From mboxrd@z Thu Jan 1 00:00:00 1970 From: kbuild test robot Subject: Re: [PATCH] net/core: Fix BUG to BUG_ON conditionals. Date: Mon, 9 Oct 2017 14:45:45 +0800 Message-ID: <201710091416.SK5d1gay%fengguang.wu@intel.com> References: <20171008191720.prewqllyazdstwkp@debian> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="AhhlLboLdkugWU4S" Cc: kbuild-all@01.org, davem@davemloft.net, willemb@google.com, edumazet@google.com, soheil@google.com, elena.reshetova@intel.com, pabeni@redhat.com, tom@quantonium.net, Jason@zx2c4.com, fw@strlen.de, netdev@vger.kernel.org, linux-kernel@vger.kernel.org, alexander.levin@one.verizon.com, devtimhansen@gmail.com To: Tim Hansen Return-path: Content-Disposition: inline In-Reply-To: <20171008191720.prewqllyazdstwkp@debian> Sender: linux-kernel-owner@vger.kernel.org List-Id: netdev.vger.kernel.org --AhhlLboLdkugWU4S Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Tim, [auto build test ERROR on net-next/master] [also build test ERROR on v4.14-rc4 next-20170929] [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/Tim-Hansen/net-core-Fix-BUG-to-BUG_ON-conditionals/20171009-070451 config: x86_64-randconfig-s1-10091351 (attached as .config) compiler: gcc-6 (Debian 6.2.0-3) 6.2.0 20160901 reproduce: # save the attached .config to linux build tree make ARCH=x86_64 All error/warnings (new ones prefixed by >>): In file included from include/uapi/linux/stddef.h:1:0, from include/linux/stddef.h:4, from include/uapi/linux/posix_types.h:4, from include/uapi/linux/types.h:13, from include/linux/types.h:5, from include/linux/list.h:4, from include/linux/module.h:9, from net//core/skbuff.c:41: net//core/skbuff.c: In function '__pskb_pull_tail': >> include/linux/compiler.h:156:2: error: expected ';' before 'if' if (__builtin_constant_p(!!(cond)) ? !!(cond) : \ ^ include/linux/compiler.h:154:23: note: in expansion of macro '__trace_if' #define if(cond, ...) __trace_if( (cond , ## __VA_ARGS__) ) ^~~~~~~~~~ >> net//core/skbuff.c:1884:2: note: in expansion of macro 'if' if (!skb_has_frag_list(skb)) ^~ >> include/linux/compiler.h:170:3: error: expected statement before ')' token })) ^ include/linux/compiler.h:154:23: note: in expansion of macro '__trace_if' #define if(cond, ...) __trace_if( (cond , ## __VA_ARGS__) ) ^~~~~~~~~~ >> net//core/skbuff.c:1884:2: note: in expansion of macro 'if' if (!skb_has_frag_list(skb)) ^~ include/linux/compiler.h:170:4: error: expected statement before ')' token })) ^ include/linux/compiler.h:154:23: note: in expansion of macro '__trace_if' #define if(cond, ...) __trace_if( (cond , ## __VA_ARGS__) ) ^~~~~~~~~~ >> net//core/skbuff.c:1884:2: note: in expansion of macro 'if' if (!skb_has_frag_list(skb)) ^~ -- In file included from include/uapi/linux/stddef.h:1:0, from include/linux/stddef.h:4, from include/uapi/linux/posix_types.h:4, from include/uapi/linux/types.h:13, from include/linux/types.h:5, from include/linux/list.h:4, from include/linux/module.h:9, from net/core/skbuff.c:41: net/core/skbuff.c: In function '__pskb_pull_tail': >> include/linux/compiler.h:156:2: error: expected ';' before 'if' if (__builtin_constant_p(!!(cond)) ? !!(cond) : \ ^ include/linux/compiler.h:154:23: note: in expansion of macro '__trace_if' #define if(cond, ...) __trace_if( (cond , ## __VA_ARGS__) ) ^~~~~~~~~~ net/core/skbuff.c:1884:2: note: in expansion of macro 'if' if (!skb_has_frag_list(skb)) ^~ >> include/linux/compiler.h:170:3: error: expected statement before ')' token })) ^ include/linux/compiler.h:154:23: note: in expansion of macro '__trace_if' #define if(cond, ...) __trace_if( (cond , ## __VA_ARGS__) ) ^~~~~~~~~~ net/core/skbuff.c:1884:2: note: in expansion of macro 'if' if (!skb_has_frag_list(skb)) ^~ include/linux/compiler.h:170:4: error: expected statement before ')' token })) ^ include/linux/compiler.h:154:23: note: in expansion of macro '__trace_if' #define if(cond, ...) __trace_if( (cond , ## __VA_ARGS__) ) ^~~~~~~~~~ net/core/skbuff.c:1884:2: note: in expansion of macro 'if' if (!skb_has_frag_list(skb)) ^~ vim +156 include/linux/compiler.h 2bcd521a Steven Rostedt 2008-11-21 148 2bcd521a Steven Rostedt 2008-11-21 149 #ifdef CONFIG_PROFILE_ALL_BRANCHES 2bcd521a Steven Rostedt 2008-11-21 150 /* 2bcd521a Steven Rostedt 2008-11-21 151 * "Define 'is'", Bill Clinton 2bcd521a Steven Rostedt 2008-11-21 152 * "Define 'if'", Steven Rostedt 2bcd521a Steven Rostedt 2008-11-21 153 */ ab3c9c68 Linus Torvalds 2009-04-07 154 #define if(cond, ...) __trace_if( (cond , ## __VA_ARGS__) ) ab3c9c68 Linus Torvalds 2009-04-07 155 #define __trace_if(cond) \ b33c8ff4 Arnd Bergmann 2016-02-12 @156 if (__builtin_constant_p(!!(cond)) ? !!(cond) : \ 2bcd521a Steven Rostedt 2008-11-21 157 ({ \ 2bcd521a Steven Rostedt 2008-11-21 158 int ______r; \ 2bcd521a Steven Rostedt 2008-11-21 159 static struct ftrace_branch_data \ 2bcd521a Steven Rostedt 2008-11-21 160 __attribute__((__aligned__(4))) \ 2bcd521a Steven Rostedt 2008-11-21 161 __attribute__((section("_ftrace_branch"))) \ 2bcd521a Steven Rostedt 2008-11-21 162 ______f = { \ 2bcd521a Steven Rostedt 2008-11-21 163 .func = __func__, \ 2bcd521a Steven Rostedt 2008-11-21 164 .file = __FILE__, \ 2bcd521a Steven Rostedt 2008-11-21 165 .line = __LINE__, \ 2bcd521a Steven Rostedt 2008-11-21 166 }; \ 2bcd521a Steven Rostedt 2008-11-21 167 ______r = !!(cond); \ 97e7e4f3 Witold Baryluk 2009-03-17 168 ______f.miss_hit[______r]++; \ 2bcd521a Steven Rostedt 2008-11-21 169 ______r; \ 2bcd521a Steven Rostedt 2008-11-21 @170 })) 2bcd521a Steven Rostedt 2008-11-21 171 #endif /* CONFIG_PROFILE_ALL_BRANCHES */ 2bcd521a Steven Rostedt 2008-11-21 172 :::::: The code at line 156 was first introduced by commit :::::: b33c8ff4431a343561e2319f17c14286f2aa52e2 tracing: Fix freak link error caused by branch tracer :::::: TO: Arnd Bergmann :::::: CC: Steven Rostedt --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --AhhlLboLdkugWU4S Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICKYW21kAAy5jb25maWcAlFxbc+M2sn7Pr1BNzsPuQzK2x+PM1ik/gCQoISIJBgBlyS8s x9ZMXPFYs7a8Sf796W7wAoCgsidVmTLRDRCXvnzdDer7775fsLfj4evd8fH+7unpr8WX/fP+ 5e64f1h8fnza/+8ik4tKmgXPhPkRmIvH57c/3//56aq9ulxc/nh++ePZDy/3Hxbr/cvz/mmR Hp4/P355gwEeD8/fff9dKqtcLIE3Eeb6r/5xS9295/FBVNqoJjVCVm3GU5lxNRJlY+rGtLlU JTPX7/ZPn68uf4DZ/HB1+a7nYSpdQc/cPl6/u3u5/w1n/P6eJvfazb592H+2LUPPQqbrjNet bupaKmfC2rB0bRRL+ZRWls34QO8uS1a3qspaWLRuS1FdX3w6xcC21x8u4gypLGtmxoFmxvHY YLjzq56v4jxrs5K1yArLMHycLNH0ksgFr5ZmNdKWvOJKpK3QDOlTQtIso42t4gUzYsPbWorK cKWnbKsbLpYrE24b27Urhh3TNs/SkapuNC/bbbpasixrWbGUSphVOR03ZYVIFKwRjr9gu2D8 FdNtWjc0wW2MxtIVbwtRwSGLW2efaFKam6Zua65oDKY4CzayJ/EygadcKG3adNVU6xm+mi15 nM3OSCRcVYzUoJZai6TgAYtudM3h9GfIN6wy7aqBt9QlnPMK5hzjoM1jBXGaIhlZbiXsBJz9 hwunWwN2gDpP5kJqoVtZG1HC9mWgyLCXolrOcWYcxQW3gRWgeaF5aHVZz3VtaiUT7khWLrYt Z6rYwXNbckc26qVhsDcg4Bte6OuPfftgIODENZiS90+Pv77/enh4e9q/vv+fpmIlR0nhTPP3 PwZ2Qqhf2hupnCNLGlFksHDe8q19n/aMhFmBwOCW5BL+aQ3T2BkM5PeLJRncp8Xr/vj2bTSZ sHWm5dUGVo5TLMF+jkYiVXDkpPUCjv3dOximp9i21nBtFo+vi+fDEUd2LBwrNqCUIFbYL9IM Z2xkIPxrEEVetMtbUccpCVAu4qTi1jUfLmV7O9dj5v3FreM0/DkNG+BOyN2AkAGndYq+vT3d W54mX0Y2H0SONQXopNQG5ev63T+eD8/7fw7HoHd6I2pHE0CzQbDLXxreOLprTx+kXKpdywz4 Jkcb8xWrMrIFw6QazcEuRiZE2hxsNSkaEWA2IBVFoPzxVjAlxrMJ1GgU572Yg84sXt9+ff3r 9bj/Oor54GdApUipIy4ISHolb+IUnuc8JX/D8hx8iF5P+dBKgiFC/vggpVgqMrVxcrpy5R5b MlkyUfltWpQxJrDkYF9hV3fumTh0soOR00EWADopmFJrPjxbqmumNJ9fEo2aOyYyRXSjZQMD 2tPKZGiaXZaMGRbvvAEvm6GTLRj6rl1aRA6NbOFmIiyDp8bxwCJXJgIPHGKbKMmyFF50mg2w Ucuyn5soXynRY2QW+5Awmsev+5fXmDwaka5bcHwgcM5QlWxXt2hbSxKR4RShEdy5kJlIIwdo e4lAG21r3hRF1IIQOTLYChATOCRNO0ugilYCSOK9uXv9fXGEJS3unh8Wr8e74+vi7v7+8PZ8 fHz+EqyN0EuayqYyVp6GN2+EMgEZ93BGMumAvYF6V6gz1OSUg40CunFfEdLazYfI8OgdEao6 ooFNFtRNxiTSFlvdoWhzVNosdOSMwSy1QHMQZgq4bQtH6WJ+j4P6BE04zek4MPOiGGXFoVi8 zZdpQpDDo+Wsgtjm+upy2gjQheUI6YclWxoo30RYPJZKpgkeaGSLCa9AvFBdON5GrLuQadJC hzY2FxJHyMEqi9xcn//ktqMAQQji0gfYUiuICNatZjkPx/jgOaEGYkCLogCSZ1bT57Bg1UD4 krCCVekUbBLCTdDawTBNhUEQYNw2Lxo9i2BhjucXnxzln3mB3z54d17hzDPHdi6VbGrtyiz4 7nQZPTfLbNd9iqEWmT5FV9kMvOnoOcjzLVdxlhoQgzk5fMY3IuWnOGCQUCcna+AqP/2SwDEO DFqiJeu4wFHFR1nxdE1BKNpNIxWP2WjAYeBKU+6dT4NyFd8AwGdzJNg1FdB6wRcZEDwvwM3c MFbmEYXTAuM8O51jBFUrnoJfyyLvVH4InBRoQDcUVyhHOumZlTCade9OVKCyAPFDQwD0ocXH 99Dgwnqiy+D50t2INB1CRkQ7JBSY3anS2HGF3H6gDuayggXJzA0NEYOYAsx7ymuKpimPE6De OtX1Gl5eMINvd7atzseH0EWUoO8CT91dkIYwGmFo24GfE+d3isNCf+vsIxuxhn56Vzrr7Fta D3CNrYmWRQOoDZYAuhnhSCDUHbI3TgxCRjt8bqtSuOGvhySC3Yyuj94WoqA+hoF5OhkaegQd cg6ilu4itVhWrMgdqaZ9cxsIJ1LDOIM6j51AP+bKphEGdibiIR/LNgKW0o0UOyuUEPIN7oTq VLS/NEKtQ8eQMKWEb5n7NWBmKXNdi5VdGL0dsLRzCOdnlxNI1OVp6/3L58PL17vn+/2C/2f/ DIiRAXZMETMCMh6x0szgXe4GibC6dlNSCicy501pe7cEFL1sYJ+0dPMoumCJp0xFk8QVqJBz BJbANqol7z1y7HCRCV0gArFWQcQsvbOGwzS8JNfSbgDg5yKl8DCuqUrmogAIEIOyaGvIB7kL V0xDsCXdfNyab3katNHpSju809y3oApaQR9pPzdlDXFZwl3tACgNYdCa78Di8CLH1JDn7Gwy Lbo2mgJl78GsgJahY0oRvsciFOSFcFykAg+8qfweAdxCsUEUCsEDhAU3zHEz5EcVN42qAMMa 2H13ifQaARuFYA6mHiYw1mFu0LbCeFECuJN4B9sKsWCbxzyGZ//GzAmxrqRcB0TMscOzEctG NpGYV8O5YaTYhfrBZmF6GiwpbMWud9NTBsBsXVIoAoIBLOwA62BkTr6JSizBHBVfgp+oMlvu 6I6tZXW40LSIrQ74rFkIaKsbUHHOLBILaKXYgnyMZE1zCJj+C3FwrFTkYFZMZRhBEKQ0PDUd zIgNEnl/b+VUty9ZU4ZZUNrmmO7ZfYVYzIYzuU2I+SdnhclGRWlZY50j3HDbatO0M7RMNl4J YJyX5ima2hZshpns3BIQVV00S1G5Quk1DsZgbMasD9nvgm+F2UWMgcOrAcvJzcxAABHQWMD/ Sta7qA1yhyKxhXh4/XecaNMt95ylAl46TzQhJBMBKvWJcSzq84B0VvzkKCheTcFmwq4JNyxA xt3KCvNdcLiA1EJxtSoviMUKbK4wyAnlBowR3xoyWGsvriXyTDIoNMOnEkGeUawwX8m7ghTW fP5bvrZuQsBj9QYLW4A7oqqoZW7aDJawCw2OzDqOmqfo1h0wL7OmAIOPjgm8JCHhyHJR4NEp UMYXtzdiiak7gYppHXFaAA4Y6AVRL+D3GmvKkXGdgvDcIC5LZKiOTOyI1afyU+/6spYpQqoV vC5TLIKk6XiGgINi6UXNABr0nsdNS2DCa0QYeT4LQ2j4TVfzds/IaxsxPLJLCg9Z0Rdx1M02 DvhnmE/gzdFHG3D2xunkwrRZUtjdiqrPo7Ce2eCuNBQa2doiGN4ffr173T8sfrfA/9vL4fPj k00LO3ZTbroXn5o8sfXg00aZ/qH2YMaCnRVHRZ5B31gJdSYPa8Igz5UyChA1BhbX506AZLU0 Mmqvv5SpLQCBNV5dMEEEEEvNAHtZmwFZuPqiq3MHlVZU0IY51WBZm+pUTpIZiVBLlU7RihZo O4P5kDeV64vtFYcZIr5pjjZgaaoRZsRGtZqRZZ4SdlY38a6T9i572ItZ/XK437++Hl4Wx7++ 2SrE5/3d8e1l70SS/XUCR+JdHIVF/5wzQHncJuXcwyMiJrx7Doxh4hELsm4vwHTEolEkljVV zjw8IossF3FbBF4StDEz4XTAd/Iqw/sckSyHw2cHKGo9WRArx86RhGo/Aanztkw8S9i3ncqQ UhIRpNBY99/fxokZzB0g3I3QADiWDXcLE7BRDIGAl1bo2k68e2AZRC5+UtHa0npTDtMYy+qb sks55PGxhlcGaCSm8D1rUFUA15JIabzLI+X6k5edqXUafX2JgXv8ukGJtiCOVvv6ZLRC08uO wnRmdzfJ1kquXJbifJ5mRQ8jF3TWvqqh1tdgy22WXDelTzY6uI/ThRnBrT2srW78llJUomxK 8tY5BJzFzilqIQOdI4D4UjtmrCsKIublBXcjUxwH7KpdTAgHkABqFAPnHTUFF8QaN+qpuQmz JtTGywaDEfBFqZfpKkVseFYsmdqBJtrrf+OsXEJfC2qT3alk1I2Q3sUr23fFi9qdZMm2nsGs 6BoZYLfzf12Eeq/L6IuIVjon27dgUle6p9H7RD+e6ds3sgD1gmXO5MOI64SvJe30xYZCW0R8 gdwJGWlUXElMZWMFIFFyzStSXcTkEytb+lbV+isn+/n18Px4PLx4hXI3ndApUeWn5qYcitXF KXraX74c6+3lp6tZF3Z+BcB8xiz01yo6kQ3gtfgUD44BkICSgTGZ84tahXsH8iViyoW0j3Sh LsAS9WoH4CfLVGvCO7/2Vi7miaJksgxCgeq3ywTjvhCmIAAF2wwqlapd7d7NaAhTjPAc3Cq2 zW7t1SU4iFpMmJzxcGddz5ABruwK1Wc+4iMsYefFIjc0B3Kn/iGdjF1/lQsQrLujoij4EpSi 89wYTTX8+uzPh/3dw5nz36DMpwYbZ1KyqmExirNgvKhAxa0a08x+Pc3G0fYloNCau6rs7McW gHjJY6QN/INhWLhlIwdVE1o727o1csnNyrWFk7Gm00t87+4105LaabfeIy+b8OZpJkDjVBYZ uNsJgE9TVaRBO1Bh735Wgf65hR8cZiUNJrBixrsuAMvVhuZPhv/Sm6HdzJ4NoaXxJ0oBfepf covce3MHM6s6xnJCyy0Gkxi+O28pGzdxO6I6HQPN/T0KEhF7rytT15dn/xqwzel0UjSJxIob tvN8Q5SttMW8uSDYJtJxV/yCRaQlGJ2uORNQcw6k4KwK23xbBo+z1wMHmnfJDw2s4kxfD5dy bmspHXW/Tdx82u2HHGIf95W3eraW16sHXbTuSzBzITAcI1cKsQhlYe11d7xs4Bg4rHdQ+zQJ Odh8GzZSdOTGnxjSbPq0rdsHgK22l+U2sBd5wZYxT1JjNcyDNlQVp1rZfFxJWLlNIPzCSp1q 6rAm6GEUwN0bzETcOAC4NMqFdPCE6XFhxC2fbe+1sXchZzNsJG+YYUZo2DOf+yuoWfxGDm2M TVnOrEd7Zz2GFxAXRJt7B0G5bLx20e14x8lzL6KFR9j7uVqvLWDEQtfb9vzszDO5t+3Fx7N4 LfO2/XA2S4JxzqJvAJc/uljCyyuFNyk9S4bV21gwS1Xdrnzrc9u68g7vLsSrAVQkxlpTDEiD BRYImEFeITw/+/PchwKKI542vnsdMtKUWvMPjTw+9XLOaHgLFXLhLRf2JeMlw2FEe9yx/bMO rbVXTsZsHDhFDMRLlyG2/zbqd5ncYRAgpbsREFd0dyX23UPA2AV7J8cCwxM/mTKjPCCsIZYu BeCF51pkpp1cfyZAUMAU6+C6fG+X8AOnGPrtTICPEpzcpO7v9Vj4SvhGZEN+7vDH/mUB8c7d l/3X/fORMnSIgReHb/ihnpOl674pcqBW95HRmPIb9bIj6bUA/7erYhpQl60uOHdMR9/Spf9G C1zSnTeixQe6YWseJCLd1u4rmXNXQj36Mj5Bb7Sggo2TyjZ4GS0bSO7gmIfs9+HE6qd9M5qZ vYUfj6JLe5cA8xHxkWXt76pXlofnIRtPnxk4m3bzC8QUN+hYhlLKJDyZ9o+cY8ghnZI6ipf/ 1GsYmSU9puhdOS/xu8CuhINdavc7QGrprubYBVBMrZ1vMkeHlvbXEZbRpKcdy1+RfSMEybm2 4wckxTetBLOtRMZjH90hDxj2CSgjAksn00uYgbguZjUtuTHGQ+bYuIF3y6AtZ9V06fFqB9Eo Nac4SIEOZznm4dLgY9GA3H3V4A9bp6CDyVyfyRxFHc2tEc33G/E5sOUS0A7zMSCyYLBYujHu EO9P5pA22khQe52drNvZYckGNzUERFm4+JAWEcS5peJNQF3IIBmC+u9nKe18ZWVA1ybt/X4J 6afLrJwn4Tmv3FuE7kaUEGnLkJYsI8oF2L5Bs4i3a24QecqqiCKAQZlZzSd3pvp2/9pOhH3k XK784tBIgZ3kbF7diYeL6ufYqBw/xI2YaZNbWzA3qPMplWO7Bd5TBuGcuzPYnyX8HS1ia4LH /Rc+i/xl/++3/fP9X4vX+7snL1fZK7MTA/bqvZQb/DwQc+pmhhx+pjIQUfu9SLQn9OE59p65 q/03nXA3Ndv8P7pgCYMu6c8k+icdZJVBbFplf7sCoGGYNoGNp3tRGNAYEYN/3vY6GxSdyux+ xBiHXZg5S2fR8aMelzrDMqzLlb3PoewtHl4e/2MvCbsrsrs0l7O2UWEdOBUydGnad/cJva+a UmjLKnnTrj/5BMBhPAN8YOs+SlQy6Hhpq36lHLDx6293L/uHKRD2h7NubdgT8fC091XQ94d9 C+1qAaDetdceseSVFxiRx8FoTI98qWzqYuZzILuvyDapciRvr/2yFv8A07jYH+9//KdT5Ugd 84pOyObf/baytA8BZwgpsTGtkouzgttb7R6JIzrzUoKdpfYbADwpDyV1XLDIn3n0Ih8xaA/C dy0RtD5SJpW4KdMprfSZEH1a1ujbTn/PQsuuy0lXcDzxSrPtYGJZGjwDujblZ2bdrm2pxdyw syAFacr+RkMfh3Y/EeB1n03frKgwNzOw95UnNqB6Fpx+3WAqd8K/R4pNtYphSKIwLYIPLvrb uePcOtiE6hHqT7Z/ffzyfAPmYYHk9AB/6Ldv3w4vsLgusIb23w6vx8X94fn4cnh6gjB7tI4D C39++HZ4fD66FhOnA0EjFXemBUro9PrH4/H+t/jI/sbfYAkZUIiJ5qC623RO2tX+pIt/sRus MFOZv7llKma+rANWGDIy7R/u714eFr++PD58ce/+7LAK7w5ODa2MX5mwRAgsZexGjqUaZ+5d i9QrkbifosECM+HJadfUGi1+ujiPDN4zYL2H8Dd+lPvhbDpCpwhq25ptSxnvU6NhRbFaCr+a PlBn9G58VVNiys6F9T0tXZWsmjaXOKM2zfim91rq7tvjg5ALbaVqFKXpznz8aRt5Ua3bbaQd +a8+xfmXvLqYUtSWKB8Cz73T+eBi+Z/7+7fj3a9Pe/oRqgUV64+vi/cL/vXt6S7w1HiXsDR4 6dZJLxe5X7DvmHSqRO1ZRRuGwDFHRbHrVoqZiz/4kjBHO/pm9uFirNHPAKOt+/M69tJt+Ez3 HBosW2MetvQLrvYnQyY97U2bDYmerB3tr/h0fGgrRLUGMKJ1l3ykc6j2xz8OL78j5pvgIwCi a+7dFcNnUBzm5iUrsXU3G5+JJbYZufvdJT7RTz0FTbpJQN0Kke4Cgq1Ter9uhZdpd5MGh9NB UTx+/tCOP/SDJYiSqVhGBUetDQDOgmktcv991Lde7ciUAPYta/8Lcm6GjzLcV9rGIfMYCz2N /22iKcG3zeSrEyWyZZy0gU7tp7OL85h7znjqCYt9bunqjXs7tUi9B0echVsbgofuQpsTfhvm Ji1RYFkNWNdvFnWWealiasCbICyueNuLj9H2gtWxn8GpV9IudHwB5xy35ePlnFRMv9Dv15A6 CbCswi+atMTfVnJsERwXw7r2JtbW/xknVh5Adghd1jF+zPi9/NwX/b3yz6hlWReTD9exrV1q OcNOIhL8uIj93j3mz1fuPUDlmiqV06+EuNdYtv7vKHQ/AUA6qGa+z3V4rI7GTo0EG3+0Qu9a /9vi5JfCNyF5AYGnLTX4ZnJx3L8eg5v1K1Yqls3NjMWcQuL/Ygp+IMuzWPopwV8GCXghTIwB EaDEvvx0miH2ymKn47J41w8T4yS6bbz59LY/Hg5HQBf/x9izNDeO4/xXXHv4aubQ39iynciH PsiyZLOjV4uyrfTF5e3O7KQ2r0oyOz3/fgGSkggKjPfQDwPgUyQIgAB495/773djIQPKdG6c A6Ru6O9dLNbNXq6djnbg0zrmlB+bQtc4Kix930ET7KOaUzFN6TgPpvN21NFUd5QAD7tYOO3n 9YGzFQEmanZzcpUsG9C18pNycOK+eipggBjoMDR7FJiozrblHzGyiwpACkTTuMTpFpmcFeNQ ZAqgrrXQgWxMizw6yUpMYniMakzvRzdkRxYnGK1qwqZPZbHnlqVVqTauVXxlH/G2nkifLVGG HhAbjs0Pfas30TiPZ4/GmbK7kYm1QnDcLoqdGewg6tagjhlEHaNXE35msko5PKjOHzSKlL2z 1FCjn+rzPx7vn97eX+8e/sG0CwIKxwB6PLIWpvqBCbBVys69x3HGHxPrm360h33UCxCiVNiY yjGksn9YytlRAJTTpNIbYfN0/dsZkQGKoto3I+i2sv2j8RhYVe5v5fxG9U2D8LpwRcLSWfDX 2GyloFAP7DtPDSfCg4qUSAjwE072rQCJijv2AFtQbmVAJ5cdEoIdYy4p7s6vk/T+7gHTSDw+ /vl0/11papNfoMSv5kwgxgusKd1wl/2IqYrlfE7GpUEn52wYECJgs7ABHvkvrQoho4nTUGHn xEIoJtqybaUDbExbtBU7oxr8QRflPD3WxdJpRQNpM5WMMPCaLj+RUmeWY7MvnHC+4VIL0/ah 3yHn44chIUk2lvlg/aGYyO7NW+WAYiiGfulwVkyz8mUQljZaNthQK5lKgnr/3YAnpatt7nUS ETcmgoDRuW1npS+C/jR5RVlTBzvlGILAXbw1UbGJsnHgg2ooFXWu7jpV/jTudAbRsIyIub8v IwoTY2mZKVpgjT2F1fe+Hp14oB933yOW4JRGWbaOYj4AAC24R6VjfWi10Hx4U4uDJz2YIUgO NRuHqdFKYNSVwIGcl9Q6Lm+lFXbGtmJFRxn3T64xmwqN0k4KURAFiNui/k23k4HJyr6ANsA8 t9l+V9pOuYn2FZVaeYPZ7FL6kRCZgpqqT0BeBVexsjQQob+9YXimFLj30TvAMcBaJinY+J6U BXljGcThB17iq8gZEDdtQ7yN0rdC6HamPd8/2dG4bhUq64vyPfTcV41LYAS56zpAyDt/O0XO D+pUptwQovq6B2sD9fn1/V4dSi/n1zeL/+zhxyTX2Z9VJqTm9fz0pk2Nk+z8t2N2V02Wla83 2KZAwRfDKCLZDJGydZT/Vpf5b+nD+e2Pyfc/7l84q74adcrdayDmS7JJYmehIxz2gptC11Sk DAQ6Yp0KagZdlOi97v8AQLIGnnfbJCeX0CHLLDKupW1S5knD+jwhiU42UNyAJLdpdqcZHYmD DT7ELtzmHXzoHa7bCT5Ii6GcBx/MjJiNP4sIuDkSvNGpR/t7XjYffRulemvdxl0eOYgEmzEc DsNoDDUOAvaGjnIHQNNpqb24lk42ALXi8/PLi+VTgKZ+vS3O3zGkfLQrdM4ZnHk0pXo34O6W +qtbwJGp3MZ1/tQh9ae2SbKk+MwicCWohfA54NC2cySFoyu4BEWZWnMcmm2CkbWe8cIHvL5q 9axbYBHvxsBEroMRML4Jp4sxrYzXAcZQqGSppGcgEr7fPXi6ky0W023r9EU5KhwwSU7tTEQW NXoFqa8t7x5+/4S3nuf7p7sfE6Dw2pNU6TxeLmejiVNQzEuYCj6Lh0XlU8/UDGS6a85nAaCP hTUbdzugm3tTNuiujwqrHcpksEmtkl0gdhaERlC+f/v3p/LpU4y7YSQ1Wy1uynhrKUprlbyl APEr/zxbjKHNEDimPiQm/EriePSBDfwkc05l6Ui8xaBB35TmI7ezvuQmwaxxbKUa5d7Ue6g2 DVO5UeLHVZdq+8IM+cT6nlJdSnP9FvKmLGieeAapz+f+Yud/o93UaNubXibFqCd+6gbK9bo5 1qLhVL+BHBbU6PhUmDhKPyyJf5E0+D3GyqxKj6wiQfzoXMgqGPfk//S/waSK88nj3ePz698+ eUkX8O10if6/PpH4tF8L2mUAnI6ZSm8kdxgg5+xZRbBO1uYeIJi6OExWMjqAELHN9ondmjoV +q4Cn98XovE83gFYk8TPLt+vEAZGfbwATnSXMqW3wShEO/TK6cYpYy60CAzd4scv7lje/FWM UjG1uPoAp4p6gRko6LmCtWINxUCVTkuuLKCUm5bnBqAj23qu+Tt81Ibh9erqgz4A+7ZSZFRF RX70Rk56z169Pr8/f39+sK/Xi8pEUGgx6f7tu6UOdspgUoD6jIEvcp4dpoHtt71ZBsv2tKls v3ILaHTgQQ3d5/mtx09LrPNTJG0nu11UNLasILfomxVbI29Emjs3EAp03bbksBaxXM0DuZjO 2IkH5TkrJWb8Qd9V1wgwXLOBVp550vNWG7kKp0HEpuYVMgtW06l1fGpIMLUGZ2a5AcxyySDW u9n1NYlL6zCq8dWUs0nv8vhqvrR0mI2cXYVEITgYWxNq1B4/crzu0s5fp1RGq0XIxzdKR15h vdBGbwYNJoUA1/aIRycJnDv55K33ies+moKfoiYgp4gB6yggZkYMPo/aq/DaMoQa+Goet1cj KMjbp3C1qxJpyZvx+no27VbfMAoF9driBywsdrnPe3VZvxhy9/P8NhF4ffLno8qXbByH39FQ gOOfPIC8OvkBG/X+Bf9rH1AN6lKctdHawGZHqmLRw/vd63mSVtto8vv96+Nf6IT44/mvp4fn 84+JfqVqmO8IvUUi1F3sFCRdHK5gQCc7McMAbVoLbFbfIY97LiSeUOaH80dZp7Qwar9YpepR z8D18yZjkVLqYVECyrViKfyhrNgGAG5XPfRmhy6YPbWDjNEjkSJVp7z0zy99OjP5fn6/Ax21 D5z8JS5l/qtrvcYOj8eH0PEnP+DrTyBHFvT5vOPXxP09JAdL6lrlDo3xmL21b7ySeOfxLWgz FebrRUbpvrPPOoYsQsY/HKWzYW6S4StL0WlpI3aAyJP2uLe+PcB8T1QopHFLYQnSvXQc6vQ3 TJJkMpuvFpNf0vvXuyP8+XXcnVTUCd6YEwu9gpzKnS3+9OCilJZkk+NdJjqbmumjvnXGVO3e nsT86xMgJREJTP8GIWJKDskOPF1yl9AGW0fHUUWxk59BdyVfTX/+9MFtg3dXswA+y9EHU3JQ OggjTBInNTNlo0+H95gWK+UiTPCms2l4M7FCShXR6QmkQYKdtEahIP2NbbedMHKQfJF84178 HuC8hN04j6mN6wAnZMKbGprbaleyDqBWfdEmqpqEBolqkDJK4WK8UME2oedd0szmM070sAtl UYzqYEwUR5mBmsvmeCdFm6R0Ak+TQvACtDmiGja3il1pHn2zDQMERTgI/Axnsxl+Mo9kA2Xn vIM5pohqt2ueOXZIc30Zsxe2Vre+7kEYFjSy9KvH4dcuZzuH2HBcgiUNcGwyzziajBebEeEZ HWB8n4hfvXbf9nAOsTmzFK/ZJE6cG7BK7vSwatTPu9GdtF7wBvB1nON1n8dRu2j5OYp9S7IR 27KYeyvjJ0NHn7vSsF2QE/PogGMnQnhd+KbUlImjg9iTKWp2+wLvfgt83JB/Q8kmOVwmWW89 vMuiqT00mfi6F45zHTOKXZJJaoAzoFPDr+Ieza+HAU3HxzQtZEwa9vKpuD3hg0r8Ta2z9sbt bCj/RkyzzwTr4WKVMl4TQ0NZwMs9Er6FJ5DMqg8jDhLidr9Ogot9T74Z6+UwSQpyKip8U7qA 4yXXmfov1tRGNE1I4LG6HNrthaHsSId21YzN0WMX2EdHW+OxUKMEoglfG4ItoUb9TNzfp93R vmwW2zX5AWjnpUgAenahgMOGs0zgGWRVqo+kUbUKvIn5yDuxmF6YYBEGy5aslS/5hSJ5VB8S mvw7P+Q+31p54wk9kDe33HWp3RC0EhUl6V2etYtTwttCFM4VtG3s8kOsPH6ITo8Xeitix6Pz RobhwvMGMaCWM6iWd9C6kd+gaOvedQz6TxJlxQXJrohA2MqpI5oG8ae8DOdhcGF3wX/rsijz hN1g4Xw1pewvuPFc19h1HuDoINKTfvPWkevGBcsbmkGs2bFJ61RsgI5NGofg7UDeBCbHzsht gv5Sqbggx33Nyq0gbP9rFs3blj8qv2ZeeeRr5tkp0FibFCdvOTYMxe7hPsrwwo30MY6ugY/5 vTy/Qgk4SSK+zTq/eApgxHCT0FcWGt7HJASdPfajmpJnLXU4u1pd6kSRyEiyy7XekK9WX00X F5Z/jVE0NVuZjHI4nInjrlSs+eIylomd3cBGiIzm9ZHxKpjOOQsAKUVUB/i58uS8A9RsdWHE mNS0TuEP9d5L+VUh0Z8X19qFLSNzSaY+qUQ88/USaFezmUcaR+TiEteSjUp9TEbQ5LC0/4eP s3fyuVbVbZ5EnjcdYQEkvJk9xrijwsN5BefwbnWiSXb7hvA6DblQipbATBpwwkUZz2OajI1F suo7UCYNP0/1TnhCDhGLYSIx/ziUVe1RfHNi7zTkdFz6lkRPML8kDcrboqwkTfS5OcanNts6 nK07ejYbMm2bJG25c1bepI77v1wbsXGQGXRs98H3Tq7C+5w4q92tY3kdULxCUVU0m15V4Wvb nryZiIWxuSkQEaxjTz1l8qoaFVB5oj2u4YAvdaiqBRjVELm5AwkWkV7Dn+QnQ2Y7wmHwmkw5 sY/Nj8OycraAvuJ6UlHox3sMLPllHA/96+T9GajvJu9/dFSM7fLIbq50/0U0cn+i1mIhN4xl ++nlz3evgd0JWVE/neAWDUtTzCBJQ8U0BmMedbYAAtZ5tm+IJ4PG5FFTi9ZgehfaB0wseY9P iP5+JjfVplC5lwnTTAfH0IZ968VKkLBBEGo/z6bB4mOa28/XVyEl+VLeMk0nBxaog3Csufc5 YOkCN8ntunTyZ3SwU7ThF7dFUC2XIe/W6RBx8s5A0tys+S58bWbTa56bWjTB7OoCzcZECtdX IR9h3VNmN9CXj0nQHesyhVqaHmfynrCJo6uFx1HXJgoXswvTrNf1hbHl4TzgLYeEZn6BBrjF 9Xy5ukAU8+xqIKjqWcAb0HqaIjk2Hg+CnqasEvXIxYXmjKR7gagpj9Ex4nn2QLUvLi4SdM3j zX/Dd82DU1Pu4x1APqZsm4vtxVEF0uaFBcCHIFucyLo/KlVuXhkwIJDG7HD3Ab6+3XBg1DTh Xzvt64CEYzKqGhGzFfZIEJlpav6eJL6tjBfZIKH0SJWffZSqiCFM4BDF2yRmeqzeJGiKo28v 9i2pD0kTVw3YFF+Jcetn6A65+v/HveBmQvuYuVCdkwJ7Nu4WrIXl6nrhbSq+jarIrRCnyfXA ohhPpKBDxI7hINu2jaJx3S7DpSPvlwiJjnKRTvBlf7RKTInu3RQqO6oloujfSiyL4iSOyKll I0XVJLwt3KLaNjF/kFg0u6gAKYxnWxbZzRp+MMOwSKpkG8m9ZHqsFw9IeyB18zzLzAauJC2o fEDl5hwyyDoXi5FrkwI6K4YiYaX4Kktt97cOogZTOvBgYzyWXHo7At5AAhcyn44gCxeyHEOW nRy2O7/+UH5Q4rdyggIwcYSsHb8F1/nUoVA/TyKcLgIXCH+7yaQ1Im7CIL6ecTqnJgBh2RHA DDxGtu0tBoqePh+cYnV0ZL+nxpob9Y8qBlxOknqbknV8YhuMqrVTnUOg5TG2xb0zwdsoT9xp 7GCnQoIoy1TSE2SLcU14rzWb3swYTJqHymFG61x/nF/P398xX57rL9uo94AHKwVnwsQUVavw VDX2axUmc7kPaB40C5ZXdMYi9YqADimuecGjKL+VPpP8aSt5c5JODC95nRv0Gf2Yk2XFONzk 1DJlIm1e788P47Aa03X1zEtse2MYRBhQL9geCC2BEKGCP61wQ4ZO+0W7c6VQKd7TceOyiQAk S/J0lN0J8sao3art3WUjzI0lgylqZSK3HluysTU+MpknPQk7oO6hUO++6ggjlW72dPDa5Mk0 SY8R0p4IP//oR9AEYchauCyijOSJtzG5GLG7HlW2Hu8+TYTBBczLqTqVxPPTJ6wEIGqFKp+w wezhVoUTlvExLYaCOqJbQGslubV+8Ww+g5ZxXLT8pUVPMbsS8tqjTBgiw8a/NNH20nc3pJfI WjTGtcCmL1LCQfARuq78ZwGgYQXCyrjUBvyC3YUvTIitiMuMjcExtGi/WVPJysLETZ0hB/c6 3wAOs4AVDS8wKpQnpUFVOelVLEs2egh2y4QTcKtcoHS5yWjsv4JXEfrNqNwRvqLaQqyzF6Uk ubdCSzGqFNMM8nIjYrlHRUiXMGdxmVrBqLujeciHAek3CERJngccsCOfigHFP8s64J37BBuB M/5h2cbO+FwcnAjNer664sVv1ONgEfL7Oj/yrqP4OKw1dnwq1rw4OHS+A36YWxoWyVa/IKYm ldMy4q0Z27CoESQ4V0yDUXpg1OR2WhEbJQBSOI6aNr7YH8qGvbFDqoLe1CFItcVvwHjbN+ep L67Xbn2HBrNk12XLG2+6vspmPv9WBSM1pyNLMuc9Z9hYrgAKrDG75SIOsM6xWT1w39HA+eqe dbD2KUCVXci8aT/sx6DLy8ptRkTi2xnE/AzAXFnAddTXnw/v9y8Pdz9BmMUuqlBgrp/Aytda Oocqsywp7AcRTaVODqsBqhskvUZE1sSL+ZSLdesoqjhaLRczrrBG/fyosCiQo3OFYYI9BTcJ LeoUzLM2ruhzhogyyXEwP4yn3s6O0i+G6OFfz6/37388vjnznG1L8uBlB6zilANGdqW9BovB LW9uJvEJdALg/nTiZExRJmbLOW+E7/FXc894FbaduxOFaQSWvBXdoNHl2osHdZrzTlAoaT93 piG5M42VEO2CggrlCxSwwJNcrMIlRUkBmuVqDLyaT92xomfEFS+aIfrgSX1ucMCvRkxEPag2 UqZUW3Eu7IXw9vfb+93j5J+Y4sfkvfjlEb77w9+Tu8d/3v34cfdj8puh+gSyMCbE+JVWGWOm //GO3iRSbAsVuEVlXgfJhWM7JL5QCrcmGuThYNfRLSirgj8vkDbJkwNnT0CcG6+PsJskrzLP UxjInf03GGqJxRGrdVCiNvK4rSG2vpmP2KUUuSf3PiC1PP65T23+fvf6BDoNoH7TO/784/zy Tna6PZeiRGPvntqKFSYrePlcjUGHI3u61AUrZ2gic+uty3XZpPtv306lV9AEsiYqJUi27EUI okVxS/Pr6Z0DjLi7KVXzUb7/oQ83MxnWnqATMfB2e+Iz59mNHmjiQ73d14GeXofPgQT5+AUS nxOHrLhFRBONkZgk+EEkCW33lMI6D/qYQwV+uMdQVJJwGKpAsYJpuKLZVeHnOBhWn0WV7Krm tG4sGGfq2cCbkSTLUWUb3pRtkYxTAQw4wwb6rv0LcwWe359fx4doU0HHn7//20UYNw7jVYNO Cr7k7LY/x/nHD5UsDHarqvXt/634/F4G0S3fPzkfydB1CeoM/Uklo7afPBFFbrs8WPQo0aT7 InbsaFgT/I8tQhF6dTKCVtcZR0cb4fO4CuZyyplqOxIJc2Yb4np4O1tO2zG8irI8klxnuKPC IQHtqa5vDyI5jiseqaJ9vaBa8ApOX21UFGWRRTfMODZJcUjqhupP/cdUOZmw4IfTmCVHIdf7 mn1cp5uvfVELmag7VuvTwtInLypiIihy6Cuhn761aQphMgeakEavB6Y8Pr4hHZhZVQ5UuSxM BwVFp2R5PL+8gMii7hdHzFuVu160rZNNUfdc2bTIJYEC55uKO7w0sq2C6WpUZnN0svtTNNp4 fTWmDf4znU35ObClJYKumbkU9JJYwbLboh3dnpNpBc11X43K4fvB7MpV2EMbLpdO61TYqIAF fjIfB2/NPvhA6fUsDFt3LE147S4VW47vIPPZzC16lLOreBHaUq9q/e7nC7BfR6HRn3XsBUXR di4VazG6H01Bg3Y0mQbuyXGir7ZQa527QzFQmgfHYNKQvJajJ6RjfbT9phJxENLrQ72J0s14 bsjKjlZT9aWdBe8IgDbuS1R8OzV2Zn0F1tLzeH1W89WCd1Yy+PB6zt0S9Njl1bh/mtX7a63j ZbMMORXVzJe8Wk7DK2YiARHMvCtF4VezgC0YLq65C1yNP2YYBOCu5J2Q+GxMXNo5jzQqD+ez 8ZdGsOcN+g6/Wi3GYhfoHJf2yFgDt9HrJmzd1ZjD0Vi6e1aldUL/49mVg6k38TxgxiTLTXQQ GfPMIAj5l7o9iP1Mz4/9ze3s01/3xjqSn0H3tTfCcWYyqSoPvdIa5YDZyGCxmvowYcBjZsec Q9hSp+mYfDj/5472Sesa6r1hUomGS2I278HYm+nShwi9CJUqF9M7eyhmxKBDC3N2PEIReAuH U97MRIqzcSmUwt+7+fy/jF1Jcxw5rv4rOr6JmInJpXKpgw+5VmUrN+VSVfIlQy3J3YpnSw7Z njf97x9A5sIFLPXBS+EDSSRXkASBKTHcRcl81JgXOQLfousmCI2ATQNhZknei3isx+hEHcVz rMt6+SWDQDbZXqks+F/mgvQviqMcEmcv+owSwS0lKYCuS1xhW2+JKJuhjDlvlsODzMlIbI2S 2Zb3NHWNerBgaaQGYF9UsShNlrjpGwhLe7h3PDUNn54nHDGycjUDprjOfP5Wc2MezRfamtUs yxSGbRX6pKevhSVKhnC/8wTjhAVRe65ID01020B3dHqZHUABPrk6IkUGx3ODAzaKSFw44zsn uMhPhRXIcDOjch3TO71IUHFsj/pShb7wsz3ARedX6fy32pRIDUPYXGewh4tG8bJkyQi6lB1I yoCCOFRNMMwxvFZbZC/6FjMgqmrhYP1ZtMpbAFS1nECny/uQLRt8td8R2QyJ63s2leJi77yA KCHNBuYFnrP4nk8mDgJ/T4jNvmcfiDW2QNArdrZ3vcIYD/lUUeRwPGMBgXxRonN44Z7oZH0V uzuiLrhmSqWYVdNA7zWsm/EJfEeM3G7wLJeouW6AGUNQFRYHAOJPUK8klZ4T5wPOo/w+ipvX PPyELSBl9zV7LUyDnS0tfhJCv6DYWCrbMrxHkHmoNpE5fFoGhKiHMBKHK9SyAOydnUUBQ3Cx DcDOpn07MuijDwUen7bQFDgMziMZROteK0+fBD4ZyXbhuA3RYQ2V/61tIXQ9f7R8pz1AbyLg 00ei6pg5G0EfLi3RNmnvO2Q1oF/MD/pTmpUljFaTvdbMxHbRV1kK7xa2WJSh9MKBxySWl+vi s/MTJz9QX5AHnht4lOK4cvTJsUrJtAPsRsYhGgy3WgvfofTs0GixtvI41kc8oIhQ7ogE3KHk 5IdIEa1gLkzH4ujbLm1APbdAXEXinkmgt9mFoEOpypy4NaZnkR0KL33Ujq+mlQ6+FupvyY78 dtAuOtshn6FvDj7rLDpkep58RfAMwJ4YV2iXYcse70XIsa/Nq4zDcehcHYMcO8c3yOH4xEhG DcG35AMhCbOvTd6MQ4woLQKyDiEgvu9+kKnv043HIMNpjcSzD64X4NoB1VxV0rqwHlJFD4nv UWrgmjSrc8eOq8TUxcvKdylqQFPJFgH6tQ8DmGiLsgrJoYWvHq9mFlI9rKIGW1mRnR8WcJJK fjHslV1Sj2HQ7tqyyTkIadskDFxqPCCwc4gvqYeEnxAV/dB0BJ4M0OFdSk6EguDagAYO2CIS dYLA3tpRcuaht5c6ZFsZr7CXROfqw9m9Pw729fUVOK7qKoC7/6XqAYDkakLV7mdd9KvMDlyi UbIqsXcW0WsAcGyLbA2A/LND2jitglR9sgsqYlZcEKr/cix294SgoBl4Pmyb1ZAZEk51Owa4 PgEMQx/QCwjoUDAZXlVXE9sJ09AmJoUINDXLJhoBgCB0QlLHhSoNr/aJoo74bR9Bl48jBMR1 PtAYh4R8srnCxyrxyBluqFrYfVxLigxk92EIdYIpMOwsousgnV5B0M9K0o4faDPA5Yd+RGYw 2HRk240hdFyy7HPoBqFNneiLHHub2AIwwDEBZOUx5PrsAixlEHqGMOcyl19Tl/ECDwypI6Hm cyQjIe0ySES8a9rhBU83P/11zYxwHTBoh6wcZ207q1vLFnexbNURnzPPBLS666BMfL02H/Ti Hiq6nyoh0MzCrCgfC1mMZ7XQMLQMvoWdhq4QrVwWfAlXfGhOMA1l7XQuesl+i2LMo6LjMRbJ hqWSsJiYfWuKuUglmc/3efBC8pXKkkqWSf9I9eMIOI7qA/uLhjfxqbr5QNrtBKwdlzTU6Rda y+s9JM1OeZfdCYBWPvoXjQwOju+arrjTc+WhAZjQSRmJYeQ50jfJlA4wdTd9rhquSgxbzttY AQ53Z13QZOv9G/WecWbQxWKDafksKXo2T+KbviTGWOoY6cD0pcmRqkHmVA/t/yacsdH5tsEM VbztMDfh8tRnK32haA/EV6BuztF9M9IvVFYu/p5pYpc5WY0jmry5XdgX+yHWJueHn49/Pr39 obvM2SbGJh/Ih0orBz+s+ZjHd689eOK37VstKdfwi/jsuXhRF0MSGRxybjuxK6Wd0wi+KpWd mfGbpmup+GUTJeX8ku9qJXwuig5vLK8yza65r4mRnonu1NXe4NshKRzuid3LB9J12TBeKzVK 7kaMsKDUGouPhm4+EKCSlUWFrx/mdAI1AA1UpmZxMiVuuJOp7BwvzGRi36LPOdANRUcBMQaV GtrEIWshG7vmiqBFHECGytfhGVdP3jtGOUzqkkiF71pW1sdaHhnuCQyFwgcouSBldWnYypa2 eNZlO7maIgxkyrElK4BbFKmSbHcRLSBTzd45Jk1a0GoX7Cn0amL7ads1Zl2fJpPfD98yVg4s ikq3wc3XYsSmI24QB2tVrAWg3m2Sa1EeDQIAHAaBUt1A3GtEdE37WZEIemPWwmbQJUbrFsdH SlMXe8u9qLQksHBgy58F09wUObYq+WKd9K/fH348P20TPEbWkeZ1dHSRXJ0hh3aLJjT28Yc5 Ag+do7zUtO/PP1++Pb/9+nlzeIPV5vVNdcA3T/UtzEhFlcECiGoU1RfRw0vT90VcbtFt3l5f Hn/c9C9fXx7fXm/ih8f//f714VWIwNSLDx1YFknB4vwIWW2r34YbBOjTormafGGgdzrIUJT0 m2MEF2sLKcUcC8hgpxInVSRKI5DlXxOXOylI2SUOUviNoyfdOTN8llV5eiRC6N9zSir6wEpi NDmh40zk+wj2LPPLr9dHFh3cGJw2TxVVFim6EQij9m5gy0FsZ6pDv/FhyiezmCWvHVjqaHDC wKJkwBe8U15mFyXyxgYey8TgtRB5mM8ry+DYgDGkey+wqzM1wlghipnGRtO8YmEtdvjUyOAh FCsCNUHXLA1TJh2TR62FwVOLZfolGdJ7AV35C1RjFUYra0fNuEps12wvgxzHwt/BPNxKoT6P A77c6otEOiBBKmRkehSHufGF4W6Mutv1XR1RcNkms/W6QOhlc/ZtN4ayUcqHxIAbpXNizmBK joAbKoGzys5HZLry8EEBJXcviDGj6KRqpJBOCKxm0QKNGXRZFkX0CKKvdmfBlEZufGYl49AX ThtDSBlsbrB8SLbSwx11/TLD4d4KNBnRbo4g7inOfagQB9/VGJedkkyWHv4JdNwgqF/SJrkH Y8v0JYSFMiMPvRYwQYJlA5s1ifRGkVG5WbqW/21IHt4yjO+T1CR9llwJKYEMxS7wLx/wVB55 48Cw2/sQOpk2waDiSm2b4otnqQtCFLu2idgMrZb1ULWkX0XEmBGommIopqhyXe8yDX2i+MIV 2PgbBLkp0NwtVDodZFdWo0xbH5XNNDTDsi1P6iPcaMumxx0HA8p6k5W5PUXQqHuLoEomYAs1 5HY+yrewpxUkmb+p0LPW+hmjh4bH7CvDnvRcJ8AOURpQqRUZMJgbXfqOZTiXO8u1TDEP51cW hF5yLm0ncAmgrFzP1UbkkLheuL/y1RXt7hKno/nplKz5dMXnpo6MfhSZiFW4I73Oz6BrK205 HwDJPjVnuqorzEdBFO9+L3pGzA54AttIhsgr0RjhduPIiws6GmvKgdukEJmgF56R+2/qR9pb zcaM59XsuHplJ4TVV1QF8sXlacNQYw7FoSBDsjItYKnniguWgNTwT0siXGUmITYjksiiu+uI ouUKTbQonCQi6pUS4tikBAwhJcij2nM9uiTZZnijc93TjJw8l5Si6Mu9a3l0dwLQdwKbsizb mGCY+y5ZX7g4BKRMDHFoJAzkZ4AyRj5ok1noitPmZhkKyU5X8tnKIA7aYweUxrfx6KbZMubJ L+UkMPR3lHWUwuOTzaopjgrkkBXBIFkxUcCA0u8UHtncSwVpO2SJi2nKH7GBFktegcssDjko VRV4Q/SH7gKWj58N0ecEplMYWr5lyAHB8G9ksCcbtT1XdL7rDdUHlWZ+uynwrFqxDina+IYI Kq2Ggdbh2dAStOiL0ndVJmRyXLqnc31OfgenoqSKqDKZRuKiMH5Qt4zNdqmTB4WJq5mmLOgn sgqTpPYJy7/sYGsDdCsHGTNYUkpMyuPXhSXR3VonMIhpA/Uu4TcKpmguDEfPipTZdZWlRSTc hGynet+en14ebh7f3p8pzyc8XRJV6IdzTm64L0RGUDTKBhTe09/gRfeYA+hbf4u5i/DtLsEn f18q3vaoH4FxpY0ZnIo0Y8GLti7ASadd6ai0KD3pR8oc4opmVdQ45qP6QLYGY43H3FE0/41e ZVUjmpNsyKliNhDSRg/vGAj3P7PDCmxf/ayW1Ql6d1c6Rf/25Sdz2fb0/OXl9fnp5v3h6eWN vXnWvEtzh/WgCAsvE7nr+eS2y/UmQDGvtTW23+J5whg4vee9FCSrquTfeC+w+JMSJJtjO2BE ++rMbVaE2nh4fXz5+vXh/a/NGdnPX6/w7z+hmNcfb/ifF+cRfn1/+efNl/e315/Pr08//qFW Xz/GaXdibvb6rMySQe0oRTfvbbjtxi+syafnx7cnVtb39zeoTiyOOej59vJfwdtRl/Yr60I7 vTw9vxmomMODVICMP7/K1OTh2/P7w/y9QtMyMP/68ONPlcjzefkGYv/n+dvz688b9NK2wuzr /s2ZHt+ACz4NbwskJmjhG1bVMrl6+fH4/BVvmN7QIeDz1+8qR8/b5eYX3p5Brj/eHqdH/gm8 DdW2GcZa3JQJRHRe1op3OiI2pFHoSCccKih6v1BAG1DbiO5D0epbBKsBdk2GbC+JYzmhCfOk yL0ytjNiVbLb9SGz2WSVO7y9ff2BfqCgxZ+/vn2/eX3+v63bL01weH/4/ideC2r+OKODdGoG P/mpNHUiBxiP2CgQuGfcmcDPsw+DOJgOEfr71Aio8MKubuw/2YIfegT7czGg76SGOg9JRdcF 8AOm67aYUtEvGVLTFkb2RXdZyjD21rCqaOoEs0GOr6dl+LbqZ8+cOj2PN2iz9wEwj9EVNGmB JvGVTZRO0MbpOufRXw6rhSL1IasmdgdpEM2EnapPgq+beX65gclEGb+SmNwJbGCR7hkWhr4o bX8nl8b8YF5aNpD24UWtJlAQaB+8CEZVCr1ETcKpUNjVVFNS3BpS4iFQO1AHRQLTIeoG3jE2 g7EoaW/+h68GyVu7rAL/gB+vX17++PX+gNes2/Cac8O7H7lO6mY8ZZFwNDwTZuXEI8mLDegn l8iKuQ5YnCSKtb+3PbUWkIYBnY7XNcOVNYnaYeyyKes6g/3mykrUrM50OOk2G0/v3/79AuBN +vz7rz/+eHn9Q+uAmPSsyaByKP4ZVnp/nnJmWcbrsol/g2W/v8bIHWCnEZkbOU8wqGzOU5md YCpksS+YMy2qHC7HKS6j+nbKTpHoh4KN0kNWqeP2fMi1AcSpMN0kVyaZQxV55CYewTEttYFi MNhgk+4hOjjGzJKi68Z+ussqbdx2SdSh9d4xrUxD9+5Syt8cN8lRqb3Zzz2fGAR6G9XZam6b vvz4/vXhr5sWVJOv2mTGWKfylNI7so2FaxwGYTlLUddNia6erWD/OYkImabf0mIqByuwqsyS F/6NB/6O+gZ98J9OF9vKLXdX05xzWLup9zP3GDkfsIRRROcCq2M7lXe2ZXd2fxEfc2hMvbVz B7vMVKa4K9JDRiVcEakxiiXc5k38/vL0x7PWLnwbWlzgP5cgJOPZsuV6rGKmLaRRIpeOTTph cMBUX5ArDIJzLFp8VpS2FzRrOGRTHHrWyZ3ys6EsXLraoXZ3vlaNuHRNbR/6jtIIsAzCnyLk z8QloNhbjjaEYRdyLOKIXxMFPvXIkbEV05C3yhv/ZYmFrW3gGd74s6rtkvZAhW9G8Fj0Bfwl 3YWzKrv0GiGPZRK6z01l98ysJVjIIUN56PNxDeTANy7vsCe4+f3Xly+ggKTqflUsc9GSmM4k kGPQdzDoZybR6mYo8nuJlKaJ9JuZjp+yPtINTjFT+JMXZdlJu8QZSJr2HkSJNKCookMWl3Jw wBnrMHpscclKfP81xfdkNBjg6+97umQEyJIRMJXcdg1ubaHLD/hzrKuobTO8Ssyoqw786qbL ikMNwwk2ILVSZcNxo4vFxPAPB8ieCBwg2lBmBJPy5dIxCjZblsPiDxKLd0FM+07GWKkHmBu4 L1Kx4CpCgxryXAcF1/UnTAMJZh1almYoSlbL0PsPZB/+c/Ggr53gYDdgi6SUYVs5aotVDrR/ 3kzok7ipa+gGtOjJfZx1jrSuiFStw8NUIP+G+QraQu0xRdUPtBaQs9nXEMQWQRhMJizLqbUf R+pONivEpj0YsyFDwAo9wE6Z4Zo8F8AAkEO5rETjTfrGYbqr3jjoLtQVp0gjqJYKC1krRONY CzFxFcGO0s1w5GWh5Ylv5LGXRB1MMRjBrxbt6dhwkZ0XriTYdWPcjmKstAHGYYyweTcaZrWZ 6UCnpe0M8dvZNlGtMkb8KJGpXTioHQfjgBjubYe6keCYPHgwpp46dJC4PIwqE+pB0sJ00TKj pe1dpYjexXFt6gR9dIJlwDA2Cnnmgd+Tq0wejCY+kMZRrY2dE7sNwPUJl5ckNwxGZLvM4WWK GOYapQrrrIFFq5Anpdv7Tp7n3VTe+8wk2FwnhiA/C4exf5yaJm0aW/7KAdQ2tbIHUGcVI3Wp uTsqCiCbwl11tFVcQ5GUAk4FzSiqcCdIvoEUeZKxH8QYWNhgVZ+Mudyb+L5OmBli2Ahehp2n NPZsQCMP9QzGY91UsjZVxVA5yqw609gdwSFVZ7UFNbZB3DVR2h+zTO7v0dhMt/beupBUi6Sq y4dx84ZYDwuEaCvA6jAQrxjXgYhDWNcNkZiUUd/Pt3di4YhRwTu0nJUMNFxzbS4IpVmaCdmK szrZazfe9nxdRM10YoOYyy0KaKtwv7Oncyl61drgPoJ9ZUQhql2aUFbahqHseVKCAhLSDZ6F ZKoJlVS3vmuREjJoTyJt6MmGnBIWkA7DhUrRzAk2jHLWt36GYtQldB7JbEoQ5uQ5VlC2FBan vm0F9EeA3nhJakpnB22wR8dfW47sGo3WnvH4RxhGzaGRf6EHKoyQBdMPCTDVUxptG5aU4+A4 pL+MZqxFNw74c2r6Xg24KdHxERYM0UJ08yXlUqc8Qp5MahM5wXQ8p1krk/rsThv3SO+icwXa pEwEefAiQSZWsIfsENIKn4nb9exGhmlpPBS1wfHEzGcOlcI+pjMFBUQ0va8jfC7BbtIV0fDW B6amtP/kOnKe8+w6NSXsSOlYNCgbKBlTrn3aCe31+4zQQQxsauBNUXz5+HglLakVqIqm/hCP uda2Ix4hd0STj1V1b+DW2xJTYG/gcTlpTKfCeq4DVTvuLJsFWlXrr2lLlx3JQGJj7QHTjmIS a4Nf/CtVpH9wVDaNMhpokYc2Oqmk3t+p8i+xdW3fo32XrJ+vDQroc1VUOxc6CCcfD1Jv5AGN 0n+xSyDhVSWOC3QF3WXMygN0j8/ZJ38n54W2GLR4OWjR56JTutdCnaTAKqxWtXmjueRnmVL0 8i5izbHpbrUxFGdxQ4ckkQRB2x+LdB0tsQ1Rn0SV4WOqRn5Is4C5yQcKa2PyiSUiF9mGDVcX WG4z0ArTQo98dyxS/Rr8qHilLdLN6/TQZfVhoJUoYOwMke9HLEgXGLPedDpuIPH9+REjR2MC 7awI+aMdPtsX1k+kJck4NKP84o0D3Ug1D8NkdW0lFZ1C7OXIxow2Ys82ZBxn5W1Ra1WYDU07 kY7ZEeYRkuSSk2MBv1QirCNR0anZw2yfFrfZPbXpZMmY4YSSVevYcrQNRuU2R6Ymxj3XoWEx jwxFZWgHkMtFoVmRFKeY0RqF8Bk+QBXnkFVxQcafYGjeKbkem3LIpKtuTjFX/WHwQ1dpdBCE 7FC396avHhO8q0nkbM5RKb1YYMXdd8wEQqYWiXTlyUhDphY/nIv6aDhM5mLXGNeLjpqFDGWi uKBixEwb8GVWNycyljOC8KH6IFyo+KOVDGlWhGwCRLuxisusjVJH6jkIHfY7SyOeYYdc6r2M nZtUzdhnKv0+h62l1pqgmXUN+rQxfCgo3TDtZcoIBNVzKMjeUQ+UrsaRrjio7LDcZpTmxcZz VKP/oLIRH14KRO3b/5+xJ2tuG2fyfX+Fap6Sqs2OSIk6dmseeElkxCsEJct5YSm2kqjGtvzJ 8k68v367AZAEwKbzPUzG6m6CII5Gd6OPIszgy3WztYBXLpaxGnoP1nb3A6MtARQXTXprEkPa XQk60TTZBKy6IWbVkPgmLy4SGIES74V7LBnkWBCoB3dGiRacgD5ROT73fbLcMyKB4QqeosH4 pbLZDQYMe6gVTKsNipnZUIVrGc7AkBmIbQbqiQEs09h85boMw8xlMXVxxdtJQcr9nN/KxjpB QoEPc8cq3uU9NpQXLCQzS3FsBCzI4MpVVG5ZJSr0dBgVKha09potyhN1wahoBcFde2fKTRyD QNXjm/sYNsdAK1/DMtfHuYH09tjX2wAkirx3tos8fnW0pWVGLjEkRd8HGCVgUgTj3sd9MayI 6VwBkhwU6N4rePlq6hW8vnbclnNFZ4SHUcyiAWruzQho+Yzy4jzyY/0aU8f3TIUINJOichds zOYVuayOfP0V6jBsRQ4WYi55E1kGPNAP6yy8acIImi/UnXNx6M/P6KBmOII3qQXRShOzyny3 rtAPzkZe0fdWEoe1yWBA4wG/oobKSzibZZW5tBQ6ZKNokV9j1QnMumNEDSBNSsoDiLnRougb SO177spspEUMJFfhixlroPtdDXQihRxvZTbfj8c4z4Ofv8dVFZGXRYgOJVrvO4eW6MAA41VX vXHg+KrC1cFA4P5d42SxbT43+61tjaPi3S/AajHWbP/ORyDFZGbL79AeXsH0wyveeTgnR6CB 6omNNEy/Jiait9bE7jfHkoVlvQOGT8h1VLlwZzNnOac+Krpx3/kgbE5PS9RAWZ8FIJjXdUqN Q71dijKJof9weFELU2utuD6dxZEzGbSLDdj9+HYIqIsCxFRpq81mcBb994gPWZWXeAd5f3xG Z3T0/Wc+i0ffXq8jL9kgs6pZMHo8vDV+6oeHl/Po23H0dDzeH+//Z4TFjdWWouPD8+j7+TJ6 xKCn09P3c/Mkfn78eEC3UTrYJQ18LZ4bYHHRC+IS0N27GxEIMOdT/7Hhq3veAT6HwUDpOM5n b3zq2JcoW18kCGn6IXz8D/c/jtc/g9fDwydgRUcYo/vj6HL81+vpchTMX5A0Jx1GDcBYH3m5 6XvjRMDWDUtoC+8MoWb3be7xuoGTgrEQBcMBY6z+Cjx3YlDlh0cGnfbiIKR9QRq2Mp/1y5Xi V/NvHdgNW8bmA+lt+LrjdkWyVf1o7ZltOE9N45kxawDSCwXxLRlsK9JkI7qwY6ExCzBajrGW edm0yiz4xhHv8Osm1sq/nfuzobXn3zYlI/UhD7jWOfDQqkKbdWIKRtzaFMBsJe6t2SCIHvC/ 3YDHD/+UIT5a4TUniD5e6WpVC3g/8xu3hBHrDQzy0sHTEMsLcma7ivfo+m60yQ2rqrkVobdA tzfm+ysfjL3dY+ZbXHye7Vj7ISknYiBzwR8TR039r2KmM7VmAh8hULVqGFsMW9Kc08UucnO2 CY2IP7cyjkWus/V0fd7AHo2Lg9OzDd11EkJ7Ax+0h3/E29pdVPx8ezndHR5GyeENZCdyGxWR 0uMsL0Rbfhjv9H6L6q2ervBVbrTLB8zurTyiXwvwttxgHfZjFHiXz/9wB9UH7OobD96r3p6P n3yKx1S3RQhT5TM6Rl0Ks1yWHejgNini2lNVte2Np/1AGUPrP4BuIlpfAFRsTRdjNSeR6vJb 3JR4fxRSwDb2rtOmMbIX75OIV0ELzRIUqgiP+BRBn/+GyIyPD/nbIY4FkZYxrQEZidQAXMZ+ Hsmv1JoX9DwrNzU3SpNJtaKFJqS58dhANjscgXiV1oxiW4j1vbmaJAVBOx4LrQ0/B289zUEL YVsW+SYkiOJZmScGJRru0RysKT68e9Lt3EhOiaiUvCBNw5RVsVrUt4G00oIM1gUJ7Y1dT3d/ U9uifWibMXcVYjnXbdqXadVWhteM2SYf85QRXfzMjZ9ZPVnsCWzpLPXkZC2iGz5iSFDtRoVU sdaiesr9ejSLcAutuWGWMgsjiVfi2ZLhsRzdIM/O1mFrssDc5j0myR9T/Fz0V4J+MZuQvowd 2lkYveeuReNeW8LjaKgpdIyZ2kZLZjoSDhRV6u1e+xI+mPQRaXSfFvFiTMc2JYCO2ZukcBy1 Po3xeZiilA6g6PB0ipYWTybhlNiFo580DZh2DGqwms9TN0xOf6olfDhPbEs1IxMKcbRMAobe PFtzUbeJwIwWSQcyjlLTf2nLLrC1SlDiY6uJoyeLFJYe38VsJsNfVCW+s7TIYCGxBs0ske1i dn6Zy7WfEpLDYzaxVsnEWvZHXaJs/f3GduVa67eH09PfH6yPXI4o195Ilip4xUr01DXw6ENn XP5obHgPZb3U6Gab1VAFYkhmr9eYVXvh0V2uLqcfP/osRlrczEXRGOIMNygNlwM/i/JqAJtW wQAmCkG68ECmHMATrtIa3ldDBDUMwUYaVGMO5QPJB+X0fEUl+WV0FSPTTVp2vH4/PVwxZppH AI8+4ABeDxdQtM0ZawcKtBUWh/q9ld5tnrXlnQUv6Qo3G9Ca0ScaU1pzX2tiX4SB64Pon6Nd l4FQrwgGHNWzYIdapB2nEQFebUENFdXzqefQdURGa3BcOHf0sDgOjRf2cj5QcVkQgFhEefxI pK0KTQIWTqw+dD9ZmHTOVK/IKaHG60w0nShLIOeaCFdWvu7VgwAs9DZbWIs+ppEnFFDkg/x2 SwMbz8I/Lte78R9dN5EE0FUe0esG8cN2LMRmOxCMemwDMKNTE9ypMA58Is6qlblKWji67KnD 3CKMmx21f+VOUy3wvgff3xOMGuK+D7CGoRCu5zlfQz3mosPtF6QHVEMQMOlZ3ntUYESVqt82 UPvAI7bl7VBDc9pnTSGZzcnEXJIguk0Xjpa/USJ6mQElHMuoLPVdoaAw8947b+sn4FMRy8Vg q2Qt04aiZI4/mdvUwzFLYKeTacU0CjV2t8HsAe5QjfKClDaZS06lGFPDyjEzcklxFJ2irhmK qVUtxsTocbhZHKPBel8mNqXHte/tJ/5rBnY4aZ6kYKALLMcu9fAqnRilk/vtwx4ik/wqBM7C 6n8wPkgtozCdjG1y05WYW3DSY1kMFP9BtsEDqtHrsGhLgCA9Wnv67IbYeqDzvLf1YL5tSy2E 2fUVvmLpkwta4PrMQ5Q8eThcQcZ8fJ8T+mnO+i8FTmEbeQA7zFBIuUrivLdOkA8tnHrlpnEy xMuA4Le8bEGmBe0I5vaC3LKImv6+feB4VDFRTiG+gDufg0JjjqDA8gOuQdOdoMtjdCT2dEwm G2wIzES8CpziN6zaWPPKpTnrdFGRaftVggnFrQHuLAk4S2f2lFy33pfpYvz+t5eF44/fX2e4 +N/jF2bgkAp3CMbZJknuvenrbfZFr1HKd9j56ROoE7/b+qsK/nqfs7FsR2zCNjtrf3BAcLR6 3UE1UaRW+12XFHcd1NGIngWp23mO9GB9aV7B7WjPCKDoJ3HAYIkwW2sZGhDW5u+O3CwLE70T Rt0MhKjVPNE0V7qw/NaBeo++YglI3al2OkmHHoDOaMlJEuRuhd3vD5MsWgUq0x4rDmgv5Mlo I2y8TtdpRSGUj7jBh30j8khC+2SaTTtiW/nmdqD9h9Px6arNvctuM7+u9rXxJeoUmhdgTXve dtX3E+LtrWLVfZzdcKgyF9t9d7cnYZiDTXe2DKbTuSrJbBhsl4X5m0dm/DX+NZkvDAQv/vqX 3b5g5a7x+JoqClMHq0sMSrPHyiSnODp+HA/EZUeVNduo+X4LmVVI/Ym5X0QHDXCZ8zFyuvcJ hLDj1iko5UZYdndvQ9o84/JL7d0WaDZO3QyeVUwsuG/6MTciO1KzPnanyxUzS/bZg8yiNFTc SqI9jGYhlRVJEGfF1qg3x+FpSgRfpKe7y/nl/P06it6ej5dPu9GP1+PLlcpfG90WYbkjuyZQ WKKjGBpMVrlruoDffjFTMpWaXM/FKKwbNTwRIVGgcZw4zHj+GZ2ObVmduIVwfu/2WZgkSFi7 5PS2aC1QlkNZmi80lxUOLb1KzcSy/RxXwBD6720wvMQxWZcSxLG8LlebOFFWd1SIcHoNgkE7 SaiaHxCofnzK4q4P3cKX+az6veOpABKJIDqHLsW9BhFYxDKNgMbYg9At3GC4ObSgbpBCP0s0 MMwrlQBIpxHZAF0fzWrCebm76u0T/q4nzfWXvD4aaIoH0pKLXKeL8moTYpHshIrSaepuR4Fb aC9rKjFmSU5lwOLLur8A+BtvdMdsXMZemlNe1bg+tAVThO4X83l0sa7ccngaRQlkcWepzJC8 xPSqbjUrbQpk5BaU6bFBGzseV1laELXA/Kji5ZYnK0qMkvJDVo3HY7ve6SZmgeQxPzvD9itQ O9jZw41Sk1ak/ZpNDYGXgvynxgvLhHDmpkr3qTkPovHc3VSlG5NrSbb1Rb295q499Trd7s1v LlVHFFlTDf3wfZHSSFkUO27QNonxM+OiB+bl2mRlaz3VINuWGEqIp/Gk9rYVHRskG99mcSWb N0YA/gsxC8YtufnSZP9ehgdEY6E70qFWtr8tvZyHRFPqM361qyX58KMyT8O2QWZiclYX6Cmp iGi8GuHG45En1GWJn2zQCxNO+M1WjdnCKs2Aw2hWkHTUBvnNKeIaAcM/Pz6en0AGPd/9LRJg /XO+/K3k826fIPLxIzRiAWWiUp5jsTNxtJtTHWlRWrNOMh8PPO4Hfjgf04msDLKlTRsRVDLG 8235FPdCvKwnNdCXbE/XD1BIhMHu/c81CmaomD2tDKgksU9arhSSna/ZWaIbVsRwevibnrgn FgU7v16ooqPQVrir8I7HmWhL0oNt00A7jYbX+izigfzzkbh/BL79G4K02tK2iJYCuAl9xSPz IoBwSVbuA2bpqfmyWikzjZRbyMJXNSapvWrPyYaaO46Oa8AUbKmEveIG5vh4vh4xMT1h/gsx QkhetQjq58eXHwRhAYq0YpvAn1yFM2Fcq11zd8PMrUADeYcAAK0NNfdHH9jby/X4OMqBafw8 PX8cveDF9/fTneLTI3ItPz6cfwCYnVXzBkd5l/Ph/u78SOFO/5XuKfiX18MDPGI+o5wa2T6u WenSvl5YBpSc94KrEasy/NLq5OKnVt65leE5Cgs6S4e6Os+CEFQ7TfzviEDTwTWE/q0DBOj0 y9zdALotdzbwNCiWYva0nve8q7qPNDNRhHs8yJsGwl9XLDstIxEIxz5BXruBX392dZbRo9kX NukZI/G6fCWBrQw2mS5nPSxV6LRDTSYOZQLuCJpipj2E7l4i4WalRwkuKywo5fbgLHUc1SVG ghvXVrXLWGOkpK71Y03iRPV9u1rp3h8dtPYpfzbEb3jWSS2rCYKl2wGKEk2zClb8qV7yKs/0 SHnlPYbLuyWxVRLWBLPpTwK4a1Fwibu748Pxcn48Xo2l5gb7ZDJ1BjKPealrqWYoL/UtZ2xq vypUL3YYuLb6eOBO9OyVAYi4wYBgIXDLYRxpP97sWaBY3vlPM43kZu9/3lhjiyxICyf7RHMN dedT9UJBAoyijgDUyq0BYKFlqQLA0nGsXjCNhJPOr4hRC6jymhd6lcu9P7MdWuJi1QYkSUpM QYzncnu/WB1PBzhEeIGM04/T9fCAfjrAk/prZW4vqa4CYrlUDmdZ+dtVM6oKRqXDfN8CSdDS gaLoNmxnHZpktqTrmFK2C5O8wGT1FehIZMb7aG/UYRf39jVdtzapfHuq1jjhAP3KjIOWtKcd ss4JGSQCmOVMTUCW+sVkql6rZ+52rrn7CdZoDgSXGXZ4NJixsm2ptzruP8HhOw2OdXwDf7yw FNhuNbPG+nx0lZ4lXModzw8gj6gVd34eH3mYgqxlo9RPqRL4jiKS9hV1/tlCn53Y/TJYPHn3 1SgOK654TvfNFQ/wPqlpKQHKaGVlrWVHKVfEWNE8SD3EKuMhGif3s9TyXp+uyogEcjddsXwR 32Lavmo3jzNWq4FgnVOVacLv6VS7eAaIs5xQq92HzunZ3ou80iHpzJ7oXsWwNB1rcD07C5vk Tn4xnasuBmLliFcJjyOYjfvXx8e3roKRdr5KyY5nvurN6gpj8o5Pd28j9vZ0/Xl8Of0funoG AfuzSJJ2yXHVaX18Ol4O1/Plz+D0cr2cvr3K+iLizv/n4eX4KQHC4/0oOZ+fRx+ghY+j7+0b XpQ3mFP34+1yfrk7Px9HL+aq9tK1pWVa5L+Nc6HYTsZaVWABME8kuajWt2VeT9x9TCmvcbWW rnpi3R8PD9efymZroJfrqDxcj6P0/HS66vtwFU6najQUinNjrQquhNjtW14fT/en61v/893U 1lLfBlGlsrcoQN6unAlRxWy1Cq34rQ9XBGqnnn0snsOJRx1hgLDbsYhhAVzRLfjxeHh5vYjq Xa/w+drx5aWxnCBKbkj3M6V3cbbDuZrxudItlAqCnMSEpbOAEU7Dpx8/r8Q4SrO6vsE/BzWb DDiVuAls4DFtpHCLgC0npH8lRy21FRtZc8f4rXIeP53YlupehACddwBkQnp6AWI2drRHZzNH aWtd2G4Bc+iOx1pKgZbpssRejsmKlzqJrflucJhlU2vmM3MtW89rVRbl2CH5W/OONn9se/qX jlrgAzbMVK9ElhcVTIBCUsBr7bEOY7EFOpbyu9pMJqqluPLZZGppSfw4aD5gl5HdreDzHVIA 4ZiF8iUAmDoTpU9b5lgLW1Gxd36WyG/rDuEwTWbjOe23tktm1qIfYJwefjwdr0L5IDbABlQ9 7UM5hBZq3c14uRzYF1INSd11L9m5cqCtYVuR9d5B8nfsqTIFcj/z9jhTplHoBdege/MRpb6z mE7M/vxHW5/0+eH4SxMHuMDC7wcka7t7OD31xo7jmhCE0afRy/XwdA8ixtNRb0lmIVX0QY1d 8VQG5baoGoIBXbdCizjmo6RVVeHWZeiczRH6fL4COz51umdzYDBL1OjrJgdkCliR1OItEvVU MpuGr9dZfZIWS8vwQhfSAJZtfL0Qx7nrFePZOFUMe15a2Lryi7+NE6swPqFILGtImwYkLD5V l2TOTJd/BWR4+QJ6Qotqckn2cvQ1I+hM1QjpCBS0mfIdXwsXOPusB1AFZn6APWHyCGMdFpfz r9MjSgno+nl/wsV4RwxxEgd4cxlXYb1T9BxWrlShhO2XWuA+ohdNH6rj4zMKe+QUpsl+OZ5Z SltVWozHM+P3XOWBt0wPN+MQm/J5ySrFeQZ+YM069UkExQHlRcAxaHLTny/ibF3keqowhFd5 Tl0o8kfCcqU3wuNk9Nv4XRrKYGjh3JKGspBU32KJpD7o2/5ejUlEaMUwBlqHrdxNqLV6Plzu qUZjpAZRwlGpe+bO5ni8Ua7v4IcZBYEg9FRbVQYdj2jUdp+AYvrmAX+djmD4UhJpePjfQtmp cfkF82soWhmWi8N8T+6+zsq/LGUjFpjdAyaA8m4MMWcC/KjKPEl0fixwbhXNaZuXwHthmcR0 okdBEKd7mkEINCbKi+n8xZKg8C2jpphBkYZsoIaewBcxq7CEGO2PIWhY7q+KgSwWkqJKJwP+ sAKPNxGDQ1zFXZif8SB6rr7TbhWuS7f2ipS6nlypMY/wg28JrXoqAuEg3MWu5mKB4JsSOV+/ jrVC0hVjFYw1uh2x128v/C6o2zFNzRQt6YPnp/Umz3jRa1tHwQ+81aztRZbyvBgDKHxSR/mw EQo9JB7B3KIkkmwMIsy3NP4Q8iXdlgRcuL/NcjbFxFaIprduR7e37H+HzrGdfnsKVQU4UAiU o4ZfE8EXq+oed85wC202U/1SQMzV8YKhBfzkexSqdz9dXqledVTRNgvQtJa0UVru0/3lfFLy DLlZUOZqZj0JqL0Yn9VdPgxc47f3x7cThmH+589/5B//+3Qv/lJi3vrtttU7KY88V9Hs0TlC A/DoN1W30a7a4Wff6KPgWL4tsa5oDhK0kUqjw7Yxr+83suLFRTWpV3iV0JmqTZYkTFEsplwv V2RhXZ4DtkjCfScHK2I+meZhi4by9XxpU97UiNWv8BCCbqNN86vT5ZFXUKPuEQM660ZbHBDm KXUpRifdKNXaoX7g6VFQMSYqq2NvhQmAMrJ8003tr9bmga5ClWqEbbvrPF8nIVnnWVyfruLR h/AXiP4vp28Px24E2sKZH4Fr9iYMHqt3bkkG1wIqZFokL0DKbYbKExzxhY5Api+HTkegMNAg /1pQbd2UWE9Q9URGLLActoVPxiLXqm6FOCNFESc36mgjDDdhAcIDOl0zXY+TgvOPy2H0vRmq 1iQr1xAMozhlVAXNh1McuoxZhUWotDKHIELlDEuQ+opUG+5REtVLTzSw2kPvlzonXQz/v7Jj WY7cxt33K1w57WGTuNv2jH2Yg1qiupXWy3q4u31ReRzvjCsZe8qP2uTvFwApiSDBnt2qpDwN gA/xAQIgCKA/+ID4jIvDeOWPgREOjEKqgPKZNoeaR9BO2ymz5Xx3qEGisxthxlgAYx2RX8d1 X3Wy8EKYuBNzw/ddlbbnTmqOFFobxJxg1Q3IetFhsPfODANxxSQVS+xoyBYBcvLJjhDf3X9l uUJbml3WEw2iqBbiJBn8BuS7CoQkO7WWQflp4gxCJ5Ie3Mim+uR8fXj//RnW5p8P3hoUcpkQ aBu8JSI0yn7iHBAWHeIx9mnW8YBnhATBNU8aJTlDblVT2pPh8DVQLnlPCTDvE0krJ4p91HU8 cH+/Vl2+CgQGNNjB9eufNBMTLnedrVHY199rWWLpDzSbci4EvJGBCuDvtO3wKbyyPSmrBt9p uDXQ7pNB5kmH3twG+VuatktGPkLMKrKeo0wYEqG1X4Vk4CWyFmSLyE6ZMJUex9mFC5xswrUq 7hudis/pDrrYo7EFGA7afOGPtGk07a2TZ1VD81vptYPGkd3OL9L0q0yM2bvKxvmYSowwTHqM rlGJ7vKR0tgj66wZobcs0IIGR3Sc+TGcxzLWuI2yb1U4S0ZD0OMWvWUOPMSJRqLnkA2dfHfn TUsQ6uM0JdLG12TwgROVUEt+ey5W4tIZ4fQYCTr4hfsxCaYcrJnqbA1SHaahsXehZBiyHwPC jzE2y6efHl+fLy8vrn5eWII+EmDib2KC52dS3ABG8vGMOYJx3EfpnoWRXNoXTA5mGaz4UvQx c0g+hir+EGzSvuJzMMsg5iyIOQ9iLoKYD0HMVQBzdfYhOFBXYionp3jo067Or8IzEAicgURZ W+GyGi6DFFM1i+WPOwg0zrTQ00MOGttcyGBvKY0I6SrMxp/L9V3IYG8iRoRscrMppIf57MPO Ah8c6OHiwu3LtsouB4m9T8ieV4XPZoHN8uzkIyJWoMlKtxgzAajSfVOJhZsKDggxcflEcsDk m1ksFV9HKj/aNqa22Eolsxjj6Yrm+5Gi7HnWdzYSoYzsI1HXN9tMjEuIFH2XTjcV24eXp4c/ T77e3f/x+PRllmiJ8aM9Oc2jdWudoFTq+8vj09sf+h7l28PrF/+Nsc7LNxjxYJbp8DzCHDi5 ulH5dAR8nKQ5/ajWp7CSr60wQr6pnx4QS4YBk+eARbKMn799B+n957fHbw8noGfc//FKn3Cv 4S/WV8xqGEW1zspUNhOrEt9kDruoweTTmGAy6pRszTCkRd92mC4rFrMMw8mqa/u0PD2fVPO2 a7Ia2A1eOhQ8JoWKEqoWkJLEVPYUvPtQrCr7+CWGVu1KW4HUX2oLPhuFen6re+sSguSEwiTK 30XU8QDDLk6PT1Xm0lTpb64ruuTldjS8obiJ8D4OqxPtP9TnCo1oOxVtyQeZBYqjnEqoAjXX InCKEKen59PpX9YdiU3nxw9nfUCli27O/jFHOz1JHj6/f/nC9hWNvNp3mOmKm/1N/HTAU9JB WWjD0jBU+BZXNDDMlcDSSN05ayoYycix1WiU1nzbAHgysobwKXA6/2NGLF3uy5IqJ0QxMvhV I1ET97Q0Q32BNQBLAJhNX3b+Ah+pzHYc+cvC7VKbR5JLPT2nM1NeqCKHRed/94g58sV6cffB CAImT6m0qSfN2dC4Cb+PgvVzA2Bo/HSZgvfj7kFTopjbav526j4acdK82nmsQUZSceo8jo/D VCxk1PKjngDHxmEbV9bVlvk1F4ff8L3AQ/sCZIEhyuUE86bvGzjzPNsPbeQT9M58/67PjM3d 0xf+5KhKOzT89fVRP++oSQwVDQBtDRivgj2pt6ikuqwuI3LY4IVVF7XyettdA/sFJpxUoqKH r3RRf62qmh0QFhh5cK9gizAk9rzqO9sAQllpgu/lNRaPUss2hTCy5Dkws0FUmcjHD7a+VarW xhrt+IFethPLPfnn6/fHJ/S8ff3Xybf3t4e/HuAfD2/3v/zyixXN0zDGDs7lTu2VxwDH95De PprInQW022kcMJBqh6buID8jQzPxese6d3PMhIwYln+aqsEhdLvoUWrwGCk0V6r2u28axrzN E9OXeAG1CusSEyo4B8o8At6hQZPqXXaRdAADgTEUlEoU5s0uk0p+u2c4rGbjwbGF/70cz+YD naxYhvNlntGXL4O1X4bs7ZkSr2o0RdzA15SgYeSTmwscXkwscOYd0YL9VRxnPAfR08Z7XIoI u4jkfgAkyOlhQmDcx628XNh4x/aDIHUtRZDS6/7ayGENnSFCm9jepuowZzmtVzV6mFjqnhnS QTVN1QCv+E1LkhZjKmQiy+ybguhzrD7HdIVXUiKdJKuSqCh0K42yHCUGDtGC2LjFbYQO5X/d OzNHuBQ3z48btwX22aMQhrWMD3LMDbwwsragbxYtyXMyYrnO6WBO+1K3eRy7bqJ6I9OMCplr URSQwy7rNk5wPt2ORhck2dEk29lFiQRvVGhFIyXpFF4lsCFZpmKKj2Bq01XPSN1gzA+ABvmj +2qSXtISPbs+wBUO0v7QwjfF/tB49KPPTIDQnzJ3PP2Zsq7whGmSnTSbaxBn0mMk+pA+QrDZ wVoUCFi/x/ni91FUZmhLkEKBX0j8kMquMFPQxsTpcm5kGU7Bwi6D13BEgJkXkSUlpqQY3Hoi hgU2kgmNBr9ZizT+xPRQ8UrpJRSw5wcIRg4c2FxH9pW/KszXHZksd+PNdZjJ7CI4dGrvzJn1 6SKriDQwp7jCmbcC3uHaser5GqH9PayA4W2KqJGlX2uz/h+UoS9h60+BWIzdHUPpsc5hZXq+ vBQOWg54fyIzVPfw+sYNb5ipipJmtjx4lZpB84qbeTnIWsHDftWBeu5ID2RuwS+wcbOfFQmJ H86PeVdRjzZqn/Rce9E97Wg8NyqvZQmJqLZA1tnxMghKtr3UAa6yji0NAva97XRGoAY0wg1F SnMQGyeDNgpcWaIos+Ti7OqcwlGiXiyLnRi98lgwMJ1gTPsCub3UYQ75o//gJiEjBZzuaKmB jYbPHrKAIyvVztR9mVdH+IQxqNFrrXudsKtf/H1M5+5XoJRDzTBe2S2xRLZ8GjL64erXhGU1 lL0YzIzwjBt6NYsfpcmiPFuXqNaHaqZm5/mwbCfo/TdkLYlnOztiHy5d9FdRxj9wPhYrjhPa xIiERvEgO3XPdoaKmvxgTNeBwnWH28mJJjojWG1pNtTrDr0U5VhDRjCXnaSTqoc9QjJlUH9B 5468p20zDQHFrekaHkIQl9HE3H0hBZ/74hagHGrD6f7ydA626eJgJhYyrneihXIsHvGfzthk aSw2J0s5M0XAZD9R9KF7homCmrdUTSOs212E3nEdle4xoibiJv24jo6kbUAXjgL3RVaCzHPM CDzKua7WWmQiU5/IcLEZ1UJU43SUNTwg3KyizJIPyvyOnHTtLoCCOMHFxtc9JsuSSPRj+If7 9xd8wePdN22VnT0Df83BJceO65TYKKcDHo8nq8TKq6PD5O4gEHKocd+b4TPHVIch2cAEqSYK udmM7iZwnKiWXPmJnzh3J0RypHTqbj1yxy+hT6jhxVV90Donz9XkEbkWR14Dqq5tHbhnBE2f XBC1/7Is6naU2FI1mOJYiwHMDuSjyTH000+/vn5+fPr1/fXhBbPe/vz14c/v6ALu7Kx5JFkc AQf76aepIE3b5I4cv/z9/e355B5zDz+/nOhGrHBmRAyjuI7sIKMMvPTh7FLCAvqkq3wbZ/XG HhMX4xcyEowP9EkbpoROMJFwugPxuh7sSRTq/baufWoA+jXg7hS600YeLPE/WsUC0IupzOF+ Y9yBllMPSdbSBREZQD2qdbpYXhZ97iG4uGEB+Xt0Da/pr2Qq03i8DrvuVa+8GumPv9iKADzq u42yw3uPcMzd7W5Og2uzwq9onffKFMCDYtxO0fvbV3zien/39vD7iXq6x+0FDPrkP49vX0+i 19fn+0dCJXdvd942i+PCb0iAxZsI/lue1lV+WJyxZ/umy+raziQ7LZZNBEfl9FxpReE4kLm8 +l1Z+YMUd/7gxMKaUPHKg+XNzoPVUiN7oUI4UdARf+z35u71a6jbLNb8yBkk4F5q/KaY46Ek j19AJfVbaOIzHkeCIfSDFfGssOnCS53QMDS5tKkA2S1OkywNY0JF1yLTDK6gEUFSkO04N26w RIL59YDyvIl0ggGfxxXJYnkpgm2XwBm8vPggDDwgzsQsGuNm2EQLoRiCh7ZtlRgOY6KBNjWV v8k20cViGUYuhsLfB6bGYiX3CCssJH2TFQ90RQKfCe1062ZxdWQJ7mqpMlpAAy2uocymB9Ja inj8/pWHQR3PfH8zA2zoBFkCwIG1hiirRfdzorJfiRF4RnwT+3WuQNdNM2FHjAgvXJeLnzrr bXAQ/vM8k56HORQ/rgO/HT49utkb2qOcxSu0FEq5ZdALS/5UxPk7mqBWj0QCf4kS9FixRFgr ADsbVKJCZVL6K4zfdhPdRpJb4bgzMDD+0mcyBh78NHPwBhGhgnidKwCbmoUd5XDgLGoZrlDT HBlQiyRYTad8MbPbVeLOMPDQahnRoZYYejjbsYQqnIZ91OSxiKFAHu2wb9MiSfG2zxc57McR BnZ57jO2/FbagQDd+DFgmrun35+/nZTv3z4/vIyRzKROYTbUIa4l9SNpVmj4LHsZY6QVtz8a J+fYtkkkIQ0RHvC3rOtUg8YRrQL7KsGgdT63JyPqB72ZyNqQjjRRSKM0IUVlks4i7kEzYnw5 U7+1TMzlpTewMxYZ55HhtQjhZA1UhaEv4igqpoVAtvJW8o62SsWxrxka+JD4n4+otj5aSv8U 0deRz3MMHHTMy6uLv2JfWBsJ4rP9fh/GfuAJbwO130j5NKSGbtIjtWFjvCaJUqfukUz47aHA VAhZTCYrskz+LSDrfpUbmrZfcbL9xenVECs0AmXo8Wye884E9TZuP07e3BNWMzWMgvdv0hVf KZf26+OXJx0rh5yy2XWYfk9kG+MadmHu41vL6GOwat81kd1fr7xHAervrfp0fnr1YaJEp5Ik ag4/7Mwqp+wMbfc/UNCOJp+kuddk09veWArwCPEDvNiY1PWGMPChqfqOdWPC0hWlXQ6B5t2+ BdEpyOpUqKFoMwGKvj6NyqO9vmeMVd3xGm9St43R9SGBhXvIK+3bjrd0HXPvododyy77WJ1h a0aam7HsNuIuO3qAZ/MtFneVWHsICm+U+iHqk8wOabSpYEpL5YJcCkzlgR7ISRaVJvX2TLLK Slxk0yWoCWr1+eXu5e+Tl+f3t8cn2wKwyrpGYdYwdgU9X+zNeOlmmMbE9hIeZ6HtmjKuD0Pa UKgUe2/bJLkqA1gYhQFWnf3qYERhGAa8K9W3uj6+jjO8aLJve0dUEGyxMPxqfK0eF/U+3mhX ReYMP10CpqgFmFgYGT+pYzhNQFJgoMUHTuHbJKAnXT/wUmdL56ftF2lxbsIAx1Wrg/xijZHI ug0RRM1Oszin5CpwtQ3YQG3W08U8W00moJmAxbSkzaAHV2/QcXrEhYcOnnwsDApkVfvtqwVN lA+nB7UgEXFRmKCegOy8qrWgUs32I1sOlaj3twh2fxsbKYdR+J7ap80iW38wwKgpJFi36W0r i0G0cND69a7i3+xpMtBQyJzp24b1bcachyfEChBLEZPfstSYM2J/G6CvAnBrJMZNLtxpNQo9 xau8YpqZDcULu8sACho8grJ3+yresB/0ks26vDUY5lNj1Rwl2V772RCzqRoWPgVOqyrOKPMK TG0TMefEFlmeKlwQ3q87rlLo1MCTpKLPSonRMJ1oJoyAEk/K4U7gEC+idjtUaUqua9bWx+Od NZ9c24dIXjFDH/4+5klU5jzkQZzfYrJDCwBDxt9gJokYBBTOf0yaN5cs6oyFBcDgUY1ag8Bl O4H2MUZk6BrHi7BF//88lKYIA3GJIRCn80Un3MmspTmhavQ+YZeLs2uNjmIzkOvFGP5kbBTn IVF1Zd9rNxjjoASG4DjJGR8saeD/Cy6Y0e+AuQEA --AhhlLboLdkugWU4S--