12699 2018-04-20 01:28:48 +0000 [2.5 M3 rc1] [OE-core] [autobuilder2] - buildoptions.ArchiverTest.test_arch_work_dir_and_export_source - Testcase 926: FAILED - oescripts.BuildhistoryDiffTests.test_buildhistory_diff - Testcase 295: FAILED - runtime_test.TestImage.test_testimage_dnf - Tes 2018-05-17 08:01:24 +0000 1 1 10 QA/Testing Build Testing general 2.5 x86 Multiple RESOLVED NOTABUG http://centaurus02.png.intel.com:8010/#/builders/18/builds/17/steps/5/logs/stdio Medium+ normal 2.5 M4 1 aaron.chun.yew.chan aaron.chun.yew.chan apoorv.sangal ee.peng.yeoh richard.purdie ross.burton stephano aaron.chun.yew.chan --- Regression (Found by QA test) Don't know oldest_to_newest 80352 0 aaron.chun.yew.chan 2018-04-20 01:28:48 +0000 ============================================================================== NOTE: This bug is filed to exercise the same QA cycle on between old codebase legacy autobuilder and newer codebase (autobuilder2) ============================================================================== DISTRO : CentOS7 OE-CORE: oe-selftest AUTOBUILDER [Legacy] --------------------- REFERENCE : http://centaurus01.png.intel.com:8010/builders/nightly-oe-selftest-centos7/builds/16/steps/Running%20oe-selftest/logs/stdio STATUS : PASSED ALL AUTOBUILDER [New] --------------------- REFERENCE : http://centaurus02.png.intel.com:8010/#/builders/18/builds/17/steps/5/logs/stdio STATUS : FAILED (3 testcases) TESTCASES : oescripts.BuildhistoryDiffTests.test_buildhistory_diff - Testcase 295: FAILED buildoptions.ArchiverTest.test_arch_work_dir_and_export_source - Testcase 926: FAILED runtime_test.TestImage.test_testimage_dnf - Testcase 1883: FAILED 2018-04-16 22:12:53,996 - oe-selftest - INFO - ====================================================================== 2018-04-16 22:12:53,997 - oe-selftest - INFO - FAIL: test_arch_work_dir_and_export_source (buildoptions.ArchiverTest) 2018-04-16 22:12:53,997 - oe-selftest - INFO - ---------------------------------------------------------------------- 2018-04-16 22:12:53,997 - oe-selftest - INFO - Traceback (most recent call last): File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/core/decorator/__init__.py", line 32, in wrapped_f return func(*args, **kwargs) File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/selftest/cases/buildoptions.py", line 166, in test_arch_work_dir_and_export_source self.assertTrue((g.glob(src_file_glob) and g.glob(tar_file_glob)), "Couldn't find .src.rpm and .tar.gz files under %s/allarch*/xcursor*" % deploy_dir_src) AssertionError: [] is not true : Couldn't find .src.rpm and .tar.gz files under /home/ab/yocto-worker/nightly-oe-selftest/build/build/tmp/deploy/sources/allarch*/xcursor* 2018-04-16 22:12:53,997 - oe-selftest - INFO - ====================================================================== 2018-04-16 22:12:53,998 - oe-selftest - INFO - FAIL: test_buildhistory_diff (oescripts.BuildhistoryDiffTests) 2018-04-16 22:12:53,998 - oe-selftest - INFO - ---------------------------------------------------------------------- 2018-04-16 22:12:53,998 - oe-selftest - INFO - Traceback (most recent call last): File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/core/decorator/__init__.py", line 32, in wrapped_f return func(*args, **kwargs) File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/selftest/cases/oescripts.py", line 13, in test_buildhistory_diff result = runCmd("buildhistory-diff -p %s" % get_bb_var('BUILDHISTORY_DIR')) File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/utils/commands.py", line 191, in runCmd raise AssertionError("Command '%s' returned non-zero exit status %d:\n%s" % (command, result.status, exc_output)) AssertionError: Command 'buildhistory-diff -p /home/ab/yocto-worker/nightly-oe-selftest/build/build/tmp_buildhistory_20180416200849' returned non-zero exit status 1: Please install GitPython (python3-git) 0.3.4 or later in order to use this script 2018-04-16 22:12:53,998 - oe-selftest - INFO - ====================================================================== 2018-04-16 22:12:53,999 - oe-selftest - INFO - FAIL: test_testimage_dnf (runtime_test.TestImage) 2018-04-16 22:12:53,999 - oe-selftest - INFO - ---------------------------------------------------------------------- 2018-04-16 22:12:53,999 - oe-selftest - INFO - Traceback (most recent call last): File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/core/decorator/__init__.py", line 32, in wrapped_f return func(*args, **kwargs) File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/selftest/cases/runtime_test.py", line 163, in test_testimage_dnf bitbake('-c testimage core-image-full-cmdline') File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/utils/commands.py", line 213, in bitbake return runCmd(cmd, ignore_status, timeout, output_log=output_log, **options) File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/utils/commands.py", line 191, in runCmd raise AssertionError("Command '%s' returned non-zero exit status %d:\n%s" % (command, result.status, exc_output)) AssertionError: Command 'bitbake -c testimage core-image-full-cmdline' returned non-zero exit status 1: Loading cache...done. Loaded 1300 entries from dependency cache. NOTE: Resolving any missing task queue dependencies TESTCASES (MANUAL) ------------------ oescripts.BuildhistoryDiffTests.test_buildhistory_diff - Testcase 295: FAILED - REPRODUCIBLE buildoptions.ArchiverTest.test_arch_work_dir_and_export_source - Testcase 926: FAILED - REPRODUCIBLE runtime_test.TestImage.test_testimage_dnf - Testcase 1883: FAILED - REPRODUCIBLE 2018-04-21 00:18:49,361 - oe-selftest - INFO - ====================================================================== 2018-04-21 00:18:49,362 - oe-selftest - INFO - FAIL: test_buildhistory_diff (oescripts.BuildhistoryDiffTests) 2018-04-21 00:18:49,362 - oe-selftest - INFO - ---------------------------------------------------------------------- 2018-04-21 00:18:49,362 - oe-selftest - INFO - Traceback (most recent call last): File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/core/decorator/__init__.py", line 32, in wrapped_f return func(*args, **kwargs) File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/selftest/cases/oescripts.py", line 13, in test_buildhistory_diff result = runCmd("buildhistory-diff -p %s" % get_bb_var('BUILDHISTORY_DIR')) File "/home/ab/yocto-worker/nightly-oe-selftest/build/meta/lib/oeqa/utils/commands.py", line 191, in runCmd raise AssertionError("Command '%s' returned non-zero exit status %d:\n%s" % (command, result.status, exc_output)) AssertionError: Command 'buildhistory-diff -p /home/ab/yocto-worker/nightly-oe-selftest/build/build/tmp_buildhistory_20180421001753' returned non-zero exit status 1: Please install GitPython (python3-git) 0.3.4 or later in order to use this script NOTE: More additional debug messages when run manually compare running on autobuilder. 80353 1 4276 aaron.chun.yew.chan 2018-04-20 01:46:05 +0000 Created attachment 4276 centos7-distro-autobuilder2-logfiles 80374 2 bluelightning 2018-04-22 14:10:21 +0000 Well, at least for test_buildhistory_diff it says: "Please install GitPython (python3-git) 0.3.4 or later in order to use this script" - so it looks like GitPython needs to be installed on that machine and that should fix that one. For the dnf tests it appears to be some kind of problem connecting to the host from the target, or alternatively the package repo isn't being shared properly. Can you please insert some calls to wget or similar into the test to try to see what's going wrong? For test_arch_work_dir_and_export_source, I'm not sure what the problem might be, so I guess we'll have to run through the steps of the test. 80409 3 stephano 2018-04-26 07:37:09 +0000 See Comment 2. 80410 4 ross.burton 2018-04-26 07:37:58 +0000 The networking thing is almost definitely a firewall. Red Hat and derivates has an incredibly strong firewall by default, which you'll need to turn off. 80422 5 aaron.chun.yew.chan 2018-04-26 19:11:58 +0000 I am just a little confuse on the version is higher than 0.3.4 (python3-git) error messages from the bitbake build and yet am still getting this error. Anything that i missed out? $ rpm -qa | grep GitPython GitPython-1.0.1-7.el7.noarch $ sudo yum install GitPython Loaded plugins: fastestmirror, langpacks Loading mirror speeds from cached hostfile * base: centos.exabytes.com.my * epel: archive.linux.duke.edu * extras: centos.biz.net.id * updates: centos.biz.net.id Package GitPython-1.0.1-7.el7.noarch already installed and latest version Nothing to do Hi Ross, This error is on centos7 distro and not found in Fedora distro. Check the firewall rules on this distro and its running $ sudo systemctl status firewalld firewalld.service - firewalld - dynamic firewall daemon Loaded: loaded (/usr/lib/systemd/system/firewalld.service; enabled; vendor preset: enabled) Active: active (running) since Fri 2018-04-13 23:22:35 +08; 1 weeks 6 days ago Docs: man:firewalld(1) Main PID: 1073 (firewalld) CGroup: /system.slice/firewalld.service └─1073 /usr/bin/python -Es /usr/sbin/firewalld --nofork --nopid 80432 6 ross.burton 2018-04-27 02:51:10 +0000 firewalld is basically stopping all traffic, turn it off. 80452 7 aaron.chun.yew.chan 2018-04-30 02:56:37 +0000 Hi Ross, The firewalld services has already been disabled in this Centos7 Distro but not sure how this can be related to the test cases which are found to fail in this case. Rerun the entire 2.5 M3 rc1 - Oe-selftest on CentOS7 Distro http://centaurus02.png.intel.com:8010/#/builders/18/builds/26 80569 8 ross.burton 2018-05-11 05:52:14 +0000 "Please install GitPython (python3-git) 0.3.4 or later in order to use this script" Centos 7 doesn't have a standard install of Python 3, so however you installed that you'll also need to install the corresponding python-git library. 80608 9 richard.purdie 2018-05-17 08:01:24 +0000 As per the comments, you need to install python3-git so this isn't a bug. 4276 2018-04-20 01:46:05 +0000 2018-04-20 01:46:05 +0000 centos7-distro-autobuilder2-logfiles Bug12699.zip application/x-zip-compressed 26668 aaron.chun.yew.chan UEsDBAoAAAAAAOODlEwAAAAAAAAAAAAAAAAJAAAAQnVnMTI2OTkvUEsDBBQAAgAIAN2DlEzGfxRR AkQAACrlAQAvAAAAQnVnMTI2OTkvb2Utc2VsZnRlc3QtcmVzdWx0cy0yMDE4MDQxNjE4MjIyOC5s b2e8nNmS6zQQhq/hKVLcAFU6wdq85I69KNZiu3UptpKIcWwjK3MIT4+leKZhZhKrPUDVqTNxkj/+ rKXVarXEEpq/ScQbmq5ovmFswyVJpFy9WXX6zaCbndODG6+++u6L78c/H9e1aferRp21XTVma5U1 eti8+/LPpNd+5p2PDt1Rf6S2H527ynVv3nb2TtuPWrM/uOb8pgPNR9uTaeqPjtqpj8b7/S83enP5 7nbo/79bPrx34475tTv+eGpbXytb47bqTq/e9M9/QSREMnrtF/xVqWx1MPfalqppurdD6bpyZxo3 vtG1pdWV6XXZqqNeffDwzfXH04sPn96QbxJGqGTXbrhar9er7u6KjEdxTnRDuT2X7txHcjFOMpZg uEBGF3GVqq0RBSckoanEAIIsjQMcbH8sj10dRSQ2UhKRoYhAlt0kmlpsMCdDqeq6tPrY3Y9c2+3l zfUnl698E66ewcnxRoQWHAMHMomA2zXKOd0iyHhOZIIqNpClCLLh0L1Vfa/bekDQiZRkOaofgIwi 6SrbDUOtcYjpRjLCRIZBBFmORAwvUXCCSC4wcCCTSLixR1h/WWP4cpJSVOsDGZbvMjjEl162YQkR Car0QDZjUraXvlB2ttbWI/m3H4l+9hcvAHFOOEV1B5BFdYdyH89SkJyjqg5kaRSLae9VY+ppVI8G E5TkAldrIEOBOWX32sWDSZJnbAYMIQOw6qCru5M10Si+g+c5BgVkxW2UrnWmPcVWV76hgghOZ1AQ MkCp7bm0pzaahFHCGKrhgOy2MdLtvbFde9Sti6cRRLC5csHIgOZ+5CgPqq0bbaN5OCcsR/V3kN3u 77vOVrp0argraSROsRGMUFYgcEDGk1gcFofDE1/sSYLyAkB22wswR7XX5VG1ZjdeRgLRDc+IwFUX yLLbQJP165WrDtE8MiM5bugCGY3imSZ/g63KaFPImZ8zpSnHgIFM3AT77TT+1ys76HiYjKQSVUog u11KTVepphwGp1w8jshJmqcYHJDdbtVt15b7vrnnkSx8k3DCGKqeQHa7nvpucDvT6HiUlAiOsT0g E8ltFKtRJJSRtEANEiBjN0ms9sGAsu7etk2nal2XKDCWEokqIpDNFJE9tY+O2M52x7I2tqTxYAUp KM7zARkejEWDcUYKjhpBQHYbbNBuqHSry65tztE8MiUS1bRANtO07rUdTNdGkohNkpAsYRgSkPGb JG+V9THJodTWdnaIJ2IkFShbBDI5G/0qfTDWt54Qk9N/9J0dK7E72cr3Px+N7XpnunZ4DId5zhcw qQ+D3C64Lz7+6psrwtuggeNgBtfZc7lVg6mesH3yty9cK0eRECpR5QgygcDzF84cddnbkbW6G+u9 HtC80punNMfwgmzGBx5v2weXc6sP6t509gndZ2a4+7ZrPdgLXFKSpBAYLpDd5qoqVR106bqueUL0 lfdLv79cvFxe2SYpiMQ5fSBjM05fZbWfT6lm8pD3utVWeRw0aBG8OY4CBRmdGUdVHQzvBXMBmyiw MVCQ3S7EEAYr3xp36E6u3Bvnjc4Twp9Ua9wZEJ81P5EEH4uiDDTIbhvoiSIY6t/VxUyPf4eRuTrg SX2hFBlm9AfZTDzZ95DqoEzr54/Oqqet8OeHzyfAZ3B0k1DCOaoYQXbTGvoxRFdu8uFGw+eDNCOK tqFNrj99uAzN0RfdS3g8IZkUaDwuSCJnjIzVyukw7A298qNcre99ga4/u/y9hiQyQnGxI5Dd7hoT gF/tiaRhYa6acQwNyEQsTbnTvunHMV2coEJimECW4Zi8AYnkkhuakQRXcyBjSK7BHPtGR6MJSgRP MWggiy+yvZnm5JFcqfcepcTYLpClSTTXJV3iHEmV+RqRuNEJZHEVGczoNHpGUclkwylJcEEdkIl4 qqrRqo2E4huaEyYzFBTIoqBq3TfdeVqXiORKNzwlFBd0AllcFeo/nFVVPJHkJOGYpg4ykWCIyntj 3Sm2E8rgmhYJqqxARqPIdqY1w8EnPpjdueys2Qc3LZpQZoQlBYIQZDRZQugO2mIQx3+UFBmqI4Cs wCCe+r1VtUaXYuGXLYTAlCLIJF2AiCzGYpMkfpae4wYEkMUVY+Ap++a0N+0QzeXXvwVqAAVZFsfV qXrCiqYSjEic+woyGUM1dYhIIOaTVATKyIFMJAgg72pEQnEfEkgLVN2BLMNATas2kWCpn+VIzjFg IJMYsOCUhXlSJFvmDVNGMcYCZIxi2FrlzL2O46LMe/EiRVUmyDCVCaNoJBjNicgxBQayIqrpT8sX kUDcu6M5zgUCGYsEGrTzSauRTNIv6vGCYZhAxqOYTn2tnJ4WTqO5ZEEK3EIcyASeq7xkSkXiZeOt CMctfIMsW4wXb2Rp7sOGOS7QAzKBR0SwFSGahAslg0zi2aZ1abC3MYySE5qj/EeQFa9jLFkcJUs2 LCccl4cGMvlKSh5NKVMicJNSkOWvpBxO29rYSFTq2z9NUA4TyJZXe69CbOvPaMzQzFC9G2SxdjvM GSKJmA9rpKjJDMhkgiBCWBrGvclIcOMIyOKs4OSWlHfathrnn/PRpAkiU2T/FTS4wlzMp2v2d/sR xQzOdrVyav3Z48sPr/zo7V463Jm+1/Xq/Z/GF6vteeUOelV1x6Nq61VjWr1Sdn8KKYjvvXjb9T/Y 3nv/CsXtTn9UZlpLGGKfjvnEmCxJkSUtQzxgZhn46dJguTWtsudyp7VfANY/ffb1uvP/f/6H+2n8 Cd8WngFmfgFX4HIhQMZvA7aDU01TPu5SKw9a1doi4HiOmG6DTGQkFewm3LbrXKl3ZmTZGX/RK+uM L8f1l75ITfX5F1+9SFX4ykkYkkomGyln8w/3nY9zXgKwqw/23ePK21hYX3aP62zXSkxSv/AoUmR1 epkgeULnsp+n7JawqcpzqrrWI2doiQ9vri8LbePFZ7p/0f5IGkLkDDUyg+z2cOcb3GkYOctKtZ65 1SEUqsphODyuB/dqGN529oF9p5U7WT1c2L+Yrp5xs40QRKCSJEA2l3NyVD2OhoeUdYmqa5Dx23Xd nJzfdxh4QkludWiVDscY0m34bOoXQgaMh3Ov7b0ZOlvujm7AgUnv5WUS4ziALKURhnk3+A6BxMr8 RtOCYbBAxueyZNt9eVnGh66Mw8tD5gXOcQBZOps1a71R9r33X+68LAnBYdj5NcP+XHab3SP7BUaf gWwqLJdg3vYiuEA2mwN4blQ7cp36kGhn2jKg4QhpWOLJUwwhyIqINJ3HzZPh8nK1DlvXPg6v/TDy EpdkRGYFmktKUmTJzGDXn8uDsnVj2rvSWa3Ht06tGxHNttPrb8z2+89fIkpJQlF1CTI2TxRAhl5X RjUxKJwvQuEiEuUP5Zy9DcI2Se7XwzEgIBNzNuPop7Cm3V+c++F09DTV49UIVel20C+3IL+7ALkZ HWTX53e/amt252+nbS2bVd3B4QB+3mL1m9D/3hxNO75oVmpYqVVvtdW/n8xgnF51Oz/HCU/59O7c 76zJZ+Yqo2f9uK+m1K2zxg9FD++s/0n4rFxSv2TKBarHgyyLGB2Xs2XeN6AsR7KFGUsuZmZ42qnS 1MHjmXIzqt50ZW+737Rf43/4wvrb8cVXnz1v7XkYiXMMHciKJJ6u6o69acbXHm5v1TEOLiUslRg4 kKVxcAdVP8z8dA1vT0NQNGVGl1DyuW3nTbf1x2rUxtdmpxuzXf89nXrt7cQn45d+UHYw7f4luILk aRIXrvjh7A5duzp29anRqy+Nm94ww6rtnO/xg27d+1duMjceHHtldXiU8FzDwgcSIXT8Hz+Qv0mR IB+orPVOnZqlNSVSQlP+Xz+Yv4mciRv5EWo6umV6lPGb4Qk+b3ZXyFHdFGQz3dT/99hQmsvYGEA+ 7Xwi4R/jHx9GCmm818CyZWDZMrCvhq/aqjnVur7CkzE0D8jwPD+FjMuIcsr4Mi4etSN0QrqC2O4b PXk+/yvdEO78ejixDE7MTIC7/oGoV+4QcH7UqvlhvLhCgvRbQTbjt9ojmiRfRnJ7QOwP5wFLUiSL SAo6F5BtytH/VY1x5wekEEK5mPqu8wmpPq54DYv+F1g71Qz6/8RhMd1/ERD7L4CcPS0rnmIZzUw4 wYTeNej+OdM342f/P4wPDSFxGCIJd04GONOhaA8gJ2eaC8gPqrpTez18ET7//uR+Og9OH6+x0WVs 9LZBPB1L/Uelw/6h54g/W3P89RKw/F+xQl/7P3GiNhe/sqTYf4H2jz2ptdntPNpQWdO7f24//Wz8 7OVgTBHmwLf9EtjTC0KabBgjYsZO1WFNur+09fVURN/bWluYPDz5yXR23x9CBiTdApJCLiKZ2QBr +yMSpMD5QyATsUdnum41LWnr1VhQflX9+U/yhORJPmPt2nCMy7idbPqZ9ff6h8urX5yBzIgnPy0o SWbPRUPIgGjfdFssTEY4Rw0GIKPzY9PIMmWnYbBoSDzOUFggY1FYWCKaEokLCYKsmJs03J16z4RE YhnJc1RDApmMQJoyuZBUnBOKcy9ANr8Z3A+YJzRSTsRs6htCBkh+ocSncE84tbFINEFJljI0mhAk L+aSd3w09OEADH+8pPVR0tpbCDv4de1KP5zU8YN9mY+HvdtFhuEDWY7gs7pvVIXEEz4tWnJU8YGM z5wlVAYKz6S3l5NFat0j6KRPSsxwsSyQFWg60+L4Um/FGS4QArI0ls/0d0tKL5x1maFOGwBZniDp 8KWXb2hBUoniA1ls7XoHCl96IaU8RxzM9kQm0XSmxfLJhDCJ6rkg47OHwfR+vfaRpjzqYVB7jQOk fhUGB8j8+vbcuso0rIYc2yktwVbeSXo4CAg+X//4+PLjh2++yOuRfU45xfCC7DW85Vu/lVvZeim4 d2xR+79AxpJl4PoPMzjfREwLJx4uoaf+gACeo2w8yIp/jT5MiP1pieo4LH0SJogQqB4JMr7oSR5H fX/hH6U2dim9lNigPsgknh6AX9Nrmc835TgzCDK+EPu0fTU24ri9Z7L89djl+Kr22oX4IieJRDUW kC1rLMNryptvKCdplmKAQZa9Bngq9qXcfgqFK2iQpf9eQIdx7zjkHNljQrtT9bWR7eWHFn4rPqOo cBrIsmWEfmdGbSwS1GfB4JbaQEYXgk6pCkhSiW//IFtC6hcqLvvFBxSq3LAc6zeCDFmo4IQhGYUk OeqUE5DRRYxh3xAS0rv6Kcp2gEziIf2hNiE5GIspicDFu0C2pCxN62PPpxZX5+mGJogtRU9k+VJO H5FGcjK/s4piOEHGlnK6rjZ2Ca2Q2LwJkBV4WlidR1HKlEhcDjLIKJ4ynBiEQsy8q8JQR16DTCR4 xMvGZCSjP8MRGXAH2RLGbnBToiuSVFIiGYoUZBJPOh0YgmuWud+9IXBzZ5AtMUmX1WIkJEsJpyhI kC2CtBXeEIX015xxDCbIsG0TpmMoyAJxpM5z2RLP2HV4Rj+1RhkikC0xRBA+w2FyQTguvguy2B4+ HS2LJBOCFFJiyECW4sjK6qjusHx++xFDdWiQ5Ui+vUGZGz7eiRLOUV0EZBmerjw41yMROSMUt+0L ZAKPeDhtkYCiIEmKcspAViwC9IeG/sXa2fQ8DQNB+K9w5BChJLYThyvixgEBEscobUOJSJsSp+Xj 18M6FlsotXcKElJfKIMfXMdJ7fXMBrxNq9V8GjqKyzKVY6DBxxcELPKswfa4WCbtyWs/QhBP5eQa jOLRSFS1kpR5Up7V+Uhz8/m4PeyevTkfXxx2d3FoUV8/hGNNGmf61H0DSLCKLpYlSKa9nEEjviTX sjrF0LrTOCwACfYIx7JUEFPrPvbjCIBg38FZFu+S6byczkB/gJcNyyQY8IejH4PRqduxO49L2znX z1TLCgBhcx7LGgEQF9cCQEnDX1TGQOEEAgBjH4OxAhh0ltPNY5dTE2UBL2osA/paloq12Q1HgKJ4 jKIQULQUADTJZxidmRKiYVmUBuWoMgPOdCxLc6BTnc0M5CTHMlMkvaaCf71n+dwfzgRDr3+nWTcH tUVoWNZIadqPu91w2IuhdA565rCsypNQvPskwtFkWlVjNyeWWTEObT1oMVPZZKaCmFgGMA1uEiIZ WqApkKSqa1khR3LjMJ/EUKXODGYwwbIahGo/b6cvpRCtel5YLL/lWlam0ahp/5MYSFnosmOZ7LIL lqDemEPIVFOJVIF5NLCsxJjay24Qc1HWA7Z+xDKLch12n4Rg3gKrslCHsUzSYdO0fHBCmobWAAwU FcqyMk8cmB1GX98Ztkc8kg8opLefvQ5//CeTLmm8NlDONMuKKNMvltBLlD1JvSZlMz4BqcGMBlim k0YDocw+FAtcM60mEfT2LZX1TjhY4QXLaimV231CmEyOmWyzTKsiybReeLvjh78geRez34kKb9ZU ZHW8BoCPFd4KSyETbwXKuAyVFNXYNiDLbHJBKhzhoG0/+lue5uVXXzgzemu1O0RaPUSkdSqi+1O/ a92wP64ucz+phj0Vij175d96++udG66KHkWgSZ1lOrFpESDacAryCuvt+npD42P/LWKxei1TEpoQ Zd52awRukomO/FUoE8sSqb3nZZr7i2cKQYbUS/53a6Dw27f0s7/T3JD5b2uVgkY5y+KfnU8oC1g+ X3b1ZCZXuPXk17CVg5a+wg/b22GZfQj0EUpToqflWNb8E+Vj/ar8Izu2rMqy1I6jP3Z+Axr+E9t5 ci7kyoTcOGDkarJSttDRB5aVxb+Dr8QIsFZZaRFgljX5PwBzH2PExp8Nb6DRzLL4aA5kqmwr3bru QMZ07qOcrfIBONiJC5ZpCVs3jjTDezo37IGxSVVL4NhkWZk/AtcezuMyjMNGTtlQ8EyOVbaxrJBQ UoK3N5Ps9j4xOxQRtWcyouL1JCEx/cozixnlsEz9O/Fpbgs5bhmyExBcljX/BbeU45rnxmYKuxWw zP4XXCXGVVRXAkZ5sayRDd+5X6Mbbp9c/PdoBNborMJGLsvUv8KSJbcc1hv5V9juM8vqR2DBbuUm dQ5YX0dkGCnepyU9d1TYRiTLknMB3+VHt3ELOcTgd1W/QdGATh0sU7mIcppO+C1Vabo35tAqK8sq 0dVOUMv52D9AV1EBnoGqV1iWin7rls7Rd7x2OoUomZ9ky3D8MA3js3fr610siRczJuNc/+64k4PU mcb6h2UmCrLvl0s3y0GarNQGAWFZJQBpNxtfwd8fL2Imk2cV9JjNMoHHXVgUd3IclVXYhhTL4lfa qZtdH3jkOJQEAg0dlhkxjnfNR0e1aTJbKwiNZXK04TgsQzfyVCAErH3cELaGybJ43zk/2oduM/br 0oScqaZ/HGFiWfwK/AUUzOzESEWORo+wrEpEfAxL21/64yKHqbImh2BYZpMhRj5n5snTL8P22fth e9O830OqMfcwlpXp5t3HaV5i7SuVKcTwk2U6T++mjhNFnFF2zYfhfjdoWuPMLPYpsKxKezG2FGf2 odsuLgahisxgcSUsKwUQtDUSjM8jFEZlDbYZybImTRF2/eIDUysK+tHYSjXLajmGH6AxDm0yjblO sEwlLfbn3rl28304lfcZNJ3iMrlCGFimZQz7nwwxBFWgJ4xZVskQvn6PAVBNAOauxjIbAwhF/x/7 8ZRov8GKBlmWCtndnPeJ64G29dAxwDKdbj91Ifjdc4s9XLAs3gEhWCJURJNhyX2Oeg2AhmZJlunE lxwfbeCNSmMEFG0CBV2xzBZigraf52mO3DAsFTlVBQLCsjIXfN9rD5uQOniXwuS0sVthZc4sS9nG fvXb1N+j7ZdlVmOlzSyrhe2vH0aMgk6HYhZ8LGviFM6nebr7rRfeegDLKGFZIgT1tKSGgC9GbjBr XJbFr4jotGwKb7CCnVdhmU22HO4NCQCL1SeyrEwDfBq2n9zSzUuUoc5U0tALlTHDOLhU83WyehSV cfPThXwI+y9RBJvppM07KGOEcOLORQmaLC+gTmCZJKMtpCKvPiGbfnefpfROD9hCBcu0gKU/Xu43 r3wFEnaqmWWSrrh0s6OnBP/MFAWxqGM3ywoExD88xUgUnKPDMhMncVNqfjbPC4Pu8LAsOkvy/LSu Yc0xCrKbxW5SLKslJXZUMxYD0OQWjHeDVjIA94O9a91t24bC//0UBwGGJJ2pm2XFFuAf6ZptAbq2 i5MBwzYYskQ7WqxLRSqXYg8/Hoo2aSe2ozVbMaApalskz4WH5EeKh5eirmK6FyyQo3graHeamCZz 9ypCE2WLPb1ngAydfqveU5PtX/T4DOnBoF190GQ7pWc3dJYmKbvZLl6eh+O2m/rSZO4e8TOGG1Wq qCj5jorQ/uBmk2wIe7bbxkWWRXmyS77fele4JttdAXC9+3bJw9BrfQmSJuvtlTwR5b9FuicvQxZs 9nZRLcm09PtBgN0CjTnWwV16eMO2R5Nosj3nQ0R36ONQaLRLh76oTO32Qmgyr4UO0jTbFfHlbQvt HGOabGdjUJN9u2ZhNTv/pOU11pps4D5HizSXdUN76rYq05c+h3Y9libbs0YnWR9X7tLCD1oe5qXJ 9gA1XvmpJmTlJdG7hnSeXEU+aDuS0WSDVqrsHNQhU2yFg3bOZU0W7NalcQhi49mlQK/X9ugyTban XOStY3Jfzh4MG8hJhHb9qCbbjR91ri4qpgkeorWrP9NMg3ZzQZrsBJ5x3ddO4W7Xa+dJ12S7kUPI nMTlLtl+TzBpVRU0WfAM2Tic2S5frhId9FphtyYb7pUvoUrOgu3SwRvgStU2Omgyb68OC7ZLNq6K HLQqe032HNk77e86MhN7X/lbkmn5VbZdttussW+Vd03mPUP27rzLWZxBq7VimizY0+4q0R2tPFRF tVOLYddvB4OabLcV6CxdAjLisXq5a67Fp7LLEuYxEdsa69SPNPVQ5MBtVVc0WbB/WgT1ldcUtFIK /cftdipqsq1KjV7kb4vUrf0F7l8MpUHkpjG5S0tOE0V5oi5xUnMFcCQHHEUp1/lZp80WM3nPynFb qeRF/tpKvayimE6jWIwQskJEVDSmOYcYN18uIpGNsAPwPVaGA/u6yKgdTe2HIuYFQavQys7T+TVf PBCDuy2NYmeUR/YindoF/RjZcVFRO6HiK+JFZU/kMqnJxCofDrqwwI0FPa8LaQ53VYS3yE9mQjAI fXhd5YCHQB+9iqo568KrVzd3+Ov4hTRbRcYRo8w2S9TQzg0CVO9Z1UJqjmyt5kCmy6qmR0dzC6d+ j1gVN5eA4NMxCGJQMTyqjJjjLhx8V9SLJD/kgBcwgiVIrarMJI0lUlvzT4AEDOo8oRV8w2y10+SV fR/XlUC8VwfwDajzSVBXVgnsO10eE3WGXrEQfvtjeTW/vIA4hJZyW9pfffKstBvN7MZsT2jf2Vaf vwhiDPYhxgvc3WpI+yJIMfiKFM9FCl2uBkz0ULUtVUHpiWd/wQgqeYDS0YGZjGAyIKVoythw51Rw maKf4ujw9dX52zc/no8v31/8OnlzfnF4/FLZkhce2+rtbC0zQxdzozRttI9SRmEdQI4ETklaOPyG HaqCoAnkRU4+0aoAep9ywMX5NYNvkvD3vMndkRLZVTaxmiRdkT5Wi0mOH4PVStZTdvvnULReWtg2 HN8NPMcZ+MN9eXLDzocFjRiF5bkFP6T8wwO/xvfNUn73yDzlx+BYPcuHooJFxGmFti0qRFBeQC3I uZAPTaXahnyDL4J8wz3I1/5EiU0BXwTshl/B7rlgZxbn2rDIADyzBjR6qnuLjg5JDKtYwEwT+ZPM 6sWCxFmCzA5fSvWtgOYpeFZqmaZUaCxUESnmOe7gWcKROv+uCxKT5JmsI/0TLd8MF1/M9P9XQG6s CvCswt6PqW+LKMHLr+Q+VMuykiKnlgwVRG7PcYDmvEopg1lVZDjKpXlC8/hBUXTevb88C+GCsmJx i4yi/AGylDH8jYcywMea1lQTCladjhyjwXdyyXnd7OAKO69fT345uxifv38H+m8EB67VO7Gcg47s nCfjX8ewHo+epMAnIsP1/UHn3enl+S9nb8evx5cX5+9+WKWqc3xrZNGC+NbgoHN5evHD2aXmtsGs LG4elhx/Ov3ux/N3ZwAbcpUXiwT+QefNuRD3Hh6lQT7LWCN3Ktaz/G9ZHpXsuuBk2R0K3a7enU2+ Pzu9vLo4GxvMssCXJe2t1P/+w9W6vIMO1nLY/JOhMlOPQ5vWM2WlGarh2hAfMU6rcOYPKQ1c3/Pi QXDSd4Nk6vU9p+/T4bCXzLzh7ESE9kQ+OufNLp10VRmYqmHLanN2T+OaY+yY8rGAfwqXmOxR9EWd /4z1yIzGwHxVzdAfVczk19E/QgblaSL0nmNNTexmCsne0ras6TRMCg3Hx0opyWZriySu5ZDKCRud TfoQxjzCWfyOKPSrt5fjcPkDCAiot97ks9cRS+XdeBaSYQfQrF4ggIHYh4B70uuH8OF0PD57YzAo 8TCeD+JDU2OQSTkM/CcIGbu2xuMfNZkIMKk87ykq1Ex1Zqj3WJnbWnoJ8I5zdYDRZEZpwkyWxA3l kEdwHF/99NPpxa9hZ4s54ehYUF5EOfgSDRkCt2/5Tp9tJSGSOZLRj3Va0URR4j5rYf2zi4v3F+Ge 8tsouV2iMB9AQLrLgF/TpuQXBSJlggFoYnz+R5K/r/MY0VNpH65FLzm+LeZyqrGYyWR1JWTyAnOe 5uFnTCxgUhtR8BFobms0dpMJm1NBLvJsmepant8LBh2hLeC2PpgVi0Vxx8LOX/Dm7PXVDyYeNAN+ mC2z3zRa5S3GiWD0IwvCpk2+kb7ktT4IoorCb4efhRQJvcXbBJi0gfwg2BxpRdTxMiK3CibKoqwX EV+pdtiFw9u04nW0CJvE4QurMvEs17Xc/0j+CjTjMi3kB8r3/iPpq9w3S5ErWhYkXnvAezW2KfPH qp6cN2+WsmHwAlSCEH7TScbCAy6RM2IQLYSE5AGHVAp6NMXh4+qAucZQ4xENZTyaGptE6L0wnqMF i4gYyBpB4gktYISUN/NmS58R9mmdqEzvsyg3AhIer/NkiclyntfkEU88bQ0DzXQoxrOcjVR4t44R xOk97vokSZ1lDyY15SKKkyzNBSyY8ouS5oyZIfEGz7iuFus5uM8WnhGCezZMU95/Mh7yNP8zMp7Z x0XKac8IqcrMeGpAyIxHmF2XX+amsfClg2QRHpdlhE5TVuQmlwW938iF624EoIXWQypsgNVmYJQn Zljmb6gXV3RTP0TwDfmzWWqWEL8hSWFWFSyGBl3XavNDyQvRNh9xlJv5TLNSz+QmWjoqYpoo2ajs 6qBBs/CYmV40cr5GXrM1eZHsjsw8JVOzaNO8rHlZFbzYMGhsKnK/mQKXM+ampJvpoyT0/hHjpug2 Q2XZPdLhk/mU4xQ+NQVSb8YEzZyZqUTIUy1WG9HMYVRvVBF+jfYijNdTtpE2yeLSCELrbCoccb4S /ofuyj88pwNH10jKrmnynCGAOZRQcG0mP/wS45wmO0RlR5nBrlllT9Pc6KAmMRBSl4l4BPLxiwzJ BNeV+QjqZOcFVpBDdCt/tecL2BMJPMHkq0VfyqKajbSpRokrhga9uc1gVlSgThjX0d/JbCUgNwLk mJThkb5cpsakwGiVRgsQMMkKfHPKQ3C9E8sR/3B9vdMbvBw3txf4mtsiEoB2LbI+UmrDcoYIQOZI Tzt9vk9YTXFoltvKgOgklrxdgsdlk6uR1B/UEtkoY6MDlc8R5w8uGA9jvJ+h7zlOPoCySnN+Y+EM wcg9kJlakpOGMYoIN4wOpEwT+S6rvifynfFAm29ltGYypYsJ0fHu+b4f6GR4CIkcxXOQvgfXc4BR oWvCdLEh6ZHj225guwPw5AnbjnusuZiScPjvWH3HHfZ6/RM/OAmEYU5WTIliWRVxTJmhVd9/LMPb lKFKAf1XSSjiPrP5mTOmj99bVYNz92CDpGsWL5GGIeCLWBpTwHc7fLGhnJRx2hXfImIkvpxuFsWj vhf2/dBx5IIp8cMD0iQBHpXdNGlSpjM8hWMkgpxu464b5UU3Ke7y1ZMQWAmVAGvC6Ms1BqHqqMly V9SdLOKjKroDcjuP4Da7w4kGItrvHWnWWwCp2XRlKvGbcDyhh29ar8rnaD1o3xyAxGXdzBQndQGE 5iiAIHiQDLx+sI2nbMlkhTdEGDCni38DZqafzqVZiW+5vuX5385T7nzbnwVxj/a8XjChSTx0Zn4/ OhHQbxh8OU3ec0+8E39giZoIpLn+FrCWjmxhRfs2iaC6g2uhYkXZqJjNADKajUTef4K0HLlDz3KD gXVieWGoH/Dszr61/O+AKMGRA/UtZdFsamVFQieNF2oU+M69P3BIz4NCtGm0vcSyauSu0ssjqZVf a0RcaA2LGgQum3OKzz+EYKiu48e0uqXVRryml1PLiHc4zzjH72ZMv5FAR4A8n0mkLkqjnyvynDZj 7YoKr45y2YoGaDKiXPKJdWLKsILjOF7x1anfS39X41pSyI3wpn5qV7EQLbjWyPgu5dc4baqmBzFI dhyU04oh8RP0ajxQCnWVy4kmiDWgWhxizFNk57NmtYBauJXmzSRXF3hRx9eAVbyBQcGA4IUBzEZW Fm6TEGkAX4tXXGWgjH5K1DvKsV1BvOYTg+dV1KcYKufI167ib/autOdpGAb/lUggDUSBnewdiA8c 4xDjEOMQTAh1awaFrZ2SbjCO/47tOGsaulL4wtVK8G5NYjuOYz+J0/U/ChW/Eiv+12DR+teiRcv4 vty5Pvcx7qBdALkYDPCcRgieWlWCUNf1k6/OzaA37I7aecXHEk8FREXS8Gl0YTjogeo68EKRwWAw Osjhs+24+HoC0QqIhZpCO9DxVlKHRXSe0DxTyHSe/T4wbTciFD2riDP6rGClu51YpzvgO717+9rk 8X3xNkyilVSWmz1o73DnvOgZzpZ6rGfsi1+dFpQ9XZnunE8hLkl1LwE/dQcGSOOxFmORCbgQLJ9m Kl5kWHhP7m9gChHIkDdLUTkTCKerq5TlcyOFMAelIS375M5VcsIaLP8y/4/f8QP+d0Vs0XPCpMil RXVcFmBivZOT3rDXvzDqt0eDYS8QMG3cwn4bC7ujzrDjrKwehQpz/pzCQ2MBhdChLhhPjCLuApYn NJ9B0BkoOlSRONUR0/uPxKPH4/H9R0/EFCz42kaJTl+ghYwuwzw61z4ROLuFiSfen9sPnl4kZiDX 0Z4NIEEFU6msY1zWH/adUeQzOPmZmla7JULwZUrATDiYtLPJyS0uO1pmyHNZ/G5l/MlGuYA+XpTZ 4qI5ckIRoWoYe3Bks3tsGPuddreWeSLbyz5foPYgFRrhnsmhK2GeTE7Vvtq4usPh8GR0UiYWF/ZP Kq2r41jXpQrrKlWXY2m/0q8KX+cePDnjH0xxYwZbhoiXGIJWEniLNKFjCNBMIK62+dbyVq2796/d Hr9+dO/2kxePxi2xC1dbyWCccnEtANmMq4F3ORE+ZnI+f8WC4Sz4UJY9Z4UaMPzsnb9jrqAqzxMo r7DFXrvbH33v6AZdNMWTfn/U6dWbIluNpkNMZ3wg85W48RBO6Ty4acxmEusMh/h+GCfWRO26jN7M RcFVeBffBR4CVC1lJCM7chrWYGA/H6RCK40BV0CtvbUdggfF04Vf+LBN2UUlBH4AhwHOXaMpAANp uUVz2553u4+1D3dhvEKobFsCsnijwogEMD//TFd5RxcEk0jFUB2RL6rt+4u0yQxaxX7S+aEPqBqr KOzTLo4k9meNZOn9DLDwShYeWbz1VqVJ/ElaRRYUnpJKViFOK6en/Hw39hAXV9Rd4V83DyWhpQj1 36gUkFfJhVJuVuE+wAm41TIg1lQdx8askoAp0CCXU0VDhFQHFmDGUAHFa23480MHdflTHjckxGub AhEUp1qASGagLBibOSDKXAFAmzWQWo9EdsK6LyHIJQUS+QCBVPt0q4RZUwMhMp+yC0vKBNGeJLhV QUYp/OuNTKQCSyC94LEb8gtUl9qp90cdDywS2m2EUSWehwvbo5rBmS/kRyOV4Kcy4w21c3e+xzFV uOXCk0ML/4IA6M2kvC7ZYryTiQk+QEbJI4PmlLiG7/s73xWUjzD13htjTHnxOJdbH0nr7HDpdJnh ngK11DEYcSw1E4L9u5LZoGWoEBG4ksD0W7yldJrcw2oeYnVOb3/eVrN92iaCD7iTlWYpmTwoJScY J6zSnAzQZNYlF5dwezvFUEhneMwbXpDOW+mPjSNbmNAunsKpDbq/+eCWaYANP4QbUbMhBUBY4ZMQ dhyTyBoewRx8LQ6QNVGEPUe504p2scaxYbfhTkuOKSVCcUldB8HV7amq7wkFYr5FfAahtZXID1Jn LUvOmADMkJjQ4kcU1MZPE5zD5RKgo/Z4IgYljAD8YAN7i+CLoAA9vTAzlkrw81UAGIa/F+5T5fLL qSZg77XaCZ0MRoMyJ8SFl2o6IRuJBOTAUWQ4mSfd+Wi+81tpbM0d1oTQOU91PpD83a97nkOscC/c ESRT5UI0NXqOg9uw1REmneHPIr/CSZMdrBELuGqSRulCe3aYEqC2taECjRRJpQ/t+Bf7ivZLqAAb UamtzXuI5p6Ymb9VQ2nqWyLotHG9zMSYTX1q0KCCnJL0FCGmSx6PJ+Nr0zE8llFBLYWaikGVCQLo 0E47ZOKEbRHHhZxaBTk0V6smGCPA0GI6fvLw0ZMpFdO4hWoeAwBRe58uWIs7KLjyOT9X6XuZ24ui B3HoeRv6YOcpqUHz4VU7sZnQ24BXEPYv7l77ffDtkb08AS6WJ8SEDJizRhZ80T1hb6bLcrhpxa5g 6kF84DdHceeyGBAzZcIg3fcxeo5gQYwKXg760xcMsxvIjEAPukgnMMBMicEY9uQq2PcROqp0SJ1+ d1CKiriw26/nkGQA8zVpZRxmiDFb+mMxA2e/zaQm74qnCdM1nnvI71eoYB1+jNfb9WGYqSHIysQj MaOfxBcrXMESA/pOXwtlVUywGuUj+ak/04IaMD2yCpU32K43mhEAWBA/c8ZP0mk6tV2YYWip0RYW VwtcyjjWm98MRMxIBD8RXL7IiIP7zsSkoHX6BPzFBPtLv3ZOAjsFFZ2l+mUdTee4l43y+R5RI85o aZHXwPMjUmtO5cYLAiAcwaucmDqgjUW4CefxKs5iXlm7q9+cExKuIIh4JiBlsXNiRGmd7GZtAlyc 7QvWQJ74502CuglEDfk9qj/UGsLU/qA1c8I8i3Fe7EEoDZ5I7E1HKERhxtrxnkwgYVhWQSRJfRpe oCPXPMP/X+Uxq7zAuRPw1zgyN2oEyHdb0Ld93WIB1Ys5iiuAFkoq8MdNAqBX6YO67ZNRqQ/iwks1 d/V9XAZyzKUVU0aC3sO7WUmSgTX3UczY5EgP/E6H0pvwIIPOC6qUxES4qg38CIxJIcWx4drajoZX Qny5sA7YcBo5Q42aQkBm6AT4sYoYxCq5ogmFNTEuhlEUM4LOV0sB67iC0jHtXzjguXwvzu8K3QWG 6bIQdBnpK4kTAn+CUlY4CDqpduD1ZvOGt+R8XlAidPwmCbMtEF7wBik3XKSrVMHu4uThYxf1Zypd wWJEgt9SwtSJtctQyaWS+q23iMzyzYtQ4w4rPfs3l8sUOCs+LQE02e0zsb5LxAdZWQpHbnZ9HCW4 pWndtWIfeOnHDS/5DW3g01kUK5h60yfwGyRombjbhu/pcm5XDb7M8s185IW/kenCLWZkqTqIRtBn W+DhxPOoGcA7tOE7fvCEGoBQIhRcArRd8MTNwKMv42pXNGx3jnqiS6PhsJ4n+ljUw93EOATi/1Eg ZN+FiV1fm9DPwCl36JDsXZg0gU/GKatFC1bRXPq9SHlZLVJaLrYKYmlZ72xZLUK817AX124+uzuF X7lB63I2IOztCutivrk98XY9Qa+PzpaM5RVUgm1PwPknLWCcX96dTK79NMfrL3+K12IHtG48G09/ oXfYrjYzHkL4t5M0VJ9vqJhQRnB3jZkeGLXgfhrRPmswST98DUyL+g08OWoair/Hh/2roGTFKTEs 8KILg5qvPb5xx1S/hfeQJDpn2gZMBFaJM7lAf/8DgNIb9EeD0l0bLux062XnO3D4pCJ/6qTQnKxp k+pqUl1NqqtJdRVTXcX6TVKqSUo1SakmKXU0KdXki5p8UZMvavJFdfJFTSqnSeU0qZwmlXMklWOv Jt3SpFuadEuTbvlBuqVJhXxj78p2nIah6DtfUfHCIiaTfUFCYn9ikYAXhFCUNp6ZQCcpcVqoxMfj e+00sSfFU5p4hDTzMs3mc+w418u177l1hdy6Qv4zV8jwlqv9QXPvD8XZ3b/3dLEaecsSTBQ87e+O xk1m2/Wlha2nlUPMJmjfGh6wCU9j2ASMwS4uYV5OEqe6+JbOK7iK93V5eHnV1XvtbZnRzvFjqEyu mbuDy27EMuk2E/5HW9w2227ifq/XMLbCKLKjeMBpCNdCP3Svt9GtP332eOYyxgF7DsHzoma7KTdZ fYqHp4wdu/Q2g2zzO3Dc2o1W2n4QnsYuofxmH88uuh4Sd3UVyyV06kXPiuTw0IusLKum6yzcu2ia 1ePT035AAt92k+Te4yv3AsxlbrFgqMPXgN5p/6ZnwLuAYS7l7kj2kjmN13y83lSSZw3zjTnGyn1P zuG9R6IHCnvzobAk18oMo8zx1Pe+2cRy7SRKvKFNjOJiHIfX/QQCjT9YrW+dW/i2YtxYxehaRwyr 3p4ZS5RHJIdp/2ujiymMJafTJqfXyWG3jiOKcrhSDkBrtHKOZLc719EUpS9Uc/rvoyPqO0B0/3sU xFUFwZpY2AO8X9+1Hv6lSt/dKdXsrAQoulgv33969ubNAxgiv6tKdu6SnoN4BiPZczyfDSaM3zxX JbuvJv4AilFVhXmdLSlRZAWvC3TbxN20JTsZ5a9NbkgFw6Xiaiuo0VnR+0IJgj5x+kFymmq1GogT J92AQdyGYr99Ihn4u7Hc96dAShAcguA6n159eAul3MVnbaVP2M+jxU8wicPlT8Sjhwug4HPjS6D8 nrUiKOzn4TIo8NC/CaH85r6QsdRNlMjfw3G7RcDvDl2jcHK05s5rSfQFxIVuSD1IZA/DG3KNrkWV EwgCg3nk3Ojs45r1Uests14NaKg0JEfFowYvVmdiOUQQxcwaobhsSdCScVNbr/laAEegWW3aF4T7 tNCi85iHmLdZ1teKOSK2G6sBp4iAxrJu+EHKD3ZKkI5nO4FvNb+aO5+rNU67U4L1qOWHk/Qz/hid UR72cr5tJ5RBMRCeOOljGaQ9+3LSsvralS3OopOygTcEeaEEvgi6awNXFRUBhFdr1oAsZsUZLFoR apUEFuBsdvPkXQDMnJxlzNsg8KyZkMckJWV2HRLoFgFtZ0XOCDCbA1aPLwld1QVpWF3qrzyEef4S LmLVErP1WKLYrN3ZVT8Hq5yoRlDqN/HRtHSwkGvCW3GXG452PSRFJ3H5SPRQMR6eLIaHH5p152SU vwENTP+RbQ9L3gub7blhZ7UdL3Y8y49CemBSwhgf+FS/I+A94gs+SP7Ef7AnHWdfOm3LPfyc42me Y78yIey+U3jnTWV7Os1QDSptKtDvbtiJqmzlIsDtKPUDPH/XD5iOEKdB0/k2bbYrmUBi2xoC/ugE QCMdikJl4kzPhDKHfgoRL6VOjA440APP58tsy/JoPee6l2/wiKMLKUx+Q5rleYr2Ts6+kwQmWZwt s6YhZZ+CWQJg7XiEUyqR8DQkwrFJgMYRzckVJlEQmqaCPyUSsfHigGWBcJhLb0VnJKKxaYgWVzaW sT8GDbiyYwGptyTmvD6mqMItIfuu7tuIj0LmZ9JzCTSMTGAW5SZbFq2gkUTANpLplkCDoeNlApOW AI4F13UhQ3q6OpYchcnjwxMFM5gSM6+3MMCXId1kSkhSboq6KmHZhQIb/x3WtY+BxfmeVERBlsyo HU6Ji470FANjO7LFCnxDuK5sOjwNrHMMLFd1Z2O84owdSuWcJJMCC1OxgolvuWLFJnBb0bd6kap2 I9QRcI8hAIswWa5rqhoOe0pU2BeyTClosKu4U8KWVZmer5YbT8J0HF3V8o4BhakN8Ako+fQmxazJ AKQ7JWRNYNyVtg4HcIypDCJnUgLrctfyw0qGNC9q2WhGse5F+6MTcCUCiT0lAUoaCgLyKSypVHqZ 7pTAwoWmVDfd2w6OgfyZ4UwWTfmkqAwdjoAMU3Ri79BuyA8Q3bA/hRk+eMk468AX86S0WtcLqdon bsg9GaPReQ4HYp9yv9vbO53OwVUkOWkSncUJp6ABB+AAYiaJcVqAPzynMi9/ZF4vC/r9bVV2L4tR WWFXZk4usk1R1RJ+FGnwowPxUanlPT/od9DRDZqCRrWEH4dm8ItyURPcpbgU/Syx11v5cqPQMUMI nKJoqjgd2WB5gYZEfCCJj1lZNNseC04CJwZScChU6wYk0uGDVmynY4aKuIym7UfGDRv7Txk5uU+a uNHIjD6xSrm4yIpSkOKEmvYsDAdgkf0hU5uufpiHTiGWvJBjsF60h1hhupoCtpUsGtGlkG196CTH 8xDi+dZL/r+HzBctoKWnzFWtTKwG8ZTY4gpM6yqwmix79kiw6RlRh0NOaBsFh09SIeCYJUCLy5XS kfUSHQdnLA7nhRgtKTbJM0VgWcxhX7XyDlwT8GiiBhoHLwyNwWNsH9niuLovwB0DnUvBDc1dupFr ggABJf+F+vF5BqFT0PZbK1Xfi3TWzxuDAl+FAw49WKUEkaiwp6DUBOcGqMAmxCEurkEuYo/2vnLR Wid/Ci77CsY3QQaBUxE/Q5mpdY0QqLJc4Cv5D0zAY+1UWwldyQfjIQ/0EwKD6GIeV2EQGmSAnYSr /WOtr88LRySBordqYx0YJDDcYsQmGPxh7ryW3LahAPpF0bCXxyR2Mp4kk51syiOHIiEtIrYQpFfr rw8vABVeUYYlAeS+eNXG5xBEIdqFGABFZS+Yh8xIB4uD0J1XXXaoAy42fsoJDCQQzy6QiIn2sUdo KTwiUx6XtVJoz+9yKeHML8Hrp4kOvLvE3TmTSRyko7pBWvr013VcVIOEy+qwfp3TFjlFSzk1KR8S +IJ8FPWMp2VEQDxn4sYtnBF9UZA9150DLxvVhB9vPvmo54c60gEC2PJNSqsPp5enBTXNbjuCxtZQ jT3/8unp6SrVfohaplQOSDLFyOfNVPL84ZdVDf9+3HewMeY0DIzH5pM1rdL27XKHjB1YrlkTEXdO DgFRwpIXkuakxRaOwsL5BosNXdd118B2dLjo1c9w/TT7+NOnkw/8Ihl+Ob4Zj8O39XGke0iJn+vj aPg4ObY1DMqIYSHdCvym8yXMA2Ilxr+HNx9IM17iJWdaD7+EETqSj2+Hsk5wv1FnQ3iMJCZ0fhLv pApki54NMkmWViBWET5ek8LesON0SpMyBqFp0XILfwbBdZk2I6wXhzNgs6LvOtKKQszTZk14julQ GgQzyLwMmaTlUXeSTdkxVHmqsomnwUAkw4ZBdsV8bwY+BA1LeFE+KzzIw5/BAxYeQTARXmbuKDJW OIMkuMGIP+sgZuBNNZyvAf+avhVpNeD7hq+koJXIPqjghI+r8LE60UFb8bXi3/PXQGHns8J4EwEX iAMNAnRdk9WvdP37R8GDcGnJS9rCHq9d0rWEDB/1VYdqdlWRCe5FcyKP4JcWiOkbZe7TrmsRMdBB zMQzI+vLAZyRiqF1gIcYV8efobusymahWuKwjHX1N9/q/Jt8KxSG563k8IOEVF1LL7YkWIYVeOlS SdgaJEiXJjQnKwgI8OmDzAPyU95Iypm+rKF10rT1vwRNO8WRN4tGVpcNLYbXYLFt0xJZqJrM6GGL lzRPjuGeTx/LOhHpOI/r1KSg69X5kq0VEH4o6vVT2kJkXiG4Hj6AfYc5Rbcm8mPZCZtDA25Q2hKu wZ3YWCawVDKxSZlE7kdGUrY2qeEH3OVjsTl0UaEWO23/xC3248hC1J4c+2MNSyH2wx/ok56vFIK6 9Ra+b93D/8Rk9MJ8VuwzXwGy2FU/DzmuILIVG28bkD+7TcLWJMH4R4YdICwxF/iDpMUTvJEP9nUz K7Cq23JWYPPydluSOt8K5J0xUaXVNSxvgZEGWc3z1Rf/9WlBu7fZ6RuI5TQ7VZalm7iuBi4EqzIN /ZUe17lSnokZaWZmQq/SGLXvaCGoTzJ47U88IMAQqvCZHyshMxb/8CYF73aFP1ta/i2GGAS26suE 7DPC19TOTue5en6qeGPyulnW0qYb7z/4QDeba3sQ8uG7cwsn9r++IcP31RoybtVKXvzvsLH7+GSY 46mK6NCZM4asL5G2YWTblIjoaCDutnwC5nfyJF791dHzOSk4Ey6BJhP11yMFOngcDSc6jKiOZZmn 8kp0+NHE1PnAnI+P0c4M6Lre9Q3AEdtVsENtbDH7jPCeeTzfGwNHZ2G2b54tTvJ4S+Tvctoih0CD Q8tgaiIjh619T+2ZAeVR7Q9b6g7HiSX5qPjFrir3R3o9WtIUaXapYZnWaNqEfw1sshZ7D3PSjC28 JSxodeERzuhBm92V1FDVELEJi4nUCGb0aJvySmo4S1hMpIai8gqsRz2YDN46CB18eBA8vLvQjh83 EU0DXzrzx/GlmElibXYmdfphkh6+hsYc79HlWzvcdyOWvML2l7TNkaGnMLTnMCR7yjq40bTCQTOk pv9ONXl3BCJupCVDysF7UD60cvAGnC+a/zB8D5rCbKoIRZbCz5nFr19f87Pfmx9sec6BNPZ03oEn m6wko/djJhMSCaqaF/dOwa95gdTlXuHQXVAFli7ixLFDb0kjOWGGlFSNhWdMCQYmxa4ZhpyCpZwu S5ytrPN9YzJ88SuyiZayIfuOLw1CPvFSPrSCIbG+QrdL2QQGRoVgoAwJ2YsKdXVO2wktZRMXmtOa 2C8YuUvpwD5e5OIt5cL3eCAZVf0cGZOpWSfX4yClYCklsc8QZ51wKR0xG4NsVBV0bMymzabKebyY z+XToR1bS9l09aWMomYOLVMyeHhB+jiz+oj4PkjBVSjYBhSSrEx3eJQqWkLkYrdo7Ck0HEMaCZx9 hRYHhwu5vPRrZKK6OXq7MSMTiAqzTosCGcVLGE2FR1IWYr19l6uhLzxLg0dfZWW++qOvfixzPC9a 1RAqua9ytKckMMytd+kbQqoKhv8Ast4iWGQUlrCmoB1CxuaQVZ2wF4KKU2yrMk9wP1EcbYh4tmne VLraqqIa3k9tCeuLLkkPRzYismuczBchTZA942S+lBFRfQU1eph6WS3YgTnoVJkJDeK6nOIbGSlw 8YO4BELX1hclNTaHnQQ6lnHgVN2gCm8WWWqsPNgSuPCXg0+7uWWUu3OsY1nhTNjkJc9puUX0yDhd jkEjriqxbV1cGMX0ENyZDU5Zjdiugu1oY7OCtg2ix/PSk/+y+tWZ3QE+46/GZNtSkN2HyeI5HW/l 5ZftzQpPPucUCQQKAU+zQJnvkIFv3mD4Z8PQbbe1YHlcd/h+9SSHSQUXjlPki3Dkp+fw71Ro/yG0 RB4um0fmx9ne9j1LswTfk8dXCZ52hhH+fmI2zYvj+fAs36E+seoGBHfA+Xb+E1tk97zaoPXhrlh3 bx49NWQfeN7jV374bvVxzyduCx4/4NQzl0tGSY6uXFXOw29A020Fa+9/rbMdyZ+Hd6NIF/zThB0/ RvGiLX0Cz/Iv58oP5TneCOsGjmGsOELocArnGB6p4JEaLv5/cQjJ8zO8Pqtf0x6Ohf7MJWSQeLRl z7AAD04t6fyACxHMCuIbiEXcqOZxw2Ahoys6oUInNqxzLaVi42YtETEPsJCU5UeHynCqMgb4uGiF /nsQFGbopiqKXWyZNRslGlJzDatJBddJAi9haQkBHdgLWhxmKSRsPRJpUUC1yDUY3eKaOVrGIin7 oqMFXaO22Z9HR5zBU6ZVuuVn4cjp66SHzexTHfM49N6DWYOOMouVWdmZScsZa0XvRMsda8UKLVeT Vkt4gIiJhpj3ilB15C9vBfHGxkkVLCP1lXRSFkHPsNJlIvnzGIm2rGDrwQcy9rUmxZ5Jp66b6fbE i1UF39ejAPSur8i1Zi1+XKOj1aamxepP8ffMAbZDMnjmT+pGRmdlqKOnyqrBI3yyb1I01+wHsUni lnSf0xYRI/PEZL3mixJJ9XkMVz49hY/AC3pcWcAQ1zPJ5QfwSjDi2nNxeVS+ySymfKKPtDnQinY0 LU4lDZm4Jk0Yz3o0XRdE9BwRPDAJP5Jl2IpbBhLi+BHya0rlAefoev3Hqa80W/1Ds1NMXh6SdcQJ fCMc9oID5nmK0J22Zd0KquuOH3bcQjzXDd2iAShfN4/3eyFG9ibN0ICAYztGaHxAlceXQzhbgbPv wclx+6lcEpjkXeYWP/A0AyFeYEsYS9ZfaOOMUzNQZRXnXth2gCGWZ4q1/4JIgW4SX3P4Qgp0SVas ALk3gnKy7rdTuTAyAprIfkqSdzOJx6Y8rAXLKX6sczQDyZ7HaryM1hMEtkHU1InggfLi/JuJDcwt lmsZ633cXGuGbeiez+18GWHsyAuNgUQqIpwqSwa34ljC48YhTKwZs226qVDifqiZM1EvqVIsvAMx tWnB910TpB3NdqxL2w61/aEJWEEZrgM9ExyIJ/SZkld0Tb6CFd3DkgdCIlSgGSWe0eQBKmL/5RpP QfuWESjuoLvKOim+hwPdIwZt1kSbHPhmiVONc6wbyWqBRYkZaOYcCrTsdrcojygaLtu6EVfQQ3Iy lIC+CRKr+zYjstBhYmCASHJ5dby0I2CoANp3AC8wjm1pxpQ7sqE5ZTt0iq1+zoaJk57rBh9O4zgK mHMjrKqhl1LioS3H9jSDYAkeWnpjAgHHYKGyqzvJALOPAqgCSdZdZggvUgDdG4Ft+gpDkLL4oqtz jcL4xSKip5vIRxqujd4EsQLn3Yejlbh/coAVUyPN1P9XnILaFkHrYhpS27rsTOiFbJB7XLC0DswJ 2WlKoZ1Yx46MqW0pZJQclGTRkqkptW0Cn5sNXjWLmelNzQjVAqT2mUrzoHebgPqdpUnYC2ljKluK 7SIwU1MjKtsC5MQnF6BFlxlNLAHVo6SMQBiak2EN4o5CtJYBLSzLKUYLOHOaWEKXgCvKRfMLoVLX gixLMP1CbWuKgKUrfLQ3vwitLjGn3DrkwkcvGMIBs0EaQG2e+GK4IKxjgfuWRRMTQoWjJWVOgjoB 5DDweYmoBYqRBbm2B4f6+joGRVqRpA9NUEMT5A3gHKaxkZkC5KaazDzwjV7GeiYWhsWUmK0LXsYP Mj+1sBTYvEiBWgBaugPkaICqyILUFFsTTS4AUEsDBBQAAgAIAM+DlEzsXumxnAIAAPYJAAAvAAAA QnVnMTI2OTkvb2Utc2VsZnRlc3QtcmVzdWx0cy0yMDE4MDQyMTAwMTUxNi5sb2fFVd1u2jAUvh5P cYRULaAkJmlgEKkXdKNTpbaTgGqqpilyEodaBDu1nbXs6WenqEMrnkrHtlwk/jnfj33sk7AXDL1e 5IUB9Hpx0I/DvjuMjsEDTjxJykIRqXTv83h6dX71UbdWROGfMyVeEwGMKyh4zXKgDE5PL8Y3k+nM BZznlC2AqtYzmajnBsPnMudXZ5/0Z9wAN+QlTQUWlMh4X5o36JavCMIpWvNMce+eiyURiNHFrSrX 3hYGpTUtc2TWhrSeRSg6qJD3GJvK6t9JPo3ZFYc2xWnNmMlKSlWKlwS8agdD5EZh38ZgegkW2W1i 3CY5FQlmeUIeKi5UInktMgJOY5dXinIm/bGOpt+ImGto51e9Qdwbucejnk0PfN+Hs/H5hQUY2oAn B3ksqtbjapzGf2uTrKreQZ59VecCZyTF2RKcFdcTgmSEKchwWUKJ9TLiFsAZLQm0X3uJESd3GGVc EJQT/cGKC5QklFGVJH61brtQUkbgOHRN2boXuKpInhRaGLQfVQsGRc0yp4vFQrrQ7S7vTatzIGdP kxmWRKLtjG65CwYDY+9Fx6Jxbmh9LCURai5q4jgLf1Hy1JEiSwptOzG9DmgwbGYUFlszHRfa73ld 5uytgoLqMF9DfVGtGoyvo/3FdzAACTXLiYAjiXTejLkueshqIbnotuEIclKVfN141RSd1ti4Mguc CMFFDF++ApXNz0NppxDDnrp77v/mrVYVenSGHrdth/uW5TxH/+UWWVWnmEEAzRhlEEb+aDCUdhJ7 2Zl82BcFToFpWQsiTwJbzelbfU9m1xfzWfxKnG5Z65//ovrpgYk1Fw9G4SD+/R4MbHZm15eX4+lN vC9ue9Dp7Mzju0D+Aesmq4aZ3NVUkLwhl2ByRvLWD1BLAwQUAAIACADHg5RMOrzH/+oCAACuCgAA LwAAAEJ1ZzEyNjk5L29lLXNlbGZ0ZXN0LXJlc3VsdHMtMjAxODA0MjEwMDE3MjQubG9nxVRtb9ow EP48fsUJqWqoyBsvLUTqB1poh0RfBFRTpUmRSQ6wCHZqO+vYr58DUVtWrIoObfkQO7577nnuLr6a 57dsr2HXfPC8wD8L6rVqzWuDDRxticlUoVT661tneNu/vda7JSryaknICgUwrmDKMxYDZXBxMeg8 9oajKpA4pmwGVJXe0TSaVe/sPU3/9upOL501sAie0IkggqIM9g3zxZ3zJbpk4q54pLj9zMUChcvo bK6Slf0G404ymsRunpur+XYTtbyDEtkb34lM/x3ly5mZsW5iHGaM5V2ZUDUhCwQ73RGhXfXPGqYI +Ve4VjOnUnGxCmM6nYLFUUaCpko6F2+MXW0ba4Ss/MnTynnqTWPfwXEcuOr0B7uBp74JeH6Qx8Ba M7HmSoMDF8fMZh/k2Zd1LEiEExItwFpybRAYIVMQkSSBhEhVCUoAVzRBKH/20rocn4gbcYFujHoh igs3DCmjKgyddFWuQkIZgp5wQBk8C5KmGIdTTQwgUGWCwTRjkXVCxExW4eRk8ZzvKgdS9mKMiETp vvb1VZpfz6UZfoVCp8wSBecgMna5jK3yWzc7dwM7hSNZhiOYoY4yCX8QYR1fPPQH3a/90fhu+Bh2 +8PjyqHSyhRNpC77cklYvJVM28+zKZRu1BMqETpSolCUs54QXFjlyw0Wjo/kcdEIjIFxZv9CwQF/ UgVSEZVJOIqD72yTnVVQVouaOBuXqvaPQp6pNFM6x22uAF64dtZtz0oUb7VMt7uV3w2vUfM9zz9r 1j/KyQ9K9wkSiUCZVPmFuKbqfqXmnIGVrte6PaOqAp5TdxrABSREodDueh/rjeKQabjS/LD5qUqG +1n/L1PByDokDHxYn1EGp57jt1rSHMQ8PnvdfVFgTQlNMoHy3DfN0IZRd2/0MBiPgk/i9O6Dqe7s HgEamJvzAQK1djMoct9Xxujh5qYzfDTJbxpwW4dWZWf/2r78i6hFN/PI+JRRgfE6uIS8VxiXfgNQ SwMEFAACAAgAvIOUTCnOeyxDGQAA9XkAAC8AAABCdWcxMjY5OS9vZS1zZWxmdGVzdC1yZXN1bHRz LTIwMTgwNDIxMDAyMzIzLmxvZ+wbaXPrNPAz/RU7BaYF4sR2jiZh8qFAgQ6lQNMHwwCTUWwlMXUs I8ltw/Dj2ZXlWLlKgXKT915iS3trtbs6XugHfc/veGEAvj8M28N20Oh2euCB4J7i6UxzpfHtq/Ob 68vrj/BpyTWre1K24hIyoWEmiiyGJIP33rs6//riZtwAFsdJNodEH+2w6XQb/mCww+by+sPP8Ofc IFriaTKVTCZcDfeSCXz/EJnXWgux5C02ba1EpIX3IOQdl60smS90uvIcnNa0SNK4Rbq1kN8BRsGL MvJK2KnK/zyWVdsTHLuHON4UWUajMk30lN1x8PI9FAYN/+ygzPQ2oa9kyeZ8EmczOJVFhq/cNDdv 8euS+t7aJn02DPqNs/DsEGloNpvw4fnl1QHEg642epHPfq7tg55Jkg5/vz0OM/Be5HOA68EBvpUs 4lMW3cHpUmCH5BHPNEQsTSFlSr81PAL4MEk5HP/WqdkS/AfWioTkrZjjD9NCtiaTJEv0ZNLMV8cN SJOMQztsUDB6kCzPeTyZIWNAeXQhM5gVWXT6NpNz1YC33757oKe3XkiydWfEFFctdzgd6YJem8Tb 9QAjZzXFTk+8CNa9QEp75tGbFWnqRcuYiJ28lOiFTlKFpl0uWRYrR9owMNJWYrmmRP3eX8anKApC zDOUcKI00wValvQWhW4AfuWFnqRiPqofyfIi14nIXsz0B+UPBgHJb4UtxWeJ4nCuFJckw4WUQp4e v1/iwsmb6sRqyGPIROb9yKUA/phoKNWDN+Pht9mb6hjehFPLsoEoqkh101oA4aNJqfFbbx1t8hrC mlcVT+E5g/1LYgXDoyvBTPaMWLTgGBZjkfGmaUWkoO37wDNN+RRmUiwh5jnPYp5FK4txdP3Z7cUQ brgS6T0RYtkKlolS9KyZuoMfCl7wGhFJHR29RwOCSmWzZF5IRooOj957b/IlVgKXn11D/RnBcdBs nzX946P3Xl1efTAZfz2Gzf7Hfm/S63iocPF4fHR9fnv55cXV+L3x7Q3VIBVUkSX3XCqWep1m//jo 9vzmo4tboraXWC7uVhXFT8/f//jy+gJgi+8PfFkguNfrHB99cInsPoMdGKJT9Tra2d6w2XlHZSxX C6E9ip5+J/RRtlfXF5MPL85vX91cjB1iy17HjHS4Fv/Dz19t8js+Ii+H7Y9pNUpttbqFRd3q5H6X PVOay+GsM+C8F3TCMOr3zrpBL56G3dDvdvhg0I5n4WB2hq3t3vHR0SXG2YSlydoZlPWwym0uHnlU aOodcz3G8M/hlsC2u6mc+IL8yO22NYZ1s+7ZAMTM/Jz+psggeZTkXHn8UZOnxi0zn1TrwNxqTqfD WNTh+C0rlCFzcEZ6QdP3pD8sZXbxhzDWTGoeH+Ggv7q6HQ+rB/AAQ33zg2z2HlNJRGm+SWiUACYL nuYIQI2UQyA4a3eH8Pn5eHzxgUMgRzs1P8evGpuaXMxBr7MHUalFczz+uEbDBhcrDPdhkWQ2mZHc YzL3mgJOw2S2muSY+SmNzTiPlUvSC4am5EGK41effnp+8/Xw6IA54fQtqjVZBh0g2ooCd7vZDtrq EIqtpwiN/1AkkscWc8aSFK1/cXPz2c3wF8Zva+QOsrJ64APGSix09IKXI58KipQxNZCJ6f03cf4Q ixOKnlb64UZ3RfFKzGfYC2JmwAqJPLUgzZNsCL9ysthvvcxbBNqiKLgTNA9NmlapREtzREedm664 zTD0/bMjlBZiphnMRJqKB1zI/QQfXLz36iM3HuQrvSCtK/XLSTspJ99ErZQUQiNiOSc/SLBDb+Qg YJLDNyf3idQFS4cZ05gehi8TOKI8EeZrEjaD0AaKXORFyvRauJMGvCj3mN9rIVJlBsR8EfegGfzZ /CPJkY3kufCijZfJPNFPCPMy3NfaexQZufRK3SboeId4f7f2k8tMaZamZmJoARZgCN/UIOO7JDeR kylgKWoXr6iksqGnxjih8bfMSTsSyXl17eI0O4I7rQLdVqnUaZH50nl7/NF5oZnuMlqyO/c9v5tH puxy2vhjzrTzjkn1e+ZKhfZ2+9UPaaJ522kpp6PbgnX24zINnZY5Nnlh03eFK6Sr1Y8I4byyVDHP NLlUaZg3W1TsNrBCi22dk0csnrdgyAqudFnh7Rgm1pELwrXGOe4tkwzjlcsTm5NsJry4WC5XTjvJ UQadjaFf5Vqgw5ah0mU3LZTzOv0xyV0DovubRYurmcj1BgF3FJXatBOT0QLfXDfi4YaC8XS50cso aLsIxH9H7Lm+82IRbTLL0cM3W2azZMs/0JhbLUGw1SAposrtRsyccotdNt8Wc8kiKZQ7Gh13mqTc 1WGaKJG5UyqXQot9LrNrxUzlG9L86OLxcIbdYq5cBPR7xd0WMkXF0dU0mrpAGhV3sZIsL3bQ7qbb LaUNd1rJiDtaar1tWL0gP/CULqZqSzrmRjSSdZ8K8TLKq6bv6lT++XMSOMxwqqkFj59TArilhA3X LvjJX1HnlOp4Vh1rhlahZGuaZE5ynETgeUUe4yt4P/wlJRlSXZvPI5lamSBfP6HN0v/t+QL2JIQQ ifxv0ZeyqCXj2NRGiVeKDHp3v4SZkLSTR5B19/tGrRjSRGmeEagS0R3XBppAQXGZsBQw4itBK6ds CEGIu1D4Jxh2cI199nLUBp1uv6aWMgxoC1R9ZMWGaocIwGiUiblk+SKJoN6A+h3jEfM8Fatqs6Mm eWg0vBqkiUG7AzrKS/1GRhOYCqFzJtlSjY6txiOtVwE4L2O/EQTd0PezPuQyyfRdk/YKRsGxUapC 90rCxGK4ZX7w8iQ2q1r7OzGrx+PakGvzldsqDQKERAHC9bs12ANLzOxjGswpRBD6oDjKGqt6AAn1 1O+0wqAV9O3hhu+/VVNxOdFCAF3Wb/vBWdA/C4J+t+2310Q9S1KKKOKqlirwg10ewTYPOwpQKB7j yvj3TkR373R32WSnXvB0lDB41Kf50isJAi3IkogDrTBpHcS1l0dJA3+xY4Q/fgPrs1E3HHY7aEkc 3WEbH0LwShDQLG8kcQmZzDKGzoFNfkNFMsn1KBONWDxk6zdkKFEkIE8Y/XWTAUUdlSo30HeWTI8k ewDvfs7gfvnAJAcPZ/KDRwWgkOAVaro2FT57mk1TrretJ7M5WQ+8eur/+pkBXpQX5fZxXKC9eEa8 PIoo3hLCbu8QTTOpvXUQ8tCWGU//iIgz/fHSWBh36INOM+y8M0+0/0531ovavB22exMeRwN/1umy M8wHju3t3nnQDvDQt9NvolOCx3JaeAE57Ah53rfuYwbyARYoouRqJGYz2IxJsOTLEVriU0jyUTAI m0Gv3zxrhsNh/RIMw263Wf3zAYd25ENxzxWbTZtLEfNJeVA16nX8x07f99ohiFwKGgkT5OQoWMPT XuDEHn2NvAB+dbyso8Mtk3Ou4fLzITii1/1jLu+53Op38M3us7lHIeZz+i0L/10A2wH8nmcaoUXu pEKRZbwsxyXHgx97qosz0yXEtaET1cBckedTqW/p1tCfmSMxc/pUhXSKe/axPk1G1ki1IMIPiV6g lNzuIFKTyShcc6kIeQ++LRlyFNeeSvGYghDYqUjBZx/a5Qw5JQrwbyY0JFm5B9gALYpoAeTwZXxE Al6KdYFqEammwn0khAHaIlhTNY2mex+ra65plkG0cWwGz3PUfQTt+cn/OeQ/lEN+ZxL5r2aRk393 Gjkpg+IXF5++gvLUAJYiSzT5F+hVzuGE5vQJVcTYIzkkmXFOEhERT8mKTqn61XZR3fU3qmpKMnRF hGEGkE9WvW5KMTmg9qluu9fza8AbThcS4k3S+NRvdnvdfqfjd/uDgd85G1SC7PIdOHyvMA0iNaZA ChPYN1dx9RZTfZh6unHK+tZuxityYNCuLHGq3gI7aK4WS3GPfMeXH51f3XwKC5bFKZcVt/Lqmrhz uNsz2dP6pNZl/Y0N8t+9AQTlpaU6noBXqM8nGQbAj4XSiq7UlP6dYWyi/rGWSaSp8xO+ep+OL5GM CZOCjHOFeTodmRNGNwUBf8yF1HgkfPvxyER3hfNoaL/pnR7o610oKCSDx2ppyRxDQBfthJ2g1w6b g7Oz3iDsNwAn4UbnADuxwz/z286mIlUoLLXHh+QtaBBzoQzHk9KTu2S24cHef1AaDc1kDK8HMP70 c/j85uLi089vYcw0nOcSgg74IU7gIc7Dd/w+UKwAm6g2fz66ftUyzFCug5q1kXkQ9Hpn+zSznWHo DKO9AFRf6DnxT4BhaJTgN8Og8mlnh9ViDB0z22JqCH+1Nf7OXhmhji2uo1Z538UkmKfGsXvW7w56 h8axjbnkeR5KjIc7nIdwLUBRKVke4UuIzWG2kKun/Svs44WOve5l+8Lek+4V1O4VdJ9wr732clzt N6l1ONq5115Ot6/FuGnDugYkM8pCKUfeIDJzCQLRgEr26rR3P9bJ5afnH11MPv/ko9uvP784gXuW FtzW+eYE9gS0sCU78t5PxF5y8dBU+LPkmS45g70SVt3yIgsYfuuWf8ZkIVN6pt5/whXb/qAfDHZ9 sR2QLw66Ya/dfd4UKRT5juH6jb0P+h28/xleErr+oPSbq0RpGuNPWZJVPlqt+egMT5r8Clsf24o8 AG3NeczjaugU6AXT8MAluWmCtQVCrWrnAaY2Lzf+ZO/67PnYHiqAcimwcF6SLyADXnGLpxW+3Ww/ hM/uWZJS7V1hQpHPJYtLAdDdM4NwQNHIlErGxAhOpTSZbfdD1qwYnGzqCRQuHsg0laFIp/sk5qTP ksgishSeWmXRFllqWkiRJT/y2pCOwYUxScpoXjma0v1NGnKijU5v1N0R+YN1D6soIvxciiLfZxCS Mk/ZqkEzsFC8QaxLcLVV5JqY8xQNYAYGF3elo8KSK/ol3ERRbHsuf3PSy0zVW6EiERLnaQFirtFY CthUFLo2ANK2FhDrkERWtLbfpbfucUnUA4RSrUQhoVyvI6ED7gNAPfsEUVuS0DaIccodAnOecck0 eRUZVDMTFwyswZN3ByMPLqzC8Kzf3hN4bN9Z/3lxx36ImxmnjJ72uS5TTut0RSMqaTPHTg21a6BZ sjWPaljjick9z0zuIXUlPzBkdY/r9na6Hw4EB8aXtN8aYTpvo7E87HskrbN3psRM026FwVS0lEy4 soRwZ3DPXFCcSSoIXElw8kULc5bHVw9CYqqu6a28CqzSqcjA3q43PqqFcXg0Sk0wyaxJazJI07IG OCSUxa8mGAnpDI/SEmUkOgu+PTaObCwz+4OSJjba/oPrD0sEQnxgOTwXkdLfUsQkxHocs7hyPFPl qJxHSLbMIRQ3Doas+D5RNDY2aLiT0maUXZmqnueGBwte3ZzaJdSAaaERDxPrScYfuNInFbnSBXCG JKZYfCRBq+xZpmY2m/FIqy2eVIKaCgH5MTkvqPYyhQDtYcE3paea6vO7Bniefd9oR+BDHwcMUhE9 GYLa3U6/dyAGUWfnmUHI5iFS4AcSGa/lcXc+lu8i59KBvCdITJxToeqBtO/bsJ5NsOB+aK/RuKrt JFcz/4nE4livMyXpNznTi+9o0ui1N1KHBc1ELCK15YcCMlFDI4AZKSOVWuPlaTFHkE3/NTUBIZne CtpuSZZtKJH5fWooS/iKCAVtWi9bYpbN86kRwmFyktNChKMp4ebi6uJ8fIH/J+QJagIhpS2pyiRA Ae0Nh0ySVb5YLt9ycZiccdfKTIprkWsYX9x+9vntuAp2GpicJloyudqmCyJ3B4UWPt5UijueOUlF iZQCFM/NQzVPjRmUvTnrRBgitGjYBUT1S/viB3Ww/mijPBC8lYfRUQ+XTBEL+zFtUDWK2YFi04p9 mKlb+Fqxf27v2nubhoH4/3wKi38YKMu6ra9NQmIMEJPKQ2NCggmhNHFHUJtUcTpWHt+d352dxKFN SFkFQkolWGv7Hn7dnX22b0zsjmVZIaaJVoOUvmKhF/Yr2KimZdt+ytXETokYmzwkIi3FgJkSJhJJ JCqM7GPbqFYgdQ+761djJrN31EwgSQfzNbqXGjXDhM1IPxeXEPaLVCqWrqhSEM/oqEWRXtMEM+8m nC1meTczIHg1yANxGcjxAq5KWsAyAf7NP0t5dUSoGHs6zZVDDcEABh+PiqQAWMzmylgAGEHmwpu5 xqf4yHh5hmGkBgssrXxayFijt0h0AMWTi7+xsbxnLA5Td4NMCl6mjyAvRlRfSdcCmWEro6ayXH5d ReMx6iHByopEVGRnYNGXl+AjK1Ip4yQOfTZAjAavE2JJbm343twbh1M4B8y62l77WpSAuAYh2TOO WVlEQWFRZkJ2PtMKLkyXpdHAknjzIcHVBFKNfknN7ykFNbXMW00fOk9Dn/cGMH8hiQSyGRRpAvwp S3oaBFHM0HVIorgSh+4mFs2X9P+HQmetz7BSHPMzDHRCAwX5eaFStivDSeiXrHoxJnYFcBGn4moa jx3gq5VBvc5wv1shg5A5aLppWv4gMYL0zdjELJ1hbobzqWQeTMvdiEsz5Lgd5I0/XQRybSKuS6g8 o7aRDBJTNFf8aBJukHLfmNLK6g07h+mazCbGhgVkdTW1FBlkGo9DX+uQQVfJKU8oBkpjfpFDW9DW askxbVyNqbL13dyes3fiylXhVBCMJyWlayz9RNKEmMbRlawREHw4Lqd1Nb+yNuRsWsgRCvfQvXQB xL7ZHzWAfjyNE+wtjl6d21Z/msRTLEYk5FYidJlQ2QQTOYFGKK8llUyLrQtP0QYrXzwcS8xt1Nmc wwBOI/YNsq6FY8XISmMc5rnuUi8hSUnF6ycN2P89YH8tIBSfSoMwwdR7c/Hk7JxHJnbUprEXWMl1 nS/TYi+faPnxfGmbWwRrYbUsGsHfs4wcJu+QGa0MeLv36csLBgBTEDgmB7ht48mAQaJPwnpRNOhX WkPIO2woiW7K7XAWaYHA9G/Q+NAlXpSvr1nhG8OpEOjw9vrsJVhBY+U1woVVtMldZanIa4RKSX+R QJeuq12W1wiR2WtYipMnb8/evDp/5xSJmON5cs3oAt2ymDWb9Wx63VhbMhktp97YLjM4/qoE+vn9 2Wh0sjHFx+83ouVfA9fpW7h+Nq8dwW1EDN2Ef9eSu+rbKf6QleGczcjRg15zXsQB77I6o/jLD0dD NAeo4aN+oJT3+FC/GkwZO2sGFqSor63mk/PT57r4M0ojlCSceRswElQkTKVP8v43BgreEej1ehVi gTI7g2be+X130K9xn1oeNMtp2jq6WkdX6+hqHV1lR1e5fOuUap1SrVOqdUpVOqVaf1HrL2r9Ra2/ qIm/qHXltK6c1pXTunIqXDnZp3W3tO6W1t3Sult+425pXSGtK6R1hfxnrpCKG1eVL/buVDzyW3H5 1J9v+cYSbRQ8sq9X8x2z5WLmsvZ0A3owivRbij9I4WR+kIEfgDdZXJfdTieedT4Ox5TL5Yo6PFl1 9Ta+ltnJHT9/qU0a1m7jtttem+wXzrD/6Ibb9bLYuK/xGnaP9nGxcrjea9gd9IaDRkcJ7O2zY3EA jnuAY+JQ9bhMee0le/xzD9wh64VH1dYlaN1arFYKOwjJ2iQs9+yx+GRZSLxCDwEGo95YVjIgoFMv iuK0MBbufUrT+fHenv2iwWG3e3Rw73ilLJGZBS6eg12fR+zt2YVOiO+QlrlKuyPRyZqNZ3q9nsa2 Zy2rd5wwOnGvXMN7jrFA6XI+NVbJtSL4iTuNvbJn+26n0z3qH6w7sGYye4Nu0ynQO6zxB6+ON8st 3A6MfzYwWBtagYNMyrYiAhl0jPtPlS5j2FYsH4OuQZAeFN1ORJbNw/Qw6fpAPRZ3t46Bpdk0rW9C 9lj9YTHa5RAy1f1oGCfkrsehXi6ShdxJpMsW4E5y131QM6Tv5mFycinhCAA/eXVxMhrdpyXyyzhC 2kxdUeQOMGk5nidrEes5zzFqdn5Ffp+a8deQNM+8qcrvw6dgXxyLpoRaFfevJdnuVj4ZunUhODrK 5GbRPAopumPCUKiH+/YrOXAwzWtfoEMBfh5u3atyF9JLAMTtXo0B6hvp9LrOxdPzF2hl63HYLO4K vt468gpQ/GnsFYBuHn2F4bYff+W7yCKw4OvmMVgA9IdRWL5rX8i2QqsUVnfNo+HmtXGLen14lVsH /HlmR5zhyEb/KHSRqR4/nMi+etQmkPQGDNdR86bEmwVs1GQJ6ZVSABeIFA63lHJmPNHHIZA0hDQK yJkYSZZkWtRiPHK/7Btqbob7k9Q+rewAC1QK1014dqCaWzwVhxGwxxRYWCap/vFR//iYxd3Cg0v9 3qGb3qR33sUL3nZXksZRzh9v0gsNpoTSD2qOl9mGMsIVMsSuTesvsi0udzOuPhRty7voEJncQ6iL kjQjVK4Dsdw3bxbPF1AgvggndGiFt4pQnA7gXOf75MXTmoGcePA2GHqueM0nDISMFOQ6ISgOAS1F GIAByBySevpI6BzqLsVYsk8e0j5/RJkYWvluPbcoq7U7+fDb5yFnhhG1+r+YNAU7aOREai1+oAVH dh5SsZM4coyFStX37Eh8ZqK5d3a38qkIwNmvjNHqRWhLTkP3H3SOXDyopzbEYuTwhlBlG6ACeFAB nGvqP4TDt/WBU93VCJslDT8cHh7X13dYQTrXoxvC2YlQtBWdNlC3QPs7VfwTUEsDBBQAAgAIAOGD lEzF8DBf+wAAAKIEAAATAAAAQnVnMTI2OTkvcHJzZXJ2LmxvZ82SQWrDMBBF9znFHEC2NbIk21qW dJFNYxJfwGkmsahjubLakNvX0DaL4hLIJkYgkObzeTxGcMwjLiOUwLURqZEpU1LBNtQ+0B7KzZb8 J3k429DA8ulgWzKQNO5ESb1LLu41uOjs/Bv5pLPHJrSXyFE0UHsINIRk92Hb/c/d+2Hsiof31gZK GaxKAyiymI8HGZTrTWVAZppn42O1NCA0Sly8rKtnMx8gsZh0pvi8ESVDXUBF/mS7OtjueMWM4/jb 8fXHwBBc34+hcTbZlXJxK61BcIOFUZzlIn+cHMW11r9yVJGnj16ov0Bywhky1Dh3xIzn9yzUdBfK f9JfUEsBAhQACgAAAAAA44OUTAAAAAAAAAAAAAAAAAkAJAAAAAAAAAAQAAAAAAAAAEJ1ZzEyNjk5 LwoAIAAAAAAAAQAYAMCdU+yB2NMBwJ1T7IHY0wFw6nCvgdjTAVBLAQIUABQAAgAIAN2DlEzGfxRR AkQAACrlAQAvACQAAAAAAAAAIAAAACcAAABCdWcxMjY5OS9vZS1zZWxmdGVzdC1yZXN1bHRzLTIw MTgwNDE2MTgyMjI4LmxvZwoAIAAAAAAAAQAYALCBAeiB2NMBoOn+54HY0wGgaTfpgdjTAVBLAQIU ABQAAgAIAM+DlEzsXumxnAIAAPYJAAAvACQAAAAAAAAAIAAAAHZEAABCdWcxMjY5OS9vZS1zZWxm dGVzdC1yZXN1bHRzLTIwMTgwNDIxMDAxNTE2LmxvZwoAIAAAAAAAAQAYAMDBTteB2NMBoHNO14HY 0wGga3PYgdjTAVBLAQIUABQAAgAIAMeDlEw6vMf/6gIAAK4KAAAvACQAAAAAAAAAIAAAAF9HAABC dWcxMjY5OS9vZS1zZWxmdGVzdC1yZXN1bHRzLTIwMTgwNDIxMDAxNzI0LmxvZwoAIAAAAAAAAQAY AEDpc86B2NMB8CVzzoHY0wHwypDPgdjTAVBLAQIUABQAAgAIALyDlEwpznssQxkAAPV5AAAvACQA AAAAAAAAIAAAAJZKAABCdWcxMjY5OS9vZS1zZWxmdGVzdC1yZXN1bHRzLTIwMTgwNDIxMDAyMzIz LmxvZwoAIAAAAAAAAQAYAMC048KB2NMBUKPiwoHY0wHw3ajHgdjTAVBLAQIUABQAAgAIAOGDlEzF 8DBf+wAAAKIEAAATACQAAAAAAAAAIAAAACZkAABCdWcxMjY5OS9wcnNlcnYubG9nCgAgAAAAAAAB ABgA8F0P64HY0wHA6A7rgdjTAcAcKuyB2NMBUEsFBgAAAAAGAAYAxAIAAFJlAAAAAA==