From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1757174AbcGJNVa (ORCPT ); Sun, 10 Jul 2016 09:21:30 -0400 Received: from mga02.intel.com ([134.134.136.20]:49420 "EHLO mga02.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1756887AbcGJNV3 (ORCPT ); Sun, 10 Jul 2016 09:21:29 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.28,340,1464678000"; d="gz'50?scan'50,208,50";a="1004110945" Date: Sun, 10 Jul 2016 21:20:02 +0800 From: kbuild test robot To: Nicolai Stange Cc: kbuild-all@01.org, Thomas Gleixner , Ingo Molnar , "H. Peter Anvin" , x86@kernel.org, John Stultz , Borislav Petkov , Paolo Bonzini , Viresh Kumar , Hidehiro Kawai , "Peter Zijlstra (Intel)" , "Christopher S. Hall" , Adrian Hunter , Suresh Siddha , linux-kernel@vger.kernel.org, Nicolai Stange Subject: Re: [PATCH 4/4] kernel/time/clockevents: compensate for monotonic clock's dynamic frequency Message-ID: <201607102149.fPtXdLZl%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="bp/iNruPH9dso1Pn" Content-Disposition: inline In-Reply-To: <20160710122345.13061-5-nicstange@gmail.com> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --bp/iNruPH9dso1Pn Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi, [auto build test ERROR on tip/timers/core] [also build test ERROR on v4.7-rc6 next-20160708] [cannot apply to tip/x86/core] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/Nicolai-Stange/avoid-double-timer-interrupt-with-nohz-and-Intel-TSC/20160710-202914 config: i386-randconfig-s1-201628 (attached as .config) compiler: gcc-6 (Debian 6.1.1-1) 6.1.1 20160430 reproduce: # save the attached .config to linux build tree make ARCH=i386 All errors (new ones prefixed by >>): kernel/built-in.o: In function `timekeeping_mono_interval_to_raw': >> (.text+0x66436): undefined reference to `__divdi3' kernel/built-in.o: In function `timekeeping_mono_interval_to_raw': (.text+0x6649c): undefined reference to `__divdi3' --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --bp/iNruPH9dso1Pn Content-Type: application/octet-stream Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICDdHglcAAy5jb25maWcAlFzdd9u2kn/vX6GT7sO9D2nixHGzZ48fIBKUUBEECpCy5Rce x1Zan2tbWUvuTf/7nQFIEQCHyt2+NJoZfM/Hbwagf/7p5xl7Peyebg8Pd7ePj3/P/tg+b19u D9v72deHx+3/zHI1q1Q947mofwHh8uH59fu7h4+fL2bnv/z6y/u3L3cXs9X25Xn7OMt2z18f /niF1g+7559+BulMVYVYtBfnc1HPHvaz591htt8efuro158v2o8fLv8Ofg8/RGVr02S1UFWb 80zl3AxM1dS6qdtCGcnqyzfbx68fP7zFWb3pJZjJltCu8D8v39y+3P357vvni3d3bpZ7t4b2 fvvV/z62K1W2yrlubaO1MvUwpK1ZtqoNy/iYJ2Uz/HAjS8l0a6q8hZXbVorq8vMpPru+PLug BTIlNat/2E8kFnVXcZ63uWQtisIqaj7M1fHswrFLXi3q5cBb8IobkbXCMuSPGfNmMSYur7hY LOt0O9imXbI1b3XWFnk2cM2V5bK9zpYLluctKxfKiHopx/1mrBRzA5OHQy3ZJul/yWyb6aY1 wLumeCxb8rYUFRyeuAk2wE3K8rrRrebG9cEMZ8kO9Swu5/CrEMbWbbZsqtWEnGYLTov5GYk5 NxVzqq2VtWJe8kTENlZzONYJ9hWr6nbZwChawgEuYc6UhNs8VjrJupyPxnBqbFulayFhW3Iw OtgjUS2mJHMOh+6Wx0qwlMh0wZRbK/WIVrKbTbuw6R54PWmzomTAfPP2K/qft/vbv7b3b7d3 32cx4f77G3pGjTZqzoPeC3HdcmbKDfxuJQ9UyU/eqJzVwQHrRc1gg0H917y0lx8H6aJ3CcKC j3n3+PDl3dPu/vVxu3/3X03FJEd148zyd78kTkSY39srZYJznzeizGGXecuv/XjWexDnJxfO 6T6ib3z9BpSjCxR1y6s1LBlnIUV9+fFDz8wMqIYzewHq8ebN4G47WltzS3ldODdWrrmxoH7Y jiC3rKlVYiQrUFletosboWnOHDgfaFZ5E/qPkHN9M9ViYvzy5hwYx7UGswqXmvLd3E4J4AyJ vQpnOW6iTvd4TnQIWsWaEmxX2RpV6PLNP553z9t/Ho/Bbuxa6MCyOgL+P6vLcB7gG0DX5e8N bzgxlFcQsABlNi2rIXwFzr1YsioP3UpjOTjYwEgbiPjJETjLcwycDHiARJymgiuqw6E9sTac 9+oP5jLbv37Z/70/bJ8G9T8GILAmZ+VEbAKWXaqrMQe9JzgylKCbZctQkZGSK8kgwBI08Njg R2H1G5LrHEvMAWSSgT+tlxBM8sihWs2M5fG8MkQdVjXQxu9WrlIXHIrEDizkrCFK5hgkS4ax Z5OVxKY5N7QeHdYx0mJ/4Ayr2p5ktnOjWJ7BQKfFALS0LP+tIeWkQheee1DilKF+eNq+7Cl9 qEW2alXF4cCDrirVLm/Q50lVhdYBRAjHQuUiI4zDtxLeBI5tHJWQXkKoAmdv3dYZ208VQv27 +nb/r9kB5jy7fb6f7Q+3h/3s9u5u9/p8eHj+I5m8gxdZppqq9jpxHBl1xp3LwCady9zmaAsZ B9MG0ZoUqpldIdCzIdfN2GTNzI53VoMxSl23wA4nBT8hXMEuUmHEeuFwyDYiYWuYRVkOh9ML w3CO7eA0NSJ4CN7OlaIGdqEUgG71IfCSYtUB/XBPV8flKUoHSoWdFeBARFFfnv0a0vGkAEaH /GPkraRI2x5Rg/OTDaQuPsYD6sy9MVDwbI6mDgJNhdAcAFpblI0NXGW2MKrRgRk6YOkUJMyG wMdni7SVHzzw+EyYluRkBdgyhIMrkYf439QT4p6qRW7D3e7IBZztDTdUPPICAxYdmmqIPrG2 pt3mfC0yfkoCOpk0iH7K3BSnBwE/Ts18ybOVVgKODJxArUzsNCCMg1MHk6SsxB0wwik3RNgO HHCBiBqMLwP/l5Mzw4RmQxlBucI9cRDRBIfjfjMJHfuIEAA8kyfgDQgJZgNKDNWAECI0x1fJ 7/NANbJjLoER0G04puhVbOWpGKZk1N71iKc3nAqQqahUHsJ9b3AiPwtKB74hOJKMa5dk9X4m bKMzq1cwxZLVOMcAquti+OHdXwCT4pEkYDkBymuigwUFl+AP2y7EkgfrT/8HErgKQqQHmkC2 GxlsRk9pfWAfIOmRPreqbMC3wqrAYE50Ch7BugQH0tR1sHfagBms0t/oE8NkJ/LDyU7TcQ1H KxpynQVMOEjquVYhbLFiUbGyCGzABemQ4IBISIAjbkf4xy59tnicExM0wGf5WsBsuw4oq0eN cDg/HFRnov29EWYVuU0Yc86MEaTLdPWGPHS+XnWh9/aI0Fxg70pwevvydffydPt8t53xv7bP AEYYwJIM4QigqiDiR10cZ9Pl98iENbRr6dJ8chfW0rfvw9GE++7KUmZF63jJ5hOMZk65hFJF kQPOoObSAeIWcldRiMyVVcg+AQYUokyQVa/2/JoDHFUmdRPKtwrIPcXhAKdrkan5egQ5gd8a qQGZzzlt8M2Jpm4uro4Ktg0aj0ElQxRIoVWU5QXshcDzaaq4RYJE8JwRUgHkBHR5xdLsXsCe IDyByaX54CqtvXiq4TXJAJ9PN/BUgPZtQXnqyLcMiagTXSq1SphYy4TftVg0qiFSGAuHgMC/ S84IYAZReQNRHVMl58ZdHToZxfAFuNMq93XhbmtbptOp4myAmuaIjre8AsPgzEOLhCfFNZzY wLZuxDTugZ8Bet2YCnKXGtQ/hIWpryA20nGJjnsPYLrl5Y1M9cLt1qDRaXmvO7jWsgIQq9RY 4k166Ki+8jTBy1UzUf3EmohPpftaFjE/yzP0QC3Yaz3aGoAhbnWo2TwDWJdglJhJ4cJUBg6h SpFOIgGb3ZTM0M5yJA2qp0h/5U1znDROGEqFVQfe1YwxiaDkXD0ZXH5w0lLlTQmmiU6Cl6gq 44O2ngO2oOS4tj6+7UgE+DVWgyhTjFt9js9O6U3XChKnKIYFC2J2SewdXmjMm8RYIUmrwBHC 7l8xkweTVJBsAsboCvIfRwzmrqiSdAYrCYMHLopxJr7I1Prtl9v99n72Lx+7v73svj48+qLB sS8U6yqKxEqOJ+DE+rgUoRq3G73r865xyVEVokRPIsQKHbPDYxbD/+VZogwRenEkX+0CO2Z0 EtNJNVUqMfA7G7ap6mGZ4ViUjkFtLyAo++iYaPwminkJo0+J0l6P/Osbckm1ERIWBHaRtyvE y5NzsL7cUUKgivO/OZYFiGaaxfU9ZquzIAGp3B0NrFtDwMYtHdUWjncjrFYYxIwM6qPupH1j 2FJ1VYVu0d/GTTBxpCneEUm4YnTuxFxZchCZ5qSNzRXddETvag09BtYvu7vtfr97mR3+/ubr cV+3t4fXl20AfG/QzKPrzNGdVcEZRFTuE/vwxBwTC6u9BN6wUCePglK76BR3PQdHIiMtWIAb KUTsp6IB+XUNfgcvF0/lTygJKAHvHbSlISSKMDn0Q9RUegepbNHKeeAde0oKY7orPmGEvXwK YLmreoDywVYZvChzEIZMcZYbwBqQT0GwWzQ8rBHD9rG1MATlOIsB2veco3pRp8IDjAA/sHz/ Pqbo9XItY5L1aK8v+4TNXbJUhPk3JEX9KoaMYC2PouTBlK6Jb0j6g25tk6H+KJFUGiEIYQ01 SWvl+ecL2k1/OsGoLZ0GIk/Ka5p3MdUhhNJaNFKIH7BP82lT6LnnNHc1MaXVrxP0z5Rrz0xj VQT1pIv3fCL3lFeiwhunbGL0jv1xIoDykk30u+Aq54vrsxPctpw4nmxjxPXkJq8Fyz629K2p Y05sGCbRE60wIE24yw6ixK7FOQ0s+HUPOHy1/SIUKc+med4hYhqDcDHuGvQ5JnQZx8V5Slbr mCJFJWQjHcwrIEssN5efQr6z9awupQ0CZHdng5CelzzMJrEbiNh+smOyO6PolVTPAV+eok7X ALSfNWS60km4fEDympHdNjKL6EvN63GZI5eCGMFeCRW9MxFKyqZd8lKHaKFyr2QsPmZIQoaV dAHfcyXtgvrbK0y+TgqsVQmukxmqoN7JhCfmGzl3G2uAS1gxfUjVVRFEw43CiisWuudGrSBw oFPG5G0ELmQcjj2qCUp6T7vnh8PuJbpYDBP8TuGruI41ljBMl6f4WfJMLJRwEEJdwXk+RXvC IRPaQPoYvuHrfkVrPLugHwPWCix4zoZexedVupO4cYW4jq7EAOGCbYGPiJxxT/QLojz4UcLb 0YiM6Z3zP0VyR+kOylIG5vyFbkRkl5XC22OIwXRdz/POyRzf8y7OI6izllaXAKw+Uk165gey yRnVxF0pKkhReX35/vvn9/6/ZA7xQWiWVmT0cgOakeemrX2VMuG7KljMHjaoIZ/euHYFYFUY vuUVI97IOYA9zXaOtn8AA8lY6F5FiQpb9sAUH040/PK47JNt+0lJVjUsSkmHGXkedZnhG8e9 tS7G+XZBMjJ0h/YYOhZfIuRyHgO+iNx1Gnboz0LYjJmcaN4tF8B4ydKihuu6Q5NgF4Vy3VMx wKmart0UnJs/j4b3Z9WLoTOpyVnM8eohKazgZUKW1vePlrsw/ax71Z7WSg+oFdaBgpFlE5ZR BwRvKdTSP+VyZSr/yCU3l+fv//siLBOMS2906a/krHJAhgrcYboKP9Is7EgKcxEk4lNWe/nr MMyNVorSypt5EzjBG+vvfQZf3D+ShKXq5OVKL+x0lOi6rz25N5n9bcJUxQL2lBuDQMDV3L1z wjvtcERXvHccvAJY0Rc6Pu9c93XdwJ3peuTO3QU/JOcKH1Qa0+gJHfNRCPDkGgs6V5cX5xG4 BeWWTTm6gOoFahNpFf6G7BIWJ5IHE9HcNLmrbtt8zTX2zdbvLlEYAHxLDsILOgHoaud02Lpp z96/n2J9+DTJ+hi3iroLcvHlzeVZEIU8/FsafEQVZNt4Zxf5B8Ps0t1VUHEOnIFA3AZ6ajDU nXWRLnxrAcDOKfqp9u42Ddp/iAOlqnXZOBgdVFHBX2JyLkP2+whHu8JAyD11jbrOLX0lncnc FQXntHlDABPFpi3zenztHTrlzvV20znW1Xb/3r7MAIHe/rF92j4fXGWNZVrMdt/wU4+gutZV yYMQ1r1jH0p1CcOuhIZJVWFw657HY9ZXlliSD19AQTAsOddjSlzIAyq+uullh1xAtldsxadq RFomwqM3QUfm1e8eBweF/i4kUPaahZcN+KtHzE7f7FAfDo9Fuify/kIDm+jw0wlH6S7A/UQc arfB5ynDk4Wsv4JckFU431e6V35MwMOF9SNMtTR83ao1eG6R8/CThbgnnvVRaqofli5vzmpA Z5uU2tR1jAwceQ2jq6muCzZukNMFeMdz2b3hcMbRjXm/Iz6XF9ET6pg5Gk1oMmd2vNh7jA/A D8cWCwNKQ19GOtl6yY2MMalfTWNrBcps8ynl9HrYNhpQVD4+u2kz8HPMUH3I55ouhsljBSGa lYJsXFQjer8bQnXpdDyYndN1VN924iFduA2S10t1QgwASIOvt5cAk68AQ7WqKqmawWCYTPPR G4We3l27x0Mgg65V4I2N0nDOU89Y7ES8ZjpCqf0L5Vnxsv3f1+3z3d+z/d3tY1Q76JU8rgI5 tV+oNX40gPWqeoI9fnN9ZKdYcCzRo2fsKHgm+P9ohA4Ji/MTla5RA6wDunea5IxDSVXlAFIr WkPIFsBDVOjeyv3nrRysaWpBhexop+N3lKREvxsDZo/44eIpfr/kyaMe1jcxwnExwD/q3tdU 92b3Lw9/RS/RBoCq+6pTjH+zDAfCcaavtTqPfVLIbVGlrtr4BoCU+DUpeAyMPpJHXS+uHZ6R irrddqhcc55DpPblWSMqFQ8w5nt/PCUl3Ac10RwGpiXjjFvHub8igomOUiC/e23l7vLp+r2v fVYL09CeqecvQcOn7zMHXTUjf7X/8/Zlez/GlfECow+VYpb7ABTf3ENO7rK6y+FbjZm4f9zG zi8O4D3F6XMJ6XwYmSKm5FUcqBGt4SegdpDLVKNLTmmEV/dubDe7+eu+X/TsHxBMZ9vD3S// DIq8WaRzGG4XCvNVOoY4tpT+5wmRXBiekXeOjs2qAHkhCUeMKb6HmNYPHFOj21fX1H08ZdN1 ZdX8w/uS+6eyU3PnCHDnDYngcZ7NqO4TjSHtRPDNTiEd5Br/4WufMGGKMSlra/INq7tnzgS+ 3i8MIKAoX1rW3ZdhUU9CrSdH0WZ6LZpZQSkg8vpXe0N23qEuVL/RJQTQ/tztD7O73fPhZff4 CAnh4Mmjk2nzK/fEgNJ7//AqqML6T8u7l1hDgccyckk2w6SbArCluI5Kyrz+9On9GSUp87aa x/uL1VByPAPzygWVUjins7HFvDdg/n1793q4/fK4dX83YeaubA772bsZf3p9vE3c2VxUhazx 3dywF/AjvrbphGxmhB59iamaSKk7WSSTK+n4Ukzc4uPIE3UTP55/SSRUVLvTMnOcgVKFYBF+ gKtbdO+v3DZV28O/dy//QiAw+PjgFUe24pTiNFV8vvgbXA+jCn/XRfgxB/5yf1YgIXXfbIQk 28whNJUi2yQMX1mOgYlrgEV5W4uMfGyCEkJj4SbekRXfjAjBEMcQEe6k0P5Lk+5jy8FQNH6M gLAwb90tI5UYgpC/gcxKBpl5HnWrK53+bvNlppNRkOyKWXT/yDbMJCsVOn5a52mgD+BjZXNN dOUl2rqpqtg34Qa4RdB+YVOBBquVmHg877td1xQsQl6TB2MG9EI1I8IwPxufVsuWCYFbnVBS fXBEpynp8I5D7MOxAd5JddcLivw+MxX9UV9zTpqek0JTCy5m3dwyTZFxKwkykuDU8TnzJpwD 9gL/XBzVmLoY7mWyZh7egfWZVM+/fHP3+uXh7k3YTuafbAhEQAsu4l+d3eB1f0Fx3F1XwvAf r6HltznL40O7QD14iileEaKNv+h0gbSnNT4y0elERcnCN3a+l0B5Jg7vYuLoL36kR9PSo+Em RU8oVSjmdrr7JNDf4T1FS7cA4cKld7T2wpDwGtkVXnO6O8p6o3mylSNrQ2Jk7T2FFnXOWOMn JK54m3AhkOCT35TsHRhJ/EGHWkgr2/WHxJniXxjBWxrJDFXGRLvTte7cfhFHHddWLzeuLgeB TOroRSFIHD+ZCIf0xBMYeZChLNoH+93LFoEA4KQDwMj0r0aNOhogxIgF/ypF/Fd4EhZ+qB2t oUBfUbmLQ2rPCv/1t69sPQXk7mCeoq662j2qM91ZJwB8gPtx4xpf9i5zKmIjE99nhROoW+O0 KqbhFw4xpf84PBkLVjUxkP+7MvFI/DdM6pJ+8QYq2pK80cPKAtEpenGVj+nHA7s+7rDTkmsH pveQcDx9eXje3s+6P71Dacg1bBfYQNr0cPvyx/Yw1aJmZsHdxtCz6QWq4ociEGmkHc0c8P/d nycmXOMfU4Ek1fmnJ8qEjmIeltLYyyZAEX67PwD24dNFhJ+QDqkwPlYQEzAuEpEsC71wyIz/ +FnHQ1VshZ6idweUzqjjTseekdjEH/oZC9JGGcpJFl0uhCxo/J/1keL0kIG8dAvD3qf2A9gC X51ND41/ksqdfNj92iarWVsXP+hu1nb0d2scEczQf3B19qH76zx6bWeHl9vn/bfdywE/Uzrs 7naPs8fd7f3sy+3j7fMd5nP712/ID/M53yF+zabQRibn4SUAOqZz8Qy2TKB0wJtkRGg8oNus 1n026la2ByNFz/IynrmZSKeAdWVMsvdtmSoTipV0vu25BV078ky1pv9WRTfYvKT+pMnANOny 89GG2DGF5ymp+r33a2637DLasKS/QXk+B21uv317fPg/yp6muXEb2fv7FTpmD9mIpERRW7UH iqQkxvyACVqicmF5Z5TEtfZ4auzJZvbXv24AJAGwockenIm6mwAIAo3uRn98EOf74vfr82fx pEL/44YkoJ+0IOw3sRCHqKxa2lEMBNbBdcQUTUqWn2HlUUcg8BBTUOLEB12XHobjMRQqnM8g 0h6ANTD96wMyZ3IcM9kqZ3+E//uUUhzCmNLw5pSGrikNbSlEzQ4dAzHNnmM8ZsOz+Qv1DRnq 0zRDyFMVnzlmcZo1MwIl/Npgdd6P8pH2WVS71YF0HlL4Jj4TQmW/a/L0YEl2EkaIgQoxH4Oa CYknxqAeBLJsZ8+LwgECfdRRTaFQ7TQvk2VRR1ek2VcjiZZ+Hzgej0s61FknaRg5sNwFDkm4 JfJqGFtK0VDsrkVJjTavTmS8peUTjeRkBfOQ79lkrLiQY0yr2D34nkY1mbqooZDc1aAUfKlX EEIxff6kSaJ9DWn9SSZjkWBCCFgkSZ6+udQ/1VCPRP483k9HBzMuKJpXGVGOjx/+bcVUDw+7 0j2hjCWlBO3mARTpdHfo693PSeWKUUEaZZSS5sj+CCImGqH+twf4MabuLpz0KuuATmb1P3uX v9Cd+HSyT/nppnuRlLazgmxOCSVxW04LAn70SaFv2AGC4Yp5YkbHIg52C73rELlr/DCiI/0K nzRXwwa1FzuxyPNDCaugqmvmzMQnCXEzK7ZIOyILAuB73r3ezQTtD6eGZhkaTXkihYc0S6T+ MT4jIe7LgKLQLKjww9flvU4/8DoVfaf5ZrVxodla8AIzZqzIBFh7Mk2ZeTYCoM+qJKZfs/Pp 7VHEjLo+Zcfa0KvCoj6zuNJ7VKAb3oYDRXVMqAcBLKzVt59EH/NDiakU7MEI7LFmrradMpBO VNa7vMjby3cJ8WO7VqlOBwrWjRc6AEXWgQaaNmroBMFD6kDgxtUlMKpVnFFqRnQanNK/OEhL TsmzLMPNsjbyA0/QvirU/4icbjl+ODJCR3uEYxZTXb+fUMSyA14qkQ5j7JBHUZxF91+vX69w MP3EpTpl+OUp6j7Z3RuWJwE8tjsCuOeG+jnAgUc6r8QQzxpHkrOBQFimaaeqgaQhr20GLF6S z4bL98SLtdm9dQEnoLv9nPTQZCn1uim3jeEzEvg3o8J5xiaaZj6I8h4naj6O5FjfZXPy+/09 NTqMK6TvTQaK/f1fIrox/ONxPx8Py4lBChf/wVfv+fHt7elXpaWbCzEpTNs7AjA/jH4XN4Db JK9SPVnfgBCbdTWH789z2EPg69tKgW5k71QEN+5BxBD4iZlfcICGc/Aew3tmUJkndA7HlJFk E7oOKa6ESzMX9gSTmZ+0/O4aCoUi00A8YKrdpaV0PY3kQQ/m1uBKs6RabYHF3m40Z9yUO4aX jh0ZWAd8Xt3iFftcv2tNE83NL60wAxqvMUW95iMD/C3GyDvjcmWCDv9Lu0/pdAUVg6oRpHFL ddvrgSsauLRdNfSmHHpHzbLqxM85rpBx1ZzkGcSNdSRutoRUPsUuMnubIqQ/8NqkGaQF4+BC eM6c18hHbi1jOUi8yLGWQBHALuTyivBEtNTokdvNXuSw1m9XOx3PRQSpSs1rpjyXQHHDiXyZ Qsy8XYRcjBmd+aU3U4ju7HMHt66yEpiOS4v369u7pU6KUdy1h4xS6o9x2cSpGKJ0pAN19Pq+ aB4/Pr2OpnTtjigGadhQgOA3vHwZY6pMh285DKCp6WO+qfk8o0Dc/R1E7k/qjT5e/3j6cKW8 +cq73JFKKGT09emO3WcYgmJuxktSlz3mEtynlNOPRnBMO303CTiLtcWnYBnTmPAlLo3jwpEp JW9ScosbIqmwf2UpHY2JFhGH/QcxDqUYDSxZsXcU49i1WuSudAV+/np9f319//3Gl4Gnjkn+ EJOOPxJ5gj9t3oAdNKdCf9V4D7uhoRX2fX+XaDr7Pt/1zYPhl3DOsfaJfit/Rrnc9GAUIAxf 0jbo/oAysmecPEIw90Q2rdIKKp8+q3oQGUtW1Fhp5xw3WKuG0u9G6iRr2jErbF9XD2bO8oGs yeBHVhSYmrE/YrrN24NAeuFqLowWZLKVabzSYMPongkddU4kNfG4wH5TSime3hdW+bw+1YjG L6IPo8h3AkE0qbQZj9Bw4P0TjHjnbUPn1tDI1OtjHnKxgvnry3Xxn6cv1+fr29uwthcYJgKw xeMCa48NXsaLx+ffXr88vf+ulSoY2y4z/f5qBOM+1N9wRNyaaL1RPgSWu1Rqs0URCnBrDkCu G26bO1l8Sgs5PucApc7J/V1eFNMOlL+HlzOBecVMZ2AFl5lG6WBBRXJgtlKznXlsbplIlnBD TdwSplSNHed7asFm7CjiOHTOrWDoi9e2lxttDoSYNFAXDB33SmTxh7Pt2ZVixRTMwGDKAsBv hI/Ry/RlL7LjESGNzpJbpyO3nio7PX1Q4EU9d3p+kFm0ZY4k0sZ3aku2t9J0S1hforcPaeSM qzQuDLswzKroaZ83pYhqFIU0Jvz+LDJ4mj5fI3FeudOQAlNp4pFUKzkwNilzCY95oKbmKYJ+ r8K+aatvgcIZGh8pp3VtinBzpk3uWhaKIDs1Dq9hfuFadkKSZCxjwx5UNkXqMNKpMGDEqmUE +9Twqpe/+1wvb6JgXA8iV7Cy1AXg4WG9uhBGWIgScSmWLNlbXyCrEsnvKD1SJIwV2UfUGv/1 8euzjAJ5+u3r69e3xcv15fXLt8Xjl+vj4u3pv9d/aAFW2C/WeMBiA2htOxi8b0RzTE6Biix5 kutUWkPfXA3ltPhnEpFMV2RMweQOwqYbTZFZUhAzdi38U83SQk9HREtpufVeH3W9xzCG1iEX AhZ9wwwJa4KpeLAJbnxv+G3jRRCRGVcEUAzZp8uL2NkHZK5tU6gYABoHV6CeORK1KfSBUxx5 wMZdFG22mk1mQHh+tJp1jwl7er1emhHRIMIZ1DEtTvZRzGZz3QuIVXCnoCif3j5on37gClkF 3ICjB1ZQnJZ+ql1kpWt/3fUp0xPla0CxpSlqc18DSysv4mvplyi7so85reSxY1y1DgWQHzB6 LKFvyEAyLgUXpRWmhG8Dn6+WdG5J4BtFzTELLkYG26xvJDsCMyrIrAws5VsQkWIze3fOC3+7 XAbEExLla2liho/RAma9XuoTNqB2R28T0UlVdJINFVY2EIihbpfa9dixTMJgbZgpU+6FkU+0 0uagwCebtafZ4XYlW0Zr+7e5QBSMMyv0E7OtkYGFD3ynLDP9nsfbVbScGgNBsIVv1GcJC3oJ M2ariSmbOItRQnoxfo77fmmBVZ2MtQlOYHEKPxax/fTtK+oyYibEATfJDYlvcxYJgb0BAwUV zffMFEMyBi9jaAeZHBGHlSrgfdz6GvuYgOsZUGZmmYHh1AijzXqaDwXfBkkXzqi3QdetDA+o ZLfxlrP9JoveXf98fFvkn97ev3x9EWVbVCT05Hf5/PTpuvgIPOnpM/6vfhi1GGt6Y/0ir1Jr SxqA0DfscbFnh3jx69OXl/9AV4uPr//5JFw6paO13n6Mt9sxCpXMFfYhEkw5UlqMWPj7DkHb 0RQnKYSeSiI2Nf/0fn1elHkizmopaA/iN09A+5iDTzUjoFNDRwx1dSGTxy8fqW6c9K+fx8Tk /B3V23JKpfRDUvPyb7bWgOMbmxuWVXKsDamnK0SWflraAaSqQxoz+qsgSZZR9RFkbYl0DE7n Cc8HY9RscyGyt/IJCFhauoJ4Aals2CTB/oFbqU/khGZZtvCC7Wrxw/7py/UMf3+jnI5BDcnQ OkW3rZAgNXD6Yr1ExR9zkSrdwRlRSMj703LF8q695TxuYWV5VqxSGleK4xBL+/PXd+fUD4q/ /lOaCF5M2H6Pmb2Euc7CoB3ciMeQYJl48g7VEgtTxm2Tdwojxvjwdv3yjBnBnrDE1K+PhrSk HqqxTsK8mwHeMx4/dPabjFieNFlW9d0/vaW/uk1z+ecmjHTGgkQ/1xf6NkKis5MVmzOALfOD 9kVmur7x5F122dWxXpVvgIDQx9brKNJ7s3BbYpwTSXu3M3baiLlvvSUpw2gUvhcuyZ6LO2j2 1rOmncgAiyWUpQS2TeJw5YU0Jlp5EYGRy4tAFGUU+IEDEVAIOK03wXpLYRJOTkPJGs+nTKEj RZWdWz0ubETg1R0e7HTDvK3P8TmmGc5E9VBZn2FOg/H3lHvJSNCJFTIfIHIbOEIoTMw8r+vI vanZV/En7FNfs4MNIJAPjITMI3x3SSlwUR9y+JcxCskvVcwwpt4w4o7o5CLKslAG15FGBPdZ NbUmLKbSbzMzf47WfYaySO6odTB1UT8kxzsyj/VEtMc04aqrGfJUkjMMulQeG/c0Ei4d7bDX GyPbJeV6u6HWh8Qnl5jF87ZxRlA8dD534l3XxbH96U2uoMY/fD4lb1pdTWhQVhyyoGLZGF5N CwiSRLiwuwKWBQHOljwXblDZKTEUsinzlbzN0v1eEWhNlInkDmFLIPcerUkrJJ1zSSKDubZz BDFUCO75T/UCBQPDSGHcihPWHItC/OzzaLnybSD817T7SHDSRn4C+sy0ACQcJAfJgTQ1W8AT 3POkkoLoIt8hc/lmP9bEZ4fujlilmFgN2z1zv6STcqpGmsRkbArMdgb0QU7Z+PsQl5mtpQ6w vuJwlNMm44GkoG0yIz4rH7zlHb1iRqJ9GZnmGSkJg+74+AHjf2bmq7Y18i+cXNlWtlHP2ovG 1VW2UhdQlUkwgk4lL0PvdHkd4ciyU9W/1CW9bar+4LB5CYN1z106BEh0roz7gLqzcFLLuX55 enye56dTbyHSVyd6dnGFiPz1kgRqpZ1FxgijuplOJy2W9rQJ1B5VY8rTQicCEK/1PGZG47ol WEdUTY8OBFp6dh3bYI2hMhtJyNENpamcm298De4ocazPlnujj4Nq/SiiLPc6UWmWXzBQdefQ SSURGsqJIlvSAej104/YCEDEOhE2GUL9VE2B9Bm4MmQbJHRObkWCs1/kpIefojAdLjSgtirs Vn927CmF5klSdfSl2kjhhTnfdDfHDstnlzVp7HCZUVSKg//cxgfbncVB+j2yfN+FXXhz5tGG +r1mOqwU3MHB8F1KOD9uoRvmPpwADVujL9j3+oBfWYdVT9P8kCd14bh3Au6uCnJTxtwmr4yg xoJRi4QxWlk+nhJlEpnWG8KMqycEGIn+FEDPdDcdPsKtYBgDpZ+zMgeJpUoL06VMwFlcYVUB vNKmxTskkkaaqY6LqxOu+UopQC+uaQf/FSMlC+J5vrceOaNnbKrnipDjRC/ger/XX+B4Vrn7 6VPvZFnjJ2Ew2Ia02ID6ASwMx8auq4tDMC3PdAZdlkSbIPxTyviTPwRPBoh2wUPmSECzvyyr YGV+bhP4Y6UFyDXTlAKgpI3xC/oNhI7KAVJl+omsY6uHU23o6ois9KJfCJDNGwmpDmPD9BZL RAZHJy5paL1mGBtvg+AX5jsu5LIicVQFhZVsiuHAoIoLZlN8sSF40TzE7IOyMrcb+naadZyw Iee0ttABKmwEVgosPxmywZgwTJdtGPkAWAq7nrxP/fr8/vT5+fonyKU4ruT3p8/k4ICj7qRt CZosiqzSY6NVo5byOUBZEm/XK8+4UDRQf1IcQFHA+5stKncU9NkwX5WXxsSLMReYkHX0F8YX HDU0vGqYXlQl1FxAIwD/C1k1ZfO5tw7oQLkRHwa38d0NfJlu1nRMmkJHnkN9FXsxctwSCyR3 WC0k0lHyDZEszzt6p4gtfiNVsfhKOWhhW/ecAT4MaEFBobchLeIg+pTTsqTCwekxkyFFzQzH B+ZJSVxt4fb99vZ+fVn86+vkLfnDCyya52+L68u/rh8/Xj8uflJUP4KQ+gG21d/M/ZQgU1Ab xug0zXh+qMTVmpX11SDLDv6SzIPjJ9YBgZC7rGRFau6OemYcFZ83iW9XtRVEDpld4W4OnOdl mzkysABaynjze+Q/QXX+BDI+0Pwkd+njx8fP7+7dqa7EHVM0eKoUaIGx56CN0TB7misc9fvv klGqIWgLwPq60rQ7ZKozyvBivlxg8ZS3gJif9mFnD8gdZyBXDDrTuH1GRhLkh98hofM3W/4O nCo+oeFkuMl4VQkbrHx8U6lPBp46u6fBB6U6oelOCOty8S8cObkRUo9FR/J2F+s58riqRAKS pZ6pAcFJnGZGrn75FsNmm73f2V7FJlK4+BkdmLsOIUW5WfZFYQSKIRz1C8sqqWFrWDZ5dbEf gn3lu7S7Ee3ceUjSgBSDBW0d/YIGGQH3Xfr2VLQ1S4p8jx5r1NU0knSYnc+cDrmR7bf45VLd l6w/3FvvP66UwQdMLRlrgcCfjHDSZ7muGXqmilgFcwxtkYV+p9tDmVn348iJvNqMz0UgABpO dYw7d0DVMkH+bWruw/OTdCAhmsU8C+gCfCdlcqsThSxSV5ZojcjN8TQideSMQ/sNnaEf31+/ zMWhlsHAXz/8mxg2vKK3jiJV3Fo1l30SubbZ8VLkO1GQypXUcvH+CsO7LoCdAhv/+IQO2MDb RW9vf3f1g+tP89VDA/oZ9W9pyIul67xRh4AEKP9iwxfT3LuCyqwOpVpCzRq3kOn4jYwTCYiZ F01hVnJuNT+rrSyg4oJ0OYnn0pH35fHzZ5AoRBez40Y8t1nB3je9juVLDAx1MlMLcJkysi6g mJ5zzOwpG9ylB8lAM7kLdGNLMgKck/xCoIpL1Q3XgeZDpy5ar12PKaZiP/PLXGBgsGB/VBOH tzE3Js9brvoU/l1FmfXaiMFs870XzvpUOHjKNdj9xouizpqqvI02s4ni7okCVOB53eyRM/fC xOx7FE/Fu17//AxbcP62g7vDbE1IOK5w+n5DElXU8aGt3SW1ov35J1NwuzudRGiHwfxRBb/9 6D5ab+azxjtv7TDvCnzL8sSPvPnNXrlPvzOtTf4LMCHrayfNBXge2gpP9tpK4+1yvbbolZxu UhYs2K6C2bu0jIfrZUQriBNF5NCXJoqt45pTUpyLcLmivFjkMiyjwLPXOAKF5+//DXUqZlM3 40dOVVYQ7NrIIfvITSWdFXP61kOut6LPa1rlVSvmBrJJk8D3bgyA12l8wvrFpExzc+EA6/bC Fb0/yHIZEp0EQRTZm43lvBZx4WPXr1++zxHKhPkBX2q+P2dvaMP7EeMChbVkEsjGkZ69IbQc nYRq6hpoIkm5v4p8vZMJ452NeOEJZR+r+qD48+Mf+j0qPCUUJVlxz2pPYrjrBnKkwFEuKZZu UHiB8R7aoyHZL6J8yn/eoAg8R6tB4Gw1CIDJUN4SOtUmXNItbyInwjGWKFuuCMzu3t9gtdjJ L11Wv3xgmDLvGwW1U92yNLaL2Evu0qN0/2DIXArhKoApGZBqbTIug/xp96CKWfZRxMooXBqH zYCLkzbartaOZBSCxJ5jHR4ZDn4GhtreBoE/b5LvONUefoDOwSPHJuHIcRjXNBLLjd8iAL7k beBA0OIkTIzmrILW5wN873FyX2wMPBPBmOaPFCza+BvDt1phbI4wIyjjKj44AgwHGpitlbem Z8ug2VJzoVP4a0Oc01Ebh21Yo1lHW/p7DDS83AWrzY0xSClgu5zPrcD43oZaLYf44ZD1RZv4 29WtRdi066XuyTm03bSwITThJe6Yv+zGzTVpp2K/Y3luUi0V2Pik6UbHc6lfd4ifWETWUNoF UFm9LHuG9At4fAc5nzIMjtFD6SbwKKc8jWDlGaeygaH9iCaS0luSXqsmxZoKjpIoWqozaSi3 ZIMi8OZhWYDYwjGle1YNiHbTeUv6lVuYrpvRWECx8ogoMInw6O5WoU/PAKBuB38JijXRHU82 oe9Rrd5FbeaISx5JvOV3afZx6a2PzpNnCk9jRcbLhHhxvvOWZFhc3Hbs1qJJeUgF2mGQm098 6TQrCuAfJYGRqgfxpfP1HQjj9G3pOAOg1i7XVAIBnSLy94d5z/vNOtisOdV1mXjBJgrg27pc N1QToBGXLvcmSXIo1l7kdKgZafwlpwLsRgo40WNqpICgnSYVWuj+cTV/+2N+DL2A/Pb5rozJ FHgaAcs68tH1mizAN+DxYgCX9XwpClvEbJQ/JytyW8KSbzzfvx23iRXv44PLvUjRiGOHsvEY FFtirQMCzm2CnSDC9wiOIBC+70Cs1o6mQkfnfkjsNJR8PI/kOogKl+GtlxUk3nY+EIEII1ez W0os0AgCb+P7ZKthGNDdheHK9cSamBCB2BJLSPZOfUDQNYMlzaBh43e0I6Ga/jIMqO2Ityw3 H9sExEcuqeMDoBuSlvwIRfmdIGaMg7k5sohafqVpIJzgDlFRI7jFlgBNzsN27QcraioAYXpt mKhbS1p6KhFCBiJWPrFiqjaRanvO27oh8EkLW4H8/ojabBzpvCca0MNcTn8TzXZ5SygUVsWt MSesdNyYDo+cS/os4MeWYlcA9slJB0Ty/4xdSXPcOLL+KxVz6o6YieFO1qEPKJJVxS5uJlCL fKnQSLKtaFlySPK88b9/SIALACaoPnip/BIrsSSAXPALspFjrlph7vtV7sY+0vs533wDB+1d DnkuavqvcERnz0EWZVrRNIgrZMUckDWyMEts46/RacB3/zC6XPpwYMsdUlXR4srLVxzXS7LE Rac34YKV4y6np/yInmBSLwdiTPrmfZVgwlpRE89BFmWgXy5zfpbGyKRl+yrFFmpWtfy8MM9d 0JFVgdMDB12kAVk82ZwKAk51eoFjlp7DURJhVykjB3PBwxkyFE8s8fylss8JlyDdbN5+ANZu hlVIQN6yPCl4lqaAYEAFaonAEpCyzqZwP7KWcRJa3NzpXBHq1l7hibx4v7VUiGP5HnfbO3KJ +7WlIuQV/69lJapx2INC4+zIhByADo6LnjPF1kB0rVBJkrcB9iTSw49BO3eFMFW7sq7QfQAO HIOHQAgsL4LYnwuK6eRi/FtSdNK500c5CwdbtDWUoBeT9HcmEPDc4kduSDWrCoKPTcNqCgyg XiP++qCgqSV4QUa1lQu/9qh8XSNlXoG3PF0BVjz1iOzSkuiBewGhTXrNGF84G7o1LDF0hqnQ aQhzDj9wLqCX8PpdMzyaVKUky5AcU+KSNQSfzX0R6t19r5COTS0Ksa4pLTbl5Obh5fnx7m1F H58e716eV5vbu79+PN3qnkYoxVTJNuA5y8xu8/pye3/38n319uPhDlyLr/hhn0wvKJBIuXGG LIRfBBG3fsoLwzEyVb2MCrI0VkD4e2AHsU/Sqtau4VXcdvkrmUyNnEnH+cvP5zsR7GzmwLXP oNpmw3AZMxU0LlT5mBAA4PAyMDVGUKkf6zvYQPVwCbSFOO7i/d3DFj+RmjAviR1jRAsE1OWv 2zIHHSwM2pdpptxDASCMkh1VrhDs4hJX5+wvdjUnSKJbTNt1hWjlFnqE0wtRJWI1rx39iR/4 xQWVZ7XcVVgsJtIDQ4jlHOFfYYSxnb4H3dDRWwa3VpfLrAE92aLlp3Joiv8A7At+CHdF70xF ceH/2oJ7f+WpBGg8tdQXGEsv29TUu9EwXNVkWhpFuUZrJFq2VO7k1t5T+Gx6iMD2J6k/80ne ZKjGFHCYahBAE49IjtH9khgiROMtT3Q5ubhBGGPXJj0cx9oN60RNtGfdiY5KhSOcBP4ss2Tt xEjFkrUl4s6I69c9CI49WguURf56XmZebz13U2HTJ/8sTDNavfJdzo5mLvxEHPIJg9swiEQL mhMCZ3SmtKrB/fuTnigNWYherQj0kKi6DIJUhyxyDSLNU2Q5pUUQRxcMqEL1jDuSDN1BQT/c JHykeWYGejgYsrmEztz3mNZSys9bC+gNTVHZF0BW8NOm74dcVKEpMXeAuU6RpCZxgr9tia9N yopgtx3w1Og6oXY9LR8mXfzOSoIxdsIQde9Vm/QOHJ8651TjmVOh22bFoBtljuheI8q2Dw8K U3pvDtT5zjcicuszi+ILmo/f6rBzGTj+fHhMMKhlIeP0XLpe7CNAWfnhfC59YBIsWFI/TNb2 Ocwqi1AGoE2dUwgXvc7cL4TYb4y6CNVD9l01pUFceoGZ8FyFroNdjg6gawwqfrxdz9dMQbVP Dw4H6EtMD4KinFkKaLHMRICernkgHejhvKag6oL0lqgtdp05OiFXU4xEq177xLEtLjn/sk0p vP5+nzOAFfFRmkjTY6Xq20w8cGIUB8aJC61Ov++jvW5wRQ62t09MIK4nUYjVZi7JK1gW+mvt ilDBpFy+XOxwHpgjhsQ9IaOEjmCjzIwiusyrYZ5lNTaYsCs25eOTmh+IbKVY1OAnBineYs0q aLn2nRDvZw5GXuziZmcTG2xr8XL9BYuH9Z7QObrg7QIMXccUFrlO4vUH2TNMsCDKGo8UQJHO AREvCtZ45QQYLQ/CSfTEodCzFbtW38/M2iaRHVv7ltJieItB0/WHot7JE4rHiW/pYg4m6BOY wsNlYf2hVsfQN9WJRQjFaOJ2e/ycu+jqrzCdksSJ0O8rIF1T0ABRTTSF51xhvf1JhPEBqyek UENSVoBRXkZqI2XyDyYi9aqWoOrLOg910bWAhlUSRzEKTcI1Ui6XqUI38pdHASau6qjnfzCd pCzq+dZa2MRbk0kVck1s7Sxkz0Xej7P3AnSfUIRfHNMk3Akztf11RLsbybNCDXoz3cR9f7h/ vF3dvbwi3lNlqpRUwrWxGTFHoqQmEFKdnRSGSe4RLOCQBawuJh5MKBOsIhCYPSeadVgWBleX /g0m/oN14JcTu7M/FVkuDNOm1krSKSi1kS6pSxHrJIcU0aqihgkL3r7pPBe41aWHHHwYYodI KBp81Hr8D1K1zXHrGaeMic6TNKr/yQkR0St4VxQ7DD1V4olAO0cyqGfvR3x2tysGExYnTfS5 aOHCl+FNHE3aMN/CCtvYEZLL/E50fz3lR4XKkwh984nf6P1TcSowB68DyosbDTnkPHm4X1VV +m8K92a98btygS1HMslIy7T69SO8CGJHdecrLPF12sTpauva2EMSwq4P+9xcfWsW+fH9vhD/ w3cMwcNyEsYWLzp9rQiJYyfC7zWHTLZcHEFXfoHLg/GwFs29uwOe/G+1rfrxtPqNstV/bt8e 7n8fTGLlcLt9vnt8erp9/TU5f3j/+cz//Scv9PntBf7z6N39c/Xl9eX5/eH5/u13c4mjx03W nYQXE8onYDpf5RgjwkmpfJz6CaEJ7x/uXu5FMaPz8jdhZvv98X+Ko3KIBD+wjs7LH+8fXixU yOFWK0DHH551anr7HTzVy6Yq3gwFuH26fftmEmU+j995tf8rXayDQ4wRFq37t2S6e+FcvGnw VKMxQeSPhyd4+4IIN98enn7wL6RxUNn3q5/8i6148reXu+udrOu94bdd9jE71qp5iEIEJxWt +tSlYiwjiafdQplgfLGCLkddK7pOVIVMDRQzxJZSgJaUFfP0lx4Fu6Seo+qv6FjoOJZWXtLA ilVpENDEmSbay8vTGxh880Hx8PTyY/X88H/TzFDX7Oy06QOtbOd2dLvX2x/f4C0U8e9HdphR 6mlHwGuRsiZLggj6tmuP9A9XcYwJoAzUkXcNdoTNOkXA5j/45gqeIGihU7OWz+rL6HhJww4V neJtGfTtBgnFBeB2A77Ux5dwvGYiYteVf4VsCvmlFcHYuJvAk1k/p8E80JhKWtnCzVB2ikP0 TmDgSPex40R6eXJHKKVlo0GvL60Y7OtEk8BFNbMtfs8IYMfXZztIMpt7MIBJlfFPPhtVJG1X v8nVNX1ph1X1d3BU8uXx68/XIfS2llfdHE85OVrLKtYu/pYjRs0Ov8MAzOa+CDBKTja9apF0 Z3OtCmB13i30664ioeWCDeBjhustiW6luGDVt3TnLeSbFl13pNdPfGhbeT5d7GVvmnSPSWuy J4UbQ/7JpyMJ0FsiwwuKT5o9vv14uv21avmm8jQb+4K13wgspfQspKLHencts7WjGtZMHCUH d0Go3qNMIP+b0Ab8Jp5OF9fZOn5QO2g2Q0E0yhNCcBa+7LTX8pPruJ1LL7oO34yNOoHP3DJH z+mii7si2+VmfxVDUInV5vXx/qtqgivGhDigFRf+n0ucqFeYYvLwyd+y2g8ix1zpWgKT+NpS LsXhT/Qi+y5td/OZvH3lW/3qPz+/fAHnQqaL5e1GLWwMoAgLJtJ0vhanVVZq7oY4rW5YsdVc NXNiZjFX4ZAIpHTKKVk4hUJR/M+2KMtOEwN7IG3aG15TMgOKii8Hm7JgRn0A6yB8Bz8Aitju V0s4es4H0RTRkgFASwZALXlC+AEhL3Z1HzzFqNSmYfsesXZWsUM4JpyXx8p8yt5ohXbahM+S b/MOoivqjjGBne/04J/GUo+KgGYCGvYQaknSg3QZphYGCfrdW68FK0rRUyK4+y9koH4b3BEi R1j4mGKJtFW1rfBZAglvNnnHF1/sEovDfA6pCwNQ+GbNOxZfzcVwo8wK8h51cYNFAPkEsGF1 YHH6ANLQDtMS5sAU10MbBW4mNXH0dtX8OG3ZVWGiFCcrVsQBvnfBYMwTJ4xxYUSMIdMZglao XVKBD8FubGKORG0Qxa9kAbGLDoAW1gFmk0egX/OGLwOFde073HT4gZ9jvk3IgyKbJmsa66A4 Mb43WBvK+HZlcz0sRr0luBVMJWumKekqvhPY4F1ui44OfQsKIvgohuCRuwsLQnWvF30unk6n sS08NYszwOivWeWvcj7W6qbKjYFfbXhPofZUsIx1/LhA93nOtLzIsbkeXBlUUeu4nm5bTXrY 1TIzj9BAonyO6upPopNiF7u1Gdfaa5lm89tgIKYlobR3KK0pwXGsDLaO4wUec/BPK3gq6iX+ buvg8rpgYSc/dD5h3rcB5qvm2vMUGWcg+p72mANkljVegNl4Anja7bzA90igZzV3uCU6I8oj v3J0oil/Ao1LjH603u7U41nfcD4yD1vd5geQ/SXxQ+xlYfoctl6fOHp3YcsfdVBHmSHtucLI /bP3d6xAYW69WFxbJevAvZ4hLhZaZ0q4UIyvdxOT1S5CqUrWJkmk+cfQoNjBGqfoLM6TSR0D vOW8GyPf+ajegmv9EVObhOFy48bHN7QuC+9SSmtm2tHKuMG1B5QqnkLPicsW66ZNFrn64sLl EsoIKv2KW3ZcbttnlXKnw48yjf4LbJyPFy701TggpCEUScsj89SAp7Q56u73BeEKQQitaoG0 thgriaRtV1Tzy7M9P+bMHts4UVEwLrLJwwzr8nrHtGhcHLeF/TnuLX63IE9kJZCXtWCAcPsk ajbTxYeEJBBRurQKkrQ7XhDSdavY+AgqLAfqGBVEahGlBXjkRx3MmkN0TF4eilovGO4JuxuT VvBfJlFcjpqVscdMA5T39a6pO7DL0c7vA5U32JIyh6vErVkaPDFY4hAI+PMhxyKOyw9YbYrO GCm7rbojAYVnIGJ7GdSbXCecScma1qze7qab3W1qDAU477VUkJ2Lek9qszo15WcuLdgA0Mt0 5qJGkPO6OeHyqoCbXQGj0cogRGERTc1SyaoAE4hmy/TqVCDQdbkxYiAyVoH0Jhd/8oNOavmR jQ/Esuk040aFbB8qbc4IuOE0coRQJmmGEo1rFBUZl2FrHw2c/M/HPHlmmxothArs4L6MGnXk Kx+5mF+WkgIP1iRBcaGm50PbPIe7n8MsK5bnJcR+sUVVL0S8yLZEDcIB7apiNvQhFB4/fGNn XZFhRTr2Z3MDuWrmqwrd/olZcWr01vHZR/Pc+Lxsz+dKZdK6I2W9J2/1OV6h2ws+EzBG0qd+ UVQNm63Kl6Ku7DPvc941Cx36+SbjG4CY5PpnEAalVyMk+xQEAtsORXAJdUuE0O3NPi1sV08i tLt5KgGi8Ey8J/S6T7XN3QivKCP1cpoIW3WvR5sGevvt19vjHd8ky9tfuJ97KK3d41cCddMK /JLmxQnfuGkf0uO0seyMjOxPjTUspEhPsh3q2+t41tYK/vN63tuMglArlIrvZRBvUlUqkpTR c6DiJJm+P979hWuC9ImONSXbHJyRHRERSc1FhBpHfdXPc2XFtrpWePeNTH+K9b+++olFi35g 7EJUgbHOzzKI9CRV8l/yIIbRrlv+93548OP0uYwlmOeO+QR5k1aRr74LT9TQpIpjnHaVP5Et B+8ejwKsqQKVHn61U4ZKt50TBI8ehEYWBsYuwYzIDzuDH4l5/cEYE7u6mVAfyTDyZsQEzIZ+ mcREVQOd2hZeDFagRvqpV9AHEwF+vLHM3ZEtxK8xBS7P1Et46noBdRLLBYmo4hmXLAU4agja WTaZZ3PNInuL+SFqZyfQSSVYpUKc69CJTWqZhmtXt9YcR2uIhSESaMM8x/xaB5Z50Xo+Qgvq u9vSN27ejGm4+vLyuvrP0+PzX7+5v4ulvtttBM7T/AQXvdj5aPXbtFf/bkzkDQgslTrh2evj 16/zGc+6YrfTjrsq+TrEIMCwps7pvmGWlPucCySbnNjw6eXE7LKBI9Xf5zEW08u8Bg5eEvRz hOiQxx/vEJrgbfUue2Xq5/rh/cvjE8QmuRNP/qvfoPPeb1+/PrybnTx2Ukf46SKvbU2V+quz QTbALQTJQ1pK0jQHE/uCyxvaK6OIfVZsSI29VeZ8il75BANjasoPw4q+i4AQ1VagIzl1LL1q wRKAMGwxY2Ig7lPW0BtMKAOUI4zLTXo+PXG4NfzH6/ud8w89V9x6nyOrx+HBWVV3BOvnmm3N 4Aojve2a1Ky4AIxQinodupNQ20TFRqjKbB8dUs0v8DREs/LpAbLZhJ9z6s+TkM0FTZFRcX9u oZvOU1U0DvBUcXA9Z8zspx6NYlSbsmfY31RJGPnzfMEt3Fp3calAYIWykOtoVjJrhmmtMJBp mPqaQU8PFLR0PSexAZ41SRhj/XEBZKHiwjmY52OtFpBjiQSnMf0dHtTweey+wGWJg9VfIvC1 F5JvPvneYd4viL1Aj1Au5q0dMge2lS9dXZqfi49sF60gR8LEEo1dSewtfYS88h0vxr5BBzY0 Sz1Hw+oPJWLV4mSHvlxjIx/oAVa8mKFLs0kwhLakwfK4ECy4fwCVxeJAcOyidWyJGDj1f/Dx J4pwF07afA0Sy+rAF46lXuITwHM9ZMWs0hY8cGlfRGgv1llvRzt+WdB3/nA5z6jv6QcQvQpL S1h34p96nSLri0TGdVqGx3i6fefy4HejPrNy06qx7bj99/U0Y7yJHmrGpwo9RFcrWPgTcFlW FSV2K6zwxYGHbx1egDpSHBmM2CfjHGQHN2YkwdevhOEGlAqDj84gQEL89WtkoVXkBfgpZFoc A9tBZfzAbZh+MIdgCCzND9NQXKWH6KYqY6rNRJaX53+BSL04zHUvH9NkGlRpzO9TnyjCLh2M fJ/emqQqvm1EZxWRYiCd1ZlDm+N29fID9G7V2G83dQqqatp7MzlesoK2JcFG6VFX/DpCMJ4C u64EpIVm7PJai5sNQAYmPz3wXc+NWIJYAkbzLm0sCjmivLTAXsY0njpn+MFcZNAdKX7sB7Ta Rh42/UC3BDNgAl3ZYTk6Pb6+gynI/LP1OrW4s5Ye3ID5lvro0tOLuj1qJ7+eXlVIeJfq8e71 5e3ly/tq/+vHw+u/TquvPx/e3jHN//1Nm3enWQ6Xh+fhqI0kAo2avqJISwAVGvcnlu6VlshU 6cEImM7JW/xLQALQTZR1LCjqrA+Y+B8IBquEY1fAXc1kAGct310nAs/zagp7OSRjei4aVm70 yO+QlH8/SDc0RWtfy8dGWhlE6byRn6b46bTpdGwPsV/aU1Ud9ULAsOl6KQnLDboWVG/M4dSq GVBGdlJhcnrugEDq6HNp2sD76lQr+duMLTNS5RUBX2OutPicXw+bPzwnSBbYuEyicjpTnXrm qqApZjto8hWU/B02WBrslog9U+Kpu6dCvFIyox/kv3C0Vycgi6IQv9WTOlmWa0MOXnZI6M4f D7d//fwBtyhvL08P4GDw4e6bsoDLbyothbTLDQhonlbQt2h50hySnfmR8HI97GcFk+f715fH e3V+l3VusUrY1dhU2fG51+4IqGvr2rtbXT2O/76SXeV6UXC4bssZtsmiiIvhwQwAnarA2dQ4 EGtPtwoS+vhLqcoSW/TXgQHU0NzIR3LvFdSWcpcs1gEysqCh4TQGd9ZsoAeJjR7N6G2aJWEQ IA3pSJJYXH/3HDTKHI9YlDB7Btf15pUBZUUvWaN0X3U5p9HnlRd0PdSLiqAOjVWGEKkai2M/ 7FB6sj7N6BBOWHvTH+glTTwH69dj6kZ21eyew3ZaHDjajGcSoweBnuUsNI4aps8z8GU5q+t2 A3/314cjeC7K1NXijg0U3dckPzupJrb8l265Torqmmr2ekDpw9eq/QNkMIzHX6yz6poVFXaA BUhzDnZJIsX0XIrDmnCb5t0+w700gybTtSQtazC7xz7uy6ZoNI2BntwkNmdKgqHbMItq+vHP gtEjUuyMRbhWxm6Z4ETZXLvtoSg1p7j7Vlx+46Zee3BQ3OVlbhF4K1osVaodzasWmPgO2ZJy iYNncbOE812KtCRbYoGXmwPwmD40hyKGKDEZ0YNN99Et87pscA08MR4WO0nIcOcKf34HnRBG usW6N3RfbMh1w/rPt8i15w2wVyOtWvzUI9spFNJONjV+yVNY8u9dL1epXX0S9O47ZvHEPljy LXxnUcL/N3Zsu23jyl8J9mkPcHZR59JNH/pASbTFWrdQlJ3kRUhTnzTocRIkDk73788MSUmk OHQX2EXqmSHF63A4nEvN1koycbyWq0i0LW2c2K/Kjr7emS/IiGOlDdSK1j8AqXhKkzWb4JWJ GCQRmYi2k0sMzAZC/xkIwUpFTPNsTV0l1LyuYWPlEoTPkdE5t06Dqdu+wYQfnlnQEC3Y+lBT 1VqKonE46gCEVivv7q8R60SbldGGakZxMfhitS+PTzrv+cwmJ9XA9vn9lQognRbrVsKYghju 5jMs1nCRJKBJkY3QaWnogM2NoCe1zc37LOygXxCUqovkOhkoVMTplpeWoFVkjEVY9EntPaA3 KfmYqROP9yUS72el9Qubx+BquEBSTpLmBXC3fz7sMOQFocfiaFNmn/rGqwbXHnmwzy3CVPOy f3uYT2kLd+ff27/fDrv9Sf10kn5/fPnXFBydsPuBnX0t+laySHaxOu0VzWUbfcwvJaeSVvNr 3M5DU/nPA0Z7N16sTis84pmhiwVi5qUz93I4wWfxiC1CKgzwxoICbXlx4QZps+DBZsxdARjs R9JGaCIS9qVStEnZBpgFnVDHi2+GWXWGd99pgAE4S4Xr4ZZt0S8V5X+D2DAgroEeiWU9EVj2 FqXSVjyX1MOVkFeYwtKRO9EhH6QVDFJRyc+LkbABxoVj43lO1MAhewyQFHO0R3tVhgdmnSpG n1c6O+fx8FTL0vcXhbNjydY89pKOeCXFRpAW9YjFBBzcBnVyRP1yZPqDNhmtG9v3r296izp5 q43yFI0fnVWR3/TNNetPL6uyz1s3frqHgjXsvM0kadmvMaosgmcV6iwTLMgxIVnjpSIp09Cw s9m94qvO3RPs4P3z0+PhmdRFShaxvMy7KuMyqYuQIRIqD1ZlsiZ92SvYUm4KSOWMN/wwAVd8 UFt30oZlrQtO4iZrn70/NCoPJVeVR5TGI3ql8rAi+B4FBeGKgDZKEFDPThR1PH5gjyGwlud1 3fh+x6bo4+teiwYhL8487Q387OslfWsbow7AhJQsenOTiRuzIs0S5l8G2hQuPCLBK7EgLYKW 2z5drix/3FNQJ7rBWO+qrlcglg6NJIYAtXp6G7rxHlKW5rzfoqOBsV9yNGiYMrLFOBBp4R47 eMi7Fjv4rNMXdbo2Ot9RVqgytBu8ieCX7RiOYWjLHCAMQEca9nxOmUEQY3fV1cpTT2oAKgLQ wE4vLC0a05xeAt6WgDGshJ81Z1ZnLH7f1bJU/cYL3GFAlFpBV5UqZ3xR875sz3tv7jt0GXIA aed7FtUbLgsGQx2+yKV39993flyCVk96yPHedu/fnk/+AwslWCcoiPWz4xpB60h4c43E8PZu 1zSwYSsU7+DK4WYR0ig4SItMuu8day4rd6nNbMVU2QQ/qTVrENdMKeeTebeCVZG4FViQbqP7 9oB/lq03A/rVAFc2Gsbx0huZWgds1AVoGT2VN42KYc19ipa6jD7L/S51YhROl+DH8Bzy+bfH t+fLy4tPfyx+c9EpyNp6Vs7PHNM0D/NXHPPXRQRz6YYTnWFOo5h4bZ5VkI8jY73OSBZHipMm +z7J2ZHidNzDGRElPM5IPsb6/vFT9OufziiTCp8kOhGffAsZH3dOpSf32/XX+by4aGtcYT39 FuSVXpxe/HLagGbht521qRA+aPhmMMMDgr5KuxSUXZmLP6e/eEGDP8YaQhkdufhgmseu0aYI HgmlpvcIZq1d1+KylwSs82GY0QukfNdDcwCnvFCulD7B4ZztZE1gZM2UYNW8oxp3I0VRRJRe A9GK8RnJnEBy18lyAAtoK3Ofy0dE1QlFNUf3mQ5nNJCoTq5Fm89Ld2pJZS3JCkd0hx++dLve vT7t/nvy/e7+x+PTw3TyKomaPLhmLgu2aucRmV9eH58OP7RJ3Lf97u0htLzRQs1aK4Uc4QwE PdxfBcqMGz5mKPx87t5NazWUBsGW0QqC7KZiOg8YafydPu9fQJz4A6NGn4Accv/DBDy9N/BX p7nOMwbUhDbzlIcQr3TaR5TOgLCRPGWKOxYXFl92rUIP79SxhV1KVpqSnxcfTp2OtphEEhgL qiQijmCSs0xXzCJZ6bsKJDJM6FPCjS9yruOA19uKvKCbTnuyCHySY/Z3vxeGsOUp+lujFFJi QkJHQpphzFDVVeHI1dq/cYsGKGZMmlrLxe18rCzcFW1sO2u8Q245W/dN1PFD+1SjxObaZDnA 0UrDzNnnDz8XfidR+JuC/Rn/vpNs9/X94cHbIXpg+bVCl3HfE8zUg/iYlY0uC/3EFybfYsXH 9BWGMAahlbp0zEjR53U+YXXyBSamDRtnETBvxXLuuEASLoG/xavRul96/fmEKEf+AzKZdnol /rJZsA4wE2had3bJkFR2ew7cZpxwbURkZx1u1wWsrLCPAyballahiq1rjfQ+K72hFIcWNYZs mpUxilHgRSI+L3YDwMp2I9gZXC5Wuae9cfqpG4v3tmVRb4P9TSN1cb17cSxozpAbG0hjjYmb 5aR4vv/x/mIYb3739OC6lMGtvGugqILpce9jqMQLkd7ZgNEeS5cweLH6JXG/YUUHOz+kxFAL LqWj7ovS2NoW7ixi0+FaV6ErdEsv+O0VmdTVfYCGuoGl1nVDKrZd/LxHBom7su7UBG5h7rLx /J9OIg2eH30+Gj1GyYT1uqzZArzK6HMDG7LmvJnxuuHFiK7ZrnPgO2UzCh64qCZmfPL7m31z e/v3yf79sPu5g3/sDvd//vmn44VnapIKzmfFrznBDltoGs7pEdZkyx6h2G4NUd/C7mmYouN+ GFr8WGiD6So5NqPyiqTQFeDQRUducO4rYODnE2Jr7lkjxiPA9e3EymHvgaDJh1e3UWqBmdbC IcEpDb+Ntgj+36BuuuVBe4RrZ2NnXpDgdjWHaK2c8AQJg0glx7h+gmnNhHnNSzvvLJ+NOKKJ NQ4bv9VIRzYZ1rA7SpOJO5ICGz0G7mVXGRHEw8+GfZIFZzi9ynB7RI4Jmh6J49+baIzo/fns V99P4WSsOkopjfR4QMGCKYqRFZ0uvG9LL/E3gvhVGzIou7+urAQoA9lverOHL+bAqQtzmik+ PFBR1ym7bnouJaYKq74YIdZRwUFtJJUnsZU0TUyVhlbUvywwCMRaUnVb5mijRWFEwDgb0TRL 5EkRtFf7eBugGQ4MZpXe0LZjY+iSQY6QAg5Andwd4wGbU4HiuzQh8QWTKH5kPmEEFS2kLLvK dEUTyRh2JVmT/yOaZTPbwkaUsrfP5WwBE8h+K1SO4Qza+YcMutSiKxCkGIvJJ0FFtt48SKk5 z7yS1BY0tThcSdedIh/3gcj0Cddu05jQhOL9SV+h1e7tMOOXmgUgfwZ5KJIlJ5kmC46YwD96 2PSJgiN+dspoJrvBVEwhzor8c/5ojruP58euNLrROb/OurKZKjTcDFZitRqj+vnINWCVb76i 4VpNQb/aaXwiFP1ip7Fd54YNMkcC7KFc20G6XTPNBkxUVhAZ1zGHFmefznWqpMihkHSiAAGw TlvpObljEZQFAnXKbL7X1G3GdGbYwkHDk4Zyn9KoMeeEPwqdOXzcjLO8PDalyOlhx635jR/s imEoWTII1HSjWWVewCH8fYzBdQncx82dHN07YHu6pTX2OH/Ed/VetJprb10dkuWFhsJ5jaxj GDQFtvKUvp50jpjHmSxurBrNbaAL77NkRVsraiNjhbskbhA50UTlPVlnTLGBgc5P80hiCato UmiL1cGlXdbVMcrqOsZYsrqDfWRu/MHX8QWu6Foyp72xKlPSe5XWKwbdziLHDzr94art1U3D +w/Xlx+ma9ccB7O+oHF25Z/S2KquuCuSjVj8HG1HNVFw2ilkpOgCZeucQn/eEbGt+OA20W2d lfm1OhcvzhH3pYZ40p6eNBsQHHGfwfVMzB/Gve+AnC/dR32zOMrpeuOuAVy7VtghdYjGNBVP FF9Z3u7u318fD3+H6m7NelyhEA4ROByhVYjCo4XufmLLUpwNA+bxLKgapDB8x7UYslZA9FmO Ee9NgEzy4s7TTgp1g76qrbbm0lzG0wtYkiOll224IqaaWRrHfv5tfA3W/Rk9SdPXv18OzybT 45hnyLGX1cTAPlfM9Qn0wKchnLOMBIakSbFORZO7kuEcExbC05kEhqTSNUeZYCThqLIMmh5t CYu1XrYsgJWsghtESGvhYe3aJmZPU/eZaLWedaZNsFSr5eL0suyKAFF1BQ0MP9/ov0EDUKt8 1fGOBwX0H8/xdmizwRBLexjHTuWw1YIafWF0IIalEaToGvpddEO0aGQ8g4Uiez9834F4fX+H CRr50z0uezQu+9/j4fsJe3t7vn/UqOzucBcs/zQtg0asNGze0TRn8N/ph6YubtABLd7jll+J TdB8DqWB9W6G7Zloa/b98zc3qtLwrSQcr1SFCwafJOYwniYBrJBbYuoa+Ey8F9f+c4eFAkfc ShYGO8gx7WCkMyVLgxblJUuJ6q+PNmljCtlkSA9wmQo/JtOzU6pmgzCmifQB6tD9kgDGroAt GG8qUKnFh0wsw9WVm9CQs7mwqyrkINl5yCeyC2onClhh6KhEavEH5lWiV2VQI4LdiIgT+PTi I/EtQJyRUTSGLZCzRdAVANK1AeKCTEExsIqVXHw6DblVc6HTJJvT7vHlu+8PMpxNIQcFWH/h hrhy4JUwayREVl0iwu0GN5LzgDaBK8lSENM8IIawlwSbYSUvCjIe8UiBj+ND+RB3QdbaKsrQ yKIzTu31pf4bL7XO2S3Lgja0rGiBT1LzbDA49kd3mOW0xzgsD6UQOFEbLyigD+/blp/qaQ+H R3E6gcOA3tY4aUcWqCGIzcqAvphOrXTKsxosWZBV/MgNAxe/rQPYpR8BaKSkrIkmZJ4O7ZB3 T9+e9yfV+/7r7vVktXvajTkX58u/FXDJoISuTCaoWag6GmNZPYWhhD2NSVV4/iMiAH4R6MGM lxZUmVBSFupjghkZEL1lxvMBHPGtlQKPLY+RWJL3qjmVFqGD8xDaoV8OidnMt0StrL0pMfeQ UdeYS6PryTahG7i+W6q2S5AwtPPZvR7Q4wrkpDcdHPXt8eHp7vD+aq1+PHsNY7nqXqukZxke 4lu8o0y3IYPn10qyPuUSNfgpnSUE7jh1lTF5E/+a1iesN446x5oDiFs2V/WvN5FIuauOR/w9 E1Hh50MFpXlFffz6inmoX5/fD49PruyTCCU5BhHxZmVSl014SpWrW+4moRr8beBuWaXNDcaq KQe7eoKk4FUEW3HVd0q4JsYDCt0ZUJNo9K0hHiOjiLp03XEGVBQ8wUbN3RKPL51ioSmEL+an II7DfvZAi4/uXkn7UKqC76iu9+4SIKF5lYDARqkvLAZ2B09uaJNXj4RmqpqAya1h2bOSCak+ BpwbG1kko9g6ETiBM1mXiTGpk7fLNUIPrXahP5b5SbIqq0t/JCwKDhFd3tfUITTjIfwW2ous yj+jNDQ4ueDIImpGKFWzPpkm+r0DJ+mvbxE8/60vh3OYdiVrQlrB3AzJFsjcVNMTTOVdmQQI fNQO603SL56izECjFmJD3/rVrfCMDEZEAohTElPcloxEXN9G6OsI3BkJ7+HIWYltW6cC2JPm Y5I5Ry7ubeADvrkUglC/23v8QSvw3UanTVeydo2uW/pp0sPAZcMtnF05fLEqfKeQkcuMr1h6 kpfaqwRb7dRc3GKkDG/L1jIT9AtwllFmn0Je4c3NaVDZCBPDeTru0O6hiLmUo5Mj+ag+9gRI tOaA6CSq0Xutfgfk/wHyuONXt1gBAA== --bp/iNruPH9dso1Pn--