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 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 782BCC433F5 for ; Fri, 5 Nov 2021 20:21:19 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 59F1E60232 for ; Fri, 5 Nov 2021 20:21:19 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S233509AbhKEUX6 (ORCPT ); Fri, 5 Nov 2021 16:23:58 -0400 Received: from mga03.intel.com ([134.134.136.65]:42996 "EHLO mga03.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S233511AbhKEUXz (ORCPT ); Fri, 5 Nov 2021 16:23:55 -0400 X-IronPort-AV: E=McAfee;i="6200,9189,10159"; a="231925556" X-IronPort-AV: E=Sophos;i="5.87,212,1631602800"; d="gz'50?scan'50,208,50";a="231925556" Received: from orsmga003.jf.intel.com ([10.7.209.27]) by orsmga103.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 05 Nov 2021 13:21:14 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.87,212,1631602800"; d="gz'50?scan'50,208,50";a="450924127" Received: from lkp-server02.sh.intel.com (HELO c20d8bc80006) ([10.239.97.151]) by orsmga003.jf.intel.com with ESMTP; 05 Nov 2021 13:21:11 -0700 Received: from kbuild by c20d8bc80006 with local (Exim 4.92) (envelope-from ) id 1mj5i2-0008Ch-K1; Fri, 05 Nov 2021 20:21:10 +0000 Date: Sat, 6 Nov 2021 04:20:39 +0800 From: kernel test robot To: Andriy Tryshnivskyy , jbhayana@google.com, jic23@kernel.org Cc: kbuild-all@lists.01.org, lars@metafoo.de, linux-iio@vger.kernel.org, linux-kernel@vger.kernel.org, Vasyl.Vavrychuk@opensynergy.com, andy.shevchenko@gmail.com, andriy.tryshnivskyy@opensynergy.com Subject: Re: [PATCH v1 2/2] iio: test: Add test for IIO_VAL_INT_64. Message-ID: <202111060417.ft7v5mHH-lkp@intel.com> References: <20211105100501.1904-3-andriy.tryshnivskyy@opensynergy.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="T4sUOijqQbZv57TR" Content-Disposition: inline In-Reply-To: <20211105100501.1904-3-andriy.tryshnivskyy@opensynergy.com> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --T4sUOijqQbZv57TR Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Andriy, Thank you for the patch! Yet something to improve: [auto build test ERROR on 7d2a07b769330c34b4deabeed939325c77a7ec2f] url: https://github.com/0day-ci/linux/commits/Andriy-Tryshnivskyy/iio-test-Add-test-for-IIO_VAL_INT_64/20211105-180624 base: 7d2a07b769330c34b4deabeed939325c77a7ec2f config: arc-buildonly-randconfig-r002-20211105 (attached as .config) compiler: arc-elf-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/0day-ci/linux/commit/679e11158271ed8c6219060b06dca25dce946859 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Andriy-Tryshnivskyy/iio-test-Add-test-for-IIO_VAL_INT_64/20211105-180624 git checkout 679e11158271ed8c6219060b06dca25dce946859 # save the attached .config to linux build tree mkdir build_dir COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-11.2.0 make.cross O=build_dir ARCH=arc SHELL=/bin/bash drivers/iio/test/ If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): drivers/iio/test/iio-test-format.c: In function 'iio_test_iio_format_value_integer_64': >> drivers/iio/test/iio-test-format.c:213:37: error: 'IIO_VAL_INT_64' undeclared (first use in this function); did you mean 'IIO_VAL_INT'? 213 | ret = iio_format_value(buf, IIO_VAL_INT_64, ARRAY_SIZE(values), values); | ^~~~~~~~~~~~~~ | IIO_VAL_INT drivers/iio/test/iio-test-format.c:213:37: note: each undeclared identifier is reported only once for each function it appears in vim +213 drivers/iio/test/iio-test-format.c 199 200 static void iio_test_iio_format_value_integer_64(struct kunit *test) 201 { 202 int values[2]; 203 s64 value; 204 char *buf; 205 int ret; 206 207 buf = kunit_kmalloc(test, PAGE_SIZE, GFP_KERNEL); 208 KUNIT_ASSERT_NOT_ERR_OR_NULL(test, buf); 209 210 value = 24; 211 values[0] = lower_32_bits(value); 212 values[1] = upper_32_bits(value); > 213 ret = iio_format_value(buf, IIO_VAL_INT_64, ARRAY_SIZE(values), values); 214 IIO_TEST_FORMAT_EXPECT_EQ(test, buf, ret, "24\n"); 215 216 value = -24; 217 values[0] = lower_32_bits(value); 218 values[1] = upper_32_bits(value); 219 ret = iio_format_value(buf, IIO_VAL_INT_64, ARRAY_SIZE(values), values); 220 IIO_TEST_FORMAT_EXPECT_EQ(test, buf, ret, "-24\n"); 221 222 value = 0; 223 values[0] = lower_32_bits(value); 224 values[1] = upper_32_bits(value); 225 ret = iio_format_value(buf, IIO_VAL_INT_64, ARRAY_SIZE(values), values); 226 IIO_TEST_FORMAT_EXPECT_EQ(test, buf, ret, "0\n"); 227 228 value = UINT_MAX; 229 values[0] = lower_32_bits(value); 230 values[1] = upper_32_bits(value); 231 ret = iio_format_value(buf, IIO_VAL_INT_64, ARRAY_SIZE(values), values); 232 IIO_TEST_FORMAT_EXPECT_EQ(test, buf, ret, "4294967295\n"); 233 234 value = -((s64)UINT_MAX); 235 values[0] = lower_32_bits(value); 236 values[1] = upper_32_bits(value); 237 ret = iio_format_value(buf, IIO_VAL_INT_64, ARRAY_SIZE(values), values); 238 IIO_TEST_FORMAT_EXPECT_EQ(test, buf, ret, "-4294967295\n"); 239 240 value = LLONG_MAX; 241 values[0] = lower_32_bits(value); 242 values[1] = upper_32_bits(value); 243 ret = iio_format_value(buf, IIO_VAL_INT_64, ARRAY_SIZE(values), values); 244 IIO_TEST_FORMAT_EXPECT_EQ(test, buf, ret, "9223372036854775807\n"); 245 246 value = LLONG_MIN; 247 values[0] = lower_32_bits(value); 248 values[1] = upper_32_bits(value); 249 ret = iio_format_value(buf, IIO_VAL_INT_64, ARRAY_SIZE(values), values); 250 IIO_TEST_FORMAT_EXPECT_EQ(test, buf, ret, "-9223372036854775808\n"); 251 } 252 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --T4sUOijqQbZv57TR Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICM6OhWEAAy5jb25maWcAnDzLcuO2svt8hWpmk7OYhKSerltegCQoISIJDgFKtDcsxdZM XMdjT8l2bvL3twE+BJBN2XVTlcTubgCNRr8B+vMvnyfk7fX5x+H14e7w+Pjv5Pvx6Xg6vB7v J98eHo//Mwn5JOVyQkMmfwPi+OHp7Z/fD6e7yfw3d/abM9keT0/Hx0nw/PTt4fsbjHx4fvrl 8y8BTyO2roKg2tFcMJ5Wkpby+hOM/HJ8/Pbl+93d5Nd1EPxn4rq/eb85n4wRTFSAuf63Ba3P s1y7ruM5Tkcck3Td4TowEXqOtDjPAaCWzJsuzzPEoSL1o/BMCiCc1EA4BrsbmJuIpFpzyc+z 9BAVL2RWSBTP0pildIBKeZXlPGIxraK0IlLmBglPhcyLQPJcnKEs/1rteb49Q/yCxaFkCa0k 8WEiwXPFAxzQ58lan/Tj5OX4+vbzfGR+zrc0reDERJIZc6dMVjTdVSQHUbCEyeupd2YnyRSf kgpjizEPSNxK7NMni6dKkFgawA3Z0WpL85TG1fqWGQubmPg2IWeMTf55YoMV7eThZfL0/Kq2 2A4KaUSKWOr9GOu34A0XMiUJvf7069Pz0/E/HYG4ETuWGVq5JzLYVF8LWphHl3MhqoQmPL9R R0aCjclaIWjMfJMrfRJwbpOXtz9f/n15Pf44n8SapjRngT5WseF7wyIMTLAxpaUgIU8IS22Y YAlGVG0YzUkebG5sbESEpJyd0XAMaRhTU9tqSDsRjDJ3anIYUr9YR8Lc9ufJ8el+8vytt/X+ /gJQoS3d0VQa62p13hZKHxt900KUDz+OpxdMjpIFW9BnCjI0tHNzW2WwCA9ZYDIOVgcYBjtD lEcjjSnYelPlVGiWtGi6fQ246bQ/i1qO4UeMXQArbQPbiQ1DBmCRZjnbdarKo8hc0Z7tvKEs pzTJJPCeYltq0TseF6kk+Y0pjAZ5YVjAYVS7oSArfpeHl/9OXmH3kwPw9fJ6eH2ZHO7unt+e Xh+evvcOBQZUJNBzsHRtruyLUHm/gII5AQXKgmBn+cAvnWBCJpSzC03pfIC1zoaBKSZ4TKTy W83W8qCYCEy10psKcGdG4JeKlqBZhqoJi0KP6YGI2Ao9tNF8BDUAFSHF4DInwWUEqCwJq8Q3 5WPvr3MF2/oHwzlsNzDY8gOtsYpgQ8PaZFupibu/jvdvj8fT5Nvx8Pp2Or5ocLMmgu3OYJ3z IhOmRoBTDda2D7GI6/UvEWQsFJfweYhGjAYbgcbf0txkqcGEdMcCemlmUKkRJW5Zo3mEzKxs +sK0CRPBJbx2vCiBCnEiA30YEciGBtuMs1Qq9wZJBr67+sRJIbleD9ke+LFIAB/gLgIiG5Mc wVU7D10lpzG5Qeb2460SvY7kuZG/6d9JAnMLXuQBVVH+PFmo8wV8obDyATfCRTiWUQCmvDU3 pkn5+CyzMdStkCG2Uc6Vo20M8XxIQcUziDzsFhJEnmsd4nlC0gDz8xeoKz69NK+AH5AJ+04u AdfLIMGxLESsqUzA+7QBDVcjrQiXKKI610BxGResbCIwTpCDHm9RVM88WigRsPNCh98zCwUU MOgkNOM22+222DolsVlZaCYjywh0chPhbktswOchExNm1BmMV0XeC54k3DHYQiNRgUwBE/sk zxk1aoqtor1JxBBSWalIB9VyUtYp2c7IgZUO6EBs73QbJJiHAEZoGFJDSjrhV+pZ9TM/DYTp q10CPHArb8sC17EMS0eapjrNjqdvz6cfh6e744T+fXyCwE8gBgUq9EOado7n6LLajeKLN5Hs g8u0E+6Seo06e7KCqaqkiIQibGuZUUx8XEXiwsdUL+a+kX7AaDjxfE3bFMmae1NEEeTxGQG8 3hkBh4+mfKoYbVWt2bldRHYampsZjM47INGPYrIGOy+yjOd2mbiFKDBE1OGFQ6kJwRcCVqUj kqmyXZ0gCqO8UQVLBYtJ0HIoWVUuaLipxEiMIJ9nXC1aJSRDpiVQreUQm0BuEIOGBJs9hRLA ZBkqvm294fN2tCYCUxNyuvvr4fV4p3KdQceko8oeD69KjX4Xz8Hv/vPhdF8n193mqgz2Vknf dXCH1JGQUgxomnMbWajzKoKoaZQyBpa2NAg7VHesQ54z2JfFlsqtl3MHi3IdeulYR1nJIqVV AigrkCtSX/mPNGQkxY0DdTh6HajLqb2KBlWqEQMWwSJ5vTCxqh/D2lHWjhQm1JhLa2nrEvaK 9ZyBrbgaUonb68WsTxsOaEOUVkOVb752/iFO/Y/NM9hAtXNHdUejvZHtaOS0LwXtPFSiUK3w SGsTuYvtyPRnmtm2v0ijjrqnEIMDjfF4r0gj0A6h4sil9LUVLISzYIQdhRZ7klHT5+Ga3rkz lhal+u+2PYRVewgWBXi0MQLVVwDfZR/2dkfCsM7Grr35oieaIs8h8YXt4vm+oqGQoVUFpCSQ l1DMAje31+5AVagke5LTaqN2NDp36GOJlMKobh9UvFUo/apurH2yJXnBKbbzQBYKDjUhZXXL U8pzqD+vXdeI/cnAG7Vx6WDM/uX++BMWhrg8ef6pFjACv6AQZEQvCWGgORAYVOSTPdQWYD7t D9jmVKIIHZJ0XNhwvh0GEnBVuudUyY0qznuxbOr5TPd7KjNsSq57Or2VEh7Wg0RGAxaZrQRA FTEVOomhcaRTNyO5Wtct4tqyrs+93RgWAU0NtqAHoVWSN8lKzZ5KbrG6AywRwiyNgBWmcp7I FLOK/WYuhMoti9JqB2obdp3rgO++/Hl4Od5P/ltnXj9Pz98eHq0GkyJqesFWwnJpbD+reUd7 ugoQ8gdVHpjHrpNjoVLFa8OkmiPAMvLmcGRO4QxASQqrqe0rSWEmJlLXLH3rAJaBwRWpFm7d l7Xxuv9T4y/h0LH7nEE+NDLYRNqjz90TfYL0n+Pd2+vhz8ejvmaa6LT59cVMF3yWRolUioqX bjVaBDlDG5QNXrVIbJXNaVgkGZoUjXGl2UqOP55P/06Sw9Ph+/EH6kSanNOwuPoiwOwmtv4m i8FmMqklBTYirmc9uwrUALygVTEypyq7hGwc0yW2znvrwf+kUpemcmlrMmEw27ZPE+XyEtAg FW+uZ85VlwmlFPJxqIO0UW8TS64xJelYGhSYtzbwS11RWcNbYITZhsLqJoE9C4QlIq6XLeg2 49woU2/9wvCjt9OIx1Y9eivqOg4VsfbFWs7KaW9xMWvnpDIEM3dU4dksWJWooCowPdu6yHo3 Zd1MmaS14yZmwa0ORF+mmY5sXB+NNh+Vg8gYHv9+gPo0PD38bZe+QUDMNloWJMCGXWIrCHAC HiJgYjBzFny5gyJi8ufp4f67bvWeQ/HDXbPihPetpqj9/4bGmVnbWWA4C7mxrut2Mskiq0iv IeBI6xuJcxkgSRqSuHf9Yd5x6IUilic609H3k4PNRQ+nH/97gBTl8flwfzwZRr/XEjFZpyVo TTehVbZ01LpN0uwO73l1lModQB6LX6D1+Wp52BPYk2qPth7P0DZQ+/0IrgftuKl7IGHOdiPs NgR0l4/0lGsCpffNNODCEr5D76SS6isX9h1fO0s9NKMoVnCVcBpaAfmwVdnXv1fMCwYwkSVs ANy7A1CSmO23dkIz1oXKXW3g5ENgJopMzVCoiKqeq04GB52UoZnUN4VvL5N7bbeG3ZBcPR2Q VPl6nlex5Y996VYkw3pDGlMyk3jDBIsZ/FLFGVYJfQUNrKjPPOs+ZsOUrFGlNPk17oTTvg63 U6Ft71Aah8Qj8+dKnX1z9N0sAAbNVoUGFkMAq8KzSq+smSjJ4xscteX+HxYgvIEKhllc6SAJ tmnBLG3gKtEGW9+BOljJQY3g8c5eFUwit5pNGcntvlgDgFNcrZZXiyHC9VazITTlkHAEbQaW 7iBdF28/fz6fXs1LOQteJz4PL3eG9hld5rk3L6sw41j+BQ4kuem/CmCBuJp6Yua4WDiF3Cmu hDDkC5YSc1GAU1YCZIGZYGulDDgDY7I79RqhHjDkGR7cSRaKq5XjkZEGAhOxd+U40wtIz8G6 rjQVPIcUHkjmc8eKQQ3K37jLpYNO3JJo7q5GWnubJFhM51hvJhTuYmUZqMhJgk5Sqi5uWYkw opi1B57Zt6QUCtpk8tJpSns0Gg6H5s2s+4waHNM1CW7Q1RsKqOYXq+X8EsnVNCgXlwhYKKvV 1SajokT20RBR6jrOzPS0vS3Vr0eO/xxeJuzp5fX09kN37l/+gqh6P3k9HZ5eFN0ESsTj5B6M 4eGn+tE0mv/H6OHBx0xMVWTCTCOWFDIKyGQyIy+kwcaIROqG2epOZruMpCxAHbRl0/VVfSBY AxketkKqCtWUIjagfs1EKZ2406vZ5FdITo57+Pc/wykhO6J7+Nec8uLIeu6nn2+vo2yy1Hpi p38FVQxFHxZFyhXHlt+uMQK8paDbOmk4G73GJUTmrFS4QXZYvBxPj+pVyYO66fl26LnKZjyH nA8yJNyvaJI/+E2PwELTHWD7LNNdXUwZAhrk+L1ltvTG55DtX+BEMzvKCPAp1AseU0gtrCIp ZNt4H/JMM8UXPxOEmCEYaCNZ66AB93OCwNeRt8XAufl0zgJXCYqB0iCGrFUiOH01Vd+W9FGC haDraWjfjXdomYR4oDrPrTugl+SxV7e5HJ8/gTo2ju1LkgGL6jEIz32Me4XyrSvgM051IMwE 97ypPQvhFwRzu6HppsCOKfSvMKGThAZmL+O8RpH7HNLfqESQRMwd10UQysZ61Y0hxngLp+gs 0QylI/u6Z/arwQ4TCUYWWNpd241usVpZaw1R+Q3U/LA+JC+z8eG8CDYigETVEIcBrFarLFkt nBLHknAJCeMlnF0Z2XhrwxYqdx3P7YcunFTneEmJZYwWXcGrjJUBy3Fu/MJzHXc6xpFGe1fv sqPezqruNgvS1dRdvcNUcLMKZELcmTO2bk2xdl08xbNJpRSZrrU/SDv7GHFIrhw0Q7SIoJKB JAgX7oYkmdjUsRlBUyrZCGZNYjKiezWu0fMRkjKYOs6ocKPiDyZF8c7O1pyHbISHDfhhmo3g blT9u7mZLcpyjAPIm72xS/cenaRYt94iUs9bcV7EQtwsF+4YG+sivX1fD+hWRp7rLd8njEfu z20i/EGbSaOdV7VfOajzHFKO+hqoDVx35bgj2AA8u+OMIBPhurMxyYHzgcKwSliGv8GzaMXa W0xX79PpX97XiaRcFDHUhlhaYxGmtNQdJny17dJ9z7gzmrZNUOwkoWiK5Lx0FqNrsDXHm3wm lf45V89f3mFH/7zXHySgE9V+/n3tCuVqWZYfCjP7BNw5VhNa2yyh5srruIaivTmO0T8z6en4 g+HFbDWmn3D+2geOHjAQeI7zvnrWdMt39pgnlRRjSwkWU4J13mwiMW6oQrre1BvDJZH12YaN y0aiiyjSGRvluFwt5lh6ZEkmE4u5sxyJAbdULjxvNHO4Hcu0rXjM1bswVu2i+cgx53yTNFnI iJKwr2JejvGonjCbQawpyXp3mTW0TfkqnkJZN5o6arKWqj8zJH/urBzOXcNHTa4hkoH3/vp1 5heQTG+0z4APaZUpy6aynZYOSFFKM/uvUbCZq5lbZfu83k6PJ0CX4Ct2+vke+pqxpWOBpuwm 6lX85erKm3dC69fICVnN5niuV1OsM8YrH5IOOs6DpgmhxLHukAyc3kUfsy3lH1d9YE7XRaxv AzYgaLNT3eJlobaKy1QbjueuLIr+YZeZB2edoelNM80+XjgzB2e7QHs0GYkTdfs5xlkWgKUt plM4rwLBrebLGSq5nKsvmlQbmfeK75ooJEtv5TTCwm4NWjKVUuOmo3CL6ZiG1IGo4ljt3ZpY GU9x29OId4wP3Ii3uMI+S+jwC28xOIYgIVMrh7LAjcPvCyvfaTtHpIVRLubvy1XTLVu64ZLq YqrK+J7ml1wLRMJla+zDOYRURu6Ouqc8YXVldRaGBtl3hAoiEr8HiZzpENLFdxPuhU2ft09v tigaiNeHTK2aqIFhYbBBkf4E89kAMm87hpvD6V5fILPf+UT1U61XcdZO9K/qv7132hqckXzr h30oBMpMeH1oTvZ9UNPiRogBlNRv1u0B6rXokJpkzYJGf13BeZwFgBT4pz/NzlTuoSZFL3cU hfYqvfkLjUKGqMZVI6nzHWgDq1Ixn2MNh44gtu4ssFPq2uZYU7xu+v51OB3uXo+n4e2xlIYr 25kfpnNQ01hfUKeifrZkWeZOtiTYE9J9izQnN8DqXVZYf0PQii9l5RXEHHljvgvU90ejwOaz U/UMtsWFkBzpT9HUo4lWt8Xx9HB4nNz337o03TZ99xtYz7JqxMozkxEDaH6upj6SqmWD0LmL +dwh1Y4AyHrWaBJFqme87etqix2XskU1MneiK2UfR6Z5VZBcqkdnCDZXn+Mm9BIJLSVNw973 fObqJIWDAjXGnL9JSESmHpXt1Fo4r/olRf8i2T4SSetX4e+slQsycqh7cFM4yg8SbzWdk6Ic GzrGVi691QqrQU0ibr1OMTHgrtyV3YqyBCwX8yVW/ZlEYFrZhvW+yDPwqnffuyFEqPQLk7Ep QD5Lb4n1exoqHulvUdS3hq1Vps9PX9RgoNbmqe9Hh3eO9XiS+BAVYsd1EBbOSMxaBtSqBBnn NKHCznhN+PvWGMSZWLruUE9axNAzNgSCJBB51mPw2g6r2WW8+X60h/+AaPQZv0tQyQBrvzYk LBnuHWCj21Y4wwP3V1S7Un3U8QXFBlI/NhSLBp99nIfjz2wN5FYTtLxdEstGKEOdeuUFQ7dz SwM4KplEJJgeiuQjR6mfvyi7vkS0k6u5g79hqa0W80sKOK7ELKq/Ah1IUyM+wnkMkZJdcOJf kVWDIC2HnNbgcV4Dd8HEEvWuHW7kKUZrDyzxaR4SVIHAKS6mJX5P0PqiOt39Q5K10tLxhRpC ND4aONWq0PF2EK9NIp8Uofqe8dp158afUUIoR1WzFJBlYcx0mNGxzbujTLS76QvFJviIyiSQ i48Sj5BicSS/cNSRANXM0D2fURfcCfxGS/0al61ZAPkp1gpqtQ/qfrvJZyE+JBLVQHSn8wuL ZDmWuCnw+2IUMpl6Q4tS0HGl2VG/wFW4Ro0N5PsYYRSgHxEEWOcFbWCxT4lqSIl+hdvHVq1d DSRtUaEctW+l7Dqkv1og81iXlgNGUvV3vtTzdfNlflptwthSkjWPw4hB3IKqDtlzWsRxU/D1 96Dee/de8QZdgdj86QSjSd3B6s/Ezh/JaqjZv4wR95tl9fOlcy3JcjkmuoaEZQlr//gU1gFS 6G0gKj8x2jVNVaHgmsBCphnkrODfcaw5YRXovy9iPQy38L3+SLOsL/F5/eYvxdRPhaL6/XfQ Fc5Qb4c8QUD1341g3Ho9fMb6ZDZ1MQQrs5kd4/6PsS/pbtxY1tz3r+Cqr31e+xkzwMVdgABI wsIkABxUGx5dFW3rWCXVkVSv7f71HZGJIYdISAuXzPgCOQ+RkZERM8ZbnrYxnRMACa2tdtTa ODONCwLxPZOcFz8u+xv60+x8V9W0jnFmwp78gOUmu+t62vPVzJTABBTl7xk5wwEqY6ef4YUL voBZPZjVKt1dlbC3v7I6E5/WwJn44lmk1DXDsm1Jl7SORz/gNxZl/hpGG+1ApE/gv4YeaiKZ 8eWdIsEOVJ0NBKZL0kpXYgLCTl9i5UQwB0qVkYNFZKsOx1q5lkD4CKXGR7pnavEbv+961/3S OJ5euhGRVb4gjBR3sDSik0nRTnSki4WYeOst2Vm6Hk5Q5w4N3x5gj0dXP/zVj2ZiiuKobvEq lhhbiJl1QmtK98usY9hbXWoFRXAPX0mWpUAsmc6DPwH48fT++P3p+jfUAMuR/Pn4XSiMlFHc briaFBItiqzakVakPP1x05MS4HT4d+G7ok881wq0Al+aJF77nk2lyaG/F1Jt8gq3Yupj08N6 xNNM+Hgh+bI4J00hGVEvNqz4/fAMDhWccqW7UnrwxHqg2NWbvNeJ0AJjj2Jmk04Zn+sYenOf n/19qnv7YKOROYtb/Qcf+3DJZvXTt5e396d/Vtdv/7l+/Xr9uvp14Prl5fmXB6jcz9pwYYcO Q6vxDVXtj7hf084rGHg+56bkBmWeMmOSUrXFGsk3dRUr1DYpu34jExOc+bL4xoZFfIQhkSvE DN1CsXeG8qqqgF0RH82ooFETGcbzhUzOyuzoKCS2uyoNodeATePRXepvGXqblRnQUQWc2uWL a0bvlHrn5U4lwCxutPUrrxtXNItA2m9fvDCyZFrRJKJJN5tiqv6OEfvAN5zEORwGDqW9ZOAx APlJKQwcc9U8BoHSmEmNPU3egiIoaVoY5VTIBJi2Yo9LaTclDEj6TovBlWkVbc6xltY55uPO 8Al/cZXk6nfLGifkaPPccImN4I1rbrvOTRzPpmQmhu4vJSx18rGbAXnZZ+Ys8ahrSlJZN5l4 u/W0DBiZUsAz9FAF+aVxTlpbgXx4ewDJnzzLAK4p2yfiZdOQ/oyQQVD0E9TLVqajS+a4zwtl fTmVStW5OkahFa1KaNbqHGlBnv335OkBxJ5nOPwC8CtsVrBZ3H+9/85kIfVajg1C9bUja4C4 7i4gzY6J1u9/8g1zSFHYgtT9Zdh0jUNh2+WkyGbcIKV+1ldpRhrenlEIvlrF16vq2o6Po6kd Aem4d1P0UQoViqyV0hUW2CStOqRcSnTvLD5LPsnk+QByTASEbMQyb3LGs08MKucmJ4bt8Nxa 4MJzPuwbbhCSimnEUQWO1hwoZAqnF3GzgR+SEMxtHKCTH16e319fnp74GJnJT4/4YE8cNpgE SsREKZpGdEfYdJMni4FU9c3Aw8+LTTdmoMvu+DmcFdH3wA074YvNIYDsapsuy8iiPxGesWFb n8ozOPh/eRWLxNG+gdK+PPylAtkz84nS7O/Qezk+c6uyHh3NX4DEtBNdH5cNesl4f4EiXlcw P2Gaf33EN+ww91mqb/8tPpnUM5vKPknhA2F0kjQAl8k38PxBKd7PCvwodm8PVaLc1GNK8H90 FhIw+H5UizQWhZnDraWOGxEQUqHlaUPeiamktqER3ZR2FFlU4mkc+dalOTRLnzPLNIf6fLhb XixamTSO21mUicrIAjLzzeB9Xvu8g8FAqpEnhrPti++UJnpfbs9UimV8DkFYo9aGkYWbEepp DvfcOlAnWVH3ZG55AtWDyl06nECLTQUC20Kh9DOMjFx2lCWXyuMTY2+AAiptdtSxyWtJicUl Eh6urwyAHRnyC1xnabQwDj8ypBo4JsD0hROQBWFHucuHfZbc7So4tSlaBo2tMrgUnuBGy0pj cS7S6iR+ywFiYLgGJwFTC2QtyGaXzc6TvYrrJdTPJuqkOcd64YDo+GTZEAmX0itFn1JTjZrb yAo8srIIRUtzIG9uPcsmV9mcp7vYBIwn/JAnsMgHgEK1Isch5xpCQbDcYcizDpYWrzIt14FN TEf89BySbcdStYMPir32XTrVdWisz3q91COcIzCkuiYn5m3SeYZ3LTML3iegoIdC3kL+nLHb cEZiE0lCW9QYCHSHpkfAT+1GaQk9S9Ijj+irLj0zy1p9PywD26HuZGeGyPbJzR4HnuGRgcDi +kuDq2jiDk1V8lESbEEKfLt/W31/fH54f32iTk/TNg+yURdT+ospe/TRSHUDoyuKJQFEyUxT AU8LzXZQXS2tXcDTRnEYrtdEZ8yotwSuyVaf8JB+RqynsyiZTFw+MZoE1F5AQ3JezR/TDmt0 Plp5qvMFS+NVYFuskfyMVcfpaAs6X/S55g0XCxMvod7iOHDj5bWr/RIvtyswfGooe+HyePQ+ 1SseKfjPsPupRJbmjZcsNma23O/eB601M24+ataK0t+K6XT70LGILXDEaLlkQj+e/8AWLh9M RiZCyh0x19DYiPnhQgnDiPaipLEtyQkDkxsbBx8r/8dLDGNbniqc7aykNQYiMmxM2vYxGc1q 6eu2A+q3qFQ+k+ItQKj0X95t0VCqS9bRojynGEpJ5K3nrI1QYIRCj5TXBvCDgcq49sszn/GU jc3Gm4L1+SWvxzgIWuqjrlm7KCyvXx/v++tfhKQxJJFhmKFSNDOapEkD8XIkGhbpZS1pUEWo iducUA2UvRNa5FLFroaWGosxkKeSso9oAzyRwSHaGEtjkyt32Qfh4n6MDKGhNAHsix9VxJBr ZAfLn0Z26Jo+jZaXC2RZL+2JjIE6EfWRG9B036ZOJX3grkNRVW4cldqnaItBHJDhMBMWEVGG Y94BRfSQMk2gsjmGoUXsmtntIWcvysUoJigXS89SBgJzbYjucIconL49GbjXW0XWHj/J21s5 TCRXa+rMqptlbsihWO1NRCWIhAhrcez4e1zFHSsjomLPtWZbE+7X+Nv99+/XryumXdGWDPZd COv06I1VLpvRpoCjmkJOIOvqPomn34v+k3id4MNN1rZ3TY4xsRRUMCOQs0PgvOu4vsqUn2Zu wJsexmQlGg9yqvb+hD8sP8WNmkCWJ5oRMAdoczpuB9DjH4u8ixW7nDBO4HBLDLfBUEDOaV+c KL02w/K60fiLepcnR2Mjzi+pFCo+21DH4iYKulCjZtUXab3m1Ia5DlCpzKJAJZ7VmcDNCEQK u9cSekbCzvoAwktWc28pxs8yCLJT7KcOrD/15rDAxl5uLOE1pQjkWIU3UDDf1fWFGnawnl3O JzLI37goJeIrTUYcb8o1mh0FKnl0yCJnS8ksMse4mJsKdsYxf+nU+TVdnMupnQvq/p4vLGV6 2YpuMfhgT3vX8dyzvHMZl8fJMItRr39/v3/+quh0eGZp4/sR+fiYw5W6iu1OF264pq/berMy umMcGcwMz1WnzUCVXSfPSKhnw/0+GLPpmzxxIlv/DgbD2lLUacIFutJ2fEvapnqbSk3W5l8k WzG+eqeh5TuRTrUj29fKxejkDcoAQyvY5UnfiY0O34Z1LgpdfSwi2ScFyqEPZbFn6li8gVM7 SLl1G1Ynv/cjV5/qhROp9hjyUlA2md5nietHa/pUNvQ2+vyJaG/BM8favHsNuKMuHdyZiULl bj2kaakPETZ0jo+v7z/un5bkmHi3g3UylozreHvXyRgFZsiFTG38hvmqZ5nav/zfx8Fqpbx/ kyMcnuzBmOOSdo4XCfWdEWm7Ej+wT5IB2gwZhKaZodvlYkWIEool757u/+cqF3qwntlnomAx 0TvpbcRExipavlJkAaK9u0k8Nn2GkdOhx53EQx4lRY7I8g01cC0TYBur5n6i2C612Igc0gW9 CEjmmDJg00CUWZ4JsUNiaAxDQDg1ohsY5kqfDAbOUIy5WIiu8wWqHnRGQvenknx+0KQxZ5QW pUHUjdPksol7GOCU7DJ6jxo/HyvPfQJhRK1Do5G1vFjEDEYlshgyJ/y+ogHTDi3GYbO3AqFX xk/ipI/Wnh/rSHJyLHmDGhHsYVLpJTKIY0OiE4VgdEenF9kOTiNHV0c0W44R6Dbyi5uh/t3G EHMirmICVxLd3KJrobOe2wConpJUeJ9S75lVrrS/HGCcQU9fqmNJNrxpjxcYJAdqU/czf11E 74/0KavRs5c60iSGKLpsD1lx2cUH8l3HmDx68AylfVNBiD5niGMTY9g8ukfHYDrCJp9FACj5 OCE1VAyb2JwiGzFEir0biBd3Mz3x7MApdIS7LKlZKW0v8AOqOFzcMtzqTUyNE8iOjhUGflVe bjZUFjAAPdun5SqJh7zcFDkcUWUsAqFoYSQAvu0T/YlAJF/IihB9CyhyBGciVai+65FdPri8 o1Sc47BkQx370lnL74omhuHxLdmKI1Pb+5ZhTx7L0vawHNNXOVNFEid0KZ3bPCkHb2h6IxyS zrYsh2jzdL1eSx7CKr8P0A2gvG/NGweuK76oyGSbp/ITDs+pShrMnLkqkvuCuX8HKZYyP5ji oaShZ9MXShILJczMDCW6KJ+LIwO+CQhMwNoAyBKZCNkGbz0Tx9pR3n5OUB/SLyBkDkPOAAW0 PzOBIzTnHNKOBAaOfW9bRFOg/RpFTmTd2ASc88s2Zj52+rYuyLIw7exSUfpzQySN0a6aY28E LnERt2VHZZnAP3GOwQ5baltQ2ZruoOeSdtJ5eSbbvCG0TAdXk3T0i5EJg5SciUG7Rasnf0ul i1DkbOlHjDOT74Y+LS+NPDvSFn1CC9+ORANAAXAsEgCBMibJDkHlD9IqHdnn+8B2iabOUaE8 LE9aZfI+ov2jjwy/JR5toDIywBrZ2s5iOCiMCwmCA5U/31WWZhjnCPV6DYD8AlgC10RrcIBo WSar+MQEQsCxicHGAPnaUII8eiuTeMizhMxBzhIUm5yl9RQZAisgis0Qm1i/GSBaG4vAOjQU w7VDd6kSGObKMNUZ5FKym8ThEb3FAJ/oXwasieHCi0oNiTJpXHJv7JPA9why0zluFBAflFm1 dWz0i6HIAxNDG/rcEkcfDmVAKUhmODR8trg/AUx2HNBp1c/MENEWlwIDLc0JDMsliwwlI0Vt AaZnXGk4JwgMvkP6jJU4PGoFYAAxlZokCt2AFB0Q8hZnaNUnXJuXd5Lmc8KTHmajSwNh6FO5 AhRG1pK0M5jDkx93sessd3qdJJcmMjoGG6u+jfy1bFJS0i52pk9OJb2riXfLhjk1KtSpKnWb Xn3dqHKAALc0TAGnlgYgu3+TZO9vsiD7PqHN+Ca5p8xgJV0aMFmZ2J5FDAgAHJteVQAKUJm1 VMOyS7ywJFfoESONVGSmjUutul3fdyG1q3ZlGVC7E8h9thOlkU3sQ3HahZFDAVDLiN5j8ip2 rKUtBhno+QCI65Bv4+cNQn6VMNH3ZUJao08MZWNbxLbG6EQPM3pEZlU2dDBRkYFuGkB8e2nP Ofa2YxN9d4rcMHR3NBDZKQ2sbXKKMshZOtgwDqJRGJ0YQpyO6wnaFpF4EUZ+T555OBhUy+cE 4AqccL/9BFMmc6k84z3aQGcbQix7CeIkFkM97wzu5EemrMzaXVahk2jUXdTb7YVZLF7ghGep zNqpYARUJz4KfGpzFrTt0rd5Qx+WRtY0494zdvURKpA1l1PeGSI3EV9s8VjJ3B8vVFn8gIUU Z+H6tCZVEqSq/flCIucmrnbsn4WyaWWaUkqz47bNbkfOxdyy8sDdkC/kJAflZmED5rE0UNHj CEWMylKn37g6bbz/poZp12Rxu1id7lBF+SLH+J6WYhpZkjkXMXtGh5HvLmZwk7c3p7pOFzJI 6/GWVax5DD/TWKfzJ8ZES/U3AnEITPp+fcJ34a/fJI/sDIyTJl/lVe961pngme4Gl/lmf/hU VjyQ+uvL/deHl29EJkPRB5M7vU5osFd1NL2TO2WMgm7KzBBx2FimPmeR7anVkRxRA4iuZYhh jGSPJvtUHmkbw7GNHljG+Mdklbv7b28/nv9Y6mETy1hK8eZVGWG3P+6foLUX+nZ+X8g+L4Xd c4b6rGy4VlDsS2Pi05aGjwKI1jvFfbJPa2qZ7LoN7FNdl28k16eiORljYZ7+9jW7Bp6453VF YjFk06V5raZAwGq6aZsfzRdjMPJjIkEkiwkxNpZ5R1q6MnzIqcxFxw48g20Rd3uFWI1EOZex vGWcXJKS9twtMZqeiXMmvK0Q4dkX3u8/nh/Qt8UYdUMbauU2Vdy5IEW/c2fUzg1l9f1IdQyv 45gLFLTiIxWP7Ou4d6LQosrQr23YlSVnvJyOAbq2RXZORM81M7QvEjFWHgLQTP7aEm+bGFUw VRNTUa6iZ5qsxES6an8209Qbd9bQaIxv0/rGCScfZExo5JOJrmmFwIxTJ0Pee3kiv4vAPsP9 0iUfz4+o78iVHu4DiEozxFSnyfeHSnM1mvLqGKlo1HoDJ1pSs8kY2Asr/qpYTnAX9xl6hmEX BWq6cIJ3z0bP6oyDXWcr/a7HaeRkB7arTqPv8wBOfMrD8AHw/fMITAXb9+h0CruLKBOCUFpF v4KpscBa9M05wjewi5BWjgjyWHyWXDxO9AliIBtq8Llwtj06AMgAj5aa6mdAJ8/mMyyaT8/U tUsmFnm03nFgiNZkiMoJdXwtr2gtalJmYqQQ+8ANLJ2mfTwqpWVy1Z8zhYTB8WSKbl0yBaKT ht1ElV84sCRK+Y0A0iYPB0r+vRe52jagGw6IoG5ly8g3Eem4h2H8cl8pUZaMO4WUUJd7YXDW 4k5LHDDOMz4j1EVcUE2K1NIXI/tOJM0RAENu7iIY6PQ2GG/OvmUtlm6wJubSZ18+Pry+XJ+u D++vL8+PD28rhrPzwuvv97CNp4QZArLoQfhGcfXzaUrl4v4B4aihNMT40EFqBBDy49J1Ye3q u0S5GZYYi8ZdL8xHtHyK6HuPIZuipOK7sHE8GnnPR4+mC2zLYDzE7bFNYdCHAK2GrEZbbq0Z GJ28Hplgx1amP1ZqtIDXyX6gbftjEExzMyFDFCyWfm0rK5NuXS5Sqe0dMNgiXFpr3p8Kz3KN Q3+MwElN6VNhO6G7NGmK0vVdRU4YDPAV4m151rupqJN9Fe9I93lMMlLfSghEo3BneFHOKlT6 tkUvECNsGIccxv3GUNST5sxmoHqkF/cBlDSaM42q24n5bTGG+JzKYK5915+8iAx1zRZ7FoYY H5aoe9CIyA9U5G8MCAj35/Kw1ZZqFgKkaJgrQ/N6DDyMQ5EbhyidKpH7gpOOIizYMEmkWvhm H6cY8Z0MXMWPZIM120WVB5hKgAlqkagJWDz/TXq6MRCvpKSbovNqJ0uNY5ufMSxeXfTcdERj wAAOBx5dpjuUop3ezIO6V6Z6XeQCGXMH65kBKpWXcwoYkPLdzIQn3ki86ZIh+TAsYKnvihKf gFTwp6FLNBx6lws0HrZ1ZBpaVNLsoLqYsnAYJhIYnn0tp6DOOgU6k51EvgxTYJywi1mrZ08Z kd1IKhglnEostkO2NyCObRhbDKPu9YQZEle+68vethQ0MhhxzGwGzZYQR5udJuk8OHb0yWOy xOb7ZM/lXQFnbEMNAAyc0Kaesc9MKPGFhuIxjNJPiCxR6JBFU4UmGfHJCT1LVDrEBQgTFMiO 6GYQz7k+6bhG4tEOuypKHnklpijw1sYUjO79ZK5ovTwXhgOxOZs16SJO4fENk3E4O3+inCDU fMzFNAGfYvu41iGa5VCdzzHRzlrAksaGjjPVtvE90vOhyBJFvqlTASNleJHlNlyL1rsC1Aeu bZh2DKN1kTKTwZmSzETGiFZYyGk16UcMCZMvKWQWUZUyI+pzXwHZ5AYgiWGjNxRmVJ4sFqfZ RmeL7Ipme/iS2QbsCDtAYIYiU5EQNKh+Zy4mH7ZNuV8s+fD+JkVOqiDTxZMRPHSby1EK8jIz iAZifX1I9l3SZlkFskyfV3fkF5PKSIdU1ZAAgehP0nsvsgwTgeuzFhunhfxMgxQwhzSNFlnK o2nd75yyiS36+CxzdfaHXH4ZhaQfJIGHPc2h2qgrdnBCNUnR/Ei0qWvVwb6B89hm281hS2bE GJqT4dAxHLE+yIMdJy/HskwMqdxFthXQzkUkrkiLXEZzhZRdx8zTN51vBy65e6D+xDGuclxf RL67VplCUtKhFFEKarvLApaulFIwSVOkYWStqajewrkQrb4WyyQ4L6AXnCLe5JsNaX2i3Ce2 GBlCOowVORlKtcWQFUmd8nP/xJ23lyqbIOK7nC1YI8OcMaMHJP23YyLQxay6urqj8pJ44uqu Xi4QGlA1ZNZlgvdmKYmdS/qbnL+Lo+pXljrAGvKYJ5najhkZ4zBvxwheCnveZ5ckNzbDFkNU 3tAJjnGWBIocxRF7lQfqMyV/yqtNXaVqCYTKn0WrWdZMO7UGJbRGfKK/R3B/Ir6oTFGBOPzb cRHGEWTOkA0MtdR8RFFlT6jNbQIDqc+Lum7QYYCSDnf8RTZiq4QyQkcH1TlXpwSLAmucDGTK SaYuA0ip6j7fSiGIkNrk8m1GluYxA8hVYvjiAgINHoCr3wSF3PQl+muo5SjOrET70HWoxRhB NmQvcS0XjlN3thNrkHyRx7Ll/kZBFmgUoM/VsrCN2FAUxW0Vr9dcJ4oMs7GQwvWM6CZtjywk YJcVWYKfzy43R83k+z/fr9KF1tCScYnGFEMOtHqZMcZVXNS7S3+keCVODD/XY2j0I9VHnKeN U3Ty80FKXdqakxjdy32i7Mx1BskmuoGUW2osyTFPM9wIjtoYrNkj1UKKn3TcjFNi8Prz9fri FY/PP/5evXxHRbFgGsRTPnqFsLvPNPkaVaBjd2fQ3Y003DhDnB6NOmXOwfXJZV6xQ0O1y4Tj BEueGVRdCmBS4p1y9FTBPqQQYwx2K6rGqWoLI3KOwCQ0ijoup9bFRl3oNCIxllr6+Mfj+/3T qj/qLY/dVEoOKBklPkMDxk2PwokdiFB6V8VomcPaTdpxGcrifnYZiy4ESzR62K9py3lkPxSZ 3klTrYhyi5NZtpcd7pRXvz8+vV9fr19X92+QGl5C4/+/r/61ZcDqm/jxv5QhCKcIR1nIZzox PBm9zMpaNNETvijjomBRNFkRt4+v1xM68vkpz7JsZbtr7+dVzCO/KV2yzdss7Y9yrwxE2AWa Qy8OMrlBhDa6f354fHq6f/1HbS3YxfCGjVNX9z/eX36ZGus//6z+FQOFE/Q0/iUOUT6VcIuW L+y4DfOPr48vsJY8vKD3r/+z+v768nB9e8M4Wxgx69vj31LFeVr9MT6k4lYzkNM49FxtfQDy OhKdqgzkLA4820/0dYEhhkdtnKPsGtdT3eFJHEnnuqQ1yQj7rvg4cKYWrhMTRSqOrmPFeeK4 m4VcD2lsux61iXIcDjHKI8CZ7tKOsIe1tHHCrmzooylnYeeETb+9aGyjGfqnuprH2Ui7iVHt /C6OAz+SLhcl9nkrMSYBC78c6UQkuxTZi84UObA8cltBAOUWY0cgTyRHG5CAxY836OBZ/xTI Pq16nvCAUv1y9KazJGetw0AvogBqE4R6dtAPoU162BDxMzGW8VKD9qg+Tu/Gtz2twRnZ1+fx sQkti2jK/uREFvV2d4TXkqcjgRpQVPnSbZwWZ9dZXini89qRbwSEAYrj/l6aFvrCydqRNPsZ Fo2z40eDExRRoiBnxPXZOKlCovsZOdLWKTZRQnr+hCS365HTypXtI2fAJ68xR3ztRuuNlt5N FNn6oNl3kWMRrTO1hNA6j99gTfqfK77FWGHYbaI3Dk0aeJZr06o8kUd96S7lruc074a/cpaH F+CB9RHtJcbCaAth6Dt7KZrpcgrcoi9tV+8/nmFTV5LFAwSMV8cetojRWk/h58LD49vDFfb8 5+vLj7fVn9en73p6Uw+Erj7RSt+RHCsMUoJD7MdwHMFwqalqrzSKNuai8Po2uVrAuW4qJp9a +kOVTTF5kx9v7y/fHv/fFaVN1iDiy4WZf7Du1M9gHAVxxFZDU9FskSM2kAaK6lc9g9A2ouso Cg1gFvthYPqSgYYvy96RXzQoWGCoCcNcU1sB6pB7lsJkKxbAAnrb27T3dZHpnDiWZLclYb5l GUp/TjwjVp4L+NDvltBQU14MaOJ5XSROGgnFOSpaDOi9bxsqs00syzb0L8OcBcxQnCFHw5eZ p1ziyMnC3vVR55RR1HYBpGJorP4Qry3LOAC63LF90lZRYMr7te0ahm8LGwihUZn60bXsljIT kkZhaac2tKFnaCWGb6COnrjyUiuOuBS9XVd43N++wqkePpmObszY7u0dpIv716+rn97u32F9 fHy//rz6XWAVjo1dv7GitXAjPhAD6YqYE4/W2vqbINo6ZwDyoc4KVFsm4mQQFw9Gi6K0c7lj A6pSDyy48n+t4GAMe9z76+P9k7F6aXuWdMBIG1fJxEmpByesrPkwzaQPyyqKvJA2nZ1xV5P4 APul+0xngEDn2WprMqLjKm3Uu3LcGyR+KaDTXPogMOP0YY/V2t/bHvlCbuxqJ4r0kWJRI8XR xxQbFNSYUoi4xVmRqxGh8OJTm5FVcXmF5GPW2WfSyoZ9NMz71NZKziHeDXoBIKuzNpgOMU4V Q1Y8pUD9iJOplWnucLWlYESqE6XvYO9S+GDmKKsuGy6bKIhJ65+5bcPJHTqO137102fmV9eA RKE1CtTACZcaBVBHqR+OPVchwuxNZUoReNwvsjajYQGlTkoIV+deH6Qwg3xyBrk+bWfECpRv sHlLWhMjclBn+AEPEVcqyqmNWh6gw/QwNeRQbWVKxtu1pQ7eLCGXc1eU6XjXpA7sea3eoUD3 bPKGF/G2L5zIVXLgRLWfcWVVSvwltWEnRfVwnYpjMBnWenn0aTM9Mi5ZvIEcw3ghLR3m9Ssc ixL3HZSkenl9/3MVf7u+Pj7cP/968/J6vX9e9fMc+TVh+1LaHxfKC0MRzqSmgVq3/uBCR/oI ybThBKKbpHR9dWEtdmnvutaZpGob20APKNtZjjuK2dE0ZUlnSWwYHiLf0SYYp16gkRY/Q3U6 sT7oTQPyQyC/KeYa7C79/BK21gcIzLvIMmh5p/XUsTo6Y3mv/98fl0YenAlalpt6m8kYPMSN dH0jpL16eX76ZxAaf22KQq4uEKg9D2oMWwC5HTKInUf5oTpLxsuk4SbwbfX7yyuXcjTpy12f 735TRmG12Tv6GESqWTYBuHFou7MJNrUZWoZ74kvhiejYFFFZPPE07qoTqYt2BTGPgGwIhslS 6jcg3JLm78OyFAT+32qq+dnxLf9oHox4SnLM2wRuCK6rprqv20PnmmZ83CV172RyrfdZkVXT nW3y8u3by7PwcPOnrPItx7F/Fu8aCUfV44ZirU1rR9c4xGFIP/PIV1z6fRbLdfd6//1PfGj6 9uP7d1jExaKgi6O8ORz1931zadtSm+Ux0IahL3nbEcj8Tu/1/tt19Z8fv/8OLZEKHwxpb2k5 okTTp7xrZHDIhEyT++q5f/jr6fGPP99hySmSdLymn6s9JA8Yv7MeLKPmTkZEj0aHdjRFvtv3 hq9m/KZPHV8aaTPGX0kSHT6zqG9qZkR7+z5DzALvVGQpBU5PxDVEfXc4I3GKpu6WEQpJSA+5 MGP6s3ghSf4Ei4KgxQJ3Tbcm5YefYOOPtxYbXbbcEXI/+o4VFg2FbVI484RkddrknFQVmeAQ Q3J09rQ8Wsfv9ymz9B5WnOe3FxCxvj6+fX+6H6e5PsDTQ1nesSd8tehnRyLD3+JQVt2/I4vG 2/rU/dvxhVXog9xHPm29mTumqw9Vqq0m+zzV67DPJQ8a8HMO3NK3WbXr6fgJwEgb+R32UngB SG8OOcr39e/XB5QesDiaex7kj70+E0PuMVrSHs4E6bLdKtSmEfuCkQ5tJjrUYnXMipu8kmnJ Hg32VVoOv+7UJkrqw84Q5RHhMk7ioqAsEtnHTC2n5HPXtJlo3YNEaOFdXbV5Jw6uicarLuWb lR1QDdmiKZroQIjRvtxkd2pvlZu81QbFbtvSMUgZWNRtXpOudBE+5se4SHM5H8iYPYxQqHdK 553igj8rldLLTl0tBRtipbhrmTtCmZpjVFaF1Gdq9X6LN2RgWsT6U17t40r95CaruhzmB+n/ EBmKRAnUwYhZqhKq+lgrtHqXD3NAynKk44+Gilk5MYjTAontodwUWROnjgbt1p6lEU/7LCs6 YoiV8S5PSuhrWorhLEXfGmyMOX7HjNoMzdZmfIxrOedJW3f1ljJPZHhdwbKlDufyUPT5ONCk 9JTwoRJWt7SVNWJNXKE7ORjy0iQRyMoclFJusj4u7ipadmcMsODgPmXIvIjRDg/GfqfWB6A7 5ozVOCCbNgcBR26fLoYBc6PSmEmtQsxKghODfxR5daMWpuuz2LxeAAqjCzaFzLRkQP5NcVDW w7ZU1pAdvqmKO3ExnUjE2O3KuO1/q+8wZdNcz9W5CKtPl6mTtt/DzC/V9A+4JV6ajnRYhWtZ npd1ryxG57wqlSy/ZG0t136kEJX6cpfCTmjsc+7R97I/bNTuZPTk0PX4zo39UrbNopHu/al9 e4psK8sW87nHSfh8ojalGbzs6jrNpbidaqLqR5MLlYGf4sUHevU+yS9F3vcgamUV7LvSuoIc C0bP8lur5tR22S1ssqTSdUCnm/lRFEO76kOsGEyXCbOB1kQ0AH7t0l/xo9X+5e0dhcHxhJtq rgzLRI+diMQuhUobTnyTdb3BRdrEACdWTIduFpFH8qyFUH2WfRgCDX2YXvadTEzjY14luUzs 3ESrjouBK3hL5u2tsdzIR7sNGNG0jOXc+hLfaajeeAbAlFC6V8sMFHQRheknBIRvdtoKfUJz XMqJCnYtNtJJaTSM+NxvS426KQ7ZNs8Uh3gc424BjTnAhHLDdZQcHcnSgGM3rlKjPf7Jt1o9 sKpBWxcGnz74KT50MZQiud2rQ2Hf3cqETVI6keurOZf9jTHL+kQ/oilBVO7zhNrjq+yEUpow WPGXan0/0y6ay1MBY+IHbOg1fVhgnJsWz60ViP84zJM9vgLQT2/Aqh+X2Pe6SoCR4cRvS+Y9 nFq5luOvY628MezGdFtxuHMDz6dEZA5jNAdXSxR6LHDJ2Nkz7EdKEZkGx9LSYmRK9TqjegFQ t0FaK0/o2lEbDqmWrVK5ZwCFCIuK48meZXjn1xsQgi+3hw31+E9kaeNbJU0ecd2hqZozPgYa vKXw2qDvOU+tIhB9NYui8S2iLkD2z+hrsKQD8Q5Msi5rLrOvpzjQzV5+J66AdMrK4MF5F0q8 B3Veqgo+RiRdP/FhmDp0dBpetd7112rHV52jJVNl/XmT0+9MhjmkODOV4T6J8cmzqRx9kfhr 6W6ej8vZC6hCHhx26rPI/9uUR91LWwBPSXDUKaeFatiA9LTL4Lxz7W3h2mu1yAPA45soixu7 4vnP0+PzXz/ZP69APlu1uw3DIZcfGMCdEkRXP81S+c/K8rjB80mpFZ67dFwYfuj01bhylcUZ xpOWKDr2Wuhg5sjxg5mUN67aA92udG1PW8n1cJ+8h9nBhN8LPN2//clMwPuX14c/lT1ELlzb e75Fu0cZ8MiX3adMPde/Pv7xh74v9bCv7ZSH5SJwMXmkk5hq2Bj3da9UckT3GciamyzujZlM iuGFfhlYk4ZyRiexxAmcEPP+zlAcWcktQWM8EKbYYE33+P0db/LfVu+8/eYRXl3f+QsyvOH6 /fGP1U/YzO/3r39c33/Wem5qzjauujyrPlNT9sr0o8o2saRjUzBUElcGdHw8ZShoT6lG4yTJ 0GV9XkjtG9v2HYhIcV4UmaBrH1XJ93/9+I6txFTmb9+v14c/JS+xTRbfHOgbLsPX88dtn3Ax jr6wQ7/n7MW/bohXxpvDVn/niO8y8dGweD48XabXmuOhdPjckClAcMY6Zvxl990SG/GqUWbo smKLB1HqbDCwwAwT3xWKVFxD+0wKx6DUfOrEwxkvGotY6FgMc1wkomIl9bwwsob1UdJzcITS IZQ7vEPO8wtPah5wSepQtWrilj3dhrGdCXcC7OcIziGJBnJbs07zJW0fAFxWx8NwF5Nh14c6 wh50qWXVjYjQu5DAYVKXKpU4yHMOfl4afIm+yyrl3CxwpHAUGjiklKDWB/HAw3i3Qm7HrZwd /oYxmUPvUcsog0v+bnv+Joeu4DEfqM5CWMmEUVAmOZCNdmTxLFR4eE/y8Pry9vL7+2r/z/fr 6y/H1R8/rm/vktpqeu+xzDrnt2uzOzqGIIziLJU9EDCK8T34BPN9gk3P/As6Lvm3Y3nRAhvI eiKnpbCWeZeMjSxMPw6iuw+NiEuCRhwnh0rvuuMlrRqipnkXL3TumCwLkWIsX7IBab6zg4us 8B5bIe6s6EKGHhs4KmS6vYToj1xPfUBhs3I8OgfgKOJNk3yUCVMkUQncHmJ2IwP5NIuJRI4Y 1XUm+iTx0sUa/Yb/LfINVdFe8pwxkdv60Oeisl8YA3qDMeolO8eyllNCh0RlTzhwTtvlZFCy XV2k21yMJDNSLk3eZPKi2UJGk+kIvS+XWVHEVX2e2EiuuoA+Pdc2GaZ2H8P2mhTiZcdAgVUx g4kgVx09BXFusfMH6nBQ1Zaj5Onl4S/x0INWPe319+vr9RkdF1/fHv+QHTHkSUeLdphL10Sq N+3RnuBzGf0vIbF9l95QNSQCUcjg2ot8ElN9rQpQl5TqMjlDDa3HFnly3/Uo0xOFR/RbJEO2 Z0I8z1Sw3A9pPafAtCntiBRaBJ4kTbLQotsTMckYScSYIR6cWEh02/GAQV1jalnk6GJKGSsw 7bIyr0wpxOzu74N25178pBSAPLjBX/42Puf4FyQToYpAv63b/FYmFZ1tORF6oCnSfEe2yHnH LQqpmnDHmR/1Zn2uYsPqPbIcE9+QRVk2Dj8ULaegeZMWu4x7ipECKrKGYm5OOrWR6xP0sE8a a05wKCoPJupapXJXQ5sc1vZTC40MxMqJ9k0is23i/AbdDNkKubcvSXKQDYJFIM2PauFR0x/a 9iU9NsYVb7gNMNQPo/8FrtSUApWFQ9KhGyn+gdD2ORwB1NoCf3K3qw5ayyOyb+nnWyNedZT5 xow6emZdK9MEF6OGJRfWvCA5ulJ3KvjaMGAR9Nf0E3SZTfHATPOExiII9050BoFDPrtosy7r WUBRWco4bAzfUTwfF34DxwnRoqg8J7JgwEYHi1VK0CqC1hC0239PwTj/uD4/Pqy6l+RNv+0B +QnOaVCA3ahEnNMSsd++eKGoLlQxx9+IjabCZJuoTKG1lITBv7vIdrZNDx9kLsWMXePqYQWB hiRFH7I5yXF2k91hR5NBW/JBVzx0PC29MdPw/voX5jX3mLgFoNEfN6Ahd4jeCQ1ecRUu27Cy iFxBGNCqXIUrpCzjFR75EkEDYUeC5vlMZsCblzuF2ch6TLMEeJfzPmZV8qncw4D2QajwrMll ikOXrN8vFYjx7PPtJyoY2a5RUgAwoM2tNS6UKD5Ve8ast/0Cc7ndJVtadUgwf24EMN6hWz/D HdJ3ZQqX6gSF5PLtgFwglqexMNMHzQ8/P317evkDVpXvT/fv8Pub9DbjM+zTZgKH4hb+TVzb vZSSfMReG+zSLiEH5K1kyMt4Y9/VE4hDTptahVGZSNckHeRcRmu1ZUjOLj379IIy8Q2u1CnF fnN72SXJJbIi4aSF1LLUyDmQ46brZHFxogaW6HciH1L2LHutU2neyJIfVyO9GOj0RjN9GBrC PXUlZ6CliQleyw+0Z7pLrcIzLL+IRHox0OnipPzDNR0CaIZt0b9HylNVqJAX76O15F1lKlro kcwqmTOvaarWKEMia9Iry/xdpKTWHEj6mFokzo1uGDZCiboEb8WAOvhtm+XFhD2SGhCiTMCw m79TiI6WGCs+8NKjDRhY9FZmlUbkKaXEqmwuVQnJaKViDo/04kL/8+pHotPAbhgsQaDwslbV qLxAEhnbuj+0IK0NzS2sHN3lNuhA7GoQoqow5K4Xife1J22iCIyVi8gABcgxdKWWJGt0HTiz Aog62G5qKEf0FNfNSTtyRI1hxAY2GUNmHM+2ktiOyoERXZXIG0NLgJPVJKYWUvknQP5iDImK azw/qIsL/36rbDA3uEifE9pZN9MpbYe2hjxVH1USIxOoDAIxnn6zKus+UsjMhuxzb7hJ4E3m TOrJYWTym6NjWwLTXO8hxLILZV/CPYNieIB9+XOiDBNjYH2QlGd/MinP+SCpuC0D71NpoeTZ cU2keAodUKDXB+GmiJnJqe0pdgk6IvmgS5DJc8km5xrZbX7MKBqGc5WVmHjsrvqswLj322ZH azm6pk0NRZIV76pR65wCIqjhWh6kGEU21ZRjVDAJpuvclXgwJjM850VenS/Hj3L8clfdltKF 3f7UNXlV1LJBrCD/di8/XoVwitMBl5nwXGrh9RCnNG29kXujw5gUkvJyUODxL8TSjKo43UBo tl/gtuNGEyL0ec7MbvXU0xOIkpuFtLd9X7YWDFdT4vm5wSVES5kZxQfGz1C5qn3TpkQ15wHk 5fonQPbzy74zfcY82U+fDcQjHIIsS6VWTVKGQlXG7opTOFj/f8qeZblxHMn7foWiT7MR3dMS qeehDxBJSSzzZYKS5bow1La6rFhb8voR0zVfv0gAJJFAUp69lEuZIJB4JRKJfER1VQU2ivF0 ASzJoUpPcahyP0MKZXIVJgWHmK12tZBL3qZNLMkychuCrSs6KJM/FlemURNUxOKWFWxozbsq Inag790QnWlSp/Z/mhamqpaVgZNEtYPV0/EyrkxMqncLL+amKCoQu1kqrWviwOBzrErBGgXV IUHotV6TrtMiFHfGTVG+C1WpO6bycUNc3/iV8UyrmytYyS6/nIxvINVCD+g6Nno8gvSLAmm1 pfP7SKGgzsXEoR3TfFelNOeM2pmoyDcxRT0YKLAKmW81i2yPDOo3cx/2WlpS9qMtcmQ8+2lg sTWrUSRB7AhwLgkqMulHs1LFMkVWZKwKxDiPhgQbc3WofYxO40XzOUpaouEK2K0Q8NAUW62A GRaL/YrKxTpPWjbA4mSZG4820PlUQTrbqybRRLqhWIzYPUwwVR/4WnknVrv9vaDxRlIJCKoC SOrBms+aCZKPBQ4QXhksoO5DY0TTkZ0nrITo+SB2NKX6dSpS7xIXtCQNJ2QRBn09UHxLfGx6 I4ntG6ThrUWtynif8jWGwm7GBSVRuEpp6qUTXyBQlyNERUY5niGa1UCZhhWHH0dp+DrgdjAC 9TXYnq0rtjT3mY1RPJJ/WaC1cPzDMFL8ih5jg8hapcXWitZZNiWUNRZcbKpNmW/XlLlevlLF EecFzzjHZs5dq31mdSAMDGO3Xi2J937mL4Q4Hty1H5rwhiK0t8Xy6a0MVkvzhYquf3y5fBwh /L4rMpYROMHiB9UOVgcotUvDaXbFVhxP6htEEw9o416CAkXZ68v7D4KoQmwBgx74WWfchii1 rHZ47sFYCSUl1jBkbOhDdLQjCYE77uIuYY3gk+dHma6jC+ujEHkw+Af/+f5xfBnk50HwdHr9 b7Bgfjj9JVZ2iBNtNCpofgko+3/lzBmwbNdjBqELyFcsxrcl9UzWuJUCd4uzFbLa7LxFFY6c MYpIRb2yNOkhXmHh9Kt7MuwZJXiWm8EkNKbwmPzWQZhdaah0iTHP3MVIcveYMoxpsXzVRvxe vl0Ojw+XF6t31g3JiiMBdUjXOeytJcFC7uYVlSNQf2DXJU+SdGl2kaRJUpvti99Xb8fj+8NB sMvby1t8SxN+u42DoI6ydZwZTBwUUjzJ7xCk+xEWjHmGiX9L0FfNKm+Kf6Z7mhg5IfDMbtbp FFfv7+Jm9/ffdDX61nebrvF1RIGzIiJXNVGjbCk6yyMnOX0cFR3Lz9Mz+H60e5hy1ImrSG4i Ix0T2ep/XnuXp0e/erkdbyQHm/UKRs0K0kEczopsVbJgZfBUgEpN4l2JU1NqNt73Kgho4oXR DMlmky47dft5eBar2N5a1suVOLVYFoprK9EPxdPF+VNzZDum4HxJq31Uqs6kRwd6LTlxgysM i2wrTTGu5y7IOHfYXjs25AiYu0Lfl5BwLG4SZcBIdcQ9DyTO4EQSNGez2WKBlfEdgn40M78k ny9a/GxBtjckoRMSOiKh0z6KyWc8E0/X55HQOU3ojAazoUtTmi/FnfMqSeMZ8Z1EkG8OHZqk 2cykYkCDvjYiyvzWwLNRz4dLMulxI/KuSzObcicIh0JmNmN3ySPV1fQ3uugNJPagb/2qRJHW qkrqNUGX6TLxBvm2SOzTWGqkxE1wlycVW0dXCvlUIXSEkxqIrdSqKdGikR32p+fT2T6s2s1P YVvPt/9IeGzahvGJdqsyas3U9M/B+iIKni8ob5xC1et8p2Oh1HkWRsBkjZPeKFREJVzmWWaG ekQFQGDhbIdYsFkAnG55wQJqi6CKxOVMvRGgTjhxVUAvp6d9ueVG3zs5T5QAzYSBphURWhfb VeEMaR3toqxyey7BDRlZbhp6k0WKwrzG4SLt3glXxlU92ldB54wa/f3xcDnrW4Y7JqpwzcKg /saCG7uWesXZYmyyOg23wxVocMr2vj+heFNXoPFqJ74Fz/b+b5U9t0NKUWU4uZeGqxMW3jnB UcpBl9V8MfOZA+fpZGIGl9dgiCjU02mBErtb/Ov3WKZCDseSzGNsPpuIH+D1tUJpqVtYHSxJ MAp9g+G2mG5gIR6JkMe3qd3YzSpeyVIYrD18xdWJolD9d8XJb5yislUO/KEt4hliN6SrvdMx YukhAzxZeUdls/nUPfPh4fh8fLu8HHEqTBbuE39mqvkVAGeEXaZsbFpaq992mUCsQOnpnNBQ Oz1VyLwe+4+Q+aOeONUpK8MhmYRBYsyEGQDAaedW+4TPF1OPrexsmp16u4sfpoj26fNVzkHV lGH7mDpgb/Y8NCiSP+1RuNkH325GwxEVWC0NfM+MmCDkeSH1TBwAngkAIjsVAZiPcaIGAVpM JvQYKxxJj8zYZLa/D6bIi49XN3MrqwqAlsy2hmhUDnhdqrV6Pjxffgw+LoNHHZhdcG/Bsu2V OxsuRiWScwXMW1Byl0BMTU8k9buOV+JkBedPJm6bCUIvzMgeLIylz444Ihw9CoaBGkRBLMUJ S9kk9ABHkbcvvOHeqkrA5nMMA4WGdNfA4AAyUwydhkO2gL23LqxGO96d7aIkLyBDcBUFVU5d jBqbCLM9eNBMSjgvERhe4NK9N8HQzX5mJixqlJ4WrULimIU9o5MUATgO4WoFEIKs2PUkVeCN Z/S6lrg5dTBLzMLMzcb2I99KrMb24nJELa40KPwxTtPQGMTLyErTod0xstxkBkbPe3oM0iir v4/s9aB0j5yVGFp4YK6NYBnbzubmkQ6v47iIEi3UcrHu6DuY69YrA9/Ti1TMzb7e53197GSQ mO5bV2BnzWaHEQjaRhfu7BAdN+9ZPGU2qaYja9xaobEdOsP00JupZUU+BkSiNfsLuW7rNA/V LYpWCchXKzWMpIpZFQhX0lgR5cc2MXbTVSp2b9/AS+ObYDgfUV2RSC7OHTPh6Go6GtptaMMb e112HPwatzb5ucw5MIhQ7hA4RcuIBwwrRd0vtKr/9Vnc4nBQ7TQYeyjhplFKqcQOr4cHQRg4 BH99powmKNvp1x+rNp6OL6cHgeDH8/vFUuJXidhWxUaLFaTyHEpE33MnVukyjabzof0bH/dB wOfYDzVmt32rLAj9ob2+JAxVCWTEJSSY5+sCh6vjBVelySW3+z5f0OmrnRFSYdtPjxowEEtB p8PAEdO1MKYEZ+wXZqE7ebiLnErWb66+lOsquB4CpSsXhcF3G81no/W2cerNihdNS20vOp2E g0SifGWRQOP0rOGMNZAEWe4VtJwNgWgynFLmxwLhY+ttARmPKcFaICYLD4JNmbHaJdQvEQA5 z8PvxdSR+YscclSQmb34eOyZwfz0sR+iuKNTzzfjB4pTeTLCB/dkbmakEYczOAVaXBMYKuvl mgI1mczIFMqSQ4Y60mkTF+jaZLTL6fHz5aVJeGAvJ4TTWU+O//t5PD/8HPCf54+n4/vp3xAK Lgy5zkZk2C/KJ//Dx+Xt9/AE2Yv+/IQARa7jTk85WbB4Orwff0tEsePjILlcXgf/EO1AhqWG jneDDrPu/++XXQ6Wqz1Ey/zHz7fL+8Pl9SjmwuGvy3Q96nEXWe0Z9yBL2Zd3PSlB+NTLZlps /aGpWtEAcq+qauA2SKMgwrONrta+lWK7v9uKaR4Pzx9PBmtqoG8fg/LwcRykl/PpA2ku2Soa I48QUFINR1ZqWQWj00ST1RtIkyJFz+fL6fH08ZOaMpZ6/ogSxMNNZV4WNiHcbNBDsAB5Qzsa iDufm20ahzEZi21Tcc/kEOq3zag21bbHQp/Hs2FPMEFA2fqvZojs4dA+0YJNQLzHl+Ph/fNN ZTT/FMNrPpSn8Qil0pG/bXpX+5zPZ0PnaG60DOkep/iMs10dB+nYm7rfoEJiuU/1cr+mCEl4 Og15j5dZW2QRcnp4rgyECsUos9x0S6k9ZL6JKfex+MPC7X7kzEODhITD1BuYQIh9aCgSWRHy BQowICHIW4zxme+ZK3a5Gc2wiwxA6Egp4hQa4TycACLDAAsECtAbQBjfCf49NaPArAuPFcMh upQqmOjjcEiGrL/lU7EPWIJjGzWSCU+8xXBEGX3iIjIReDf1ALO8g0hdW9KbLUEVKErTYO8b ZyMPq5nKohxO+rasprA3f1ZSlROcAzvZiWUyJmNaCT45thKXK4ih6styNvLNGcqLyldpttvr 9sjzhhjG49HITHEFv8dYu+b7WKUp9tV2F/OeEa4C7o9HlAAoMabitxmjSszYZGoQIQFzpAuR IFLRBpiZWa0AjCdm+rAtn4zmnvFgtguyBA+ngvjmzTRKk+kQ30QUbEZtrV0yRR6A38Xoi8Ee mYcs5ijKVOTw43z8ULpI8ti6AfdPincAwiCX3QwXC8QWlBo8ZeuMBFoKXLb2R3iajZ0A5aMq T6MqKntEljTwJx6KkqE4sGyKFk8aKmx0syzEPXsyR4/nGOFeIAFZpj5Kmovh+Jt7lrINE394 EyG9MYOhpuW/2qTmr8/Hv61rj7zYbemLKPpGH8IPz6dz/7Sb18wsSOLs2tgbhdX7TV3mVZO6 yTjuiCbNGQGz3lq+HbdPOE0k4sFvA5XH/flyPmJVyqbUrgDUy5DM1FBui4pGN/4gdg3WKQ6F UJHeE7+CwMRJnhdfluT3fMXpUnq86L5ryeAsRFMZCPpw/vH5LP7/enk/wdXGlRfkGTeui9zK voMzxigHOgi4HWGO8XVL6NryevkQYsyJeHSbeDOc1pcLfkW+uIj7LErpDfdZ5PsPAMVgO/Zc JL1yfA9tJN1iqD+wjV5aLNzQNj01q6/V7fLt+A5SHclUl8VwOkyp6InLtPCw9gt+Y64RJhtx Cpj2FwX3zUzOSIbAaeiKocHP4qAYDRGzSotkhCIGyN8Wqy4SHxfik6nJ+dVvW1oHqE8982tu bFFqQu2qqsmYXDmbwhtOUcnvBRPSJR0sxJmhTuo+n84/0MSZByhC6rm+/H16gZsObJTH07tS nrpbESTDiSn9JHHISmkHWu/MFb8ceeYOKFBEz3IVzmZj82WDlysU+2C/sEWm/YKOHQdfIukV BBG/7yaxSyZ+Mty7F6N2SK8OhPYleL88Q3yWPsW0YfN/taQ6IY4vr6DhwTvNZH1DJrh/ZPnH dhsEUBQTSvaL4dQMJakgPuJhVSouHJQCUSIMHZ34PTJ1dpXg/+Y6kL89lOiU6lnXcnHnpheG oNAPT6dXNyuowMDbjyGtJfUqRuJXCD5SKmh028g36d7HYvKRSfvmiYMjgO+KGL2TtWjRMv2I pQuU39mov5TYMPOgSELZDC3u8/EcxKqeRFJmWLG+Mg0pmznvb0d83DpxiyEJIyrDmMwLXd5C PjxT1ABoVqVbpNVpPHpEvUGeLuOsL9VEnmdrePMsAoigS76UCkbZTF0jbdlroSWmYMENWLrh G28ZiyURF3lQMcrnQoXnC1ordTzVgGPVZkanYdf4PR/1xEhRBaRDA2nfqvFRmZhmohqqHCR6 wPqhzcbieLgKBq/xbq+UWLS+u0L3jdejmlNoSPAY9607WUDp/Hv7nQabouYFK/cTlz75Gt7/ qXwrl3FKa1Y6gwTv4Tasda+2EcqJMefcJUK9idNP0bKADgmMYVZiPQ1VERwcMIRecBtuQ/ld Gd4r+dhwgXqdbB16ILQC0lapqAtNtEo74GRfOTt4pZIaNvcD/vnnu7Tb7Xi1Tq9cC7Sh2+qA dRoXsRD5TDSAm7cjmSWxWmOkEy8XgAHLVJKRIIJg7cQIQSntUUo3qt0VwQgSI7T72MhjgPSu IX3B2eKIKsH266s4SRQU0CFtr5ZziW9cqAQNG2dsZChYWTk5wfp7IT/B55Qg3wS9gO7ryXS+ zrhE94x8xj05m2EZWoSX0DKrGAEWHzi9BCrdcWyjQuRliWyWTWRIUN7guNg1ZNYZVIglu9yu AcymVKTUntFT63wveG/P3GlXbae32q+bhM9IOBwTcAATTXDI9ZjlxApWXL3elXsPomM4Y6vx pZA69Mfd5U/6s/uziTQgTsT1G+KrbKhnGzl98tijZlshnB6lu2i5rUUDgrBthWOxm/i5DJrU 33CxZ7U3z1JxWpqSIkLZfWuQVyY1LXxNM6YK4NBS33cQrcKZIoBuV9ypTID33OqaU2ITppRr RoNWC4/HFsOTBzEITGHktJsHUZJXGtlTtZST3FnT7vi3EPqwBwurzCPgt2YM4g7qLloJlyly s4LXqyitcnTrRGU2XE6x3cWuDtq7z+wLhGC0l4I1CxATDDrWM1glkx7YzngoC7go84mTp/OO kL/2wx603NmwBq7hAx67vAcXCa8WcVlDi6rui8jaWPpOEBYqfBuJlOuyH+022ISO2ZqW+ghB 7OImZNqV46kVnKjvTSSlqkFlNM10Bawv+bEks1IGiiNf0CpGppebdQXHuqA1FlW8GQ9n7lJT 6l8BFj+s2ZLOQKPFuC68rU1+yLQs1scG0ulk3LERA/Nt5o2i+i7+3oFlUAl9+cJyoZCAIamK bzev7i03UZQu2X1vimunoNN7hZZBysQR6ZzjHfpKE9qa0ohS1miLkABs1AweYgEj1TIBOjnE T5B7XdH6+AaheaXy6UWZbrhKEfDnCtNgKsSIQgfHaAi78rlxv8DRFbTd5+Pb5fSIlL1ZWOa2 x2Jr9KmKt4pcZjz4Zrs0Sq2f6t3ABkoFQ4x4dYfIg7yihlLFda+j1da0cVPfNXeJCGJ4ODQ0 WFGvjQIzedmgoVoSZ2nTCLZyvl1B7QRpuqtgBM1DZt5RG97pVNhirM5aAwLCcN+A6Fblfoe8 RGg8W3YkW77SgjKXc9rolmwTO+Orini2gzy864L03VYm29bkycAt5ISWVnf0aMCFIduVzNUl bu4GH2+HB6nqNhKqNQ1V1LQpblChu1QDq9cV5SLfosVJRH5WkO6zLVqG8jG3LkF385FWLHTm Q+J3na5LKmxkT5Gamc8sOrBUUQphxzIwdlAyylWHbysGrlhjlYfELcs4XLsVrsoo+h45WM1i C3iAdXyVZX1ltI6xJ0O+MjF9nVcpAvGYCVi9Silb6xbNVluLAIBmcc713BUsqDMfmUCgMUkL e1RMSVz8kHndw2hXZ3kYYUzK5J0KJ281EJstOkQMjPi3DuhMnaiUnSoJleJBTucok8hlBK6W 1JNB1Jo6i/9SLuAmuOWukJBezPc+amPQGK/9RPCPLTh6rGcLzxhbAOLRAoiO7klZEThkFIKt FgbT5zEKPyZ+Sedq25OWJ3FqpVtELKAU/8+igFK1i2UOBbpGurf+wFRmmM/3BKJ5/EcoIVVF t5HRHQiyeLtlYWgK7F14vEqIIUJeqbYmC0jtaHqQyRKiYdEvydhRWxlEnyCLrZSO0PPxjsGz YRWJBQWOfJxU3QEu57GY7cDQf0d7COS24i6kXkK4WDGLBg6ypNYARs+P4PsPTj/3Nt5Y6HWU BeV9UcU9ullRYheVtLHqiqtMuF2LoQ2IFUCGCkANsytJdG+3eUUxebat8hUf1+aoKBgCwbGK AIElguhcpivq5p+L3ibsvsa6ig4quHAYl2Kl1+IPST1VliV37F5QmSdJTj9RGF/FWRjR7y9G oTSqWJAX9448EBweno4GH8kiWDNdYMB27gIWbCIH4B7UukIlrr8fPx8vg7/EeieWu3T+7AnX p0LMbeIkLCPqDLuJysycM0t8Vn+aie7kf5ceYx9D+lVY+SpbMk1XltBwIUYG4ryiRJq8vkMv eGj3K3+b48PnGzyud4mo24oh4VGPHWiwhY0GiYG5fNaoyjjoiceqy5IGrwqFBhOMvAK5CVPR qU2UFChGCoWGROObP375/f3P0/n3z/fj28vl8fjb0/H59fj2S7vfdfjFjnbTHybh6R+/PB/O j+Dh8Sv883j51/nXn4eXg/h1eHw9nX99P/x1FNSfHn89nT+OP2DUfv3z9a9f1EDeHN/Ox+fB 0+Ht8SitOboB1fGzXi5vPwcncfM7HZ5P/z5o55KW+8QV9E6wyyzHzyoSBa8OYkcGRo54UoZV RUGkw9nkjWBYJB0Nur8brROWvWLahQ/MOW8khuDt5+vHZfBweTsOxFVXzYa5ulRxseoLMkK/ wrJkjWKHIrDnwiMWkkC3KL8JxO0LRbTGCPeTDTMz0BpAt2iJsuW2MLJgM1Eu4b2UsD7ib4rC LX1jSlFNDaCnd4uKc5itiXo1HKnkMApSW8igqk6u+L4Pon0FMch7UsvrwuvVyJsLgdShKNsm NNDtlPxDrItttREiBdEloMnV/3z++Xx6+O1/jj8HD3Jt/3g7vD797LZwM6Mo67KChe66icyw hi2MLBhyRhAZBaVA9I8cT6nZEsxvF3mTyWjhdJB9fjyBxeHD4eP4OIjOspdglPmv08fTgL2/ Xx5OEhUePg5OtwPz3b+ZPAIWbMTZzbz/q+zIltu2ge/9Cj+2M23Gsp00L34AQVCExcskJcp+ 4TiO6mgSH2PJM/387gI8cCxp9yWOsEscC+wBYLF7WuTJje3aP7DrUlYL+/lDPyRxLTdzS0tA 1SADN97YAvVyD/XCwe95QK0BHlHHrD2w9lmEW6mw+/4EXllSNl5ZHvl4he6XXbglGgE13YVL dJghnqZxKFlWr/3ZERj+qhfh8d3hx0Azjz4p+fq0l4opo4i6hTFNf7TRH/U+tLvDkWq35Ofk 0ywT7tNtSwrvIGErcRYQPdWQWTkGLdWL01BSj4B6BiBbNabFk40h9S5iAPozCRvGmKkrbYre ZRou6PSlHUPFbOFVCYVnn79QxZ8XhB6N2blfmJ5T7FuDWRLklItyh9EUugk97/uXH9Y5wyAg fB6AMthhE/ObN3beeAfgvYXv55ZhinjpS3KujnOmPqpqf4aw1KdmSAwiUn8nJaZPZVEWlpPF QP0Lr6xucpIQXfk4JE3658cX9GTu3z+7fY8SVtPnzL2Qu83nwF8vyNd5/bd+96Esphb4bVWH nrAvwY5/fjzJ3h6/7V7759r0UFhWyZYXYIVN9ycsAxU4Zu1PIkImRJ2GAfu/UzGlShDgFV7J uhboVFPCXpo0Q9suELVpf//af3u9A3v/9fntuH8itF8iA5KjsLwTgr2n2BwOCdMrd/ZzjUKD BlNlvoYBjQRTjIblvRAGe03eisvFHMpc8zPCfBzfaO7MLHvAnhC9cUMtMLHBLWEjsykvXwOx D1GaTeRrHTGrz2QqG6NNlU5mNJ4nMQjCj9CampcRXBFrYoTacVtcKGVZWzWfnV7QtV+b8UXt cnO/SJENUUSms0oklLczjfvxWqHf702d2QfY877fiarBh1FtIrJL0LskEkabJvayCJTpsha8 3xVTHeouXZiYtaMQU59zzve4YpHY6qiIVBWcg3XxXjvK/64SE7kHjbWSJvlS8na5fWcuK3a2 nupR7wGR80oZKKCX32vX/CS2c7RpqY7P+/9RW7SDyhx82D886fcc9z929z/3Tw9WwJIPoPeD CmTGypu2KGVWR70WSSbVRyIzDOJVsmxpeZsw52Q/kGD1YVYkg7V6z+NIZiH8g/HEraxXPC9D yz+wlKmAzX0aWGmzSvUe1HTFH1yauUp3Ym6KMMZX95TUni4OKwdUKznN3E7Hi8gzJj9vZb1u LXuMnzubcCgY8s3QlSBCAr0Mbr4Sn2rI1DpSKKxspq0zxAgmcmsBlAxyBOWWRcatRw2gt2b2 ZNx4YuluwmDthHlqEGQEgb2nPEnt93vKCqTL1SW1W769bfXt2tBZXdJuv9IZrTuwchYi0xZ0 CJJ9uXCbQd8foikorWNYudOVofsn92oL+JVXZtNoHDHAfR5Qx8V4pzaCYqay/ZgeQFhkxf3N MBgnlLToH4bH7WbI7RTjVPOElRiZPBa2izeMIlb1VaJeFwrZuvkb4TcZV+BoeN39HhYv1gQK QoEABdEZBGV51gMwGGthQwdQkeeJDSqFh93djvWQYZYRxtCpF++iyDXV0zIAcwn2CiWZuXSZ 6PkypjHJA/sXwSbDXNd5Krm5Jnly29bMOtnAV2FghlIKLS0ksLHBUDKIQvNeG/2AEmnddIOg D0WRu2V6JwICHGMxn45qAcO3m73Jgyu2dCg2vIh1lI59wdJrOVX68rp/Ov7UT0Mfdwfz2mVQ JipZTAsKPQFFlAzH7X9PYlyvpagvLwbqAIthMH6vhgvjmusmDXIQzq0oy4yldKKXyc4Om+79 r91fx/1jp54PCvVel7/6Q4tKaKltWJldLk7PzN7UpSwwDyf2izpdL8E+1IZiZQoDgU828VoX ptI8XlerG+0mVLh4W5mymhuS3IWoPrV5lty4dQAzg+EZrTP9AUvkMsOklyPeJgXTAl1FLBY0 Pm4EW6mQ37ywPCw/TL/fzIRz3bIKd9/eHh7wwks+HY6vbxg4yU6AxZY6y2FJxfHv+ld5Pa4U Xzcts3NgD1C8NVEIKfqe0ALErgmvB4kexGwjtGRcLUOL7/E3fXEcVIy6RVRVrTgAla6ViR0M 8kOUs8mAV+aCIADee3s2bndDOdQ7rvcCuVBsawyraZ6/6coQ2gtRp50B1O+POg6mvIuxjbzJ zEswVVbkssozxytFVw+yDBiAjLyEpOxoAHo3gaXrf95DZmZfi9Y1iiH6lp3HmItMYQkwquEn pxTNqDpVtZvUSKPoNLmhHc7cDyeZQWcqUFfS7kytUB+ideKJmFguY8c+GQioRod+JZHOD0aR qAdTtqjaqrZNXuIGBdgI1res5S0G/g07u9G9JR/XoCMJY/00Wl9VINJJ/vxy+PME4ze+vWi5 E989PdhOJ0wlRAXBmJN33hYcPbLW4vLUBqJjGaZNH4rRUwqNrS7yuCGS86ieBAZ5XmO49tRE Uy18BKfr2mKkCdbfxvjuo2bVypxU7YIwgIYBLMA2GAgzNjUiqpYIIk3iDgQbqm2uQQ+BNgpz 2s6YnzjtHgN65PsbKg9THI2+EATYXik4XtjUd8E29J4aryJHqfn74WX/hNeT0IvHt+Pu3x38 Z3e8//Tp0x/Gdhsd6VSVS1y9o5OU6ba0GTznSNZVdaBJP8PYJZjK61psJ45suuVPJIJ3Jfu7 lTSNRlLp/tCDZ65XTTXlFaUR1NCUhJ+UR9pGhtaE8AyLjmrKku+tbHN/ibUDA6EzppezdxwH sa03BHRk1UAbvv9jZbgUAIEUJWxJyRUlGeuS2ScfykQDkrXrrII9H6gPvR+fJOBKqzlb7P3U RsD3u+PdCWr/ezxcsqReR2E5QZhOQbtwe70t3QlTLplSnwaNYgRVcdaGrMbdnfLb9XxFLdaf 6LzbOV4CebJaOsEV9V0TX1OWirNYequbr1sVpN1bRAiZWh4GSikiuwLz826CjSJxXRlOkmYn lL9euyxV3g7YQub0WyJ7dB4HX3cWealsccr/XDXAkX/GnmHhhAyL1Ac0AzGM7eBPwN3rvSOb uw8WX1Zq4dM5Ie3PzA1mvTsckftQE3BMXnb3YISHW60te0b97JM/u8X2HOkysVXjIGHIjL3k Gb0+u5WOG0sVOe9K77VoF2ilbUkc2woC24fnm25+7KTwJexD8LgVe4LThDefJAnn6OWIGbDz K6wrzPka6pvwD9MSKZB6qPS8OacA/wG8PHKOBKcBAA== --T4sUOijqQbZv57TR--