuUUD/nlhz1rjT2U4eXT/5pA9U3cIO6PHzC6LJ4qnqoRw/yiG6wIKwAroRadgO9e XyC3pzvovjAiPwsndRimItU//1vtunZmSz1Mk/3SR+ZYMBNwWwJErh+06kGlwo82wv58Koy9 RUwJfqOzkIBx/2TKm2q2SSpYyAdeppzFT/QWVEzIPaYbiyZqI3jPvtEmoQUZ2z0dwm7mGO6Z Ryu1maMrqqZzdKJZtLoYOnRFvHGyMw3Qkf58/PPu+/O3T68/vlD6ycVi1QJa2rnePkgveJQ2 YewAmAvIPBeg7FhgmaA7WwThx4exCyZHv9hftjG6vXF2On9SD++xohRnPtFpzJ0DMdmKC9tk xUsbHtYERC8TmOVALKjiCNRb1w3S5/Hr4/fvYOqIliOsTvFlGl2vwjXELY7cWnIJtFpKKrV8 yPudVe79iP95Pu3zpZZvywKSfMNkyqjEY/NQGqSmO9TFpTCo7Y4lPL0atcjzNo/LAPpLtztr hyUCFXugbsl53VHWzNzghb5sFmRp0biTlNGLXImCVX/bC4vdvCJPNfxiHQvq06/voMM1I2m6 xjD7Phh9oDxRu7yyKR5umlWo9EiPogZXgyoWi+HVynSi49By5S1YUo/4dM/idKNqx74uAmb2 RMXwMKpJjqt9uV19uxKk8duHi1FC03CWXbMPsyi0iCwNzQpCYpzEVmVOGtMsGU9ijyWuKhN4 5gdGauP79soSg/jQsizTfAKJKljuEVtVowu2Gxm5YT81WH3De7s3PzFGpbiILaAgstp5KIsw 8K9kKxIiSb8ovntL1NUaJ1MmUhBJXJ5/vP4EW2dT4+aHw1AdHIEzZcN2BUa5UWqdTHj+5sGf N6j8f/zf87QKaB//fNX654M/XeETfjid0sVWpORBlGmDSccYHSNZZfIfKJW9cpjz4YrwA+2H SBRKLSz/8vjvJ72c08LkWKkXQhY6l5fOTTKWz4sJfgEw1xdM3M7EwFuOT/3QlWbiSDNwfMGE eGrNrd+E9JSq81BuGjpH6M4gvBXkSZDO5ain2LvSZUqZR3+RMt8lC6s8yudfZ/FTdfzofWWx C0WMFby/oOzLKsRbPhZB4ilDRQXNnmxiIka663BNZW4glyymdmxUrnZMQrVnqBjok3OTG+Hr dAZLFIJrslLILCS2nI0oLjiVuKncdqV+Piz5FZQ6IbuIaA9aClreGGq3+WCXStLtNfrMVOaS UZscJ8syL4vbLh9B5Xwgm0bEChBfEynjjv0Bd4zBTvISbet7SvOWFyPLojgnE5+ZiofA86nN 3pkBh4Dq+6nSmYuuXFPW6IHNz3fajsdcLiATQrX5KZ9QO6Xd+yC9Xq9UVUyQ6ZDm4DqWyn2Y paJxSX21czXp8u+p1TUqY7D8r5rbIT+rpyJzQmCS+qkXeZT8E0bPehqTYYMYhQBrFHqL7r46 YzXvMY+NryEDlqmXbWYAzcIgten6ymhNRjSiOiSWhMYwianZYWUoIj8JGqoAZTUFyMSKiJKY vrClFCZNkyzcZIIeEfnxVo0KjsyzS4lAEBOVgkAaxlQJAIqN7EgeaIVtkeKM0SLFierisgy2 dhdGKdXxRF+VE0NE3/VaOLum3Nf8uCHYMII6Igt+LrjvedTMs8heZlkWK0dAwykeE5+ZA+34 oMWPEn+CFV2apGlf+LgGoz49voI5S1nLyx2wMo18aoBoDIrlsdJb3wt8FxC7gMQFaJ7/GhTS raTy+Gn6Fk8GVuFmOcf06hN37BCI3ABZAwAkgQNIXUmlVJ0dR5+83pfzMN0sDi/SRPe/X6Ar 3qU9iYCOQ+d4fGRJBh34tlnGa0+ptxkv4Ae+GISBSShxZrzn541USp5QFyDxWiJdyjq+v+UO d+yZZ5/6YPdTse1UDhbsD3bO+zQO05jbwIEXNrEt/DBloX4pZvmiiX3GWxIIPN5SxTuAAUNb QQoHpXwWWB5Mnuxcj/Ux8UOy19W7Nq8cL12sLH1Fuw5ODLiXOGk0++uRpRvf/lZEAfUZKMzB D4KtAYGxiPJDRX0tpwJ6P1/nSZ3u/xofOZXpHIR2EHZATOgTBAKf0A4CCBxJBZHri4QYSBIg RxKaHsFWqyBD4iWx6+PEp+4PaRwJMcMgkKUkPfRTuoPijV1QCNvZJUmYkckmSURUpgDoS9YC yt6oGxA2I2q8LfqQnEDHIokjKrex50HIks3SVad94O/awj3E2iEFrULbiEtvaBPqrsoKpyE5 kNqUWnYpMNGcQGV0YmxzGLUspBJjZDcE+lYrNS3VQkClxlabkRlncRBGDiCiRrUAiDHaFywN qTGKQBQQVXgaC7kjV+PDcQRejDDCCKkRSFOyxgCCtfDWDHLqizbV16YL9PE63u6H/L460eu7 tUh7FmdUj+51J7Hlg4lMWoFBQm3Maxx0YXewhO0dgWoXnj6/DTwhY70uRgHvb+EHW2qYFG/F ft8TBapPvD/DSrXnJDqEceAwcAboJJuqDjiYl5CqpB56HhuxLGwm3iQM7JY3VEUAy++tehcT nmOMS2jdY9tOJmTULIjzRBx6xBCbJiZiVMpJx3PNd4GXki50Ogs1V0t9z2gxwyiKqJkgv7KE kRXU9lA/25ZJ3yZpEo0u//yJ6VrBNLwdDuR9HPHffI/l20OWj31ZFslW9cBEFXlRQJpqgMVh km5ZBOeizDyPnHARCjaH4LXsK5+yiT42UAFkov1Di5bwdql3o/n6rckBS7XtlgKOYHvEAUdI +fUqeEF0utUT1FwetRVYSsSMUcGCJPKIGQGAwHcACe6rErm3vIjSdgOhplGJ7ULKwuPjyOXo smuobcEY29TyhR+wkvnkeMpLnrKAbTZCDiVl24r1lGuuSCpdv2610MOANvVSQjmNx7aIqWg/ be97RFUKOmmQCWS7tMBCxzRSGegZCJDY37ITL3WesCS3Jb6MfkDtnFxGFoQE/YGFaRoSq3AE mF9S0iGU+fQtY4VDDTSlAcQYEHTSgJAIahGHF5vC2MD0MJI2jAQTMp6BwpME6XHv+B6w6kjt aAj7MFe8/iaCeESixqAB3MYq8RTmCW/vTmdT8pm4W6s8JTczq9E/ZxpGaxSvLY1Drb85PXPM r38cuguIUvW3h9oR4YD6QrxFLYIyu4usfSAidouXdShh3EmSrKS8BN8uPx3ED7uC3DLhAx8T 16YgVXuWd7s3hDDDE6nHdVt5zNe4qP6I0Ro6zuudenGNq67XgqWoxVsHCuvabVfckQEv627z 85nB8f0Uj1x3KtzhGy626EheZRdMMmt8H4PkXnBVqhXgHXkwJ56cmeKkq3GqVODQ5sWtaE8O 1C7OHBxsvdn0Pz+/fRKBqa1ItdN37d4KwQqU+YB1rQlBxdtlt31TXYuuNT4Q0LEpSu0mMUIg WZx5pFuSgG1/LpGgcfi40nQPX6Sbfq0rbeLV5BEuquTB8IKqvrALkVFE1Qd2JQZmHZR55pH7 sAsYmmIC1Y9pU13AzcmV3iEfK3QbNzahRa0Ufni9XkkiVVew8EiCzCnEsU7AKBBBaghZwEoV T8oUWtmavrjVBXWYhggXsU6VLGSY2L4dTdHq9zwJ6ANFhH/LTx9h7HQlHdUWOCaHQS03xvqW 6cuDlUyb9bKzXf0odhw+TQxpmmw0p2QgPQpXOLM6iTy3pva0BDom2g7STFONbUGbtwt1snZf RqGfxmtlsA7VeNYpynn8RJ0p+unHQjWvTZ2LHaxNPNer8yJX6ZloVsowxl5IGaQCvGeqp5kg yfNWMxleR2lytfLXedrYsXsi0PsPDPqFa5yavkBIGzGOfRjG19vIi7wsdNR0Z52+aFql8tH3 1Pfiq04BMbVeLWmpSynPDq5mnQh64Ls6HMpiONcq5Fg/G1DSo2KaLbDmR6tS7YngofGDNLQi Nomqa8PY2Skmx1ytri9XFsemHs+H+mN3yh3eNkKE1Z1XbWrnXRLxTVFmYeRqC8tDTiEuOlu9 leua8+fvVVc2k2TGF12BfX3FGC5dM+L5GcEwP38MAD+3qufCyoM2rnzQUuFa6mLlA4V7YAlV IxqPqatXEA0YRu4Q6Dy6kaNgZRxmjESmLtCUnb+Fw5yILnQki9miCmSYPStC2ElKq80mBIX4 ASkoIIHvqD6B0YpN6RH5KQ7jeLuSBRNTfXZWTLdgV7o0Ky6Jq3Fr3mShYzrWuGAZ7JNRzhYm UAtJSNY36tqUrDiBBDTC0uBKCy0V4xsyCzW5XaHWRQUFGovQiJ2pg0lKe46tXGIXnTRDNB6W RI5sBEhuC+s8WUzWoID0Y0UNtBzbaCamOhgp2GTp6hfHdTxl5DhCiGW0zEXvw2xJY30sw3kS CGNx5kISsk+2/fs0CxyjAi27N8esYNruYJMXNJU9IDGpFE1LU0eylJYYbxZF8XZfse1IBduz q0fm2u/PHyvfgV1AHdHCCog56leApE+HwvPQUum+h/Wy/XiZCmLUy8t8N9tiGXLe76ph+NDX akBLmEjwpvsbTS4s3k2pVwPYhsaI6edjKtZeSGeblYU3h9j36HbgYBx7SU6nDSALorfUpeBK qS2vlQdPmnzo0ZQItq2sY4Hs1ETO0kAOaP8Jk81xSc5kY28pZ8Hmh9R6wmDSbGbFRNNvfK/A YrXSvbPJd/Vup9VE4VqYFVVh6FekUO9AtxUGNEEUDSU6/oPkmXD74wkA4xQv0NIG9sS4K4eL iELDq6Yq7CeM26fPz4+zyfz613ftMT4pad6K8POLMBqan/Kmg4XVxcWAIdTwfSY3x5DjFTwH yMvBBc0XeV24uG6h1uFyldUqslIVn/AxWCsS0qUuqw7jZZmZFNKPVAtVVl5262JMy1RLfLrY 9/npJWqev/38ZT+QLnO9RI3SrVfaFL/QpmOrV9DqfW3C+Nyd9dyyhORCp61PQvGeDuR7mJIV n0VW1jkiz32T8yOGnL8V8Bs30YeTdgdHpLM773EvnqCKxyYPavVR1aQ12hIE6cV+ftVsKWwg fdAYjWQlNr0a9q/n18cvd+PFbils8laLnS8o+RWqPO9hkPJ/+okKTW/iyArX5j+BisBUvBKh JW5NxzleNycHOrKfm4qKKjK/mWzLrQ59c2t8HMVzJSI+i7agF7WIM/Zbeks86buMO7WZHr+/ /tSGl9EJedd0ydWnZtep6z2AmR6Zo2F8UF0oV1qixC1Q8n/3+O3xy8u/sEIcA/1YXetzO7/N 99UUc4K7gT54kkztdWfKVI5ghcZbMr3746/ffzx/3hCtuAYxU5e2GvmWNzy3BeZ5nvohddNB wUW9qj1j7Td44TmXMZCMTp9fUl9fTq/UW8dp73lk2Z3LQzW6plPBERTBdOzST9GoNlBbryFX 38DUR1kOAhx9Pc1+DM2SnPC00FmIstwNNZSDZJBVKwbDPUy+dPhCOfktSuIvnT5WeZxqhpqc K+soVbdLxKCcaUv+MtoVUp35IuxrZZ6T8mkbb51zLR4jVzvZdmCk8xJiJd8NZilBe9biN6v4 x3y418yylUy7b4kQ/JXRkgo25Piu86mzRM4zx0a30j4JNa4mkWBcpV5yNEswVnvQToFdBrmV 69Ss8jnAOWz3rFw/vXz9ivue8pFlhxUxXhaVbky3gWG4rnTC8hD0FipLddhcEZy5caKtD2R6 rXiV2PUhP7iH+MbgN/ZuFY0WJaaanMi3i7KfyFt0IstP0OPKUY1PGzVrf5enz9y2m/DtyVtR kEeBM4fxTqRGvhW8DoarrbNVfKSG8GTSiUtKZjllqE+NtAS5I6iTENxs0xkee7M9Z+Qyaqen WGfQOwK8fT1VmVN5mnVLuTGA9U80gZyk2uIdekDcoTX3aE1OolVxSMECyJRQedCdfPUdhFNZ dKMOii96iRBifq3p7m/LE05/d8yU+PiT1r8U4vKAk7lI0d5PFqTHb5+ev3x5JF+0lCuycczF cbJ8eezn5+cXWOx8esFgIv919/3HCz7tiwHaMNTa1+dfxt3IWVvk59IRumniKPM0IhflC54x 1eF3IftZllr9EDRpEvlxYY8DgZAbLlNX530Y6Xvm0wDiYUhuAc1wHKo3EFZqEwa5JV9zCQMv r4sgtMy6M5QpjKw12kPL0tTKAKlhZkt76YOUt717oPPu9OG2G/c3YFKXRv9ZC8ugaiVfGM35 ATRjMsdnmgOsqezralVNwigErC/xVuFGt5Ec1Ay34hEj1CECiUe/ebNyMMeVesmxG5lPu3Us eEwdAixoYk0o99zzg9QWt21YAgIn1JmxMhX51gCRZKICxCkHDLmtMXnpY9+xfahwkHvPC556 XkDk/hAwMpbADGdaIAGFalUZUu1yX/prGAQWGYzALBAn8koHxH79qHV7ojenvq1lxCppisig 7iyQ3fzp20ba6k0khcys8S46fEqoJwlQhxIrHkYh/WHoiHMwc2Qhy6iorBN+z5hvq+AjZ4FH VM5SEUrlPH8FPfPvJ3wfUzwZTyiDc18mkReSR5EqBwvtLO3k19nsnWQBq/f7D1B0eOQ/S2Bp tDQOjtzSls4U5Js75XD3+vMbmNJWwdAewesvvnktZX7xwfh0efL3Cabsb08vGLT76ct3JWmz BdLQI5q8jYOUPIORsOHCNhUf3/fq69ILSFE3pJIlfvyKT5b++fQNphL73aWpI8FC5IQ7sY01 0gpOkY91HCe2rHULderWLgLOzLSQGlv7PkhNIzqLbGtmAoaQvKu7wiGdbkieXUu4u3hBbmu7 7hIktnGE1NgqJ1IZyWtrm+4SJxGhbASddh1QGGhPvpkhSTYmDvye0nKC/lbG2TZDGpAhZBY4 DSxdBlRHPaQJGTpiTYxqFsaoXttdsiTa6lLIsFlnfsjsHnzhSfL/lF1Zc9w4kv4repqYiY2J 4X1sRD+gSFYVXbxMsEqUXxhaj3rasV6rQ/bETO+v30zwwpEoeR9sSfklQBwJIBNHpmfscdZD WjuOse8nyL6heyJ59suvzyRD2tl8imwcg2PZ9dg5XNeu+gN+cywfvzl3bAbElWgCy0zWO77T Zb7RMU3bNo5LQnVYt5VhzgptInYxnJ4O9TnLao8QmRm41x79hzBo7BLKw0vEDINCUA2NCahB kZ0MeQZ6eGBHnZxl3CxwMSTFJSEnfXpSF/N9BTTKV86qUYTJHRuMXWLfNHXyxzR2iSkT6RH9 MGtjSJx4umU1WQulqLMZ/vX5+2/WRSrHiypGU+PVyMiQG7wZFUSyxqDmPWsIXamv47sKoGOq db6enc1N/M/vP17/58v/vuAeu9AbDGte8GPQgq6StuhkDC1qEe7PhiZeeg+UtWQzX/kumIam SaIYPgosNkapMWFyWTOpB8/ygEJjiiz1E5hvxTzZnNMw13dtxcKoyuQRlcw0Zp7jJXT2YxYq l0NULLBi9VhBQtntjonGg7U1syDgCRmGVWFD9Va7smxIhUuPXpnxmMEi8p4ACCaPro/ALJ23 lMKSsgi0B9RqtqA0vtd7dZIIbweOtTWHK0sd8umoOm49V3YZJ2PlkLqqa2oZ7WG6tZ+wbj3u O25/pPP/WLu5C20YWFpJ4Aeoo+KFmZqS5Lnq+4vYbz2+vX77AUm+r1EcxBXs7z/AMn9++/vD n78//wDj4suPl788/CqxLsXAnU8+HJwklZTdhRgp99dm4s1JnX/LLbWRyXG4oJHrilQGVTv1 w4EjPw4StCTJuT8/LKbq91nErPiPhx8vb2BB/sA4f9aa5v14UXNfp9bMy3OjWiUOP+umed0k SRDTm1w7rgzy+fLC7fBX/jP9ko1eoGxLbUT5dqT41ODLIxBJnyroPT+iiHpPh2c38Iie9pLE lAmHkgkvTQmZwF63ywQIkmP0ReIkvtlBjpNEJuvsJkoi3grujqmefhnhuavNRDs4tzM1G++f GvVcme7FYe8xat9yR2OqP42cUPZGevtQfJ/DmmZrXBguRi9hMATmRkYDiNaNXVJIh4c/WweV WtgO9A9rVyM4GpX2Yr2IM9EzWgLFk7RUlhGdq9lUYDwnLl1R8omLuFswDhEhHzCuyMdT61jy Q03a8vKAbV8faHJmkGMkk9TOoKZGry610oYpO6bKco20IiMnc19V+eZuyD1Y8SgXOBscuPKt MyT3Q+UlvkMRPZKIG3haeXC61aryKXdhXcVLWO0WMwtFM1vmfevciXNBYg6rucFIpxoSbFw9 mee42BglbOBQkub17cdvDwzsuS+fn7/97fL69vL87WHYh87fMrFG5cPNWl4QQM9xtGHS9qHq n2Ilur4xTA4ZGFHW+bY65YPv6/kv1FDPa6FH1HbxjENPmVMWDlSHPtQRYnlNQs+boBXeY7kF lOuK7RuuMbpBb4hSz+iekuf3ZzE559RzjRGX0POo5/BVGMUn1NX8T+9/V5XJLHWg1pYaCy0i 8Lfrc+sVQinvh9dvX/9YNMS/dVWlfwBI9oVErIBQVVgFbMIj8QjzdTa8i2y9nrla5A+/vr7N 2o2hdfnp+PRBE77mcJbd82601KB1etcImjav4GurwAkJomfIy0ymz22EHIKhbtMHqhNPTpVe cCSqPuhEPsMB1FdL3IZlwomikHK1JIo5eqET3gxpR5MIZgtbf+H87xtz2Lntr9y3DWnGs3bw CrVW56IqmmLbIpnvNpUgxW+/Pn9+efhz0YSO57l/eSfy6bpsOKl9cuAdfTZis3VE/sPr69fv GIoOBPDl6+vvD99e/mUfZ/m1rp8m3buecsnDvNEhMjm9Pf/+25fPZMS/24lhYF6qWXt5Ye9r cQYEypnipgPpeQcT37gGCqZzWpxq86I64n0YNeNLzZcotyb9eFihP8zs4Ms1H6ah7dqqPT1N fXHkKt9R3F/ffLtQYHsr+vkymSvHrN8ZqoKJCIJchGWhRQCYMQ7zBFZxjldxagx8amuKDt9s qEUZBq2xbz2ryUYBTpJ+KupJ+EwhWgsb0oZhOn7GW1YUyrNzsWku+Gh7OcF9gKnS2LeU0s2R o0EPJI2JhYGXlav6VVyRZuzEvmCaWGwInU/3DCEFybKVeNaA+trc7BVN1tZFzuT9DJlV5uxZ Xsh+5XeaeK3dDb0+YFidn7qrtWJNe70VzI7fTnQIdoSgp9WSXPNKJTB99NUndvIUPQErkDFY Mh+ncy6/uduQ6pZzvd8+jqTWA8ihzc5asTrWFNV6syz/8v33r89/PHTP316+GqIkWGGOgtoV PYdhXFluUe+8/MqnT44DM0MdduHUgBkUpjZJnNMc2mI6l/h61ovTnCis4BhuruM+XqGPqoji gdkRBpreMjOGbfZOwefN+bvlLKoyZ9Ml98PBlR917hzHohzLZrpASaey9g5MflirsD2hP63j E2hOXpCXXsR8h6x5WZVDccEfaZK4GcnSNG2FEdCdOP2UMYrlQ15O1QAfqwtH3bXeeS5nljM+ DdwJabxsTnnJO/SddsmdNM6dgOKDKTvHIlfDBXI6+24QPb7DB0U652BzpRRf094Y8glJcsmi SSxRFHtkE9SsGUqMBs+OThg/FrLn052rrcq6GKcqy/HX5gq92ZJ8fckxrsl5agd05JCS32x5 jv9AGgYvTOIp9Adj6M6c8D/jbVNm0+02us7R8YPGseh+WyLLy9p3Uz3l+O6lr6PYJf0Wk7zb pSKTqW0O7dQfQLxy0uWsNMhYza8g+DzK3Si35LczFf6ZkcYNxRv5H5xRvXZj4avfa1iJO0mY A4sGD0KvOJInBXQyxt6rXXuEDN9prqK8tFPgP96O7okSMHws0U3VR5Cw3uWjQ8r0wsQdP77F +aP6IppgC/zBrQrL3QF5whyg52FI8SGO32sZhZecOsXFWJaNgRewS0dxDDle4AUpe+Rnn5wH hv5aPS1LTjw9fhxP5LC8lRz00XZEsU69lJx1YOB3BXTT2HVOGGZe7Mn6iLZqKguueEqkanLL IrYiysK720SHty9//4euC2V5w4Xir5QRA+S0TTGVWRN5rtGh2RlaG12PoRpIOg4SuvAymQOp ERGa9GwqfAICo78aktT16DgkKl8akYeFJtN11JYyXKGhJHmh0evixLC26FE370Z0gHEqpkMS Ojd/OmoLS/NY7ZaSVhlUV7uh8QPSv8fcS6g6Th1PIs9Ytjco0CQPFGn4VyZKbJcZKFNHvtO0 EhUf+zMRVY9VPlSL41w2GKoyi3xoIdfxtKRDy8/lgS3XiiPvLmqo+xpO3XIm2JL72ZCXYQUb rFLHLtCXcCDzJgqhy5LIQIYudz3uyD7ThSIt3qvDfMKaMVLu/+tonIyjBc27O8kiT8sUTR68 sxuaw02CJvuDC50T7FBLQ4kxX5/zLgkDrUl2s0DdBpjJEzsf3inByll63OQk+LIioyY+c9aS ExdDw27lTS/lQqbctcojftT2EYBwPGhd1Wfd6arNiWXfg+3xsag14FS73tXXh+fpmhvzHc41 T5ZiFePsrAG9VBR84NQMD1ph0Qxit2P6eC37i2Z5YRz4njW5cEA6X3l6e/6fl4f/+uevv4Jt nOvG8PEAFk2OYX/2rwFN+KN4kklyTdYdELEfQlTmiA9epVkWP3LEN0xV1cMyYABZ2z1BdswA wGI7FQewTxSEP3E6LwTIvBCg84LGLspTMxVNXrJGNuUBPLTDeUHoWh7gB5kSPjPAfHsvraiF 8joSm604grZd5JPs+QuZbyem3EXEj7PsUpWns1ohjGG67PVwJQu0rLH6Q9mcSNn47fnt7/96 fiMD4WF/COEnRz2gXU1p0ZjsCewHTzEIZaoQFLmYLehE+MxUsWKwBdxcOKeiv9LcSmhp5RMz SfV9sZONR+A7tLUr/am+vDGtbEiy+DxcUe3t6Ure+1AtShmTYfiwf7XQ2RsJ1JKqKhpQgLS8 VviJD+XHK7X/sDOpRVyIih9JKUN2k51yYJXWvTKlcebNMltIsJ2DbHeCj3BgsfOw4cn1qLd8 M6YUF/6eMr3lkbg6/gYb3ZrTdBqVtkKS3JuS5PrqXOQbMs/ZTQu6thHvtdvCwbKsoI/QkKek Hq6isBctTIil2rOXJzX6IJD8/GgZc7e2zVvZySPSBtBS1foOoHPCkqW2vPosX8wflA2BMwXr 67LRG2ehwpLHYN28kSu9wpNd+SA75camqXl2PapDad5PVUbiARbycQhCy14JVnr27GkZWAXa pW1dqEPoAO00jhRNOII4aRKyYvpsxjleQYhVAatjVzElSQ1AzO6H58///fXLP3778fCnBxT2 xdeR4VEEN6uEux70bFRmUl0QWR9e79RtIKip/jDxy5B7oU8h6CtO9hi/AcLl1mNVUGNz52I5 ugl0qDIJKCYh053ejglfmA6zQsolMwkDHZsMJLyzaK7q96S30HPiqqMzPuSR69AvcaS69tmY NZQKIn2myGVxeUco1vSgkWBQDN0fBK1/CIvij/Wk9tv316+gZiyK/uKOwnJ6Cb/ylt41Fyem Cy7pyjIZflbXuuG/JA6N9+0j/8ULt+EDcwUsL8cjXrzTcybAJfT01PWgXvZP93n7dliPKfcT 5PuNsQ2z9tTKowH/nsTu8YTuSEghkHigIV3ae57ElFXXwfO0h9NLMY0z5rVgvL02cmwY7Q/Q OhVXx0jqstogTIXsan4llkWWholKz2tWNCec1418zo950akkXnw0piyk9+yxBmVPJcK80oHi yaf2eMTjXhX9AONFLQpSZocMi8O3rVURbTnHg2my1dcKitaxcpz7+7jqGszKtjoBbKscXb3Z C9S32XQkvWsAekNf97xASW8GrSE05XYjrYlUKBuqCVbsMt8Hg9moHxaXZoayJxephhlIPtJe evyK7lB6QhBw5JtkFATQIRQdRcZsKaBzVajuroHjTlfWazm1XeWrT8lkKmapIixL422nUu1y uwcUIVKl3pwsd5OEvtgi4KEsx86S3QwKi1IbaeyaJEqw74XmETRfpz16eq0OQ0K62hfSwhzX ifQUWV2iqzE6STs+gQZPNLigG1nxwEvI0F4zGCmxyjYaKNCPU847vcGzYTzax1jO+orREZgB PYmQaXoBK/Z0J82cY6AWUWSk0eZsAj13WD6oW1cCKpnOXWTn1qeNL4TLJi9P9Gq0w5atw50h /2Ap0Jp+1Iu1prMJUdFw14+Nlp3Jtr4/1okSyG8lrc7WpkPbVnr3n0EkLPkhpI0jWJfc2OwT EdQlGS2BKCUGS5Bx4Li0/cn1yLe3QhjaimniMUZBFBRcm9LKcZ7NlMyb2iPdn8xz0HjW5t6+ 7IYy11fgupDvXi+k1Bjpghhagm3iIlCyxCO3hSSUmsOE1dbyVv/gbfTI666IPdXH2b+g0FLP +V+FlwjJl5ToZq1lgTB3mP4lBITOYhUYNvXFTFAXuTlLVDwORdHdw0TNf3F1hg5Dlok7barP 4RUXiw98nFVDcbErKBvnfLDxE4y8PNVgNNjVop0V+u4nuNCy+Am2O7uXGmPbFCNr6E0ojRWW Jlu0WIORfCOisYlXd5SUrG3nOyHl/GJlW/atqBzmOFHivIWXFeg6Ex+ge+l305tgm+XsC1O4 O5STqsUCfip+iQJ1yh7ExaluWuRYSX3lB1V40ZeiODMy+GYy3rm741B55b0yV5+6kZyxkn20 kDfPahoYoec1vUUROJdHllF2qdBoslzd815T4UlLZJK7NieJZ4I8gIQKl7kGcmN9yTRtBYv/ WPaaDr5STSUpn20l1ZQZj4/2tYhb9sq377TKKZVonuLQHuhyCj/gjmMs8Rs+MJ4x6oakwlW3 csStFcIe09R52cvkQpj17znagIasO8OqFWqwrZakiayXme3IdLk25TCp96i3khnmyEyc2CgO XO0g7/LySMA1mhu61bwA2ScMFhYF4VSjp0BVjRcRDcnmq8tL36Kl2A7G6nrI6sgXG5l8ejyX fKgKMpw5SmIBktWIc8a5ZqomvaOd6v5hfgDymi0O7/DZx/Ht5eX75+evLw9Zd92eIi9PBnbW xSMqkeQ/1TWeC0sZr6L2xmy7YpzZ7JMt9RWm49FsP5GaEx0tALofESrgkzRSl9mxrCyp7lVi zG627llZ+q7mJzPrsh5FBa+KD8K73aLNKyAh5zLyXAd/vVOIsj6ZowmIIoeyoYo2Y+2VGGEI 4l0cWFgqO4fohTlzo912HJLfL/fUwQjAy0etWCj7BuPwMmpIDRewkrMbz02Mt0ecPKriVlRm QyCq+MSWgZaQJKTPuzcwgA8FMYfNHPC1tit6KviEzHhs+6yYs5pwJfh4La70DW85VdMuKo/p QZ7kB2WmzIaJHcopOxfZ5Z68bBW01QzrPvbXBnJtu3tM655Y2WW26s+McyMAG8bILfUwxHcS Fo2ICy3+OHLQVKB2/7+k212NodfUlTtpsaTHqm1zsQz9ZKK+GFjZrLreUIz3hJ8L0Zun6qH+ 8vnt9eXry+cfb6/fcJcZSKAvY2jg2XujfDawziQ/n0r/9uKRmFwuF2xWNvFQiw2DsZe481lm 43E4didGf0Fc0MLfu82QFLJuuulV1BHt4uK+vLPrdB3Kilz62dX1Y8+O6A4BFTy23M9VmSLX cvNBZltchVKIKwdW0hEwj++AtsJfAtfid0ZiCcJ3WUKrsbUwRKrvehkJbObezBD6SUTU7BKG IdUcVRYqx+orcMi9hAbAvssM5UuoptwPK6sxunOQNZsh2reuykPd0FQ5iPrjVmwVEJIigNC1 AjZRmGH75tHOY9vO2jhiopUR8I3duxUhw2vKDLFDZxlbKhrfrec4Ju+MRODyXd/YBV2hwLYR ujGkdFJ0hG3fBhE8o+fEnm2TDjlyFnsu0cSgIROz3nxvlJ4RC44RTEi6F7hUDQqe+KRbFJnB I8blTLd1ymmoI/LRwrYSNE079Rd/doRjpEcfhImT3J+mBJMfxrY9/I0ndEhBFRh5LVvhSGU3 xuq3qYGxIram2XCe2zcWdkaLO1a1DrYDEsHB6yR1I4wkvGxVkqWSuJZoZHfyBKvTjRJiqCIQ J6kVUO/TKWBKWIMLYE+lBMPUAFsHAOw7kfPOhIFcUEdGZi8Qa6lC1/HodKHr/dsK2MoLo8Qn r/VtDBWsg+To7geY8xJd0ggm6HlgMouGWyAusVoh3Sf6f94yoekhIRZIT4hFb6bbyhTru4sb eUlBNARoTe+OuJUrYz/FGr7bsDPPnB1hbZ6GKjR2SgUyP1lh8P8cGpGo0sJTX+l35Bsbaun3 jBFee75DdBkCEaW6LgAt/gAGoeq6aIMG5t9dB5EhJJdojq9Y2D3DdmDcC0OitAKILID2aEeB SKcrEkc4uz6jEoexe6+egkO/LrAAoDzTRcJIIqTn7Y3jyNIkJsaYFJXjLkh36Mbgu/plABX2 RkLxUOD3PnA3e+t0vrDk2eiS98Y3Pu4zz4uNDf4Zm7XIuyNJMN01i0SME0r/glU19f2Q+vRj ndDOoWQGqucEnfoW0BNCuDCmiktM2UinFDwRg8XC7xMaEdIDC39oKU9I1yuOiSUH6dRSAfTE odsB6Dapwai2pJtXhYEciojc1bgEA13SNKZLmsaJ7VMJ7edyY+EM41TcKc4nsaWTRrNfJlKD jEP7NSnBg9G976nzevhviR5FROc37Ap2BzkgEArvjuRmu4JFJk6sVxh2DnqO7VgE+hL5Jn7l qTq80w2NjsdCfWvWbGa4vYP343182PH9uqyyU6akm1WBjPU5uR+2wyow7/SdetadCRQviciH 0dvJ4HoFpMzN2/JAlG4+l/l0EJuIT+LIvTkNZ3mzGPCeURrU1chmPd5f7lHz3/+PtWdrbt7W 8a/4sZ3ZbnWxfNmdfZAl2VYjWfpE2XHy4kkTNZ+nsZ21nTnN+fULkJJMUFC+njP7lBigeAVB EMSlesb4atgHxmULv/CHGECCqVwig2AtYzrchqfAxZq8vrbA3XzO7hBZIOdDm7S4uDBGLeO4 9H2xRpMC2q9ZlNzprzkKVmY5dMuY7ngxi1YdcLDEQBZmL4JlDL84l0yJzQrhd7seZOuFzxvm IhrI1k+SvjrzIgvju+hB0LHU1h9mSzARZbyJdmJm8RxBlnpQz82kQqCrRbbCKCI3+A2mpoe0 FWFArv4ljhKff7ZQyCjIuFd5hcxMgooeYQZ6a1tE6SwuOAcPiZ3rviYSkmCK3bUwW1lmpv2S htzEGz8JY2OPlaOJW5j1QF/lTump6e4hMr9YB+jozV2uEXvvJ+ppiXyziaN7GaGlf14eCt98 PdLQMaaCpDMTlwbgN39WdKisvI9XS9ZRVY1+JWLgW3qANYQnQZ7d6+Y3EqjnmFSAVbbJjEIw N8iZzH40cPyRc2ZxbQFKvQgu1uksiXI/dAwi1sospkOL8AUE3i+jKBEddiG941IgqsiEJ+jR ZQIfZGJzCi0itd+MsjEcaiKblwYY38yK6IHOXrpOylhxaWOuViVnX6AwhW4wiKCsgH1g0mju r9BPHvZO307LoxXMwMroaR6VfvKw2hpQ4KNJELJAzjNSRwPRCHN8ObAbGdIl6DslMLSIKDte BBqYpwTFhDEaGJ3rAl31QmO5iywIfKPbcCQw01mH3endvMI4ZigSk7Mm8Yo3tpQlyog1e6px QMIgHETGGQAdypMuXyzSPtpZYHgnX1AzxBbYP58i9Yvyt+xBtnZ7MtegnQ0Gx5rBFoAnCsxR a3KnJXAf3tRZoYu1KJUvSE/v1ihj7XLdE1ex4SAzTpL7OE6z0qCBbQzbgIIeoyKrx9p2poH1 z9LjQ4gSrSHFCOCvWbFbrmcdklIY5bxa/+oXwZK8b6ekAVx86kCzzfs5Iz1K8XEtZrxYq4we OxtcA9QlGmeouiWzwjbYJNsKPo9LjqU9q99gu0UGwhMxKTJrMj+qbVZvxq1MWex4tgxiGreB Duxm56IBVZ5tnQikkWcUotsz57ckrVOTPK4vEaSq1crwBJVmrwUeh77YLQM602ajhj8Mwfmr FbDxIFJOK9IfjpAKk34QV62TIVxmYI/mPhxKO3TwjEVpdmMOLcRowIjcNI44ipS1EN81OuSs lLZH4TooE9WCgQxjIW1bom1tM4Vbp7sGQi7CIioQYJoR6bMD1yC4i8Bhh2aFcHr8j6Oj1QLf 9sbpckW3zSakcGiabcjFHI23liXXjCzyFonMXEkFDWeLwM8ZBPqDw70xEr7gsB3na0RFTTtd aJFlJU7YruysncSXJVKJjAzbM1+y2FwkfJM9Pcq2a8e2lnm3V7HIbXu07SLmsNZo/tdBZLfR kf438J0QXMhjUkTrJalDJBPbxhI9FRQTjIk9HderSL7FemdByrstNAWMvnXwMqE4em10NihS n3LfHwRvT5dL12JIUnNgzLz02NRtmBB4HxqlSpn+QbazggPwvwZyMsoMBNho8FK9Y8zqAVrL BiIe/P5xHcySO2QlOxEODk+fjU3t09vlNPi9Ghyr6qV6+W/ofEVqWlZv79L283A6V4P98Y9T 8yWOLj48ve6Pr92YvXIfhsHEssw5l5GsGDNB/UM5tWER0BErcCYZjOxB/vZ0ha4dBou3j2qQ PH1W5zZrkZx7WNnD6aXStSyyEmDau2zFXvglr7sPXNo0QuQxQDe0BPf3SHGageAOZvkpGkI2 CeDIJAGWU+jJ+Vti7lc9XpIObXrDoVKR9nwUp9sezM1DhcOW0aLwu8xhPLJoF2pgl5G2COg1 MLok0hk3Thq/ZdZCjKnfpSRZ6Cm1AGirokclW2eUxiPHrBKADu+HL3duuC7XnBZb9WYjogUd bhItslJewY12+MA1cq6Vpgj+joORQZXBgwybZkxpqO7ARgvzEl2gE1ZnIMeCOr86/OOtQgnd pXM4PkBcx5DyejRCOcwYTuLZZmGQQdLh9WXhg0CziWeFX2ac3C87n937RRFnBR1T7VthnH0i Ul4Xu3m8LdcFbyurqAxvsj0uMVjgAb7uW8foUU7f1ukcHmskxJnj2du+w2spQGKCf1zPMpau wQxH9L2mdjm6Q+/fqOhY87YEnX//vOyf4ToguR5P0fmSKE9XWa6kkCCK+ZwpiEWBdreZsZre 0l9uMinKHjogtYVnD4242d3nrkXuM1+MwuiRHy4i3qa5fMjZiIny3McIHuI+LgNNyZOmWjie /L7A4ABRqidSqoE1W9aNxKU3m99j2w518IsFiF9F+Ct+/YUkSurpj5eFWBEuey4OiPWTgN1c sn/xHO6kmmiGwGA2ti0yQejHCcXIrEjwGrNO0aJrsQxMSLiMRzD5Fv26dk2lrg2yA9+WNAoC ApfiW/8016FF+XgCWCItia4njVJRxgGnVsbrVa3LqiHyGiKDIHGwnVIaHhiMVPwFWaLzLome Fch9VsjEl/eYlmO1kCoTlZw3CrubV37m+6VN8rsq6Mq1HE8PLa7Awh0NvQ703iGZu1R30KFL fzu/QT0Tipl0XbMLEuh0gaMhB5zq4W5bqGWTFysJx+dYh3vdltg88KcezVOlwyXf6vtWXtLN D5PcnQ45w4gW63XGk3vWtttxAHvbba1aYMm2LjbhjR5v4/DMuaqhhpqhRY3czgf3qVGuiBaY baVLlqEzsTojLF1v6hol08B2xxOTjsrAH3l6JDMFTQJvajOTlPrb8Xg05ZMktXTF5i5S30er uWPPdKYk4RiPDIis014sXHueuPaUO9f1Eiqqm7EZ5Y3n97f98c+f7J/lUVUsZoM6hNnHEfOX MPq4wU837efPxnae4ameGp0XDyLQXxvUSJNtoQuOEoipSzpjLGOYtPUPCa/Mxci22JBmqheL 1LWHbSoulRb7CU7p8nR+/m6wKFp1gXH2OLP5GjvxpL1EO7vlef/62uV1tdrHZLmNNkjFpPo0 h1VjM2Cty4w/lknBtOSEbFJkGcEBP4v80iTrGq+HcOUbCWgmGa6IH5TxJi4fekf0FS9ryjRa PamblvO7f79iXsDL4Kom+Uaqq+r6x/7tiql2Tsc/9q+Dn3Atrk/n1+pq0mk75yCui5jEWKLj 9GFNzAOnQeb+Kg56FjOXthUm0bdzQ2MJ0C7p4UAxiKYQ8QyToegXFtt+gBPXx9CqWkC4xv7i 6c+Pd5wEGcLt8l5Vz98196088u/Wumu1AsA2XZVLaHFVChrtgeLzLEl6QuXQguswL1kvXVJs thJ9XQmjoEzu+rsC+B5vPlIsUZWwOPne2duAyO96fGVJsXKbk7AHtJN1dC/9hYNbn1sfijJQ whbTcJj6tZ78Rgw3mOk/qmE2DUqlYEj9bsxtAO5U9ABSQxNHVMp0qyihLeODyI0sQfYtUAOz AIy+78N76ewPUDYYMbp74xe3lxUZngPu+P5oSN9Qt1gJU0ft+Pj4sPqW5rswNzogg3MuscJd ukh5Lnorw038vey9erb5NKAdgOHaPN/V/WknP3jbV8crOWl8oJcArct6OoDxaUgWrXa5dsAI Qq322XrefSORtc9j47Z3L+H8NbmuicMp1C7NNlEdk/2rYn3B8mp0k56PPFrWODipciM8ThOP n45Tm8f1tlbwsH3KMV49d5mmwjP83AWsdT5i8rDYoNIwLr6ZH4WY1E6hej72afw8BIHYE2SC uxXI1jDybkdDCYhVVG7NqvJiLfiAQohN5yMzlKbe9zkfAGkzZ09qZAxN6L/bFqhtE7W1VBCU bfn0chupVDHR9ePf8/l0Of1xHSw/36vzL5vB60d1uXKe1z8qSuwGHmY9UZcCzMDHRsgo/YUW oj6GGblc62eBVmxU2f2en6u36nw6VNdGmGyS+VGMKn18eju9ynycdZJaOBigus63X5XTa2rQ v+9/edmfq2fcH7TOZqOE5dil2c1rUDe6N+3Ej5pQbO3p/ekZih2fq97Rtc2Ox8ORfkj++OM6 lRC23qb3FZ/H6/fqsicT11tGPSpV13+czn/KkX3+szr/xyA+vFcvsuGA7SrcHF29q3+zhpo0 rkAq8GV1fv0cSDJAAooDvYFoPPGGdFUkqH9VemuVjRYVyBl42/shjf2oZGvbwBB/e5jLSN/E q0DtnF1jSNpyhTDKdo8ZSOC3shpwFwa6UkbHPBbuyKK5tHX0bP3Iciu9arun6iRN9DDbHVRh 9zbrb8QoemAsGPzjy/m0f6GH/bKT1bXdY6q0OX2zDM3A9awATVCp7otQw+jEDgM+zLJMV1Sv YriQi9zXVCUgPaGAhvlL5nqGjzhKQuCUdRzhGrpMUUGHHFRQcxEM6l1j9DBouvEQfJoX2RyE Fk6svssDGZ5MG2QNknJX/xfUfakBEpFS5GkM0p2I3dFYV+/OQwznM3RsWYKYl2VJOI8Fa13r g+ATJFq8Yfghs/ZmGd6tPs2CGIwOZlwTHZU6w6ikhUnXj+FE8/3TcMXdxJqwGBF7ru7oY6A8 4olKkTanJKRFhsO+mvWQARomCINoTKPkGtipw7vQ6MWEIgDO7lYrhvcL+LvQc39oaNQYcvBN 4PV0bx5vo3CXpqzoU183NsGakPe9yONVklElvNr3b6fnPwfi9HF+ZjPZSOtbfHHe5XE5Gs5Y 1sBW0lKyHyezbGuYnEpjkl265NQ1zXVtpiduqatRj5FaXTHMzJqzaKjPmMPpWr2fT8/c4IoI jRcxkDc7LOZjVen74fLafTdQkb0+yc/ditweFExe6BbynREAzASoYprA2nSINNxyEIwpX8cs rIO5fRxf7kG80O7St6tVU1p2ozNhAubiJ/F5uVaHQXYcBN/37z+jKuB5/8f+WXsyUwfIAaQu AGOYMn16mxODQas8GufT08vz6dD3IYtXYtE2//UWBu3b6Rx/66vkR0WV1u4/021fBR2cREZH VPMNkv21UtjZx/4N1XztJHHa2riMtiq0R3v+sCT392uX1X/7eHqDeeqdSBav0wI+S3ZoYLt/ 2x//6quTw7Y6pL9FPRojwNz1m3kRcXfSaFsGN1vC6K8riHyNQVfHilAVBpE0UJkHDgZiLnw4 t6wO3HycqsFwzLmux58BtyL9Typ1mbxcebbHvTrVBYpyMh27fqdbIvU8/XmoBjcmAjpPuaFg MdHagY19DlJdRhJuYMAtuFejjY1uOqyrf+HHTuXkuH13g+2CGVeUSjcUXmvxtOnW8Pg6m63E OmXN0rHgHUqBWJzWXyuo4VCsO0uw6t+5YL+h42qaF2is2xZx9CLivpMfowY3xY3B3TonUyZ0 ZfDupby9XW0Td+j1ZrSSeBWTjJmvWerbOrnD76HV+W26Os/SAMj1ixRZoe9M2Gytvqs7isNa F6E1MgFTA6BfdjT7fdn8zg2NOS4bBN4IenBoxW7g77YinBo/Dbl8G/yGCeK1+1UauI5LbCj8 8dDzOgBaEQJH9P4HoMmwJ6QW4Kaex0eNUzhO85ZuA1g5Ih0CaOR4bPys8m7i2rpjOQBmfh0y 499X/7Q0OLamdqHNC0CcKRHnAQKX4p0M/9yGCuWkvnA8nW7plyoWLzB1rvw2d6wtIrXWATaZ 1LCb8Ay3asuyzXpuHHSlgnPW2YlYC57llkRCwIQRW6PxpAycoR6MTAImZKUkaMrFj4LjxHZH JIwc3rWM9M03XJC7Q9ZrXaoz0NYHLTpGFu3jyl+Pid2BlEU3eGzWvhla+xIn76cxvwS3Ahtj ym8YQHCEWay8cmRPaO9EKA/wNAtrmwmtxlJWZU1sfg0lWsAm5s9sRKdwom97iWAzH9lWD6lt 4hxDl6KvPOlvfdvaNoP/V1Wi8/PpeAWZ70XbUsjOikgEfhIxdWpf1BL4+xvIVqYvexoMzQts K5O3H/wb2lCbMo6/qQ0NvlcHaWcoquPlRKosEx9O22XN+cnml6joMfvKj2uWRiP2PAoCMSH7 1f/WOjY1xBaEbq/+BtuMC3SJFIucpOTJBdH+PU6mxL2qM1YV92D/UgOkjlJF0iYREJqzT8kh 9U7k0bqk0ThpsfXrJJWKugpRH1nta4EI0lhbGaJMJTh1PxR501I7ipv430EahzTtAo+r16nW oyuKAuJ6UhuAJ0zPGhmaac9l6QIQQz2DN/z2pg5aluhu/xLqFgQwmtDPRtMRHUaYZyWNRh2K oRGaKR05LhtMFFi9Z48N5u9NHC6ACrD+4djxDOYILXvemD8sFG8LfV7N8eUkt2Ty8nE4NPn2 KLeqY4XcDAp6cEoC5qwHOiXbWwehRtIFZSx1rv73ozo+f7bPJ/9EQ7AwFL/mSdKoKZR6aoHv EE/X0/nXcH+5nve/f+DzkE6+X5ZTDibfny7VLwkUq14Gyen0PvgJ2vl58Efbj4vWD73uf/XL WzLSL0dIdsnr5/l0eT69VzC3BqOdpQubZPeUv03xf771hQOyUs+NQ+NDi4ciAwmdo8587Vr6 M0sNYPe8qoaV5yWKEefjcgE3XHIM9Y9fMd/q6e36XWNxDfR8HRRP12qQno7768m4fc2j4dDi dM+oGrBs/S5VQ0gSWbZ6Dan3SPXn47B/2V8/u2vnp46Ke9SwlWVpEwl7ic9GFh+JDHCO1ZN1 hzhTY5K+ssfhvhQOy4mW5dqhQSTjscUaJCLCIYvWGa/iNLD3rmjXeaieLh/n6lCBuPMB80do OTZoOWZpOROTsdUXs/Mu3Y6IPL/ZxUE6dEb6wupQg34BA4Q9koRNdCY6gvaoJuxEpKNQbFlW /MXwlRGnzDPbpZDwN1hJ1zbuXestECW/9H7iWmwIOUBgaDztqMtDMXX1WZGQqb4Cvhi7ji5u zZY2eWrF37o2Ikih/IS++gCIPRoB4erB7AI0YPfo75Ee7HqRO35OIqgrCAzLsvTo840wIhJn atk0mhrBsaFUJcp2tJ7oKozEjCyh4DlJRv+b8DHp3A1Q5IXlOeQKWXh6aqZkA8s2DLTKgfkA ozLYEUJI9OlV5tuuxd+NsryE9eX2dw7dcyxEarMW27b+Eo2/SfjW8s51SbLLcrfexMLxGBDd VGUg3KE9NABjh1uYEmbfG3H6EYmZkIs0gsZjjrgAM/T0kIVr4dkTh7jPbYJVgjPMXQwlytWG tonSZGSRK4KE6C+Rm2REdHOPsAIwz8Q/i+50ZXP09HqsrkpLw/CAOxopUP7WFTN31nRK9qjS 9aX+YsUCDdWWvwD+wuvrsHRUZmlURoVS22lqrMD1nCHPhGqGKBuTp3zPRQzXG6603mSo0x1F GIFCa2SRuuSkpnD6zYOf+ksf/gjPJScVO+9qRT7ervv3t+ovch2R1y2ax4cUrA+657f9sW8x 9RvfKkjilT653TJKJX1LmK2H++DakT1onAEGv6DNzPEFJP9jRUdRZ1TWbpwaUnrJF+u87FV9 o6V+kmV5U6CfCB7EXPCl6mHwna3PxCPIWtJj4un4+vEG/7+fLntp+/XVxNZRYupMf/FqEdH9 9+NaifD9frrCYb1nFfmewzKfUAAb0JXOcOUb6r5deNMzDiYEAcPiWFmemEJoT9/YfsO0Urvf JM2ntsH2emtWX6s70rm6oOyiTf5tKma5NbJSzuh2luYOfbDA38YVO1kCK9X2QJgLt4cpmRH+ coscCXGQ2yjFszeYxNblbfXbYId54to0GGkqvF5lLaBcTulbc0CjrzrUOCG9IR3GMnesESff PuY+iFOayqIGtEJpcy81V+smZx7RjO7SVQx1kfW6n/7aH1Cix03zsr8ovWBnC0q5iQo1cegX 8o18t9Gpf2Y71OUwj1cc6RRztNMkcceLuRGIdzt1+3KPbqE3PSiohhP98Nh3LRoCYZN4bmJt e40hfzA9/78WkYrBV4d31GTQvdjdKWWU5oSQk+3UGtm8ObZCuvyDVpmC3M1lBpEIzVmxBI5v EfFfQpyQZ/7MQJqaViWJAgY/d3HI2fAhJsrnZmHlol5GvMYDSyDR5RlLeIguMav1QYfkUTGn EOnNVecgvRFMGu14R3/iRQo/1PlIDKju017vBcSpbJPLJAgDamF2Q5b6872s7z6gAHR/mZep 2e7/VfZky23kuv6KK0/nITPHlpfItyoPbDYl9ag39yLZeelSbCVWTbyUJN+T3K+/ANgLF7Qn 5yWOADR3giCIhTx3easHRKfVLRsUAHHkNDvtXRLRFeH+cffKRDUrbtDmzKxaQGMirmD0JSoE fmLpC92yDdafC7kcGXpguapic+VqTFDIpIQZ1S80lmkX4bU0MecCFGsCzErQuZ1qtrm4Oynf vh7IaGYYgS5zqo4i4QObJMojOP/sIBOBTJpllgqKjIFk/DTB5xj6FCOcVVlROHYJDBXV88Rh ygiEQMN62sKJeJXZn+GaipLbaXJjB7LQPbpVsdGvJ7vF+a1oJtM0oeAdo/3qqXAExnoF6zBv 67c+TkSeL7JUNUmYXF2xwgGSZVLFGT5YFKHp74YoevfUEUbszhkIO+M0ItFs52zink/dwWEt EONDjGQDHRl5HuajZhVixAenDCx+79iHd3swDYsssoy9W1ATRClsQ8yE+FvG46EwwqGmwAoT 52fP82wgviiXoTA4mkYUugStSV2fHPebexJQXMZSVmb64SrRWXfx+cfJA96joB0N62oJFPrJ 45f9WZnVmL1Sau/XkS9bItPhmStk5mWh7HgY8ZnKiIXRQVoXv4HbdfB5xVmM9+iSCvM/S0rO RHeoreJrY6KodIpff3q6UtEozdBYaDPgHFdV477eekgyKmZaSoZuybzovpArw8WYkEERhXOu 8Fmh1BfV4seNrXO8gMuszmPzikxFF2oe2TYVmOJ1wIy1N5zFli67M9YTM24yenQaZWU7BXDG Nen56ekpW85Y8MtZyQZ1wdgq0Ltb6p+r+fANoZMazSzmn67NlFYIbI0tDQiasY8oSnw758jU neIvPMSdQss4SuxU5ADQ3FdWhXVikwID/p8qyS0ciZGcLRPBXuEhTb98EJGam1qEVna9wWwe 5Cw4EHOMkGWF2cncRLHdzdo2cNXPnDv0x6YDwBjmlcCLE1yaZiXaVZVmWxGUlRHMgzSSHKtb FEJNttpBmgC9A5osN3DolNsgWLsXGi/TaYjWOXcWxch6akASKO7ykSjsgF+BRGMHY+iBoyLu QBHUEazNtMHk5gLH2HbWfccHONI4Cu3Bt134X7eomzqrLDduihmpwc1aFOnYeGiKsW5pbAVc Z5iEm1lSNSvjsqwBE4MCv5KVMc0YoHVWXjTmRGuYBZrVmNbACnYtAcTaP5GjrE2bwRTEAkU6 T3CQm/tH04M/VbjEmMzXLaISrFnArKQEzvbaIJD/iUexiMoqmxdsDPCOxglL0IGz4C9gCU3c hevtrZ2oV1pqP2zfHl5OvsHG9PYl+pNYA02AZeuhb6wZzFIGd4GKs4YkbC7mCuPpRlb8IEIB b4lDkNwH8FIVqVmrI0DBFdz7yfEIjbgVVWVUCdLVrE2uYbmK4Z9uVQ0Cqz82BvOISu3uD82r VMJNe2qGcoAffUy7D7vDy3R6ef3H2QcTjUluaKQuzj9Zi8vEfWL1bzbJp8vRz6esEb9DMnnn c/7pzSH69BtEbAwrh8RgFw5mYo+sgTkf/eZi9JvLUczVKMZ+ljRx1+ec6sgmuTwdKfj6fKxr 1xfXY10z38sQE5UZrq9mOlLU2eTydHSOAcmp5ZFGlDKK7DK7qs548IQHn/PtveCpL3nqKx78 iS/Em6++5bwOyCLh7GcsAmcFLbNo2hTuEBOUD9GAaIxrUmQJG1u1w8ONvbJveAMGxLq64CMH 9URFJqpoJJ9PT3RXRHE8opvoiOZCOSQuARz/S3uGEBxJjB4b2sNFiLSOKh9MAxKZLuwdBqSk ZWRGUUREXc2sZ6Y6jaQTU7uTm7JmbWnaLOFU24hu79/2qOn2gr1QGifTixp+w1XopsY4snT4 8oodHTsfZgq/AFlrzsZHxbwWKvQqaSXQFsNWAIgmXID4q3TCIP4lWtZaKk1USeq8qoikJc50 JPxjQoucsVkn0B97IYpQpdDOmuKu5HdwEQXp2o4e6BGZDfBLmEERGDaNN+zyyJGTlTm7lShH jCRSDLe+UHFu3jhYNIYbW3z+8O/D193zv98O2z3GA//jcfvjdbvvz/AultowwGbkorhMPn/4 sXl+QOPMj/jPw8t/nj/+2jxt4Nfm4XX3/PGw+baFlu4ePu6ej9vvuPY+fn399kEvx+V2/7z9 cfK42T9s6dlqWJb6Lrt9etn/Otk979D0avd/m9YutL8oRBX2Dq5HaZZaIhyh0OsQp8mICccq TDQp6hTM6HHGRhppR4ce70Zvfu3uu15Qw/Wfdfoxuf/1enw5uceI8i/7Ez0bQ381MfRpLsyA 6xZ44sOVCFmgT1ouZZQvzLXjIPxPFlauKAPokxbpnIOxhL1k+eQ2fLQlYqzxyzz3qQHoly2z hCEFdi3mTLkt3JItbVSf34OCVXGaDJtc3VaFaLrIVjbNfHY2mSZ17CHSOuaBXMPoD2cc3A1B XS2AK3tD0/r26xvW29cfu/s//t7+OrmnBft9v3l9/OWt06IUXrvChVe0ktIjU5IlDJkSlSzC UnjEZWK9T3fdr4uVmlxe2rmXtUr97fiIBhP3m+P24UQ9U9fQpuQ/u+PjiTgcXu53hAo3x43X VykTf8ZkwjVhAYepmJzmWXznGv65e3QelTDpzDSW6sYOVe6OyUIAW1t1OsGAzOeRwx/8lgeS WyczLnR7h6z8zSCZJatkwBQdF9wbXIvMZgEzZjk0cvybW6ZqEBvWhZmEptsXi27cff6BmZKq OmGajAE1V96KWWA42JFBtUL8dVyRA97q8beBK03ZWQNtD0e/hkKeT9iZQwQrU3Q13iJ7Hh/O IBZLNQm8HaXh/lBDhdXZaRjN/A3AHg6jE5CEFwzs0mtIEsHypvdIn08VSXhmJtno9stCnHHA yeWVzzkW4vKMYx6A4Kxae4Zz7teAGsMgm3t1rHNdhT71d6+Plpa+3//+YAOsqSJmbrI1Bh7y 6DvEkN/LmTyRKLgZ+WxVCpT7HXc3A3fJsTaAc4qCjvebOf1a2Iz++rW3TNIfUVXkKvU/KBN/ 7VTrjB2TFj4MiZ6Fl6dXtLjqPI/cts9iUXG3ro6rfcm8iqYX3BEcf+Htdwb0gr+otgRfSvsA 1/ZJIIa/PJ2kb09ft/vOUYrvCoYvbmResHYzXXeLYE7hFb0JI0zLybxBIty7zIVIuPMDEV5l f0UYElmhyUd+5/NTqAmk95krPv/Yfd1vQFzfv7wdd88Md46jgN1cCG+5nJGi2puggeqd5RAF 7SI2ShojYbYSIVlhxafj9hXCO0YLglj0RX0+e4/k/e5ysgrb4t+WbZC6579uUQtOQBDlXZJg Jj5JOgHMcGK8oQzIvA7ilqasg5ZseD8eCKs8Mam4V+TL0+tGqqKKZpHE5zz3LS9fynKKT0wr xGJhHMUn2ElliYpIHkupepbKMqvBVzOFCWr1Sx6+qVEbnMc6vezRM+kbCa4His9/2H1/1jZ5 94/b+7/hRmqYWZBy39TIFJF5L/Px5ecPHxysvqcYI+N971E0tAYvTq+vLL1LloaiuHObw2tp dMmw9TDUfFnxxN2L0G+MSdfkIEqxDfRSOOt4STzKROIoVaJoCkxXYpv+Ce+5ta8BBAGMeWs9 0RShKcBgHl8F97YkwNi4g98Rzbkwbni9qZmMMMSayO1NK+EuAmyT3Xry7MpkQ7AHPMFNNlFV N9YBK88nzs8+ALNTNWJg86ngbjrCKgwSNnqgJhDFWi8q50sYR/6jKzPOYCEvbKYiuQcm4EC9 DD1QGu8LWk4efsOEh1lid75FwUGP0oQ2FregaH7iwkFUYKgRylNfDNSDzTgIASz57RcEu7+b 2+mVOZwtlAzVXLswmyQSV7y40uJFwT3jDshqASvaaw7GEvUbGci/PJg90EOPAc+CLTnMgOOA +XuI0eKCxI4ZruPMknxNKBZrbqTATKRFpigrETvGAqIsMxnBXl4pGJXCTCWHKXFhH5t2dhqE T/JNInIbrsPCt4AUm0Uh6kVOel4nED+0NBYFmrwtSI4yGtRl46Uo70g7692V/olK5jVDgliM WcpUhqg0SzsEhlDKbWyhPJA0O0qFqwLYY4fQl+Ptt83bjyMa2B93398wh+GT1tVu9tvNCbrk /48h/sHHeAw1SXAH6+rz2ZWHKfFeqbEm9zHR0Ax8mRJz/kXELiriH6ZsIsFloEESEYMYkOBQ Tg3TGUSgJe54jHxaDoFKJQjqhREttpzHeskbOyHOLCUN/u45HFN6v3OqDO7f5gu0jL80lbAK i4oblB05K4okj4ADG2wuCmahsWQySmM/h3Peio2XwerprFVM87mMD19B9NOfU6eE6U9z/9IL QqhyM+SxflWgGwac0xhr7nRAodRhH4G9/40jNAzbPz3D164sJPHPfvzoJDSCvu53z8e/tSfK 0/bw3X+pk9p8tYmzeQxCRdyryj+NUtzUkao+X/Rj34qjXgk9BUjJQYZitCqKVCTK7ORoC/tr 9O7H9o/j7qkVtQ5Eeq/he6M/w4rGlUw3OW4KC6ifTLc+n51OLgx5EOYhh5FFg+SEfzwslAhJ /w5U/DObQhcFtMyECWfXqW4bSKoohqGNTCKsxIkuhlpKOXTNYwjLAM6JdsN1qj+gvd2cTwKH la4FLFDd6Tyj08Q0DDPhA3iVgFCKNpu2MGjWu1ZiScETnTxMg8T8uxNHM0caht19t4jD7de3 7xTcPXo+HPdvT22qkm7BiXlEFlXkCeID+2c3leJ0fT79ecZR6ajlfAkah4rxGj0cjDtLOwol MzIlccN1897UAxG+4hBdgoan75SDr5BMQXVQCkP1Rj/R88hUT0s6QzUqwEDAVntNOO8lQATl IpqxuaMJG0ar5osqMr/gOoWdAjf3gLWK7yrPYrcPKq0NqYXusbqvht3wb60Ue8jRXk7F/jij hZp3+23fZvtyDWs/5HFwEcWAYabqUxeGWOcsdBDtajQStxpXPSg6W6dsQFRCwh4ts9Sxzx0q ANY0kieHSLSdI5vOSfOjWBh8g0wU2qEDOTKGre526p/gaEcIbc5ifU8/uzo9PR2hdHMOO+j+ BX3GpcJxiNH2tSml8GZHn781HlPmAJZygXI4IVUaNvCTTV+qC1klbrGrhN5WXNvVHllwr149 Np/PYjEv3UJ1AF+yI/CHFwQxvGIwq3kRzd2MDjYzWArcY776UGPXWYHaBuA5QBVVKEyKMGwv g67lwrA7nGFeaOe8VpgGopPs5fXw8QTDYb296hNgsXn+bp3XOWaxQ5OJLMtZL0kTj8bwNbB0 G4nRC7K6AvAwt9msQov1OmejfRqjh8hmUaeYZbnkpn99A8coHMZhNnfYk67A8sR/t9faagqO w4c3Skzscxm9JB17ZQ1sddMmjKyjzQniyrbnCIdqqVRupBLCdhqc9F+H190zPvFCF57ejtuf W/jP9nj/559/mlkM0Y2AiqTkIIPNdzcxBebmYrwKNKIQa11ECuM4pqMjAuzj6DbCK21dqVvl baMuEYK3vXjy9VpjgBdmazJmcgiKdakS7zNqocP3EQbyvwdAfRPcEi9dML2uly32ysVq7kTu YS3J9XskdMfQdBdeRVEha7jAgwCv6q60ictIWup3jhN9WYORUu+StXNPt8s+xdr4PMMGRb8O L713twn7CfL0ZaWcWV9bd6j/Ym33W5tGElhZx5/dq0WL4W3n5JK+Nz8jIR5WCUhGpVIh7GWt /Xtn8Jb6zPbkE81f/tbSz8PmuDlBseceVdFmJkU9AVHpHSF57+xg7xb26k8oco6J9L2h/4qk CpABRSVQ9YzOUpGbG9fiiCMttquSBQxOWkWCHAP0S6SsWWFMMxFZM5xF1tRzznDUXSTdxQ4+ oUC83uKzSP5hhSIJyGFGSYYaED93lwUC1U05qnqhZpHtaTOnJQkXrigLzeVtD487q3Bw6eta MZowV4A8K++qzGBXKQXygfosY9SVcdlksejhgmuckHSnNL1QqP3SZsik+HDzDlDsUKK3HpLg D2z+qg3j4LUgL5RKYA3C1W20fqu8FsD5Ko364pYCI5da+0CD2u6Nhj21qOhhyMwHayK1MvfJ q4BhBw4BJc5yC9X5ZWTcJhh2S9W/WDvllgITLzYJJpZKQjQytsyp2rUJWEfwpJ3787h9Pmy4 zdsKInHQkKxpJ2gOYf3BNopZLWZ5PpFnEXMEaL88fRDC4QXH99XFsEu8ppgas2p7OOLRgFKa fPnf7X7z3YiOtaxRDjc6TQDdBXbgNN7OlKph6radaQZHG4cMNQdr/ZbvotKMwoP9pXVDhlJz BgP1HrW1quka1Zcyfk+AOZHZqlus1ht+UacoPlJLdUK9lE3rhIon9DmEZeGy2hbEnhTvTohn Ha31nP8PtdnRNVKuAQA= --SLDf9lqlvOQaIe6s-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============5821733094955799661==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH 1/2] ALSA: usb-audio: scarlett2: Read mixer volumes at init time Date: Mon, 07 Jun 2021 13:23:25 +0800 Message-ID: <202106071344.mIPQV62F-lkp@intel.com> In-Reply-To: <68f57d71862e1c858e48dd6c0a6c68342ac53fc9.1622974661.git.g@b4.vu> List-Id: --===============5821733094955799661== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi "Geoffrey, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on v5.13-rc4] [also build test WARNING on next-20210604] [cannot apply to sound/for-next] [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/Geoffrey-D-Bennett/ALSA-us= b-audio-scarlett2-Read-all-configuration-at-init-time/20210606-222037 base: 8124c8a6b35386f73523d27eacb71b5364a68c4c config: xtensa-randconfig-s032-20210607 (attached as .config) compiler: xtensa-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.3-341-g8af24329-dirty # https://github.com/0day-ci/linux/commit/4cd436ec424b3564c2dcf9b3b= 8fd83c8894051f1 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Geoffrey-D-Bennett/ALSA-usb-audio-= scarlett2-Read-all-configuration-at-init-time/20210606-222037 git checkout 4cd436ec424b3564c2dcf9b3b8fd83c8894051f1 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-9.3.0 make.cross = C=3D1 CF=3D'-fdiagnostic-prefix -D__CHECK_ENDIAN__' W=3D1 ARCH=3Dxtensa = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) >> sound/usb/mixer_scarlett_gen2.c:809:21: sparse: sparse: incorrect type i= n assignment (different base types) @@ expected restricted __le16 [user= type] mix_num @@ got int mix_num @@ sound/usb/mixer_scarlett_gen2.c:809:21: sparse: expected restricted = __le16 [usertype] mix_num sound/usb/mixer_scarlett_gen2.c:809:21: sparse: got int mix_num >> sound/usb/mixer_scarlett_gen2.c:810:19: sparse: sparse: incorrect type i= n assignment (different base types) @@ expected restricted __le16 [user= type] count @@ got int num_mixer_in @@ sound/usb/mixer_scarlett_gen2.c:810:19: sparse: expected restricted = __le16 [usertype] count sound/usb/mixer_scarlett_gen2.c:810:19: sparse: got int num_mixer_in vim +809 sound/usb/mixer_scarlett_gen2.c 788 = 789 /* Send a USB message to get the volumes for all inputs of one mix 790 * and put the values into private->mix[] 791 */ 792 static int scarlett2_usb_get_mix(struct usb_mixer_interface *mixer, 793 int mix_num) 794 { 795 struct scarlett2_mixer_data *private =3D mixer->private_data; 796 const struct scarlett2_device_info *info =3D private->info; 797 = 798 int num_mixer_in =3D 799 info->ports[SCARLETT2_PORT_TYPE_MIX].num[SCARLETT2_PORT_OUT]; 800 int err, i, j, k; 801 = 802 struct { 803 __le16 mix_num; 804 __le16 count; 805 } __packed req; 806 = 807 __le16 data[SCARLETT2_INPUT_MIX_MAX]; 808 = > 809 req.mix_num =3D mix_num; > 810 req.count =3D num_mixer_in; 811 = 812 err =3D scarlett2_usb(mixer, SCARLETT2_USB_GET_MIX, 813 &req, sizeof(req), 814 data, num_mixer_in * sizeof(u16)); 815 if (err < 0) 816 return err; 817 = 818 for (i =3D 0, j =3D mix_num * num_mixer_in; i < num_mixer_in; i++, = j++) { 819 u16 mixer_value =3D le16_to_cpu(data[i]); 820 = 821 for (k =3D 0; k < SCARLETT2_MIXER_VALUE_COUNT; k++) 822 if (scarlett2_mixer_values[k] >=3D mixer_value) 823 break; 824 if (k =3D=3D SCARLETT2_MIXER_VALUE_COUNT) 825 k =3D SCARLETT2_MIXER_MAX_VALUE; 826 private->mix[j] =3D k; 827 } 828 = 829 return 0; 830 } 831 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============5821733094955799661== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICCSlvWAAAy5jb25maWcAnDvbjtu4ku/zFUYGWMwAm4kvfcWiH2iKshlLoiJSvvSL4HQ7GeN0 2722e2by91tF6kJKtDPYg3Ny2lXFYrFYrBupX3/5tUfeT/vX9Wn7tH55+dH7vtltDuvT5rn3bfuy +Z9eIHqJUD0WcPUHEEfb3fs/n/45bXbHde/6j8Hoj/7Hw9NVb7Y57DYvPbrffdt+fwcG2/3ul19/ oSIJ+aSgtJizTHKRFIot1cMHw+DjC3L7+P3pqffbhNLfe/d/AL8P1iguC0A8/KhAk4bTw31/1O/X tBFJJjWqBhOpWSR5wwJAFdlwdNVwiAIkHYdBQwogP6mF6FvSToE3kXExEUo0XCwETyKesAbFsy/F QmSzBjLOeRQoHrNCkXHECikyBVhQ5a+9id6al95xc3p/a5Q7zsSMJQXoVsapxTvhqmDJvCAZSMxj rh5GQ+BSSSXilMMEiknV2x57u/0JGddLFJRE1Ro/fGjG2YiC5Ep4ButFFJJECoeWwICFJI+UlssD ngqpEhKzhw+/7fa7ze/WlHIl5zyl9kQ1bkEUnRZfcpYzjyA0E1IWMYtFtiqIUoROQUH14FyyiI89 46ZkzkBvwJnkYPggACw6qvYBdq13fP96/HE8bV6bfZiwhGWc6k2VU7FwtzkQMeGJC5M89hEVU84y nH1lC2uzD9g4n4TS1chm99zbf2tJ1xaOwv7N2JwlSlbLUdvXzeHoW5HidAZ2xWA1qhF0+likwEsE nNryJQIxPIiYd6M02qdqPpkWGZMFGn0mNcdyJR3BtLjjNHRkrWcARFHulFcx7sBmXJoxFqcKJEx8 NlSh5yLKE0UyZ1NK5IVhVMCoStU0zT+p9fE/vRMsrbcGuY6n9enYWz897d93p+3ue0v5MKAgVPPg ycQ1Fu0lHGSjChmAAIIysH6gUN4dSSX36ulfCKkXk9G8J31Gk6wKwDXCwo+CLcFmLCOSDoUe0wIR OZN6aGm6HlQHlAfMB1cZoZcRYIEkKOKxbX7u+mrNz8wf1l7M6i0X1AZPgSea9Gv7EEo6ZYE5ipVl yKc/N8/vL5tD79tmfXo/bI4aXIriwdYubpKJPJX27oO/oxOfN9SkZvZGzpDwrPBiaAjxkCTBggfK 8ZuZsgecnynlgbTYGWAWxKQDDOG0PLLMnqTEBGzOqde3GzxYK1q4Z2TMJT0/TrvQRg4MPTIFa7AE zpUsEkezEDAyAPmOOw8MbTXLlNFZKnii0LkpkVlR32w/xk4tioVYSVB5wMB3UKL0VthB0MEV86FH jIxFZGVlE9EMFahjbmbtrP5NYmAoRZ5R5kT4LCgmjzz1+gzAjQE3PIeMHmPiEysolo+WQ0BC4VgU Qq78Ix+lcjQxFgLdKv7t215aiBRcI39kRSgyDFXwfzFJKHNspEUm4Q8Pt7bbiiFV4WgFztZMmIrB n/ijj7N/HorqGE7hpEWOjKmQfFnGRb8Hz8C+Zl4UGLcXzqIQdJf51jomEnSR6zynpg9zSNj9nFLh XYjkk4REobNleg1h4OeDyUjo8yJyCp7MZkO4L9vkosizVgAkwZzDakp1+7UHzMckyyDX8jCd4bBV bJ3oClKYTLAN1drD46f4nLV9hk5xvWucUTtnB4lYENg+WGeiaMNFnbRVm49AYF7MY5DBjjwpHfSv qsBSFmbp5vBtf3hd7542PfbXZgfxnEBsoRjRIcmy8yhrNm9+8C85NgznsWFncqGWMVvlCFFQy1i1 kIzI2DlnUT72n61InEOQMexzNmFVnXGeDENQxCX4aziIIv4XhFOSBRDR/WYtp3kYQn2VEphcbxCB KOCz8pVULC4CoggWlTzkQIlVV7OfmQh55OR/OnHR4cXJmN0KsSJeKpZIK+ZWach0wSD5djL7h4FV 5UJ6AvGmkHmaCid3gzpqZlKnDs6AIT0NIzKRXXwc5y3jNtIVk5SL0dA+WJJARTslgVgUIgwlUw/9 f242UIb3rbIf8uMxHpwk4CSpbD497J82x+P+0Dv9eDMprJNVOXop5iSDsaoIZejZnhZRQIejoWOV HoKRv1ZtUdIc8oL451Oaqvj5CSb++qFFk4OrBX8L6UAZlOqkDuyz9H7N/jde3UbLlMO/GZuATfsP p057yJgXSN/vJESIuXS83OFQUEarn06CRj9mtm1f2tSWVoADH2eQJRW0Kr8q0wXDJxFmD1JEVkqW gt/GNKE0SZ7WpvSyPqGb6+3fsKXls596LJf+QNOmW6ohmPD5jbcIw3RCPFImGR4x2TSf6vK+Xnng ZoI0DrD1hMlT1IE+fHiCpe1fNg+n0w/Z/+/RHZyy3mG/Pz18et789emwfv1gbRMcR7dhBeVbEaix L5lMSSb1rAr+In5rx0UWEbWiXgMzcZUEQQanv//cf7JPv0V2N+YKS12oeFuR73Xzuj/86L2sf+zf T02ZCntczFiWMDuY69/FnGcqByvBWZFf/59nmHRkTVwSRgKKRg9V58QzCr5fQtqt258XjnxJKBlq S1kGWmEqTZT/sVejI8gZfNVlg5wH3XemfDyMDDPJtJuGAsPy1BAoTDJWeRABO13EZFk8ioQJCITZ w2Bgndb2uTGnaf831LCQM6y/b14hZfCdqjT2Zh1nhzqt0fXh6c/tafOEbuHj8+YNBrvTVIafETnV ibDtGzAGtKKTbgLqoDYVYtZCQiWLrkTxSS5ya6QehD1fJEC2eUKJW1trEogkYLUQ3ArVwizQ8fOU luenasR6ZJOMYu50AVVA8qBaFYvBnOt86gAPDlhpo2sFfhveMHQw8DMTia86i5TQfbaWuP52VpUy iCCPmNSeB8sXTLItnzgxjfIIUsxIPgwdvmwJ+lVTbO5YTi8S6AhB4AUkcE59X2ahZl9QIH9nfGbn s7W/mVAx//h1fdw89/5jXM/bYf9t+2K6ek0fF8hKB+I19Its2oneT+y9rqLh5GMhZ3c3tGOVWDs0 YaRUdVv35WlHd+f0mQwyTxDh0RTgS8OVnmEyo/U1wpmauaLk/lq2ROOmoQc+18Btk2FzwyNPjV8+ /qvZsC1xfjbM+BfYgpJgy013qeAx5sOuhnWqAyddTR8+fDp+3e4+ve6fYdO/bqxAqjIeg6rhEATg oqHiPDs3tjUZ7paY5c5Cx2i6nmFEJgOr65WYWyrMCxO9uXTW8k54EvWVS6CJkKLt/SySbNEiaJp9 +lywfzZP76f115eNvnLs6ary5MSEMU/CWOHp9/UtDFLSjKfq4bUz6lwfEJx/kMepnWOeE0XLEptE IvZFr2plkKC5YRIAYJcB05E3JpafLm+lOCSirXpPphG4n1RpTwMVjny4arkoigN8XUgsNjOGJua6 UD7JWpOYuFW0WgeY+hTgo8d2OMNkIBEKKlM3isykL5+rUw1YLUycmJTkqn9/U/daGVhFCtk+Vm8z p8NDI0ZMrPTtmNM4htBa9XCb4RUw9PYYMBpjG87lQiA8yIfbCvSYOiny4zi3YsfjKBRRYBvZozTt F6/PwNswsymYQsx44ndkoAtUBQTRdsulihl5eu6idoZq1peytiGft1XrRo45/LSNB5u/tk+bXnDY /mW6QnY0TSm3m0zc6VVSrs0ODMdnl4AlMo2d4RpSmUubl8alYgERAqb2a80hw1bDvyJu+sFnBIWT F7fEKWL3rszCfMl5Zjs3hHXsEoFS5b6rZkQR1WLAKOmIwMX8zPA0c/cFLE7yoK1RPNOFyhMs33xu tKY5syMaJ0l4Xr+a4ox+fYQsG+I/viwUysUo7xiZBQbfQX1bYpPIaUrrOh6oocg9HfYveI32XBu4 o+NQwb8Db22OaHyjgA44Bkf62kFU95Sv1VE6br/vFuvDRk9O9/CHfH972x9O9tXeJTITdvZfQdbt C6I3Z9lcoDKLXENi+LQx6EYReLte8bI3iJKAmRsTD1Qvt2MeFRKbFJrijBI/3w4HLmMDarhW99A/ FbmuDf2bW2882z2/7be7U3u7WRLoHqq/4LQH1qyOf29PT3/6Tck+7Av4L1d0CgWR08S6yKKOSsvI jcAIwLzCijslqMjIQpskSYIzl0SUQpnjv7AjKQ/cO5Wmmt4+lWGgJ7pFem4KoCmLUvcA1xQBm6s4 bb9RacrFJCBRK1+3X1Vo9iHPYqjRmHlQ1BEz3B5e/8aD87IHUzlYadhC1yqQrdSnlC0hAtcMnRZV TW1akBfW1FBWVYDXctpyVTLooh6vY53Us8qadcFgY8+oFUJLEWR8flbvmoDNQTxvdoZozCVKJpAu xmJuHUiNI3KV0IrCtGJrVWZs4iSy5nfBh7RNU8iIx2jIHXga8w4wjrnocs2+dGASyu5gwbOOTA2m iMdfulhKxw1Q92amYAwBmFcY2t1zRIXamenOT+eGpXs0zMuk92PvWSdQljeIp7xwVFAC2g8QKjB6 jyaSNI+XLN5WXphIbx2orJQVfug9lVVgSteH0xbF7r2tD0fHdSEtyW6x6+TUqACuGsgelAhL6KsN BcXqm/oLqAB2CvtFK1OaPnwcnGWgbzr0JRprrc0lw1YPXjA4TrezYK2HHP6EuInvaszVpTqsd8cX /XS1F61/tPIDvVKRntG3np5jiQX2FBOpmvo2I/GnTMSfwpf1Edz+n9u3bszQGg65u7LPLGC0dfgQ DuZhXY+4HPDmW79sEN5nKkiFR2FMklmh3/UUA3fSFnZ4EXvVshGYnw88sKEHligW4VvgDobEQevF R4WBsOF7XVKhc8Wjlm2QuGV5Im4zJmPJzqQAF3bOpGbrt7ft7nsFxHaBoVo/4VVVa3shZMCCUYUp FIKtM5ROVxK96qsHWLYlvQPqbv6d28y3SSJmPVO2EbiT5nHX0Ie2r3lsOLbtCOia+dETBlU/P4NL uTANgdYu+LN5xGhDKeZZkYispR7INM0ON2nwT3bEvLXbvHz7iOnXervbPPeAVelafWWBniim19cD f1cQ0DJq3Wy5g6f+ey99nFSQkdhRFfwulFAk0k+SnL5JiWWZ7twidjC8K4uN7fE/H8XuI8W1dop4 R55A0MnIa+4/14vmlUDu5po2QlqXKdpbJgwxXqB56rAqFhlX/mHdd582Esq8tglVqOESvePkvNYx ZS4FMw56/fcniAxryMVf9Op638yBb2oOz3qh2iFRy8wtRLt2baMDX33UKBPqbDvbrxHxkvtbTTUF HrFLrKtLZI/knaqvxpAMn2N4JTLnM5rEnfw83h6fXMXJuCqfu1PgP86D+BoDRiCmfl1yORMJnbqv FU1XmVKw6+9gyd0Stx7PKPXMB1As4KYEMlL3WdkZEliXr8Pcph6XXx9UzWaPhBVOnzG9jigFb9n7 L/P/Qygg4+pG25tEaDLXTX7hSSjqJL6e4ueMbSb5uGXqACgWkb5ck1PsibY8lSYYs3H56cmw38bh GxS3IV4iJlHOxtxdw3QFNZlTEgfK2jodqepdgnw0T7g60zAFLHbl8Y7EZlAwkkUrP2omxp8dQLBK SMwdAep3ADbMqV4EXl1ChTnHDNG+JDAIEc3dWaEqy5w3HJBi6sdU1iksQQVZ3t3d3t/4q+mSBoKF 74VthU4wh677Zck8Zr4+kwOvT3m37IGcSuJ7hYjLUTTvD4NmP0lwPbxeFkEqlBfoVpJQCccrrcim 4zaFQlpYmZ3iYWzij6UaDbxdLv1xm1N5PxrKq/7AoxJwgpGQOZSRuF3ceRQ+hZo0EvZEJA3k/V1/ SCJfxs1lNLzv90eNtAYy7DeQSlkKMNfXfZt5hRpPB7e3fX8zpSTRctz3lx4hpjG9GV0PLa3Kwc3d 0JnIHy+DRbHUD0uwx9dqUpfdM11dNqglPlVcFjIImbWNeAlXQIG2bEBTLjn8M2OrIpdjq9k1TK2P 3hgDzxV3fbiBF0QNr6wujwFGbELoqgOOyfLm7va6A78f0eVNM38Jhby4uLufpsyWucQxNuj3r2xv 2hKzXsv4dtBvpUYG1ir/LWBBpMxjU8JVWlCbf9bHHt8dT4f3V/3W9vjn+gBJ2glrVpyy94KB5BkO 4/YN/7QP7f9jtO8clwdTcyYvp81h3cP3V71vVb/ref/3DntevVddVfd+O2z+9317gPIaRv7e7B3B 9ygES5c0snRLp1b/RxsMiSg+4bfvnWpD0mA7IakRYE3ely1Q7pCCWJElnacksd14CTCtKNvNlvBW ldKUHbYPNDUGlbzKnju2i0i8rLezAd+Aij7M3dc/5rd+fSUnpgqwHuxrXCQmk9Z1o/l2kTHWG4zu r3q/hbAzC/jf710BQ54xt8FWQQoxpdwDToRc2efh4jxGkt3b++msiniS5pZT0T/hXAdWJ8nAwhCD aeREXoOR+u3UzMkxDCaGupEvS0zdC3rBJ6VbfLz+be3EsnKQwLcXbN4WoIIXqST5sjNVhZUUsoqk WD4M+sOryzSrh9ubO5fks1h5pmZzA2yiWgluff1h6fvcBa8ZCb54LIj9pVAFgQBteXMLml5f392d xdzb0jU4NRt7P4aoCL6oQf+67+GKiFs/Yji48SGwaznDTuPN3bVXmGj2E2GwoPIoRLcy8BsY5lOX ouTmanDjnRFwd1eDu0tzGgt1HlvU8sZ3o+Ho0mCkGI28U4PLuB1d31+cmkqPGuM0GwwHXp4JWyj3 NUqXRqSQU4nWlUSXTJJY5t6Hgw2JEguyICuPjDAUttKzGQJO+pVngIqHhRI5nQLEg14qPztK0sFg ufSMGNPYpzs1K9K47Od3T74/P62OvcTvgH15pSbQbx/tzy/0b4yABaGMuu/1bCRPFfOxtWggy14Q t/61sLMx/PCKbhGlkIjJ3L/pJVn5In9BqIivLqhC75NxkBeozrz1ymJ+1SkQNBASE//VKCJl7F+h RoZ93yHUqGFQ5k227sygga/eKFFWl9xARv0O5KrLcuT94lKjrq/aDK6vq5A3XR+eddbGP4keBl+n estsn6d/4r9lYm6VHoiAOOt3oSWa8lRatYeBRnyM0NYcGVm0QWWy6GEBoNg8VHEHZNRHTVLfhMaL 29S5WbxlKBMS67dN3tTPp8Y6CfKlOKYfC/n3+umEd//tylkpq+SfW6uj5qMVvJNMpHkzKG3K7lct 00UXBnQNGJ9IBq0eV57w5f1dkaqV/9ya4uoCPtCZe65E+1lw2Xw/bNcv3eZV6Qd0F4Y6ryEN4m54 3W+bXgm2v4o+f/VlDxjcQJldf2Elz/ENsbfp85I2UaNhv2zeD6Jtilaj2EaxJfF+MmiRJFmR6xvW Kx82w8f0MatJzsyioJY/9x2jRUhkik8358jtp8TB4qckmRre3fn6FSURXiw33WrTl9rvPuJYoNZ2 pIvXo9WncjmgpBFXvqd+9adg7jcgNfDCxn72PnwtkZKH+AXwa2eUpDRZ+r65qPGDGy5vl8sqUp1B n8foAr0rLmQlN6PlBT2XLvazIhNUWEcdLfwFzZyh/D/GrqU5bhxJ/xUdZyJ21nwTPMyBRbKq2CKL NMEqlX2pUNvaacXalsMtz7r//WYCfOCRoOZgWcovCSReiQSQSNx2H/qcdFXQv9vKXaQH9qv0nzd7 u8q0y8+luD3l+3GgXscieCcBt7rqtKHV89tb/R5mHncRhz6wiga0dQCHgYHueXNr+qlOzLxW8D8p A/wFugTdj+pDXYBmpp2H5g7Vmw5jywmhprwNedtiHJp5uWSmeQIhhdfXQFkKp+5j1yq7PKdz04iZ cN0tvMz+SETiuHimPY8hjSlMgrJdvNDkraF/LucWgircxtbprKfqd+bvtVU5es+DOWHNuTVY/zcZ 32EwqMJbEjdYTbrYbxJucGp5FYyPg8ufXHDJwCnieG7Y56S3s+DjynaOJIAGM0giylbZHbQVjBAF Xa8Nf2KVY7cpxurY+0Dcup+wvO8b6LKa8yMk2lb05YOLcR+9gH+q47kg1NzQ+xPVZgONeisGdS9C RfC2R0NDNVBOVaedmar46XzpRvISB3IRCV9G9F4fuusHW0o+huHHXt0JNxH9UAVUWvNB80qbKXiU pmzj2XbqspwQ7QXG6JmP4n7v5HE5x0iDdZW9qafKgJUg1sd4PKn0fqxww99F0ES0hYv+fXu+zhvS 7c8vr8/fvzz9Alkxc+EJQUkAWnonzX5Ismmq06GyEpVKTO3sCx1+UiNpwpuxiEIvsRPsizyLI59K U0K/NlLt6xOqVjvVoTroxLLa5G+ba9FP91fmreutelO/l36xwrDXW4brLp6iiptDt6vHuW0w3WWd hJ6Ma7tMjtV3kAjQ/3j58/UNN32ZfO3HYeyoMYEmoSkREK8msS3TOLFozPd9nVgzz6Tw4qhT+rq+ RjrpJO5NBgbxUpc1xrs463Re8zjOYrOHADkJqQsJE5glVz2dS52baQAJFIe9I4xjVEQ3u/sd3Usn n6m/fYVW+PLX3dPX358+f376fPdu4voH2N7oTPV3fTzNXiNGpgVqE4cziuyqGClIuHfr9q4BwlJX D6hj4PMK4e1sjAMjRKu2IuNoIUbpAKE35jiWvwnnVcfX91UrR5pC68QWqJkmjH+yEBrTcB+69A6v 27EyFKu0WefxV/0CDf4NDDeA3smR9vj58fsrdXtB1FndNfnpdg4Kq1H7IPFjp5STL4FD0KHbdeP+ /PHjrdNNDMDGvONg7rQGFeMC4uGw0cPRGUScU0wF7F7/kOprKp3SndVzUKceMoYcfVNLQFRnFMTp aHjrO3FQjp4pZl/HQ1/dHlnpqEopunSG0YpGlMYRiYb3lLel8MpXr1vRl956rQfDn1IiMqPT2COH pXqQ9unLszyLtlfvmGjR1HgH5F7EDqPlmHnElpMp1IQRXZJiMxXVIuUUD/nlhz1rjT2U4eXT/5pA 9U3cIO6PHzC6LJ4qnqoRw/yiG6wIKwAroRadgO9eXyC3pzvovjAiPwsndRimItU//1vtunZmSz1M k/3SR+ZYMBNwWwJErh+06kGlwo82wv58Koy9RUwJfqOzkIBx/2TKm2q2SSpYyAdeppzFT/QWVEzI PaYbiyZqI3jPvtEmoQUZ2z0dwm7mGO6ZRyu1maMrqqZzdKJZtLoYOnRFvHGyMw3Qkf58/PPu+/O3 T68/vlD6ycVi1QJa2rnePkgveJQ2YewAmAvIPBeg7FhgmaA7WwThx4exCyZHv9hftjG6vXF2On9S D++xohRnPtFpzJ0DMdmKC9tkxUsbHtYERC8TmOVALKjiCNRb1w3S5/Hr4/fvYOqIliOsTvFlGl2v wjXELY7cWnIJtFpKKrV8yPudVe79iP95Pu3zpZZvywKSfMNkyqjEY/NQGqSmO9TFpTCo7Y4lPL0a tcjzNo/LAPpLtztrhyUCFXugbsl53VHWzNzghb5sFmRp0biTlNGLXImCVX/bC4vdvCJPNfxiHQvq 06/voMM1I2m6xjD7Phh9oDxRu7yyKR5umlWo9EiPogZXgyoWi+HVynSi49By5S1YUo/4dM/idKNq x74uAmb2RMXwMKpJjqt9uV19uxKk8duHi1FC03CWXbMPsyi0iCwNzQpCYpzEVmVOGtMsGU9ijyWu KhN45gdGauP79soSg/jQsizTfAKJKljuEVtVowu2Gxm5YT81WH3De7s3PzFGpbiILaAgstp5KIsw 8K9kKxIiSb8ovntL1NUaJ1MmUhBJXJ5/vP4EW2dT4+aHw1AdHIEzZcN2BUa5UWqdTHj+5sGfN6j8 f/zf87QKaB//fNX654M/XeETfjid0sVWpORBlGmDSccYHSNZZfIfKJW9cpjz4YrwA+2HSBRKLSz/ 8vjvJ72c08LkWKkXQhY6l5fOTTKWz4sJfgEw1xdM3M7EwFuOT/3QlWbiSDNwfMGEeGrNrd+E9JSq 81BuGjpH6M4gvBXkSZDO5ain2LvSZUqZR3+RMt8lC6s8yudfZ/FTdfzofWWxC0WMFby/oOzLKsRb PhZB4ilDRQXNnmxiIka663BNZW4glyymdmxUrnZMQrVnqBjok3OTG+HrdAZLFIJrslLILCS2nI0o LjiVuKncdqV+Piz5FZQ6IbuIaA9aClreGGq3+WCXStLtNfrMVOaSUZscJ8syL4vbLh9B5Xwgm0bE ChBfEynjjv0Bd4zBTvISbet7SvOWFyPLojgnE5+ZiofA86nN3pkBh4Dq+6nSmYuuXFPW6IHNz3fa jsdcLiATQrX5KZ9QO6Xd+yC9Xq9UVUyQ6ZDm4DqWyn2YpaJxSX21czXp8u+p1TUqY7D8r5rbIT+r pyJzQmCS+qkXeZT8E0bPehqTYYMYhQBrFHqL7r46YzXvMY+NryEDlqmXbWYAzcIgten6ymhNRjSi OiSWhMYwianZYWUoIj8JGqoAZTUFyMSKiJKYvrClFCZNkyzcZIIeEfnxVo0KjsyzS4lAEBOVgkAa xlQJAIqN7EgeaIVtkeKM0SLFierisgy2dhdGKdXxRF+VE0NE3/VaOLum3Nf8uCHYMII6Igt+Lrjv edTMs8heZlkWK0dAwykeE5+ZA+34oMWPEn+CFV2apGlf+LgGoz49voI5S1nLyx2wMo18aoBoDIrl sdJb3wt8FxC7gMQFaJ7/GhTSraTy+Gn6Fk8GVuFmOcf06hN37BCI3ABZAwAkgQNIXUmlVJ0dR5+8 3pfzMN0sDi/SRPe/X6Ar3qU9iYCOQ+d4fGRJBh34tlnGa0+ptxkv4Ae+GISBSShxZrzn541USp5Q FyDxWiJdyjq+v+UOd+yZZ5/6YPdTse1UDhbsD3bO+zQO05jbwIEXNrEt/DBloX4pZvmiiX3GWxII PN5SxTuAAUNbQQoHpXwWWB5Mnuxcj/Ux8UOy19W7Nq8cL12sLH1Fuw5ODLiXOGk0++uRpRvf/lZE AfUZKMzBD4KtAYGxiPJDRX0tpwJ6P1/nSZ3u/xofOZXpHIR2EHZATOgTBAKf0A4CCBxJBZHri4QY SBIgRxKaHsFWqyBD4iWx6+PEp+4PaRwJMcMgkKUkPfRTuoPijV1QCNvZJUmYkckmSURUpgDoS9YC yt6oGxA2I2q8LfqQnEDHIokjKrex50HIks3SVad94O/awj3E2iEFrULbiEtvaBPqrsoKpyE5kNqU WnYpMNGcQGV0YmxzGLUspBJjZDcE+lYrNS3VQkClxlabkRlncRBGDiCiRrUAiDHaFywNqTGKQBQQ VXgaC7kjV+PDcQRejDDCCKkRSFOyxgCCtfDWDHLqizbV16YL9PE63u6H/L460eu7tUh7FmdUj+51 J7Hlg4lMWoFBQm3Maxx0YXewhO0dgWoXnj6/DTwhY70uRgHvb+EHW2qYFG/Fft8TBapPvD/DSrXn JDqEceAwcAboJJuqDjiYl5CqpB56HhuxLGwm3iQM7JY3VEUAy++tehcTnmOMS2jdY9tOJmTULIjz RBx6xBCbJiZiVMpJx3PNd4GXki50Ogs1V0t9z2gxwyiKqJkgv7KEkRXU9lA/25ZJ3yZpEo0u//yJ 6VrBNLwdDuR9HPHffI/l20OWj31ZFslW9cBEFXlRQJpqgMVhkm5ZBOeizDyPnHARCjaH4LXsK5+y iT42UAFkov1Di5bwdql3o/n6rckBS7XtlgKOYHvEAUdI+fUqeEF0utUT1FwetRVYSsSMUcGCJPKI GQGAwHcACe6rErm3vIjSdgOhplGJ7ULKwuPjyOXosmuobcEY29TyhR+wkvnkeMpLnrKAbTZCDiVl 24r1lGuuSCpdv2610MOANvVSQjmNx7aIqWg/be97RFUKOmmQCWS7tMBCxzRSGegZCJDY37ITL3We sCS3Jb6MfkDtnFxGFoQE/YGFaRoSq3AEmF9S0iGU+fQtY4VDDTSlAcQYEHTSgJAIahGHF5vC2MD0 MJI2jAQTMp6BwpME6XHv+B6w6kjtaAj7MFe8/iaCeESixqAB3MYq8RTmCW/vTmdT8pm4W6s8JTcz q9E/ZxpGaxSvLY1Drb85PXPMr38cuguIUvW3h9oR4YD6QrxFLYIyu4usfSAidouXdShh3EmSrKS8 BN8uPx3ED7uC3DLhAx8T16YgVXuWd7s3hDDDE6nHdVt5zNe4qP6I0Ro6zuudenGNq67XgqWoxVsH CuvabVfckQEv627z85nB8f0Uj1x3KtzhGy626EheZRdMMmt8H4PkXnBVqhXgHXkwJ56cmeKkq3Gq VODQ5sWtaE8O1C7OHBxsvdn0Pz+/fRKBqa1ItdN37d4KwQqU+YB1rQlBxdtlt31TXYuuNT4Q0LEp Su0mMUIgWZx5pFuSgG1/LpGgcfi40nQPX6Sbfq0rbeLV5BEuquTB8IKqvrALkVFE1Qd2JQZmHZR5 5pH7sAsYmmIC1Y9pU13AzcmV3iEfK3QbNzahRa0Ufni9XkkiVVew8EiCzCnEsU7AKBBBaghZwEoV T8oUWtmavrjVBXWYhggXsU6VLGSY2L4dTdHq9zwJ6ANFhH/LTx9h7HQlHdUWOCaHQS03xvqW6cuD lUyb9bKzXf0odhw+TQxpmmw0p2QgPQpXOLM6iTy3pva0BDom2g7STFONbUGbtwt1snZfRqGfxmtl sA7VeNYpynn8RJ0p+unHQjWvTZ2LHaxNPNer8yJX6ZloVsowxl5IGaQCvGeqp5kgyfNWMxleR2ly tfLXedrYsXsi0PsPDPqFa5yavkBIGzGOfRjG19vIi7wsdNR0Z52+aFql8tH31Pfiq04BMbVeLWmp SynPDq5mnQh64Ls6HMpiONcq5Fg/G1DSo2KaLbDmR6tS7YngofGDNLQiNomqa8PY2Skmx1ytri9X FsemHs+H+mN3yh3eNkKE1Z1XbWrnXRLxTVFmYeRqC8tDTiEuOlu9leua8+fvVVc2k2TGF12BfX3F GC5dM+L5GcEwP38MAD+3qufCyoM2rnzQUuFa6mLlA4V7YAlVIxqPqatXEA0YRu4Q6Dy6kaNgZRxm jESmLtCUnb+Fw5yILnQki9miCmSYPStC2ElKq80mBIX4ASkoIIHvqD6B0YpN6RH5KQ7jeLuSBRNT fXZWTLdgV7o0Ky6Jq3Fr3mShYzrWuGAZ7JNRzhYmUAtJSNY36tqUrDiBBDTC0uBKCy0V4xsyCzW5 XaHWRQUFGovQiJ2pg0lKe46tXGIXnTRDNB6WRI5sBEhuC+s8WUzWoID0Y0UNtBzbaCamOhgp2GTp 6hfHdTxl5DhCiGW0zEXvw2xJY30sw3kSCGNx5kISsk+2/fs0CxyjAi27N8esYNruYJMXNJU9IDGp FE1LU0eylJYYbxZF8XZfse1IBduzq0fm2u/PHyvfgV1AHdHCCog56leApE+HwvPQUum+h/Wy/XiZ CmLUy8t8N9tiGXLe76ph+NDXakBLmEjwpvsbTS4s3k2pVwPYhsaI6edjKtZeSGeblYU3h9j36Hbg YBx7SU6nDSALorfUpeBKqS2vlQdPmnzo0ZQItq2sY4Hs1ETO0kAOaP8Jk81xSc5kY28pZ8Hmh9R6 wmDSbGbFRNNvfK/AYrXSvbPJd/Vup9VE4VqYFVVh6FekUO9AtxUGNEEUDSU6/oPkmXD74wkA4xQv 0NIG9sS4K4eLiELDq6Yq7CeM26fPz4+zyfz613ftMT4pad6K8POLMBqan/Kmg4XVxcWAIdTwfSY3 x5DjFTwHyMvBBc0XeV24uG6h1uFyldUqslIVn/AxWCsS0qUuqw7jZZmZFNKPVAtVVl5262JMy1RL fLrY9/npJWqev/38ZT+QLnO9RI3SrVfaFL/QpmOrV9DqfW3C+Nyd9dyyhORCp61PQvGeDuR7mJIV n0VW1jkiz32T8yOGnL8V8Bs30YeTdgdHpLM773EvnqCKxyYPavVR1aQ12hIE6cV+ftVsKWwgfdAY jWQlNr0a9q/n18cvd+PFbils8laLnS8o+RWqPO9hkPJ/+okKTW/iyArX5j+BisBUvBKhJW5Nxzle NycHOrKfm4qKKjK/mWzLrQ59c2t8HMVzJSI+i7agF7WIM/Zbeks86buMO7WZHr+//tSGl9EJedd0 ydWnZtep6z2AmR6Zo2F8UF0oV1qixC1Q8n/3+O3xy8u/sEIcA/1YXetzO7/N99UUc4K7gT54kkzt dWfKVI5ghcZbMr3746/ffzx/3hCtuAYxU5e2GvmWNzy3BeZ5nvohddNBwUW9qj1j7Td44TmXMZCM Tp9fUl9fTq/UW8dp73lk2Z3LQzW6plPBERTBdOzST9GoNlBbryFX38DUR1kOAhx9Pc1+DM2SnPC0 0FmIstwNNZSDZJBVKwbDPUy+dPhCOfktSuIvnT5WeZxqhpqcK+soVbdLxKCcaUv+MtoVUp35Iuxr ZZ6T8mkbb51zLR4jVzvZdmCk8xJiJd8NZilBe9biN6v4x3y418yylUy7b4kQ/JXRkgo25Piu86mz RM4zx0a30j4JNa4mkWBcpV5yNEswVnvQToFdBrmV69Ss8jnAOWz3rFw/vXz9ivue8pFlhxUxXhaV bky3gWG4rnTC8hD0FipLddhcEZy5caKtD2R6rXiV2PUhP7iH+MbgN/ZuFY0WJaaanMi3i7KfyFt0 IstP0OPKUY1PGzVrf5enz9y2m/DtyVtRkEeBM4fxTqRGvhW8DoarrbNVfKSG8GTSiUtKZjllqE+N tAS5I6iTENxs0xkee7M9Z+QyaqenWGfQOwK8fT1VmVN5mnVLuTGA9U80gZyk2uIdekDcoTX3aE1O olVxSMECyJRQedCdfPUdhFNZdKMOii96iRBifq3p7m/LE05/d8yU+PiT1r8U4vKAk7lI0d5PFqTH b5+ev3x5JF+0lCuycczFcbJ8eezn5+cXWOx8esFgIv919/3HCz7tiwHaMNTa1+dfxt3IWVvk59IR umniKPM0IhflC54x1eF3IftZllr9EDRpEvlxYY8DgZAbLlNX530Y6Xvm0wDiYUhuAc1wHKo3EFZq Ewa5JV9zCQMvr4sgtMy6M5QpjKw12kPL0tTKAKlhZkt76YOUt717oPPu9OG2G/c3YFKXRv9ZC8ug aiVfGM35ATRjMsdnmgOsqezralVNwigErC/xVuFGt5Ec1Ay34hEj1CECiUe/ebNyMMeVesmxG5lP u3UseEwdAixoYk0o99zzg9QWt21YAgIn1JmxMhX51gCRZKICxCkHDLmtMXnpY9+xfahwkHvPC556 XkDk/hAwMpbADGdaIAGFalUZUu1yX/prGAQWGYzALBAn8koHxH79qHV7ojenvq1lxCppisig7iyQ 3fzp20ba6k0khcys8S46fEqoJwlQhxIrHkYh/WHoiHMwc2Qhy6iorBN+z5hvq+AjZ4FHVM5SEUrl PH8FPfPvJ3wfUzwZTyiDc18mkReSR5EqBwvtLO3k19nsnWQBq/f7D1B0eOQ/S2BptDQOjtzSls4U 5Js75XD3+vMbmNJWwdAewesvvnktZX7xwfh0efL3Cabsb08vGLT76ct3JWmzBdLQI5q8jYOUPIOR sOHCNhUf3/fq69ILSFE3pJIlfvyKT5b++fQNphL73aWpI8FC5IQ7sY010gpOkY91HCe2rHULderW LgLOzLSQGlv7PkhNIzqLbGtmAoaQvKu7wiGdbkieXUu4u3hBbmu77hIktnGE1NgqJ1IZyWtrm+4S JxGhbASddh1QGGhPvpkhSTYmDvye0nKC/lbG2TZDGpAhZBY4DSxdBlRHPaQJGTpiTYxqFsaoXttd siTa6lLIsFlnfsjsHnzhSfL/lF1Zc9w4kv4repqYiY2J4X1sRD+gSFYVXbxMsEqUXxhaj3rasV6r Q/bETO+v30zwwpEoeR9sSfklQBwJIBNHpmfscdZDWjuOse8nyL6heyJ59suvzyRD2tl8imwcg2PZ 9dg5XNeu+gN+cywfvzl3bAbElWgCy0zWO77TZb7RMU3bNo5LQnVYt5VhzgptInYxnJ4O9TnLao8Q mRm41x79hzBo7BLKw0vEDINCUA2NCahBkZ0MeQZ6eGBHnZxl3CxwMSTFJSEnfXpSF/N9BTTKV86q UYTJHRuMXWLfNHXyxzR2iSkT6RH9MGtjSJx4umU1WQulqLMZ/vX5+2/WRSrHiypGU+PVyMiQG7wZ FUSyxqDmPWsIXamv47sKoGOqdb6enc1N/M/vP17/58v/vuAeu9AbDGte8GPQgq6StuhkDC1qEe7P hiZeeg+UtWQzX/kumIamSaIYPgosNkapMWFyWTOpB8/ygEJjiiz1E5hvxTzZnNMw13dtxcKoyuQR lcw0Zp7jJXT2YxYql0NULLBi9VhBQtntjonGg7U1syDgCRmGVWFD9Va7smxIhUuPXpnxmMEi8p4A CCaPro/ALJ23lMKSsgi0B9RqtqA0vtd7dZIIbweOtTWHK0sd8umoOm49V3YZJ2PlkLqqa2oZ7WG6 tZ+wbj3uO25/pPP/WLu5C20YWFpJ4Aeoo+KFmZqS5Lnq+4vYbz2+vX77AUm+r1EcxBXs7z/AMn9+ +/vDn78//wDj4suPl788/CqxLsXAnU8+HJwklZTdhRgp99dm4s1JnX/LLbWRyXG4oJHrilQGVTv1 w4EjPw4StCTJuT8/LKbq91nErPiPhx8vb2BB/sA4f9aa5v14UXNfp9bMy3OjWiUOP+umed0kSRDT m1w7rgzy+fLC7fBX/jP9ko1eoGxLbUT5dqT41ODLIxBJnyroPT+iiHpPh2c38Iie9pLElAmHkgkv TQmZwF63ywQIkmP0ReIkvtlBjpNEJuvsJkoi3grujqmefhnhuavNRDs4tzM1G++fGvVcme7FYe8x at9yR2OqP42cUPZGevtQfJ/DmmZrXBguRi9hMATmRkYDiNaNXVJIh4c/WweVWtgO9A9rVyM4GpX2 Yr2IM9EzWgLFk7RUlhGdq9lUYDwnLl1R8omLuFswDhEhHzCuyMdT61jyQ03a8vKAbV8faHJmkGMk k9TOoKZGry610oYpO6bKco20IiMnc19V+eZuyD1Y8SgXOBscuPKtMyT3Q+UlvkMRPZKIG3haeXC6 1aryKXdhXcVLWO0WMwtFM1vmfevciXNBYg6rucFIpxoSbFw9mee42BglbOBQkub17cdvDwzsuS+f n7/97fL69vL87WHYh87fMrFG5cPNWl4QQM9xtGHS9qHqn2Ilur4xTA4ZGFHW+bY65YPv6/kv1FDP a6FH1HbxjENPmVMWDlSHPtQRYnlNQs+boBXeY7kFlOuK7RuuMbpBb4hSz+iekuf3ZzE559RzjRGX 0POo5/BVGMUn1NX8T+9/V5XJLHWg1pYaCy0i8Lfrc+sVQinvh9dvX/9YNMS/dVWlfwBI9oVErIBQ VVgFbMIj8QjzdTa8i2y9nrla5A+/vr7N2o2hdfnp+PRBE77mcJbd82601KB1etcImjav4GurwAkJ omfIy0ymz22EHIKhbtMHqhNPTpVecCSqPuhEPsMB1FdL3IZlwomikHK1JIo5eqET3gxpR5MIZgtb f+H87xtz2Lntr9y3DWnGs3bwCrVW56IqmmLbIpnvNpUgxW+/Pn9+efhz0YSO57l/eSfy6bpsOKl9 cuAdfTZis3VE/sPr69fvGIoOBPDl6+vvD99e/mUfZ/m1rp8m3buecsnDvNEhMjm9Pf/+25fPZMS/ 24lhYF6qWXt5Ye9rcQYEypnipgPpeQcT37gGCqZzWpxq86I64n0YNeNLzZcotyb9eFihP8zs4Ms1 H6ah7dqqPT1NfXHkKt9R3F/ffLtQYHsr+vkymSvHrN8ZqoKJCIJchGWhRQCYMQ7zBFZxjldxagx8 amuKDt9sqEUZBq2xbz2ryUYBTpJ+KupJ+EwhWgsb0oZhOn7GW1YUyrNzsWku+Gh7OcF9gKnS2LeU 0s2Ro0EPJI2JhYGXlav6VVyRZuzEvmCaWGwInU/3DCEFybKVeNaA+trc7BVN1tZFzuT9DJlV5uxZ Xsh+5XeaeK3dDb0+YFidn7qrtWJNe70VzI7fTnQIdoSgp9WSXPNKJTB99NUndvIUPQErkDFYMh+n cy6/uduQ6pZzvd8+jqTWA8ihzc5asTrWFNV6syz/8v33r89/PHTP316+GqIkWGGOgtoVPYdhXFlu Ue+8/MqnT44DM0MdduHUgBkUpjZJnNMc2mI6l/h61ovTnCis4BhuruM+XqGPqojigdkRBpreMjOG bfZOwefN+bvlLKoyZ9Ml98PBlR917hzHohzLZrpASaey9g5MflirsD2hP63jE2hOXpCXXsR8h6x5 WZVDccEfaZK4GcnSNG2FEdCdOP2UMYrlQ15O1QAfqwtH3bXeeS5nljM+DdwJabxsTnnJO/Sddsmd NM6dgOKDKTvHIlfDBXI6+24QPb7DB0U652BzpRRf094Y8glJcsmiSSxRFHtkE9SsGUqMBs+OThg/ FrLn052rrcq6GKcqy/HX5gq92ZJ8fckxrsl5agd05JCS32x5jv9AGgYvTOIp9Adj6M6c8D/jbVNm 0+02us7R8YPGseh+WyLLy9p3Uz3l+O6lr6PYJf0Wk7zbpSKTqW0O7dQfQLxy0uWsNMhYza8g+DzK 3Si35LczFf6ZkcYNxRv5H5xRvXZj4avfa1iJO0mYA4sGD0KvOJInBXQyxt6rXXuEDN9prqK8tFPg P96O7okSMHws0U3VR5Cw3uWjQ8r0wsQdP77F+aP6IppgC/zBrQrL3QF5whyg52FI8SGO32sZhZec OsXFWJaNgRewS0dxDDle4AUpe+Rnn5wHhv5aPS1LTjw9fhxP5LC8lRz00XZEsU69lJx1YOB3BXTT 2HVOGGZe7Mn6iLZqKguueEqkanLLIrYiysK720SHty9//4euC2V5w4Xir5QRA+S0TTGVWRN5rtGh 2RlaG12PoRpIOg4SuvAymQOpERGa9GwqfAICo78aktT16DgkKl8akYeFJtN11JYyXKGhJHmh0evi xLC26FE370Z0gHEqpkMSOjd/OmoLS/NY7ZaSVhlUV7uh8QPSv8fcS6g6Th1PIs9Ytjco0CQPFGn4 VyZKbJcZKFNHvtO0EhUf+zMRVY9VPlSL41w2GKoyi3xoIdfxtKRDy8/lgS3XiiPvLmqo+xpO3XIm 2JL72ZCXYQUbrFLHLtCXcCDzJgqhy5LIQIYudz3uyD7ThSIt3qvDfMKaMVLu/+tonIyjBc27O8ki T8sUTR68sxuaw02CJvuDC50T7FBLQ4kxX5/zLgkDrUl2s0DdBpjJEzsf3inByll63OQk+LIioyY+ c9aSExdDw27lTS/lQqbctcojftT2EYBwPGhd1Wfd6arNiWXfg+3xsag14FS73tXXh+fpmhvzHc41 T5ZiFePsrAG9VBR84NQMD1ph0Qxit2P6eC37i2Z5YRz4njW5cEA6X3l6e/6fl4f/+uevv4JtnOvG 8PEAFk2OYX/2rwFN+KN4kklyTdYdELEfQlTmiA9epVkWP3LEN0xV1cMyYABZ2z1BdswAwGI7FQew TxSEP3E6LwTIvBCg84LGLspTMxVNXrJGNuUBPLTDeUHoWh7gB5kSPjPAfHsvraiF8joSm604grZd 5JPs+QuZbyem3EXEj7PsUpWns1ohjGG67PVwJQu0rLH6Q9mcSNn47fnt7/96fiMD4WF/COEnRz2g XU1p0ZjsCewHTzEIZaoQFLmYLehE+MxUsWKwBdxcOKeiv9LcSmhp5RMzSfV9sZONR+A7tLUr/am+ vDGtbEiy+DxcUe3t6Ure+1AtShmTYfiwf7XQ2RsJ1JKqKhpQgLS8VviJD+XHK7X/sDOpRVyIih9J KUN2k51yYJXWvTKlcebNMltIsJ2DbHeCj3BgsfOw4cn1qLd8M6YUF/6eMr3lkbg6/gYb3ZrTdBqV tkKS3JuS5PrqXOQbMs/ZTQu6thHvtdvCwbKsoI/QkKekHq6isBctTIil2rOXJzX6IJD8/GgZc7e2 zVvZySPSBtBS1foOoHPCkqW2vPosX8wflA2BMwXr67LRG2ehwpLHYN28kSu9wpNd+SA75camqXl2 PapDad5PVUbiARbycQhCy14JVnr27GkZWAXapW1dqEPoAO00jhRNOII4aRKyYvpsxjleQYhVAatj VzElSQ1AzO6H58///fXLP3778fCnBxT2xdeR4VEEN6uEux70bFRmUl0QWR9e79RtIKip/jDxy5B7 oU8h6CtO9hi/AcLl1mNVUGNz52I5ugl0qDIJKCYh053ejglfmA6zQsolMwkDHZsMJLyzaK7q96S3 0HPiqqMzPuSR69AvcaS69tmYNZQKIn2myGVxeUco1vSgkWBQDN0fBK1/CIvij/Wk9tv316+gZiyK /uKOwnJ6Cb/ylt41FyemCy7pyjIZflbXuuG/JA6N9+0j/8ULt+EDcwUsL8cjXrzTcybAJfT01PWg XvZP93n7dliPKfcT5PuNsQ2z9tTKowH/nsTu8YTuSEghkHigIV3ae57ElFXXwfO0h9NLMY0z5rVg vL02cmwY7Q/QOhVXx0jqstogTIXsan4llkWWholKz2tWNCec1418zo950akkXnw0piyk9+yxBmVP JcK80oHiyaf2eMTjXhX9AONFLQpSZocMi8O3rVURbTnHg2my1dcKitaxcpz7+7jqGszKtjoBbKsc Xb3ZC9S32XQkvWsAekNf97xASW8GrSE05XYjrYlUKBuqCVbsMt8Hg9moHxaXZoayJxephhlIPtJe evyK7lB6QhBw5JtkFATQIRQdRcZsKaBzVajuroHjTlfWazm1XeWrT8lkKmapIixL422nUu1yuwcU IVKl3pwsd5OEvtgi4KEsx86S3QwKi1IbaeyaJEqw74XmETRfpz16eq0OQ0K62hfSwhzXifQUWV2i qzE6STs+gQZPNLigG1nxwEvI0F4zGCmxyjYaKNCPU847vcGzYTzax1jO+orREZgBPYmQaXoBK/Z0 J82cY6AWUWSk0eZsAj13WD6oW1cCKpnOXWTn1qeNL4TLJi9P9Gq0w5atw50h/2Ap0Jp+1Iu1prMJ UdFw14+Nlp3Jtr4/1okSyG8lrc7WpkPbVnr3n0EkLPkhpI0jWJfc2OwTEdQlGS2BKCUGS5Bx4Li0 /cn1yLe3QhjaimniMUZBFBRcm9LKcZ7NlMyb2iPdn8xz0HjW5t6+7IYy11fgupDvXi+k1Bjpghha gm3iIlCyxCO3hSSUmsOE1dbyVv/gbfTI666IPdXH2b+g0FLP+V+FlwjJl5ToZq1lgTB3mP4lBITO YhUYNvXFTFAXuTlLVDwORdHdw0TNf3F1hg5Dlok7barP4RUXiw98nFVDcbErKBvnfLDxE4y8PNVg NNjVop0V+u4nuNCy+Am2O7uXGmPbFCNr6E0ojRWWJlu0WIORfCOisYlXd5SUrG3nOyHl/GJlW/at qBzmOFHivIWXFeg6Ex+ge+l305tgm+XsC1O4O5STqsUCfip+iQJ1yh7ExaluWuRYSX3lB1V40Zei ODMy+GYy3rm741B55b0yV5+6kZyxkn20kDfPahoYoec1vUUROJdHllF2qdBoslzd815T4UlLZJK7 NieJZ4I8gIQKl7kGcmN9yTRtBYv/WPaaDr5STSUpn20l1ZQZj4/2tYhb9sq377TKKZVonuLQHuhy Cj/gjmMs8Rs+MJ4x6oakwlW3csStFcIe09R52cvkQpj17znagIasO8OqFWqwrZakiayXme3IdLk2 5TCp96i3khnmyEyc2CgOXO0g7/LySMA1mhu61bwA2ScMFhYF4VSjp0BVjRcRDcnmq8tL36Kl2A7G 6nrI6sgXG5l8ejyXfKgKMpw5SmIBktWIc8a5ZqomvaOd6v5hfgDymi0O7/DZx/Ht5eX75+evLw9Z d92eIi9PBnbWxSMqkeQ/1TWeC0sZr6L2xmy7YpzZ7JMt9RWm49FsP5GaEx0tALofESrgkzRSl9mx rCyp7lVizG627llZ+q7mJzPrsh5FBa+KD8K73aLNKyAh5zLyXAd/vVOIsj6ZowmIIoeyoYo2Y+2V GGEI4l0cWFgqO4fohTlzo912HJLfL/fUwQjAy0etWCj7BuPwMmpIDRewkrMbz02Mt0ecPKriVlRm QyCq+MSWgZaQJKTPuzcwgA8FMYfNHPC1tit6KviEzHhs+6yYs5pwJfh4La70DW85VdMuKo/pQZ7k B2WmzIaJHcopOxfZ5Z68bBW01QzrPvbXBnJtu3tM655Y2WW26s+McyMAG8bILfUwxHcSFo2ICy3+ OHLQVKB2/7+k212NodfUlTtpsaTHqm1zsQz9ZKK+GFjZrLreUIz3hJ8L0Zun6qH+8vnt9eXry+cf b6/fcJcZSKAvY2jg2XujfDawziQ/n0r/9uKRmFwuF2xWNvFQiw2DsZe481lm43E4didGf0Fc0MLf u82QFLJuuulV1BHt4uK+vLPrdB3Kilz62dX1Y8+O6A4BFTy23M9VmSLXcvNBZltchVKIKwdW0hEw j++AtsJfAtfid0ZiCcJ3WUKrsbUwRKrvehkJbObezBD6SUTU7BKGIdUcVRYqx+orcMi9hAbAvssM 5UuoptwPK6sxunOQNZsh2reuykPd0FQ5iPrjVmwVEJIigNC1AjZRmGH75tHOY9vO2jhiopUR8I3d uxUhw2vKDLFDZxlbKhrfrec4Ju+MRODyXd/YBV2hwLYRujGkdFJ0hG3fBhE8o+fEnm2TDjlyFnsu 0cSgIROz3nxvlJ4RC44RTEi6F7hUDQqe+KRbFJnBI8blTLd1ymmoI/LRwrYSNE079Rd/doRjpEcf hImT3J+mBJMfxrY9/I0ndEhBFRh5LVvhSGU3xuq3qYGxIram2XCe2zcWdkaLO1a1DrYDEsHB6yR1 I4wkvGxVkqWSuJZoZHfyBKvTjRJiqCIQJ6kVUO/TKWBKWIMLYE+lBMPUAFsHAOw7kfPOhIFcUEdG Zi8Qa6lC1/HodKHr/dsK2MoLo8Qnr/VtDBWsg+To7geY8xJd0ggm6HlgMouGWyAusVoh3Sf6f94y oekhIRZIT4hFb6bbyhTru4sbeUlBNARoTe+OuJUrYz/FGr7bsDPPnB1hbZ6GKjR2SgUyP1lh8P8c GpGo0sJTX+l35Bsbaun3jBFee75DdBkCEaW6LgAt/gAGoeq6aIMG5t9dB5EhJJdojq9Y2D3DdmDc C0OitAKILID2aEeBSKcrEkc4uz6jEoexe6+egkO/LrAAoDzTRcJIIqTn7Y3jyNIkJsaYFJXjLkh3 6Mbgu/plABX2RkLxUOD3PnA3e+t0vrDk2eiS98Y3Pu4zz4uNDf4Zm7XIuyNJMN01i0SME0r/glU1 9f2Q+vRjndDOoWQGqucEnfoW0BNCuDCmiktM2UinFDwRg8XC7xMaEdIDC39oKU9I1yuOiSUH6dRS AfTEodsB6Dapwai2pJtXhYEciojc1bgEA13SNKZLmsaJ7VMJ7edyY+EM41TcKc4nsaWTRrNfJlKD jEP7NSnBg9G976nzevhviR5FROc37Ap2BzkgEArvjuRmu4JFJk6sVxh2DnqO7VgE+hL5Jn7lqTq8 0w2NjsdCfWvWbGa4vYP343182PH9uqyyU6akm1WBjPU5uR+2wyow7/SdetadCRQviciH0dvJ4HoF pMzN2/JAlG4+l/l0EJuIT+LIvTkNZ3mzGPCeURrU1chmPd5f7lHz3/+PtWdrbt7W8a/4sZ3ZbnWx fNmdfZAl2VYjWfpE2XHy4kkTNZ+nsZ21nTnN+fULkJJMUFC+njP7lBigeAVBEMSlesb4atgHxmUL v/CHGECCqVwig2AtYzrchqfAxZq8vrbA3XzO7hBZIOdDm7S4uDBGLeO49H2xRpMC2q9ZlNzprzkK VmY5dMuY7ngxi1YdcLDEQBZmL4JlDL84l0yJzQrhd7seZOuFzxvmIhrI1k+SvjrzIgvju+hB0LHU 1h9mSzARZbyJdmJm8RxBlnpQz82kQqCrRbbCKCI3+A2mpoe0FWFArv4ljhKff7ZQyCjIuFd5hcxM gooeYQZ6a1tE6SwuOAcPiZ3rviYSkmCK3bUwW1lmpv2ShtzEGz8JY2OPlaOJW5j1QF/lTump6e4h Mr9YB+jozV2uEXvvJ+ppiXyziaN7GaGlf14eCt98PdLQMaaCpDMTlwbgN39WdKisvI9XS9ZRVY1+ JWLgW3qANYQnQZ7d6+Y3EqjnmFSAVbbJjEIwN8iZzH40cPyRc2ZxbQFKvQgu1uksiXI/dAwi1sos pkOL8AUE3i+jKBEddiG941IgqsiEJ+jRZQIfZGJzCi0itd+MsjEcaiKblwYY38yK6IHOXrpOylhx aWOuViVnX6AwhW4wiKCsgH1g0mjur9BPHvZO307LoxXMwMroaR6VfvKw2hpQ4KNJELJAzjNSRwPR CHN8ObAbGdIl6DslMLSIKDteBBqYpwTFhDEaGJ3rAl31QmO5iywIfKPbcCQw01mH3endvMI4ZigS k7Mm8Yo3tpQlyog1e6pxQMIgHETGGQAdypMuXyzSPtpZYHgnX1AzxBbYP58i9Yvyt+xBtnZ7Mteg nQ0Gx5rBFoAnCsxRa3KnJXAf3tRZoYu1KJUvSE/v1ihj7XLdE1ex4SAzTpL7OE6z0qCBbQzbgIIe oyKrx9p2poH1z9LjQ4gSrSHFCOCvWbFbrmcdklIY5bxa/+oXwZK8b6ekAVx86kCzzfs5Iz1K8XEt ZrxYq4weOxtcA9QlGmeouiWzwjbYJNsKPo9LjqU9q99gu0UGwhMxKTJrMj+qbVZvxq1MWex4tgxi GreBDuxm56IBVZ5tnQikkWcUotsz57ckrVOTPK4vEaSq1crwBJVmrwUeh77YLQM602ajhj8Mwfmr FbDxIFJOK9IfjpAKk34QV62TIVxmYI/mPhxKO3TwjEVpdmMOLcRowIjcNI44ipS1EN81OuSslLZH 4TooE9WCgQxjIW1bom1tM4Vbp7sGQi7CIioQYJoR6bMD1yC4i8Bhh2aFcHr8j6Oj1QLf9sbpckW3 zSakcGiabcjFHI23liXXjCzyFonMXEkFDWeLwM8ZBPqDw70xEr7gsB3na0RFTTtdaJFlJU7Yruys ncSXJVKJjAzbM1+y2FwkfJM9Pcq2a8e2lnm3V7HIbXu07SLmsNZo/tdBZLfRkf438J0QXMhjUkTr JalDJBPbxhI9FRQTjIk9HderSL7FemdByrstNAWMvnXwMqE4em10NihSn3LfHwRvT5dL12JIUnNg zLz02NRtmBB4HxqlSpn+QbazggPwvwZyMsoMBNho8FK9Y8zqAVrLBiIe/P5xHcySO2QlOxEODk+f jU3t09vlNPi9Ghyr6qV6+W/ofEVqWlZv79L283A6V4P98Y9T8yWOLj48ve6Pr92YvXIfhsHEssw5 l5GsGDNB/UM5tWER0BErcCYZjOxB/vZ0ha4dBou3j2qQPH1W5zZrkZx7WNnD6aXStSyyEmDau2zF Xvglr7sPXNo0QuQxQDe0BPf3SHGageAOZvkpGkI2CeDIJAGWU+jJ+Vti7lc9XpIObXrDoVKR9nwU p9sezM1DhcOW0aLwu8xhPLJoF2pgl5G2COg1MLok0hk3Thq/ZdZCjKnfpSRZ6Cm1AGirokclW2eU xiPHrBKADu+HL3duuC7XnBZb9WYjogUdbhItslJewY12+MA1cq6Vpgj+joORQZXBgwybZkxpqO7A RgvzEl2gE1ZnIMeCOr86/OOtQgndpXM4PkBcx5DyejRCOcwYTuLZZmGQQdLh9WXhg0CziWeFX2ac 3C87n937RRFnBR1T7VthnH0iUl4Xu3m8LdcFbyurqAxvsj0uMVjgAb7uW8foUU7f1ukcHmskxJnj 2du+w2spQGKCf1zPMpauwQxH9L2mdjm6Q+/fqOhY87YEnX//vOyf4ToguR5P0fmSKE9XWa6kkCCK +ZwpiEWBdreZsZre0l9uMinKHjogtYVnD4242d3nrkXuM1+MwuiRHy4i3qa5fMjZiIny3McIHuI+ LgNNyZOmWjie/L7A4ABRqidSqoE1W9aNxKU3m99j2w518IsFiF9F+Ct+/YUkSurpj5eFWBEuey4O iPWTgN1csn/xHO6kmmiGwGA2ti0yQejHCcXIrEjwGrNO0aJrsQxMSLiMRzD5Fv26dk2lrg2yA9+W NAoCApfiW/8016FF+XgCWCItia4njVJRxgGnVsbrVa3LqiHyGiKDIHGwnVIaHhiMVPwFWaLzLome Fch9VsjEl/eYlmO1kCoTlZw3CrubV37m+6VN8rsq6Mq1HE8PLa7Awh0NvQ703iGZu1R30KFLfzu/ QT0Tipl0XbMLEuh0gaMhB5zq4W5bqGWTFysJx+dYh3vdltg88KcezVOlwyXf6vtWXtLND5PcnQ45 w4gW63XGk3vWtttxAHvbba1aYMm2LjbhjR5v4/DMuaqhhpqhRY3czgf3qVGuiBaYbaVLlqEzsToj LF1v6hol08B2xxOTjsrAH3l6JDMFTQJvajOTlPrb8Xg05ZMktXTF5i5S30eruWPPdKYk4RiPDIis 014sXHueuPaUO9f1Eiqqm7EZ5Y3n97f98c+f7J/lUVUsZoM6hNnHEfOXMPq4wU837efPxnae4ame Gp0XDyLQXxvUSJNtoQuOEoipSzpjLGOYtPUPCa/Mxci22JBmqheL1LWHbSoulRb7CU7p8nR+/m6w KFp1gXH2OLP5GjvxpL1EO7vlef/62uV1tdrHZLmNNkjFpPo0h1VjM2Cty4w/lknBtOSEbFJkGcEB P4v80iTrGq+HcOUbCWgmGa6IH5TxJi4fekf0FS9ryjRaPamblvO7f79iXsDL4Kom+Uaqq+r6x/7t iql2Tsc/9q+Dn3Atrk/n1+pq0mk75yCui5jEWKLj9GFNzAOnQeb+Kg56FjOXthUm0bdzQ2MJ0C7p 4UAxiKYQ8QyToegXFtt+gBPXx9CqWkC4xv7i6c+Pd5wEGcLt8l5Vz98196088u/Wumu1AsA2XZVL aHFVChrtgeLzLEl6QuXQguswL1kvXVJsthJ9XQmjoEzu+rsC+B5vPlIsUZWwOPne2duAyO96fGVJ sXKbk7AHtJN1dC/9hYNbn1sfijJQwhbTcJj6tZ78Rgw3mOk/qmE2DUqlYEj9bsxtAO5U9ABSQxNH VMp0qyihLeODyI0sQfYtUAOzAIy+78N76ewPUDYYMbp74xe3lxUZngPu+P5oSN9Qt1gJU0ft+Pj4 sPqW5rswNzogg3MuscJdukh5Lnorw038vey9erb5NKAdgOHaPN/V/WknP3jbV8crOWl8oJcArct6 OoDxaUgWrXa5dsAIQq322XrefSORtc9j47Z3L+H8NbmuicMp1C7NNlEdk/2rYn3B8mp0k56PPFrW ODipciM8ThOPn45Tm8f1tlbwsH3KMV49d5mmwjP83AWsdT5i8rDYoNIwLr6ZH4WY1E6hej72afw8 BIHYE2SCuxXI1jDybkdDCYhVVG7NqvJiLfiAQohN5yMzlKbe9zkfAGkzZ09qZAxN6L/bFqhtE7W1 VBCUbfn0chupVDHR9ePf8/l0Of1xHSw/36vzL5vB60d1uXKe1z8qSuwGHmY9UZcCzMDHRsgo/YUW oj6GGblc62eBVmxU2f2en6u36nw6VNdGmGyS+VGMKn18eju9ynycdZJaOBigus63X5XTa2rQv+9/ edmfq2fcH7TOZqOE5dil2c1rUDe6N+3Ej5pQbO3p/ekZih2fq97Rtc2Ox8ORfkj++OM6lRC23qb3 FZ/H6/fqsicT11tGPSpV13+czn/KkX3+szr/xyA+vFcvsuGA7SrcHF29q3+zhpo0rkAq8GV1fv0c SDJAAooDvYFoPPGGdFUkqH9VemuVjRYVyBl42/shjf2oZGvbwBB/e5jLSN/Eq0DtnF1jSNpyhTDK do8ZSOC3shpwFwa6UkbHPBbuyKK5tHX0bP3Iciu9arun6iRN9DDbHVRh9zbrb8QoemAsGPzjy/m0 f6GH/bKT1bXdY6q0OX2zDM3A9awATVCp7otQw+jEDgM+zLJMV1SvYriQi9zXVCUgPaGAhvlL5nqG jzhKQuCUdRzhGrpMUUGHHFRQcxEM6l1j9DBouvEQfJoX2RyEFk6svssDGZ5MG2QNknJX/xfUfakB EpFS5GkM0p2I3dFYV+/OQwznM3RsWYKYl2VJOI8Fa13rg+ATJFq8Yfghs/ZmGd6tPs2CGIwOZlwT HZU6w6ikhUnXj+FE8/3TcMXdxJqwGBF7ru7oY6A84olKkTanJKRFhsO+mvWQARomCINoTKPkGtip w7vQ6MWEIgDO7lYrhvcL+LvQc39oaNQYcvBN4PV0bx5vo3CXpqzoU183NsGakPe9yONVklElvNr3 b6fnPwfi9HF+ZjPZSOtbfHHe5XE5Gs5Y1sBW0lKyHyezbGuYnEpjkl265NQ1zXVtpiduqatRj5Fa XTHMzJqzaKjPmMPpWr2fT8/c4IoIjRcxkDc7LOZjVen74fLafTdQkb0+yc/ditweFExe6BbynREA zASoYprA2nSINNxyEIwpX8csrIO5fRxf7kG80O7St6tVU1p2ozNhAubiJ/F5uVaHQXYcBN/37z+j KuB5/8f+WXsyUwfIAaQuAGOYMn16mxODQas8GufT08vz6dD3IYtXYtE2//UWBu3b6Rx/66vkR0WV 1u4/021fBR2cREZHVPMNkv21UtjZx/4N1XztJHHa2riMtiq0R3v+sCT392uX1X/7eHqDeeqdSBav 0wI+S3ZoYLt/2x//6quTw7Y6pL9FPRojwNz1m3kRcXfSaFsGN1vC6K8riHyNQVfHilAVBpE0UJkH DgZiLnw4t6wO3HycqsFwzLmux58BtyL9Typ1mbxcebbHvTrVBYpyMh27fqdbIvU8/XmoBjcmAjpP uaFgMdHagY19DlJdRhJuYMAtuFejjY1uOqyrf+HHTuXkuH13g+2CGVeUSjcUXmvxtOnW8Pg6m63E OmXN0rHgHUqBWJzWXyuo4VCsO0uw6t+5YL+h42qaF2is2xZx9CLivpMfowY3xY3B3TonUyZ0ZfDu pby9XW0Td+j1ZrSSeBWTjJmvWerbOrnD76HV+W26Os/SAMj1ixRZoe9M2Gytvqs7isNaF6E1MgFT A6BfdjT7fdn8zg2NOS4bBN4IenBoxW7g77YinBo/Dbl8G/yGCeK1+1UauI5LbCj88dDzOgBaEQJH 9P4HoMmwJ6QW4Kaex0eNUzhO85ZuA1g5Ih0CaOR4bPys8m7i2rpjOQBmfh0y499X/7Q0OLamdqHN C0CcKRHnAQKX4p0M/9yGCuWkvnA8nW7plyoWLzB1rvw2d6wtIrXWATaZ1LCb8Ay3asuyzXpuHHSl gnPW2YlYC57llkRCwIQRW6PxpAycoR6MTAImZKUkaMrFj4LjxHZHJIwc3rWM9M03XJC7Q9ZrXaoz 0NYHLTpGFu3jyl+Pid2BlEU3eGzWvhla+xIn76cxvwS3Ahtjym8YQHCEWay8cmRPaO9EKA/wNAtr mwmtxlJWZU1sfg0lWsAm5s9sRKdwom97iWAzH9lWD6lt4hxDl6KvPOlvfdvaNoP/V1Wi8/PpeAWZ 70XbUsjOikgEfhIxdWpf1BL4+xvIVqYvexoMzQtsK5O3H/wb2lCbMo6/qQ0NvlcHaWcoquPlRKos Ex9O22XN+cnml6joMfvKj2uWRiP2PAoCMSH71f/WOjY1xBaEbq/+BtuMC3SJFIucpOTJBdH+PU6m xL2qM1YV92D/UgOkjlJF0iYREJqzT8kh9U7k0bqk0ThpsfXrJJWKugpRH1nta4EI0lhbGaJMJTh1 PxR501I7ipv430EahzTtAo+r16nWoyuKAuJ6UhuAJ0zPGhmaac9l6QIQQz2DN/z2pg5aluhu/xLq FgQwmtDPRtMRHUaYZyWNRh2KoRGaKR05LhtMFFi9Z48N5u9NHC6ACrD+4djxDOYILXvemD8sFG8L fV7N8eUkt2Ty8nE4NPn2KLeqY4XcDAp6cEoC5qwHOiXbWwehRtIFZSx1rv73ozo+f7bPJ/9EQ7Aw FL/mSdKoKZR6aoHvEE/X0/nXcH+5nve/f+DzkE6+X5ZTDibfny7VLwkUq14Gyen0PvgJ2vl58Efb j4vWD73uf/XLWzLSL0dIdsnr5/l0eT69VzC3BqOdpQubZPeUv03xf771hQOyUs+NQ+NDi4ciAwmd o8587Vr6M0sNYPe8qoaV5yWKEefjcgE3XHIM9Y9fMd/q6e36XWNxDfR8HRRP12qQno7768m4fc2j 4dDidM+oGrBs/S5VQ0gSWbZ6Dan3SPXn47B/2V8/u2vnp46Ke9SwlWVpEwl7ic9GFh+JDHCO1ZN1 hzhTY5K+ssfhvhQOy4mW5dqhQSTjscUaJCLCIYvWGa/iNLD3rmjXeaieLh/n6lCBuPMB80doOTZo OWZpOROTsdUXs/Mu3Y6IPL/ZxUE6dEb6wupQg34BA4Q9koRNdCY6gvaoJuxEpKNQbFlW/MXwlRGn zDPbpZDwN1hJ1zbuXestECW/9H7iWmwIOUBgaDztqMtDMXX1WZGQqb4Cvhi7ji5uzZY2eWrF37o2 Ikih/IS++gCIPRoB4erB7AI0YPfo75Ee7HqRO35OIqgrCAzLsvTo840wIhJnatk0mhrBsaFUJcp2 tJ7oKozEjCyh4DlJRv+b8DHp3A1Q5IXlOeQKWXh6aqZkA8s2DLTKgfkAozLYEUJI9OlV5tuuxd+N sryE9eX2dw7dcyxEarMW27b+Eo2/SfjW8s51SbLLcrfexMLxGBDdVGUg3KE9NABjh1uYEmbfG3H6 EYmZkIs0gsZjjrgAM/T0kIVr4dkTh7jPbYJVgjPMXQwlytWGtonSZGSRK4KE6C+Rm2REdHOPsAIw z8Q/i+50ZXP09HqsrkpLw/CAOxopUP7WFTN31nRK9qjS9aX+YsUCDdWWvwD+wuvrsHRUZmlURoVS 22lqrMD1nCHPhGqGKBuTp3zPRQzXG6603mSo0x1FGIFCa2SRuuSkpnD6zYOf+ksf/gjPJScVO+9q RT7ervv3t+ovch2R1y2ax4cUrA+657f9sW8x9RvfKkjilT653TJKJX1LmK2H++DakT1onAEGv6DN zPEFJP9jRUdRZ1TWbpwaUnrJF+u87FV9o6V+kmV5U6CfCB7EXPCl6mHwna3PxCPIWtJj4un4+vEG /7+fLntp+/XVxNZRYupMf/FqEdH99+NaifD9frrCYb1nFfmewzKfUAAb0JXOcOUb6r5deNMzDiYE AcPiWFmemEJoT9/YfsO0UrvfJM2ntsH2emtWX6s70rm6oOyiTf5tKma5NbJSzuh2luYOfbDA38YV O1kCK9X2QJgLt4cpmRH+coscCXGQ2yjFszeYxNblbfXbYId54to0GGkqvF5lLaBcTulbc0CjrzrU OCG9IR3GMnesESffPuY+iFOayqIGtEJpcy81V+smZx7RjO7SVQx1kfW6n/7aH1Cix03zsr8ovWBn C0q5iQo1cegX8o18t9Gpf2Y71OUwj1cc6RRztNMkcceLuRGIdzt1+3KPbqE3PSiohhP98Nh3LRoC YZN4bmJte40hfzA9/78WkYrBV4d31GTQvdjdKWWU5oSQk+3UGtm8ObZCuvyDVpmC3M1lBpEIzVmx BI5vEfFfQpyQZ/7MQJqaViWJAgY/d3HI2fAhJsrnZmHlol5GvMYDSyDR5RlLeIguMav1QYfkUTGn EOnNVecgvRFMGu14R3/iRQo/1PlIDKju017vBcSpbJPLJAgDamF2Q5b6872s7z6gAHR/mZep2e7/ VfZky23kuv6KK0/nITPHlpfItyoPbDYl9ag39yLZeelSbCVWTbyUJN+T3K+/ANgLF7Qn5yWOADR3 giCIhTx3easHRKfVLRsUAHHkNDvtXRLRFeH+cffKRDUrbtDmzKxaQGMirmD0JSoEfmLpC92yDdaf C7kcGXpguapic+VqTFDIpIQZ1S80lmkX4bU0MecCFGsCzErQuZ1qtrm4Oynfvh7IaGYYgS5zqo4i 4QObJMojOP/sIBOBTJpllgqKjIFk/DTB5xj6FCOcVVlROHYJDBXV88RhygiEQMN62sKJeJXZn+Ga ipLbaXJjB7LQPbpVsdGvJ7vF+a1oJtM0oeAdo/3qqXAExnoF6zBv67c+TkSeL7JUNUmYXF2xwgGS ZVLFGT5YFKHp74YoevfUEUbszhkIO+M0ItFs52zink/dwWEtEONDjGQDHRl5HuajZhVixAenDCx+ 79iHd3swDYsssoy9W1ATRClsQ8yE+FvG46EwwqGmwAoT52fP82wgviiXoTA4mkYUugStSV2fHPeb exJQXMZSVmb64SrRWXfx+cfJA96joB0N62oJFPrJ45f9WZnVmL1Sau/XkS9bItPhmStk5mWh7HgY 8ZnKiIXRQVoXv4HbdfB5xVmM9+iSCvM/S0rORHeoreJrY6KodIpff3q6UtEozdBYaDPgHFdV477e ekgyKmZaSoZuybzovpArw8WYkEERhXOu8Fmh1BfV4seNrXO8gMuszmPzikxFF2oe2TYVmOJ1wIy1 N5zFli67M9YTM24yenQaZWU7BXDGNen56ekpW85Y8MtZyQZ1wdgq0Ltb6p+r+fANoZMazSzmn67N lFYIbI0tDQiasY8oSnw758jUneIvPMSdQss4SuxU5ADQ3FdWhXVikwID/p8qyS0ciZGcLRPBXuEh Tb98EJGam1qEVna9wWwe5Cw4EHOMkGWF2cncRLHdzdo2cNXPnDv0x6YDwBjmlcCLE1yaZiXaVZVm WxGUlRHMgzSSHKtbFEJNttpBmgC9A5osN3DolNsgWLsXGi/TaYjWOXcWxch6akASKO7ykSjsgF+B RGMHY+iBoyLuQBHUEazNtMHk5gLH2HbWfccHONI4Cu3Bt134X7eomzqrLDduihmpwc1aFOnYeGiK sW5pbAVcZ5iEm1lSNSvjsqwBE4MCv5KVMc0YoHVWXjTmRGuYBZrVmNbACnYtAcTaP5GjrE2bwRTE AkU6T3CQm/tH04M/VbjEmMzXLaISrFnArKQEzvbaIJD/iUexiMoqmxdsDPCOxglL0IGz4C9gCU3c hevtrZ2oV1pqP2zfHl5OvsHG9PYl+pNYA02AZeuhb6wZzFIGd4GKs4YkbC7mCuPpRlb8IEIBb4lD kNwH8FIVqVmrI0DBFdz7yfEIjbgVVWVUCdLVrE2uYbmK4Z9uVQ0Cqz82BvOISu3uD82rVMJNe2qG coAffUy7D7vDy3R6ef3H2QcTjUluaKQuzj9Zi8vEfWL1bzbJp8vRz6esEb9DMnnnc/7pzSH69BtE bAwrh8RgFw5mYo+sgTkf/eZi9JvLUczVKMZ+ljRx1+ec6sgmuTwdKfj6fKxr1xfXY10z38sQE5UZ rq9mOlLU2eTydHSOAcmp5ZFGlDKK7DK7qs548IQHn/PtveCpL3nqKx78iS/Em6++5bwOyCLh7Gcs AmcFLbNo2hTuEBOUD9GAaIxrUmQJG1u1w8ONvbJveAMGxLq64CMH9URFJqpoJJ9PT3RXRHE8opvo iOZCOSQuARz/S3uGEBxJjB4b2sNFiLSOKh9MAxKZLuwdBqSkZWRGUUREXc2sZ6Y6jaQTU7uTm7Jm bWnaLOFU24hu79/2qOn2gr1QGifTixp+w1XopsY4snT48oodHTsfZgq/AFlrzsZHxbwWKvQqaSXQ FsNWAIgmXID4q3TCIP4lWtZaKk1USeq8qoikJc50JPxjQoucsVkn0B97IYpQpdDOmuKu5HdwEQXp 2o4e6BGZDfBLmEERGDaNN+zyyJGTlTm7lShHjCRSDLe+UHFu3jhYNIYbW3z+8O/D193zv98O2z3G A//jcfvjdbvvz/AultowwGbkorhMPn/4sXl+QOPMj/jPw8t/nj/+2jxt4Nfm4XX3/PGw+baFlu4e Pu6ej9vvuPY+fn399kEvx+V2/7z9cfK42T9s6dlqWJb6Lrt9etn/Otk979D0avd/m9YutL8oRBX2 Dq5HaZZaIhyh0OsQp8mICccqTDQp6hTM6HHGRhppR4ce70Zvfu3uu15Qw/Wfdfoxuf/1enw5uceI 8i/7Ez0bQ381MfRpLsyA6xZ44sOVCFmgT1ouZZQvzLXjIPxPFlauKAPokxbpnIOxhL1k+eQ2fLQl Yqzxyzz3qQHoly2zhCEFdi3mTLkt3JItbVSf34OCVXGaDJtc3VaFaLrIVjbNfHY2mSZ17CHSOuaB XMPoD2cc3A1BXS2AK3tD0/r26xvW29cfu/s//t7+OrmnBft9v3l9/OWt06IUXrvChVe0ktIjU5Il DJkSlSzCUnjEZWK9T3fdr4uVmlxe2rmXtUr97fiIBhP3m+P24UQ9U9fQpuQ/u+PjiTgcXu53hAo3 x43XVykTf8ZkwjVhAYepmJzmWXznGv65e3QelTDpzDSW6sYOVe6OyUIAW1t1OsGAzOeRwx/8lgeS WyczLnR7h6z8zSCZJatkwBQdF9wbXIvMZgEzZjk0cvybW6ZqEBvWhZmEptsXi27cff6BmZKqOmGa jAE1V96KWWA42JFBtUL8dVyRA97q8beBK03ZWQNtD0e/hkKeT9iZQwQrU3Q13iJ7Hh/OIBZLNQm8 HaXh/lBDhdXZaRjN/A3AHg6jE5CEFwzs0mtIEsHypvdIn08VSXhmJtno9stCnHHAyeWVzzkW4vKM Yx6A4Kxae4Zz7teAGsMgm3t1rHNdhT71d6+Plpa+3//+YAOsqSJmbrI1Bh7y6DvEkN/LmTyRKLgZ +WxVCpT7HXc3A3fJsTaAc4qCjvebOf1a2Iz++rW3TNIfUVXkKvU/KBN/7VTrjB2TFj4MiZ6Fl6dX tLjqPI/cts9iUXG3ro6rfcm8iqYX3BEcf+Htdwb0gr+otgRfSvsA1/ZJIIa/PJ2kb09ft/vOUYrv CoYvbmResHYzXXeLYE7hFb0JI0zLybxBIty7zIVIuPMDEV5lf0UYElmhyUd+5/NTqAmk95krPv/Y fd1vQFzfv7wdd88Md46jgN1cCG+5nJGi2puggeqd5RAF7SI2ShojYbYSIVlhxafj9hXCO0YLglj0 RX0+e4/k/e5ysgrb4t+WbZC6579uUQtOQBDlXZJgJj5JOgHMcGK8oQzIvA7ilqasg5ZseD8eCKs8 Mam4V+TL0+tGqqKKZpHE5zz3LS9fynKKT0wrxGJhHMUn2ElliYpIHkupepbKMqvBVzOFCWr1Sx6+ qVEbnMc6vezRM+kbCa4His9/2H1/1jZ594/b+7/hRmqYWZBy39TIFJF5L/Px5ecPHxysvqcYI+N9 71E0tAYvTq+vLL1LloaiuHObw2tpdMmw9TDUfFnxxN2L0G+MSdfkIEqxDfRSOOt4STzKROIoVaJo CkxXYpv+Ce+5ta8BBAGMeWs90RShKcBgHl8F97YkwNi4g98Rzbkwbni9qZmMMMSayO1NK+EuAmyT 3Xry7MpkQ7AHPMFNNlFVN9YBK88nzs8+ALNTNWJg86ngbjrCKgwSNnqgJhDFWi8q50sYR/6jKzPO YCEvbKYiuQcm4EC9DD1QGu8LWk4efsOEh1lid75FwUGP0oQ2FregaH7iwkFUYKgRylNfDNSDzTgI ASz57RcEu7+b2+mVOZwtlAzVXLswmyQSV7y40uJFwT3jDshqASvaaw7GEvUbGci/PJg90EOPAc+C LTnMgOOA+XuI0eKCxI4ZruPMknxNKBZrbqTATKRFpigrETvGAqIsMxnBXl4pGJXCTCWHKXFhH5t2 dhqET/JNInIbrsPCt4AUm0Uh6kVOel4nED+0NBYFmrwtSI4yGtRl46Uo70g7692V/olK5jVDgliM WcpUhqg0SzsEhlDKbWyhPJA0O0qFqwLYY4fQl+Ptt83bjyMa2B93398wh+GT1tVu9tvNCbrk/48h /sHHeAw1SXAH6+rz2ZWHKfFeqbEm9zHR0Ax8mRJz/kXELiriH6ZsIsFloEESEYMYkOBQTg3TGUSg Je54jHxaDoFKJQjqhREttpzHeskbOyHOLCUN/u45HFN6v3OqDO7f5gu0jL80lbAKi4oblB05K4ok j4ADG2wuCmahsWQySmM/h3Peio2XwerprFVM87mMD19B9NOfU6eE6U9z/9ILQqhyM+SxflWgGwac 0xhr7nRAodRhH4G9/40jNAzbPz3D164sJPHPfvzoJDSCvu53z8e/tSfK0/bw3X+pk9p8tYmzeQxC Rdyryj+NUtzUkao+X/Rj34qjXgk9BUjJQYZitCqKVCTK7ORoC/tr9O7H9o/j7qkVtQ5Eeq/he6M/ w4rGlUw3OW4KC6ifTLc+n51OLgx5EOYhh5FFg+SEfzwslAhJ/w5U/DObQhcFtMyECWfXqW4bSKoo hqGNTCKsxIkuhlpKOXTNYwjLAM6JdsN1qj+gvd2cTwKHla4FLFDd6Tyj08Q0DDPhA3iVgFCKNpu2 MGjWu1ZiScETnTxMg8T8uxNHM0caht19t4jD7de37xTcPXo+HPdvT22qkm7BiXlEFlXkCeID+2c3 leJ0fT79ecZR6ajlfAkah4rxGj0cjDtLOwolMzIlccN1897UAxG+4hBdgoan75SDr5BMQXVQCkP1 Rj/R88hUT0s6QzUqwEDAVntNOO8lQATlIpqxuaMJG0ar5osqMr/gOoWdAjf3gLWK7yrPYrcPKq0N qYXusbqvht3wb60Ue8jRXk7F/jijhZp3+23fZvtyDWs/5HFwEcWAYabqUxeGWOcsdBDtajQStxpX PSg6W6dsQFRCwh4ts9Sxzx0qANY0kieHSLSdI5vOSfOjWBh8g0wU2qEDOTKGre526p/gaEcIbc5i fU8/uzo9PR2hdHMOO+j+BX3GpcJxiNH2tSml8GZHn781HlPmAJZygXI4IVUaNvCTTV+qC1klbrGr hN5WXNvVHllwr149Np/PYjEv3UJ1AF+yI/CHFwQxvGIwq3kRzd2MDjYzWArcY776UGPXWYHaBuA5 QBVVKEyKMGwvg67lwrA7nGFeaOe8VpgGopPs5fXw8QTDYb296hNgsXn+bp3XOWaxQ5OJLMtZL0kT j8bwNbB0G4nRC7K6AvAwt9msQov1OmejfRqjh8hmUaeYZbnkpn99A8coHMZhNnfYk67A8sR/t9fa agqOw4c3Skzscxm9JB17ZQ1sddMmjKyjzQniyrbnCIdqqVRupBLCdhqc9F+H190zPvFCF57ejtuf W/jP9nj/559/mlkM0Y2AiqTkIIPNdzcxBebmYrwKNKIQa11ECuM4pqMjAuzj6DbCK21dqVvlbaMu EYK3vXjy9VpjgBdmazJmcgiKdakS7zNqocP3EQbyvwdAfRPcEi9dML2uly32ysVq7kTuYS3J9Xsk dMfQdBdeRVEha7jAgwCv6q60ictIWup3jhN9WYORUu+StXNPt8s+xdr4PMMGRb8OL713twn7CfL0 ZaWcWV9bd6j/Ym33W5tGElhZx5/dq0WL4W3n5JK+Nz8jIR5WCUhGpVIh7GWt/Xtn8Jb6zPbkE81f /tbSz8PmuDlBseceVdFmJkU9AVHpHSF57+xg7xb26k8oco6J9L2h/4qkCpABRSVQ9YzOUpGbG9fi iCMttquSBQxOWkWCHAP0S6SsWWFMMxFZM5xF1tRzznDUXSTdxQ4+oUC83uKzSP5hhSIJyGFGSYYa ED93lwUC1U05qnqhZpHtaTOnJQkXrigLzeVtD487q3Bw6etaMZowV4A8K++qzGBXKQXygfosY9SV cdlksejhgmuckHSnNL1QqP3SZsik+HDzDlDsUKK3HpLgD2z+qg3j4LUgL5RKYA3C1W20fqu8FsD5 Ko364pYCI5da+0CD2u6Nhj21qOhhyMwHayK1MvfJq4BhBw4BJc5yC9X5ZWTcJhh2S9W/WDvllgIT LzYJJpZKQjQytsyp2rUJWEfwpJ3787h9Pmy4zdsKInHQkKxpJ2gOYf3BNopZLWZ5PpFnEXMEaL88 fRDC4QXH99XFsEu8ppgas2p7OOLRgFKafPnf7X7z3YiOtaxRDjc6TQDdBXbgNN7OlKph6radaQZH G4cMNQdr/ZbvotKMwoP9pXVDhlJzBgP1HrW1quka1Zcyfk+AOZHZqlus1ht+UacoPlJLdUK9lE3r hIon9DmEZeGy2hbEnhTvTohnHa31nP8PtdnRNVKuAQA= --===============5821733094955799661==--