From mboxrd@z Thu Jan 1 00:00:00 1970 From: kbuild test robot Subject: Re: [PATCH v4 4/4] Adds hardware supported cross timestamp Date: Tue, 13 Oct 2015 10:11:22 +0800 Message-ID: <201510131041.EeBC9X7V%fengguang.wu@intel.com> References: <1444675522-4198-5-git-send-email-christopher.s.hall@intel.com> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="vtzGhvizbBRQ85DL" Cc: kbuild-all@01.org, jeffrey.t.kirsher@intel.com, hpa@zytor.com, mingo@redhat.com, tglx@linutronix.de, john.stultz@linaro.org, peterz@infradead.org, x86@kernel.org, intel-wired-lan@lists.osuosl.org, netdev@vger.kernel.org, linux-kernel@vger.kernel.org, kevin.b.stanton@intel.com, "Christopher S. Hall" To: "Christopher S. Hall" Return-path: Content-Disposition: inline In-Reply-To: <1444675522-4198-5-git-send-email-christopher.s.hall@intel.com> Sender: linux-kernel-owner@vger.kernel.org List-Id: netdev.vger.kernel.org --vtzGhvizbBRQ85DL Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Christopher, [auto build test ERROR on net/master -- if it's inappropriate base, please suggest rules for selecting the more suitable base] url: https://github.com/0day-ci/linux/commits/Christopher-S-Hall/Patchset-enabling-hardware-based-cross-timestamps-for-next-gen-Intel-platforms/20151013-095135 config: x86_64-randconfig-x010-10130227 (attached as .config) reproduce: # save the attached .config to linux build tree make ARCH=x86_64 All error/warnings (new ones prefixed by >>): drivers/net/ethernet/intel/e1000e/ptp.c: In function 'e1000e_phc_get_ts': >> drivers/net/ethernet/intel/e1000e/ptp.c:107:61: error: dereferencing pointer to incomplete type 'struct correlated_ts' struct e1000_adapter *adapter = (struct e1000_adapter *)cts->private; ^ drivers/net/ethernet/intel/e1000e/ptp.c: In function 'e1000e_phc_getsynctime': >> drivers/net/ethernet/intel/e1000e/ptp.c:155:23: error: storage size of 'art_correlated_ts' isn't known struct correlated_ts art_correlated_ts; ^ >> drivers/net/ethernet/intel/e1000e/ptp.c:155:23: warning: unused variable 'art_correlated_ts' [-Wunused-variable] vim +107 drivers/net/ethernet/intel/e1000e/ptp.c 101 } 102 103 #define MAX_HW_WAIT_COUNT (3) 104 105 static int e1000e_phc_get_ts(struct correlated_ts *cts) 106 { > 107 struct e1000_adapter *adapter = (struct e1000_adapter *)cts->private; 108 struct e1000_hw *hw = &adapter->hw; 109 int i; 110 u32 tsync_ctrl; 111 int ret; 112 113 tsync_ctrl = er32(TSYNCTXCTL); 114 tsync_ctrl |= E1000_TSYNCTXCTL_START_SYNC | 115 E1000_TSYNCTXCTL_MAX_ALLOWED_DLY_MASK; 116 ew32(TSYNCTXCTL, tsync_ctrl); 117 for (i = 0; i < MAX_HW_WAIT_COUNT; ++i) { 118 udelay(1); 119 tsync_ctrl = er32(TSYNCTXCTL); 120 if (tsync_ctrl & E1000_TSYNCTXCTL_SYNC_COMP) 121 break; 122 } 123 124 if (i == MAX_HW_WAIT_COUNT) { 125 ret = -ETIMEDOUT; 126 } else { 127 ret = 0; 128 cts->system_ts = er32(PLTSTMPH); 129 cts->system_ts <<= 32; 130 cts->system_ts |= er32(PLTSTMPL); 131 cts->device_ts = er32(SYSSTMPH); 132 cts->device_ts <<= 32; 133 cts->device_ts |= er32(SYSSTMPL); 134 } 135 136 return ret; 137 } 138 139 /** 140 * e1000e_phc_getsynctime - Reads the current time from the hardware clock and 141 * correlated system time 142 * @ptp: ptp clock structure 143 * @devts: timespec structure to hold the current device time value 144 * @systs: timespec structure to hold the current system time value 145 * 146 * Read device and system (ART) clock simultaneously and return the correct 147 * clock values in ns after converting into a struct timespec. 148 **/ 149 static int e1000e_phc_getsynctime(struct ptp_clock_info *ptp, u64 *dev, 150 u64 *sys ) 151 { 152 struct e1000_adapter *adapter = container_of(ptp, struct e1000_adapter, 153 ptp_clock_info); 154 unsigned long flags; > 155 struct correlated_ts art_correlated_ts; 156 int ret; 157 158 art_correlated_ts.get_ts = e1000e_phc_get_ts; --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --vtzGhvizbBRQ85DL Content-Type: application/octet-stream Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICDdnHFYAAy5jb25maWcAhFxNd9s2s973V+i4d/G+iyS24zrpuccLiAQlVCSBEqAsecOj 2krjU3/kSnab/Ps7A/ADAIduF405MwCBwWDmmQGon3/6ecZeX54fdy/3t7uHhx+zP/dP+8Pu ZX83+3L/sP/fWSpnpTQzngrzHoTz+6fX7x++f75sLi9mF+8/vj99d7j9OFvtD0/7h1ny/PTl /s9XaH///PTTzz8lsszEAkTnwlz96B43tnXwPDyIUpuqToyQZZPyRKa8GpiKV1nD17w0GgQN z5u6TGTFBwlZG1WbJpNVwczVyf7hy+XFOxjuu8uLk06GVckS+s7c49XJ7nD7Faf04dYO/9hO r7nbf3GUvmUuk1XKVaNrpWTlTUkblqxMxRI+5i3Zmjc5M7xMtkYSjYuiHh5KztMmLVhTMIXd Gh7x9MKyc14uzHLgLXjJK5E0QjPkjxnzekESm4rD4ASMUUnUaaXHYstrLhZLb8hWhQXbusmp pMnSZOBW15oXzSZZLliaNixfyEqYZTHuN2G5mFcwR1iOnG2j/pdMN4mq7QA3FI8lS9CsKEHp 4oZHGtfc1AotxvbBKs4iRXYsXszhKROVNk2yrMvVhJxiC06LuRGJOa9KZg1XSa3FPOeRiK61 4mU6xb5mpWmWNbxFFbDOS1aRElZ5LLeSJp8PIjcSNAFr//Hca1bDxrWNR2OxVqgbqYwoQH0p 7CjQpSgXU5IpR3NBNbAcdkI8f2cjTZLlbKGvTt59QYfy7rj7e3/37nB3PwsJx5hw9z0i3MaE z9Hzr9Hz2WlMODuhZ1KrSs65Z+iZ2DScVfkWnpuCe6aqFobBUsF+W/NcX1109N5/gAFq8DQf Hu7/+PD4fPf6sD9++J+6ZAVHw+VM8w/vIzcC/zgnJ/3NJqrfm2tZeXY1r0Wewurwhm/cKLRz HOBaf54trKd+mB33L6/fBmc7r+SKlw3MQxfK96tgB7xcgyZwyAU45I/n/YAqsEgYVqEEWOXJ CfTeD9XSGsO1md0fZ0/PL/hCzyGyfA0+A6we2xFkMEEjo725gp0CzntxIxTNmQPnnGblN753 8zmbm6kWE+/PbzAK9XP1RuVPNebbsRG6CMcXt9rcvNUnDPFt9gXxQjBBVufgMqQ2aG9XJ/95 en7a/7dfBn3NlD8UvdVroRKiK/BIsAOK32teez7Hp2LjxOR+d85qYLfIatswAyFwSXSdLVmZ Wl/XN6w1B79PyFpvFa2V3bmWgSMAzxM5N5oKrtIEPs8STcV5t31gu82Or38cfxxf9o/D9unj KOxG6yWIEAssvZTXNCdZ+kaNlFQWTJQUDYIGuHKY4NZXj8e3LpdQFIoAxknAa5slhLY0cNta sUpzFBpoCWIXLWto43STytjR+yIpM4xuvIaYnWLIzhlGwm2SEyqyTms9Wpo+7mN/Dse9yURn xtIEXvS2WAGqYulvNSlXSHT4qUNSdunN/eP+cKRW34hkBa6Tw/J6XZWyWd6gKyxk6S8UEAEc CJkKak+5ViL19WNpnoFDxIQooa2+bCyw4wO08cHsjn/NXmCgs93T3ez4sns5zna3t8+vTy/3 T38OI16LyjiEkySyLo0zhH6IdkIhmxgq0QnqLzZKu6pvdjTXKe6ahINjAEFPhzGnWX8cmIbp FWJdHZIcKuw6GuaErA1S/RFYzVVJPdPjZVWw7wtlGmD7HcEjRFZYQiq06UjYjhGbELLYEYw/ zwcjGUK9geDdYG6witYm5rkdTXSPbsu+w2YY1AzAufFmLiU1EYsimrkozz3IJlZt9uMv8apX l6QMOpfYWQa+T2Tm6uxT4KZrgDQOogAoT93unAKSZQ0JzJzlrEzegJuQjJydf/ZUuahkrXRM cD4y0KujZ6C1G14RE2kFlEip3tYi1DHsC8glNBmf20YgEptjp0pMGuyG8fNYiJlJMGRLsPGa 6MMxVwEsbV88ygG6qUGiTKjErg1lIvmqFfEbObw/8KY1eQ35HZ8zu+LDO5c8WdmcEl0cYF3K tBG3QLhKLBgfAAIaiabiHqSaZSiqIT0r6dWBBaa7KbmJunFWi1B1NFUfPmWYBYE3SSCaUIqs wjQWdQcGZcF3lYZgvGIF9OaCqgedqzSCxUCI0DBQQhAMBB/7Wr6Mnr16S5L0SR+6nCh57nFe tylLwPCilKmfL7ktL9Kzy7ghuKOEK5sFd97Kb6MSrVZVo3JmsEbjqUoFBjvplqOXFgCABdqA Nw7YEgWGiBH8cAs4kP2VxaG3HArbA1lvC08DHaUJ3qAqMPcgg/PcG8+zJqxWTWsD0sYmq/2u sxqChdeZksHUxKJkeebZmIUUPsFiJZ8AKid0tAz8DBOeIbF0LTTv2oy2oc1GMmpbqEQ0v9ei WnkKhNfMWVUJu3TDumMxJiX3lrOfoQLYoaW29qj2hy/Ph8fd0+1+xv/ePwFeYoCcEkRMgPY8 MBB0EXk7y4TJNOvCFjkosFS41p1b92MIZMvMAGr1TEDnbB7YWl7Pp9yL4YVF3g3kziITia0m 0a6tkpnIaRBm9511vL698g1PIvOzGpWuK7+G2lKashDOjIJ81tVOyFH9VhcK8oI5z0l2/UZT OxZbKIYdBcaM3jhBtDhlCTwDBQlch7oMW0SAAlcTMRBAVkChLiX2OxKgEyy2wuDi3HMV14kc teKGZIBXpRs4KtZkMsop2mFaxlLKVcTEYi8k11XcKdIRQYpFLWsijdKwFJh8tAlipBSsJEIs 20L8xXTNuktbkoreUvEFuLgydRXuVsENUyKSS3Jy3Er08MznLa9hj3Dm0EHEK8QGVnJgazuG OPRg1IdlqKsScioDe8WPALGnQEOmuETH3f6v2gmndRHbi9XfYOmRYq0IbhzNMlBLobAMHivL UV2ZbIKXynqiQtw6GYRCLs/v6m+ErATkP8hTE9E8QYEGNrwZ6RCQglUDbg2O5coARIxYA/SL mbBIJQX/xoKwJnXO/qU3MFVJuj436nHO5bOnk93AK4zz3YldW2K5hbele8T7lJwt60NMIY1J y8w0KQzLg46FTOscfAZ6LwQOiCyJIfINOEwEaFiTMmyUc+E5iW0Oe1gW41OSRKpt6yEak3u7 AS0HQEV7ZOHl6q05tXxmT+q6ULxI5PrdH7vj/m72l4vK3w7PX+4fgooFCrWFTWKwltsFoLB4 NOb0JmJ57tDPgviUo6UQBuILfmwupvq4aD5NR6nOwzoPvOS4+FQBAdyDKDMfiBvAq2CafoCw SE8j2Lg6jdY+NgZXHwCv4XvzllWXLXlIKf02jk1OCeRaB0IH5rYfXSV9QT+nw3snKRZvsdF+ KjqudzZv6x05hMLa2y7zsKLQpVZzvSCJuQhQ15CJGb6AbHU7kQWjDGwHaUwe7HibBRepPWy0 XrfqbF7tDi/3eN49Mz++7X2cySojbCIEuJmVCfdjMACxcpCYZDRJXbCSTfM513IzzRZJgHFj Nkszah1iMSWvIRnjyfR7KqETsQleJTYDn7QHqTNaouuhAPcS6Gjo3LBKvNm4YAndtNCp1G82 zdOCboqMUUF+gO+Lt0cEuVHl6yTICeryzbYrBl6JbsqzidcGpz6Xn/9FyLPtyVHYHdj6/876 hZzp2697PPb0cywhXUGllDIoKXX0FOINvo8cSyeUZL+/cerVdh1R27ZXJ0/Pz9+G019dng2y dWlPusFTKUgJ0DVOlyqZkQiQq+I6ksC4bA/GUtuNPSCZFqmuI4G2ONk7kcPz7f54fD7MXsCJ 2JL/l/3u5fXgO5TufD+wnIIqy+ENm4wzgMfcVdj8JsjcnAM0T0jtI7tQ1sdN8gFdASjAuxFt 5WJiDO6OTq70aACsGBq3NVeq3Ic+oph74L2jjKu+zmZgtQwoF0/f2+ssFErcAsxfCw1IclFz /9AIps0QH/odd7TJw7iNDx7hAQ/vTkOKWi/XRaADIP5ydr6gTkGRp13yZcumcTtXqcjocN2+ jXIi66Kf7pDNr4u3++tn/++HP71oVPwvpT2acHWlwRGvPlN+W+kkkMKKxTmNJ3Bvkpz+6E9R hzWdYVZY02wvEbkjjU++SH42zVOXMCnP+yDN6CQktJlcdNMNzyPXIaUQpSjqwuYkGUS9fHt1 eeEL2AVKTF5oPwEDaXBTbo+NybDBxsQEkCqr/SxPcdOXeDpX6ifLC4gHsOncFbUhWrAcGFvH oKDvtZDBsYQVbJY8V/6bSnuxSl+d+XUtd1IX54sjgbXMwRBhEJQhOhlvW7eNrPF6gUDZe3m2 HB8uic3MsXwRramQHTHwZhWvJAB7W01v79+gxWNWNrFLcdkTeobr4vPlhNmeXY4uUnKtMrGJ jaw7em94UecshJji8+rqsd9vIqkk3rIkSL1pDVuuZ4F5Ubu352N6aDdZFp1Y2plryivbzaFq kQ5DsWFULbcQh9O0akx8k9Td5MRCE8m2e0dUkAk2izlm5nGEdhclwDE1vGTEfb2e3cKLmM9z 7Lu9AQPZS6gtd0nSMW0FkAK5doagtGaFnq7BwoW3VHnOF2CIbSjDuxc1vzr9frff3Z16//X7 jhxQx+xnAylFzShOXIrrxs419/eNp7YN5GoFp1hr+B+WVWPNDhK2wN64AanGyAU3y7DWPOpt quSDhwlh0AnIjXX1QfXFmQ6kLaxKiebt1AEjxNvHdtzGswbze9v5qOVSGpX7hc+Q3k6NYoNC 5do/JALDtXcqe9jlKzMHvKOMQ+boSy+CCTrld2KIuUw4T4vmk3CGkHdV0aT9zroyFyX3xl7t 0GuDc/Fd/hycMon+HOwA8OCXtzGOjCu+K+3ZbpcLWPNzV4PS6uri9NdL7zYHUbcjD4q9C8Ar //w955DSIz7w7TWrZGkmTvGTELjD4xvJZM8l83Pk4oVmPaCSGyVlDo6z7+FmXtP1nhs9ebLV 4SZ7E7Y7F5nKjEDLvKow/bHnBu6mQxtJvUO1CSE68cPjCivSlW4ng6fC3YfOMdlOytgLCM0c UgY896pqNZHXugiuISXAqtO1B74KU/m3NuAJgDmMXtzwSXq3TbqQcTohZq0Py90IgzrhswBl sjjgQEapG4UZrDW9+FDHFXnD+KeDJRySMgCnURmBLh644wHK7940Z6enfh9AOf/llK6b3jQf TydZ0M8p+YarMy+22fxuWeGNNm/j47FmkNDYc06sEVMbp2J62Z3pRE3wRIfCkuDRBIJBDWAT VvP7WRhyK45Y0YQxrq+22/LuFB0C0qaRWaY59nsRxXJcKut+7Bt06GPtiOypJ7Q8d+2CO9sM EHKq6UvFXa0Hghh11wFgg8i2TZ6a8e0A9y2LWIO/DK7XEiQ/ZEzFRFqmD4CuNPL8z/4we9w9 7f7cP+6fXmxxhCVKzJ6/YdnVK5CMvsNYcpZGiMKdZ1DW1rbDlDDP8TKTfzY4dOotRAFGkXpl ueEWD7JyzlUgjAcTY+o1W/GoOORT27v6Z/4CB/wFeZ+7CHqLzmBxLG1JmmDZIRL06OS6ozSV SQKqOwruB3v9u6sfewf2rbcjK8/+yTI+tU6+sTtMj04FHMa2H5648zRsotIk6qS9W+EGYr+q 0uPvsJxku0BezRx7BISeadee3FNWquLrBiy3qkTK+498JmbZgMtpI3w0Apb4cdyS5swA/KdS XceujQkPEYC4hkHIiJaxcjS1FKxoqmNbkag4rKCOR9ne5YWEN7zhHDIjulCF8LK7sB+2WEA0 ZGbUCrMCwCwjrSS1NhKMW6c0nHCvtFfvnPn0izMtPlXjc2NN0D5klGHiRggrKG50AAUZuNmY 3iUAzt9NMIUMaw/ONOfxIiAECNXZ6qSAVEqmI40BEqtx0y8h6blG+CHLnMZPVhz+ojbpsNGY 4vHFip7eXroIe0QG6a4E3kmE5Q8crM7E1XAlfpYd9v/3un+6/TE73u7CM+XOUMOSlzXdhVyP b2V3THQFgwYDMpgCrF94y60X6FIM7ByvjOCpcTlRz6EboSfBIi+FUqgGeCfFXpT91/FISBFh NDT6J1sAD9Gv/Qr0rfFEsyUUF0xtgu/PhOJ34/etN1pNeri9oXyJDWV2d7j/2x1QBRmCg8LK BoTpVCOxlWR8/UTy0PnK1gLDgw6PB//SV//sa1BtpbxuyLp4d2bizJOXGhDHWpjtoGML9hUA Roh0rtJbiVL6SrRvuXDVeQB5I9Udv+4O+zsPVgUth76jb7d6tYu7h324JUX04VdHs8uYQ1pO X8/3pQpeBqVnG/ARF+tBLpG1yjlt8G6JUWw05mL/+Hz4MftmAeZx9zcYin+E+QkyFtc/eGP8 5peVwZWVQaBzUvPXY6e92X8gWMz2L7fv/+vdCEg8b4nBxBUnQ1pRuIeQGpwx2ab2AzEdEDni maBagkQWImAkAfioSNjoxEFpv+G4HgO6DkBlSxmfw3mcKZTXiwyugupgwrH681AFD9UCs4/r T37HTaHpPNeqdLIcg9zKffXcpSsI5idltamnDvaAjXdMbKUIEpEgf7YHBpOdCrme5KlqelqK aTF1Kbu7wegyLbDYr8/Hl9nt89PL4fnhAbbF4Dg7q3e/LxBeAUXPVM79lcCyqm8/RSKY74sc xd5lahJBFrmgB2fL7eDe3e4Od7M/Dvd3f/qn4ls80xpeZR8b6X0u4SiVSOQyJhoRUzjkxaYu +UhSasgBvYs4Kr38dP7r8F7x+fz013N/yrayXOKn3hCpghpFh/JQ4cQ3JKDaVASeuyU1RotP 52fTbWxB26JRWZurj6cxu7XdatOYTWPLeP6w+k4K1MNi6npGLza5XYbX1QVWOsKbBu5Dvd23 +zu8PPLP/cvtVyo+e3P+5dPmzfckSjebzRtqwT4uPw+L4zdc8PI8jpL4ocg4xvHv+9vXl90f D3v72ygz+7nBy3H2YcYfXx92UTEC7/4VBi9fRtV2M8ECOI6VqR6Z4bVNV8Dwrwu6pjqphAqc mwPfsOzUxR3XqADj8DCZxGwg+IkA9vGcPDBEOnYdY5vNR+o7+P6CUDhpPButLy9c1aoIzpNW fKtHzdzB99pao1RBdSSx13IGSsnHrwNaLsoV4Aet25M/u4jl/uWf58NfCApH9SMApSse3AbB Z9hUbDHorS6Fd+EOn5zAMPDM/5IHn+xPoATKQyLiYCpIIE/Xc9ifuUi2UU/uzIWPOrNORoOf oVyplRAKNRMoDRU/Iniv6CEUD5ZeKPfZFX6XTV3aUUN1yR6LexmwwIvm8wagKW+6D35H/Sr8 aMGWe2hEp1y3rTAz1GWXXggy/rn0a7DAUaWKn5t0mahoMEjGgz76a8BWoGIVzUd1CiWomrJj LXDDw3bbhEsA/UIACpBmLz9Yod6WYOlyJfwzbSe39qMakuqU7jKT9dBhSxher0MDaNgyInCt IkpsYpZojS9+veWQRGfleFzrjuiwQvc4JdF14KH9QGDOOWmhKJVXMuo43MZuiImiyKjR0Cug IPy5IO769qy5SIgGSU3Tr7k211KmBGtpEkX0v9QT9O08Z0Q3a75gmpDHmn94ntGzckX2U0pC dst9k+nJIge/LIX2Y27PTBP4k9xOg75Sqj7X/xaKSaJvmB3dzpXseJAoaUDfCVSRQMTuBnh1 8vXl9ttJOPIi/SW6Ft97kfWlZ4bw1PpMvHWR+V6q4zTtNwWeIwKW+6AXA0CTTlz0R8u9hG08 sSHsVaJwR1x2OzocYCFUPGbhG5hr6u/7iEVT6Z0fDT/e/JOTCZ3A9LusTtvPoR3ueYxUq6dO q5E5HkXIX5BfvTs1hrEuWmtAAPgZREwu7HhJItFhOBYlCl00a/o2JeKl+MPNgYW/S4VnwQWr VmEQUQbMPmdaiyzEEraJWm5tOgKxvlDBBxUg0X9y5g/CESfr8IPE2NHOK5EuuNfzY1ubej78 P21ftiM3riz4K/k06APcxklJuSgH6AelpMykS5tF5VJ+EarL1Xah7SrDVb6nfb9+GCQlMchg loGZacBtZ0SI+xIRjOUB+D7BtL8KkdYOUkjULlrqcVGZaDSDSTd/4D49USFcwiHy0pWyipoc EPApryppMGGM7k5G67D13iZxr+dyqtFE6rmml4pJCGY95ECZROr5zNMO1xUbobU0+3ZLxnXm Je2kj6+QXNOUZMsMkj02uzZRPO3e+lrwBwXrnBLGpiag307eGrVd13iG7BCFkcG6mSjWpt5q xUqS1jAeTy+8ACrSHAJPa9M1/hWUkB6fmIb5etg5ne+MHUeBR7XH12ubSMUyozflrq/M1yD1 W+qazVNGg/FEf0WDAPhrUwx46J9dFcydDYMhsmEd9bGQ5pU2+at7yghpQbT3cos+0reEC1IC HwEXYCGRm5gObBIPWYthZW5q5ACCmiV+t/Jyw8MGL/ic4k5kATqEjvWFdSZiHBhOeLFlwqnn HNk4GEncXmthdPq8xn3KsdJ8gjkDOjhxU3N1GW9veTddpMLpZXb//PXPx6eHjzMdY5K+uC5d bx/bFA3sM3n8k/VD6NTh7hyqf737/unh1dCVoA+6pN2DiKjD99EN00QDs+DjQtwPdGPf6tRA 3hFMhoE/6I5frRNedeSj/i9WWuTZW0V6lypB+yvdrXzLZyikgjA4zVvNqnYevoKktQJEkkS1 zYsQRKBgQo5XJNGVE22i6vL8DQJpt3SVhOJs3XLSpuTc3hhf717vP1/djh3Er8yytrttaBNj hxpiIdHtVfgxVNcVkuLIkeaNohHcIdLDkjRVtb3tsDThofMHfvF9YJ/Q18mvnFgTkVp8V6ma 41U8cIdv9Fbcgv4wYRQ9pxlOlzJPq6vzgZRuBB6uUGUxeK2L2hHrKknxxhgo1cCv9Yo1QqLf +w4ORVOEiKkhCFTE86sksufXaimT9I1++cUeglZK3HXrYTPcD6qdLRFeo6757tfGtz5XPkF6 pFHPCb9WHpgYK07vaok33a+fae+PdZe80UR9K/zq8MCLPOV5TJKCQczVtQNi3XWCWr4OXR8T x5ToOqnU2F1dsBzMePZXGzZeTFdIWOnRLowkR/IxjzWaG0S/wXL9j3Bp+NNo+JYBz9GTrx42 SZmkTrka6ej+FBYOt94TnBuTeDcxJvNuXZfsl6oFwop+cjDoSmzha6LEx79WRkVMyoC4hrPe UzCS7RCnpLEQ314vArPNJ6REUMEgmv99Rc82iZNZvmsTqZRc+LQYCkVrFqS7pBKgaPl6EGOd QqQVF6sGRbrAe0VAJbcRJWTgc+37cqg6abGAPnyEgKChA0KsQQGov3zcMKwBsIFDbw2craUA KfiYt0n2xmgIRpyuc9KWOZiGUFJgxZVYRQLOGlcBDnDNOR9ouGKUzAU5otpGnW30FhrJuq6w mzLqjRF0FEewfI+QhobFalOVeI8Y2ZRqT/oIKHSbnO3uC1nl2CrLT6sssZbcZ3O9Mf97dW1r msti2pwr+iK29inlq4724OqNPUgXYO7BFV7VejOtqB2GgZ4ihj22wmO4Mlejr++6X+qtgbK1 0Y8Quz7f2ho2jRMIiBJwxHpDA9n17gKm6SryCDRI4nnYR2QLkrI2+QoTYx5eBpz5wCtPP3zy nUGCZToDoZlLEse7xlPjqUjo+Ea4e23eFGQEsIkqQ/oVq8V956l/UFm81QbuOxXM0SP1MgaB VN1Yx4DnaQOucsTfwq8+2+77evsurZDSTqH0q7ayMQGlWQqP2GSbvR/wQ0IZK3rpIeiH05Jf bsG1mieTwYx6rOpQcEz41ZdiJpOebUnwMcMuYh0lhmCBFn6NDl8YKjMhjIVJEMlAS0xuJv3i nbMlnTXL9qWYfIiWhQPaKSxsGH3auBEupVEMt6U2ABGtkyWJ4yZALhATtN+fPJZSBk3po8nE fU8yxUVhSBHiR2he0Be8Oy467g9RTNIlBdIKg+lh0jRFDgjKpi5cGvUmzXb61RzqCrPLq6I+ N56TieV5Dp1fktwXsBba01ve0+9/PPx4eHz69G8ddQ15QWnqPt2+x4ZdADx0W0t2VeAdJ5OX aHTTstotS+o9iDpa0x9tAPLdlgK+R2KvBHb5+4JqY7f16EEkdt+i5zkNzbhrq8Cl60iXl257 srYluvledt8pIz3UN7Y4LRHvyYh142cyHgvRv917hfPaESqiK0UfDju3+Q3LCSA4YA+GEV/u Xl4e/3q8t0U0+UxjGRYKgLLltjsOiC5lVZbTVtoDjeR4FldJdmdPHwF5jJCdtgZJLxHKClmj 3VUg28JPWNkzQlcueAdBIRwooYRXY4QTGZiF+J6T+rzEvvMTTAf1nVK1Gai0tF93BoxU2V+t S4+mC5dvtz/JUiE2kXf6hjYlFelsYpCwhjtqNDlEic9WRmJZRezyHTPj62apcV1nFUQO5zXk oTM7tBW3dSJjshKV1U1enfiZodkwgFjSPSmVIFa9KatzFHVjgGKT0bKxtxhA+j03eiQhsHGs 1EESLkQVnw3cgbfWYMnmg053MpRXuVsAi485A6Eea62Bby/gZnXb4wwU2/fmj2bXv2NjlFBt dD97fXh5dW4swelD+G20GLO2bnohoDDwBjeWyiEp2yRjlB1mmpgOvmKGlew8nRcCtE0pRg0w +/PQVvFrlj389+P9wyyznZ+A8gQVfcXl8iJNKK4CcGrMEXmaFCmoOsHokIykCERFjrITCci7 pPrQM/GvyC6Qv0vsGCq4wt7fvrJXHTLJ0/V6bvdRAsH9y1+LpKBCgo4Dyxs2e4R8HH/d3eNH U9mUtAmXAeXIIztZ73AUdgPYp9xur4pqqUKLehwJWtJAZ2vKfSCp55mxmUDI28HLKTpTBmDf 0ZGlRTGVGfdDA0SPp8D7ZmkSqXRrXl2WIDswLIgAiJJvQJrMLUKeFzs7q6eJJ8JPKSfXLz8e Xp+fXz/PPqpdQvhuQTtSdkzIDD4KmXVFgMZZwLZdlDqw4phjZ8KBFopHYriEnw4p7QoJont7 og5LgTkzaVk21pHsxCnXNjgSh4Z5bVPby01itBMcXVocx/3MICUsJyA9ivt3zqWRjpmrRYJA 822BeHPrEDF84uz2IF9QknjBthI1lTBA+rS9bcS4mIvWwqVp6Ud2NwytzBHtDJ5aN0Mbnx4e Pr7MXp9nfz7MHp7AxOIj+NnNhFAvCaazeIAAhzS8q1xULisjVM6ZCSg1V7sbVhj6X/XbOnQ1 kFUN9n3TcJWqQtxQ3vL7fWOLTxuLZdw0Ms6dS9a3EOrZYpM2jXf1pQnDKd/E72sR5gBdSYM+ P/7IKTfmNG/gqR2JkwMM3BbEGXil3oEQomObPBqpBUYbUPwULNSeCYmcJu6r1AgvowEQntu0 3lRAfXgY0IP8FlXGD1nhuq5WD3ffZ7vHhy+QXOrr1x9PWn6a/Sa++Zc+FU1LOVHSeL6g8suc wVO7pzOclfYHTbVc0I80qYq9KjP9oG7BmedCiP7zLgzE34kN1YOKB0ZCexaSqoOJAIYez8el ISZJAaE4q/Jod26rJQnE1MXZdiZTYToxG+qwdVMe7cd7DZ7VbviLo8r3paxmiB6LPdSVzc5K J6Zggos9VmR6kA4MhAtL5Sm2j6xrx9pSRuiR2TuJz3dn6TyPOYfxK1bpDCvElxCzNRlJjaBl Y5EqAZIdrZlE9zsdLG2igzAJZ6k/M1yMjXGRbJm4ozzvGyPf1nrYNn7LjQjuJIkRAJziAAkq COdgpXsWxzuS4tRvue5sGDpiRpgZ60oDy9IUtIYSzTzN4O7MDwnEzNwedzs0AXmV5nYYNpmE RoYW1Uv8r7sfX1QIh8dPP55/vMy+qjAnd98f7mYvj//z8L8NeQYqg3CEYjRlbPA9ujxHNIeA kdIMkLoOTCqjoJ++gpgvBYVJRN7aMvDp6D8eT1FXpkN3Kq4WB0JK385lh8x1xU+Z4N6TAKeD GIyZDOgNsf7IzDWCxkyhYagEAJW06xEs23h8ESdNqSy5ZZrC7vvd04uKITAr7n4iqRNK2BY3 YiFzu9UyarGnPSrycYsCSew6+urssF5S/O5bShfHNOnI5WS99S3nu4xOLMFLT/XQ2Bpc/NGY yUx9CDIGWhR7o0y0eauKJpGU/27r8t+7L3cvn2f3nx+/uYFL5BTtGC7yXZ7lqdr3CL6HSC0u WHwPiiPpbVnjBLIDuqp9WXw1wVac6WIn9ToToVNAYeCvFLPP6zLv2lu7CDhQtkl1I1iOrDv0 FNdPkBnhUgjs4io2voqVyVqvtTDyZHfQ/WS+Hkik1W4JWxAwq4216Vw0EkGkKBDD3CkvM95l Llxc4YkLPXassPepWKCebohla50VW65MFVWMqrtv34wAZlIWkuv77h4SxljLuy4b0QMYYXjs 47iPYNRpOQQYYL9BldyM27TfXy5WS8tsvbo4HWDpwQXmfBsqIJ7hm3i+AGpfvek2hIDh/GB/ KUSX14cvns+KxWK+vzg9JcPtKIyOT+TAZPrj2xJl2JQHRAOpIDLT80n2XUYbO0G+w9apXsiK /nVQjH4Cw9Tzhy9//Q73+J30+xFErsbFLL5Ml8vAqVRCIQ/xjlE3qkHjRPICHGSjlePv3aRc CA5L37HOC9Fja1wPCoTPhC6zhsa95kIYAVsYyx5f/v69fvo9hT3hU9vKjtTp3jSEUe4CQk4p /wgWLrSbAunL1QYpUPM0xV0ZoOJqS/HyqKz4hYha1OIbrnJw2XXryXJIc+tFyOByXmTW+XE8 bbWN9F6tv/k/u10wj+dB7Hyi9Rluv2p5qoPvikdeGSlZxom2qPBcRBsZv6mr9MCaq0h1WRM+ 4ddoM/DxNvldP/GB7f07wP5ku+3OLSMf4CZysRwXRJfSZJcTYPifpQ8YcVdycI00B8bZcr6w vxesVGVFCpW7qmjE4Mz+l/o7nImjcJAiyKNHkuFWv5eZMQYWCh8YEFnWx5b3x621jAWgPxcy Ryk/1EWmEjlYBNt8q50/wrmN2wlWEQlyA2JfHPMts5sni7PZ6pGipt6a7SDUKjMvDi49AMwY eAokyMmqBvSeNNAYsMkljtcb49V6QARhvHCqB++83rR1UqGQpjorrWAc42Y5a6P5/vz6fP/8 xYybVTU4cLfOpIleHHRyzepYFPCD1tFroh0dwWRAQ+hHzuHWYE0UXmizA5mxs3kP0QV5n9Gv VkOBWZJuVvTz2UByLHP6fhoI0vqsD++rZIWQdK63pd1e7321pc7XEXsqsVmphvOb66XyS3wV 77ue00xwb/CGm2YnugbIZw+Bt8F0jTKkgmRZUrolg2Iq5fibK+ZwvXdvjWnL8SpSvPfjyz2l WYDwu3ULkfl5VJzmoafb2TJcXvqsqSmmOjuW5a3U/EzmatuyT8w8Ns0hqTqTkYYUo6xOjXuj Y7vSeiiSoPXlglhBlvJNFPLFnJKm8iotag65IiGsMijLzAk4ND0r6MhISZPxTTwPk8LzwMqL cDOfR5QiQaLCudE5PaqdwCyXBGJ7CNaxkVfRhK8JuGzdZm4ILYcyXUXLEKkjebCKaQm0Y3Au rJcBjT5p/SyoO+l0qWUzj5fGoSh/a731tAIVVD6ME7Uc+VbbbvQ7nmwWMX1KCRagExMn2Msm 6hWMUjkD522q5ULbAUrFucwbkMhefnz79vz91Vz5CiN2dEjbcU142k5X4928PRhfJpdVvF6a TdWYTZReaLeEkeByWVAeBel2HczVVvmKYVamCwMotiM/lqOuR45E9/DP3cuMPb28fv8B6Uhe hrDZr6DBgwGbfRHy2uyjODwev8E/p3uyA5UBUpYZJ4n9miJrS8Bd4262a/bJ7K/H71//I6qa fXz+z9OX57shFIQ5QQnYCiSgmGjo0Fgy9U+OmJ4RKP5c+6bvLuhm0RvgVGKxWjmcPIFwXrJU ameVQGbEEFZFsrQ3AvzylO1IakBIwq922QcIVjyS2x0SxR9q7i7v6fsUAgpf+x4MD5zvZUPd rySYfGQ4vzeOZ/V7yn2bt23dgn8qXJG3pjSSpwdP/p5LIfMHeZHq6QdCNHtJ8py6iyX3yjKk u7fSZegh4GxQRkzHxDgQnEFsNUNNnLBMHApda0h+QIV/6dTGJqSyI/6ossfsBRZCOgbujBUl Wqmbp/Iq/yZ25d//NXu9+/bwX7M0+12cGP9CdisDM0RxWOmhVUgzY4SG1dyEjsW0JCfWQqzB zPN0NdZCvvEPyPRgjd14h6PjBTCpjEBdkc8WkqCo93tkVyWhHGyoEn5bpWg4u+GUe7EmHKQ6 Yor7XUqCmfw/heEJ98ILthV/OV1Un1C2XCMaTgJIlm33sm3Iyor6XOQnFJxUwiG65FcMku9C EDDabVd62W8jReZrG5AsFInz+ba6hO7X03rKwytIvdiic38R/8kt6GvDoeGJ1X/x2eZyuThN EnCeeFdSgg21FCxJoW4bytL1xdQnawA8onGZcFE92xqGzwMFZOoD67Qiue1L/scSpT4biKQW anzjpplXTapuehUZnZLtEVmZ8Js/iPpAd6YsX8D8qqKN6saebzwi60CwWZDRzNXhd1I7wIFR GdFHXCfaXZD+M5roWDqncdMJlqS2Jw40bGK12+A2LXlrn0mi5hCrwQXjJy+DKj+Li5BSAQ0U ikckP76yAgWzFhLjo6DKQGyf/xGEsT1KmkKfhVeKj8jiI7t4Ck8ftMcdP6T2/lBArdPFTR1Q fq2f3tSCbW2sYgUXJRrBUqdQqeKXWYaJ8jSj15zwnS3T1MuPB7F9MsdhW2y6JQE1tb/UMVyZ IZBH0JiZ3hqyrLxEwSbInG7kV26B3bEDEVflTXG+3GekcmK4q+zNwRrnQoO8nvZuEUAwzLa7 1uUXG3RbLqM0FidJ6MUMea5zzsHiGaLXTvlCbdohKHGy538EKw8VLFhJsVrYN+pEU5LW9noU WmcgBUyZqPhPOCDJjp44nZLivVyloMKk8oJqkqTf2YsGgPRdWjQ7SouqllMabZb/2CcaDMBm vXBKOmfrYOM9ntUhjItqSuoKbMp4Pg+c4rc76JeveNtUVPEQh7zgrO5hh7kd15yMfs/0j3nm Xf81z9TyTixvjBF7JJ98RnQm70Qp7dpLVqKxAJ50yOwV1Icqi0qVWeKYQaHD/CtxyrwEASmz hRLtA1wjeUIdJ3hIe/My+8/j62dB//Q73+1mT3evQtqbHBeQ2CcrOJBPyyNuPK3R6AFWjGsa rEIPP6AaD3lk7BowDWeFRyMjsbsdiStpxeUYdpEMXb07cpQcRP3Glp4aZm7Pgcy8PDWMuDY1 JsWmRRpK3NFKrs/zfBZEm8Xst93j94ez+PMvVzoVPGEORvdGMzSkrw/mOT+C+bYJCTCKsjNB a27Y45dJKhZ+DTmHpcEjRyjItQKWBfm2w0HftMmiQcxQKsXKPz2CEatynDYaqIMQHzUDeL6k 3eQ1vk0oIzCNTE37rAFWl5v5P//44Kbx41AFK3vmQAV9OFfqYbtNA8pjzmFTpaPeCCzaDS2d 85IpLd47M6WehHCZFFblKHPgSjw2wQd8+UiYOrUpzkqKpWjCFAg740sYehSRRGlbg+NIlTHp LmbrVAf7iNfvj3/+eH34OORaSr7ff358fbh//fGddN7RLv5CKIjjfHXxyCoOVS+TVTfNkdLr QgpX1M0yY7W9pJVWpI9S0hzIoEiypOlw2m8Nklm6YTN62zwUsc/J/WOSFF2Os+rmFfZ+VpC+ LpngtNhenE3kilQ62Y47LuNDRaXPY3YgaB2n6wEDA1t7gtXIPZrlvrykRjHbtk6yN4ddUEF5 6FW3ojkK46s0ObHjGyVrDga9TWimpqNerEZkZOy+AWY8j00w7RvsFr84+WILDG0TDCVqGcw5 1aZLn6cJUu9ndMgKo/Asd2a2OxaeWHPmd6AWvV40JPLKjdxC2zy0olIoSH84+96szdI+gGnL m1SXxOfiril2x3es4yijpza025Wnd0FMMdbG5wdDgXdokGhlUEkFPpqyYE4JEgA2SpA/zfh3 +y36oUYK6cb32xPNW7HLnnKdArBZA/wkipVgsWLpohfzN04uFofLizH1rJEdHX+/K3Ny3Mqk FZKCofQsT/qcHpjNG2zXD7+v+JhJNHhZcOZx5bi5pYJOmk0S7Umq2uhMWVwWvekvrgHY+18C 8WufBFmyhoAth/fziS8egD2toiou/Ex9JKCNh0tXWPWQe3mryyxtTc3zDY/jBQp9ARAP46ZQ oj7q+e+GfxBFXXAeWqvmWtrajVhxe4TxuxVixAZYL63cBFt7JZr7WPRtS92NuzwpqgvZmCoR NyZOIa5B1PDxOIrDueeWjKMNtf3Nyk5McFGGVFO3aZ6pWEtUifUNPc+Qdp225pKRDlQ+wSu5 NY0qlA7kTapjUoDV0fXuQaTcLjd9tMzAUbEQmlJkFw6QrqY41jYOVhuTFNVS5dyTZcsk8/iH mCQQV4N+HzOoeFLyI6msNYny/D25voTMnKBTl6ebcB7R2wp95znLSK2N+WHJTcM7devxMt0E qZk4Nm9YGszRUoYvN0HgURIAchHSdiFm9Z3c3m+SHd/kBYTUUzf89s2J7vLDsaP3iUn1JsXJ o7YySM7sw5u81oW1aV0SnAcgwoZ6U9hlmaERyPIdfhKTAK+G9GZn7DFxqCIfQcFvt+CxinRV E7QvQAkjxUBPFqqebzH30hxuCxmuTtmuMTYD12J/jIZEHB1VJ7pPeyAnXTyPLoA0hPkywwDN MEjg5JEoGP4UbAJNyvdwcGNQAbEKTEDKhHiRaNgk64o7hvPcbuakrhLClRgPlnJPT2CD6BZO rK8WeDyfbNNSPuuhfglgvLaBLG2KI7eL1+ett82VzDSXFL4Wd4IVvZjBFeBtowvmQZDi6hWv YI1/I+7C1doex/Fy91S6Y5c8cz6CLMlb1m2TimbxJEGdgqTsx4uRg0S5ZUIf/LoTgnXZbJYl vdcbn1DUNJSXHC9MJoYXh9T8xZS3E7ykmL4CEgFh4zoLJhMFwr9Ww/YCy6PfXx4/PswgRMJg YwLteHj4qENWAGYIfJR8vPsGgXcddeS5MMMW6QOpTW5TQ0/atIyXS0OsBe0Pdh5UEPLBG1M0 hcFtDTCTHdQwHE/nXKjAl2JNE0WDdT4bRiaXQTtm50fw4P3Nzbb8Lwju8fLwMHv9PFA5mrgz vpjFEMnaqV5lZvhH+CXDPpkRozTMtj7GBFLI95Tf71qnQHrVSRQKDCmGNpzPxYWJRjOpLnSs vyaN5nOa8dolrdQ2TrcRT01LYPkT6tM6yemSGhB96wn2I1pN8dQQ1FIq7own33AJNkHG+9O2 wm9t4reKDlkwMv0bPBorDbdp7T0c9eVF4AydjtYW9DlajYxn6LDRVn3ffrx6bdKcEC4SIMO9 UFK6RO52YtGXOFyPwkDgMxRKTYF5I+Yov0G+JgpTJl3LLjfK+3J0AP9y9/TREw1LfwaPA1aA FkTwrr5FCdkUND8RjctP2ynwoxosn7uc+uAmv93WYM9jjNoA65OsWS49PCcmimm3AotoQ0mr I0l3s6Wb8V7cies3WvG+CwOPb8dIU9zceBwERhLwfHubQi6N/I2iujRZLQLajNkkihfBG4On 1tUbfSvjKIzeponeoBEn9Tpabt4gSmmpYCJo2iD0qC4Gmio/dx52YqSBmIyggnmjOkJEJIi6 +pycE5pVm6iO1ZuL5NK9SQKPNn1OM0LGrr+CF5sessZQN7EikGHn0WmnINKZIEnz1JMg2qRi jXXXU1SHpDr7GEOD7AYC4ROt1SQ8b5lghc+J4MkW9lnW1cf0wAV/mBtskgEEm98mbztmPpea +DhuynhleoGY2CTj63iBQhRg9Dper6mm20QbunaF0zFj/FVsbP8PirArwSr90nlLOorjh11S RqngTcLtMRSiRGReqSY6vY3TrtwHAaUzw4Rdxxvb/cglQBFzCDyKnuPiRz2up7WKho5FRVEi UwWTIEs282Xowd1WSdPWNPKQlA0/MH8j87x7a3qHhxFPCfu6zjwnvUkm2C4xt2/T7Y/VB/qM Qc32ZVPARBS7alLInd2fpbkTOc+KwLtMxM0TBLHvY3HlLJUihGxeWfIgoGKmISL5g55cwcde zDcQ9N3NOgh9+1HcUE7sL3oEM0gHvLzMKb8lk1D+uwU/Y7o58t9nbN2I8GDWFkXLS9+RPsWo 9fIk8ZV0zjqpC7F2HU0rmAuP7hKTbdYeWwOTDC4UEN5rTnvY46URROs4oudV/psJ5jDyDCZP 5dXkmXqBFpLd8hpyTVfMuyCMvKuGX+IVmQoAld/w1XK+9lxqH+TrhSODMJ66EtBwPfZ1JViU K1yHJPwFOnGfBQt6GhXBtkyCJc2Pa0kluszFHdX5eEAtg6W8uaGfCAaZ67JerzaROJ2bjlHL XdOpRdI351ZVarMgZSk48SU6YDSiOUbzq11JmoSOwafQ+yZM3GKlHLHN88bzAmJQCTG7I0QO 3IauSHi/7XC4qgHH+jYv6y6nfVxHSVCItpWm9FZ0c+nebdw6JFg3UmrSrk0qxMgvrQyKFs1t ntjGDxZFWgZzSqBU2DFqq14Y9j5p8+5oLAYLK3deGMR+iuTShGKfNPmNO7XduVjNF/P+xLYt pc5SVMdBW2Et+F28xPbIGnEuf3G5tHWXtLfwfiumgUyPJmkVH6R2ut0KwK0ijbM2ijro+7py 25hklyK6eiykZRLNSSsNhQfFkRCukOLIqYZludhyEHZI/GtL2qLobrSnEE49tQS4W5IkWC0H gusFrdZjQYN++O77R+mry/5dz2x3OXypEMFDLAr5s2fxfBHaQPF/nNFRgdMuDtN1MLfhTdKC KsWGpqzhTtEF2xJQpV1FIG3fBsR2wTwEXaDzQZv2qOh9UuZ2cJQB1ld8uYyJ8R8JigX5XV4e g/kNZT02kuzKWJrFKs3b57vvd/egpHci+IJR6KSkNHam+IvXhYzJWfEiGRzFR8qBgIKJRZqb 0bUPZ5J6AvdbVmXILvRYsctGHEXdrVGr2CFNx3Vq4gJCwYLpPDInVrai1ncTUFQo2FaZ39WY NyGiG2b45lMmGDXgYDfpbVokmZn6Lr39AGZZRjTTsr4kylKrMBe7BMtHGBxpCtTaHqO3AYW8 OzWs3+NUI/WHuqQfnBnppFmpJwbTCqTfc8rcQjq9qCQ3hsZcQTkKLi9mqMzRQ7SA3FjxZXQI uO+Pd1/cBxI9H3nSFrepeQVpRBwu5yRQ1NS0YKaYZ0YQS4JOxQUiEM4aRaUjD26zOPOJCRXH 8ekwwKtWhqjmUxg2E9uK9cnK/BpJfoErAj3vGdgyqW5llmHEFJkUMgYvBGihFhwa0E6mmDRj +KKm4vxp6FPKuN4k2MH2uBnulOr56XcAC2q5KuSTo+t9r74X3G+EPc9M+MWBw0gWrMsdBNbu GEDvSnjHS6cUnqbVpSHAwYrxtbRVtIdoxHmFTIeQVqJpMn1NveuSPQ5+jvFv4WAE1cKxl51J tE2OGWQz/yMIlqHpoKxp2e6yuqxI5zZdWJs6Awv3pm/QASf2jGpZYCHbJnS6JGDTJpu8rDV2 x4u+aI74KdxGuY2Rfl7m8Vc0BpHxZk8/ah1OqXaUMa5FAUObCwAXUxusAdR7ooodNbRgYleb koHyOitwsl+wUEnAol/GYEeizIRTCdkphhBolOuOyjNoZ9MWaOwcokE6xqD22fSEUpKknAwx InFniOGY1Xu7PyBR1TsjO5xgKAS3kuFYrCNQZooXTJp1GzlkysTaLRRshCjwyQyvaoKt1Bcn FC+0jTYr40kA8jEyZcOlQtEpl8Z7P+c2sgHmPQMOdZACbIHspyboAsv6zZCjhRiQ8owcg8DO wF7A4N4m4RC+2+CpDo3pDwO/hqxh06wMwGFtUFOSVPv0kKc3auaQwi4VfxqSV8mLFEIcIp4E s3AXVhS3ZtQdcQi7z+qh5Q/TyCwOgrUQUjYjo2IBWr6EQYBIQ7oMh5TuFkxcw/g1WwDL42W0 c/vx5fXx25eHf8TsQxNlHFgicpX+zP+MOxA0abJZLugXSkzzj6d3koJVadci78UBJUbG86HO qACpCHB/eakmwgAlxb7eMmuwACjaNowNjMcoiEJkpWlc9PaZiZIF/DPEUbofvV9dflMVzoJl tLRrFMBVZLdNAC+R3XkIF72kVNwaGQdmIiIAMqT0lxAU+UZBSmsUGsYuC7vySupEKct7OcBM CJkbq28CuIrmuDYB26wuGHZiiMPToAab2qpoXuCHTA4uT0tmTtvLz5fXh6+zPyG1gY78/dtX MUtffs4evv758BFszP6tqX4XfCGEBP+Xvd5TsWqcBW/ghYDG9pWM7YC5PAs5Oi97CUy/WQu3 TW6FDMQK/HFe5qcQg2RoYQSp5QO/NblpYrYH9bcRkiPtFKqmrgSfQdTOC5gpjWdJ/o+4Q54E Zy1Q/1Y7407b7ZGTRoR0NcB9ATodT2O6BKwATuVwutavn9UBpus1Jt6ZVWVA0Lu5HxEZ746k AxKgtDcrpgegjqLnLVTF47BdjwkSOIneIBGLk2J/zbdgcLG1HHYAhHM/ANNf3r3ALE0O/K5R k4xPJTl0XJg2brWAxw74t8K0dBNg7U2Jae2Q2AAryvW8LwrSMlWgazF7rLIKF6s3VFE+cPkK TtKifSf9kdMgFqfWPMTgi85XaIKGlY/a/eG2el82/f69LxylmpFhc7v6CvHZEB9YT4o1BeKP FRgYoF2Rr8ILKQ6pLDoTS8TdYINNw13WRACxyME9qefg6/svjyqUo8s4wIeChYScTDeSw6IN NyeqImN0wOaJZDo4XJxeTmPTPkF2qrvX5+/u9d01ouHP938Tne+aPljGca+4PFPT1MTRajH3 2IAPbMvAXz8+GWyBGfCZVYoHM74T/zI0ujq10oQwdF2w+3VN9GAqnMcvesC6F8uAEexw296e WG6oqgecJbcMYH6sWsZzGQHJkDdANX9OxKwoXVmiEvopN4uhpxRAp6+ygDhGtv4QhFvscqcG CF+H8nsVZA7D9EBbUGmrN5+YZBW7/evdt2+Cb5AcgXOhqWafIZE9Lmu3DuLYOH/Masm4JpKA pbS1tUJ28XoV0HeIJChuq4sTjQqTcDKJwoCKguBi9eN0iZdLU5qR4/Dwz7e7p4/uSGjbVXsG FVQrJHCD1JhTZ9iEDu1xlJJEdHGGTz32Uc7QqoeXYGlM7y77hc6Ec7szLfsg1rTTEfX856ta JiHuzCRQ6mkxXXbLOHIKk++l8Yp++ZsoNoG3Qv1matWn3hrHg1JwfddHYBQvcOXbLvbYnKiF qiPBUueQmlVxotQHa2DbLI3CqXFwKV5tnFo5gb2H0yaM+Dx2F1oaRbEnDrQk+ECtm/P40BX8 /p9HLRA6V/Q50NyVNC2ujeU6YTIeLmLkj2zigjPNPk40tkRiNop/ufvvB9wexZiCH0Jp1akw nFZVjXhorhjFrx4E+GplOoGhWzjQBFT8clzKylN8GJFNBlREvUxiishTahQJIcDMA2wg19hV G6HIYGqYIqCrjHOcO2TEbd+Ha/rVXioexb3aNAVyjTPh3ly2DbgBAqHLUSRZKq5+YM8N/llb HsA0HhsHbJUEmf40bKTUJU7WwqavoMap0SUXt0lCjjIiQJGYEIY6BAcCvuVue2H8/zFDO5iI y3xua+hs9JUokmPDLKtY0MjtYasnmwBbRYHli7gcd0dxZu6T454yFRpKBZvONTrWLQxRo2vK PWDEN/FmjoLBKETRxOtwbY7AgPHoRaYSKwgRRH05GJaRKwG1aEPZLQwUYgoWwfLitlkiNnMa ES7XNGIdLd1xEYilGBgXwctttFi7gy+nrS+6NNwsAqrzbbdZLJfe/S6D87rbXcXsFf/v6JTw iio5GdztEBTF/NmfWGaDtEpCcdDqnVRF6yMezXVeCCHyH/fH9mi+iVkoYymNuGwdBTgc5IRZ BHT4PURCrYaJoAzmYUAXDyg6oQKmoZSrmGJD9UsgooAYjKzciLuN+qJbX4I53dZOjBL9rjlR LAIivYdCBHR1i1Xo+WLtK2q9JBvI0/UqpO7egeIm7nJkSTLAg7lEEIXukjJYHtQqvtZ1cefl kCqObNeWjlE0EnSXhhicjK9CciYgscnVfmbguM/L0h0+bf8nblr8LK+wbHkj2GlKtzgOh5AY 58udW7AUJcPd3u3Gbr2M1ktOdWSwz00yMirqUIAQ+srMLXhfLIPYTKpjIMI5J3q/F5d8QoKJ Jagk5KRyMQd2WAUROTVsWyYkz2oQNChE8AAXlalzkSp1uby6gEBrqxew/aUQx13ou3QRUvMv VnkbhB7fzymhSZUnJAMwUsg7ZunWKxDiXiTOI0CEgeeLMCRmRyIWS3fyJWJFnBwKQR7D0gsl uLajgGI1XxEtlJhg4yt2tbp2NQDFZu12ArLkrKINNUcStaC4SUSxJJenRG0or7dxbXfHMCDr TZtofvXUKfNqFwbbMh0XsnN2p7Y5kJ6ackWzXBOBxxXYIHizBIq1MdBrumXra/NXlFTWKnC5 JdZfGVMLvKQ2aFFuyHI31E4oNwRLI6DLMFp4EAviulEIYkc1abyOqB0FiEVINL/qUiXVM97V rVtilXZiX0TUCgXU+upUCQohiBEDAYjNnOiy1Lht0M5vSs8blf6EHzrqOBLgkDi+BDglRtR5 eh5v4TIP1hGx73NxIy7m5MAIVBiQ+dYMitVZBQO2G1LydLEur2CohaVw22hDzLC4kpcryOmh Utq6XQc8tTQkIloRX5TlakXzdVkahHEWv8Fk82BOTZl0Aw5jumCBWl870hIxpDE146xKwjl5 6APGlwNkSIOXrq+LFN2hTJfXLvyubIJ5SFUvMddWiSBYzInFCvCQgJ9Y0qfNkWacBXIVrxIC 0QVhQIzbqYvDiKjlHAtGMMjcDwBhp4MwUSEZnd6kIHeTxFw7ZQRBsY6XHSfbKlCrak+2Vqz6 A8EfK0x+2FG3jOtGecWmZFybYJFl6b8mieJmHpiSmDyNExQ4VYOuxIgdKCAWJPjz913LGtqG cSAdklPsa0imlTf9mXkCHlBf7BLWKutsyrCN+ODIQeHRJGlO9cyk1GqIoqhTcBC72qRfbgrq paGFNNBggNBjKwQTjTpA4K1mU72EYMDSPYV0ZIJHDllIWiSmgKAwvE77rBOHVs13TthTTKKr oyuJFvOLscY0Qq7QoZko7qluV3oYP5oUu4Ox608bYlkyjeCqPie3tfSqk9vmfPd6//nj8ydv EBxe7zqiHi0bu9a22jHO+GJ68QbU9A25rCa++CqZ1mhTNJpCGXYQDdTGK1SfzgSwrZbdKogJ DMgH0YWqQrpOuuAkfX+E3AjnDKkGZSqpLocn9oxSCiYFK8HiUH5nqpkFfC3ucc9nUvsQ5/ZX vFkG87m4VslYjdu037GuSdHMjt/mx7a+0lC2XYuSVe9GUJlwtBPPyU5sUk8Bq2g+z/nWKgPC 6lsg0Xx7GCVsDN7Z2BldRyrBxIQ7PSoG0C7u0FxfgVzwWaq3tO0GsPtB5MVXJ3sKRtRqrrpL 69Wb49KLlBEe9av/VaJovV2rLhNDBEwMGu3hosaDJqDxeu0CNw6wTNLDB1wkLLS8ESxxRG0s COISBvaMXFS8BddwKWW//3n38vBxOswgoalpppOyJiXOyqzDlmNi5TU152wr3TTUo/Xz0+P9 y4w/fnm8f36abe/u//725c5MZiu+wkVwMB00ugqlpkxmqjBKd7GI2RHg7SKS4eq2LctoFZL8 Fkz/rxY+ENjl+x4dJU4a70P10sXJKBoXgcjo5TaReZ6atmmZOOO+/f589/H++evs5dvD/eNf j/ezpNwm06jDR8ZrHxShBgGSDDkDgfAUWFzcFnjqGo3YQ+KatKw8WGS1pDDagHMy1//rx9M9 xIJ0g9MOG2GXufHVBSzh0ZrUwDWlfBm2rFzkJ0kXxus5WZxo3nIzJ1Mtyk+lIz8uThvfkkA7 s7eJ8tlTyoYDfxBRrRixOGc5FKz5ENrjzSCw3n9HDCXWDEhT0T3CItxn/fqLYKCpt5KGGuAr bR0o1AAOF1EHptScpUbNABNETZHhmhWr+P6YtDeELXnRpGCPhgE8RbHdJz4WBt3TTkVUNGZE SAy3bPwsJNpUgJPGVGlZW8lwAHUjZGkyqxogVTCWOZ4mBVwSQMugQQ55cgkWSzK2mUbLN25r ggEaLyKisHgzX9OM7YD3vGCOeFLjPGFjp9JuFfm/GdhpxMZ9kK47lFU2fAPcq11Jk+6WYu3T auNjug0W87kvFZcsczQFM4EdH3IwoMrabjmPKLWMRI4GdiZQMel2QTxPrzWKs8V6dSGPRF4u 57Tvk8Te3MZi1dCxYtTnpOlzsr0s53NLNEu24KBMA+uuwR3ltzw1VYgAQ9GsrMdKwBdNtFnQ M6fQ8doTnFTOfFKUZJ5ZsFcM5kt0zKl4THTAvClUEypfwcm8FCM6DNZWl3X0GQIar5w9ri0r r1axCZyrZYB7QuohEuWuYX8ujiZPHoXuXCzmkXfLDPFx8KKAUs9FEK4jJxKgnMgyWnp2qGwP HZ4fUINJsHnpj0axLhDfTyZChRRE1Z5LIW/6dwqgvTMjpPzNxpp6CYsd2GI+d2BRcKFgFC+g MT72ZCBZzr1O+GPbqJhlY6wlQ68whl+yPHsmhIpEf6qLLtnnFAF4DR9lGIKKH8ucLB2UZlJn ZlKNrZ7o9FVK9s2iWs2p62YiStIujvHzhIHMlhFpD2aQVOKvhm6m5mPfaKY6Pq9XYnG1xnxY hn4Ys/JjIk9pYTD3YgKqtF1SLaPlckkPgdd1dyJhvNhEc4q3RTRCqg8SqgFwZawDunqJoze0 SRSvQ4qVxyTmqWNgujRaxhtqzIBdE0c83TJgkFYLKuKZRYNtgzFyQ5r8WzRrcqoHBs1XtmMt 6RJpAQAn7MJ4FMgRo+JN6Klc8IgBfRNNRM3u+MFOEEeReQzbJ4r3EMUUHNbeoNOs3NURGTg7 slviil0Gq+j6hFF8CsaGERmBBBMt59iI3cau6WdMi0xwMr9Etri+dyhOx8LSniQT0eg4QmEW OI6szDpBKVWlLmP//e7bZ1CSEV6DyZ6SMpQouO8MHeFpnwguwvC50gAZNmLfHGX29rFYQKok cnlLZonITC9t8aMvGXhscoahNyXX0QZc+G5LonZbCL03viNhZFEnWS8GKxszkGB8140xO4CP eHi6f/748H32/H32+eHLN/Ev8F83FEDwjYwKkJ3WS9MmdECkh/Vcel1Mjywaw1kRrOiX84Gk ujR9J26hDZltUrY3211wpW0QxhYkyXKctnGCSu6j6egXRJOspCQMIEjKTMw+rlHB+pTdkHBd J8ZV9fGUJ0ZBGqC5ryUJHh5F/4iIoqSXRYGDEMuR3QRLZ0IErG/avGAlqyD05OF85Y1Crtd9 YhfiS/8FOJ6caDND+eE+L53CyvN+55v2fZksTa2Khq1MHlvDohVO0QbgY0a9fMoZ4tZgiW7u Q7eElLXtkffvxTbzlPT+UuD2bev0wDFIhz2C9YPgDQSjHfZh9vjy7cvdz1lz9/Twxdp6SvNu U7IhU8ls+/3x4yfppiUJdt/vvj7M/vzx11/geG+H4NkZh9twOsizwgBv+7SElLY5gmVYpheQ bV1DOjdOHspGYeLPjhVFm6cdrgX+1M2taELiIFgpltK2YJ1VKeBacfY1QiwpwHan396SYXAF Hb/ldM2AIGsGhK/mnWCH2L7SKb6v1Fg3HI9cvsvbVghRphpUHuzpcZtYtXBxqxSMzjW7g4sI FJQ5mR5vSx0G8A0kzFK3CG5YxwrZ0U7FsXSXz+chXo3zKAAzIbfHtKgFqCkR66cgYgp2dQ9+ +HVViZnwrJLbbd6GVuh4Ew4LkP7USsgNEHHviDminx7l4uKdFykmwJMOBpBiudOtqBbYoxUm eO+hHfOlWJ3lQSZZb08NQ1pU8xMF9GiHJrwl3k8Iesm07JSgmQWArbIYwL4nvAFPV8HWi7lV WpHH8yVpvStXPnaBHUGCqyqKvGLH0ipuQEOClvdH+mFwIvP0QGOt1yTommQaPCuyu0Ucygjy jEVihrRVv/vUPn8AOPhdFimdNGYgo8UAjR3b4CPitP4OML4bHnAMHwbidx+Zl/UAC5YIpoLR oU0GC5bBqQ3B+NIdbcCmCS86Uhnbij3fkbkUxWLPa3GqsxQ18Oa2xQdyBIwmbgqA+iRNPbF9 Bgrv9jvVdVbX9sFw6uJVSImccCiL6z6vOqsdSUvHWJdHrHe60qQt6cxvcvCk3m4aARm2ceuL 6Q17IRd7oapLT4HlVvTqYm1RBZMv4nuHgxiw3uGTmUH5Ic+dzXCs+5tg40muIlda2RTePc/L NSmZjlsDdtjA1hhPlQKYFgnnOrKk2SjAFYvdfB4uwo6055UUJQ/jaL+bL51vu1O0nL+nInEC WizuTRhecFsAGOFE2wDusjpcUC5NgDzt9+EiCpMFLoqKHSLHYJWvopLSTMhGZxvkNgywpOTR arPbm374uuvLeXCzMz2DAX64xJHpRzvNgTXUDn4It/LVRTXnkgLbWtUJI90ByZLKeLMI+nNh Ri+e0Dw5JG1CfTjq/sfxNGpzM/ZRNHG8mpONBdR6Tpc9PDJfL1xpsKkeFWW0iuYJXbhEUspN g6SJl0tPvyn1kzutVgwvo+iTGLQ1juRFkG2zVUC+DgjWjncQCHiyYcimUH/p89PL8xfB7GoR SzG9bjwn0PukTnD4fSL+pQxVedrWRaHDWFzFi2PqQ/7HajHKe8eyvHULR2Dxd3EsK/5HPKfx bX2G2KbjMdompeDQdmDx6JRMIIcg2k0rJKH29jotJLHAGqii3tf4F/gfHgUfJq4OdFJNKD/L bRClxbELQ+phi9dHM9Cw/NnXnDuP6hgDuhBxxDDS+RMVWGU6nisCNWmJAYdzZuYQAFCbnEvB Z2PgO7QyAMJzwaBWKX4W0wg1u3QboS+gBcSllUI2bgFlmASq9nqB4vw/7hmKP282S36H+9oO EW6t1mrEqLVCX0HiNjCjElxJ3Volgo4Vwv7KANh4ENQ93NeFuF3oqOLQE8Eq9jtuj+Apb7c1 ZCx3OEmSiFWdNTd2zMMBNHyEUacxHqJJXyY934utQy4OGDaMqJsigpQfGoP6I3CLAUduGTli 2+Sc2xQGXqfjcGsum+NiHvRWrHGjSVZvLy4sSTfrHnLapHbTlVmibw4sGxxZVBbEMZ3kVKIL HnleijR6QYfDUVi2XCwDq+2cHRprt4rzjV0aCiY1K4hjkrhjHAdXWiXQPn9tjY6uoM+kHzFg PnRRFMZ4Q24hMRxuugT19Qn8S2r7HEqTeWDybRJWMpwwAlbD5VYwX+7cK7g9jSlfhDHptKeQ KxRRc4RB6tk+49bQp91lZ7UmS9oiCee4jL10+MOwIrnVhHhdyu/Jm2UoaIFrVAUtcOklmKpg CLMAeXqoI+swgTwy5pU5wcxY7BM0e0fTXihw9s4aWr3zMa0GXuyBySseRGvfDlLYwCqfB5so dgoSUNqtXiBV4h9rzRzExHvoAWXdvEJACFTyRxsoZw6VLN/9Yjq+qYG2arip230QYvssuRLq glLySdRltVgtcueay7kQoyN7iAa4SmXlKVLc7M7JXJXhcmWX1qSXAxn9BK4d1nQss+6ttsyj 0C5FADdkGJsBt7SGnNcVS09sa3d6UmqYlwdL4tDe+ho4Hq0I1XbHmlub4nSBaBPWrNyWOyv2 tEoElv2e/Pj4+Gz4Tcj1lODWCoAOTeosykQxed6VmfSCp5QAqkiZcTG3eUSMkz03koZoggYc R+TTrs1cAFZetxA8r1Apakh0UiVFPWad5w+vs9fnmWAs/5r9fP4x+8/d0+vs7sfr8+9fnu8+ Pj59mr1+fpjB0/C9loScUdPlcraHLIHF/1XJzjirsq3nRpJGy3Akbnyk+H/eMgHML743Bos0 mdPmhS5ZFHp7IrHufWhQSAuJ/x995Syak2lQBzIn8O24bFWAQRm5UAsEc7f1be5+KTrqXe7y ddutC9a/4GlGoRqzxF7BYcfaHLKK4BIHqGRybIZBXC0+geyyO1u3Npf6fiwopdy9bWWNdXtD q7sl75ZvazLWkxLkUvw6pE7HRmaE832UJceMCcHIbguvyfhOUn4GxYA5WINQbXRRgmS2NVbh h1SFEgIReYZK5ElKzE5hDA+YhJbcM1gKK4UZfz8Sp8kNR09y4CYihWlvGXzrNuq2jGJSu6zQ IFut4uXcrjvJxZIP8E2erlY+AUd+c5MciiN1QkohDPKUDCkwWeYqsg4ogB/LpuiWXZtX++6A sJBscvx9dL6djgB1/IDH3N0XWTGROwG+SBbgxks0XiLT9ogmfAT2OyrtkkRrHS7+5gjHAjmG sst5ccOoZzxAqtjluJ/pgYlfKIoqgJu2zhjk5vXWlN6KA4rMWwRYMbz7WoY9N9R+I0z02a4w B+sw30jkRZ5aOaUA+sHKFo2mr9wymUkSfSI+kMmsPV/d3OZ4dM6CA6mNoAWy6NtW6QgRlIEL vF1dd2bVgTSuUI2pOBPrEht6AaZIfeH+JDav6lNtj4bghZi9ABGBfDEs6yOnznpJwMCjsN51 dnNKeD5rvWMts4EOSe7Rh3Ur+DfPV41gNsR6LGo8SwbYvx6avEsgjLtdXyPWsu8tWeILUXoL TL1v3Uot8QUvAp6wLr/B082Tkh+rvd0A3uR55skkKvFdnheQ686UKCTiWDXFkdsj33rsfeU6 hHzsCfcYsMlCIdPpu/oWSvY0qGOnGvdMrHcuOmEBD2Khls7yPghmtFMaQm8jzknqSfoisYx5 8n4D9sKq0mreh7yt5UiN0AGiDhWT9DYTJywOaCiHRcao6Q84h82U1QrdLeOXMokWGaz9yLd9 fUhZD7ZHRa4tqozLBfzX7bdXAMoUEIeE94cU7QGBc1oGMJmUc7p9Rnjz+efL4724nYq7nyif kFminZVjxFV1I/EXwd2cSArAqjQHVsyykaJLDqfabjf+Psn2OS1dHM/0Z2VJuoiJm6JjpqZv gFje4DIvBX99vP+bcAIfPjlWPNnlED34aDKBJcQb6LdYoyhuqK1ObOfUcIAsZ2SKoKk7Q50d 25U9aZw7kryTZ3HVR/GF6Ge7NKOlTWAlL+PMPaB0LAQrZrxhiV/qLZqC9Tvx/8MwiALuDp4k duNlS7D0l5tbBcMrqxlzWwJVdgqk6jDhfo8cSXUdK70zKQFPY5dLInLciDPDrU3AyGkpgFe0 047Gxz6H1wEfe2K+6/nIT5DAgdHs3jRaS9psZCRYkQEAJHrw0euS7ohkBYn1ZuvQ2DQIF3xu RpVUdZ5Lp6jRFcJX2jYLIaging7tOc8XoWk6rUavi5abyAIOYRowVEYjrvJuW9c33MJN3j+4 vV2agAOKf2C7Il1uAtK4cdwJy3+s/piu49YGm/31/H3255fHp79/C/4lj/V2v5V4UcEPSO1B CSGz36brGeXoU2MqM5c7dwkU2n1//PTJ3dZCLt3vkWGtCR6fja2h0Ni6yvmhpoRzRHbIBVuy zc1snAhPGBUifGr6LiCMDs1At24IxoatHOWAPH57vfvzy8PL7FWNyjTk1cPrX49fIP/b/fPT X4+fZr/B4L3eff/08PoveuxAUSAYe8voDfcgEcNI821gnAeRVnzWf0z8v2LbBFuzTVAV0K1M aCbYplO1Xa1G7KlM98kcWoOg7A4p3RmD6D0jMwZOBOllv408fZI4r2GuRWg8Y5XFZeEZMYFa GqjrxVbYtBljfqVddQr5f6eGGSjW1Gzrx/SmVYaDHDgeqmkGhTiqO0qtYlDztqEbwU2riFyc +b04xcHogaft0XgvlSiHzQWo2T5JVeT7JL1VKcfIdSOpfMMqkWWpisYty9fLEAmFEsricLNe Uge1QkcoVbOGhS4sjwIXeolim25pefppKP12r5EB9Ykn5VfbpfqpeqQHkGTfCHKx8JTNoXGo TzDbHsTAnBA/LRCu/w1YguTVHjnXAGx0oj8kkEgU12zFsWECtFrgRQy3PquTDiqlDxaVO0uM P4T0sMiGqs6ASJ24Dhp+5QvEQR/4ESfO1ABt4TEOTqryPE6Dk0CC8L6z0m5m8LiEA4clx0vG eFMktIB2JGNMwBAPJihT6TrnuW7W6fH76+Ozy8FrJy5kBzHB9P40W6iRW3iQIL0ENIF893PK LEvTVcgADp5Z/bRAlWT1eP/9+eX5r9fZ4ee3h++/n2affjwIAYsQyw+3Td6enBv98vDkNXgE w3DdE7OPAOZ5sdMowVER/TS+BcGrBrfDugNrs6mDfpoefBW7P5ZBaFULR2nfJHvSEwoopH/s qUsPTpOBW8rJC0xgzZSOQKx8C0YMbsQt16PJOMmmA5H4A4mfR4t6VPq+6iD/6lcEayHFJTRf PmYZrwRnVnfFFohwKV1pvpQDpBGrPC0zu8Eq/nBbAwvjbfAB3uqaU1kecS2QCL2/FMh6digU Q/htaY2iLPPUmEUKAWrPUKbfgqU1fn4Rg59n1KtdI30nv6KfYx7XuQVu6x0r8j+WSGWaq6N2 n4sFxznt09J2hfX2pyB92t42YjDStKQtkTFZd8Ooty5MdM4NbkKg4mATmsEXOi6ktHgQgpg4 4F5e7z7BK66l3kru7x++PHx//vqAcwkm4sAMVijW/ACKXBC6XQYgbYinsR6TNo1dkA4EjEfF PMzeG2s8TTRzoTrzdPfl+RM8Y398/PT4KiQ5IVSI3r5amqIkW6/mlKGKQKzNfA/idxys0G8I pG/+FkK1Vf1Q95+Pv398/P6goiWihoxfQ74lVLwE6IhEFlB506lu3H27uxd1PN0//FJng6Vv tAWKUj/AOCxW4+UreyH+UtXwn0+vnx9eHlFPNnGExkX8XgzjMnz46ae4dO6fvz2Iqp5enu1m wszPsb5GpQR7eP3P8/e/5fD+/J+H7/81Y1+/PXyUvU/JYV1uZPpFJYs/fvr8alQ4rJwhmD8v ws3cDMqFMaaFZCcgKIobAP5Z/zPeqnefnh5e1Vby1wiR/1UYPhphu03aaMswQe9imTUNsk1/ +jmTDYC9zlJzVPL1eon2LgAWNiA2ZxEAG0wRL63NLkHeCFMDnmp1+/Dy/AU4CN8aHssI+WaO aw05yArk0gWUDF4kKxn0MLPf4Qh8+ii2qBkIF7IyKXeI/ASmqF9NhHIKU3g/RnyZV2YaAYdA OUFMBMqjzHzSF5DL3rgXd10wxxEGFESbbThDyb893P394xsMn/RJefn28HD/2czenieQXfOn BRCXb9UdxKUsOmDanmJsUwvWwvvtMYPAFShat4nfVh6bC0SV5WlXUK96Dll+6XwNLUQRPpx+ d6VxzQ1El/d2obs0rcdwC7fO43kh324FD5pLbqdKmo6lXD54tSUzrYIVk6NC16AzQCNaSxDT 187H78+PH9Fhyg9WYt0JVWVtzZSDStaLblvWow5hUZ8HLvsGPKfpl0gQxWhJknZ6Hqyl4K3W TA6wO3edTCMqBq1LILOB4GUMj6cJD74fGh2Fo0Kqk5ZblVKbhRtkqGQi6ypjeZ7SbS6OYNHS e5Qn2d7T1WxPWintBTvf7BMIfzEtQM3H8ZucGYfOsWJCSuCCNTUeMiWsl0KDstAhEJVpTAde wbsOHS7id5/syyBcLW76XWGOisZus9UqWnjS1mgacL1czLceL/aRYp05dUunzcgDX9uOw4AB X9XAkzTMIIlIr0hEsHRqlfDF3AMPPK1ZkD4JiGDlFNmkmbj+Fg68TeIYJ7nUCL7K5mFypSZB EAQh1UjOsyCMKW9LgyCau42UcDOLqAlfEvBuvY6WrQPvWHVbpO4sdwWPw7k7CMc0WAVu8QK8 nhPgJhPka6Kcs7RDqzu85ndFfnFId1v4v/YRNs+GmlPvKpd4Nbo6G0oU4zUB8kKUlNAJqEOG DqCkYHklQ+icPXYnCRfCfyEuiJoWFeVL21t4uj0Dqk/wG45OJVrHvkCakqDddnQKod3xHev4 kWiURSATDGG1XMmKum93cK3QBiyNG0thQsH9UeQc2/Q03qEtOfM3Uoj4iXRG0CRmmVKnQ436 cPXV1e3w2VcT2DCtD0K61yxPmiTzFwdvjTdAITUlZpxiEwHeamQgJQ+5VDXvkhSevRipBSPo zXZjtDbrgEe3X6j8JDpNqVgx1aHubvLbHphNQjjKksZ4Wtb66bwS3Ikhn0AxZ9O6HyZdAaam 1Q1ksvZPgEpqVPMD2xossQb0206vWBd1SMxITrKYtGxQIBiteW/IJ8FtCaocYw0pGzhnbZWX EvdSlVonN12bMKKA92YsV2n12u/L48UezhZrzbVtANi4pW4opkk7dhKbh1Hafp0DqkxFh3He 5GO7g+C+DfgvbY9dR/KI6aGty3w8fo2hVZiaOyMzIhpIS4nMRYdkDpALXRzkVH2aomgMLeoA FE3tDBEoLW5A5VrUNZKqpOJS4MC3QDBxhupTGcMAblTiPH/9+vw0S7883/+twmiBlmMS2aYv nLDQBoqzZWR6pQJMB+I2OjHRg+kIPttGzIV64zEI0izN1/NRK3QYgn3xb49PshOWalH1jD// +E6lCREl5qcO3g6Xhi5E/uyxWZig3BbZSDldH10Jy4t5JLODMqYQW/ANgrI70kZGI0WHI/pN r4ilJuAdmR1DbMZtjUJbNCkZYr8Q7EvSl9saPa4yMfZHbwTT9uHr8+vDt+/P9+7gtjkYfYLq 3tSg58pLrm81QhXz7euLoxUGd47f+M+X14evs1qs0c+P3/41JbUhbO/EMXNhPW8TWuiE1Bzk EDWSq9q10q9cKQvVz9n+WdTxhDRoGqWS8in9ihDj8jKpMszQTGRN3sLZkVSkAw6iBINwcDzy FTXGJHdmYmiyk4Zu6p3SERnP9hc4U4c+5/+8Qp4mXzY7RQxZUlUoCPMdW6G81noaT8VxJmni BRWJSFO0HQSRNu5EDeflcmmm69XgwaoVWVLWpn8EM58tQWs2KsqmPTBC+5Q0cBH4GxkxEIVL ALA2BsozR/9mYDEw1dHmOSyckST0PJWMjdyWSRDTzPO2TIPl/EpIMKks7BRBHyUXRjNUN5f/ 09iTNbeR8/hXVPP0bdXOjG7bD3lgH5I66it9yLJfujyOJnHN2M76qE321y9ANrsJElRSNVOO ADRvgiAAAnXEG1T2x/DjfjadeZIoZOJyyer4AXO1Ws3sdA0KasyZBBDGWzd7OI/YF0uACcTq Vw0ymv1F6k0o3jQaw5KP1pU1tb7Mr8jLbwnh3okDYnlhXHTRoHE1s34TZfjFpUzTbRZ9xcZc Q8QVYeoYlf/yEvcnx2NkriXYCCrJiT7TQtTmzvAbY6jFcTY1UyojYLE2mokp2udTmo4EQMs5 Nxm5aC+Ix+cQ4rxLVL1DISPmwPcC07VE4fRyZjRXwWbzy9pKcTXmdrEKU2vi8du/cIw4VqrL xXrtEO8ePk9qaUmRRkwlMw2nVF1q5ICg+6ouhwuEEmRYuZtQ7kyfq35zDiYhM4WIhSM2OwvX O8gQYxjsiTu1O/gtsZquiW1mtaAJABByyRtAVkuqHkLIkjd3AuKKbihg5bwOEFDr+bLyPIxF 7CXZcCuSKAF/yw6Z5cGW5DfYwgz6lq3ni8Wc7IrV7IJsiuXF3Hjgi4Cr+VyP+Obl9D/vp6f7 H4Pl8v/QHhRF9Z9lmlJpdYsmtLu355c/o4fXt5eHv97ReksX6tWK8gWJLb/evZ5+T6GM0+dJ +vz8bfIfKPy/Jn8Plb8alZsTvVkuVoO16pypdPhCGkqpmRpBs8XUHG8FWn9wLfNs4gARHat6 adqkgmw7M+PJ9Yt6e1MV6qDiUWjWOIOG5TOgx83abBeWOU9t//fHh88Pbz84g3G0a9h0gnVy MZ2az73h93w4kRKY3zf08X483b2+v5weT09vk/enhzdnhJfTqTt2S88xv8+Oa64xSX7AZ8Xr KSbhMUUhHBIsksbEMaGj1HLOjq11QbSpH+FEXbCjI1LYS1NDhhNlVF+RuKvBbkZsk2G2mM8u CUdB0IK/NAFqMedlEUCt1yuuVdtyLkqYJTGdGpnVpQV+ZurvP9ZCBlUxfWzKCo4frtC0qVY0 UExRNtBTNgcllDufItISdBYLT2ymJqwXyxn3BkZiLgyGpY8B6T+wJqIUgJarBdeiQ5inS2UD PudcME76HoRzPkuf2E+vrtjVkIntgmSRz7JwsZov3V0PlLlnW0uUf9dLtLnrqWSM6HFz3v/7 8OT08awdnxz4qHGqqrZstOzuF7nRN5qjUtz85fSK3IEb6CADaY9fE3Alnc3Y5JxlCuNMYrhm 9WrtyW7TD5zv+XezWk6pe8sTOnu4rKFeXC1Wev2UL8/fHx4pL9Xr83i1Ghdac3r8hmegp/tZ eryarvmFn5XTqSGv5w3xoYafSiXIyaqAK5N8Wxb51v6mKQr+6iSR+G7CqwM/ZHEXsG9zlR5s /KEWBFHVABATf3JcvcRYnAF90BUUaJDG5MxzXwwGaevGdwNhI7hRgAmPG7yENhjwk3iM0GSY 8LPbiH1sKTIJHtb2IfFEMkD8dZU0cRejlohX2iARoy1Vq2l3M6nf/3qVKqJxJel444A2Rnd3 g8rFbn6ZZ92uNgPwElRbB4SzB2HW7TFBHyK8r2ul3sbKC2pcjtyHvuXp5e/nl0fpPgZ3hgcQ 9lwX5kqQtdDs2jzC8I2pq4cb3S/0vlOOE4Z41ntSBAkWIpXh5huqJMgPUZJxYUXzg/LVVXLs w8ujVLi6CqLIqA1+dIX5VHvI2wFlZcLQVveGPTPRSBgFZpSTKEvMjsDPYZ+YoFDkMl86eprn Rd7FmwSWpx3SNqnDGq6eAVphE9O1eUSMNW+LYpvGZkYiOQbb5+cv/57ODEX/HXQ17GPXDqOH blFyvZoqxRCaHXfXGA1BvdUiOrp5t3EB3VE0DVFSaURZ1AmGf+c3naaq47CtrMdnJtGiY+OO AmaJzXm0AGOtpKVLsyqrscsuzqUDiuWcQ2l874M+BhHZp/jbn9Sh7rJADvLYuirGR0+AMXsz AIFUrppRwtMYGbE1yTecKdEoc5gfBsWMlYk2xkt3Tjdz7O5PJ/qjZ5INtPUoSH6BkZHxoTl9 OCDr50TmTU1XZ9DYQ6ohpNcje9VYOeDyZN56l+VAXLUgzIkc6Dp8ZcO1TNFaPVRAUcNQEyNj nqSqI9zamTuDL0E4Ume/cHeoRpyfOE11ZvIkiRoxKi7ob3+ysySZVD8L1iSBI2fGR/HtbxR5 zNnHNwvSbkYeSWzqvGiSDdn/kQKxl1WJkZYOowzhlqFhPc9EbXmW1HVSeHw9P7VFwz80kxh8 O44vqZX8vuFHRlKGjTEKGjJ6WegDt22KTU255abFsEgGIATA+AsD3KbiRk1q72R//5WkwqoV GzNXowLJBckuxx6/g31dbCuRmTOjUHainR5cBB8xpnqamLnHJAon2uzFALOLMjBm/apv0e8g 9f0ZHSJ5Lo7H4ngHqYur9Xrq84Fso42FUuqrov5zI5o/88Yqd1g3DeFZWQ1fEMjBJsHf+mU5 RhfER1wflosLDp8UKK+CDP3ht4fX58vL1dXvs9/M+4LDTJVE+Hp6//w8+Ztr8Rgl3ATs7Ujx EnrIPJmxJRazoJurVwKxNxj+KVFplml5IFClURVzvhH7uCJvzyypDG5izk+OjyiEdV7u2i1s x8AsoAfJ5lL3AfzjO6KAJYSSMUHrmth04BCRw9l7UFdd8zqMja+WWPJbixsPwP69lvXYcPQX c0o1USrqEY8OYl+DAusYVoRm6z5uvGdeGyTO0GgYZtRES3YkGR73IG+gTG8Ny+oAvbVeNafF lm1ECKzC7EH9qRX1jqy3HqLOHS3fjTddgla5mfgrsSaMMABd2WG8tpSNlWkRyphobJUmAR5M Yck7bwwfyOV/rkp72AZEesubSgwC3iw/1n17ruIlhlw6BGmf94NrQpwFcOGLueep4yRUYpvF edP1pxWWNSQHPRyd5ZklOTAKz7ovMt+635VOSZ/y49JHDrj1hjL/HmTnlu+rNO4KEiIf5sKt +maIIzVeGSyCrOHDdTgFFQ0XulCRwcXWqUj5mXGDf1MfrMFofSMB0g/GceVZZW71HX8f5tZv EtdDQWwh10QubfL62qNAUeQdr6dUTZOLyotHqasPRxGx1ldNhCdanCIR7bu1GAAU0V/Y+x+k 0ojpvoXn1JfbSvokxlVSGFXgjNs/cQRJI+1QV3WbV2Vo/+62ZtBbAMA9A2HdvgoMI0dPbOcR UVB8idTRWCdhXO6sE6MH+aemJ+DvQ5omsQpN+rsXzxgk+joW6GOIQff4QJmSqi1D4XH5lngf R5ZIxzN5hHosUhL/C9XWWXCmhLMrPSz5rQ0SqyAsTriCz8Yf4UaM9Y5FXJVWCRLgNM5EcrKf Qrgaj9yMJgI/hkDcvEyd1oNY3oFYzg+PSXTxS0QeUxYhuvQ8a7aIWN8YSmLsPgtzQcdixJiW cQsz82Lm3tIoB6c4jllZJCtvwWsvhjh+ENzVgs+uRYl+ZfSvPFZiSrTkPdtoey98wwBXVVyW 3aWnp7P5yjdXgLImS9RhktCCdPkzHjynBWjwgqde8tQre/o1gnPbMfEX9iRqBPcMjPRm4fuS te0RAmu77Ivksqvs4iSUF70RjWGAQK4SvJpMU4QxSPH8a8uRJG/ituKUwgNJVYhGhYx1P7+p kjT9SR1bEf+UpIrZUMwan0BXrBBpAypvE+7xGRkmbP6jjWnaap/UO7rU2mYzRP7Yn16eTv9O vt7d//Pw9GVUa0j1Y5dUnzap2NZGWDH51beXh6e3fyZ3T58nnx9Pr18mz9/QDYqoRTDxmfR+ N7Q5KjQKXivT+IDCXH9yDK93ZQr4/tsIxoMqJvtkb85hqJ9LfHv49/T728PjaXL/9XT/z6ts 4L2CvxhtHEuUsdk8FoM4xwdp3bWoMPoP5vYTTUwcyXuKrK0bpfLlVHyY5FAW8mE+XV4aN7Sm SkpgJ5mMb8NaLEQkywca466egzAc4TdBYR7Ekl0V17mpmVXdI3qaGBNgMDYURQqHPSqmUTGT YX4YTuLAkMnXGFJI9awspE7WVMiZcKcxRQXrSkmBQyTJ8WKJEdLxalRxieZUCeoe8IEEGZ5E p7/ev3whK1gOSHxsMMY7jTOlykG8jIjE7lpFo7SsbEw3NV6pCOweIgxuNMIwbO5UuhLZ+izO eqRVl8acaQ7I1hgx2RNeqE8imLlFHzJMI+gTAAeayumLk9JZgfvX/n0qDreTsp2oMN/g6zt3 lZloTk+AJcl1hmOilyotYgesSa8BOfkTdK18/6b2/O7u6YsZWBXuZG3Z5yEtTE2mqCIvEnlR KWAxm2SlIC/p/TTdQaQt5l0y/D80LYaaMGk5HaGXuC94zNWqsqvu8B1fI2oyVErrPaAkO8ZA FrP5lGvXSPjzZlm0dqsUEFhJUZSESxngYYgIUrdxTOsDK8DNmimByLktmLx/2nRq48R51LGr Cavcx3GZUN8i/XTLd6Ht+Qic61npun3gehz50uQ/r/0ruNf/njy+v52+n+Afp7f7P/74wwhj q4qEG3zWNvGRBIxU6x7aSB+/9TuSJ7++VhhgSsV1KcwELIoAy+rjwpl2hwNjKpSKDTPVmPwW R8fd4T2tl9noAKYpyV02fouhTESZyGiA0ops1Qr7FCSbWFqYjfcGRGYx1gDOvkQyXFexeG9L 4X8nLWvfzqRmel4mEuE/MbZ2OdJQmqgT1CosrGLMcpeI1LVJVWHLnnpy8gBpzyeAQKIoY5Rh UuM2j7FEaoV2jmxrmEetKBCbOE54ARI43HHs03TY0/OZiXemBIHxJ0bbYY2L1LLi2Y7ab95u oEe1i6uqqIBRfFSiDSehKdOgpqBm7CTF85y31ANSSRl+MULSZGKPCQ4+tfxQSRq0+PeD9IMg Nrh/aZtIcwchj60fwyvm4Y3nHbvOfqGP5SqBg0SGpQ6L8kbxSjOeTK3YYb+Z3FjDmMhCosgR C4tv0+aqseex20qUu1+i2ZRdH8OVSB/9BWGjV5Yf2V0nzQ5j4td2RQqdhUULMi4mX6wiiwQN tXJVI6XcNE4hsGtJnif57LsvTRVt7DLZXxXSiLZbNcVKq1shc7QfLMrXo5Ke8Gz40+A2qaG3 oTuyRlFyDV9LPT+tn5Sn3TftgnpCd0XYM+FdCD9ZA8DUQQ7ajHDDEC6P3x7DGVqkBODU1y9h NZW1Mxt1LkoMpe9F6OsLM2RxF1Qih/FWoUItqYLgpDukxyNAokUOnAx5dv8djS4zUMFq1Hje GK0qdQfJuI6iiOQdRbQxYkAD7ZlE7FbQjCBWa5At28CzdynPtj2zY0duqNdNPxRc2z1beiyj XwuNgCOtdE608XaaJYXjljVKiwM36ALgubtMVJw+wNxzAx05XA0CX5PIYovzNgPuUUrzoL4T Ve9PUhHSnF7flIAwngn7qOEdurEaKb7ApcPjMB+M3B9kM+/pHzSwLS0WLYULEPm7ETf6eUsz vAVUUuJ6OYiBxjbDlu7iY9RmRnQPCcVjLEdNR1oStYRE7gHb0IgLEl6hPUoGIOL3IgaokSmm ZourpYw9Ti+/QZukcEcpwroivtsy2LqOlsPNoBzxfWb1YTiDSXgfxATlxj912hnaT9FKpRrn ihNnzAhLl9MQk/YRe1ItMLYCa+Ifr+7biPhE4G8P45FiBzAXKyJhj8cIW70ILq+fZjiVWFTp Ta8vJIo5A95FwZaTfmTkrkYuIEfwrgpPvgatJmswUkYLnLcq8qP7fX707YyoaGGRKa2n8xk6 VaVtzandVKgPN9uEigDS+BJB4nQMbMs9njG2KS6Irrkp4256vJyO124bF0fjTZ3i1KL6MOex eMCN3iQDTlZGejIgYk/qFE3hLmKXxnOsjo6ARhM/TO2JUGpo1HN4TNml8G7pogRBPrmFi2gO R791+KvipXToXV15lpgcb/gWF+ygQMNtiRwT+BbbwpF4Q92bNE9rgX9JDkuTttWn+/cXfATm aPQlEzBlD+CucFSg3Ako5Lmsr9v4pd6byv85jiy4NjQDz4xr+dRJMgaXwIVsuGJ6pxk/pjtu qoxBUz1JWmcY4qJEpyeZiefDerVarJ2vYMaSvD0y5fWYUXf2KzSu+tChjZLaPrDOEKO9hY9O Z5OKQ9jZWjSbRl4N4UqLUa9sNZ5DXBZpEt5EAbLxOlGRZM6UzZHrOq64LmYi5LXmAwks8+LG 42mnaUQJA5+xaQwGmhuRkbC7599EaGZj9/AMXxo3gTA0cjb2w2+/DadYUSl1iOnyLUPH6h0d vvz49vY8uX9+OU2eXyZfT/9+k6nZCTHcILbCzLtAwHMXHouIBbqkcHMIk3JnXr5sjPvRTphG SwPoklbkwjvAWMLB4GjjSnQJtUdQQZnOG80ej4S+kpoNkqaQmcjFlhmIHu7WRB9aUGq9/ztL QdpTbTez+WXWpg4ib1Me6FaPXPJTG7exg5F/Iqb/mcL4x0C0zQ6OAKdEKvprYrx2Kkne7SAw hB6Hp51e7uL97esJ7j73d2+nz5P46R6XPyZY+N+Ht68T8fr6fP8gUdHd2515LRqTcPBHfl9r yMmo+tudgP/mU+BgN7PFdOX0p44/JQenJzF8BJLCQXchkJFGHp8/m69LdBVByIx6yHvDaaTD G6DKwGlGWl0z+yIInY+PzZgG/u71q6+lmXA/3WWCa/8Rqjk36gcrW5QOhQKXW7feKlzM3fWl wOp9OY8krowGHAYhhY10ZoCrsJlNo2TDl6BwTCnO2rKdIq250KvKmaQeIYU+MyiQ3pMRB3PL gcv2TqisXi7zzDB0NMfwAOHJoTpSzFecm9KIX8ynTo31TsxYYFfXdbzgUFCNH7mazQek3URZ bMaFjyOFe4p1edm2IllgNDstV7O5MxNy1ju5OLo86Rdo750TPnz7SoNi6pPWZfgA0wuAQxlF W8i8DRKmuCp0CwJJ43qTMEezRjiOzjZ+WKLORhFZnKbJmdNTU/h6OeChu9BbcTj+vLaRdt4T n6sf3Xz4/iHOZfcSShviErirSkLNz2yCiJl+gC26OIp932zkX2bt73fi1pOsVK9yDCXNhtGn BN6J6Y9FL8L3YR3HrpQJIlGpQmU67VQY2OXxz2dTE5Nh9pX4S+ujiYXLCa4LuV/sie/hvuWk 0Z5xoehucS1uvDSkf4OjHIavUXHL7FW0oRnZevhtaqZI1QKD+Yash10uOanYegflIHdjtNm7 p8/Pj5P8/fGv04uOtmZFWBsYV510YVmxaQJ1f6oAdZt56+4XxPTiCIdRFxC7Tok7K20hhVPk xwTzD6DaB3W6nJTfcbcvjeCvQwO21hcsl88NNGdHaaCS1zpHZsPzqfe0scvfcf5bor7Jshi1 N6jiUSq2HwyybIO0p6nbgJIZOLiDynvViDyuplddGFdo4kenzE76MBhXhHIf1heDu+mAHXVX Eq8sAjGniauTbR5HXRmrB4qHuFJVJWNM3hDjxP0t7xmvMnX468OXJxUVSXqfErcM9Wqra6q2 7jVfFU1W6OBr45Iv1bj7g6E4gh/Oo/beWS+5FbYbA1CzqrlcVL2WfPNhiCL318vdy4/Jy/P7 28OTKdZXIonWXWkk1wuSpopRSUOsgaMJYMRzJiLZStO3UBuX66bKw/IGU1xm1g3YJEnj3IPN 46Zrm8S06moUxpVBMwlaUkz7zRCXKExQp25adDXKCzbWNvYa36qFWXkMd8pZqYo3FgW6XGxQ mJBPUMs0obfbEO6gwC8IaLY2t2XYDfcNA5Y0bUe/Wsytn6xeucfAdouDGy5WLiFYMp+K6hp2 oUeEQIqAdV8HnPF6Bk4Y9+oWXpKXUG2ESmscwz6Paj8L7PrKoyKjXe5RcEapB9Ikmg9C1dNg CsejD9kfPRcl1Dkt4URkSkYoV7I8+Fj6JUt/vEWw/btXflCYDHpVurSJMMWJHihMNfgIa3Zt FjgI9Bdzyw3Cj+a66KE+G9jQt257mxAHwAERAGLOYtJbksx5RBxvPfSFB26MhN7N0pNLEDfg KkYH0iItUFB75KBYqpmlMwgNgS+QizWvtT1pJEPPnDrG1czBuj21bA/wIGPBm9qAE1O7efbW RZgA45UcuhLEQwmjzmAwMQuEBsOOcD7pMWbOgYp2g0emQJdAY7Q/mew9LQL6i9maeUpDTQz8 cvAFkKt4I98rYj+MVqS3mELIABRVlFBrfMQJblmZkBirGImtirdJTVy4NgXeLBz/poI4f0mi y+9ET9LDZpwGROLW32czq4iL77OlU0aJVm0snfc0RBIBfc5tEpMAX+53y+9rp3BoBK/E6fud 2z1wCGbz72yUcYmfTb/PyKjU6HmassfCMOc1Li2R5MxyKGGlUpF5QMm05tKMDsj/BwsBlL4C 2wEA --vtzGhvizbBRQ85DL--