From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (qmail 903 invoked by alias); 9 Apr 2009 15:16:44 -0000 Received: (qmail 812 invoked by uid 22791); 9 Apr 2009 15:16:38 -0000 X-SWARE-Spam-Status: No, hits=-2.6 required=5.0 tests=AWL,BAYES_00 X-Spam-Check-By: sourceware.org Received: from e23smtp05.au.ibm.com (HELO e23smtp05.au.ibm.com) (202.81.31.147) by sourceware.org (qpsmtpd/0.43rc1) with ESMTP; Thu, 09 Apr 2009 15:16:29 +0000 Received: from d23relay01.au.ibm.com (d23relay01.au.ibm.com [202.81.31.243]) by e23smtp05.au.ibm.com (8.13.1/8.13.1) with ESMTP id n39FEYN2018971 for ; Fri, 10 Apr 2009 01:14:34 +1000 Received: from d23av01.au.ibm.com (d23av01.au.ibm.com [9.190.234.96]) by d23relay01.au.ibm.com (8.13.8/8.13.8/NCO v9.2) with ESMTP id n39FGOq2389552 for ; Fri, 10 Apr 2009 01:16:24 +1000 Received: from d23av01.au.ibm.com (loopback [127.0.0.1]) by d23av01.au.ibm.com (8.12.11.20060308/8.13.3) with ESMTP id n39FGNml016187 for ; Fri, 10 Apr 2009 01:16:23 +1000 Received: from mars.in.ibm.com ([9.77.210.166]) by d23av01.au.ibm.com (8.12.11.20060308/8.12.11) with ESMTP id n39FGF4O016011 for ; Fri, 10 Apr 2009 01:16:15 +1000 Message-ID: <49DE1122.5060806@linux.vnet.ibm.com> Date: Thu, 09 Apr 2009 15:16:00 -0000 From: Mahesh Jagannath Salgaonkar User-Agent: Thunderbird 2.0.0.21 (X11/20090320) MIME-Version: 1.0 To: systemtap@sources.redhat.com Subject: Re: Plain kprobe genearation/bisect script - latest changes References: <49DB15D4.1070508@linux.vnet.ibm.com> In-Reply-To: <49DB15D4.1070508@linux.vnet.ibm.com> Content-Type: multipart/mixed; boundary="------------040306020202090105080706" Mailing-List: contact systemtap-help@sourceware.org; run by ezmlm Precedence: bulk List-Id: List-Subscribe: List-Post: List-Help: , Sender: systemtap-owner@sourceware.org X-SW-Source: 2009-q2/txt/msg00193.txt.bz2 This is a multi-part message in MIME format. --------------040306020202090105080706 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit Content-length: 1095 Mahesh Jagannath Salgaonkar wrote: > Hi All, > > I have implemented shell scripts that helps me to narrow down a faulty > probe that causes problem/crash, while debugging systemtap issues. As > per the discussion in weekly systemtap meeting dated 12th March 2009, I > am attaching these scripts (kp_bisect.tgz) that may help us in > identifying probes that can be a potential candidate for blacklist. > These scripts will help user to extract probes (probe function name) > from stap generated C module and test plain kprobes/kretprobes allowing > user to run bisect-like functionality to narrow down to a single faulty > probe. It does handle ".call" and ".return" probes. > > Can someone can take look at these scripts and see if these can be used > as a base for automating the process of testing kprobes for black/white > list generation? The file "README.txt" describes the steps to use these > scripts. > > Thanks, > -Mahesh. Please find the modified scripts attached. Modified script to isolate good probes/bad probes and show all bad probes at the end. Thanks, -Mahesh. --------------040306020202090105080706 Content-Type: application/x-compressed-tar; name="kp_bisect.latest.tgz" Content-Transfer-Encoding: base64 Content-Disposition: inline; filename="kp_bisect.latest.tgz" Content-length: 28845 H4sIAIEP3kkAA+w8a3fbtpL9Kv6KWUWpJcWiRPmR1o68VWy19UZ+HEnp7T1u DkNTkMUVRfLy4cem3t++MwD4FOU4Tjbtno3OaSxhgMG8MQAGXXj6pRUwM1Rt I2RB2P7uy386+Hn5ckf83d3O/ZWf7zRN23253Xm5Q+3azsuu9h3s/C/QsvKJ gtDwAb4LDPvKcJ2F4S9L+30M/n/0syjq3/PdSxa3BfMvMQfX9846/Ws7Oy93 8/rvdl5ubX8HnS8x+cc+/8/1/+zf2peW0740grmiPIN+FM5dfw9OjDkL5vAf KowTvqG+5K0/2ZYT3arXDgtV63Kpmu6yQWMncyuAwPQtLwSfGdMAuC0FMPPd JVTVhSeMK1CnRlgFw5mCtfRstmROGIABwuZatrVgiG0WOWZouY5hW+EdhC6Q dfJBjuH77g1M3RuH2g0xDYRzIwTTcAC/e26ISC3DBsSEbVMLp2Qwc324tA1z YVtBqCrK+ejs9UD/+Xg46OWpk5DRYFKE6j5ynfb4+e3poT4eTNIeOhHOe4z6 p78MNA7xDeeKaWlrN23t8tbJqH/4Jp0r9JFIDhCzznrVqhKypafPBJx/tWzG +/xydnakc3rGHHrlulM9w8zrfg58aeSgk7NJfyjgArcbGrboIEYPibTh8Vgw mcqPgOM3x+e9jqIcnU30w/5wiN/pKwqupylKrEMgHwvrDeWDUjFuFtD6+SfY +IB6s5wQalp1s1OF+w2opfqAg+SXlPCakVp2ZKwvOFgdrlQ4Y733JppJAQh/ wo0JLfu9UmHm3IXqhLrCuTDfyJkyn5vfHtQ4kqroJ3uLNqI4I0ql4i+hNYNa RjlQSzWB3xO5EmmROc+Ck6bM8LRbZqRwmhJuY8OpCTOUtGqczMTYsN8Vc5iP zqHjSrB0p5HNKsp9RnViAqE72zWRUV3nhoumWNPStvDOY2QJFdODWtIFKjVh qwX5i8Y1chekp8JWKhexkFvsX9CBd/D998BNT6Nv6JKR72A3awa5nhq8w2nn zFEqFYpIgJGLwatkemzmc/XeC0Vy8J8gDG0TDS22s/sNJLEimfxI567oLBhq Pe5TjQe0HKi+RkI5WSgBEdqqROkFiZUIAM5bTfqZEEYyuD7iwhC224jxJvSc uNeWc4V4XZ9CppsJh9WnEC0kXk4XgqXsJV7JDdRVoTHBZaPK3TVr1BVmBywZ J4etdJpZ+I+wAq5fbgS8Ff+dG/YMNXXr+bFBtKGLeglWAS2o8e7v0YLmZCUo R9GSGApOHbtRaFg27xGU9uiSB2g9MR6/dnuioxKb+CEaYsimEN64cuEKGC5/ I75C1Gum1uCLHP/dxd/dhgpvA1Ka6FIl73xzrv866B/11HbitW105IWI2sQE dZn0j4druhAX1OUEo8vk5Hxdr6WnmrLbmi6mopwc/55dXpbWbXZ5SSPJaqTJ RxXmGJc2QlGTwis7q7AVQBJ2hHR/EXOQuERfEDOhKwk2KJo8gxPrFmiVjDOU wIUZJjgzF2M93FjhHMzI9zGFAB7HwHJ4/Ed9UvCSoZV0nvIuYdlwf5DvkInJ +daU/oOYTFJKzBMunqFl4hrqRxjpJVsL7+Id9OCDcJ7soJs55gWQhDulMiX3 Jy08JsxVKp8U6LB7LjS1sGstTgZEaDJdzMSciClJfLmoee96H1TPZ/ocbd1m fm/hzTdBnRmRHWbaZtQY3C0vXVt3jCXr/VGtESN/VO83VxlHQUq/9uAFaO+J tKkrAr6UfGIn9/ur4wXk2ZTNiOHT0flrHLfazfPJ/mRnjH9vKOvgylyHsqDA 2L5JlX9vJSbLS6kOfVLiwivRIzaWqhLbS7WJoKVxa2CYuGY9rQP4OxlJ0pqX q9tP9O1/IYXrIxq5tifDjcRsBUoBxZwzcwFoDal2fXaFyyoFI4x9uDPy2b8i y2dTNc5TkOrWVUjpTJKklARBLV7SeHiRgV9qcgOHtFP7a8MHShQqV0F0Wa8+ f55C9N/6w+fPq5vXjf04d+7sg8NuMaRV7vG/JKXuUDp93autUpIGp5QWKYKM RDKE0vKTgSSqQPeUYZcWOhJDNh0IknVimk+zq4fu0rNsCu0nhZiOXJtTSJYV pbI0cA9JbapKaWHY28F/U7d9ZIIjkxwx5tgJmM8XFjEJlK+HC1dV1WQQ0QFB 5Mvd6Z0bwdy4ZuRPgYs4XI/xPWzA0rYlCwLjigUF7kVq7GLGYYVghUwYVoCr lW3TlpfdYpoeodRUOJ6BgY2ZTobPEpqCyDRxillkA1kd4A7cCNBcIwc21Nzx D18iN5Cw5RI1lXKF+IkTItqA4C7AFAhM3wjmH0WIW8+NBA2ZH4TWksENDZOI Ll03DOK5lDgSortYIi4h9+9kOLRi/7e4+2dz6OOYdwKu/fAM1glQiWu1iT0C mzEPtinHXFLXBJwEQwo61aSnJqLQ5xhbP6++VGX2HakDJcwVzU9cZIYScG0l GM6FEsgq0Cge1iyRntvzBXP3Rk92BiJL+wRmqlmP5aTKTFdMnoCTjQ430L3E 4HkAyab6T5l7q1rY6lbYLdpOJ8coiUGwx5daIcpX+WFoeqKddjdbYj3MCygO 6Gm37MaTcyN2Dzwa5nb0lSvdxKQzlNvibPaY7o0FcaHoycnLnjPEmW8mnRV5 rEhqMUrKOdo1iaK4KySH4ZuLmAVpTCp3EHmOEe9/+P4+e46RAGTH7CFG2cFG 4WSiCwkLY8y8zTmFWAyJgqBuNQF3i/qkZbEo+G6p4Lt/P8H7Wm5+aR+ZqSVn slt88LGyp6ZIkfqQVNsALR3FKFaiSmz4csf8CJVL9+TeSuq4zDgq8hel21HQ qiUmnlN3fEKVa0TWaOceO0uZT62eYJUfYT3a8JD7jx932UYQ6pSwsy8RF4pB gfqssFU04NVO3cec0xkfi2SfH8qEXRTtBmdWodR3lVVvf7I3f7LDxKl14jDF eJDaRiX1p3LmPNsqOsIs8hGxzx0sNvHUULPnV18AZzd2XsFk1nUyDMrD+Moa n3uU05U6U2kY5/Q81kcf8D3MPRIjjijzzeYbvGEP3l9iMkN7RtygvIcLfp3w J8WrP1F676pybdfIIYSEniUBUwiH41GIikIOB90DaE/ZddvB5EpRTEqaahpY OIbP0qC0jr7g3/195AEnpTb6K5uQBGrBP7KBYgi1pLFEAprUKkhhgWEqyl99 +1dy/5umwV9sjofvf8vu/1/uvtz9dv//NT4P6P8EN690x/jZc5CCd7e31+p/ a0cr3P9rW1s73+7/v8bHmjkYKOu1+pvB6HQwHA2Gg/540NhsKO7lf7aWlb1e GitV3I/zle3N0fGIIG3bumwLawnatXowZ5iNRjxOt/xG+zKy7Kly/o8j6huD vRuMlsqU8QPCPaVSq5/03wwa0DrELoS4AeO3r/HvuFer49iGPG8JFH76hiEa d7bOnrhf9WfQRLBqQtMFtWkucSMfLr0mNP9bHhLRgeM184O/Qaj9W34e8P/8 hdJnzPER/9e2Vup/ujudb/U/X+XzzHJMO5riXoFX9UhvVucHShGyYL7D7DKI 5Vhh6Qh5DVgCmjLbuCOAEh+/p4fVldWTa0U5OTt6Oxzow+PDwel4UK/+cj6s NvYVRd6t0Nl1cBeYhm3rphNenI70w/O343f5HgtvXs9fozUX3mZ8MeOFus+u AmjSvzwHzWL0jRs9WHp0tUlnca6vW7jhevfiBeZ17TY/PV/Uq5eui/Nd2gx6 8Hz6h1PdxJlaB4blBI6aAJFweV8NnX1MWvPXSDmK+fUH1It3RzoiDA3H5BxY D7CQm0ZE0JxAZo+WyCYf4fiEFiBmmIdxcE1+XzoFzOEX8UlBCM+9+k/P7du9 59NGKorp1N+ky5GgdeBYOBdiLIij3b7oPPGCsIoq0w3TZF5Yvd9ETA9enn5b FB4X/6la4DPm+Ej87+5qq/F/q/st/n+NT6l/YAwILug+FONneWxaucvGIX46 RqZqFDB0He1IpyWifu1aUx6UqB1HYkRBz6eizLrV6+xbr2j4vvXiRYMOfYkG 613ve3RWa5WO4jB9lBnoxyN9MVSQU4ljlriZZb48IsXw025TAMKQEINkpUlQ Ryo2+dVwIyEVu3X2wYJXvB2/0bwf+GGIwD9K8YMIThgJ4eL59J2MgkReHAkt Qlw+e1305B2Q+zp2EhNV0uiL+7MpHbnFQ2MVysVHYL+XR1L5wfEQRICxmqjB dQ0pXSGS40iGub51BbSe0VHW89tcb9cz3SmL51xZ2EoFiJp7WIRyaSiVpC/m XXjqQ9KMrbQuB/xFEs0T+xippiNWJCttGnOPJb92rGsYSgm+SgwiKy6xCvmi 9E06O8v7JrpliidyVv2lkjaWekpR79nusTICro1NaQON1E1XjYTncsJKpOKy mRnqMyvJsQABgdBQ0kSM0qT8MGQTPX+9VxN0ldXULcuEFIsbZSzWURH70jCI MAnggk91gICvH/9X1v/RoH90MlDD2/CLzcHX/9216/9uR9OK53/b2rfzn6/y kQ8+FHl9rlQefPnB33yI5x/py48jJh59WK6T4JHIJnMmX4QEsHFl0OWGnnkl Ecw3+IXiRuHR0QbVr7g3AUQBVd67wG7pRUQYF8zylUC8K+HH9F5aMwSHcX0O ITZ5sW1bPB2JAbwUx3Ku3QXuUjwb92YyxLfLi7fULB8ltGYesWSesDzyAYt8 vULXXGXPV/JvV0SJDPGbfcVSKRPsHobEgZBaQGU5UnTJTQvtlgKOVOXRkuhS 83VYXICuZ+FXDHIupVYb+WcyUnurr2M2gA6OqeYt8Bgv67Pv1LgANpUdETni L4VSCnG0IV4MfepkCKaLGWkJ9KLoEcqNjWIjU9K8oVL5/LU1ZYlG6TanVKmF x0h0M47Y+D71TnCEfP969g+YnMHb8eDfsw6ijEPmBXuKplZk3TIvqCL9JlbM i5E3WgvOfMvb3gCXe1rBHqRxSiNCtwkEDWi7TL1SSXe1A4EacSEeaF1Di0lr jtdFtQlxIWC9iibFaCkDvkw14H6DqhDJE0qcLa5CE29l2uHSo5239zt++Bed vlGxeFetHHPXS/ypPCxwvhP06YwWPSZiHtS1huRNsFaG5QE6ttTKKaoNBbXe r1e1a5TrV5LRJDoKWCC+O0SuLfJo679Y+i6OnqMJ+6LUSlwJZ3xB+h29FKAn BBsBJLesFf5GQNxl09dYQG2TF0myTzB9wsalLa/UpccBaVpimxbVHBjXIsfd WFc3R6WplT5SRtxIzBma+ZsHKlhZMJS9sBpybfRl16YfJBv+Co52AF7ke25A km5CRRRicryx764lgk9JdYqYM1IjxmnKr/HrNDJ5KW6zkpTIFVVHxYqAZKwA RPHclHmUsCJ5VN+bxS/uxfkMNN5xw1wgRHZDkiOvBrXC1Kpe948Sk2pW+lMh vKSV2/7qCkCHafymhfdOOxDrPtJIOxHbFkCKN0idcUXGUbBvA+lEF8rON8PG O06MLPmcunznvmTLS1qYESXdcQO/44b6zZxxDMjTjSHqiYh/uh8XlaF+5PBF JF+LSCiSWsRN7GnJqlaftaiItDANJx6JUlYWk2ItIJUWaI2KNORlWaYhlMxn o/pbayrZip9/cHN95RyAQesJWi1V4Ga9Xy47AbkuMS5LOISOU9VKgQZgsxni iMLEv8rJEibG6VIqD1NGj24FXdkXLdzweU0O6VloVnaTPSSCF9oBChP1m0NM WKWrcs2tRseYdE4jL79AVk3KrnDd4K7tOmjrXVGKhFZHTcY1bq/58TgNTQrW cFloZHOsojTEeuZSTkj+JpZ7ZOsqXTVnFq7JuQVDLuaUYxTiQ+aV1BoYfx4V VwlPktxEHjyLyCXuLfiKVAxA6QQiAkmiaPfX5qKK04hkjkchJKpEsqPS7aY1 uyNp4xKWEQgvMvfBnHOpowvNbBQimyYz8SVFSCv3iuuv3oh8+/wln5X9P8+S drpbO6r5peZ48Px/e2t7Z2u3uP/f6b78tv//Gh86qsPsawYn/d9PB+PJ8ekv yZVs2gRaJz6ey/QfT0YIGw5OsyOSRtC6P5QM6h9Ojs9yI0QL0Pnl2v768elk MBq9PZ8cvx4OVkfn4VBP0TYRcaME72T0z+HZ4ZssKtmUpTI/THY4Ggz7/0wG ZhuJiZK5Tvrng1OUy2CcnS5thW5nu0xWyNHZKDdGtECpNt4cn58PjnK6EE2l VB2fjif9wzfj8/5hRp7ZVhzW3S6OK9dDXvpacdB4cq6f/TYYDc/6R0JTv/WH yeBSKDcH8RkOH8Q3+XU0GP96NjwqR5iAYedhhKdnyaBSTOkYWcpQ9SnJW+JC X802sqtANbMtGGDMRb6JX39bxu72Ss8w1yKrJXDHRhvEkjoKmt8vAwTmHPc3 D1VeFAGYCfDUogSEKdzUXZZBrpm/NK4sswwWhQGdMq0ZFtDJWhZUtV2za7ZS oUKiHipp10P/DnssEt1kG+u3Dah/EE3y9z5o+3CfeL5CL1sJF2ZGPgiB6uFF NmBRsUiq+P65Ph6MxxRb8MeIR8FOOXz09vSUB8lyMPdZ6K7DfXZ+ToO3HoCj C2/HN69G6C4tU8d0mwUkQ1FgDD3oT85Ojg/RgY4nUC+lv7G/goTh/s+XFfMF FJ2S7sHC8lCMTxyg05kuOcOnj/QZbk3QDJ8waSR2E+hyTx7Lb3fKRivyHpze R9NrRqqMSVBdRsHdPjbQ9i0UdtcU+DwXs3AC0UmbwXcCuKnGbS0aJTVHuN+7 oq2AgxmZbItNVqrsMprNmF9EzyvOeYdSSBAuQ4lrpbwnN6/t4jarGTk3dFGZ GVFWf+RZMSeIxsP0iH5eGzqdTUBzafgLXf4q0gQEZD6v3FkHm7kYYPhIfmPZ pONh+oWhIQ7ck+MTyloAxqhLaJJGPd5FeH6ubxLMcbY7E3dNKFD5hZ4Y7Je0 B9Eyhy1y6OzsA99QxYLkItG2uz/q/P9LEUjwfQayXzZgq5MfkMeeGZA2cFHv butUWREuvc7+OoiWQu73H42vuxbfVgk++eU+w1AZnz/+qH0unzm6ZGfStM7v C5pFCgujt58ki91HzPly7Zw/PGlOrfOISTVtvda7T5t2+zHT7qyfdvdp0/7w mGl/XDttt/PYadfg7q63927OnIr2mpvvSVNvrXfdLe3Tpy66IvpczhXjIyed Du5s5hQdMiUAY/y1YUcsRlgcWY72ioX6pD9+ox+enZzomE49YYIVHOVTeU9n wcvwcA9y/EW60cUc8D6tGRZLjlzcA0wATt8Oh/vQbvL7aVP3mG96ETTbSkkS rxRq5T7EK1SgIwFX4Zxo8G8oXdXTRp6+rlvg0iwl21unnEUkLJmFSrmHK9u9 NGxe6AqwBqW6DlU+3cFsZzPFXRRR0UKSeuU4L2pynVAKY4a6DmZjHYIVC3g6 Ku+ziVmDYGU8l+9H3KwJ+VGoFm6b34PZOhB9LvCbTPheaO/UMrcTZVpgcz3L 7cLhGW6Zf5+AmWmb/Ho8BjrBplqpTgOuXLoEiEQGhvPFySAquWpNqdZgZtEN nJxqg6722nN3ydqi8KOdXCtlvtFxYRBZIUvbVOQPtyVteZeAP729H/e0TnVf 0hI5dI1u30E9w2wXDnqZw6ZGQ3p0TClPaInUzIEUuzUZ7uemVeHionJBeLWs y5MY5CRAhfoIxf/s1kEaIXjZV0ZysgQiFhhCBCb+D4m1MBgZRoHVJcOtA5Ig GZSY6ln0P+xd64/cxpH/7r9ivIGFXXkl8dkkJetsx3YM4wzlEMEfco5B8NGc HWgeFIej1QbZ+9uvq9kcPrrJWW2VZCfYRYDIHA6nWF1d7/q1il8lNp143nNx US1CS9iTJy+6O9VidhfgJ6GX7J7b5W6yOqm7EVJr1OUfW361HyWVZOb/54iy sGFDwYGKrTCgbd16tV04T9lT275cpFwEYQDSs8quGkv7uKnJSrsBFcValTJV kCqfJaK4/An0rMpmWpuBlVQGaPDDUxtrJDt/koOHE/eC99mavU+z8aaMy932 29iBQWyz8hNah/JjmAfb/c/ZVHewD2Xyke2E7uQpAY7jLMmuOAABxsm6yfNI fxTSrapxyur2UV/suyzGaWeqL/B6XuTxaUG3fns6zJoMxNrgwoqvypyP4Paj 0cv00jbqKfCvZsWEiMM0X9Ps1uukg4Yt2XQEDzk7a7q5xTJdqPUY5esWT4T+ MYrv+MavhCjNyq6qWI1Et787b1vZ6IiPi/Vhf3XedJzjVt+eX33Xut/qd0mu D1v9JkC+7+rbg9VvmN7lVQ8bVTlo9/fxh7qPmssN/tz554N6w+L8kYquhvHT xaNHi/Mvv+w9/qteYfHiQgWqW1mEWZz3S4cXzc8Npaj3oEYFHp90DHpVTCjC TyBqkL6+aHMDJr7p3zW9UC8g7J7WMvUonYJguFdF28f3aE1L7+Pb41p0+/G4 I5XqhaymWBZ16fjZwhCYZUeihpw7H2yvi6GJa/7uGnY9HWcTWlXQp9cW9B5p bz+Ue1RmfZI8X5yP2HvZfVl/nOKk+uA0v5x5fpWfhGHlh3DM7XHM+VCOufrj NI7dTmpr5w+hrdWmaF4NbpL6pbk6qV6OX3u+IND3zqy+jyL7Xvq+l+z/IH2v Epb31feOQd8b98yE3Ve9vCOrj9+EfYHv5Bsa9XT5tiZ25+K895QmC3m0Jf3f 8DprBn/HkEm/6/g88ERV4nB0l753O84J2s7aLOEX63UzX3fkw/EL5+cqJXth CYo/lJ9slp8BCT+DIz8X//pX92zFFfjQ6kytURPwTVnfLJLlsuLLpOZnLww3 m4Kpb/aHDWkgFYTPHTb4eV2H356SjbAnG4ILqvY5uueUZIhvmeSCEcmFbfYO jh/bJJIBjzGIhm1/CtnYrGiD7CAikA3b6QkH8EFQqUtHV4CcEg/xNZN42BaV fHjz8uHTyIdvlg//k8hH8p5UPkKLQj5YXz4EHwSVBvlgJ+UjeW+UD49KPsJ5 +Yho5CMyy0f0KeQjebeklQ+bQD4cq2VsvnrHvHPgzeWAMcJwXOqcutCFqKv7 TwmR4IBRiMK7C5E5eghMcfqp+OFDIogxb7t4WvxNi63jkIgtPMYgto7z72j2 wvB5hJbaQaTqTFi9rlnkViz6f8Fa9aUL/o486yunwVJORCZyblwdAdCPTPrC P5OXvI+0fpi86ny97UluL92+6P3AkAsDPow4cdjy96UcYloI3q82wrts5HnI jD47Fot7/M6I44AEc6j4HX7kdnYRnD/CIswoNPsPqtBci0ShwWMMCs21/h39 tMjDKzS3n6wENhjdtK4FDRTaVwvDQs11IXzMPKP2c8aE44PKJVK5yfsHlXtP lXuyXPfs8QIG1RcpX662z/j2OL4trz5+NsjLCiXAq1je2uQ8G0Yvzh8X24tx H8LFZa+d/vGiLAep2oluBXgNgO76fDjlNR4MKNZJMy9g6rDvErWjPvqklqXV BQBK13FzcXF+MX7OYvzbZcVB/4qgYS8nx9uvNNpNqop4Vb2NAZNicS5pGz50 KATib/A2F5Bsz4QMPFqcw6zYt9/Hr3/63x+e2CrDKlTfcCruy8V+9U++K47J 8fpKpu5X22LXUzqn63LmqtzM947zM+0DukKcFMQmEc7L1Xq3bFThrXp99VB5 NMj5o8Hk0MXi85fmcaeLuSdnYh1LIY5ZeYjLuhKbS3XJXi50lFxJb48O8XKx aqQ4l8UAGJWRhNgt+4xieCeudkz5cAYfx4yGS/T9D3/+5cf4bz/AuOa3r777 +2dHRXadwDucvW6esvhiv8gP8lzdLyT4ETgD2Q0AhECf8BcHGYuW5SW8c28U aPH188XZ12eTrBu+VfdP9So5z/p8fHFKIj7TvBYZTo9VX3uxbUDprsipoe4/ 1ZxQ70r/3YSclO3l1fAhMC3Uu9IbB2p7rQcfNLNAvY9M6sKg5F9OzQn3Fcn8 905ru64sNeo7Ae3cOkSmbzbyrmtLsAYGXSnb3F2nu5Ovk3LP4V4Zc8JHF4OH iGhUu67ONmms1tdT33xy6pvPF+f/d7xFeNGTXxBa0/wTX7Yek3mzgtLomW/J YqFiB4Xi88ftJ5cjnow3z21/YTQxtVotNfAYelvi0aPhHvnV+u2o7uF7g031 uQo6Puu5PftdUTePOj8TCmLLk0ooirPL4WMvB7tTvUPPmTc8avwI9aWhquvN evaaTYamYXCTkJzjyLnWcAJgMqA/+7bk0jD4OszPSfSTVpBv1ZIM1FinxYbK 67m2OCPKh8agoV0NwI+N8gfSPqb89oSnok5O3e7AuYI57EmfBZwv6K3V3ZZb g+snPnlw/B4cv4/o+DWz6A+O34Pj9+D4PTh+D47fg+P34Pj9ERw/uTYPrt+D 6/exXL9G6h/8vge/78Hve/D7Hvy+B7/vwe/7nfy+Di6ojFM13SLfRjl+5ZXu +Em1OXD9pGgLKQfYwxef3Q4ft1fHHwpdtHhali/PZFFZyNTT8urlo276VlyA 77+0FreX3c2C3tGtUWS3t9pw6+2LY2U7FwazGFe1pa1v8a7Pv/vrq7/89GP8 383J8oDYKMX87BWHEyYGH35+Np5YgndsnOQ3anM3XvLoQDuAq5s4JfOF4VFH mLvR0wzwd7NPhhdtXxOkDd4m/uXV33748afXQpS6dx4ADjWLJUEH29O1fvWZ 1Z1kZ5AUyWd1t1xZhRqlnXz5Qj+7700lrt4uDj2DFceAThrHXfigHpAfNpub vtjqP98SO0llR2Qjs0ffvHER4/K5/UL/cJO8T+QJCu3nva+1R29NfHV/tRMW qXvAu2Q93DEKof3X6LfRdUDGFnz8NRh/8Fj9h3J1hr8nIyZ1/NuLbue2X7m6 0GAjLl4MOalvU/W4l6NIxnrvBplspH7avMPLs1W6ecfrK9ijivyXZ0/hV+Su FRu4ufH8H+2d/zi7OHZXdVeFjIPBOZT1N3m1AsTWZ1teP1OfPs2e25bnw1fh 5Jivx8rD7XTGJOVOHqZ3If53oruVxpeg3P647G/IxL/I77wap19jknLbysJw SHhzWPWAbmHUe4ugTrPuERzHzXkZcb37Jqmyq2fl7ppXZaYOvn6mwjRBsmt5 rfyguf470d4Qdx9mszBMLQqCwU+CUxDTw/IbRWYDWp0990IvuAOHp2l005yC Rr59e+AHHlfg4tWr+mZAqLgsaA0ChiI1DRh+/etk/ybe8uu4SFbVkEi4Atss sCIUnblt41ma84ahkt5VvuZDWuEKfARy6qOodfICTy2kuupdXF7d7ONltTuU YzkNAhfFVD8PXfziVwclpqu9RAnguUanbaHI5Czw0GQ2Syz5GO+FC8X3YzIj L0Bte8HOLMPvpaXgYpLHcCjWmELbD0Lcbs9TAk5e7a4b/Qku9nALwZX906vn uBVnFrcoFGi5AogLmaUw6E+lmlwfx9M8Itjr18mqVmpp20QJ47V3LPsuZn+a Tu4wql0EilLo+/f1mEgW2g6KyCwhsJybg/g83perbbwT/7ve8mpMqG85uL3O mY8nFE7kirNiH1dvxwSGzEcSmBAYzH0eN1DDWb2GPVTdaCse2SgHxC/SEC+W m50Iq3dbZdmnvRDGcHY9SUO8hj+UcKJuo0GFmofsv2aLQh9JKbMI3GRh2uOK p8kack1TpHpuiHTt3BTP1M1q2RwrGje1UU1OmY+kMhhHp/egUlr2lp8zYmrh TJJrFXhapfEEJd9sqqo2RB+25ds4LeVk+N0fx9fJGx4Lx87sf/p2hNpMPvdT vJ+s3Hn4P7M3zyKcgc8zhl/1lpMQzcG6a26I7+EsfJIRqNDGBYUySlys1rVu 35nn4DxQl/sEZPI6hjPk4+0q0xw633dwu9wJLDyJbY5hxkEO7pRvmjFFAYFc Cl9OEaWu6SZTeGQYOj3H5xxP6M2Kr3Xr43i4NA2zIryezLk8OrjRlu11XVl6 OGVZeATL3Rmf8iCidShvatpImSCH4RRSmBIkQVT0y+ukKMCr1/xkP0J7SQS7 Pdtt87ZILI2lLqhY1yMvKAS1l6czOh4hw+0n18sJMl9v411RSIxLs3fkM9ya R0VAkQaRx7PPxxtBhMt9eY5XEHhyx2rNCnb8fs15GRtUlOejtrzw5wgUPRj3 hptxUtfVKj3Umo0PIhylLA05XgLKg1CjFX93Kjr2XReXtUsJwo527885JMi0 N3cjPFNf37xWWwpa5spqtasEvfEmea/r1AgVJInvE+SVW0dvXgYipJ+SZRTG FHoQhd2XuadrqU2N2hWZa0wTB6+xtpzn+7jcQfdcW1I0k+sxlBvt56mDl9pB AkL6VzPqIEBtM+FP5wQpE5kZL2SP4KZcc5niGZoJQGHeHbRctO8ynDpzLYK8 VKvOTrqxNi6RkkcEdXyVmdwIk/ZOHYRsFA0nwIUIeUQRIgys2mw110PaNYuA 3LidJomNnJVC4Hoo59svmI8XAl4UvOlTA2VhVg02MnURpDlZRXc65mIWMuay IgLvSyz8aZfGdZFVlMDCM/Q6Wb+J62VcV1zzZAUduHpUURBkMOK213l6D3ku LlsVuAQl8rYldBB0xfubfVavtRjBcnDuYe4QqP6edc13Wz1Z6dm4rZR6BOFh 02UmGFrv5hV+gJIBCGYjggBRha+TDooX4Gx+4RKFsdIrvOar5ZVGpB0g95MV 0JVMAYvSqD49XF+MX3CPsAylp1RDXL4i5z6evDqplmqttaKO7eF2dxYQEDjo 0BKUTnVpIdVlZhH062yr+LAdhCEaT0MLF556BUEmVThGIt477FdcBKjGsqOL 7cx0fQJdCanU7VwmFdmkFXoE2fMu5SPEs0yqZKNn+ZFlxygnaHxraOTveaYJ ZYTMSCcpp9ro+42I36BPHMboV9vlPpazaXonjIssOOcELWV7vha3qoLE25mk ieMjzSV3CUJjCfVqaCwToUh6WMoWEyxTKdy5IVNnPTpcQynkoggKPoZclJ51 snGNW7lNECfdLR+JUwWhSzA5cFSnLbF6p2bo4xgaFAShcRzfgdLAQbYZ2QGe o0nWQEvIHl0tRgZfmXm4RDRnBGndnjqKdyXfmtWUixvEERwl8OtbjorbkvUE S5E2KqPY9FvQS3KeU41j6c6zEyLD+CAhqO9Ip1TNhMXpTVyu9JY9hqtHM9ci io0h5pzrgAwcVHLZL6wMz9F+w4QewePSDMwtCDJi+e4g83ZvjW0nTojr0GRe SLDR22WNr5JtblDwUeCgsrTghRA0u5+siOk+CVLjFylBM2R8dPSaQ2Q1ObWQ gWiqzQ/fJ0uyVHkHQx7H9pGNB4Vv4fd61xp3tVpeQVw/158dITtlHIJCjaQP OiR0Le8hJwNdAsEUxMBJ48mGT8wKBbjaLGx7l2hEbLTt36zW68S445FjwSwg CJcGxY/tLufxvky0iClguOSjn1P4JEoISm12pI3sGW7SgVkaUsM9qGw7N2bK X7jGSL9wCaIlOcEICXujPxK6yBbTKKKSTWHrSy4UUy7dem3n2yFyIoPbBBYJ tGfO13ViTOl5vo1jp5cSTIrtAYxS6Kdvf/751V+//+G13giJc52YkxFkmcEG xZnw7paTTWXMw23z0CfI30E7w/6qsetNKKc5zIwhK14OQUI85yd2Om4iw89T G7/TBy1vEhxwtucNWbRhBFO3W8CdXK/+KZE/gLF6EczCbXq/SAhSTeU6yWa7 WrDjtg4n2PQy2wB9pMJTHqfDVesdcqSNpQQVxYago5zydaHteQe3nZjLGB2G SgUJsSQz9TKGSKQCJ6doIm57RYpqt5mqKuLsu4jmQxqYl+SdQv0AiGOjKvVC 3NqzgsAuSVJrsepXyqvXzLxv4Votw5xAfw7qtNPNgThV7/OEoCu0qHiLBGCs zkdOiIw9vYIggu/wsjT3Ez8xQOAji7DtZLkLV5gVQXxKUUfqT+BpImnj+lX9 PCJY6xaeApB8Ypl04FtzSOzjMFRYlFFVEA+ysX6l9VY6ATI48jMCk1lXN9Cx ONEd5rgOzv3wP4Yi0icEsdA+uU0wHQasvFMVPsKJZhASgCU1mCQTsRFy4JJZ qUvQJzDE+JiJi3AYAD6PCMLNPThzQkxnwIgcZPN3RlCHHUwGTrofNq5TzC9c gpbL8rBem2E+ohDnyGUOQcp7W8WrHWx3vV7o4txhOyRrXml6GACRZKKHAVnW snICUjsw0Zlw3YmQXcCMIMZombevq93NhFPs4nrSwSlOCJZ/cjwdl/bwheTQ dSwJQ6nvbg8JhpVStAANJpLNKA/ImkvoESQSBtHkdPNXZGEB2whyXS16k4RG 0lcdOV7IHYKOdNmXlpUHvRaMBWhLCVKaEr3n1Iw8MkrjzCNo86uyq7gdi5HI YuVuvVtqfkaI7Uf1MopqmyoPffc/vxgqQ0jX0iKwOhJA0phqd21ceObnOUEo ISXyaqePZ0UWtiUpIWhJGuAKwVFBKx3RlDm4EqCfRxQe7zDime05R3b25QmB uozjQf1qVXMRUu6mojQcZqwQhoJg/GS1m8wWMochox5OAIXSCqoxLrcjJMR2 RGCGpGzWIKozIKFIVBnXSyighfZX5iqlSru6uDo1c0MCKltP8yQIBxLp0LUJ EEP6LDXi3YXInniXoOF4Cv1ILwkJpiDVfujQQArVy/igd5q7uIoVwPKQAa+I VT/iGBuWHoe6wlhA0H3aVgeaHlkz3q7NLKQdyh0CF1l6nNVuV0/UKj1k2T9z CAYLt1U8gfcf4npjmZ/mdFjlxlFs24+QWzsjSCNsxZ3Q32HOvuEGiKDqR+C9 9ysWG0PCyMHiU3sEfVKgIo9j2DpICQ5Myy8KAhiIpkm3PfZSTubMD40iXTmK 9o4Blul0ToEhS6ncI8BYzpVrJA8f1Qw5UiGJ3U4wozOIhiYq/bjan184BEMF /eSmPpHFcK57EBHU/lSwDkjqJiKZixwdKSwCWKIOjMw0P2KHyNK5sBJ0HQiV jNi0BpkA2QRp+QT92T0AHfOu8ZH9xHlEkEYazlvOqnbk8HpKgfLVDgZLiH/j XLCPPEjQSwj84Db5+vqnP//806sf9QQsrpYqAkqCUu/R9uh1AWyne0iwx6Gw cijj7sTtySKq7SKP8bASCoiVwU6aOZYRGVNaDkF1oI1+DUNNsgiIRc+KCFDU h1nYOc2ERPx2PIIst9zv9VJCwBg7ZcIAVzcQUupRoOrUTS5+Duwbe26CReAZ z5TSfQt5AlJEATUIAe+Sb6E4oMduLm7gzuecoMFQZuBAGRlqv3aEw8/wC4qJ AdVOqA/TOsjApwgpju5I1pkaA9wYAnTbwdUtfM6oXOG44Emtg7rIwRBcSiv1 HeIhwFlNjpwO4TbFcbByBtDoXAa4o1rEtiYAlO9wPcyoDk6ELJ/zjOCgzQYQ rdIHwNo0oYMMJDOLwGpvK/CBtqutdiK5E+CCcRbkBBnCQdFnAv8QN2UBOSKi Zo7jaaATo1+4di0/zwk2T2MPhZuOkz2X4kQ9yZus4uCJT40iIWNun6Lg3Nfe M3ENDqnFczxO2CE6lff3kG4PtwlKPN3pmRNU2shsJUspmkogotkeNslgSKUB ENUc3gAXMTJhtCj4KkGMp4pnETq/mhHkBVufF47a0f1e7BHUNgFIqNSRhwkH CDej4AQEgtnrGDVamghXC2cZxZHTI6RVM6HIRlEnoXMnwZNssy16dwESlSV0 CfJB+e4uTeEh9gglryCIysyn6k0fS4BsxM4SgkFZQ6nXLLXIOaWU2bTnUsz4 JDh1yvyQ4HQfOUA30xTjYlsRbCrAuKVZ5/u49Q6ChMpZNgCYj4fAZPoaNyUt QiKK0BKaZAAvcGJGDaf6w4gg/RafmI3HwjWkBN0H4ynpuMq0ZGbkIsfi/ZCg piKsvELqgM2u975hw9+CoOaXJdt4bkbatZC59TxLCCYGql3W2XpDW27XaoZb 99ALaIaPzafN4/LDAGLJCVyRbjZgyv8QbjlypwcEq97LZF9XK0NRJcClsh1G UBPoxgQmwOyQqMoBBbJElzUUPhx0i0t39F2ixZvMxWHvQQ8KUU5O8nS+/wSp PymmroTFXPOkitNDnq9GGYZj+RQ3xASnPFBhm/UjpXi7kx6+IWLC9Zlyj0BL ta2wzeHuei8s7rQx5uQEXT3N0CfkbQBZd2/O2QZYNRUEZCP92ypeC0u/zW6M +OrHkzCxUw4WgfZvM6Jlc0iBYZIal2C0IoKos83mmMpuUYhr70gdArCeflg8 YaBsnHbyEopTHlR/HADXGqaTcU4diwgolOTdIe8dYltNQ4LRMKi+teHRTDIE WVwvIro4fj32l4/HSiKPOXZ8goxNxU/CZODGcJhnESRE49lQjjHcwTM+dwi6 IiULjdEREoOeBZygtgnxsDl2w4FAQis/xahv/7z1ieMmkMfKpQFB4U3S11rw iRERbAkhJ1ju/c1eKXVZQ9IzXkj0m4QCw65MqnoF/x4cZa15RKGHa0ZiYUQw LSK7nsvDHrxiYSDzuKw1I8l87CRbTlCS6Yru+5uthunvO1gE5YTAfZPgcDOD 6FhP3aOAoD8Ct0C0Fuc8yU0NpixA4sUFAYEblyd1Xe1jYc/15IeIs5FG3Cfo k4vny5nYymuaEOTg36xkYdAcmNk4sAFhx0nxp5eziGEOzufgFsGKA+TAQdwi jzQ2HdHkYdGuPIoTjWXiHarXE7ifOGQzluUEg+jDknUzMWQOfjxkUJkmVL3a ABRnOH9Tgj8/vUIiTgC4FNXwhQFMyLdw53KxkBMga/bLQ8ZZ2q7IijuHUZ5h /HGOEZvqBHFd5GxLSrD8gyPsZSis1QmRM0IwIUaT9+i6judHxHCK38sJelN7 OaX0sFpPwn77yJAuZBleaI9H8N6IGzcTZ/BaSHiCnACubb87VBmXmG26b4JD rWVJTlCNG57BGZvAlW0Ly8mQAgJtGW93+hGc2FPLPZdszOkYeugdINjGWUYh il0F29SXFGAnNRKK9uPT9cs7tchXvD5U27h8aV/O6qKQgObuLBRBuDap44XN yH9DEZ5kNyWw+R36d2WetW3gxZozQ6koTwMC76rJ2PLruUpCg6/+/+xda3Pc Npb97l/BeCqublmS+SY7ip1VbG2iiiO7JHlqdrMpFpsEJUatZg/Jtq3JaH77 AOCbANlt++xEO9v+kNhskARA4OI+zj0X1e1QA1iAHdKfUVWgQN6hOq+HgEpk ZWR5dX03GFU2kFNOzwsAfDBdl0s8HqKlc4rsU1SviQ2Aa7WxhAN5IiWsDDfZ iKzUslxZmHwQIMSaVcAjYHIkBFC1cNOstnjlxi50edgqAfg9PI/zFS/8bJQj wbCgMx7OAFKE25mF/FsOMByqhZcb1W2iA+IdjYDmzBQiCVpRBQnV58AHHO+l A28VL1lah7yGuapDpQixAb5HboIyihKRLNy1LWx/fcCpnoU8sBSMFSDSkDqU Fc0BMMGuY2KEUNqG6iI+InGt4h8djT1a2I7bKsBKoOqIl5KKMGig56bhYnVX A8A/XTMQe/l1SkQ/hl0W6oB12gH43jv0TCNLXIUelIaKCLN2KxIMACsKLABM HOqAzNwmhi3Xty1thtyXFrEArpvSuGH/k9s29gyqlIQBwGlXzTMzhKXV2iwT qpX4ASLnmKvcrBCRF8WLXNRJGAAAuhsJgLeVRRo5n6MciKVD5YfuABAQWxR2 c1TomrYdwJqOK0RRdU08120LuT5M3SIAEIccq6WbUN+ZrQLqUIYk8teLIhJd z7IopE2okI5MwNpojsSNFTt0Gyr53Dmi9HyV7jJU/NOaofU+BMFcu4aTLKfA 1sHaEyLgFm5GR9vQrWmYISQ7t0wuGqKnsqELZBZBEN5FoHjUGHNmUHclY8AA qKpyBgwJ8wVSmFCFFZGdQhWSYq5ZQncaz9eSZNQZtOP23CVovPhIaWnDgPpd 5wCbrJIqYzoVNgZCjBkYeNiqyuR/FGX5DGlQ0scBogqdgrDDpTKwqlYQIE78 PvB8QKpjncdzXwcwgxASsnyyLG/i2gNJEzbSimCFs8C03FxjHBE0DnLHMjge wHElg+N1T6tBcJ4NlZuGCvAdVnJzo9quQd1ZISJ5pHQ139KD9r2Mir6uku5A DaZwhjCYOmftKODAxJ62KqD3nhfGGV8u0nnnK8YwkbaHFdmAzMymOI2A96uF job1GDlzAL1WrSIM2ae2irVP1RlAn6SrZLNWZhjY+JsDoLL74C9uWDGGPCUi maFpQOOcUQRwHDG42IbtaBpQj6KDKMeTkquYNkk7BiqDDAe5kG7lqDpU/w11 wAnUUgHCROQdsUwNuivnJsCybnM8jJ47DnLBMLcAomzGRipMB6qnRAbIIcDV 3g8kvroW0dsOdmuqDi6Mz2g85UQLUMiYFRFAnmEd3hRd5i7UTRQSAMFj7qdX 5cIQEw9MqNwIHEB/O8BHxpM9AH7EiulABSDblqm3XnZsNGHGXRVq6JsRwFPe yaOSxr4NMJTasAAyui5JO+RTwWIfXRMQSmn8cNlgoQxs7HsWIrJseZfJRyIQ EugzbDzCnyNq3BUzLLLw5kkqqSJnYCESiFzMHi37sOtKt7BnOgGwuhU1dSTw zTrhVcPGZv0Qoa92p3y8fDQYfhACIocSf6HoGdSgeMhQA9iU2zmYoULGNQAJ SLUYH+ZxcC3odDsRwOfgbVOdwNGx+DwNkPZZZfoW9WCleb4mNAxBbIAXvyX3 JGwKNQEANDWQzjfAyqkzq3PiLwYmHHtyBghxsmQCcMnaeKUHQuSCcbHuEscH BAq5El6S13jzO28Vi7BZG4qgsA0V5HRo6gnLxXdJNQwz4lUAGWUbHiR6SqDe HduIAE7Mpp6itJqiC4VU26YLECHVGpDS+jIj3tGRTnmmSAGyYjYGXkW1Cnvw RHMAXNnzuoQOEi4HrM94Djgt86vS3SNxrmkWFlcTWSqA46fGo7ISKsx/Mpaq McOCyHRUQR0pvZdtYpOiDcCiDjiRVubfkoFkRgcKH2ACBVDNRCZQbuLFwpfK EizXgu0ATMtO2IyRynvZyhcrRNlQb7IVItSqcsWshHy1yoNiQ/OnbNUAiMEK tjQSZYVCl63IAFiWPJd7iOZZcw0sRHwGKIVU6ycrQiVgyI0cQaZoLjbti2gg rqai5LvMKWtaGnSyzTkg77Ui0z9+/Zrx6V+IUGWoMmjrASDG0CkqPFCpwIQK ENcCeGAZeCe7LnSRwgoW7AXbxgZWEZS9IdkgQ6BpX1Y4B5Q+7+BMs9xPx4Gm 2OifDeAuWCbprb+I/0YqRmcx1qpCxYkV+QB34GrhB6OALzBpgU4A4oQ7eRgO PMuF2EgJf8Xm69pzQFi76F+9xskiEqSJDt2ZtmEDaktVHp6U+TD9QIY2drE8 M3qIyBiocFNRmtwOhbahOokVuoDyaCxx3n9f0j9RhUouwk0XulDsCHBa8p4X JTEHat9aKhQb7YZQLvGRfFJbhZ44FkHU/evXShXOG93FWvFmBPCUNOyOgroN TzwCmAjU4t0YVYViB0zdmiPik+O1fqHwcyucARZGxUTEyOI4bS7VSuS+BgtK tWXPAlQYe80TcmIBDK07WEPSCgDnep7eMUzxAAZTN3SoBmX9b0g8MTkazB4X aoBcVzbRW6FKZtBl7SCqE42VHNOwmei2OjcAMJgu2dOIDQmlbLHIDGC4Z0xb pUt8hP5Ox6aFBACoQCcpelCD0qB4TCsyABhpXoBJyvc0c6GaaqAD4h/L1IsT GZ+87hpQa0BzYbiuArEj0KM3iB1s9FQNAT1vyLxH3CL6DAv5t2FlgEOS5Wly N2ATGNDkFWYTAEplDPOFQJ1PFl11OOQfPc1FuWFiqRvnCOxch/VBzuCDDd65 JsB/07HLhyGWMxVMTQpwT9aVBxk3n7hEsInWRAekrnAwqKSsn4WmIp0DXNac IG4ThwnWwCU2oKC8nwbXXpWox1kyV8kiuRJUJRcMLzcDRIy3DDu+fPtOEnHE qtIq4Cysa8cINqKhQS1bKwwBdhZfzdeJmGw6U8HQPh8A7esw2WVJlMciwbit Q+PQVjhDKPxd63A0OQULtg19gJj2vE6YNM4JNc6TIQMXSvBOV04EyICLk0H3 r63bWAuRABizqkUu9X9oM2wdDkSRPL6uc7bMR0i6sdRkhgmo1c0IjeSR86oY MhRoYRsuoNOVZr2RjQlLD2xoACap9oRLeV9dbC6NAUg2GKLfE0ONdI6wp4+r Y0js8itvLaakGNDAKGN+g9F1sfrFVcECyTqBcnXZtgMAk1eBpAIBL6fO12wV ezqGOsBC4Bp2miT5QPzcxKJaAh2QYr1MvYHqQy4U+W5b8xBX7kRKhqFZM6zQ CADemyVtybBOcv8pNOGRhZ4Btkw71nUrcerp4KoVJgB+yERzTYQhcllBmSCt KAIw/gSdYug8dXA81x6rqyKgTh1q8WFXjo2N9hNAyewieZp1m3wU4zE2VvJR OQJIIuxYjgNAFmgA2op0QKpS23kt5pfaUEPGmQEC0KVTRFqpnium2Oy1SAXw 4jU8m7IUNs3FQkHo2YXD26Tc2BWgZA4WtaxagMyNFkebfANa2FyCcAZw9XXz 0kdPGCy5yBzBWFmRL/CCQ1LuBQtbTdr0AWZA5Wu/OP3+9enZD6K/HRrup6Y5 AJxQn4hiCAmcIeMCpAeL0K1XtfY0EufXDGy5MtVHEHN1NuVI5W6sda7qgEBS 5VaQ5GTySDSY+nEGqMvSdbqPiUBslRDdBIQ8uCTJrziPmBRT5jrQEBNd4SaC uC0v4jRjBULANZ5UgGEwAg2xVGyFyRmCn5d5Eq7IksWRRLPXgOYaW4QAIMDc h8qkngStoM2gREpWhMhDKgG/IkOBjjUSIxdRosxfBGVC9K3EEaLp0IiXRWyU JeBFxM9FZjCemwb1Qs4tHZwOPXqgYBPUiAYIiRbZ0FJl2oHWr6MCA1DApuF7 khP46DMsHIQEgMLtBfVnKma3Vn5fHWuSBypA01imTKtbxssrMf8F6vSwnRDg 8u0EEwc4hKGZXcyPBwI21cXmB/JaoaBIKwwB+7A4tKnRAl23BqKOMp+5ICXM LhnKpMT6NiwEYqJ9iIzYgFC6L1M3CRDwPRQiMrGKHNEAocOmGvtApzWsN9qe I/BWzPpbrm/9Ttpcwect6PsO1Pa26cmKmHVevGAoZDtDu9MDgKO3UvlZsUJR 7YfC8phKB0KfrgdUOmgilO4AFnULAC49/2ZQbIcdzBGHTJcWXd5vLO5b93Hq M9OcKxeYiKXBUnu5BsBnFybbZI+44IqVZgQwaOW1lIdLKGFTNAIfwD4gASfI Vzw2zXJua9iCWyNqFVSM25YLKJfIc4dH4GMGGHijoYhTr+RHjwVdHI7jo2wF SUmUfoYrj2VAeSqo+Ygw0hmcjJHsDuTjQk8gdwZwoHobqEzAzDxzANamz1Ph pYHgrJ4ZWBYTywUE56hmUjI4MTEi4k/BfoUIEHgO/KU3xlJhqNi4Sxj4gDyk NAka/USCwW/wndBF4poOhu9hGYt6oGVBowOMNZoAtKkm42hIhaJWCVaGOIAl 0gprfEhjSXTOgcY1dBsQPmqSjwY4XrHFFRwEp1DjBqZKKksr4er3e1+w3G0D ylDL4Fkgryqf8XFoFlZuI3JI6bG+IH7qzddhGPccO3WEH5qDyepVoVg821al t0y4vSOxLqGwcWICxGEFdI8iOdIdWifW1kMAHK7IlWfONMaZn8ld9A5YHjoO jJBlmXoLqp0sgztpAZe6sjo4lUoFHEKVx3tVFFSScFlAPcbqDGC/Vy42WbB3 5kKhTnMdQA/X9jcMHJsaVAyaPqJeVYlRZRz0EkIIqNZqzwAd5r3dIgjigpHj LiDvlcV8K1NyxCWFBYtEM5y/ZNE3F+q65Dr2vLEAbrSUbORLguYJ2qYKcHh7 o1awbUNr9VlEB8CY+QRLLUlsCRzbIYB4O3M0yM1eKM0ySxBC0Cmw/HjyfrSO FrZ68NwBhHt5dyutYyBLDRxtCgFrI7vLyrOFxyZFJyWWYM1HULuu/DSP2d/L nhdBA0HHc00oqM92Z4CENZ4AsVpnzCigp3jorXLhJLctcNZuCIjtNSCS7G4p FByydHAhBR+gn3KS1BGiELDdYiIq4NTsX8zQ9ULihzK8uO1geVMdB6Cnhn6e p5lHdRDRBeUa0HpltmkBsKreeIgdDA6Y+4D4zE3Mo9Nym1aDMsdQ3QNapOJq lAxTh6pNRAUsD8Yfs6ZN2CqRFsg0wVSNJgBhVARlGPxigIYbyuFpByGAKKSL uSgyHOWGook1z+c+KouDEaZKyrvzkhCH11iuIUaFiEr4krDZWSq0hKrtEgCz dTvsKCUoaHAA0MrdLJQHoBqSFYAdQkUZBjbbbg5YK7xs2XydxaxuGfcxCMFq bE4jS3/FeJ+ajIPx/Ffo+WOGAKh5y+83X8eLwcohFtYadu3gyxd8RV9Azcuc 3MoJDGwVyzUTAnhKs2SdBoSTlYrqFZSA3vZDQAy4W+Ldk9VY0FTwPLsIss8r b5mIFd5NLBOHacCyNGu7TERDgWHxNmIZNxAMGb7PAWeH+YjUg80x9S1TawY7 qjmChb6I537udzp62O5n0Y4xKfCG7P1tKZf7XkbN9Br3/B9hGr8nafaM/vKs uOWANihgt3wXBv5i8d1ndd5y+6BVTOcXSZZvN4KCT+TzR2Cb0Rbz/wCn3jas Leb+j5327fbqQ9gCRU8BY3koOwI2oD94g+DG8QD2y+bBjGySfpBi5aerJM23 WFhly94gyqteTAjRdNeUDKRs8qxqwmySwm3w+XIrMINtRvIQBrGt+HpQXwa2 YR7Qh/qCfWP2c5XX10HsXQfhFl+natobCr9cUyqJ41hn82fXVDI8Yw0P/spZ Mb5oz+iqbW81jD96BFv6rx7OJ0FtlgfzhUYHdH/06BHz/saBQp+oEPZU76Zo w/+rTLI8XQe5UlxU9uJllu8r5cVV7qXkKlP22H+nyu90gthjygfE4UfluTKZ rOm1VZ56+ZTdfND6N331ygs/+GlUvjSbPsviv5Ekql4rtJge0ZeIP5a9y8IV feWT/g/ZL5NJq1Mvniuq8uRJu5/fKpatTr9rrnyjTn9tvSpIlmz17SkeS5TK 0zjIPU8JWIs/xZHy1enZ5cn5+bu3l6ffvz6hFzvLQYkW/lXG25JlGEflTSGJ YtpkcnH51rs8/fn07Iep8ve/dy6/+fPJ+es3x6+m9JbgjhqfmZdXf/FzOsw0 p+NlqPriojKZCq/pd62KYIRxxiIw9S2LjND/LxK6pb04/StLvaM/8q53H0qf SZf7Ir4hizv6eSe9ta9MnijBdKo8USaXP56fHL/yLk7/++RAm7JBKHSmJ3So F5fHL3+6eHv88kR5qhSfvF5q+XXKAsrxMkqm9A9fVori58ltHNCrAXtBdhOv VoxVhPnvePf4YOncKc10brqP0b7TOQxuqgdUI1SUqyRPlGIxkFW8SK7WhLW5 L4dfPpT1kz41oxKA4zxYPbqp8tVz2ofjt97FycXF6Zsz7/zd2Rn7uGMPDuhn XNG9x7DYdG8ok3LBZXSv3db44IRxkE+mvLutbtCxecU253N/8GK+zu54P7Rq 9qSLdKtJbebk0+eXrrRlnvr9L/Tq5Pt3P3jnJydnl+fHZy//i/9GZ2/l0S1L x/D4oniK8nWmhGui0Bmjf6P7Lg4ZyltJlgqdJ+Xr9f8wBwvd8wcvVqt9NvBS ciVMCn33jfKYib2B+esOrflrOZ6QBO3JPNq0Ktg3PHix8Kn6n+W3bFeqR61r VFgnaevikgqRmEqG5goXpM0/18sP7GxpXWmP7Xk16uq3uPskqjjdtq7c+ukN y6Pwbwm9ekZPpe4PUZLe+nnrJ5ncoM19fhilhAGZit7/fPyX45eXbJV3mrcl yvh9fXElrDB6O9tXq2o4deNmztj/2E+TvWJWrqkMCqbVOD5RzBb7RRS29LUy UctPPENvWpKFv8pIyE++8qdp5yEvFPE6l+SFgFCU74buPNh05zfK5B91E3U6 fAMVuvJXPFW0MWHKhE4l+KsPQyU037s8uEzX7GSv+mW/NyejIqX6Bvz67+WA 6s9QJY2xae3NJn1beWXuZ6SaCj6Nvdkbakmnrd2DYin/+fg1m42yz0rr5mx9 qzx93htb1YzNUN3ZF4r0udN6fEX77qN7N7Ez9OLHN69fte8qxWUhVSaPC+0n oXrgNTuRyMeAkJCuQXaSZtfJInxcD6Ml4qgy2T+89rsnF93Qb85ltxbSnr++ c1qwP/f137rzrTzvbKYjSTM2/HKbN0+67y6a+54M6IpFtToaGwWlK4KfPOnK 5F/UX2sVo/wWjRD/qpCI1UoplnkS5dW801NpSfyUnk6P97uP3e+cBuXslAJx 4FH9R5Q3dc9XccpFdaTTiC4nKmv5h7xoVlBnBSjbL4Fi1X2M81r63ZefpHNs Nqdm97D8Rvg4vZ53NZCi7xc/nb59e/Kqrwh+Yt/7Pb/foB2TJYcnLZOKGGFQ T2b2QJLKVeVSK6Or8l5maKUMsiWxterrzGBilECb7a7+rcreTcrOTG5yvUi5 ojBqm9HmO9NsZ5rtTLOdabYzzXamGdg0qyaCHUc7U03ZmWo7U21nqu1MtZ2p 9iBNtWd7ygH9w/SJKKZ6eGGpFNf2nlWG3PskDktLzl8svLJxadbUKvOwrbYz XHaGy85weZCGy2OWCpAellv68f8zA6Y3+p0h0zJk2opHOfGl5qG0oBU7m2Zn 0+xsmp1Ns7NpdjbNH2bT3D9ib3h9evbuLx7dzrxPL9+8OqHq8k8n52cnr6ur E33f3tfUqRihGrBplkkeRzH9fc7y+ZS9jCyi/Z59QgXQfmEi7YV+7hfTN2EX pgprf1T9gzZknR42pARLaqrwJx71rDZ553jAqXpk9Rvdqr8rh3VLhmJlwSn5 qO+PHhXTvu30SEy+4dHxNv2hlF+w/cYiR5UNpkCKcnrAag7ZK1ijNKiFEP1X /FzdV357XmhoyTKjSsI1FRd7PW2PK3il3lG32qP9WZBCbr67vKCa9euT44uT ZtPTsQa3K9Z/3ozqzPqhfajPDgztZz99PG12e+esKDpfP/w2zqhWGFwrEyrM 3mdUlE2pIBp6ZiUH+DAPTk7P6GnWyIGiX/xt5RRxygaqkws3VDZXGkwLxTtZ F27pYjpbE9S6Grf+/tvRo084yOg/zi+Z5lcdDz3rtDTMpsq31LwyNNXRp9Xn 4AYb7TwjYgo8as4xK6V/X62Y1u0rnfT3R8IXKJ9Rti36ony9WE+Ld/hMjVYi n65RBlQe6Gn5Kcp5PXvz88nPLTOmnE02y1eLZO4vDjNvQZZX+TVt3mhrxQr+ 8fTi0jt7c3YyPeKDEO6oxtJ/WfUBJWMsnkFFSxpzf0T5KHGAU3mv0w88Ubno 4JP+IDj1aaXgC2oqM56K3e2p48PtNtY+pbG+sXGtpPBmRcHLIl+Ve0Emj9XD 2aH1TD3UTJV+58lyfeslS0ZazJm/JlNlT+kG/Otvv69YtsFfErHZpmKGfrlv dfqfp0+rz9HGAVQAB/pAbmM96V7OlF/iX9uCZXXwIr9bEab/UCuCvTZeFtZw JUjn5CpeNqgJHkli6AgeeCu/6bO9Shwyn113z8u2BX8Y9wlcxbT3xTIpf6UP +jpkkqklGaiYCrpK0qdptP01155Ly1YHZ1OGqhB+yeopHUJrKHs3wq03vXu7 JzqVymz3UP2o9B60RW31I/0cLLBXXC0jwGWuQ/mvMmWipT/2Hyz57IMR1nLN sAtVYkZz8tzQq+vDm3R1eLM6LDs9KXSSaW84bQOqGIH/kbkU3pP2A9uPrBtU HWruKFUafjBxtXvjA+jfJxo9rc29s3Pv5dt3F/VZdy+MpSS5Zh9PiiOq7iyF k+fFvm16Xus54fr29q6aEGGSjoSWVCv1mrdWDpz6ACh2TJ05wiRmfe+0PbGs Nf+4zXT0HlDDl8pn8I61rLvyKVwytOzC9XKrPlRz+aeWKfRJHWj5Dnoftmy7 7TKrm3en9omYgfN5X/OP/5L9WfyXfsXhl7e/YCOAgmYgpSgpnsSYL9sugbZD +UsODKWlqVcd4ctJ9natr7E+hNNr+OT/3LNfcvpr/WOgOv/pR9xw+t//63qp D/aSO0K26WdfF9joj/9Uy76/QwSDePJEbil3vA7dZ/BeeddJcsO9PhKLWIzx PZTl2/XMH799+ebsP713Z+cnP1Al+uTc++nt+ZvvTy4K6fRbs1XHlLQvUtO+ TFErJvcrUXyIS5M37OpLtQjmb+BSuH7Db0+f/sreXgnS9qoV5HU26aeL7k3F Z+4rv5Vf4d9uYj97XtPBia0UktbcNhjv8emVqQz/VlO+YV652gBdsPKw7v/9 iRyxoXiUf2tRObR6qWiWqfOtSWR//tnetf62bQPxfLX/ClZJEWuzJctLYixF 2g2pu2ZIkyDpPmzLYMi2EgnWw9AjSbf2fx+PpB6ULFl+JEhbHgzYlije8XSi 7se7k9hUjl1X1EphietYQWBM2mh+NkHG0nPhwnhkha6yTue8HAGWIEAbp9eb qkGawO7LYPcQ35H4DOcijyVHOd3oQKdrj7VXZ6zThcPNwaT1rClnSstZ0ub0 u6puWZx0gVoXq3RZXULUMW4X3wxi0cvUy0Mujn8FQnpCr/u7xQYLc8WOjkqi D8u5y3GKGfBNY1NYEAijpmvPE8MurNnza+PMMK/+PDt+f3l+dvLXYHh1/H4A qRbwkgbT91zrX/Y+31yuIePrj0kBHZd4WYiH0egqHw+D5APPfdUsxsPKYjpr apcKvFJHXErfEqGl84uL+DRlTVqjJp2gneXQIjcxLAcWswszmU5qosXSfNbK W0Xi1T7DRfSaTlg5LquJymBuWNPB/UbUuKIW/blqXBl/FdHXN6DeuohrA8aY zgPxj69XbaX4all/uDa24jy2FXFVmTO8AFM9OqKqMbY63n694c3z9p8CR5WF mtaxmFL8tEijm9HmappcFTUVIj0bwEt10FKGbylSysf7HyV3ooCQ6uGjJ5Gt gIvqoqIvG0IWEy/OugVgQGWgaGHuAin2lVlgPuNWs6QrKK/xsIdOCp8sYj25 vNJWLoUG/SBnCnMydTmWLLPcVTmVRostmrz7ME4gRfcmlKa1aLONIa4awO7G N4wkEy2WvTQd6r/EAOKk22yCVCZNsCJDkaT7SK/mNJwYY3uYJHXhpqrpOYbq 6KYRmGqCETO/QiMIg8gKjXSbgs8OhljqOPJ9bIf47+xQ6x9qCcfU6LFa9FDH XgW8MonLwboFqJYdWht1uZA5OaTzmuUWx6MmBognmBDpd7dxhxPr7mAPtc7I 40PZcUHkJL/zq1ZpitdNNpjWehnIbWRaYYCnTduexAUR9J9juSp8Y77k29Ef YGZNOuWibZye2/hcQkIQLc3LyjR3D2bEb8cc5zfUHwpB/pw9craTXSUpMTCt noHxAVbpR0k6eGJz+3lNc9OEuT2uuWl1zK1Xz9zwZPu05tXfX9O8esK8Hte8 epx5ZXJ2b+woMDNFI9lsiurylc+f834IV5lT3F1WaMulbDBn/SxyRoaPvBva KZwFfEZYD6xgPnHWoSRNrhKmpAk/oMqS7NgC4Qobh0nmG/4JyfN8t/PSuYfA KwdpiHcX+nIVSmGZ5oBNEKk3YS/MS8YuUSZQXhX6cqVclYXk9cTBByFyVMJ/ Sa758up6bOOjxp9W5RvRywCDpaUY08OSnCSS1h/5xppSEJi3ihwpPqyQJFdR WH61Z0IeYNZUNlpAm4lzsBhJSX2QjN6gjoYO+WcQkggK7S8fNimJq8jk8O3I hWuPmnRz23LHdjQxkAS4rxN8ckaeHSim1Pxw/vaP08Hw7eDq+PLkAmqwW1LS cefWcA0fUmKpCFCEwQ44PTkenF0NWtJvF6eweevZ0xTjXQsS3BVbh5uxequH psEw7BCe368E5po8upj6/X36fbDHfWPqdQ+6W5qmHfT3uv192N7T+j/1tlB3 IyNcQBEYJEJbgW7f6p471X1nbrtF+79S2n6hjrDrMdIDE18e6NcoND3/EH0g Lhv6XUFXybhRizpyv9iWGz0od64RKtbIUcaeI8OxH00rQMHYt2YhgukpoJcH il8CgYG355AlFpReQceIPKFGdyeIPFwFTxQekpTpTKX3YAV7eBLu/ILV2+lu pNvYa/UjF2FDpd0xpvdWaKLOlHTWme0hb0bYwl3OCFPGOnBmjJVmc8xeb7Gj NbZLpGuShbXhu5PTwREvGttzOfiY3wtPHyEtms50YvlYIIR34hlRv5+izrs2 2m021Hlv6VNhAQa9QOo1e/eFiue1RsM6IoWGrR0MzPOHwFTTaGC/+CiIRviL NLJk2DazrRBWb9pIx8ddX7Om0aglXUtSG3/0v3v/kI1kBkfwF//7EktHtUOE UjkRqyV8XNl20Q47bQi9Rjvp6amr3ueu3Gem2ti+m1/BHU2QIEGCBAkSJEiQ IEGCBAkSJEiQIEGCBAkSJEiQIEGCBAkSJOj7ov8BK8I05ACoAgA= --------------040306020202090105080706--