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 0191DC433FE for ; Wed, 6 Oct 2021 20:51:25 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id DCCB861184 for ; Wed, 6 Oct 2021 20:51:24 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S234125AbhJFUxQ (ORCPT ); Wed, 6 Oct 2021 16:53:16 -0400 Received: from mga18.intel.com ([134.134.136.126]:19743 "EHLO mga18.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S229657AbhJFUxO (ORCPT ); Wed, 6 Oct 2021 16:53:14 -0400 X-IronPort-AV: E=McAfee;i="6200,9189,10129"; a="213043526" X-IronPort-AV: E=Sophos;i="5.85,352,1624345200"; d="gz'50?scan'50,208,50";a="213043526" Received: from orsmga006.jf.intel.com ([10.7.209.51]) by orsmga106.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 06 Oct 2021 13:51:22 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.85,352,1624345200"; d="gz'50?scan'50,208,50";a="439264025" Received: from lkp-server01.sh.intel.com (HELO 72c3bd3cf19c) ([10.239.97.150]) by orsmga006.jf.intel.com with ESMTP; 06 Oct 2021 13:51:18 -0700 Received: from kbuild by 72c3bd3cf19c with local (Exim 4.92) (envelope-from ) id 1mYDsk-0006uy-5v; Wed, 06 Oct 2021 20:51:18 +0000 Date: Thu, 7 Oct 2021 04:51:06 +0800 From: kernel test robot To: Lukas Bulwahn , Dan Williams , Vinod Koul Cc: llvm@lists.linux.dev, kbuild-all@lists.01.org, kernel-janitors@vger.kernel.org, linux-kernel@vger.kernel.org, Lukas Bulwahn Subject: Re: [PATCH] async_tx: correct reference to ASYNC_TX_ENABLE_CHANNEL_SWITCH Message-ID: <202110070443.3TehF4t5-lkp@intel.com> References: <20211006093416.4750-1-lukas.bulwahn@gmail.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="HlL+5n6rz5pIUxbD" Content-Disposition: inline In-Reply-To: <20211006093416.4750-1-lukas.bulwahn@gmail.com> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --HlL+5n6rz5pIUxbD Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Lukas, I love your patch! Perhaps something to improve: [auto build test WARNING on linus/master] [also build test WARNING on v5.15-rc3 next-20210922] [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/Lukas-Bulwahn/async_tx-correct-reference-to-ASYNC_TX_ENABLE_CHANNEL_SWITCH/20211006-173543 base: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git 02d5e016800d082058b3d3b7c3ede136cdc6ddcb config: arm-randconfig-r022-20211004 (attached as .config) compiler: clang version 14.0.0 (https://github.com/llvm/llvm-project c0039de2953d15815448b4b3c3bafb45607781e0) 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 arm cross compiling tool for clang build # apt-get install binutils-arm-linux-gnueabi # https://github.com/0day-ci/linux/commit/feea9903edb75548c8beb73119676b95ca4f08ef git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Lukas-Bulwahn/async_tx-correct-reference-to-ASYNC_TX_ENABLE_CHANNEL_SWITCH/20211006-173543 git checkout feea9903edb75548c8beb73119676b95ca4f08ef # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross W=1 ARCH=arm If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): >> crypto/async_tx/async_tx.c:43:1: warning: no previous prototype for function '__async_tx_find_channel' [-Wmissing-prototypes] __async_tx_find_channel(struct async_submit_ctl *submit, ^ crypto/async_tx/async_tx.c:42:1: note: declare 'static' if the function is not intended to be used outside of this translation unit struct dma_chan * ^ static 1 warning generated. vim +/__async_tx_find_channel +43 crypto/async_tx/async_tx.c af1f951eb6ef27 Dan Williams 2009-08-29 35 9bc89cd82d6f88 Dan Williams 2007-01-02 36 /** 47437b2c9a6431 Dan Williams 2008-02-02 37 * __async_tx_find_channel - find a channel to carry out the operation or let 9bc89cd82d6f88 Dan Williams 2007-01-02 38 * the transaction execute synchronously a08abd8ca890a3 Dan Williams 2009-06-03 39 * @submit: transaction dependency and submission modifiers 9bc89cd82d6f88 Dan Williams 2007-01-02 40 * @tx_type: transaction type 9bc89cd82d6f88 Dan Williams 2007-01-02 41 */ 9bc89cd82d6f88 Dan Williams 2007-01-02 42 struct dma_chan * a08abd8ca890a3 Dan Williams 2009-06-03 @43 __async_tx_find_channel(struct async_submit_ctl *submit, 9bc89cd82d6f88 Dan Williams 2007-01-02 44 enum dma_transaction_type tx_type) 9bc89cd82d6f88 Dan Williams 2007-01-02 45 { a08abd8ca890a3 Dan Williams 2009-06-03 46 struct dma_async_tx_descriptor *depend_tx = submit->depend_tx; a08abd8ca890a3 Dan Williams 2009-06-03 47 9bc89cd82d6f88 Dan Williams 2007-01-02 48 /* see if we can keep the chain on one channel */ 9bc89cd82d6f88 Dan Williams 2007-01-02 49 if (depend_tx && 9bc89cd82d6f88 Dan Williams 2007-01-02 50 dma_has_cap(tx_type, depend_tx->chan->device->cap_mask)) 9bc89cd82d6f88 Dan Williams 2007-01-02 51 return depend_tx->chan; 729b5d1b8ec72c Dan Williams 2009-03-25 52 return async_dma_find_channel(tx_type); 9bc89cd82d6f88 Dan Williams 2007-01-02 53 } 47437b2c9a6431 Dan Williams 2008-02-02 54 EXPORT_SYMBOL_GPL(__async_tx_find_channel); 9bc89cd82d6f88 Dan Williams 2007-01-02 55 #endif 9bc89cd82d6f88 Dan Williams 2007-01-02 56 19242d7233df7d Dan Williams 2008-04-17 57 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --HlL+5n6rz5pIUxbD Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICO4HXmEAAy5jb25maWcAnDzbcuO2ku/5ClbyklN1JpHky9i75QeQBEVEJMEhQEn2C0sj cybayJJXkieZv99u8AaQoJOzqTonVncDaACNvjM//fCTQ94ux5fNZbfd7Pffna/loTxtLuWz 82W3L//b8bmTcOlQn8lfgDjaHd7++nVzenFufpne/DL5cNpeOYvydCj3jnc8fNl9fYPRu+Ph h59+8HgSsHnhecWSZoLxpJB0LR9+3O43h6/Ot/J0Bjpnev3L5JeJ8/PX3eW/fv0V/v9ldzod T7/u999eitfT8X/K7cXZTiZX98/l7P7m6nl6cze9ub6++3z9+Wp79Xnz5fP1ze3k48e7aTn5 14/NqvNu2YeJxgoThReRZP7wvQXiz5Z2ej2BfxocETggipZxRw8wO3HkD1cEmJrA78ZHGp05 AbAXwuxExMWcS66xaCIKnss0l1Y8SyKW0AEq4UWa8YBFtAiSgkiZdSQs+1SseLYACNzaT85c icDeOZeXt9fuHt2ML2hSwDWKONVGJ0wWNFkWJIO9sZjJh6tZuzqPU1xTUoHs/uTU8BXNMp45 u7NzOF5wofZwuEei5nR+bG/TzRmcmiCR1IAhWdJiQbOERsX8iWk86ZjoKSZ2zPppbAQfQ1x3 CHPhdmfaqvr2+vj103tY4OB99LXl6HwakDyS6kK0U2rAIRcyITF9+PHnw/FQwktppxWPYslS z7rkikgvLD7lNKeWNXNBI+b2TotkMILkoDFgYrjOqBEsEDTn/Pb5/P18KV86wZrThGbMU3II Qupq0qujRMhX45gioksa2fEs+Y16EiVKYzTzASUKsSoyKmji24d6oS5XCPF5TFhiwgSLbURF yGiGp/GoL5z48CBqAqA1BwY886hfyDCjxGe6mhIpyQQ1R+ic+tTN54FQslgenp3jl9559wd5 8NYWcGiJFM0Fyd0LaGXbHUnmLeDpUzhqTe+AVgmf8JHH6mxboQFgCmtwn3kWoalGMTgGfYyC WqhDNg/xioCFGPSCvr8Bu626SIOeTFIAFb8x2ewUftq2iVSd0La8IThP0owt2+fEg8B8LzVP 5sTNvGlGaZxK2GRibLqBL3mUJ5Jkj9Y3WFNZDqcZ73EY3uzNS/Nf5eb8h3OB83E2wNf5srmc nc12e3w7XHaHr717hQEF8dQclci1Ky9ZJntolB8LJyiCeEMjE7nCx7ftUSGQQtr3KZj1TP/B hlqDA7wywSNSP3d1IJmXO8Im08ljATidT/hZ0DUIr+20RUWsD++BiFgINUf9yCyoASj3qQ0u M+LRlr36JMyddGyzRfWH7WIWIaiS6uW0RhYtKkh6yAL5MP3YSRNL5ALMbED7NFe6NCoqlvh0 bVmvUS/CC0GRKSXT3IPY/l4+v+3Lk/Ol3FzeTuVZgeu9WbDtrc4znqfaDlIyp5XQU82RiWns zXs/iwX8y5DEaFHPZ2G+QlS8dxMFhGWFiWmn8wJRuKDTV8yXoVWq4QVpY8cXTZmv7bAGZr7y XrrlKnAA7/6JZtb1ahKfLplH36OAt9J/ij2OaBYMODJ0aw2LmfAGQGWQNPvFvUWLIlLzydAr AesGukHfaS7BaxVW/sHryMZwcIo9VMNVSL1FykF20ZpInmluRiWrJJdc8achHgXcr09Bz3pE 6jLRxxTLWYfMaEQ0m48iB9ehPLNMm0P9JjHMI3gOdh+9tk5sfOVb2kXKL1zAzSzbBJTp8QJA Obr64DH/UqGux1BPQtrE1+UcDRD+bYQdPAV7wJ4o+jRKlHgWk8Qz7F+fTMAftqjAL3iWgusE 7miWGJfgSc3pU6Y+Z/70Vl9kVJ83lI2+ALvOULb6t9x5BI1CqLw4TR9xwdadh2JoSk0O9PdA owBOTZdCl4B/F+TGQjmEzL2fIOLaLCnX6QWbJyQKNBlTPOkA5fHpAMK0cIfxIs8Mv5P4SwZ8 1Weg7Q70qkuyjOnntUCSx1gMIYVxgC1U7Rmfi2RL7ShUCIFxa7cIcJB4vRNbeHokCu7xJ+Pe Y5f6vlXlKkFBmSxaB7i5MwSCEBTLGHjkXmO76hxHWp6+HE8vm8O2dOi38gBeCAHz5aEfAr5o 51xYJ1cq0bZEawT/4TLNhMu4WqOxhYYGxeCbSIjbFzZfJiKuTiyi3B0hg0vIwNzWnq85CLBo iyImQK3Co+CxVXuYhBh8gZfg20nDPAggQlImXp0PkdZUAUikpLGyJZhPYQHziBnkVRmPxhOt T9jMbnQCp0VwMHMh8jTlGdggksIZg2rozQ3hCuNIUcRENxiSeIvKdatn0N0ubwEGY4hoXKZw RSHYsSDg5TE3AzMDl2BYFvVOWlZzFT3rwhzCTiBSEVQ+TP6aTO4merqpmd1QS+lcEheOX4XT 4mFWe27K4XTk99eyCjFqFRDnlotRTMVwLEWWgKFiwFkMEfPde3iyfpjeapcBmiyZR5hLiJcf Df9Njabp/dV6bZUfhQ/AJrkZ8+d2B0jR+Hz5DlaQ6XQyeQd/5c2u1zYHuEp/yPup4fvAhLCT NkTbH7d/nI9vJ3jfz6fdN3B6z+W+3NaZ024pGdOocqIrF6GQnu2ZViE4EC6alU1u47U9u1Nt RcZXs3F0lHrTu/cOO06FMVxtID0dt+X5fDw1QtNwCgFadaMaQIZ57PIkerSAQfhTlEgTdTX7 1p+EuBkG2CCTJjxViIjOideb3yPg98GQ1AYeMAmAIsljlYGZXU/62wy6kEYTY7UFQyljgFqt 4DOBG7NdJxD5BpHJigtep888OcTimtG03kIVu93oOAgn0KZiaBfQrB7b6V4qFTYl4JbaUowA Vibbok0UDv03Hde5jxTf+5J6oMshtuWFfQFkMU6NkFdXPVXq5g1TPq+vx9NFDx91sG6xh/ei LMuoVlQinUC8l4Jf1ELDpyJgawgAtD0BbExFAGpmojTEzaSXK7san+VmHAVr21d4gBXMyCbM MM+jOYUolbM6nawJDyWu5luGK7sXo05oRcDrUBaEREWYz6mMtDywSmOiVi+eeEI5mPvsYTrV ojQQMMwt2UO4GtnPJ1lzQ/1brkTkCGTHV9Sm2r2jy8UDQzdKMrfFik8qpsl4XFWsQEiGGFcI hdB0YQzOQkoTcDkLX1rVdOyr6owe561ZWl+EPVbPiABblce2dAVGrMUTus++n+mPxjiAJino pMc/wdDEm8Pma/kCTiUgWlxwKv/3rTxsvzvn7WZv5AhR44Dv9snUQQgp5nypikmoOUbQbXa4 jwRXSfY1o0I0KVYcrcWNI3pyOISvwBEmS/q3k2OspxIP9pO3DeFwu8CN3XW1jgAcLLNUAc77 o/6D/fb3acO3u7Oew9hm7FfYbUFLMjtf+jJT+zJnQ3aqEzHFo4YVKbjVPl2a9svNvFhItyBL 0dCaBDEYP3CGF+1M4cr0eOLiE4idhh5xXmIwQyJ1aZY9pqwhHzFLwouZxk47yyeesU+2sXr6 2vK82lNkz3vDqVYegh/R0bmqATpk8LDVfMH+uMHkuPN63B0uTvnytm9K8wpPLs6+3JxBURzK Duu8vAHoc1k7pOWzbmRHp6ycIcXGS8uGpoI7FyMXqCLtit8ePBoR2JjDXc+LmRjBGrem5nqU r+qYdqeXPzen0vFb4a2OJ4sb58M7Hi6n416VHrpTdhgG41824MODG3g5bo970/lTIgMxmeQe j0wRViiVhYBgMRFmPGgSxGLel26FbAeCnWWRy+2xyIAYLavK+AxnVBqlLk1ape//dSQmL6lx Ij0e0vd4aHyXPMsYRIx8XWQraZcY14uvP67XRbLsuZktxZxzDC8DlsUrkhlvraqEll9PG+dL IxqVXtNfwghB+1D6QmVu1QOFI7ntwkSxDMBRjsFLDlKWiLaq1+QtNqft77sLvExwdz48l6+w oPnU9FeBLg/2ToD7BA7LivR7JJKY9SBqmEpghJxrLmNb1olTpZ3qEvWQQCExK4k+gZ5Lb3N6 YOAkCx6bpPeQYEFp2s+Vt8g6RuHZo5VzxRX4FlkO4dEqZFKlnHrzXM1cpkq4hexNktG5KMAk VokcdD5VxTLtH1Oda9RBylfG8Ta4KllUc6IvN9hXdRdV6c2L07UXzh8sDjdLvaLqA2h6ZCxn IKiHqb93UCD3UVU500I/hRnLlSrW8eGqCK6X7/pbON4H15PKEfitdS1cXwX+Rodbyd/CyEIr 9Eg1ukdlr0TrFDH36+NIqYd5Qy2pzf08okI9HMzQZ0Z81MigwqhsJ8a7vU6DNYhW/3F4EWwW ImdvAdpGL/NxbGti89p6XQ0QpOlb6Wd1KxHGfY5ZRGRUJQDhrH29IoTZJD1tbA3txkounSyl QVIsScT8VkN5fPnh8+ZcPjt/VFHZ6+n4ZVcHE53qBTJLxNNnXZE1PWtNP0aTw31nJYNR7AJM o3wOitSWA/4bXdoWFkDjYOVFT62qwoXABL6eEqjFx7KvRrBkRrG4zhe6anTrKnn7s6oXumI+ CJ80nNF51dUYJZ1nTFrLjzWqkNPJEI2RulHaRsTKtRXOqiFYywhEf6IK2s6m4QTExTwlUX+N qmWxoImyij0fr3IsN6fLTjmnmAYy/EnQhpLhICxUYdhki2Zi4XPRkWrFsIAZ4M5l7K2o7yP+ 1DlR+gUWITxadF70cnHV+Ma77gbNRMNEjFcZGh/URd242QlTh148utRWA2nwbvBJ595cr/Mt Ei0nXZ+6AEtb5Ini3+xGq/DKnFb493DWsSsQNjo2WEeao82iBpGgZb0C/DSLIgYbUnAwhRFJ U7QGmAdBg93Ever06V/l9u2y+bwvVU+zoyprF+0eXJYEsVRaPfBT3RwAqFejrUiFl7G071Ug QzU+iIgcDBoFYuvsMsUm2lS116LtNB6JRgoiZnuQFcVTvUR/pAjBx/XVBOODe00csO3aU2nF auwg1SnH5cvx9F2PBQYuKa5fdePox4benqrzmmIi0ggMXCqVfIDRFw/36h8ji5tRFBLDwqsK gGqtYCQCdcsgeFyjF/cwbUkoHAa4ZcqXWOhp/oiCCsHcuX6ITynnNlPVeLyUZNEjPEWV49Yq aTTD+THNpSnJeZ423dDq2PzNZeOQLRYRnPh42F2OJyP55pPY1ExjAxr8+D10O0qoHOhYv/y2 2+pBsBaukNjV/IfU80hmWIrUiz1Ghmrb+7DdnJ6dz6fd89eyDayV9d1t66UcPsjTVr5JSKNU 7y0wwHD9MjS6nJcyTgOj1l5BwPJWvZGdZ5r4JBo2YqrZm4Cw6jgf7KgN6/bHzbMKCBvRXoFR xzY7LQfegJSo+lhy0RTLGnzcdjVtI90oFTL0D8GKLgJwQ9ye0ugo0WNErWgN6fs7aq89ivhK +QWGJmgPF828n7HlSBNaTUCXGbX3aVUE+BLqabBE1KvI9t6Z8vxzyXs94lhcdXPt5iEGMx5i 9btgM28AE3pg18LiITCOdXPfzKhbrW7GgizjeOBuDgW+rWY9q6dnuDX46ip/DbsfishWLGvy pHMmXBhglBldOYWo1bVnRxC3ZlYndS2pYUBCJljE4AeWga2zIZdRwdbp9XpdUPuKKhtLXWZr WFvStZLOroWsE2ERFbG6XBuvITOvvQa0fYdGZbA54lamEqEr5QR9BhAyEvWAMfbD2hCCQVTf YrrgBnG5u65R1tOIrW10vtTEkwf63+AlMdn/hAbA8Eax0GQ7HcCitcVow5ipslVW1IK7vxkA /zEhMTO4ahwsA2Y8Ax6o7ymyJWg8w9ZXCB6ZdRmAVv7b41gsGGNLTJ1JUckPM1c6BgBiQ7+3 UFC6gb37UaMB7xO/X7B13NdEZH139/H+drjudHZ3PYQmvM9RHXYNTEyyhJBetPXtxmIDtNf8 pkCqZ1HZQv1TCsSEq9iaLVfIgLigUUVvssDrASQ4pqY+0MCwNyFkmNlagHQyCHZT67zVetap Aw9HWQ2WcT6V57k7bzUd2pgFmgjsNYiYuIqWk5meS/RvZjfrwk/1b1k0oGkqdERlLzojlsfx I8q/XTN64v5qJq4nU5tsq84eobvcEABHXOTgfOD7Yb1+6DkNvQJcU7sWDtnt9Wy6vJ1MRtmp SmKcQYwcWTMvqS/u7yYzojd5MhHN7ieTK52TCjazNR80hy6B5Mbsc2hQbjj9+NHe1NCQKE7u J7aCRhh7t1c3M+MSxPT2zt6/hGoOzrGgXnpV2xf7wmNlgjW2D4Iy9wNq+5LJm9W6p4ozIe7n sdGb0tyswsCdz2wf7nXYG31fNbhqXBofFpP17d3HG02MKvj9lbe+tcyHjXPXt+PzMV8Wd/dh SsXaMprS6WRybX2Yve3XZZS/NmeHHc6X09uLamM9/w7O5rNzOW0OZ6Rz9rtD6TzDE9694p9m jeU/Hm17/aaXZ2DMh445cYIBQqpZe+qFRrUMv5mweanpMiWJbi1rQOM6dgGarq6q7kpPsBqi SU/DLyAxe6jzkBHmq74Lm+lXA/ppQwSav4relyUKhp9ogds1MEqKw5o15/L9tXR+hkP/49/O ZfNa/tvx/A9w9f/SMip1TlHoOfAwq2DSAtMCeC3DqfPXknrh2KZbBTrYF/yNcZ+0xyKKJOLz ea/JSEcLjyQFwR705rmrM5GNJJ57N6biALyh3qkL/E57BB4xF/5lHUAsUPyi1/wWu0JlabtC 10XXY/YHc+ur3tezTMFVr5P6BGJwoBgXIBNjx5UHIvT8wbAKrNo+sM1l/DaAsJCs+O3jbGrv mmmpQEzeYaIIU3co5SkZG8LiuHec7ImlBU1T/UuRDiEwSvb0r+mrt9X79glhw8J7RRpatalN J3S+gy4O2P+OoqApsqoj3uVYxMIP7U2Uas4z+EBoahb/KvNVFfkxi+z8ubv8DtjDBxEEzmFz gVDW2TXVfqPDA2cjocfev2ZFweKRvmJEenRpuyeFU103gz3MacwSW2CLSOC7fbqwhW1/b9u3 8+X44vj44b62L20GN650ZjUHQOwTKbLBifgru+dW3R8EOS5JFuMU8XIcl3kkG9xd+s/5S9WN ZUSAivOC4UyMfzge9t/7sw2mqJMAlimaDMiXzX7/ebP9w/nV2ZdfN9vvw46x2B+agtjQJHH1 qZ5Psbhsywz4BVYYiP5lqK9s5mQAmQ4hQ6Lrm1sDpgddHVS1/Ollt0Ei2a1bulE52PI5Fbq2 YXoiwyRQVgjzTUzIbKwpqjk6P24aQIbH6mu6Duh6SkuNDEyN1VDVBa+YJGROM1VRtttOnITh f3uECd0dAXCKDQxCYtK1/hxUXyUHe52xdOQbIb/uoLEvKBKSmv+dAh8b8VmC7s2SYdtE7+t0 nA+PdmwxVasaUHR46gpjMXAjjd9eP90MsJiN/CdQ/FgJnTHBE824AbDG/Tq8+GRPPhk0YuQE O4rQTDoZOMbt/4kTJST2jA6i8sGUWKwZm6nK+o9hg4gs6MhC+E2Y/h5bUPW12GORgXsTYne1 YHMbGcR8BlismPRCA4RfySvhMO/fUoTHSzRL4nWqo07qdP1tHoxXz8ve/gZobImwJqcQmZqu PuZRsDTQ5XKqijSl1Jle3V87Pwe7U7mC//3LFrkGLKMrlv0fY1fS5DaupP+Kj28O/ZrgrkMf uEmiiyBZBCWx6sKo166Idozb7bDdMz3/frCQFJYEqIMXZX7EktgSiUQCdkZ1JiKy+frt75/W rU3diihGki2ZEuiOt4T0SsE8HplZsVFskIIjAqQ8KaZ/wcEZnUumhcPLdfnx/v0Lc13cVnpl NVs+6y6k0kx0CuBj96I4LwtqdQWJYm6VpGI7cBMf0G6dd5nsAbdS5qzso8j3bJw0lUWq8Q5g p7qDxqccMk5vgOcReRGUNWMkHpjz8+ijGLb4bJii6UmCEGTy2TDMQYIuXPUQpxFQguaJlh0s gHlbUEfwyz5mkozMfRkrOOGxyOIQQcYUGZKGKAUSF70STLfBaeAHbokxTBC4ssbZlATRAcpa Nv3eqf2AfAQWiLRXMve3QZtsTaCm0OvstrqNsh6wMbqebt7pTEjg7DNMLvoFIKOxuqY81nQ6 F/eVXMUgY3fLbvwiLZAZH3xsv+9M4tLauhs5iwTcxSUj7mGF4y7MZxL7Tnl2dE4L4a6J/Xns LsUZXh833DTaqlEMHZlBs+cdkvV0zE5Ae+YFNid2PqG6ZlOiXlNbKTNVM+lKCzGCEqKWipV+ oxddPkA7yg1wOvpQ9nQp7y3kGYMcqnE3Fe5GsBhMOxgySwykDUXqkq68bQn6fW2oEZcFUIDa 2ONrrNkPoMPYDXVjQRdkw8HGwVTjb5qsBRPnflfdAN19UzG5FmHrzmXePDt1vtUl/QGU7fVc tedLBnDK/AC1U4arooOrMl6GvDsN2REagPeuRiIPITABph3A1/YkKTdPtCvQhRMBpevJ1DNf 9h7uzXf2rMYi04HPt7qGOsmR1FksuZCKYciv/0t7J/F7Oc+mJS46HJpDm081pBgqODiYGP6K g5mgpWmP09ib5q6lcwfIlZhaplmZoBA2IC2Aoa4atm7ll3Hs4PskC1JctM96XhFrFXKcIVn9 WZS7YPJmkYWpek5JEkceXD/BPQTzmWZcF8CMmU3pwY/E13bBFihI0uBeUSMfTJUQs9xcvcmr qlevAkjMkg4PeAaSQFcWm0JPu+ipMO0leprGjwedOFQndsurG+7y0PjjxZ7k2JM48lFqR2RT 79Pe1FdPOudi2Yr0xTGNEujQbuHfsFWAjMdFY/16eEq9aFGrwLYZOhYTkJ1rdCWURZklfuot 0rLvmcrs4EW+bRRx7l4Xu1FtE7GBCMkogya5dYhOTRBORksIsnr+prKUQzvBovqQHx+MrsbV pDgzS1bgLPAsF+iXug9Xn80+gAQhZBzty5rjkhVnFoqfnPBbbjZletnOFj67wubuQWTscV0g fXYZcB0ahgVOpAIHEuMs1ReOU3CuUY5eYFL42tBpdL9cTlp1PEIGxdcpgWdQQoOS6ZQoWjfY 57fvn7hTY/1r90E/nVMLy3+yv1UvIkHus0FoxwqVecM+4VonN3XeE8UzQdCH7AaIfElKHDmD 31Eis7VZPCX410Mxa7FXVH4Pl6hr+oIyCRxcbpHIpQ1rZ+pic6ymfyEWtymmaWlBjxbK3JIo UkwWG6eBHQ2g1t1MUpDBSZh2/nj7/vb7z/fvpqvQKBvqrvLxdEd7cLPc0RX3j4mMXAF32vkm 0bYaUeSdwfztS9hafmnr6UAXsPFFmTiECwgnw24uJdWs+JkI8/g1D+/fv39++2KetCwqHXcJ 1LTghZX6kWck1/719RfO+CHS5T4BgOlwSYONlrlvPAT7C6kYpA4qhWUKW6uAuERc4Vo9DV0T YhoeUMdF8xNpWwfEBuxLaAJVILQ7qbcwFi6uiEUHXQCQEUzHuEwhC4R7De8C5rGAPPfWsmZT gDwPqgXnOMtoO9W9s7c2c+Eu2TA29ehsFGa9L2oX4kyY63LggwbAVfBqNNA7ERrMqxyIxX1B sK9jaovdsyCY7cZeJFIf6yuUr2A80mHpJn2sYV/ABfHslm1RtJN9jeAIFNcksQQHW3tbjfNq KDMw0tWCyQscB9MEVHfhQPXVxp5YSj+O2Yl1HHP8q3zrbGLBzfkL83e1wV1Z8mTosOH32X4L HaA8u5QszN9vCEW+HD4LwD7QAfBE6KqQwbGsBWRxcOwJXAOV7RoNVBGY3VlRbQWafofigbal oHaYhQCRkQa7J9D07tw5pm6PTTUtNQVTuSMeETD9VU3stnRZn+qCrr5gnMplrNCtDYEkIBj7 QsBVO7+iIIKS6AdLMM01C1uEvzXta5VfjPYzZqwbfKa8sOkYd+ZRN3mVsc02AVXEddaiMz7Y F1cGDytm6wobCGy91bdKVYh0ORfj0GgnQgurFW6EpXIu187nspG2sds5hKJWytTlFgYwmtpL w/UHQDzna7HclJI/4NTCoZJwT8oLAToNv9vFqkrzY+IE0uABjOXrZ01vzpt9r5x3Cjc3E1b3 PKANi5s8aFTmJ6bFBBd07j/Lj3OUffSdx5xEQE2aY0QIdGFvP2aFXhj5mFwQ6NqqkfjzJ2V3 MvNnO3jjEYgFkZGeXTF9KogA5xg+DGr7ArNN/i5wSTAfQdi9XDlU53tnubli9NIvcQXdMxsL +qeXfIU4gT2kZLgucLotiZqoNgaJOBeDbJ5cObVfrBw9E87j+rbFTeKOonN63Vagl5QMay/X TjEaMuaVVpy5DU0vQLnHIHjt/dDOUe1bBleRBl1qmxd2f61oFD1jpcsy2LAd3P9EK9Nt64Uu LsyLV9wEBSdDc18sfBT8AnDYUMx1VGb8sI/KV3ES463Go5RAnZQxeQDoq5oUvkyr+Qb//eXn 529f3v+hhWLlKP74/A0sDLv1KOwQNMmmqdpTpReEJssRlqIItshbIzdjEQZeDCXYF9khChEo exXzjxtTt2wGdmKGCpzfKLespDSgYuJmKvqmBJvdKWM5l+WKMbMuqDIiWLl+yZujOXV5PZpE Koy1cVlmmwVHj+Uq51tP0bk0AwvzjilikP2HXewUi/iHf/3514+fX/7vw/uf/3n/9On904df F9Qvf3395Xdauf/SMxDKtFX2Ysq1iF4PsrzSWKBzHgOIXR+kCttouQLK8dNU27On+x4/DSIX n074Q2e5lLsgnroWNB4ztrg9bAxcNq3oA0ZBlNmVdjnIy1p0SvYGAb9Cry8PGpuLaj+V1Ync SMmhcjN+haurr39UTS9tR+xSdVacOWnTPbUxkSoQ/QkjiVlj2GwjeHTC6TXrvIroelvIc8b+ +BomqeWog7KfKmzMBBK76Qsf9jfkc4nVcMW5Yxw5CobHJPYdU+U1DifX5xN41sLW6w5nZf2k N/GiU1k+6gwnI07VTDEq8wbdlmQcOqtZu2ff2uvUT/ZxL25pWkxaDDDUNaj8MdZTMOnl4HHq kb1j0B0JpnM2uPHk/BqPVWGkattwcia8iRQsuhE9wi/M3PmJnX9pY6p7+ze7fMhL+3yhiq99 kNrtoxt3zrXrMArk0tY9e9pvFzDD6hmDsPh92Vhb7AsMccM2/UlYZfQ2mRp7gaamPzgGGXiB pPqHKoVf6T6ZIn6liz1dbN8+vX3jmqLhs+oDV/O5NDPmRMafT+WJdj//EArHkqK0hOvrM6i9 yCuV8E+bx0trC57NYEdiW6qkC1nr6ZFNN1FGRKPEXN5IyxVZiMNiN7AYDuZqyO5SsCnJug4y ANOg4E+10BhKRYyyB3J4p7IljDLjjCg7/PIGksm1AOm4pps3xjgX8oGo6rLENni2Sy+MtyWq fKFtRsVRVl9/wG8/WB+8300zXaj55Uuu3illWu2numLCWcMhsPgSiauc5wT2nRYf06Uom4ME jMgvvsfy/UpBovrihejGyBU801msZPW1ZjqJW6Z010O3t1aYS5GU+NnFXvnFBr/Hn8/EVV6m jz5rAJldj3mmPnhac6eqajg2L7qICrqfhWOkS9xVhMbHdmdz0VVX5VMtDB0a+p1pQWU3vK3V pvx8hPUf3no233Tu10eMsgtbt0vODLHXd7gTytOl7SvbUeIKIkc6UdpL2E79zCzm6hV7yljs p0qCVAGm/x7txbIeHFLeR8s0yXgNTry5aXo9w6ZP0xDNw2i5erlIa0+aTlFy5Zj9r7BnsmGO DoxdjRZsqxot2E9UIYYVAN5OPb83dHEDnP1KHCeykCWWVugK/iaq3ghMudafSlIAY23MC0YC 7LUTy+1Yhhhq21EyCyleF7bTj5U7k2fbvNQ3nu/rdaIavO+oEd2WP7GXo3cBbHjZQS6hPF/s qVOdP4bfpuLcAqU1iT2jUmwrQGqLSVEAHCw6+zuKK06t7WyuJuHRt54lM5D1lGthMsd/O8B+ Bsa5rGPDGxPOZ+5QLm7s4Dp3JHz0TrW9G/ANiY88Pqm7UQjZayCS8WiPazJHQ24wdtnKioJ2 QBJ7YuFH9O4ldi3WJOkWxc4bq5Zk9J9jf7KcMVLUK5WzS8NgfNzPp2djscrwFqqXa5iSbdSM x8La626rZvj1qYNFNdUUUfpHMXZzKTdV7E+eStQ2FvdxwaJ8Q/TlBURKH4dO0y6N4G1LWENJ Ylgs8UFsC8fEEJjQZYEF4M0GOLbf2WLx6nszjEw/9h9+Z0/fmWKlrBlFaSoeu+OvwnYtj60n NqNfedjZ/vzS1Dl/dKKtxls3PLEQ51xAZMwwiwH84edfNMP3D3SjSfern3gQZ7qJ5dn++Lcc XsgszVaYzaa+ENYQlAtjNt6jrlvlDEHCM0P88dIWmvMgS4n+D85CMDZRLs+GOg4L1nJxD/cD 0P83gGa4lulUY4Onjw2ELe+2LPwco9Rig1whZZZG3txfendKwJuDGgIXvR8QL1XPpAyuMtR1 LiQI59K9gsTjlI7SkQlF3gSl39csvPPZsmHYvh/xEZ4qVwS7JdVaVo2tLux+gRPRFVXTgSf/ q6jqgkqEayq6Rr+lYfEK2XqNOLs+7fStBeUu74qK3f2QbWmRRZNQQJZ9sYSJA5TuY/wHMNED mBjWUFTMI+XZAfGTI/tpxworXk7thbDlzgmzPsW+svv9rFriP5BPv4vJSGBZzjYBVUPDnsM5 hZYrmFt25kmCOZzpRiDahyRuiM2XdOXzQwG+HLOl+AEoyR+ANsyhkZ06Gev08P71/cfbjw/f Pn/9/ef3L5CFdptj6LKlxQEzJXBcjuN2UUOaJcnh4B6Vd6B7SpESdPeIDWgx8ZkJPpjeIXoY CG/tzRK6x/U9QTh6gIl7MN9D/GibWCI9AMBHs3602+yoHnfgzgRxB2YPAsPHcEHm7rDDa+aW CQW4hTG8nnz3anwv86NSCB9s+fDBdgof7Jrhg6M7LB6tSPVgjwt3muEOzPfaq91PiZwT39uX CYPF+yLhsP1pjMISf19uHLbfrgwWPFS2JIIPd3VYut/pOMytCC6w4IFxzGv6UCsk/iM1nbS0 lj2nbWU1kxGuKu5dgvkGPYTRbYEmhtnOSHFId+bu5fTed3evBbXTCZeT/tDdgAvqkbTOexML R+Ee7ej8K2yno471XHe2MGcraDWTmVvQzUOgKUMHl6rpLjZpytT9deRiT8R3lizOof2eBEDu 2U1C7sw1cpmUVlyeFvr0+W18/2+XPlrV7chOQdx69ugnnrvM/JzF3ZE4xN0j8Zju9TMG8d19 jBUXuWdfPMbJjmrGIDuKLYMc9spCK71XlhTFe6mkKNmTborSfciOVsghuw0Q7IoujZB7hqKi C3TRbS8xWbotMJvg/poklvuC24rwfKmbOh/qC+Slf39ItLiQkW4CuV+0FK6Q/VaeDFwI8zEj Iw/o2NS4Hn+LkL8iuqN2D2b9pB6emVFIchvhJkoTPBfC9r1VZiPOV+hZBM5eTKFaSjycmXd3 EhfvXP359u3b+6cP3L5guCXx7xIWk1Z9v4fTNwcRtWym3y/EF+YwB8rqLyICe0jPjleWO5Yi OgvgxGsiphNxOAMLmHD3tYl88ZgwW8ruKiECxNwyNcA2p1a1w0VQIKAuzDnHkf3jyWF45U4h O1wq7EG3T4r+X4PuX4LX3Erjg1p/dkRmNt2pLq4OKQN2awOgX0VWAThPY5JY5Y2r9pUuG/rQ 6Aua62RUxuE0IPiToy6a563KtFxeFjEhGi9GRln4IdJ+x7D5xopho/kpalzL/cMllI5p15f5 JMNZVPp0su3yiybe7S62SuxMgZO2J3OhXdnQIM7q05l4nm6gUin4L6RQQzVwst2l9c5Gls2S QJAwtSw/nO90eV2iQLGSjfBhIEdMbAjPBD5GFAj7EbHgN9b2e62uwPDPWFzuAj7tFsO9HAM/ DLQ81acUoSVmu4rCqe//fHv7+slceu7xWAGq+m7Wwml7fV670fFUgkuhPkNyqg/MAoJufRhI jDt2XUmXgwGw2IwWAIuVZZ25xr4u/BR5Zt8l4UHvepIbqyZgsfYfywcE7+sCyob6la6lGjUv E5SiCKL6etPlJZUBwrerRhcRtiCilO55pBMgoCKJuxmGXJo+OIRQgNeFmyYB3NYs3pxjhmn8 1OpXvcxBWmRStRlFlDWtDpx8QLoIRNgwgBjpbUOJh0MoO2MDjbx5XDgbnyp8KA7NwRGgg1EW MZLM1QoXQaCdZSt9vSYdGbS0JjrHhupTWSIt/qoi2MGBuvA6Xj9///n32xeXWpudTnSdYdHy 9CrRle6iTyOmrzuYxfrNDa1qNvrlfz8vzvB375atfje0OG/PJfFDyytcd5CmbwCJoJviN3Rn WdXtO4ScalDIQBXkqpEvb/8jR4O6rbf4xnMlq5kbnYh3DeUSCAaTgXrgDiJSIE3B4C9q6w+5 KhgE74zVdOB1XsH40MQiI1IvshQz8KylC2BdU8Xs5RwGqS2DCHwTTkYkqQcXO0mRLdW00l80 A0EI3uWrvUjatbMAAfwtTNC/gnPZI+eNdLNcpprPfyhc2/OOfZkJoHRHYwkiqpGXkI6su8nT xUJewXdh8Flb0IF8+Uu+xkd5xvz3X7Ywr8CH7DI4e0OELdnavmH9OivG9BBGsIK7goqb7yFo 8K0A1gliqXfI9NSD8hXdZifJ1DeTJPJ7IGsFBXHLZH07hYDvt64p5c/MJXYys1gYi/uTUfSV fS5hnU/HleN8oV2HtiJ7h9NVZarUBLC0uA7k/lQJnrvSaf9EiRfaOT6UHef5oGVilTjv+HLE ypXBlCd5E73SdRPCPSHeVqAktzTHII6gznIHFCGK/QbOYEJhlMDG0xUkHjzqFnQcQe8OSAly PdCs4xpzGCqGcB7BOWQmWjG0x4QomsyEOeMA5MgYfpRAGTJWEkCjVkJEtuyi9OBZUo0OoPIm I2LVYLINU5wHobshuLLrHVwZLGpyYvbpU3Y5Vawz+IcQAewlTpDJGcbIC4DOPIx0boxMOr8f eSF5X0LV5Ny+OMOWik0YhZ8Erk59KQjyPB9onvJwOESSFs4XLO0nVUtLnbTciRTWZRFwUjw2 B8SvXJ6LLWkZpZwkeoiUWOUKJwWqdQdg5PkISpMxIhsjtjEOFkaA4PJhhNTZwEQcfHnKvDPG ZEIenOpIBeV6tpchQmRJNUSgPCgj9i2MxFqOMIEG/YY4j2ApmG8fmCIpdEOnjpjq+ciet+t0 X/kVwGKHFpqLvMKz3W7ZymCJF7IBxqkHWzsf0dxfbZHXBKagf2U1Hbb9YLlqqAF7Akf3FCge SGyslLdDVxaJfVDI7J1lp4yXMONZWYCfc2uIs+zsBafJ1S+OCaL7kqNZaMZI/eMJyviYREES gS+VLoiTHpdPkNew+pkl5OvycROhlGCzTJTheyCDqqEZSAbGkTgTyVqogOf6HKPANaDrHGcV UARK76sJoI9pAuX0sQjhQNCCTfX+Afk+MGT5Q4ynCkpTLIGu5haIBEhVMHTlV2dbL6TJOHAZ VxFAs3BlLgImRMbwUWQpVuj7LjlyRAisLpwRQ/LlDKAcTEdECJxvGMvieSBDYi92NQ6HoIMt gzh2ra8McQAallvpEh8QuOAE4MzEnkB3T00cEdgKG8fO3s0RESB8zjiAA0YU19m3cNEHoI4x FnEEqDNUpfSDFGzrqj36KMeFrmRtgCGhc1EAFZRObpbIyEsHw3EAdDsML8SUDhuoJIB7DaAA l95D2SlUnNRSnBSyNklsaKxheA5ssHuqwOA8gQ+g+A6RHwBtzBkhNK1wBjit9EWaBLGraAwR +sBwa8dCWDlrIuzIRuJtMdKR7BIiQyQJWDLKSlLPNbSWKxbgxyQLfFetuqKYe+3+l8I7zCSv QB4sxmMa2dzhsRFoRf/6htkq7cTITh+G+c5UhoBzGh2Sj6Q2K0jyAUNkqlSDzUQZzsmT8oN/ wPRCmFyAy06JKzqBu9ediupcoefqbhThI3gqo6yYGQHdYsWkCBPsrO8COfigtDg315y+dNA4 kgRSDwjGdC2BtksF8tMyRf/P2JU0t40k67+imMOLnsOLwUIsPMyhCIBktbAJKJKgLwi1nmwr RrYckhwx8+9fZWGrJQucQ7fF/BK1r1m5IKsbSdtoeIpEVm8ORes1JrxZ4tUOpiXxHHRzBMTq 3X1m8T2bZ4p5R0NjKM3wsUgCdAFnRe06Fqt9mWVtxAgGtPU4snHWGgYY0B26qAMXWdfPWVc3 Q2haI7Mzcz13LbNL7EeRj15hAIrdtaUAOLZuahZJAF5qS9ViJ6SwrJ0COUMexQFr0Zw5FJa2 GoVedLT4mlCYsltc4sHiJkuwek8qWZb3hev0yClK7JAkNwh8lhNG2zHMk4ZlRdYcshLCtoye ooeg2H3R/tPRmfEM+2pv0iDaNETk6yE8OpJvmok49P2hOvPyZXV/oa3qpBlh3IPEoD0SPc7z yicQ6WcI5bj6iT11hHG1vMAADqLE/27miRdvZEzqk9Spi9CTk/dN9jBhaCZpdrbxGCPgNIQM wmqju4waYeFyCSkauAddKxXH46JYZbn3V+GHqqHrNW/rjDTrHKcypqscs9+bVabkRj6CgU+u 9Rrd0+b+UlXpendW00O/hWF07baaBtk6obcyIsA509KpYwjwz+dX8FHx/kMJzSRAArJGviT5 G6dDeOan53W+JSQWlpVIZ/f+9vh/T28/0EzGwoOdfOS6qy0w2tKv8wwKyLfS4ef+myytZXiM FbbWSlSLPf/78YM3ysfn++8fzz8/P9Yqz2jfVslqbrfTG7SWHn98/P75bS2zweJrNTNbKsM7 yZmmlPACfXt/XK2U8HDK6yVywpfS2QnqamcINt/p2bCPokVeLZUo1sPvx1feXfgoHFOx8iyF mW2I1hexZn1BmAI+YIeFdsc387alOy0ETou9l/KBSlB2AGT+xeX9198/n8BdzRS/znjxKvap FqsKKJN6hJwJ0IcQfocal1+LL1s/UmWEExUVUw5+gGbVSvUjwrw4cmzOTAWL7PBSoYO7S/Ai mMjuUxfomCdylGsAeCMGW0dWjBBUUz1TpCLivmI0VXogmnf0KquZrQBUQAwFzJ360Gg0kW4E oqmErkSHEANPT3t8O8GdV0kMRnlnJVMjOYsvkRnG7kwj6AZG/4Lq9j2/9fq4aqlgGdYv4VbC kvaBsAy8Nk1vLnLrJq7f6R06ElU3PjJgtEdRe6G3Nbqu4+VqtImgcXh8/2rtc+VIQ34XFH2o 5jgCun+tEQqCzvDEMR32GDhNVscN0HidFJVvSEnEuNUaZ9YblmhDxGwHIwYIMdSnxaSIYo59 0BpB5XELbI6agR5jmioLLEtIZ2q88ZHE4q2DiV1m1DNmgiBbbBsXHPeqIXAW+haz6AlGJUEC nOTyS/2yLyIySK0tOiNJSbpkXWYbjBAJW+evk33AZzV+oRcMRWzztC+2C8y/jJwn28S+qxZ8 1klRUmqSgAWo0Fig97EqjhHEMmAhqpIhipYlyL7X0k0UdoY3ZwHZhacCLgLH2PYE0a5nLFju rzGfHvaFdQzabHW9Q3Zd4KxukkL5frol8B8vT+9vz6/PT5/vbz9fnj7uBuV8ONO/f33kZwTT 9zUwGC+jgmi8h06nyv8+G6WogzN+fq7X+sWwUQIqAzeLvs+XQ9Ym9mV2sHpQEwR1PdmKZkwu L8w5QPKCYJsP6GO5jqxHNihxqZoyA83irEnkKhis69mkGKYV1dAFmypg2HBIQIC+vkrpGXNI 0OPwRum3qAaQBHtI6TnV3GpnRHOxPWJ8G7Log7NLvnF8cxrIDKGzWZ0nl9z1Ih9ZFfLCD8wl iSV+EG+xh06BKtbBghLlYdjtNGIS+nGEUbd+tzOyfCg6i8mdKGeVHEtyIJgytThQ6sZKElGf 3jJkP0Im7SbK5XBloh2LwHU8k+Yae7mw0LFvpAK276Mc3qDe8UdQMRNaaOaoG+nGiVC3Klpo aBqTsZGy9F42MapQLHao6lgMVmGdMWUnjJ/QbVvY8rlnbn4Dxu8uXXHChd3j1uB7fG0Ab6e4 LvLCJXhsp/CWwQalbeXC5aQxqFjihcM1yZrh/ZGkBNQZcOfiww0VFPxh57OeaITqsTi7agv9 9KYC20qTKY8JjbDGqdeWCUWwb7R7W5z0qunwtLbJYdNs9/TpY15MEP2qL+oz0RoKY+HY0y7j Na9yNuhOGQxgznUaAtC2p0K26lh4QAQuJOAyF1IcfhE4aLsGxqNeKzQodCIMA8lELD93qtAo tDCxNPC3MV5aUvJ/cBN9iWlU5rzFJsQfqxXXRQcLYkogJGw2KUVyHReBG2UbV5qbXKPAY7US iXrjkIBB2IFBukWrhqB9CpIDz7UMerL10JOHxuJiCe9JGfgBnqnAYlX/Z0H147zBMNze8Y8H 7BxYZB4GY4hucAsbbfOt71iGBQdDL3Ix+dLCxA83oY8OOTg3R5Z6CAwT6MksceRZEh4PqSgS WGozHNlvNFs+nMr+C64wwo7cC48ktkAxfizGy4nJNaxs6BOywhSHm62lDHEYousnQLFqjqOC uMhD4/Es/SBAy4VV47Jo7umNgF5+dKaV+kQWlTCdSbalkLBR7qee+1U8in0bFKs6PTJYu7x/ bxSsDjYuXqw6joOtJWmO3dhei/oh2nr48GChjy+KArF0e72j6DVY4kgI334tqybsFzcGQ72P uxvLXb0/fclcx5bHmS/aqNqixhOj7SKgrS3tC/6stXCI42ZTF8fV/Ge/y1gJBHhqd/1ZiYO7 MMj6fqw6Jcc2abKs5IfqMUyO+cUoGjMBfkPAqwpSOVSHSWXx0SGkm5TJSOji6xVHNEVUGXvw XB9T9ZJ5irNn6Tf+fRjdXK1ar6jJjToDT4vPmzYo4iiM8BJYDd4klvzAr8y2YT1cv3ZVBS4J blVE8J6bbL+zXPt03vqCiQtkrulmhyYh7rf9ubBEmZdYr7HrhOtnEc4Texv0ZCCgqMSLweo2 cEN/fak15XUq5vmhpQMGGZzFhaPOhrqr0Zm26DwQmOujR2RT4mdg6DQfMLxNJekcUp1V/0zS vREcCa5WWVJhNDBdTKMits1kELbcXmdzsqM7SbbW6DL/BsJPKs8kOW2wy3sDz7dJlfL77/I1 bfoymwGF3iSBhR6i9D/PcjpzaUDLrSqvE4QUDDhIea3QVEFDrkaRIoG31xTFugL/hg62tFil isIERJOdaaLFRm7g3RcdU7TBIrTLMGVZn1BLTFqQcZQss8ScbtZCTo9gzyzxbBurG1gYAqdz xewpX2i5q8p0rdxNZ/HVLxodleskfV5V9ejXZeEeHCxSVSxjD58Mrj/KDg1my6GsobKK6kzq WUPKtqCMmYOVYmM0Md7agFJWjO4VT8ZFllIisCbBqOCnRAkHLBI+Rr5s3SVosxBiLhyQh04m +GPcwnBwPbLGZX3PE2UkBW/TAz8S4MddwWNxaTdgtphygNqd8g2tNLaQzCFe/Q7vj7++wyPc EiRreRkRillHfrqwqDyDpiitT2ff/rqSNmZgXcJpgzRT1TCUyIK+f3/88Xz31++vXyHu7vzB mPJ+1ydFCjafSxdzmhg8V5kk/U2bAkKt9rxJUuWrhP+3p3neZAkzgKSqr/wrYgC0IIdsl1P1 k/ba4mkBgKYFgJzW3HpQKt6y9FDytZF3I+aEZ8qxkjW0OTHN9vw+kKW9/NzE6bA05PRwVMtW 8CW6P2Z5PexjcgkgcDgUjFFVF9rso+9TOGtEEZAnxDs4yRPcGRy0KOL+VcZtAVtFyvghU3Se MMK3wYcdPm45VJ8b7NzIkarOShjxaoO3bjppFSllA7UyWx78vBJYwmZBCTriWoIrwbeuxYkm lOXIe3THO64HdTa8FuNDpNLVBTh7S5Ist5a49S3JTXoOUoftiv7QMX7zdxS65HZETjkleBQ2 Do1PEOqIzXi/llWRacnsmoqk7THTveBJJaVFjUZUA6zlnehEWpoirCy+usKRiLbakj6uaOgC NihDPz796/Xl2/fPu/+5gykxPu4YkQo5xucFhE4aTkzKgZRj+WbvON7GY6hVkuAoWi/2D3tV FCwQdubn6AdMnA8wzenWk8W0E9FXb9RAZmnlbTBPTgCeDwdv43tkoyYl+VZW0uLbpB9u9weL Z7mxTnys3e+tlT52/IoQqflVsH968iPQvBJam3jhuGepF2DZLSymMsCCaUIiA9e1N1VEVeFc sFEau5qyuO5c8izFEp+lNUjipqmTwYKo5ypgbAvyoXFZPL0uXCsu3ZT2D30H7V8BbfFy5nUc BDdSnnSCkM+n6/etehrPfwiT5QFJKsiZN3eU11gdd2noOhGG8N2xS8rSUn3d//xk2LC+Qg1b +9vPj7dXvt2/fPx6ffzPuO2bq1h6KoqreBmuVPX0fUOKbHfa78FJ1ACjhbmR0TzNq4N01oFf 4BPk1PG9sMSB84HIQnYJSfIT8zzFSaxxVl4q0lanUmlH0T5HmpqNcaSKgST/ubjyY01WHhgm J+ZsDbksJT0dFW9WPJElkMGgzvfr+enl8VWUwdDtB36yYVly1ItCksYS9FCgNb5xCuzEj7W5 UbUsv6fYsRXA5AgSa7UayZHyX1c9naQ64epLABYkIXmuJyQuPhrtqsmbgMgb9lCVzWAKOF9b Jlq/36vsWdGatDxTzAkE7ct9dtW7qNjRxuj+w95iGSPAHALOn7AHFoDP9EzylKr58IzFG4BG vWYq4UJyVtV6ac40u/DLLkW1yKFA12ayNJSoFII66ElRZhssf5KdGg4DiOxCyyN6xxkqVUIo XKbnnCear1FBzFKdUFbnSqNVBzrOAYQKP2pVAjghe1yADnhzKnZ5VpPUW+M6bDeOhkvohR9e c3OQ8QsiTQo+FDKdnsNJWCdeRex1vY35hVAMbdtMghC8bbVnWmr8EpU1+nAuTjmjyEArmTYe q4Zl9yqpJiVYRvHBrUwHiYy3j/g2YyS/lp2WIl83+EaFEhUpgExHLsMybE2Pj68WRwYZmwzk BG6gpWK5PQJXYdUt951ENAZA3VB+4tN7tCVUk20qoBA6qem0WUGNDhEe5fjWp5NZRgqDxIcn 32tU+a2ATmWdW9eqRjVaEYsJPFKSluKiK5FkQRr2Z3VdSZdRfWbzZa3N9CWAHfnyodXlBLtq X7e+Sr5QWlRMm2cdLQstny9ZU0HB5GpNNPv4/XJN+Tarz9jBrLE/nnYofQy0NPxSOUhet/I5 Bdv65xgS6plkEeV5yTBVsUIvIL+7Vynt5Nz0RPWPZpOJkR/jhZft6pjQHsRMeTYKu+RWBQ5E hjmihWz2Ul+aNnvg+7SqhDmSrZd/zt7v8kqWm88kvi6WVdP+M56QNoU4JYN1oSQLSIRrauMc yIF/tOk/4KO749vHJ5xnP9/fXl9BLGDYXRbJ7I5bIpGm4P9QPb/hqbZNtWdWmSM9JlRNS5D4 UsP2hZGegHhHk4a0Fh9DKp/NFaXKxbauNasM/rqVQnpJivaYWBMx/TkifGPkqVtcZetbjZdm LlFqq1By4QOr/xssK8L7mUeTuyEcdUfOFoMshccmyJpzAt8LN3iwUGEG0x7+Vb3oLWBB811G TriQbmGzRxoDnvFZxt4FA0PR9foQs3HZDLKAq+pIc6u8lgc1YAAhYn9E9eRhfoOYGJvgQ2tZ graLcp1Xi52SMy0T/F1JZGBxXCmwm4NOjzAlL4UgTNZsZkYyUkl7ITB1A7l+FzX99IKvbJy+ y0/Znma4qd7AMtgVI98eqR9t4+TsWYTuI9v9ygw8wj8U22BFNaERwqbKzQljeYoFLHk4mmPm 2OKO+MV+NrjPsCRXsHt8AHb8/oRdGqQ1WNOXWBBShAEe9EJMiwvqxmRZZzt+9SjBI1Cheh3g F3FGE+zkW2YX7YQOvwYpL0brp6uSiYg7Dj/Zy2cuAe8auDaUYCxyvIAn8vIgDpxiwwehmiF0 EZ+ZltCCTErf8YKtUsEB4MdsrH0GEDzQ+cY3vItDHzUOWuAg1qur6u0PtMZx3I0r+zsX9Cx3 wcWnppcmIHZqGtrywVBSbHMQPEJQ7mhpCqKHEX2TGKphGmby1sO3AsGwFsF6qG6141fp/uFk eROUmRryYKveEN1Mr8pINcI+CNAi+B3qBUaqeg8AMTBaqw4c9flxIgdCi7nAo7iMTLqIeyLb ZPhLrYKVNgWG0MfE6wKeDOz4jfekT03dyE4Q54cSNRszHoiOJ663aR1LqPehqBZFXgHO+mPW WZV6sYOMSuYHW/SZSkxgPXScoBp65YJatnp/lxnrdvRgrhng5sFeFZYQ0EZcYciTYOuib7FD +RAHDPN0Df5tT7hiHqrGPaQqOTBQP6Ot7+5z30VNamUOr+vMFfju69v73V+vLz//9Yf79zt+ j7xrDru78dnjN8RBwy7Md38sIoO/a2v4DsQkhVHMwRTdXvsi77RgnTIKFnRmkjU/al9RKerQ U8IwfZzayDIpu72eiV6kryaSAqzW8rXFHGlI7GDq9uxfHz++3z3yqz57e3/6ru2E2jglzPVQ P8fjMObrfGBuifAUG24x1Yy5io5r1mUyFlmZ46CqgJ2MRjQOVBOIoYsOhe9uHKMhoOLs/eXb N/MMwPjR4aDoi8rkwZzWglX8wHGsmAVNaXtvgY78Tsf4hcv2qSwI1VaDkSOpcZtbhYkkjJ4p w0LKKnxqZEq1EqPjRzGgRVO+/Pp8/Ov1+ePuc2jPZeKWz59fX14/+V9Pbz+/vny7+wOa/fPx /dvzpz5r5+YFHUWalbaWSEihhepW4JrgTyMaEzzoldZEyCm1b/hzQZkkbwelHHDvRXOqkF33 yo+ihOZ5Jj2wTi+Aj//6/QuaRjyefvx6fn76Ljnv4Pd8JRrbSBiVOeUOmpFryY68LCVrlRYy 8RoNY6Gy1VWe2zM5pTVrbOiubG1QmiUsv19B+YXCXvaUf4sOc5XtPrvW+NVY5cu15FCm8b3F kkRb31cnTOipsrGulhVgtVrBA7wmIsbGxvR1xs9LPT/tgA+xNmlkkbSADH3bhiV9TncqAfxr h7Ebm4h2EwPSMWEV30FR4qSZ87f3zyfnb0tDAQuHWWWR7QBuNYDnWHkeomuK6cIJdy+TDxpp yQZGWrI95LTXyifoIKFCyINTN4Tan2gmHLaqcNqchfR4Kg/I1aFMxj1yYjavkgqCAWS3C75k rWowOWNZ9cViHzuzdLFjMRMfWUbPm5YGB4601RXsVKRP+Np8arAtRGaMNpYkwshi0zWyHK9F HKAO6SYO3QXQRIcQHFvNFmuBdNtZnMfDLyASj2H2ajAJy711jjZIfNwKe+Sgbe56DlLJAZD1 5jUkxOrfcQQ7OU24CHjg+WaiAnBCG+JbESsQI0CxcZli2qnQ+0vKTGx0sYIAD753b5JbP/C3 svrZBOz5AdFHR03Dp5NrMQdfWAI0LKichhwjbqJnhe/IYThm/jOnx2hpOIJbys0McewgrdsG BUJM+VyO57NITdcXM+iJLbouCQQ16ZKXDWS8CnpgW2g2FqM9mWV9PgPLdr33xIrhokbsU5tu I1lreunVTaAGEVam9gYT7qnLFNIgfHp4LjYJi6SOttoYgudbUqajT5q5E+FmZ+5MSNv4nsVa RS3NehOLwbpNVgdlFw7+o0Qx6tfHT37f/7E+2JKiatHx4sXo6saRAPfdIjEE6OiFDSkO+j0p aH5jS4tUoeaCeBtndfwbGsIKsrYst+zejRjB9rpNzOIQp/vIcgN0zSnBhLRF6KExr5YFdRNj 47Wpg8RBJwEMC9Saf8Rn41HjSzM6g8Ey+FVcazV4IDWL++VaPshBDufRNtuciSH69vN/4Sp9 YwKRtth6Fsnr0r32l72Zhx6G54tVrn2b93tW9CQnFlXEuTettpIKR38Wx+kVNnguWu8Gy9vj vMHVW9/ms2gaJs0GF2POa1Du+MixAMjIogxKDA3vFgf5BLCWFOgMGDVz14vK+DHoxrgEF5i3 OLp1juK8Cg8BCPx4rc1GHQrknMP4X5qTy2WhKeq1flB9Rs3bkmFPNUF/ftlEm/Xmymv7c4/E 49tiDs1ls3uyXa5tNv2NuSrdevdzvLcoZsxNWJ7xsGBzGnb9hJmFeZG7no3pZBhhiUJvPZXu YLPlnhf3yLdEz5LGzOpx1HBkPCfNUld7LEDWV11tadbYb59/fry931qgJyM2pIApOG8/j/bt Bk1X7pKQ8wSJDDlgWr2S9lomPev6rBSReeDhuczyvr1QJuvh8o85y0GxjgXa7Mxv+E4toRIE iOQsawjfvg/Dw/tELnYEFshYEi8Q1h85k/Jyw2kd0NBegAjJVlBE3eCZNITitqJQUlgAYnwB ALglrtutwPpSOmGXuWhyXf6/sitrbhzX1X8l1U/3VM3iLY7z0A+yJNsaa4skO05eVJnE0+2a 7iSVpe7M/fUX4CKRFMDkPPRi4BN3giAJAnKpQTLxDa6dsdVESLlyrBWSbN1mUcikIT1HJsCc W8cail6UGIObljDbqZtmf+RchujWD/kZ86gjC1ei8DRTmWjJzvVD+L7GF5IlmwUG/WCZIEcY xQV97HOf5ctypXqRaOoynU5Hri2JtKLkEuy4XCtKQMZ+j3FAWKa0SuCng1hcJqM2KJdsIhIz HvHDpEky/vMumknGlqKD8B0tZD6bxyFJk/yglOQ24kdEs203tY8bXnFc8dYRmoBnLoOMGReC vcEp2GbrzDgP6hnmiAFJ4TaE7tCVGO6GOgPNUgd1axHrDf6OoUB2BDJFp9cuDEXFNr/OBi2l edAtV+wmcaSYWA8yUy9rxJwS+xmQz9VQUKUREW0GaeGPE0YrMtfRbiHjOhPorjH1YG0Ta4Sx XqJrq6dndJdr5SWyWiXu48I+OfgOb0hLR8FSlyVOwt2qtzvgy+80sB6rwcJacU4ONtEMVy3C FMeFELXe1qOxeWArf7fiHmb0z/Ri4TBEBMCvk26JybDNwyRxHrU04/nWfrUM/AmtaZZBhdnh HShplKbq3i4xnOCKaBXBoStuIIQ1HlMAOuP9yjaqwt9tXiTQzvSltQDoF+g8IgPNjOaCGgVq YLKnHV8j2ymRoKCRy47Co5MVwbS+EdQ6rClVRTLFXFTPJdo0XgfhjZ4OIszC69Nfb2ebf5+P L7/uz769H1/frMcf2tH0B1Cd57qKbyz/gzCQY/PxofztargdVV7s42Srk1t0M/V1MpotPLAs OJjIkTFcJDhL6tDTDwqV1IEGDUpVhumF6bvPIE8sXcxkUCe6Bt8+7e8ZizG1nzH5c+5D6sC3 42fTC9PVvqIHWZlC4yTFZDTCJmAAsE2ezhXfzbpDzKeI4MsAg3sxomotGIzbItXfQUi6Qu3Y 9XieDTsI6CDkqGqJL4iiAH1Bmp8Z31l+x3v6fGaeT2p6M1mMiIIBmRhQgkwNKMGgDmlN/gWZ 3uRApZeBMhpQ66YCrNJz27Of7mz0/ZIU40lLXy4asCSpipa819AzDodlMhltw0HBw/kBDyUL ogRZGc4n1FG3zjq6Gk+WgxTzBHeboP+eUyNQcSlzGxNhReVwGON5RCecBssy9M8MmJ1BRIiX LArGwzEFdKogQN4RZGGcfjUlylaf+2TUYnI+FBdAPCeJLTHHtvJfy7CDEDs+kUPPaKoPGrpr qmKHLqkGLNQah3JeUNv4gCWIGa5K1H7XWjfB2vF8pZfD3o+RQ2nLpDQz2VSQTadvmIUj/NGp oIBcGAzNp2OvaG5ZFU1BJYt6lqPVOAhhBrg0bzg0Z78kSyqW+xWtMnalFe9WN7ulH4UmNlzR YGNTiuf569gtm2R1rt/67WKcpkFeHPyqXpHCJD4U4wtKCm8w7kdoGpRpCrRxDBqxPZjQE6aF 7mn9rZTcm/x4uv/btFHGq5fq+Nfx5fiIcT6Or6dv9jYmCZnXZZh4XS7IkAfI68KaFLXsQO1W 5XNFsDOCzTll0pZmW9DQpu7Couvu8eduoy5ni3MmjYHdyxCCgTiYr+uQnjAGIjmfzsbc58A8 p+6AbcxgiTd4M/oRlA1ifCEZoGU2XpA7RAMTRmF8MXK1IJPLWSKZsBpEOOxWGX+VPVBcH6bx gXtK6EDr4EPYOs6S/EPU8BCfbFTpntvfYHhgCP+uY8toFzkiWDk77dJ6PJos8EQ8Ba3mo6Lw 1yIGiHuHYkCKQ0663Dcg+5CbRllWTlgLZHOcdfGniG4UQYMy5ymnaMgQfVcwiwGmGiRb9BRL 3/0IhAoCHu2ZgacwzitGl9/OuethEyCixHpR7jPnASC8Wec7T4UBsqmYLZDi564DwQHf/31N n5ILodkHBvhoVG0SkHDzcD9lLqJdKG0s6qDOL5nWs2BzxtTBQX0sHD96pmtB5xM2GEsdNwCo P2yzZVFzLp7xTjdkrMnx0yQ7LDJmqms2c1am2fyoEWxLbEmj4sdvx8fT/Vn9FL5St5ug6MZ5 AuVe73x37C5sck7rdS6O6WUXxnSzC2Pu/0zYAYMnfAK1YN45aVQT7oZ9qR2gUG1KDpZtjMbq zArQJOoFmZsRrS1mx4fTXXP8G7M1e9AU9M3kgrljd1CMTYCFml/MP9QYEHXxoVhAFGNiYKFY KwMX9YkcF2NutbBR80+UazFmwhc5qMWnUJefqOPifDwnx55/WBgjRx3lSi3/54+nbzBgn5Wx pGFeYOYq7LiqeG3dAQ0AsJ1OPWwvd7Ec7kb8BTWkK+zLK/g7nI6nohAfqlUJfBFuOA/tPRAv /Fi5KsYbr7uoS7gPVVLplouEiQvh8ciAe2CTT8Fm049gcvOxShhXNWJFEVd8dRGuyrXnnpvO yMwGjdSMMaFJ8L8i3NYUB8M+S5sNH3fh5V5a+0KVIxNG1OgpjCQdsaMLAN5gKGKHsM5wkSFa Q12J78Mdo6nLy3L6nvAaNls5thizVNRP7y/3x6ENtHhdahn6SEpZFcvYasAaY6A4Gr7Su1s+ LKxWmT0QZbfqQ2irVR/mWphE8IBV02TVCGYSD0kOJdpe8IAKGhhkRumBSJvJdnoxag8+nJB4 cw8A/XzmPv516itp5GtyGO8zX4MD/zxpNzWPkMEgeL40YPUA8jLMLryNrSxL26YJfe0tLaN9 6cixmxfQMQmKbGaWS1i0PGDBUU5wOBmXwNe3h9pXc5iqVewBaL3QN1Jz0QEiTKxvlKlK+Qxb FeSD9VCCQPxNJ+ySUVfesCQGAArkw2Qls8ENqpAIL23OPXSQuwx8MwNBUsbV5WJEn8EBZn+R icekjkuhHoIOuqDV6CNYyWXOZyWzCZeqvr6mkA6o2ixkj3pFo6pgMtxZkTbo90gTPEJqq9I3 cNHa6sOh9ge6+GLbpd6otg+zDwAwTblgfNKwCXbadGW7JBpmBsfdAODi68iq+DQ/5KMBQdBw dkR6Xh0YZ6awxwSplVX07WrHdjV9m884YVB5Y0CedekdOQhpSrqaspEQIULVNN5+r9EvPmPe 24QwHsbe5aCzHPXJPLX5/hABxS24UFYKUpCmZMLfsVjgocDzGbEfcfSo7sMAyl+YNtAgZbKN pckpEmfYj+2cQRpEsfR1lZtimU4no8FHQ1UEltnqGqY/i+z0GqYA2vjbqqKqs36l3peqSINq hUsc7A40isxWGmiWIXqW4Y2/yyjkSy6XE/icsTZGA9EsuvIkgPsINGtnAbiNYT8XVXCz1z2K 9mZQv+7FZHX8+fR2fH55uiefEsToZHjo4FKNP+Jjmejzz9dvZHol1EoWcI0uipBA974ASpM0 OmsrC6NpMMzBdWLH+pJvQ6ES/1P/+/p2/HlWPJ6F30/P/0GvEvenv2AD3zu5lQHA1L6+fiKf WMiTgzDI98xOWgHEMUJQ75jQY9o5KI7KJF8xHjI7158USEcmI8orKyIvoJh6SC5KydYNhUlh 6rwoaC1JgcpJ8GFC3moMS2vK7MuxmL8J5R2z49arSg/u5cvT3cP900+u+nqvKNzz0zOtCKU3 QvKRnuBKdxLOFrQtsyVZQ7JIokz5ofx99XI8vt7f/TieXT29JFdOufX83iVhOHw6UwYBnrX0 EUxUjh+lKx0Y/ZYduFYSTY6H9WSFBl/KU3zYtv7zD5ei2tReZWvvpjcv6VgrROIi9fgRnTCd pae3oyzS8v30A50wdbN86PEyaWLT0yX+FBUGAgZlS5XLM5Xz53OQBq7GUScpRtRSwK4TUbwP mGUI2TCPqiBc0ad0CMDwx+11xbxjRUQdlqCasOwsG3C1RS5VN1G5q/e7HzDC2VknxD+eIeHj /Yi+lpFLBKhFbU2LTgmol7S2LCPopswKTEY77ypGFt+eDb4z1E5vWVdMEGsNSIoI9v8JfYEm JJnvDLYIu3c3+yJtgjV619qVqUeQCfz0v8DTjbsTpxFDQSz6+HD6cXocTnzVthS3c/j0qfW5 0z8xau9+VcVX3eMK+fNs/QTAxydzlitWuy72yrt+W+RRjAPQejFjwMq4QvU24HyxW1hcPupg TzlBNHHoQLEuA/NlspVMUNfJPnbrExHLNujdahe+3NU6EfZoAdX4z+DkAZoP1bd6G+/jnNqv xIcm7B3jxf+83T89qkeiw0gCEtyu6uBytrBMYxWHcTuruFlwGM/OLy6ID4E1nZKeJXqAcLZI f3txsWDcryhM2eTnY8ZNg4IIMVODCBZvAPiSVM3i8mJqWLAqep2dn9v+WhUD30/5GwYQZiRh gtnA306YxAyUfdupVb8gk5mV14ZXHfjR+R/rx8t1xro3Q544drLTkCdRGwwKOsygO6ZyM0GV i3fErxGsoYwCsAY7gh9XKSOsBXvoVsziU7FjTfbQzBbJHhcSyFaHaCx/kyz39KEDcp343A7v QN8hKibjFkdx2fMbwZcv8dZUvEnBv6rnk1HgNoXH2APZ2zjOlgHlwAa5wkX11E1SPz+umaNM hWHPqSW/rv3Gu4jinZIILqp6gxCt1udREnDx4QXgwLyHA56I6hBlgzMqAyJ8YNtWrYLMHBQi z7DaggWQXiQFLmRCdQimOjjlDg0FRulLLMCnJgk+f2ss2OlkEZYpbaQpAGy0EcmtPJ8yKpTk cdcSHde5k7DZZex2l7hCY1PkXYAIbhKHzDZBsTcVd5SPgH2ChkGe6g7dx8iNYnV1dg+q3jAK JXCw2+3zy3yfGAtaANIvsWSmPOoPEv8DZJBAIaZfMvK8w0ERvIDqNhjzKD2yRH70cXYNas8I U/AfL4c7FqOLslnUfD7wcf8+PkgiJvI0Sm6AYvg0ZmOOgLzhvAwonRRzA91nmeRMMmlR5Gth exPiQxRmg1s3w0rrEwB31HSDBtTrbbu0451Jb8HAK8ImoB7nSmPK0N7yW7yg2TBWY4p/qMec 31EBEIdIM8a1pkTw+oUCeDQMC4G/woA+hFN2o84LCYcN3cz415FssYCvrz2Q7YTzGinYGHCQ MVlXALkyexBZuCl9IbUUincG1vOlqTnIF1/bonGAh+2/q5YYebdQ1MzBQY8pI07sIOQje2mF ul1PUvHsaHMzOJO1kO6LFEUdRKFzAR47K4XgnX0JfmdP6sF4jZdsSLtOd74Co60SyVb2TNqk +iNTb41zbbOle8fNzVn9/uerOMfoFzPlYK0FtvEWryfCFhH0qEiy+3UTGFpHFQEIG0bLAVw3 ABHJovjnHWKYBLl0Ph/G+BSdxakLKl1kH+58lGCB6L20qLi8AxlPAsQxCtEAN8XHu3xF1LQ+ rD8LE3VBbBvkQVrwzex84q2+ujjA8jLOIrDNxdsMfznlAwq2YzuDNmzA9oMStXntb+i8nkgP LZxei+kIk8WgYfRJjfCNRFUnb707c6uiqpzTJhLn7Q0NqkFUVKTfJRMUpGbEVmThXlu+WcB6 2bwsOcCKyM5hKSu8zSHFzoeQi48guPyj7uVrCXw1Aot4XvgHglyk2311QPcM3o5S0Ar0VDZJ 5bnx4lwcQKU70DIr/2AVCtEHw0xinDYxe2YfL3ctZAtV2DX2QmfyFyL8lK84sBluJ4s8A+WJ 0VgtlLdpEeXrxywrpx8DvAURllG++iBgx7yJ1vxD/VEKmyhj9nwKICcF80xJLBJCh0MlPYqp F4OIKcI4LRqFcbtQ6Obe1lIWEVez0fgTQBzpfNcJCGfz3AO83S8gIl5wXtbtKs6agjPBseCb WoytT6TLd6tui8VofvAPMfGOAFuDhVSBMOLwpSI8goHSMfVrAd2lWCR+MY4RLaQQYN7hZ0PD OvGuDzY6+izaKxd74+ybMubnqto3R2W7h705vYUwcGJKfQrpLZy20PQJgQ7jG86dAv5pFD8Q OpS36P1ZxsYzPNE1FZ7djafjETaaT1PtoLOPoclmNrrwjnp5eic3X3y3ixO58eWsLSfM8SeA okBp/yxCBC8l5KcF+uNiMo7b6+SWRIgjYnX+wa7JsF1DpyF838lzAXUQL6KbfxLqq113WyDU Gn7E9zhvxpaTR/Jsyd7BdasQ3vFaPqCjpjRupzL7Tgp+urancnt4fMFnYnfovOLn0+Pp7emF inWPR51hSIXCRE6ZDYw4oyycg4ZZuubFuk6ebI1tsm3SIO3HHh9enk4PVuHyqCpcx7fagEvB e3QUUFdeOq6R+XN4fSjJ4tAxoVe9HlGERUMvyvIhbhuvdowtiUxEb7RjtHf05aaBXH4ShQ8u +DKhZjQokPV9jgM6jwrMxmwTqV6s3DLaDYmXznUUWBEgu7WIb4gO4q8abt34qqkiCAmIToXo puwk+Efdsl/NQXp7WlKbR36UEHonh75bl4zBi4ip4ElFGN36+6ySg9ptLtwK5/sqGMai3Fyf vb3c3Z8evw3vP6AF+wkCP6TDJHTHal959Cw0iWeeMABGRFgjio68uthVoRmeb8gjwjNKkdts hpR2TVJrkgoaBkEtm4Sgar+NncAhWrCvtns+qcm1kTT8ENG4MexZXkSxzckCsU21g0EajI0Z eM6gS0NWm1XDzHUoy3iVrJyUi9Dq3iamxpvwq1am8SHujF2z9x9vp+cfx3+OL0M7x2x3aINo fXE5sSOUS3I9npFui5BtVx0p3YtLbQlIZGyYaRWlGcAxKSyPgPhb2Ca59iw9Ik2yJeO8BIdF Bf/P45D2JrhDgD2MqmpXNm2YN84cAmmlngExB036RtaPQifFVzF1bYuPna52QRTZVh79+w7x +iooG9ZafPCARHv/ta2rZJTbE8ZMFDqMMQz2sGGLgiaGgYaucmuzcYCU2N6U40Mzac2AgorQ HoLGDHypyWVRJzCewnTIquNwV8m4oF19gDdtSWdqwJm1tiqgSH0eZBNplM6OS9tx//rHMprY v1wEpJktwyDcmFFF4gQaEDhWzEVNBGi4JehopISGuwWZUNe0/ZpsMMnKEzijtXWddDF7reiD 9P5g0+llsAltgibBp4lUfx4GuSNFhehs9/SDR4Rc7YqGkuAHerQhuWrcfIo8RUfcIkook9ag SkgMamjQpl0F9KXxelXbs2PZuINBU6iydjwxUNTrWWeGdJhqh+egObClH0iiOBI7qIgky6qw X2EO8QofD0rvhFp9SdKujv2aOhEfEGndFnnsNAAnFLDfbcEiKe0S/QXAkmGmkaRxi2TLk+YK fUqH1U2JvrwYchuka7vstagjKRdW9dA5YyRJBDqRHB0TXacRDNPghrCgh43RLMGuKVb1zGpA SbPbFPK0COGuNqSScuNtd1oB1U6DG6ff5Kbu7v67Gb4lj5t+bhpjQZJhllvd64hERWBwA6/b SMTutcraU4emo/3LR1lqWYPoV9hn/B7tI7HqDRa9pC4u8W7FkX9FmjBmMLfwBTnCd9FKp6LL QectDbiL+ncQHr/HB/wb9AWydMCzejOr4TuLsnch+Fv7IA9BZS2Ddfx1Nr2g+EmB7lTruPn6 5fT6tFicX/46/kIBd81qYU5IN1NJIZJ9f/tr0aWYN85oFQSn3wWturYJ08Fn0za9PbTSL+gQ awmWXhXytbk8gXk9vj88nf1F9YVYm81iCALaKJjzVBBBY0ujKjZEzzaucvNbJxiz/KdfCPXJ zLA43UhAz/FiItzAniKzJ3QV5OuYk8RBNFhwFQmanb6cW3FpxUKa2kNBk3DzXQvfwz1zM8ga KGW6c5PvVyi2GstBUiw0hN211drit1xOrDDXNajg9cZOVdPkUiPkD7VPtlBRUsGmY5guhm8v shI2Nvk6jclcFEJs4eidBoXEFylhSTnp6eCOWt7Rby0n2B05vZ2R5UtvKWP/Ppdb8qvbuqHt BTrETLxnWwo/TrfeFo6zZQz7pIgo9KoK1lmcN61aaCClr9NOUh4c6YMuWg8WpcgcyKZ0CFf5 YTYkzWmSI9mqQfKSsgzCbRy1yxs5Il02qCoOvaybwvTbLH934neLr6OXN+gHfDyazEZDWIq7 PBw9tvRUAOhik9mfkGv2rGNTN7IdahPyeSxmE56Jo4XneormVk03CX3gP6zt5/BmxT7zhVlX Cu+pvIazjdABvvzf69vDl0HeoTy08xUPH9Pzxansc2JYbfacrN6xq0RVDIW1olFqnAsRossP uU2oU5XcDBAIP/rWMtSd/kAWAFpjakFjohPsIRfTCzv1nnNhvZaweAv7XRgNmXg+p56tORCu XIv5iOWMWY6nMHP6vs8BUSExHMg5m/uc5VwynMsp983lOVf/y+mE48y4fBYXM5sDOwMcVO2C bbDx5OPeB8zYTUBEvmI+1LkOPtIM+tbdREw/SHrGJc2NRc2fcx9yk0vzL+mWHU8ZOltCMjQN ArZFsmgr9zNBpfQoZGZBiGtykLtfISOMQQ+jr5Z7SN7Eu4pSoDpIVQRNEuR2NQXnpkrS1Hzg ojnrIE7tW5+OU8Ux5cdS8xMotHzm7DLyXdJQKYrqQ/m89Wx21ZYOLYsIey+5y5PQulhRhDbH B9ZpchuIw5o6TlfKb4/CJUV7fWVulqxDbenU5Xj//nJ6+9eIqddtx26MlQF/tVV8tYtrpToa 621c1QnssECpBFgFiru1jDUVmipGIglq5ZPHTQpg5dhGm7aA1EX9nBcp8mC1jWAHJezTmyph HiFSZ9kDJrkoizAgIphKDsXDo6qwKG/aIAVdE/30WZs0F0YdkRWVOPSSN4KGco5nv6H4MoN+ 3cRpaZ6Kkey2DJrN1y+/v/55evz9/fX48vPp4fjr9+OP5+NLd5qg1d2+uQJjcqR19vXLj7vH B/SC9Qv+9fD0v4+//Hv38w5+3T08nx5/eb376wg1OD38cnp8O37DofLLn89/fZGjZ3t8eTz+ OPt+9/JwfMQrxH4UKf8dP59e/j07PZ7eTnc/Tv93h1zDFXEIzVaLM7p2H1QwpRKMPNg0cWXM bhJ1C2qN2fyCiAb8W5gVjIW+gYEu1BmRh5MWUOVlMsXZKIyCroXNM1SNWIFosQGG8w+yYTSb b9fO2YM7b3Xmh6KSeyHzEFRExwytDZGkZXEWljcu9VBULqm8cikYl3MOMy8sjNMBMZWxseTB 4su/z29PZ/dPL8ezp5czOTiN7hdgPGSW/rQo8mRIj61gWz1xCK23YVJu7FBCFmP4CYy0DUkc QisrMFVHI4HDTYouOFuSgCv8tiyH6K15SaxTwB3QEAqrU7Am0lV09gN8YS0CkrvRtyRqvRpP FtkuHTDyXUoThzmJf4je3TUbWCb0sCrf//xxuv/17+O/Z/dihH17uXv+/u9gYFVWVDNJi4a9 G4chQSOBkRNCUdOriI4Pp0ZbRtR0V+3jyfn5+FLXKnh/+358fDvd370dH87iR1E1mNpn/3t6 +34WvL4+3Z8EK7p7u7PCAagUQ8qeSXdOmBEFDzewkAeTUVmkN+PpiIxQqOfXOqmhf4czKb5K BvMfWmQTgBTc67othZ9FXKFeB70UuhHHJHVFXTVqZjMcvSExJONwOaCl5rm5ohWrIa6U5bKJ ByIT0FPQQdRwhG90sw7HM8ZybXbZsMDowEY32ubu9XvXZoP2oUM8a4GVBUTh6ZbeOynJq5fT t+Pr27CvqnA6IbsLGXx5DgdSri7TYBtPhm0v6cOmhlya8ShKVgPOWqXvluvjkZ1Fs0FqWXRO pJUlMKrFKyUuap+UOlk0nlM7WD1jNsF4OI1gGp7PKfL5mFjXNsF0SMwIWgMqyLIYrlPXpUxX jqzT83fL2Kmb9MMuAFrbDBdr0Diu7TiJDkO9/Rx2aYAB/BJKrIZB3TABPXoA7UlXC3vyPYxi rsS/wwIpmUhIuqqM8+EHdTYcQM11QbaGoveNIdv/6efzy/H11daNdRXEce1QjN0WA9piNiGa Mb0lw612zM1QUuD5qi5cBfuDp59n+fvPP48vZ+vj4/FFa/FuTkFeJ21YVmQkTV2farnWUbAJ Dim4JIee4ILnuDEeIgZJ/pGg7h+jvb6p/hr6njYxMhXZH6c/X+5AbX95en87PRJrWZosyVmD dCXU9KNlqqd6lKfHACTHqJESB6FZnerhT8HUUIZsLVlBy8IrpEsfxJcNu0j2tegVFBLEyE7B ymZEO2+uieaFTU2WxXiKIE4e8L2RtePRzHK3TBWm3i1t2OF8dNmGMW7ykxAvWVwTwXIb1ou2 rJI9cjENCnGhroXp7y+E/o0fWwciyRoPH8pY3q4KSyQsQ2I7B5Cj+fjyhj4BQZt8FUF4MAbo 3ds77NLuvx/v/4YNp2FFLe7OzUOcyrquHvLrr1+MGwPFjw9NFZhtw53GFHkUVDduftRlp0wY Jky4TZO6YYvWI8S8xv9hCW1QFe8L2VwS4CZi8PsqahuWT7SnTm6Z5Fg9GAJ5s9LiJWXlitxk m5tvTWmXsCMCcVkZl55ophdUrTBtMC8FA8f2a5mAXoCe7o2xK866girckFztaQEUijwsb9pV JR5KmmPThKRx7nDDoopMCQANkMWwC8yWkJFZO2ziIB0mW4aJa14rSovGXGFWHsLNWhi5VbGl HYawLwJZb5HGcxsx1CnDNml2rf2VE/cWCd2RK6OECAhIi3h5w8RbNyFM6FgJCaprZ9JY/GVi F3Zu6SSh/evCHDHLTqfvAcY2z9XcYWxFRWZUvWfR99VIlWYYNh1tKnCNtbUbQR3oPM5tu0Gl Uuau1fFSniwJfZUuyBT+cNtGpldI+bs9LOYDmnj0Vg6xSWB2kCIGVUbRmg1MkgEDH30P012G fwxodif1FYL2yAKSIQxUnOlnnnnroSCdkaeFpdebVDzbXzAsyM9giYcFe4zxAiBz3UVn5yAT hGyqAkNVwyPhpLAewSEpsuqUBbYpbI4lQCo+18Rj9dgGQ6HSQJgEbIR26MgazKCOm105TLnn 49kosldFheY6iXnQT6PCcmcXIy9yXYI2s0QeclU0nLIoUpsRoKMA137ZYrQ1bUagm6RbU6j1 dp3KUWAMDiiJ/YsQC90IagrYOVuCKb1tm8BIAf2egapnVCsrE8v2Cn6sIiPxIokwfiGs2JUx Nuq10zqi3fMCGeJkyoCC5JQt3Nt8oKMN+vauWP4RrGmD2sEa7tZfSjb53LIWLXkdd7us7sBf a1+C+vxyenz7+wx2YGcPP4+v5vVKX1rUJGQMH9qCRfLDIE1J75XimgN0szBul7sEfe2Z56/S NAYW1nUKKkHaHWNfsIirXRI3X2ddBypNdpDCzDBgLIpGlzOKU9IHaXSTB+iL3bEXs8jODQfo 7MsCdfW4qgBlOY1GNPwBLWdZ1Ja3f7bNu6366cfx17fTT6XcvQrovaS/DK9RVxVk3V4HVS4s zQxdF7YTJYY6w4KSt49xEIFyBLIR+sicFKAlC0U0S+osaGBkY+r4SuPGrSJIF+jX6zjY4iWt EjS93vrZyoiqi63/6V4P1ej45/u3b3g3lTy+vr28/zw+vpnv5YK1DNpTGbqrQezuxeIc7xS+ jv4ZUyjpeZBOQXklrPFSOgcp++WLU3nrxljT5MzDv2lJqGF42SGQGT6Co0aknSDeOpr57Za1 K0RUs3+qIe1c0DQ6TofVcf1im5euXbqWtMC5CHuxOK8Txm2cTBmBQtrTQgWTKa5z2h+u2LkW SV3kctfhJA1CFAYwNeLVGpWaa4LYl6hWANmZwlgeJqk5fJriMneHosjaNYcbVEkEM84j+ZTI 0yp76opFsnIRGAjXImmqYPeT8AwuLoYN4SrvtbcBDBTiiERyr4sK926QvHi+lNyCIhRFnW2n fZ3cd7lT+01S9W7+EXRWPD2//nKWPt3//f4sZ/3m7vGbvbIEIqgWSBbQdMh+Nvj4MnIH09hm 4qpU7JqejDs0VJ/iBoaAqUzWxaoZMq0lAtblIDOBIg/K7J0Fd6U0+hUzazfoo6UJarrzr69A xIKgjVy/dt37UV+TSjsbkK8P7yhUzXlpDUNnaZNE+6GjoOm3Qb0tAJG2PQCwH7ZxXMr5KM8c 8Eaulz3/8/p8esRbOqjCz/e34z9H+M/x7f633377jxkHAlOrQCvdNfEhJgQsFbLWFVryWw+i uq5jckmUbKlJgpyAGrkzTb1zEyqv1kXNPSC+joOxhW+EnZ3R9bUsGaHC1uHK/ajX+/6LdnTr CbMSdrprqqa9Wma2sVjo0SRll9ewlYHxIffjbFNtpbC15/7fcuF5uHu7O8MV5x6Pql7dXraP wdSqQBHrtUsRj/gS62BHCH7Y9QVNgGoaviFPbJMYb9nclgsrqH3ewPo/fJBXhTtqkg06UO9K w12L3n4lhxyVCDE/p14PhzvxBLRPydj34uduVyIxvvI90bPr4bYAyCSp3VVCryOKhGcoeXjT FKWzmq52uVQgRaEqlys3A5l4/C/se6rIgeCDLhyFAgkrfW5OMYEI1YcylZ4p0w7VW41+HQ7Q V+6wK+9eflJducuvkzxCLxHmkQm68ZGcoVjCw0h2kpi6tZYwGAstyPbopSqomvEwRdjXR0x4 JDUt4izZFHWTMJ71dd7tDjJoFxMmFooNK9MRGQHDKDbiiAbAr1eoqAIZvVR5WgMWnTDdRaBR P2Db/373djn+rXa0a1mczU0NqvtsNJosRqMRgcDXtCbCLVbueSbTM90SvT/eqzvT374bdw1x UKXqbJ0MTQ/bwzpZb6zm6Yh4er6t0TkTvj3b0utTj1ZeXeImmzIxmHsoE2CkR8AEZsO8GCjr 4t0kd7GjE+FeeW2pB/YkMo8bmuPrGy5aqKuEGPXp7tvR1AC3uzyhhJ2W77izLtAg8w+5IzXO ZVZCAPBoswvUi1idCnU5p8/Ntra1odSRQTMGspItpXWzinhKWoNQwvsHlNOoLdgX0uk2Ml0H ieu2LMlxQ24dFAlGlOzJxxvL7lgF9Ql3RVjiOedwKTIPSJmFxjopdZLVR2ymCtMlblptMmmL Cm3iQ7TLTJczDV6rEWqRgCuuNEquh8xa2pfajbYFRsNEXxUAeT/GFRFWn3zlZDU8xxPk3Y4M dil4B32kbH+Cb/1RUnKfVXgj0ohTC7sIromCICYR6UEJViksMnWLJz5bJVUG2p6bRfeU2qkl d2wmx26chQG06eAzoWQm9BzXX6o9q/2hsGzGfT75eFpfy8HX7iBUJFLf8QklRwXOkhrfB7dR Ee7wMSstrKW2vEyk4KGjMDoHr/8Pe1ESaMHSAQA= --HlL+5n6rz5pIUxbD--