From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 3D72EC433F5 for ; Thu, 9 Sep 2021 19:49:54 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 1C1D66113E for ; Thu, 9 Sep 2021 19:49:54 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1344398AbhIITvC (ORCPT ); Thu, 9 Sep 2021 15:51:02 -0400 Received: from mga01.intel.com ([192.55.52.88]:59485 "EHLO mga01.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1343904AbhIITvA (ORCPT ); Thu, 9 Sep 2021 15:51:00 -0400 X-IronPort-AV: E=McAfee;i="6200,9189,10102"; a="243207734" X-IronPort-AV: E=Sophos;i="5.85,281,1624345200"; d="gz'50?scan'50,208,50";a="243207734" Received: from fmsmga004.fm.intel.com ([10.253.24.48]) by fmsmga101.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 09 Sep 2021 12:49:50 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.85,281,1624345200"; d="gz'50?scan'50,208,50";a="525678251" Received: from lkp-server01.sh.intel.com (HELO 730d49888f40) ([10.239.97.150]) by fmsmga004.fm.intel.com with ESMTP; 09 Sep 2021 12:49:49 -0700 Received: from kbuild by 730d49888f40 with local (Exim 4.92) (envelope-from ) id 1mOQ3Q-0003Tb-CR; Thu, 09 Sep 2021 19:49:48 +0000 Date: Fri, 10 Sep 2021 03:48:50 +0800 From: kernel test robot To: Megha Dey Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org Subject: [meghadey-crypto:d_msix_one 6/8] kernel/irq/msi.c:122:27: error: implicit declaration of function 'pci_msix_vec_count' Message-ID: <202109100344.mAZ6C5Tu-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="r5Pyd7+fXNt84Ff3" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --r5Pyd7+fXNt84Ff3 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://github.com/meghadey/crypto d_msix_one head: fa7e3d01a9b3e08be49c417733dfc030ca6f1b80 commit: fecb2c96796ae216252f783daef6fe56efab40d7 [6/8] PCI/MSI: Enable dynamic allocation of MSI-X vectors config: arm-buildonly-randconfig-r006-20210908 (attached as .config) compiler: arm-linux-gnueabi-gcc (GCC) 11.2.0 reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/meghadey/crypto/commit/fecb2c96796ae216252f783daef6fe56efab40d7 git remote add meghadey-crypto https://github.com/meghadey/crypto git fetch --no-tags meghadey-crypto d_msix_one git checkout fecb2c96796ae216252f783daef6fe56efab40d7 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-11.2.0 make.cross ARCH=arm If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): kernel/irq/msi.c: In function 'msi_populate_sysfs': >> kernel/irq/msi.c:122:27: error: implicit declaration of function 'pci_msix_vec_count' [-Werror=implicit-function-declaration] 122 | num_msi = pci_msix_vec_count(to_pci_dev(dev)); | ^~~~~~~~~~~~~~~~~~ cc1: all warnings being treated as errors vim +/pci_msix_vec_count +122 kernel/irq/msi.c 96 97 /** 98 * msi_populate_sysfs - Populate msi_irqs sysfs entries for devices 99 * @dev: The device(PCI, platform etc) who will get sysfs entries 100 * 101 * Return attribute_group ** so that specific bus MSI can save it to 102 * somewhere during initilizing msi irqs. If devices has no MSI irq, 103 * return NULL; if it fails to populate sysfs, return ERR_PTR 104 */ 105 const struct attribute_group **msi_populate_sysfs(struct device *dev) 106 { 107 const struct attribute_group **msi_irq_groups; 108 struct attribute **msi_attrs, *msi_attr; 109 struct device_attribute *msi_dev_attr; 110 struct attribute_group *msi_irq_group; 111 struct msi_desc *entry; 112 int ret = -ENOMEM; 113 int num_msi = 0; 114 int count = 0; 115 int i; 116 117 entry = first_msi_entry(dev); 118 if (IS_ENABLED(CONFIG_PCI_MSI) && entry->msi_attrib.is_msix) { 119 /* Since msi-x vectors can be allocated multiple times, 120 * allocate maximum no. of vectors supported by the device 121 */ > 122 num_msi = pci_msix_vec_count(to_pci_dev(dev)); 123 } else { 124 /* Determine how many msi entries we have */ 125 for_each_msi_entry(entry, dev) 126 num_msi += entry->nvec_used; 127 } 128 129 if (!num_msi) 130 return NULL; 131 132 /* Dynamically create the MSI attributes for the device */ 133 msi_attrs = kcalloc(num_msi + 1, sizeof(void *), GFP_KERNEL); 134 if (!msi_attrs) 135 return ERR_PTR(-ENOMEM); 136 137 for_each_msi_entry(entry, dev) { 138 for (i = 0; i < entry->nvec_used; i++) { 139 msi_dev_attr = kzalloc(sizeof(*msi_dev_attr), GFP_KERNEL); 140 if (!msi_dev_attr) 141 goto error_attrs; 142 msi_attrs[count] = &msi_dev_attr->attr; 143 144 sysfs_attr_init(&msi_dev_attr->attr); 145 msi_dev_attr->attr.name = kasprintf(GFP_KERNEL, "%d", 146 entry->irq + i); 147 if (!msi_dev_attr->attr.name) 148 goto error_attrs; 149 msi_dev_attr->attr.mode = 0444; 150 msi_dev_attr->show = msi_mode_show; 151 ++count; 152 } 153 } 154 155 msi_irq_group = kzalloc(sizeof(*msi_irq_group), GFP_KERNEL); 156 if (!msi_irq_group) 157 goto error_attrs; 158 msi_irq_group->name = "msi_irqs"; 159 msi_irq_group->attrs = msi_attrs; 160 161 msi_irq_groups = kcalloc(2, sizeof(void *), GFP_KERNEL); 162 if (!msi_irq_groups) 163 goto error_irq_group; 164 msi_irq_groups[0] = msi_irq_group; 165 166 ret = sysfs_create_groups(&dev->kobj, msi_irq_groups); 167 if (ret) 168 goto error_irq_groups; 169 170 return msi_irq_groups; 171 172 error_irq_groups: 173 kfree(msi_irq_groups); 174 error_irq_group: 175 kfree(msi_irq_group); 176 error_attrs: 177 count = 0; 178 msi_attr = msi_attrs[count]; 179 while (msi_attr) { 180 msi_dev_attr = container_of(msi_attr, struct device_attribute, attr); 181 kfree(msi_attr->name); 182 kfree(msi_dev_attr); 183 ++count; 184 msi_attr = msi_attrs[count]; 185 } 186 kfree(msi_attrs); 187 return ERR_PTR(ret); 188 } 189 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --r5Pyd7+fXNt84Ff3 Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICCZbOmEAAy5jb25maWcAnDxdc9u2su/9FZx05s45D2kk2U7iueMHkAQlRCTBEKQk+4Wj 2IyjObbkI8lt8+/vLsAPAATdzO1DW+0ugAWw2G/6999+98jr+fC8Pe/ut09PP73Hel8ft+f6 wfu+e6r/1wu5l/LCoyEr/gDieLd//fvD9vjsXf0xvfxj4i3r475+8oLD/vvu8RVG7g77337/ LeBpxOZVEFQrmgvG06qgm+LmHYx8/4RzvH/cv9bbb7v3j/f33r/mQfBvbzr9Y/bH5J02lokK MDc/W9C8n+9mOp3MJpOOOCbpvMN1YCLkHGnZzwGglmx28amfIQ6R1I/CnhRAblINMdHYXcDc RCTVnBe8n8VCVLwssrJw4lkas5QOUCmvspxHLKZVlFakKHKNhKeiyMug4LnooSz/Wq15vuwh fsnisGAJrQriw0SC58gDXNXv3lze+ZN3qs+vL/3l+Tlf0rSCuxNJps2dsqKi6aoiORwFS1hx czHr2Uky5LOgQtvimuY515iOeUDi9gTfvTN4rASJCw24ICtaLWme0ria3zGNER0T3yXEjdnc jY3gY4jLHmEu/LtngnFVb3fy9oczHt4Av7l7CwscvI2+1NENMqQRKeNC3oJ2Si14wUWRkoTe vPvX/rCv//2un1bcihXLAueSa1IEi+prSUvqxAc5F6JKaMLzWxRAEiwcvJWCxsy3TpXkMDMp QX8AA3DtcSt1IKPe6fXb6efpXD/3UjenKc1ZIEUYpN7XnoOOEgu+HsdUMV3R2I1n6RcaFCh5 GqN5CChRiXWVU0HT0D00WOjyh5CQJ4SlJkywxEVULRjN8TRuTWxEREE569HAThrGVH/PLROJ YDhmFDHgR03VcmAMlWvzPKBhVSxySkKWzt3bDqlfziMhH0C9f/AO363Lcw1KQBxZu5XhvAHo gCVcUlqIViCK3XN9PLlkomDBEvQQhavVtAqoxcUdapxE3mUnrADMYA0essAhpGoUA670MRLq FP0Fmy9QKCpUnrkwaZrTGHDeabQssp4DBVD1hXW6F366doxU/XvRgGpox10Dqki8JrcCzsix Y6Qp0yxnq05N8CjSb9Nkoh2X5ZQmWQFnkxpn1cJXPC7TguS3znNrqHSc3HCQlR+K7ek/3hkO zdsCA6fz9nzytvf3h9f9ebd/tO4dBlQkCDispSS0W2LF8sJCo3w5jgAFUho/90S+CFHXBBSU HFAU7g0J5rz8X9hQZx2BVyZ4TBr1Iw8kD0pPuGQ+va0Ap/MJPyu6AeEuHHsUilgfboGIWAo5 R/MIHagBqAypC17kJKAde81JmDvp2WZL9T+ui1kuQPOgrnvunQP0BED8FywqbqafenFkabEE 9yCiNs2FLnaSiqUh3TjWa9WPCBag96QSau9B3P+oH16f6qP3vd6eX4/1SYKbvTmwmnmc57zM hFNs0BqLDE5LONgBLoJlxoFlVDHgwxkPTTFJyoLL+V13fisiAa8aHltAChoaoy1ctZo5Zshp TDSD5MdLGLKS7kWuWUH5myQwoeAl2AzN9chDyy8DgA+AmSG54cBZ6jG6iyYJufX70vh9JwqN M5/zolL/bzjOPIMHz+4o2ji0B/CfhKSBccA2mYD/cbAITinPMzBl4CflqaXQSxZOP/Yw9Tz1 RSSBY1ZpIMFl0oyjmNMigfc1VP3qMgfgSNlXQztzwTYOY2W8Dz0uMDQhjSM4zNx1Cj4RcEql sXwJUZ31s8qYdhoZN3bB5imJ9RBL8qkDpEsQmYK8AMfT+bYI4y6dwqsytzQ8CVcM2G8O0HUw sIZP8pzp97FE2ttEDCGVcQ0dVJ4RPqmCrTTHFW9ZGl59p9IxxvCuXxn4SwN5/trcgR585YJq Lpx0zCwYTEbDkIaWmOILqDp/qxUGBAJz1SqBHXDNIGTBdHLZasYmxs/q4/fD8Xm7v689+me9 BxtHQDkGaOXA/elNl7lWdweKW3tNp039xRU1VyBRC1bSvA/8tFaS4tJXbLh0MYSupICod2kI X0x8l+KFmUwy7iYjPtxvPqet62XPXUXgJ8VMgAGAp8yTsUk6MoxVwIhZL6SMInDzMwILyVMl YEvc9qKgSRWSgmAGg0UsaH0RzYJiqgHej2O8NPvSXhnRgJlA6AU80aU9kcIu0OgZIQpiwoRI mWDgzJdDlATDxkB9JHDJN5+1/VSizDKeF/AkMxAC0KrEDu5Q/MG7Q/fLiB4Yx4FVQrQHJiC2 XSrvppnYSFsswZ4OERFoXEry+BZ+43MehjuLNYU4ohgiQB0xPwf7DAJiWGKpHrq9lTIUFubR ZDJqzxZwCOgKa3ujYO4TCNJRFy6Giyql3973XGWEZMgsbmaNNySdOK/4+VL3D9u6HJg/gcOr 8hQsPsT3VQL3+vktPNncTK80rSxJ0A5mcGtood1qHslodn2x2YzjI/AD/JyFc3cGQ9LAhV/M 3piDbbLLt9YI+eqN2bONOxkkkflI5kVdM5lOJxPHe1PYi2AGbBnmDOEQ02dTl4mHs9QGqevc Pp9e949eA/bEITiBr/7ycjgCMw2NhtNSuBCzSMx0ovlXHdDw8nqwy+HpsJeumS5nLuDGOf3l hUu3KfYrkYS9T68Y9/zD9vigbUq+DZLEVXJ1PZkMThbMuDsGVDZ7en05caLltOmF6yYlihdc 0w0S9LUwT1bdOGzBBEvaIkD1nyTSRTEXXeUgQMa62v5n/f7NUV/YyuXpSZwaejFYqeHNFUvo +OHAlSgSl+PViES1KUhcTWcT+Y+mkA30x+sL+DEx7vdyMrY/kpY+czp7ElvgWLryrWMGLcZM IVX3SjcBh1C1anDmUuB15+NL5ZuLT9Mr+5btt6CODvYKgt5gtF2O3mJK+fT600UFenwyG5fL fDO9vpo43a03tYOpVkgiSulaG2olODw/H/be4QXLP6dWofgHWKiHtbtUU8Dxk7kw7rmaZ2Cv ZLDc11UQTsLAJMQQtRS+THcPMevQAUyJntVtmUBMtk4scQMtYgAVX93WB+dmbV9uPjse7uvT 6XC0bKjMV+XJ9WxSmApPAj9awGJRJj44CRmaaBN1MfvzshiArqxJfXBw6MombMBXxRcTnklE TOckuDUxAYgQ+OyX68IJZysbzrNbJPet/cS+hDKLOpteDSGmv4FQ9BFVLrvLGvfnHPVpG81J kidoWxGm2A6ZwHMdsVWhQeTadg7BRgj/9nV/VjpfSwz5qgWNMyOPPwJGPuNpM6nKaV1pUqa5 YupdvWKuubXdfRZXA+txW6Sns7p4SWQxK6qLuVNh9GhMkDjOpyWYmQnZBjp1xQ4yOOFRJGhx M/n7s9LzfaUWNWKay6d2czXtCoqLO/SuIdyZGAl+t7sEiJlpzhFiK70edTEZRV2No2xL22Fu tII0oUQKeTeQw+8mxhytM1h5Dt3tWbc1nIwYsROc2ppA3Ctde7CQi3JO4ZGZspXwsMTwMNaD f1n7QZe8uuNgQiCqzG+m025YG2xhzKfFRyUJZJp8zYoFhjpBpimKjOTEjERaiDP7bgb7UZ9X HbUd+P65VlKxbIiW7MSFk0qVxnuCO5ktzHmi2hEmf0+GGF8IHYHnR7KMpiHMGhbWySIDCG1u 1vQkB+gqSEKs8EM0jwvBijHH7LfT8x8fDawbJcoGjjnZbvUNy5pCsmPyJd3QwOAVz1EGySPl XyIg+ikTVw4a89PVHSa9wtBwTGnkLpgYV9vWhLzs8Fd99JLtfvtYP9f7LipBXHSs//ta7+9/ eqf77ZNRIsLHEeV6AqyFVHO+ks0SFWocN7orHtpIURDXmLZ+hmPHcspOWr4GhU9GokfnELQU 0hX69SEcZBT4CX99BOBgmZVMV45onu6s/mm/o/t0EXa76+s+Br7dCqDdK41x3snMd1tmvIfj 7k+Vp9SnVGfisnH4BEWQsZaqZxUxfh4kAt4mWQk3QUJDBqpo2S2yWJsEX0H6dKShWODFZT7N 81ttfUu5tK5qgx7dQaLP0GC+8px91fjWq5mO59adKnt4qq0DlLX0scpoM0CHDB66nC96Omyx Vuq9HHb7s1c/vz61vWQST87eU709geLY1z3We34F0Lca1n2q78/1Q68YVlGmG5nR+ZUTKXl6 7njSLE+fZC0FWgF3bdhlt0fykU1iT06G1RrBDO9SpRgY3H0qB+ok3W5G+VVnuTs+/7U91l7Y Sbw6wzxpncngsD8fD0+yXN1fhccwr/59e1+jW30+3B+eTGdaChOYiYIHPDalWaJkrhUchlSY CVKTIBHzgSwjshsIXgmLfe4q4DqI0b9g3LGY1EZ9S0x3ev+vcxhohbFjyKyFNQ0WsTxZk5yi 45QQlzEtyjxnAhy2TZWvi0Qf7AfJ5Sd47ukKPBunFM45n2OPYLOKk4YlmyoUrqURI/RKfwOo srCNtYr68bj1vrfipRSqHoKMEHSP0BZMUwgC0HaFq6KHPZtRBuFFLqoog+Bv0Lq4Pd7/2J1B BYAH+f6hfoEFzWdseDJWhQ29IQsGLkMV6YFbl3/vOP4C7lAVE9/pYUHUNMzYw8NGBxbbHMEH BkdzrXvWy5wOxqi+RDd0jNyxtISniRZ0qwoHy79GMXp+g4pG37onKRecLy0k1mXgd8HmJS8d rWoCTgctQ9NcNiSQSKwP42GXma0B4c7B3ShYdNu2HAwJlpRmdqdCh8QrVB2Lzm1JrpoAoVov WCHLa9Y8FzOfyW6pyj6bnMKxgYOiCkZVExURvfit6IzibF+KxfEuuEwQqDnR33ax3gueKxBk WYDBDxZYmwZbxxSCBhhTvIECLRIXRm+Cc4jkFDUhxQ5k/XmYGFdXBYQNTWuZPiPKFAQ4Uu6W RkuiRI/0fFlU7n4vnQJC4ma/GQ2wDqple2W0LORbxX6IfHDQKF4SI0u27M7ew7D0ZRHQDYiV /TAcoz4P77d13wuehXydqgExueVGT3kMB1v5cIJgCEJtdY4N1mzeuB8XAwQJ7HJwE3uql4Bn OuLapxwCPjhHhjmDKLIVH/bZ8JTEbXdzvt643mwBmqEwaTSJspBjBTNtpibzYaz2BqobLouq IKCh3laO9V+9zcDeo7yfN5uFVJ0wSqsViVlnVucBX73/tj3VD95/VC7k5Xj4vjMDXSRq9u7g V2LbjwRUb0pfnX9jeoM7/Lwii8u5yq72bkUPdrr5v2iD26XQvcNGId1Ayb4ZgQ0hfeK/uR/B ZKoq0ePx5oXqTDbUKqmFWRVXKUbRlCni7dmaoQ5ko0fFYITIg/brFqMdqOfcBVMLOXhHHMwz iGbDg/z9/XB8rM/e+eCddo97D2O03RHu9PmAfYkn76/d+QcEbMfdy/n0AUne4xc8RrWoX0cs yNTpH5o0s9nlr1BdOfvbDJqLz5cjWwbklbuc2NOAiC9u3p1+bGGad4NZUEXlaH7RnIxP1JHZ X3PY+JHPNmwy7EN8ixAbcdZVwiB8S7U+UPCrZU+Hm1HpumFnB+z3w+nbbv8B7hfe67f6nSX9 YCEpijpflsZufFRTTic6nWp53FR9bAT2D1xRlPpgaemVvrGmACMXVBBVODQPnHnF4RnEJMtw n5gFxNNR2Z1Gw9G/6/vX8/bbUy0/K/NkV9fZCK99lkZJgWbV1XvYIasozHRjDaDAapttiEWQ M2ftomO9IQQXWNMt/wTEz55WGX4AlclPo9DNcROCSR0g7pzzwhPIaeheE+RH2y7utfELO/07 drjydJP6+XD8qce2g5gIlzWaluQBoW8tWxNNyWi+AdK72FuzKks/WSGtJHgE4uZa/mON9PFZ OFwM6XiMlY1yipJoeHEJm+cWByocqdpWxv6DKuFKz7SOlHSgEngEMn99Obn+2FLISh545dK/ WSYGyzElqazXudwh6TT0tBApDZoOh9jI3bOIeNn9614ILosScdN1yd9lnGum6M4vNSG8u4iU UHaz34lhF6YVp8nGtoqB4BmNcvJeZAyHIaSWNQjbRsShBw9nKYtZBTE7Q+dlJr8YHJq+7Xnr kXss8HrJYb87H47KKeqbSkliik33LMbGtvjxl9HPnlIHT/Wfu3s9t9ZuLgjA19YzNlmQBIwM JsiC9/fb44P37bh7eKy77Jx0o3b3zcQeH9S+lOepiseaItfBjeHQPgtcFUkWWW24CgZ2BHxY V0NOAWENiY3QDCyeXKbLYMlvNVv13uV1ng7bB5kRalXLulIVrn6mDiSFJMTPODRtvgGh6RbR NtKP0irorkk1dBWBaPuGeu7pWitu5IitbbSjmrhrpWvfVlVKG+/GjUGxCzrM2cps42rgdJVT tyJQBPhMmtGgFRPuLLVIIiKbyRtS9SXls/22ZSBdQihpfmgpOPaIag5vTufG41e/KzYLBjAR swTHPlvw9XRAmiR62radU/9GEZNMjXEEOYmsEwNkRNNAaRp3CWLkUXVtFA/yMVstIywtKBoX nlexofXbms+cCR8ofec9+cW0ItkbuA1zXNmCCRYz+FHFmXaoyErc9KVWVCs+y+IR9ZnWNbmi G+WYqt+a1Iu4Stob7ZPRClqSjLWunsslXTBTFBqAEkf99ejHqan2VDg93cLQlPBTCq0YKsvt 8byTpZ6X7fFkle9wGMk/Yb7L7U8D3g+SjxfY0IU02jYA1dbTFepZR/GogxqrtXCZjb+efB5Z tCOD+ZfYpJ5aS8sMXQ6hAOjAAsyntQwB9TzYlEHRTFDk7nZlJMGHk8Elvz0RvC3Z+uCgaotN gyuQd1CesIzXBJ/4WUZx3O5PTV0u3v40jKM8FJ4NzhNXZejFyYZ1UZi9EOr7SJJ8yHnyIXra nn549z92L1olV7/NiNmzf6EhDaRuG7kn0IOdajRGwmT4zVCTthqTLdRXPkmX1ZqFxaKamnds YWdvYi8t0YT12dQBmzlgqCOwneXZxpAkFMOHhhiw8a6P8Vp0WbDYnA5uwQJwC0B8gd9maLXk N25OxSbblxetMI+Bi6LaSq/Nul4w2LBLPDeMM+33tLgVaKGeHcC+N8eBg4PItX40F0lMtT/z oSPw+uTt3cwsqW4IeDT+fhsS2VqKkcf4Mw6uZpMgdJXsEA0uqqQYqFNxdeXsU5OrQ/CmbrR3 h//hMlS/b/30/f39YX/e7vb1gwdTNSrf/SRFBsFDJRJm3ouI27WNAxkra8rXUoQWWvniu9N/ 3vP9+wAZHXPMcXzIg/lFz4UfLNRfTqmSm+nlEFrcXPYn88+blrxgg7G5KEJUXdG2IilNx/p0 1GNbVzaByqMEAXD1CHxoDaD2ilT/kzk6FLsI8fsBM452E8CtGTG0TeabfwGkT0Y4OGxx8oTk PuIMJf5/1H9nEBEl3rMKx5xyJMlMGfrK0oi7dbeatEpXiZPDf17bnK702ehFLW4hzgBvyJVe KLRb0HsWOf41BlY0fyGn7w+NMJjAdj/XbIDFNA2m/IyZVHDuRC25/8VaILxNScJcwT6urhJ3 xhyGM84j+cdR8hXaaj1fpBA8XlFrPZUXvHWsp2pd+ElcU/uURUuzBt0Cni0AELtgEDZGXGdA Q4F/i38RxJleUkRk8/nzp+uPw4mns8+XA56qlEs2mvgXRI1qX1P1Aq/Dlcnbne4dQUd4Nbva VGGm/3kTDSgDrY4ziCeTW+tvuQTi+mImLieay4BJvbgSevYQgqWYixLCd7xGFuglmP+j7Eq6 5MZx9F/xsftQUxK1H+agkBQRKksRsqjIlH3Ry7Zzuvza27PT3Z5/PwCphQuoqDk4nYkPJEGK BEESBKU32rWG9VTTqENKABikxrjCthTTlTxLPZY3igld84ZlnqecL0qKmKaWRWZ14deew0TV MJiq1CIX6HD2k4SawxYGUXjmaceE57aIg4i+CFNyP05piBvzy0we8SrsOPHyWCkNias1+PG6 eovXUBQfRjb3WKmtK9BPreaqv3wIgYgbSESZM2pew5jJbT7GaRKp7TUjWVCM1EnMDIOlMqXZ uav4aGVaVb7nhdqusi787P/z6+nHq/rLj5fvPz+L69g//nzCM6gXNP2R79Un1PwfoJd//Ia/ 6s5B/+/U2zYLrAxyNNY6xS6tirM24IVvOjXGH7r8UmvT2UwSWxDkLKENVGn7FLxeJn5r8kUQ D2bUFqQSyMhXVVW98oMsfPW348fvz4/w7+9ULznWffVYm45cSwSmvUxkMV++/XyxJd5cwS7d zd7ePD99/yA2werfr68wiXp1C5Wosk2Ef6JKfH0o9eGL9KY+dJw615Mw2DhmTvNXhlR2bkDE i8L00JWp+2IyCjQ5ul2Jrg3MFHnHO7t0fruE9Z3chSVP538zGu6Ut5U+1y2U6QJme6ps1C30 Rhuc1EdaOwb12eV3h+H29P4Flu3bDLRWYhioeRoFzxuxlantAokwIpVikzWdMJ2vqitr10E6 ZVLoWiIgmKCKu4UYlUAdoxIRw1RsPtP+jMgExdR4sIoiHXNSBwg+XhvScF4frSJFMLzySh/X SKHQv/N6pE4qBf66gLlLt59zWAvhvTBABAvAROoLWKPo46myGU015z0VIkxP15pVWnDZ5Tbf VFn+YdjyVdMdrDbc4PPj7OikzbILUYZwqa+uGC0b4yEPA9rpYOPZuYG/MUmH33s5tePUX05U K29MfGgDZUdlA1qwZy90fduBOl3f8Gp8e7lqG10bht93NzFYFHzQneJWrCiGXvNjW5Gx7s6g ORUTsXrQLPShgH+d6wN29JcTiWp653DG0DCdij6ibDSVRdiim3gqBOu4+lKpx7gqerk9XAf9 SyD8ADLj4m+kdNaSng9B8K5joZ3zgugHGGDqNW9xa7tocq4Yswtd/aQr75VSAkvD9jc+KNe8 VA1u62I5Z7PCNi40KbFVDlcMWHk5XnWyuc8laCJejKqFgdjexsVGbX9+egFj6/kXSIKFi50U SgI875BzHGTZNNXlVFmZytubSjNtdPhJacsZb4YiDLyYStoVeRaFVJwLneOXLU0Hi5mhb6hc +8qh3hneFlcS75TbNmPRNaW2ibbXmnop8xklnr45yuCtnHLXjpF/+ufX7x9f/vz8w/gyzel6 0ONCLuSuICepFc1V6Y0y1nJXa0O/eKxWph6jc8mWTiV6sbxg8Q88FZq3FP/2+euPl0//++r5 8z+eP3wAw//3meu3r19+w73Gv5v1GjStJmhiHtP7eD5kvk3BuEnC1RaX/niTNW+MrMaxzs1G OxQtS4PI0WiAwmzZXws9JyS/vl5yY5TK00KzhALVBg4URxll/gBdr9bzKiuMnSZO3s0NRQMW tXZlvbEtAXf0ipT1qS6ujRqrGclVWz0wnVPOcpHORw1/oTKWmMV/uJzBZSc6nRvQnKpZKema 3YZzRnvSC8bJvumkntRKx4g/DnsC4T/ehUlKX/RG+HXVwgB3wrBeYJQtIBSEMCB0lTTE0Tha 2mhIYuZUbw8xmEOjXtl25HrGs9WoE6/YT7jZHlfj2pEOPrrUHSgKR4/pLlaNjDhICiL3mIra lErQT9WFOhhHvK9r68v2rwNqRpG3EmTYH3viXAIZaVXgZ1i5H+rGmM943Q6Vmb7rDd3DB7P6 wqY8Uvs6G5qYtYEFZgzrCvboagL+9vLmBmZ5bxYnXBUciQQ2HTotfDvQbxcwGGvdm0KlT65J A92d80E2lZbysaWcBxCRG2gm/9jQB14S67LRZS30Rd7/9+pVCvbTl6dPON/8DrMlTDVPH56+ CaPKPEYQHXPdUBbJry9/yml6TqtMVdo2CQ45OdU7RT5y13dbLydqsyw5o+rd5HYwuiPqdavb yClObtU5Oo5gwdMGPHWwJw50KjIjfhIsaC44ZxVkWLxLlFoShk9ABxjgHX3GwmGtSg1ydUKA PzSDWO5iwQd5L+92ftL6wVUc+or0G+Onj7gduTFhlmg4K6cBnbr50W3uL9JJpeNLJrZ9hNxF I67FvBZrZS3XBbIPOzZsnlbXouY3Or5+V0uT6NCBIF/f/4sQY+gmP0pTGfR4vY+zjqUvwoG4 O79t6oO4DnupBnxCAk+qxRqfD3mLJ+/iBsLz8ysYPTDcPgjPEBiDotgf/6Vu+NrSrMLMlvm2 /zU7pM3AJAMqK01eX3DRQvGjKX68XYT/sJ4Cf6OLkIDhWkdY/Nt+8SxXzoOEUVt8K8PYMS/T vEAXBGxS+JD0hYqVqXVcMJ/xQ+unKbXaXhjKPI28qbt1JSUDWCx+SurWhaMtOhZwL9XnThO1 EbCJX4vnEYhS8f6DGSLAZBn9yKPttIWlq9HX/kyf4i3ZDO1xpEQACcC8oJXPwnMtquZKTWNr 7esCqgmVnLgYklYjgAGlHTIsUtGOGCucqPHuVmpGUc3lj06fTiFV/gJSqxqTJ6YyEIsi32FH a0zkyknhQFc8W3oB+ESvEgBzAZELiJmjFgBRLnt6cXFKpRbLPte6bWEq3p4usLrTVNWCmcpJ 0qQHEFXghbOJ3jVRU5NFHaq+UUOSqdqL6FSSfTqcwmIgJZHrix1JwOS3swUii8jRiEiyq4V4 S0jfvUm9OFSmSBVICaDu3oSen9lZ1XNWNJDQQOz5ZM8AYVPG4t3BgTxxTK80VZ7sHk/ZAkuy 13TI4Ud2Y2D2Y0IqCFEyGbNV44gC6mMKKLlf/Szbn/okz10hMmLQvyl46JE1EytLzg+wtmrv qH9eJP7u1AoMLKU0dZFCwpHU/GVrfHWbIQ2Jj8XLMYqIotrYF5ES7ZIAYdF+BdvUJ3fqFQYW eYQwLeh1ouJNl3OO+y6LEdmDYfrj6cerbx+/vH/5/sleha3WAthiPCcUIsfr0YThIekTPe0C iAagU5NiSrGFtafBgKdP8yTJMqLdN5RQDUpSopFWNCH00JbUcwkuYUcMQ4KRPmGzpdmbB7fs gj2Z/T0wJrupgv/VGsVkjGuLje0Jk95p3uSvCpP/RUZHgGiTL8ipfaJ1lLzLfUpuoNOOCBvD ie2vYzZBSf8qm21vUIR7bR8Gu00f7jXAxlXsf8Cw+ovdPnRce7cZD/uM/bvLvX7JzwnznLVH NL5XecHk0BuAQf47GGkEL2jwF4pOosSdfeoc3wLdm8dnpiB3flQhPxXk3WJy6GN+HgN1O8o1 M1lTiRLk2YDkicfe9GnH6Veg2OXXsPJ0PTr7Z+m+wTB7LNjJ5bYzy+4lPoaiRzkySMJ9S27m iu8Wc5Yjn4Lazg8o42bGqF431FN9XV7IsIRa9q0tZ7b2+cPHp+H5X26LpMK3t1r1RaTV2nQQ pwdC3SG9vWohxFSoy/uaU5K3A0u8PUUijodIJSKQvc/QDqlsZyJp6rPdRQSI5ZPVjJOYWlsA PSF7FSLZflFQDbKo1I+JnoD0xNEgYIcHu70XWbL9uVOw7BvSwBLEd1mi/QXVEAdZoqooZ1+1 kqIvCbHehkVQ0vjEwBJARmqNoe0ekmR3e6p6c6vxjZr6ZoaIkPG6bnzA07vOeGoG/tYeg50J wpMcb6nPTwcrob6vR8O+X5LU/Rv95VW5X2szy0AJBg0d5QjS9OAbVOtVREFdrz6r4TQ+P337 9vzhldgNslSKSJbghV1xwfmzRp99GvQy1l299fsoZLnZSPY2yTWcE0oNSOmVMLLVqO3OCnzx XHBnjxzjicv9rx026ezgkqOAPmsEDpb0puOJ75NPNSJePubdwZK6quVRrCtV1VoFHQf8z/Op nq5+ffWYW8/h1Ds2/2TX15wUJKl5LA1Sfe0MSnM91cWD2enmfXpLBqAHjNyJE3B7SGOe2Mna 6vKOVvgS7opU8zKQVOGYYBJHU1T0RjAb2/QyUDHch1k/oJWS9h2QXblQD+QkqTRHEnUMsbze kUclA612PdxcRfD6WD/YnZTXZChaiV3wnA6UhKmJut78+KD3pvFRfeNr0VmF6v4oiOLk3hJE UP2UttAkBw9Tx8sFAqcsJRV/qFGYobba77EosyB0NsOIw2fihr5fDv8NYmN/nnfVg3ts5W05 HYuzOZbKIWBhMOpzqFM9r45pgvr869vTlw/GSf98F7eLopTaHZnhS2fOG4/T4gaoDYx8TAJy Zt1gZg06STUe+RYjA70cg9EeMZKOKdyfXTA5NjlmhmMaJfQCRXasri5Y6u9kAV0vM7ue4gxg NLucTY+l/Tm01u7rd+hXZ01bZeJFzPmRAPZTP6KS+ameTGco88yLqCOs8wBKizA4pIeYpb2D TF38zMQ0CUajD6+mnN11wM529h3esLToGlt9DkUQpZlzlA4dh1zT2GoYATB/p2UER7b7/SUH bV1LHSL2kckeQvQE0UMePn5/+fn0ac/Syk8nUL8YrcVsXJgLbraqoW4PzFKQpS15igA2Qij/ t/98nH132qcf+tunj/4cx2IqOQtTZWGzITiJfqYS+OqjUxug97uNzk+16r5LiKWKyz89/ftZ l3T2DTpXvWYwrQinH6RZcayiF2l1UYBUk1kFJgx8O0dmsktFHp/a/NFziR3Zs4AWKHVKGnhO ORwXVnQees2p81C6SuWIvJGuT6IeOemA7xI7rTxqe09n8bXVp95JlIWiCGWP975JzwiBYvSg Rt+YUeg7se80tvOjFcltYStzyUqi+MyChc4YKNI0Y5HEtdYSqsiZTgTQkom2u73nvD+hxz4Y CF7sq3rlkA8wHt9OeTGkWRhRJuzCUjwyT5+ZFgQ/Kbn1pzKonUGja31BQ2iFvLBwMtzAUldA lbAL+SW3iEs+hzcsGfXNTwNCj6Kd2i1c5/KNnTvOy4Fn0+H7+omnP8doYNShn8bCfFLq+d1B svGW5gGrCbpCQOmqhaXmHUphdyPRNfXjgQVCU4FcrS0Mpp/9lqf4QrsyN0MQOw4JN5Yi9GNG OYMr0vthlCSUFGUlY75LppgMDqzkIywdujaIZXutK4/324P6yuAMQX8Kfd39RIMyaqipHEzd h1aBRN9UVaAICtzPFawzz+4LCBhnlCoUkyv+dYy2hyBM7EylsZcRCuOU304VfmWWhT4BX5vy WPOzjfRD5AUB1aT9AHqP3hJd5SxYElBb3QvDreC+5zGiecosy6LQlgf94ac88pQmFbPIxin+ BJNPM5UlcXZ9PtfaVoWM5/H0ArYf5Qy+Bp4ok9Cn5liNQbGANnrre8y3w2BIIHIBsQvIHGUE 2gylQn5C6RaFIwPriipuSEbfAYRuwKcEBCBmDkB1UdOBiKzSeSB39VZcOL3ZwvFC7G/ZwFhP x/wiogn36vM+K8P8vpAL6ShE7vBS4g8j+Yr3GgNl8KfuYbCznIEpb6BYbQ9u4Sh5zPZaBqOh UC0gV8H2R+Bd3o9EDz2i41R0pGqHUMqO1HugG0sUJBGnUreFHyRpYM7DZgYDrIZuQz5UZCuc mshPyQjQCgfzeEtJcAKTjDLnFJyRhcpbb7Q9uzCd63PsB/SSeuGpD23uuFmvsHQVvXWzsgzp 3pj/owiZ/VnB/u19xsjIPBg3E0yN3ULlBENPCjpP4rANNa6MGMQSIBSJMGEiQvUgwHyicwuA MbKyCN2vSMgcPk06D217rV0ebCbS9lMZYi8mVaHAfOowSOPQHZxViDypVRgCPwmIz4AhieRZ AZVrHAd3RIrjkBxFAiK3wTSOLHE0Boib7X+StugCj7x+uYanKuIopPIH+4oF6b3P2SegWygT du0UbRxQdW/aZD9ZQmhioJJtAXRqA2KDU2pwwRqZpJJ9D+h7nadpM1qRtI7zeIVhvx2yiAUh MZ4RCCkNIACi8boiTYKYaAgEQpbYWV2GQu6e1Xy49gReDDDYiEZEIEkILQQArPEJhYZApq4j V8C8/LsCPA9o5X3FB31SU+dabOJMICOdU1ojlvSapKWDIarmJ4tj2mRltH13qNCli7rSvnJ0 +dTz2CPsxiPvpuAtlS3MmlNxPHZ0fJPVFOp4xrycOtdeM7rw7gYL/Y533P4KdR9EjJG2OEDx vu4BDv2awgZ0PNKi/a0Ib+IUrCZ6rLHIi6nluDafJqljok1w4/aED5pSnR1YgpSaWXFiiQKP MDTnuYxUr3Km8u7OlsxLgjszBLBErskJpoiUOvBRWcJQ32FSsDQmjwpXjo6lKbEKBHqWROQI qtswIE+2tjEWJ3E4EF+gGyuY/olR8CYK+R++l+aEYuFDV5ZFTFYQprjQC8n7jgpLFMRJZn/c W1FmnkeoUwQYNVjHsqt82gR710DF9j5z94hBKi92aaoHjLE5sDbBcpxmJeaHgROrOX7o1cc0 VzKsREkVBgDb78jAEfy6xxH+2mkAwAtiiPGgICUKCozAt7c4bCsw9ohJr4JVWegRkxoAzPcC qjiAYtz43pO/5UWYtOQ4XbBsrydKpoP0qjOx4oy7aNZ77xrOEqL5EAiICYsPA0etYqdo2zgm hzasYn2WlqnjmHVj40m6qwFyaM2UWrjXl9y4fKwi5C6iwhAwKs+hSIgJaDi3RUQFc207nzJf BJ3sGgLZqy0whNTkgXR6zQFIRB4gLgzLSxm2nA+Dz3xytn5MgyQJ6HMslSf1Kbc0lSPzS7tg ATBCBQmAGG2CTsy2ko66EL03qeYBjgYmPfLFDJ0nVsPNKRAMlTO53SOx6kzHvV+5CD+AmUVY 0zl18rBEZVQOQ2eK8XTzSr5cH41nUVdIRqEUodmm6pIfGvVO9cp17aqLCH2AmXgWbDibbpn3 IswDvpm0JJ4dBx6fXt7/+eHrP191359fPn5+/vrz5dXp67+fv3/5qm8zr3lteUyn64O1Ub1m 6Ip9z6/HYWs69dSxzKJkbG9HMtzlzCQ2AhnR9HKHUAXWjBGKg/0gmoKH7ZUs/UU2uWdyW12O zMfwlrZM6OToxRkp1HzcuyvUHOl5R6h3dd3j8TnVngKAxcZuEYuhsVdIDv2/zKcAw4DaDZBz WC/HHoUMmd+3aFiR8iHM8zajK7hJKNwkwz0BZ1despQsSfaSHofHcvB8SvwlZBPZpR73Mq26 LNDbak0ogr3sJO0uY+h5KSHOHISNQF4HE4xvov9de3wI1k7QX6Ih9lOyZvx2Ge8EnF1Cwu5U g8OEF+DZeT8UZDtIr9C9LMCYYWSHww02V/PKA1p2Z1zV7QhDvSTjQ7Vjcms6RNVWaa9j3g+O NHxAL2ii/WWwK7sG4ozYLAGjs02n8XDYaxTJRda8Kut8qF7fUXNLNL19ttnZe0+S+b60qMZn k9i/y2X1Vh0hrg3YLbSG96K6Yj+Uvn9XPeAdtV2OxYF4t115EfhBRWkBfMlGr6X0sNRp4srD pFUa3+MSw0Tlm0OSmF9/ufRg9jCVIfGC1InX7akrCyfcdlgNz9GBYZ6acubPkq6Jbm2zO8b5 YequnNcHNcI2Vx8fQBZe1tfzVTgvrbzb11MY6M8LDPODgY67Dgd8ctSWA8madYFsQg7uuDQi OOay2tqxC6cyndq8mIqWPlHTGF23ZQ7kQ6xbFNz/+fnlvXi8zPmk0bE0bE2kLE5fmn4AuowZ f+row0uRkgeJejy+0PQtEHFhQnilk4e5IlE+sDTxKOEwEOqN572u/gSCz4Mcm2osyNhxG8+5 KUrFYXUDzCeCjuK1vSjzHDddBQPanX77+OAqEuNnjUYlBE2PSIV08yLcRrN5t8txmjiCHNBH eyue3sFJV6INZVbT87ogLzfjlxaubqOZZLbE6WPSlcGqnjS0d5LoZ08zlY4SgiBe8nh9CDL1 EFDQxd1oGRDEHAcnmCgxkByfTtwlPR70azeQFOJkhHUVUMeMu686PIIsvct7T3KwCIwe99g8 13EISho/iS4VAFE0GgBeD+jEZ1Vrj1QQ3hU4EnOr3/CYUfsyCK6XC7Qkadq1Kf2y24pG5kcQ 5NhzlbS685ntPFt47mSL955FTWOKmgWmZIKehtR4mOE08xIrL3TrNUc+EDOqChg0yN0Thjgg 3W4XUD9dFtRlFerM9DKMlRuFNT11BQ2h/2PsSZrcxnn9K67v8GrmMDVaLFk+zEGWZJtjba3F Vuei6uk4Sdd00nmdTtXLv38AtXEB3d8hiwFQJMEVIJbJonTp2gRB9SEBlX0D+CeyQDHE5XU2 64C0vhuQ3K5PLRJ5jWdwqOb4U0AnQEXcIPRoZ2ISmYONcgK23vjdOzSjFG0myDxS1cxxp/sA prq0J4e7zrOsdyoFGYvMIjqc9Bi8t4oyeSRUzz6ENZiV03VhB2nqKFTP1dlzSKob7YHJZ6bx g2nWqowuwzQLKQUfWoXalie8Fw92ouKz0QDZdHLbZuehXzpUDl80wx2bMgmYWj04RKnlBoTn U49ywoe1qcXhgW/a4Sb/JaL1WzHSgQjVbxGAga3XlbTOzSVdW+6N6QMEvrV+Z35dUtvZuBqN OAsy1xM3Bt6ewd9LAWZyGCwO26S+31HP2MNnfDfYdDv147D5uRr0LutkDzLeuCI65uEhJJ0w 8MozO/LpwDG7nX6vcuiAcZxdmWdbtOHIhDb4qg1oPCluo80nBqDXBh/bEe3aJm+HicBTJuKo oCSuOhdz5LxhX7qsA9t8366KYzb4PZLPPyIJelTKA7QUFmNwCphRh6xt8xjJBdYx14ObNk1O wylqtc91g9cr4xY+BnkVmTR4J6vtAHHa8a1bY3E6hnGIZmCtKtSNluV9omzRXJ3Eb2AKS+b0 67Dtoz/4oqcZVcNaJljkY521uiGOmE3EJJUuWqDFImNR5kxAXd7VKPasS6D1RdqEYkqXhQAd Jtsw5fm92iwxVIQ5zuoS+DbTkXNyKQBX0gO9Xy80KFsHvnDRk1Gq2C1gY8/dUkemQJLDPyX5 6UGcJlGL7TdVKxfo3+m3MYS0QDIJwUTx0bf5ZnltyYqoZc3qk2WQPQ0YzzNhZClSwtmkgZNE 4tiWsbjzLjv3Ye65Hum0rRAFgaEeo8ZoIRnEwZt1DCRnzyUnziA2UgxkdQrytEfPKDTncjY2 HZ9lIYO7gU+mwxBI4Gq5sakGcIxDs4a7or334fEeR2I8cvGmw8WF7jMi/Q1lprbQCP5nJM4T xU8JxeVZqk2zMEsygtt6rWmVg0JFSpMyTSAG1pRRg7Br+PbWEOJVoTJkv1WoSGNvlR/yVU/F kqa5ClFgOTc+ETjvDPSoBBoPTxK/EU1sZRRwzFB5VNow2Lf34az01rZPjlQZBN6WrBUwPrkc svJuszXMvcZ3ZbMTGUfGQpRJvMBc3KPs72WSLbmUyh0La3pBYEiRNakoFGlUbYaA2wedZdFt Lvfth4S29xOIzrCh+4blypGGzE4KFam9FWguGcUZfg2syuxI92BwTKWzlyhUbb3rz0p6wYVE NF9sijY61lGV4AtS07Ccyn4oFJ11MDoKru/UoKCWyLJplg5Kots1Qn0+OcEB46zJo6Bq7hzb XRt632RnUvsolfc3nkP1snayMjR1B5G1fftIr70s2Pjkyhi8WakOzRomqlR6ALlVNIoVcFwg 2hVF3chZnlSSc5Xsdy1tYqXSlpf3ruGjANmfM4M+UyCFjln+e3cRoAocMlKUQrPJKTagQbEN O54BNymviIoR69C6XJkItn1yS9L1XiqOvlVQOjAFa7vvHclUCB6aaGsbts2bEXgkMq7EulnT nCKMrOmMtoU3ywsmlkT5GxaAyu6Yhju2o/RW0ahK1swyOAZjihSV4XmeUxEU/Cn48Prw/cvT I5HIaTAwwVdtOWKECB9ytocpmUgv63pWtmdXuczEYk49+IHv4ayPaylNHsLjsg/bbkrpSvaN k3HH9jpJ9xjGhGgIEp2yekxBKjJwKQ51ZXUDR05ZpMXhHoZlT7/RYxFMb9sDV2Psfob5Jc2N K3F8DI06JFnPLQeGhv1SG2zCYbn6mMHfFLaOjtz1eo4Ad/32+PLx+rp6eV19uT5/h/9h8lHh oR9LDclzN5bly4MzpAZMbdlrZcLkXdk3ILduA1olp9EZ4mHdaibvR1hlVBZ3/P4xTiPKBplP rTCFqcXqEiMpS/06FbAupHSwYhVyDSfMFz58xNjL84GMHcVRMJZy5XPO7KEvVRMpozE+MO9Z FsuDO+YhXbsuTNxIfG1ZsBszCtZap86XEXNm8ZzYIhmG4gdPjLZ7ffr4+Uo3MC61VTthyBSB UlFDyWNMXiOlTkRTS+uf//yhGa4IpAeHZCBsTKbqgef0xUCgqYompBO7CkR1FKYGXh/qSIYP VrDqChPsUQxVYZDQPm7VghwcZaYJOZS6cE6TRdNzbN79YOfh6UPNBGgJZKi6YbJ1DV8fPEJd fyi1fmQ1HQoAcfs67eOoNeJNiUIRV4Z5MqcCjJ9+fH9++LUqH75dn5VZxAm5FpRMBSqQ1G3d f7AsOEIyr/T6vHE9j8zus5TZFUl/ZKibcDbbWObJQtGcbcu+tFmfpz5FE2PyxozC4CjSrU1S Fof9KXa9xiZlnIV0n7CO5f0JGgEnurMLxYg1Etl9mB/6/b21sZx1zBw/dK2Yrp6lDI1J4Z9t ENimuT3S5nmRYn5ya7P9EIVU3X/HrE8bqDdLLE+SNhaa8eGjqS2PxrP8MG7xwBdru4kt7cAb uZqEMbY+bU7wraNrr/2LcRJqRaB9x9gODMY8S5G8OHODWz6PyHgvJK3vbxySR1mYNwxzuId7 y9tcEtGVa6EqUpYlXQ9LFP+btzDyBc2FomI1xr069kWDj0NbWkwSCtQx/oFp1DhesOk9l3TI WQrA32Fd5Czqz+fOtvaWu87psTXoDGjS+5jBWqoyf2NvSR4IJIFjqLDId0Vf7WDKxa5FM2jM rNHXfmz7MX33p6gT9xhSWjqS1nf/tjrRN9FAlb3bSE6kHtq3SwRBaPXwE2T/ZE8aoNDFwpBk 6kxS7OFzNEnCTkW/di/nvX0w9AiEhbJP72CeVXbdGfypNfracjfnTXz57+nXbmOnyfv0rIHZ AiuvbjZ05gsTLT2qRY5hwLq1sw5PJUXRxEXfpDAzL/XRJbnYVG16Px5Qm/5y1x3IHePMalbk RYcLYetstxQN7A9lAmPWlaXleZGzccQLtXKwisV3FYsPiXwHGo+8CSOdzezb2/X108PjVbiN StyO4vzWnRPDnhV50rMo9weHRwkJbG+gbpR/XIXvUQX3NZCww7zb+EGgzrrpzABQzqMAGhqQ Qg24q6RNsLWdnVzHgtz6slpcx7ad+XYKpyr88X36EZJ/C64E0NY4Ua5gWXLAXLMlOvrGZYcv EIek3wWeBeL7/qI2Kb+ks9RuqAklvrLJ3bWvTcIqjJO+rAPf0a4SM2qtlAIRFP6wwHc0BNta TqcDHXetArMSnSCHCSahmiPLMTBw5LvAIRsuMAq+qI9sFw72RxgC6xb2dtnNTaw2v2T8hnr2 Ha7VfbMvpah0I7jOfQ9GKXC1Ly840zUVv1rGtlMrIVy5bJKHmMuhw4Xhu2tTw0SyTdAp4zRj 49KA4MtODBM4aRTC+Lzx1JUsIFDtIu8vfIvIjnEZeGtf7Y6E7P/eODZll8ZX/Cw36cA+PO76 sI2ZdmuaCJhTDwRmjdFIGakWtcquqm+JEicyhdWojcP1laYoM1AaEaRozpp8g+A0plSSE1Zn x5h+WvvUAEatoFmP4tKGrlx6bvLwzChXCr6HdbU84ADY79R9Dk5QAkSPalhF5aGldpFY1WGW qa1ORuCldn+E+7Um5cO5t68Ko+ZyylS9VwY0i2J1F2NxrSiaUtzX76lzFi7wSd6EmEW+v2tZ dZrVUfvXh6/X1T8/P326vo6O1oJUvN+BtBljPDxRf7LfkYOWZSWfa+REJuvhLdg9PP77/PT5 y9vqf1ao2xtNwTQNNcopUYpJWePkzCJp6iJuym1DcBajsafscGzUD2j4UxM7cibgBTfYqN78 vPSeuoBn0yPiq7csHxaqwc8TpuLN6sMY3+ctqgkctSFR80M22b7RXuxmvdxCxwqpj3PU1sBQ 2H/JmMILifDeSLVNM0nTSMZo0nrdZ8+xNmlJ4Xaxb4teGUKFVdRFeU6hRkNIQ0+TmFwV78z9 qZYzi5Mig4vc+AQgbH18HxNC3WsvPBNhXbS5GIEDf4KMXit+dTIcQzTAkmHCe3otfSWPBytX GVSKKqoR0CdiKpEJyJJoK2a6R3id3GkrFOFVeMlQbS0B/x4SLQgQaHuStXJwEABzXTgiieky taaQHbwEMOwu7YHlhnhqI51mESxRxPd5iD5wGcuLyvyh8emuL9K4D0taQucVVkXUG56tEH9O ql1R4wiyvDmZW2UwoR0HosVoCMro8vFps+xe5dVMf4PNWBhHsU/OcCLpH9ZHGKFnVumIrGzX lt236P8pIQZf2VqdAbzNRkbAFbSg8npxXpLVN2V4VkG1KBAMra9YmPat7XtSSKG5/cpCgaHP wtzp1tMBfYz/CH9+fHrhP8ZFPsPEokdMJFElcOcr8BHvQ/KXvxbxoZwHhTeuIAPTDj1uxI0T 7XiKY8TgTtM0IFclecxC4dEJ8ePMlYFzUKq5YoTCftg3FaMmHqLbFKTNIQqj9Kk8V1zCEDxm a6z7YxQr9ZCDzT+FAgDxSC6QZE3ryv1HSH8IQZ5U+sgRfCGp/czwr2NcUWxGVHyRnSonGOfA jTJLM/i0KJ8f3j69vH5dHZ5/TnFyVrV6gZoLY+QQuWscPL9TqohTcl83RZ6QLR2jTdgOrRNe Kt2Pt+lb3aobso472ot7xoNcEmR6l5yJP4cHEJne/ox/Pjz/8fryfF19ffl4Xb1e//fn0+v1 xwpnykAynZqrt5fVP1dYbg//PF8/aix0ejiEWXlMQMJSh5yjTbvqTNBUcG7BZgdnFS7DvTrV j6yEMz+koX0rektKmKzO1AbNOOCSeUFMRGOmyPcJTS9uSMTzgoi2cgvQ1hs/Uo9zuq+KdNYI 4sjw8VhefWd4+eXXj6fHh+dV+vALprv2LoyfLo9S5p5pIk84ovl5UXJsFyXsLPlRDo6NUErd WYT6hhxc2s6FPXTFgKYIHCxrsIVf1b1PJuS74Zkll3F3nZv094f1ZmOpHZlPiRtMkto8bSXS OI+DYU5vpBL1e5Ym1KmvEyrcGZHINji6w8tfDoHFGMThIenzNoOTYb/H890RJsP19en7l+sr 9DR6+fYGi/z5+irPhTG9qNrRPfxFZzLk2KI5OLbFJ62yMx0qhBrKVUHo+54YrZFDx6A2WKX6 ubILnQ0lDPGjdQggpbZ9iit1a7vBYJjHuhWf4fnJdO5JmBvLsDovFYuuCQrFucytfAO77cjd 3gGlVlmeNM70hKCD+zgzbS7jhJizb0rFR/3J+djuzGuCnCvSVGE7OHHKomZNIncFDrG6T3fK Ap21gBLlvlYhbRjZk5ZGRzkq7MhitXZ+mxftTMaLEfxXO0NGKJRKYcRq7VxY8AYxQqHC1hvG RKHSNFE6jXOjOXjX/m8aBPx5vz0Lx+bNYjzrv79eH1++fn/5cf24enz59unp88/XB/RGVA6R D0mljK2m9B3n5A0ODRTalGjzCJVyZriQuFu+WaIMNXzUvD1PnTe1SZ9hsP1OB8JXedW8z7Sl 8ua+JM0geQ1wvPf1hTWRkIMpk4PtlJcKpb7EZLU94o33SSjHs9xNMhT8/rOO/8TwUKvjy483 Yd3rUSWxsHaZR2AdgwBk0HxGc9Q1Q3MGdNbxr0gdF1FSuAtE8WBxakN45L8jvWZ5qXMdkwGu eNeG4H9a51zSixgZmWEqczn40giWIdAzpkPQYxh384hA8cmZg3jM8V/lFt3I5sz7cZE/GGOi 4mafqR0D+C5tkz1LUmq3GElU2WcEH5m72QbRWYroPeJOrkxeH/Efttf6gV31YdobvOqxKEZK NDQuujtGCluP9Z3ayzEYnGnyNSf5C8UlFQBJVjcsOkkNH2GmkGI8FXX99vT4L5VIbC7d5nW4 TzDDZpslN7/y7rLMkwuqDYRDDn8NCn0K1u/hbyGttoDJ2rQZYheKbOQEuwr1tTl6uh8vaIye H2TVLW84qnM1eYOXD3PXcrxtqNQbVixJtcpCjBpOh6AZGhNlPh0uf0F7gVJV01YVq2GPyJna Cv6AIRkHLWDar2LBU+8eE3ZIcKMCt06n9djo7sex/DrbdVoDo2IXpk1/1+6ozV4kqcI7pSWy /n9oHMahWastBqAcOGcEexYZW2LCekTg9RknhhxfgC4BFK0MRmDgyd5dEzggnYA4lmdC93QG jnBT3MOZxnf1sje8WTh+eNsyfvWSaX2YnWCMEzt2FL/aoe+N65E+ucPUGn1l1drymjKwG1BJ 0+3YQV1AUYiOUio0jbyt3RFT2pzOfMLzyF3UqvPorAgcXzQOKZVyJKtde5+69rZTmjkiHL6K lL1q9enldfXP89O3f3+zf+d3uuqwW41PUz8xL/mq/n59fAK5CG/W4wa3+g1+cJuZQ/a7uMkP QwVC2Ik22x6WNI8SZcbzeG50NJqBe2kH08XEBgzLoSy7IWLUtCQJpvukZ/iMdTZrdeS1oFID p0sxFsKwn+sZO4fvHrJJ/Ng/P/z4wh0tmpfXxy+3TpKwsZ2tvluHNey3Hq1s5QT4hO0b8k7N 3bQMUXWEKW1ealWz9sR84yMw8GwVWB8y1+bWXfNcbF6fPn/Wu4uvAQfpZVMEj4+M6tqbsAUc 2MeC0uRLZFkTGz9xTOCivUvCdz8yP+oaPxWVVAA8iSQE6e7MmnttdCcCY9QOiSpO9iHcZXp5 hXFWP31/Q931j9XbwO9ljefXt09Pz2/occXlt9VvOCxvD68g3v1Ojwqqq/OaSQ92cpfDDIOV mnpThjmjxAuFCPPeqsfozDFV5A6jKMFIveheQClykziMejhl8Mm1jqpW0NlwlPZahfHFU7aT fDoBxK+MlLUOBmPFR2pJsbJADTdn1GtpZjZhfZ+DRNWN6Rr4vZMbACtiMhQGksNgjiPA5iBG Q7laxhZ7SY+dNhhDNqsPtIoNM8SO4pjwDVQ1i+nZEVaHtt2pMIwWKIAuy/cW9g8x7QG4wNC/ Jxkgi5kRwO7oRrIMhIw4kr/BuFkvA5iYVWyEFiWmYZOm6Mk1aBmzaD80ZpHvWAp7Q9uguYXI mhneqRJu2ZdKdxDWKBUuyHPfkRcijPYq9TLflfuRp8LTMfeHVyqcgVlLJsfh6Ez6OA+BrrBp vJXzQSQ+w58xHKsPy53cpgFhWxrfYS/fmfS7UxD3bOTnos+aMJ2hHR0qylQWjGkvPtznd2ic VhrGuzmBTC0xAkHRndQfboIFfVmIOGQXZvIAcegRp2GfHTLpmFhQ1IZy4SxW/acvymqs99PM mjap8VFBHf0jQhJoX01JTYNXoPRl4XWiV9kP16rE0GzcYfBBeYmwyScnt6Wvd2GlLsV0aOi8 G0bPT9dvb9RuqPQIfpp8vud9ESRArtKcvo6hJF6+K0pd/n18rpL4deFwalIO35E2OvjdZ8U5 6fOiYft7DTcpEGXo5LZeaxi4fpTqQcJLYBoeWKphY3DRFIojcWNIpyzRReomNBkby/yax6Pt JhPiudnopp9GgvL4GK/xhNBk4RG+AE61ZVuC0mL4zQ1f/rL+D0Q4BREnWPH8JIg7f1hHjPVS 9fDDEbhahhU3ouLWr0td5ehrVg21KeCq4HPCk8GDDgiVtHUoOrGUo89m0cy4//xnYfjIIBCQ 4Pylw5mIJDkx7wT8oMsSNeRYO634N1wcz3sTAi4Pk8kU0YrREuiX/BvDRLcacIfGR7K1z0Se kZqHEctvDtDbJB7fdsXj4sxTLWB9ugLx6fH15cfLp7fV8df36+sf59Xnn9cfb4Lt8BJu8h3S qUWHKrmX3u8jDB0gqcsHiPHRdUYPd3O+itkHDC3/l2OtgxtkIHeJlJZWZcbq6MZQjVSsDikT uBFbRiltMyvgnbXa/wHsk2DR8WwBB7ZDg326UQEZHWbGZy7VqjArU+AIKzAjCfRbnDcSSRk5 ro8U9EpUSH1XJZUJYdIGlt5rDna0RoK0YTnUBApr289uDAUQwAaI3TIUvlk0sCxDOTrA/kLg ry197OLGCURrRQFsG8BrGuzR4A0xeIhwaE3FRJHBLZaU2keCferZFPdD2Hfgj+30tPpJIGOs Kvpb3GY4Q5ljnSKiD5HfYa6k/6/sy3rjxpWF/4qRp3uBOTPuzW5/QB7YlLpbY20W1UvyInic nsSY2A684E7ur79VXCQuRcXfAc44XVUii1uxSNZCC1+zsGt+EQkIbfhIbiZTMlSQwpdA0mLq HTv4souriF6QKFo2exSTi4QqOGermkeWHqxaRr25DeiEkWMDmFGeAL+zr/VNL+K7zs2M4EQs yEiMGrucLkLRAsAFCewEC+DX6i9eH/hM2SIqnPi4wqPdGpADoql2bVZuApRSK0lolx6RiTSC 1YWmdn7vlm0yOz0mHgnSwr391kQq4lSwNbPHL89P91/sLdiAvFpAh2KNNbc2olvXG4aalXcA BP1W1GQUdqV1djy/7o45HPjgH4fPdqEF6hDSpqdMy9ZN44KoJCvITDKIUxHcXf1AKn5NZR0G DcLcDfpgO1fZAKzqlePAYDB1dbCvtg0YreMCVvbZqnGzlvdMSu/XxDUyNEj3ZcxAvXD1PT8H ygDXYIVvDqPhaJpNHT4xR5n0aXHPuiaj2Z5vsxtHBURAx724YGYalYn50nG+sQsD/ZPMu3rM crygwjhAa0c8SnMBaZBI1rmp8mSduSq5gXV1VtPhctD1vEh7R7WIAUea5ww98Sl/tp6qwjSB x2pC+ghv0RUJloB1CtMQdBCAFZQ6IkevHHNq5t+f+ld9+WSEobKa09+n59Mjhmg/vdx/fXSe +zMeSbmGNYp6GUlWgNg+rnwlaAfYd3LjlroVyfW4lAjT+LjIq/ly4e0jBquCXY8XL6OoE30M iDoj6xTZYjafeHuhjVxEFEWLxlO4LMx8HmkM4C4jozMQrYrJMhJu1qLiCU8vzyPbrE10NY11 LRewSZ53nPLDscjwYhhzu4ma7mTEC0bjNmmRlf5xziCV9eivGhoPrmoXdczw7ya17kIQflM1 2Y0LysXkfLpksODzJNuQQygvN8n2qAf2EF4dS+Yf/wxuzympYS+Aop7qFxe6BCLnBkWmsi/4 upyzVJm0cyRPs4iVkQFWGagphwb6B4DldLmtuduDK5Zds7xrJx64nXSc77BjnXZYqIR0MJcU sH/AQblL9rVXqt5rfGCHqWRpqEwTF6IwTSc5eBk69wUswxf806bcxToLCbbNNKynFGET0C6C qkGQ6hUgrbhL5BTdZiCiLvh+dn5Otknir6Kfos0UPdcAS0ed92guo/X2Jnx05RdTN265SFuA Ckt+iHa3coktLbhH+WySC6dCBxTynYfrTdgZEunZRKsAPZq8OzTImizxJtDXs8evp8f7uzPx xF9CiwQTy4FvetOKnxQOnwnn53HcdOG8r/roSP/5ZKQ3uk+0jLBxlCGqI0wcJ8vZOA8tCA3o RlJXIfuQmHK9P539ZKIsZeQceIgoYsXpy/1te/oHKxjGxpbbOnNzZCUV7ZSOSuXRBGdyFwnS vwZufzXVNXFWbDziKOmf9SZJOVCPV1+sN3wduXn1SYtflrZXVb6zNfu09Kkp2ovLiwUpjRRK 7a2KtSgNZ8UvKDY8HWuepJE98OvGSdpwqEaI9zKw1Dv7AsfsF43BCFPn7NftQbLV+9lE+gl7 N5tIvXoHp9P3cTp9L6eXVBILj8ZN/xkg3z/UQPv+oQbidy8RRR0uEZr68oLMFOXTXEVbjcgu bbfvre0KNun1u4iXE9KW3qO5iA8IInGVv2PiSVI1HpFZJymU1BuvMJgBUcp9L2hpksvZSE2X s/fOteVkSVkRejRX0ygfV1PdiyPsAI2Sle/h5+q9O5ImrbsMdv1Dw+pxDrI6fT8HxTs3UEUc bHdjxO+bAUgpbD/sEC84Wkw5J4eAZv+L7VoRvVceLBfuG0v8DshRhCxdyXjvy3uih+9PX0EZ +6FjI7xENCb0vWrSjWPBEhAU6ggZQ49il0rlddoyzqh1GSha1sB/+Wwyk0z8qhfrDL7gW/Lx RFofbRJBDztiB4QydlrMnJYp4CXCXKsoeVSvucDwA8uriRNvzyUQyZHMZtdT6axDGszqG9By eLc8X1ovNAgtigCcAZjVMlaPc97v4Rfn5BtzpiuZn0+u3NIQih+F0OX5hWUQjtCchCraS4tL 6CIFvbhwjLt7+JW/CgKCGaUsDGg3bRTCcw2nPkvUZ4C1nNUH6GThFJaowhAe4UENzJUd/WFg bTGjoH736CIk2GmHRrgZY4PirqjevrqyU7ZbZXlgTbz0q97UO40Zb/fV0l4vQk8siyPBcbcC 6OXEPqKiYUcmagN/IOBTj35DFbIZKIc7CgWGzficvrIDgrxmOuaXLpV6aeG6G8JaFXjqcV5A kQGtevjpC7GZ6FHTyHWzgPmnem9JBiEVet5e2EHwEChHJ4Aqth0wjlm7a/Bdcu4GhUfMzYWA k3uNqJHal3YysKEeBDvVm+YqeqeReszjrZTjFdZ1lAzYyUxF32PThSNwxFDLlHRf0qvhYuLG g+3BU5I3jXWSQJt1NaGAUwoYfK56cOJmsBwQ0Rb0fRx+2qMiH9dF1mGqZtyXkmzv7XnbtdoH +xKvcYs5ctpj/bphWRvByWeJtR5SYCzCT3+McV+JcM9Uhru/eB9SEdetXp3xi3nvvehfPopF vUfj7QFL8q5TnMyA5QipSziPVKfRi3g5IenFu0nn0Yb4hNNzl0EXz5ri4hctwNOKkB3OyXte TQYE1c4OW6cjuVCVK9w0jpvPSJwc9Wyd7VMK1tWN7Vcur4alfbaoONpfjKBmwcuBg74gZSN6 FpAtQITgV0scTnn5GSBmzMXIRqDLvM+GBMK/Kn4dOW/0RND6QnmrvJNwSTnoh2RX9rOBYkem Xx8W1q7M9t16wifn5wKRVGftysV51jGcbHbydgOf4CNpUGyPavxifartxa8pJu+gGa9pLtkZ LSWLd8AFfD2bEM1cAmI6GysWKWYBhYtfztqgbwG+ndE17mcjY7VEM94pVVwzpwbqCusf7Rj8 NFKfJdJbNAskHjepyBkOQb4p8LmDNohBh5k930We6JUrDWV0chB1VuLSGzphgHkuIhZCnjsf CASuf/IL6bhEfyK9zwaMSItut1zI9x7rmkA8vT2j7Yj/yiWdTJW7nAOpm2rlylDRcPmsPQCN uZFxVB3A8pk3dGDVcVhGgsai1aiMUjFGc5COV3GCddsWzTkswzhJdqxRDwgINLqBnsWof37T VBazbnZ53h0DpLz5uAhbXTUYgjxWVXXIw0+ahEU/UFIm+ESJlq2It1kF34vj9y1OmxGCsubF JdVrw6JhCQbD7dqWj1AxUVyhJjNSjppuJaygJEMVkJQKiihZHZFt3Ix2rlSoxeVkEh9kdDMM urGEhdWk0W/6aIre2KMysJEWiTA3w1I1qzocX7wt/VUW8TFIvtmU1vk0hRQS8cKV82Puv47L dV0L2nmeNXogKU0bs8ZtcoxCQqyTbtNCr2QtRgJGczeZK7Dbs/zjxKZS0kbUS/u+QHPll68S fypdx24E0O0vC+kKlnG6h1SiwTqjbfYUlnSzU6iWrzRTAZMmYyNvA5RJ+OTYK0lDrrbwe0za LnVNTUxJ9MuMCgNUGL2idO1/qmDmmWNRLLa6K3lBd0VPAGsulndYuUxWMJ/Gi2gLerNP+2Fv Iwom8q8vZ/2p2qcpHFsJ9ZF2etkuZyjhioa60eqRrruOBpMBDnR1mCNkU7cEtzLlSE33k+oD pMBwYbwdFYUCUwfQZ2nWchjlCSW6zQwyLtvB3OpNPOI7paYAHquIyashoVN8FBmH7RQ3U+Dy Yk68DHi6Sf8hA7Yry7wMu6pAyODcqO2Fu2JrZTHpd2nYq5oDrDX3o35zL5zSTZAABRyGX9o4 STA1Z6RxlKlgWLKK9S7iu1tXOWswsTQeH612ug8I8vEgqyn3XFSx6oQH9SoRD9+Qge3Qv7tI boImqpNHITZ0G6WMcftK8ofVWDf/oC/v4L97OzqBhDHbZFWBhkAUKlb16fH0fH93JpFn9e3X kwzkEYbzNpV09abFqBHOVPZweLdEGeIHdHL7ED6LAUHvyWxP4F9x7rMnHSgjoUcNhXKOlP6h bZNxagKFpDn7/CnsDUOBt2zttql2my2lgq4VufuE4IFkAEYDG3TbHjoSNrlfcKqXRo7XAYHZ MXROY5clGxqGr0TtQUTrm13hYfQwxhKSsDGmcUHFOO5x3X7i3e+oVmiDt+b08PR6+vH8dBee zZq0qNrUt4sdoDHvECOP9/UONAr8/MFlWnA6YRHBjGLyx8PLV4K/GmTGMBzyJyjQlqSVEPUG i0GzfNoBgwCnkRKvXKVpVh2WrFHDXC6HrAkjL2Lih/8SP19eTw9n1eMZ/3b/47/PXjD419+w gBM32Lp5oBZPPGy3egDnrNwzO3ymgsoncCZ2TuxQHScVxX1Wul43QyRUhSNbS7Gj+FTW+ySb Oi40es2AcmG9aVsIUVaVlURAY+opU5/YsYcUapTLkJlBjb6ayM3ODr7bA8W6j1W8en66/XL3 9OA1qWfD3DlIZzFqs6q4ChLpOe4hGE6IoqX8SfUHvQeaXVtXF3RYbZJTyWp5rP9YP59OL3e3 sBXcPD1nN7Hm3OwyznUcD/ouA44LGHuVjmKY1IzhJXkpKp23WzP3KxZUvKzfiyM9deRIodG0 vdcF5MqI+ljP//2XLkbfstwUG1fpVODSdxkzJsVhibKmVGamOMvvX0+Kj9Xb/XeM7tUv4jCq XNamltoif8rGAaBtqjzXYRd0ze+vQcdyHUxyCCmh1S1LDLQYW3bPbFcOuU+U64Z5hm4Ilw9x aIYV3X1AkMfMjBBNWKyZ0BAU67JRN2+332FWRxegslqBLYxheiFqNSmpDjsQaEyBUrsRK+rM J3F5biuUEiRNY/wyRBGJ+KKxCX4Wq+TASyEG6ab7g2y1Kz6IF8dQw9k0a6JiSwFKQGPKLE8C Kf76Z0r/ZU1lHhl756tjZ2yD7lSN1P2Npuljk8Kw7urcvkpA7kywq32Vt5iNIk40+xWRneRD Xtr1O4KcYcf77/ePvijph4jCGtz79vb++FXgMlw36Y2pWf882zwB4eOTvYw1qttUe5NgtyqT FKe/vT3aZHXa4KGUlZxMsWpT4oYj2N4OfmWhMdanqBm3Q9/ZX4NWn8lvnUYEYaRRE9Zjrd17 Zdvt87I8W9tI5ypP3RwHqKEfdWazgEsJNnWXFa/DdjokdV3sqF5VRP0yStaUDEmPLZdOOmq3 +Pf17ulRxx0M+0QRm9Ra1rKR4IIdJ/PFJRU1daCYzRaOkciAweC3kVUpSeq2XExIgwdNoAQZ GmNg+Bv7xCPRTbu8upyxAC6KxcINu6IRJk/PGFNAA0sU07RMSaM5OHY0dtCvxL7vVReoScMK 7kPTlbXstQ4Gisva2RvQNzEHTaalPNbxzS8tMiekIwZnAxB1msUj6aa2GelB4SkRH+9hPuWx 0oo9fIHz0AmQhFoZXq+WadtxJ/o9YrI1fVGnXLS6Mi1i1zNCJui13suWGIQwaeh+MTexTc3d zlHXQOuCT7H3KS1Z30wXztzCJbiYTzF+IncntlycoqkiF5lSPETyVmSk4upcicMPFfTNbgMC Y+GmECcnl3UTaEDdNueYpUdmpXVK66/yIyWisp/p47IH1l6rTnFE+gEXnzZwso3VpdaBW5N5 sXJ7RoUOdSn1I4LP0jZb7cn7xgMK+I1bBkj8id9FAJvSkktj/ctsG6siHW4Kr5obcTG18+Qi UIajn/nsw4EUPaxBq401Yshn5QDtpNAG0t8N+22UB+5I+VJDz0TtFte7GLrQo1erlDJJ4b3G IEbGmV8uPODR6xTL2xgUg9RDctZ4EL3623rnFmy2SW+B+bZwEmhMpZweEvl0yWsydYhE1ynz GujaLUhIm/kdHzxPhlgYuVil+OrtdoAUOz7vbZZyFisEkNsmED37DL1QW6909RputImsuTm7 A60yTNENGLezGSzNzD7hsQTfFYBugP0p3+aYTWaGE5YRR+I6c2IK9miobvRZrvnMJgGVEft6 YGUllsWHmC8xllzjBKCxvX+x+fH9Z7sUXolAP0SvZVliZw9FKQJ40abOAzpCy7bYHf0dSRYG +tAqK53I91VVbqQjCsfwM3aHY/yi5sa+ugiGr6+2xpyUzt6unOH5cEHgjALiWLt1fRd9/FFM IlbnikDeN83prUNTxDYPjdbbR8Ca0a/Ug3v0ewwW47cYRsBKAKFhUqZvDj7t9XQShA/IGayh mwCqZLoPLvi27jCw1XERNiImoS2s8iaGwwnRB2imEv2atLBQKPXoRqdxtijqhPvdZMeJ8Bra fN5Mc9StMYmmvnVwCGTYHB8mz5khh9rYdGTexLIqKWzvcu9zadZqDN5t8p2TCleh0TAubq5n okrMHGcDDyljS+gDLCb1FG9/vchz/CBhdTY4ndg0BEqvYzhR2GgEG3VC5nFuHa0f0f1MiGZN RioZhYbEyqSJmyKSU1UONytVFgHMq2pnFEekMuOCQpxtUiHwNda0KVK2MqnEz396YHxH08k2 LYR2y0PM1O8J8zwh5yllQGQRTaZMlfFAlqHRM4wNSXfbQMyOm/eSyd5AWh0dZ5TH/oNwSpiL fmBx67dAxZkJOHK/hkOQHjMN740dsVPcoHPmk1KYXrcQpZiqoONN4jOykmbVrKWCsfZ4hwmL OWQ/aJmxyqsa2LJpGw6bzp92JJEAsdDQosghY/mePAACjTwry9AsYXOK7Ag7zzCMDlJbXQSz X9tqKLjDjgqWE8lirAhw20Q1I5g0GBcHdsKyMhPfwhklKWBF7YbdvjlimF5qVDRFA+pVZNkp O5bZ5ULezeQ7UJkaP72zHHqpLARThqIZE3XqqgPqA4Z3bUE7CdiES+lIMzZZFCWvJ5OwSFsU H1k3XZZwgBW2IuegwiWEqHDeFPWMkqoSjsXHRAca2amJ5n4H8F3EYMPgjyIup2WehcSOjGeg am6LLJD/UivqRNokZG5p+T2r6y2aoRZJATP+3C294mletboEt3uk6hrOVm3Pc4PuwGGfKrUH pvCUgN/IJPROCxR8ZC+RBCj9toL8VqdbFt06Ldqq27+jHH/eWCg5fwjOZS3CX0ymK9CveURe KK807BW/gIZJg4b4pzINBYiNWZATW2L7S27560jdxTp0UjKFU8zFh6vHxXORJcTsd4kSRfQr hqSw8zulN6iPpMlFIn3eS2rlpugzYyxtM5kaHgiii9K8JowpF+YK1FvcFEXQd8ZRkFKm9DUq 4mBvj1bfa9b+MolSUUFFHBrd7xSKbcN5CqdkeZMzmUFLoFNHxPhAOv81abadn1+ObjTqqked iWJzQV7uTK7mXT3duWtXXYoTIj4plpPRNcuKi8XciEWvN/68nE7S7pB9JrmWV3tcXQn4Cr/9 JIFhcGPjhE8rEzw3ewoEnrCv07RYsU8y+7M7hC4+EM39patUXSq/VQPazyttH3HshEH2rYl7 Hus/wTdLbns2JW1tXakV3NG+4KdvuawOe6dnjPxxixFtH54e71+fnsPLNXx85Ny5CENQ7NEb cUnBL0A3DEhMm0aqtY637jt/EN3b1FcmTeW/z0cifyfMusMv90Xq3N5LgHoEIUZJYeUVWVZ4 pUhwxavWGhD90JSud8KSCIrcnIpTNCEsYlgszqsH3WVUPYPJG6gxqhKPtsSJVyZV57Cl9IK1 W2+/M3gF9XBVo9dTeNqRzER7SwkZDD7tdHQvEmV15CxS3+/XFyAXY3X0Vntk80W5x7S1m9q+ UMFw1KI2/W6FjJiinbpXjjQUJcevwQZ59ckTYblvWGGuUraHs9fn27v7x69OYhhTektdkClh 0VqhaAyk25BQ2B7dC2MNr0m3jh49vMHqpUIwaz7SXtnuc22xaairsAgJOuTat/PSyr9uQMfr 3FDsAUo+ITmPu6ZolJXdWP0qCn1Q7bpJ089pgNUSuMbslsZy5sEpr0k3mX1tV61puHnOJp+4 1wV1s9Gj2Xrn1YrQMquEHrua8a6cndvHDadHirpzveh7rHTayX2sHW4Wfsh050m678oqcRRI xBVMnn4j2Zwtiq2d9dKCMyGf6mkU2q1abQeUcFx0JWSVyoj5Dy5jVSTCRZtSnS3TdcD4HtPe 4rV4+/56/+P76d/TM2FEuDt2LNlcXk3tzIy7o5fJACHaN3cw8SPK7fdwkJ61JZlF5nmEwO/O JEwgH5KyAh9NHmyANg307IZx6jTw7zIlX3VhuiNB8EWzq2G8SuoTJdm1G5udntU8Idoox2Dk JqVkOXrj3exYAmvP6tHea0n6/rG63dmyApNkOFqOzLVBm+NLnNDmYibtnGuWpPIk338/nSll y5oBezhOJqxNYbJhFjcn+zOCKpHBFOGWeXd6RN+atQgh3Ur5pde2KUuGrjIAdpKfAG1a8uZT 3WZubjNAwGKm08+uRZAZsAdYoytB0raNKoOFn9zsKvIylO3aai3mnd1UBXNAuIs6AL5zDVN1 RjZS9aqgtTn75Hw/wED+JlkDM7uDP+MELD+wT8BYlefVwa7dIs7KJKU8sCySIm0Zr+pPRnrw 27tvdlrdMsVxHvyrBq1GIfysiv3Qcca3ntSVoJFEjIaC8Pwx/n2KO6Xwv5zevjyd/Q2zPJjk 0pvFs/9BEL5WkaZPElujpWlRlZmTCEZ5xmyzPGnsRATXaVPag2gMjno5hH/MzBmOCyHTg4QQ KqOmSkFpz48G0yd6szCVqwlBtmWVAep8irAGicb+uV6LqfrSg2hd6jyAH2CJpjqv4M8Qi5n3 cBnba1Vhxa4oWBOA4aMja1vnMbzH9DJohHc4dvMdyg2/ZLxBxmwoGCOhkuJGhJV8zjP6OkGh 88/0XZDCNrgfRFlrdivX0kKzVYASAppI5PHPJqqbrPIlIkmIiQ6jfCiSNdtXuwbaY3PEQbGP XEHDUULOM2qJiLaynZDU794l8BodrFafMAfW5Hw6Pw/Jctx1zPA4S1ORAJc9Olo/UM3HC5lv +TuKWc6nY8V8Fm3yjlKsEsaba7qJ5jggo6+6Qs4peprDnoEPX05/f799PX0ICubK7SdelnbP 87+D2USdmu0U6vBjYOD+5Wm5XFz9Z/LBRmModCmA5zPLbMTBXMYxl4sIZukG7PNw9E2pR0Tb 1XhElGm3S2JH8/QwTjQ6D0e9VXgks2jB8yhmMVIllX/II7mKdurV7JefXy3OI6N1ZQclcjHz eJXLSypaGpJkosKp1i0j/TBxAif6qImLkimTfSZMDZPoJDEUsYE0+JnbcgP2htCAFzFGYr1v 8Jd0eVc0eDKLNphOtemQUMEtkeC6ypZd47ZXwnZ+bZjMHfYkRplvGTxP4QzM3dIUHA5+u6Zy WyYxTcXajJVUbfxTk+U5+a5rSDYszTPuLyCJadKUio1o8Bnwio4+AUdZucvaECybrhj1MHB8 vFbJ8yzErl0v7TbtygznM3V5VnUHx6LROSwq/+bT3dvz/evPMPc7Bi2yFeFPeCy52aV4ZNVa v9kh0kZkoM2WLZJhRFjrw7ZBC4TEK04fEw38waqmS7ag0qUNM1qdUb21KtgloPVKWzIZ58C5 gNAk1PFfo2zlWub627ImSUtgBI+WeEbqMDU3d9NEBkR2rWEJaygCs1WSayckR0kkanf2D8cl OJHhyVeAhkd6huFJS9qSpA0qg9s0rx0XOgoNVbbbjx/+ePnr/vGPt5fT88PTl9N/vp2+/zg9 9/u10fmGjmfWM1Muio8fvt8+fsFgLL/hf748/c/jbz9vH27h1+2XH/ePv73c/n0CTu+//Hb/ +Hr6ivPst79+/P1BTb3r0/Pj6fvZt9vnL6dHvMYdpqB2lH14ev55dv94/3p/+/3+f28Ra2da ylpsHb+WCvfAmUSgRReOY98K90LC0ODVqkVCXTVxGDHRfU4b0FuhSOzJBG9QrYlEIy23WbIh Bh3vh95R0V+kPXO4iKr+VP/888fr09nd0/Pp7On5TA2nfYOvyOH4WZMhcBWW5Rsn9ooDnobw lCUkMCQV1zyrt07QKRcRfgJdvyWBIWlj30QNMJLQUtQ9xqOcsBjz13UdUl/b96SmBNTSQ1KQ /bD+w3I13I0g66DQ6USGmpHpieMjasjTY4uh/GT+Y7+2zXoyXRa7PECUu5wGhi2Rf6wbcdPu XbsFeU+0IxLoSGNVfAMzueu3v77f3/3nn9PPszs5z78+3/749tPKVaFH10k6rWBJOIdS22m8 hyVbCigYAW0SL5O3nsoFfdowXbRr9ul0sZg4ngDqpfjt9dvp8fX+Do5tX87SR9lKWO1n/3P/ +u2Mvbw83d1LVHL7ehs0m/MiYHJDwPgW9m42Pa+r/NNkdr4IRyvdZALmQrhI05tsT/TjloEw 3ZthWsnYXLidvIQ8rng4Z9arkMc2XA2cmLMpXwWwvDkEsIqoo6aYObaCmKWgk/jhFLzVsO17 M1jzCeh17a4IeUcnbNNp29uXb32fBVMGFMF43duCEe3Axvkt3itK5fR9//X08hoOUMNnU2KM EByUdzxK4eyDVzm7TqfhwCi4CAe74e3kPMnWoUgihX904hbJnICFQ1JkMGWllTAlkpoimdA5 NPUq2LJJuDRgRS0uKPBiQmyDWzYLOBXFLCRsQTtZVZuA+FCrctVsuf/xzXn96xdyuGIA1tku a/3YVId1RnS2QWj/i3BmMEzCnYUSlzOVRZ7+SLTh8CE07ELHFNWoL/JvVLIRgqupnTgDfZfP A1h7qMiO0PChSarrnx5+PJ9eXhy9tOdc3g0SU8y7d3aRy3k4YfLPc7KY+TaSJkER4O1msMs0 oLE/PZyVbw9/nZ5VIDqjV/vfs1JkHa8b8nXBtLJZoVlLuQtHDjGkdFIYam1LDCX9EREA/8za NkXXhEYdyEIlsdNhs2zt+Pv9X8+3oI0/P7293j8Su1Serci1g3AtxIwfEbH/W1TxXkMiNV37 kqjaFEmkElqTCOmSSFOMHAWFKfucfrwaIxljMrr1DS0Y0TaQKCI9JYpYottwg0fzDzh9HbKy JBRpxJqgNcQZAdFiURPdLIuV7v9ahR1ZBwMpIbEGbEsNx4CGrhjBZsTePGApjdYpeXo+p0u/ sUPFuPD4ma0niLCMOPJsaJBpqcJkelH5SSLDxZi48z/Z0m4tES6A0/HRlW09YJyWLk/Lj7AB k0QYfSoyybJi06a801oTxZA2h2JpJCfHQBnGOCQmNVunR26Hu7BnRdPWKac23D2cJUDvIDHS qUmkkWlY5NUm4+gS+Ct8GFHF4Xu6ox6FLRJj2VxxIXUaSk5E6MhTQ4yWkwcCn3pLpp9g4lNR pHhHKW810YVhqNdC1rtVrmnEbqXJBmPhgbCtC5uKqPK4OL/qeIoXhhnHh8ne9Gd4zbvmYomP z3vEY3GKhnoPBNJLbWKQBlZECosneCzFntAi2+D1Zp0qKyFpMYDsZO79mtqUT8+vGG0LDrYv Msfjy/3Xx9vXt+fT2d23090/949fLbO2Ktnhys7kPfHHD3fw8csf+AWQdf+cfv7+4/TwgaaW /a8vByz7q5BEnvepa1Zpr2FfZzeO7VOIFx8/fPCw6gbGGqHg+4BCvv9/nJ9fXfSUKfwjYc2n XzIDigi/zjPRvoNC6kv4r5DrJt1XavwUgV+IhTfNHmx53jHAprhVVmKrYHKW7dqobXlUX8uz MmVNJ81m3Nd9Ju3SiEFcZXCkQrNSq+ONTzictkqOl/eN9PKy57pNAsLfYAe5UDUJ+ZYETSnS rtwVK6hzKE+9bbA8rKHmMpyx7SchWtgSQORk9i7NGr5FNjpe1Ee+3UhbvCZ1DtEcBDmoyLb4 55MLl6I/elsyjndZu+voiznuZbRCQB/iOvYF2nnydPVpSXyqMPQroyZhzQHWwQjFKpKgAbBk hi2AewcqTj3sgwIaXohw62JM34DYARdYmVTFeJd4NikWFM24fTjaMOExJneExWel2XtQNK2h yvCMaSwoWSMaxVCI42cE281VkO64pPOwarR0/YlkIdAkGZ0KTWNZU/hcIKzdwroKEOgIywPo iv8ZwGRUdiuyYG9Es/lsR+axECtATEnM8TMJViZZFHxOwrHvQ6FAPEiuuHXzBj+kWQ9GbG+Y bVPIBEZeBmmzx3j0DbOOyfiolWk/FwuUFJY6jyHiHbPfUgZzVggQhOjg4eIQgV5v+Oroiytd vLIyNLF53MqgK3ImjZS28mRPlCDSdleHnPX4FvaEpDqUIQkCyqo0ZXeFI2YR26QBiPv9UacN yHODULepp79v376/nt09Pb7ef317ens5e1BPfrfPp1vY8f739P+sawYM0Q97OpaExgugXH2c nFvSyOAFXlJKWztKhtlUVkk/YwVl9POyS8TILENAwnJQ6gockaXdGQyd0bUqT4E74WFwbqzg JL0tWGOnNtzkapZbkz+vHI9A/D0mVvvF0lZFxi+cvECfu5Y5hWFwqLrKqVNGUWcgXC0xma3W iTURq0w+8IIeZNu7CnS+ym3jDvkynaR15cOUpgUaA+gQ08GAEsM2WBYg1epPtnH8nQJFyG+5 2hOUd5+Q3XlI7bjpopyg3UWVDF4k/dOz0bQl9Mfz/ePrP2e3UO+Xh9OL/TBvGVqDkqYyDNFm jAqPj+J0xHXsClB14VS92mUYXMy+KVA2iqDUbHJQ1/L+ufYySnGzy9L247wfRX1qCUqYDyyu qqo1fCZpzmhT3ORTyTCidjxRhUMhXcBIMjjIrSo86aVNAx/QQX6xBPg/qKirSrsb6OGPDkp/ E33//fSf1/sHrVi/SNI7BX8OzXvWsFOk3YE1pbTktfiEw2aN2daQYzqqFUvUpYlwnCS3Kcas Q38EGFxybWmZkHJ5VigyUbCWW1uIj5HsdVWZ284hsox1BRKvW+9K9YEUT51JE6Qp9wWcENDF KRIK3S7pkLJrFKMdr2kP4Hd3sJOaRq+v5PTX29evaNqRPb68Pr89nB5fbXcttlGpkuxgfxaw N1BRl1Ufz/+dWGdYiw6OJRkZv003VQTdqOWEfwvXY9HCQBIU6HE11o2mJN/4vdctpAoCY3q9 SSzxGv7qtlVZ7RrldaTPm31lkiAwd3DR12R8+d1KMPstSpn1SChIgl2ZWJ0zBsXZOKAGIzyJ FNtsTW1OCptke2kq5Be5K2FJ8a2fmshwUeVkWxU6BWUk4kkI+qCkiY3GNccCUPfMTMBCLz/R 6PR1ZxI6yqTEHEJ/l+DWRxtE9eVaLj0otNNjm5bCcyFTxSFeKgrUYRu/Bc3PuaWSV1dVJqrS uf4YSuucU7OCH44+BLbj1LsMdBBjmolLuHbuVl2cypkYwx6q5jrOAEaE2tK32C4hKov1rneh jFSm78XNtmkJHJHvVlGPMDmx9IwARSQHsRqybDDxHULqSTvBbHdnlcZRodIy6eCnnUFXfbkv wur2hbR9QJvVaI1A06zCwrp6A2fsDXXO0CRZ0+7sixwf7C8HGQ9dmh+OC0lGSSsJJV7jFBbn B0xykMBAlbWo1LMk8V1fZBnkFhesSp95kG5uRFd9+gH6s+rpx8tvZ/nT3T9vP9TOuL19/Oqq jEym+wMRWpH2hw4ePVh36cdzF4kLBLPBW8clUa1b3CnwUJi2MHerSP5fiey2GJunZYK2zT3c gMoBikdCBguUIlXV5XrljnWAsrIGjeHLG6oJtswb2iCndixuucLqp2wbJhehLbepavxBxC68 TtPauyBVd61ouzVI+/96+XH/iPZc0LCHt9fTvyf4x+n17vfff/9v6xoWnYNl2eiISDmR1k21 772FyX7X2apZXHw2cF7ftekxDcRjmExbLzWa/HBQGJBj1UGaQQeLtDmIlNR8FVoy651WEQaH vQCAd5Pi42Thg6XVnNDYCx+rhJw+HUmSqzESeaBUdPOgogw2hpw1cEBKd6a0adggxbzXEeos DT2Vki7ww9c48HjoN7ugcDsCY0iiJ3ynEyGa1dYPhZ0jsZ/ha+czUmT9/0zYfhXLPgNJ5kl2 1ZoQPpxULc7xXCLtvUuRpgnafMubX7+0a7WdElugQoDyARuhCNPOKZnyj9K/vty+3p6h4nWH 7yaOTNVDkEVyrGo1x8e762cTsie96TMvf/NwcEY9AdRZ1jI87mLQBe9tz5ONkXb4tfIGurLE 3M9hHCWYxZS+6E2s4SIetCGZPDpmY4wEYx+DVhgpwCGT8yKKTW8EdW9gkhE6TfI7A7YidTRt gkOpWVkM1GT+qa0ssVNWteLJcV7ZW0flceymYfWWpjHXHGtvLRDI7pC1W89HQtWj0IVUPoEA H848EnTex5UlKUFzL1u/EK4/VKUMSMW1tNDwWFS1cneXwPfQznd2VymDkN45LsAfkFNtJ6Bh POwfqyh9ChYH+yK5Bp2/gEUCR3SyWUF95krPr0gTWpusRviDgndbuNNbRQ8eRe5UoC+rhu2F ur3DSPzVej3w56ky0Q+3B5i1QbMqUcIRLQ2bi+ch6gM9j/RcEcEcECWrxbYKJ4dBmLseb6BW IMYxMUBTSdMF7VdkKzISzkoQkAxf3tUHEXudnhymM0VoNHKgW6Vq6rl3CjaCes2u18NXRnjo hejDvTrMaH0qYaH6UNW5ailkpb+BDTN4uMmnBKy1Jogbf1MHy+WbAPaTc9vPMVOZ7r91XMqa idCyBp+FYsLe4sUmpVdwHztHLqAkzeG4QK5leWnsPSNaPYqrONhb7MHuCeglyDCcPz2zlOuj vu0P9srb5wdqr5QxENtkV+gQZj8JhM407czC8oARZhp9YyxHnlzbPaHzXouFK0yoZkSi+Wil JjhVixnvdjB652FJBkU7aLs0tINOTzOdY4xWrOaddL+os6cbqzfjaRIJCWYuzYtsW4k2doIy fSZr6pbTxRj3hqzOzyfUi5/FOwZNZfZO4/blcEDXI4rFrnEHxC2zqYIxhKqzkue7JMUYFTBH /3iZ3U3n//77u/hAFFVvP4mP5/8uztX/CAq8agGKvy81hT/FypH4HgPSZ+rt8U7b9v/+zYqh kbIm1wZK9AUCzna1xEV8ZePqE9lmS59p3NVrP9O1p5dXPObg5QLHnJO3X0/2YeB6R18rGW0e X56qRot0vF4dItXJ54UBYWsLLMtFzuhAOohUt6ixS1mvZNKBWpayxpNgpBK3CPPgQNlcmtu5 a9g/ggsyAVswbCtqy7DT6brU+Mvcf+L8YA1eHwuPAF+5mh0+ievHEwcJuwNrUvW0DrNz7k7N BvRWqZylckFLB4pYa9DIC4S8u10NAN+LmJwj1gUXHlyLTAisNqm4bAC9x6gz7ipTs4ZOCOy9 H/8fnu5bpkjKAQA= --r5Pyd7+fXNt84Ff3--