Hadoop 安装记录
第一步:打开/etc 下面的 profile文件,在其中加入环境变量设置的代码
done JAVA_HOME=/home/hadoop/installer/jdk7u65
PATH=$JAVA_HOME/bin:$PATH
CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
export JAVA_HOME JRE_HOME PATH CLASSPATH unset i
第二步:打开终端terminal,输入画横线的两行命令,就出现了jdk的配置正确的信息了
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAApAAAACTCAIAAAC23L6AAAAgAElEQVR4nOydd1xTV//H0wpOkmBbBzeDTUAQKaCIGtkJOApKq60VtVaqP0WgtkSWAm4FHODER62PLbUK4sC6RxWp41FEULSoLFkKatU6qff3x0lObu4iiQxrz+f1efG6ubmclZv7zvfcc8/hdOvZv1uP/t16DDDqMaBbzwFGPQYY9Rhg1NPNqOdAo54DjXq4GfVk8UBac3u6GwH3cjfqpbHNVXoQswczujfYGKJ0b1pL4Qavt5TXW8rV8FCuyVCuiZRrIuX1Hqp6OZRn4sHrPZTX24MHtps1Bjc8eSYUYyqbePIwL13srWkfHuaj8VLgwxf48IAxHx7mzcW8uKp/52JeXBMvde409iJs6GdvRguY9ws03xVoGlRT4MMTeKtrJ/DhCbx5Gi+px9AfoLntTbeT+l9K8wU+fPV/afwL4S1imuqXfGXZiMf4aFbWh3CkaqfQl68yrxn78IQ+mts+hJ3UbeUGH7wEuasOI2cn8OELfMkNIvTlCXx5AuUBWln5L+Al8b98NfeoDsN8NE8tyilnovGSa0K08mvIxTxV9qCah3lwsaHN2YOLeXBN6Kyxf6jKUu08hGQjkyFGvZV/ub2HGPUeYtR7MDBXtaHpQUa9B3N7D+Iq/5LsrvzbaxAXXl17w8vsQJXdWT2Q28vdqNdADYOLeS/lpZ5Lc/EfYNRzAGFDZSVBBhj16K92T8J2D1equ6n+duvh0q2HS7ePXDQ2PnLu9pFzt4/gBnwJ7Uxyh04fduistEHnjww6f9Sh80cGnT8y6NzDoHMPQ7V7arqXYZdehl16G3bpbdi1t2E3YBOCMYIFHbsJDLsJDLsJCRYZGokMjUQdjUSGXHFHrinBZh25Zp3UNifYohPPohMX2rITD9hK9VdpTjfA6Z4DjHoO6NZrQLdebka93Ix6DuT2cjfqOZDCZnpOc3u6KzeUH7YS0txeENWDoFlpPYgAZmgWPGugmohnnvrvUG7voer9JkN5JkN5vYcqNzSsBapNPJRIphKaRGst+MdXXaf4GvYBGzzMm4f5qsmtvHT68AQ+fMyXj/nwMQISNFIm4pm4s+XwzMRpIs9UPzJUb/nwaFioBBgLQQkXeiIFSQcQN3z5BDbwCYnwBb58ga8mSIhZ+PKU/+vDJyQFSMZX7/Tha/47X7MYfKFGynzK/2ocLPDlC/34Ql++0I8n9OOpN4iGkPblq5mtNF8D5L6qXwA+fBWq+Uo8kw9TZUf8reBHIDTBQtVfIaGthD7EZqSAmWrKfo3fo96MzFaeimSQc03Uv1Z5mBdX4MnDPHkCTwBpHubJo+M3V81vDwLmPWmsQeuhZGNDNfnNQnEIbArClcyG1qA1l2wqsEnwJpgcGtHT2qiXu5GS6AM1GQ+ZPdCop5tRLzdur4GA3BR4D+BSsd1zgFFPEqepJgNbta2ktZFyw1VJ7o9cNUDODuyOHxp0+hBg26Dzhx00ga2JbQKtgbsQsW2iCWwTw24mHVXAJpgA7G6ijt1EHQG2uaKOSmybkUyDbcBsnkVnHgQ2mdycbj0HACsj7F4DVD+vyD+puCpUc5lDam7PgTCe1jwn2KNq9sC6GU5TTYyteb2lSjz3VpkG1Uy09mTYqclsJbC9GGjtTeQfn/CXZBK2eZgPX+ADwMwX+PIxX75AFY0p2eOjEdJphCl6h9HePMyLMVyGhCbHmt7KABTz5gsgnnUwX9v9GgGcCsBqVKhorRHhKblIQAWBxPAl2RD/hN8BpLxgyj58oRrG6p2aPxpIqCZsAGarCU18SdiAlPWj4BluAwaTAmhAbuI/+hGBTQnl/YgpEw4AkTrEuY8q8qYNqeGH5UcJu/1Uf9l/DlJRTcG2wIsn0PypKvDkCbwgdAG5NWntycM8uZgXPaQ1DIPsoVwTDx4V2BjEtpSLsTNbSmW2kYkUcBpim9t7CAXStGYnNwh71FdXHvliyxZtgwibRG5uT3ooUAJuimHAzQhv+oC7W4/+3ZQbrt16uHb7yNWoh6sRI7DJUXiHjh906PShAbAy1AbM7qHJ7J6M2O4MmG1i2MWEDtuYYTesI8S2kcDQSNjRSGhoJAThNbShkbijkbijOtomYJtn3lEjzlZhW23LTjzLzmpmW3GMeqoi7F4DjHq5qfpDtOz9dieb0gfOFlL3ZqW1+uxsvvdbbRONDnDAaS49obUJqel6vMmxtZeOXd/EHm/ihg9f2QcONnx5GAhBfHmYLx/TBLbQl4QEQlDLEqawBC6EjmvayyilE1uza1o3QlO5RXfF96V7SWKqxrbmAT58OhjTJkIIJX34mnmRgkI+MX2hxkv4G0K14cMX+JE4rewgIe4EcapQyWy+0I8vIsbWMgrClRE5cZtPQDiRsnwNQlPDd1+GbfIPAhLISX3pmgG06q86FvdTNQvktB+hP1yLXhyNbw2B0wICsAVePHBXSODFE3gRbhVBcntCtGvcRVJueKpATmE20UpaUwJujBR/a99VLgVxNrf3EPWGVtgmdpLTvdtrELf3YOYAqZlOciMVp7nEHnK12cnNHHBTsd0TMru/UQ9wfxbalcYfQbNg27lDpw86dPqgAwiyO31o0PlD0CveQRPYBp17GEBUdwF/VbE12bS94pqhtpEqzlaTW6xpAGyIbXO1eeYdNVBtQSW3CthKVDPRmhJP9yIG2RqE5vYapOoA1+tGdW/QAc4eWFPvTBNuUat6v2EwrfwKqWNrLfu9PTSoTO7u1rLf25sMRY3Y2gd2dyvDaAhmiGeq4TWaFF8KfehA68VTdrxr0cVNQDJfA88akbT2bOaTeUzqHSV3kIJKkbjIAEtfvsCPvn1Yg2Zl6wn8CIf50SVF2KOEJSieH+V44h4CwoUMBaA36EgHGcmo5olUb4n8+CJfvkgJbL5Qptrwg4RW/6RTsRymzNOM40mE5lOCe0II7qf5v83ea1f/AFJ/0EIfFa1VwBZ4a8tsjaEAXpSXmvAmBd8A4QJvJcgFXlyBmtZ0Zoi2qf3qLMwmBt9a3uSG2DYhYNtksPovvdnpToyLCJFS7+ZDbXWETYq26SM67QJuUqjdTJ+5ktxGdMA2AhukaFsVf3fo9IGBitkGnT5SW90x3lPDXXoaapgW25hhF8ywKxnYyjjbSKDitLCj0jDOJgLbVIVtzVBbaQuA7Y4anIYblhwVqt20QrVGlzjsBoechh3guvd+E4Jpnna935pjyjQ53ZvpRvUbh9SUYJrfDLCJBmz2Vo0m8+GpbkUr8dwsrdXAJpFDBUXaTkWWuFm934cYPesXN1MCaIYolgBUYhRLipKJFKeSGHS0EiBKYCdoHPiWRnMRttUb8DcQ2Ekksa86BXWypLw0Ga/8TeBLPpL6s4BMdxWtRRDVEOHqMqgDbpEfXwTfUp0VIj/CfxGjcxmfEK9TI3j23niGcJzUP08FuQ8lCge3rn0JXwEfVagNzYJqWlMCbrXJYx65Am+u6nvBFbAw24sV1aR74ZTb22TrODyNHG0PIXU08ggXSR7BbNhmuyBrEW33GmikHNUEb2xTQ+2BOjCbPtRmYjZxVJomuVU3vEkGEbaB8i/oGydhuwfgtNJqbPcimEDrrr07gr7xrkRsK2PrjkYCQyPlX0MyrUX05DYyU1rJbDK2VbaE7sSz4oBBB3S9HPR94OQR4Bp3qZmiakBlOlTTdXpTz0WGeFp1f1p1l5qrMfCbCGlWWrOMIDPx5Jl48uk4TaI1nyGE5Wug2hdCmof56BKBafKGyA9SnC1QRe00neSEyx85aGbqoGaMm0mjujTCaCENmOmIq8kq+iMpiCXRl9Qg5MYhHSMjwY8YfTK/pYd9GbZJPxd8ad4VyvhCOV8o44vkSniTrBGFE/5RpDIxNBfKeBoHa2zwCClowFukAWzqzwUirfk05CaNidN8S31awjPWh7xNPIHpx9vTdQWxG9MgNzSX8OuWiOrmu8eZ4E2LcBqo6zw8jdtbyjWB18MhPBPa8EbrO99a85v4gI96DDmxn1U1ME2XaLuZ2JoSZLP2k6uGqqnGqbkYdPrQoNMHYNyZgdofGXQmAruHOtTu0tOgSy9oDWx3Vd3M7gqNGXbFDLsKOnYVGHYVqIeLGwk6qk2Ns6k95ARgM3SPE5ndiWfJMepJOxqc7Y41l0BrOAKc22tQ5k8/ISMjIyMjI7eGOcyodqeltXpYGaEDHKTV2HAPGRkZGRkZuTXMYaQ1AcwqWg8Cj1aT+sAzf/qppvpOTfWddq8MMjIyMjLyu2oO7SwoXCWeB1EfqiY9jw9o3e7VQEZGRkZGfrdNBbYqmO41CI791hxZpjFCAQEbGRkZGRm5DQyBrZqkjGYCUcYntdB9a2RkZGRk5LYxEdhg+Pcgo16DjHoP4vZmmf1b+YwWAjYyMjIyMnLbmKN+rrqnu1HPQdyeSmArF4rpxTS53WBuryG0wF6Wmuo8cJCj64Bm7Txw0LKUlHZvAmRkdt+tr2u4d5e6f+HCBQpF1IED+1sjU1LirZrX2+l/YZWRkdnN0Zz9G6Bac3Ja+jlPhjAB23XQkILCi9dKiq6WFF0tuXK15MrVa0pfKSq4VHDh/IWzv5/Nyzvz2+GjB1wHDWn3JkD+l3vTpo0KRdSWLZtI+6sqK3bu/GXBgvmzZyuio2cvX778xPHjRHL/c4HNVGVdvXbtmnXr1jY23Fu5coVCEaVQREVHz547d05qSkpOTnZVVWULtkBrlB8Z+Z9lDnFAGT2we2tAWr3SJQOwHV0HXL12xdffX2Jvb2vvYNe3b5++jvb9+jn0c+r78ceOzh/3c3Z2cnWRBfgfPLTf0XVAuzcB8jvgu/V1ev8v7dW/6EphYuLcZcuWHj508NLF/507+/uOHdtjY2M2rF8P8/qXA7u2pjomJvrI4UONBGATPX/+vFs3S1uqBVq8/MjI/zhzNKcUZZpcfoia1r1UL3szArv4WqGTq+tXX0+aPOWrSZMnjp8wfswXY4KCRw/7ZISvXCb18nQbPHiIx9Cc3VkI2Mj6GVzNd+/etWXLptjYmF3ZWY0N9+7W1+3alb1w4fyYmOjExISfftp2RxXkMb21bNlSEmaq71RVVpQnJiZs27b13t36xoZ74G9dbc31kpKkpKQdO34hlgEShT333H17Fy9eHBMTPWdO/Nq1a0CkvmPHL4sWLYiNiY6Onr1w4fycnGymXwPg5b69ezN/+ik+Pi4xMeHokUPN5vvbyRPLli2NiYmOiYlesmRxdlYWU5VzcnYpFFFLlizW/iPIP3NGoYi6fetWowrYq1en19fV3r51M3ffvujo2QpF1KpVK2Eh9+zJWbRwQUxM9Pz587J27oA1pS0kqQXO5J2ePVsxe7YCHEwtP0sjgHR2ZWdt2rQxNjZm3rykY8eOtPsJjIzc2HBPERVFa6bjOdxmgE2YpbaXJrlZgH21cJBUOjtWsW796vQ1aakrUxYvXZw4Pyl2Ttx3iqiwyEhvudzPX565fRsCNrJ+BlfhmJjo2NiYxYsW7tqV3dhwLyMjA/TKpiQvi4mJViiiUlKWATAwvbVly6a5c+coFFFz585JTU1NTU2tq6355Zftqakp9+7W3yz9Izl5GQjmEhLmHjp44ML58zEx0VWVlY0UprLkvmXLJoCWRQsXLF26ZPZsBfgRsGLF8tSUlP/8Z+PatWvAv+TkZBMrSAJ2fHxcbGwMOHL2bEXpHzdY8i394waA3Lp1azMyNixcOD8leRkoDLXKegB727atycnLwDYA9po1q+G7WTt3gir/ceN6Y8O9zZv/o1BEzZkTn7FhQ2JigkIR9Z//bGxsuMdUSGILXLr4v5iY6NmzFcePHWMqP0vjg3Rmz1asTk9bnZ4GSnX+/Ll2P4eRkfUA9iAGWjMtmQWwLeX2ljIB+2LBeV+57OvQyQ8fPoiNj4mKjoqcFTkjfEbotKkTJ381dty4gUOGBI4O2rRlIwI2sn4GV+EFC+ZXVVY0Nty7W1937dpVcC0+eeJEY8O9K4WXwcu806dZ3mqk619NSkrMyzvV2HAvPS1twYL558+f27x5k0IRdejggcaGewkJc8+d/b1Rk6ksWVwvKQHbe/fsBunfuF4CIuzqO1UN9+5WVpTdvFm6Y8d2hSJq8eLFxAqSgL1o4YLqO1XlZbdB/Hr82DGWfM+fPwcSrKutAYmU3b4FNqhVPnXq5Ib163/OVH+jCy79b/v2n3ftyr52tRjsuVtfd/r0b2C74d7dxMSEXdnKnxdUYF+6+D9Qkt/zz5Rcuwa2S65da2y4d+tmKXh5vaSEpZCgyj9s2RwfH6dQRMEeBWr52T9fkA64197YcG/16tXEl8jI7WhaNmsJ7EHcXkPUtCat76Zea129WBYTsM/knxoZFBgWERafEPfw4f3o2Ojvor4Li5g5YfJXQZ99Khs+3MPX74vxX6xeuwoBG1k/w35OuOfE8ePgMl1bUw32zJuXpFBEZWftZHmrkXL1v1NVqVBE3bxZere+bvZsxb69exsb7t26dRMCe9Gihb+dPNGoyVRtcqdOMZS7by8IFqHnzIknVpAEbAhIEKQeOPArS75VlRVxcbEguFy0cMEPWzZfKSwExzR7D/jAgf3EUqWkLNuyZdOCBfNXr04HBxRdKVQoomCCVGBf/N8FCOyTJ06QOrGBT506yVJIUGXgrJ07icUjlZ/98wXp5O7bC97au2e3QhGVlJTY7ucwMrLewIaLXRIITcI2ZTE4JmAfO3F47BdjPx37acjEkPETQx48aBz9WfCwkcN9ZLKh3l4DhwxxdnObHDp5WcoSBGxk/UwdkdRSwK6qrFAoom7dvFlXW6NQRP366/7GhnuVFWUA2DXVd2Jjoi9fvtSoO7DhW8CXL18C+3fs2H4m7/SPP25TKKLi4mJpK0h6OX/+PPCSvWo3rpf8/PPPq1atnDMnXqGIio2Jrigvo1aZ6pyc7FO/nayrrblZemPPnpzFixbGxESvX78WdMI3NtzLydmVmDgXjpmn6xLfoVB1iYNCzp6tyM7K2pWt9tXiKyyFBFUGOJ83LwlG3tTyawNs2L0BOv8RsJHfBr9JhD2Yq1pplRJb09CaBdi5v+6d9PWkz7/88ouQL+/fbxgz7vPgMZ99Ejw6YORIb7lc6uU9YPCQsPAZSfMTELCR9TMV2KR+URACKui6xIlvNTbc27J5s0IRlbFhPUin4d7duLjYc+fONjbcW7p0SWpKSkV5WU5OtkIRtXt3ztYftiQnLwN3oFm6xIlZwC5xEKw3Ntwr/eNGw727x44dUSiiYmNjwM4ff/yvHsBmybf6ThV8sKq+rjY2NkahiPrfhfPUKjdSusRBBVmckrzsv//dCl8yDTpbuXJFY8O9khJll/j/LlyA6Z/JO11fX8dSSBVo96SmpioUUcuWLa2+UwWOJJWf/fMF6aSmptytr6uvr0tJXqZAXeLIb4f1ADZ8zJoKaXpOqzyUCdg7s7dPn/l/3jK/+/cbvP38PH197t9vAHYe4Obo7GzXt19U9PfRsQoEbGT9TPvMD3HkEbj00w46I721Z08OiP9SU5I3bdrY2HBv8+b/ABhc/N8FEOEtW7YUxH/paWm3b92kLQNLFnDQ2eJFC5ctWwoGnRUXXQE7t2794ZdffgZDpXQFNku+V4uLoqNnr1y5YtOmjcuXLwfHgDiVWmWdBp2Vl91WKKLO5OXBPUyPdd0s/QMc8J//bFQoomJiotetW7Nh/XrQpV9XW8NSSFjlyoqyBQvmKxRR6Wmr6hk+MpbGh5F6YmICyFehiAI/yJCR38S6DhmjTUHLncDELnHtgT0UmAnY//3xh+8Vs3wDAvyGDfMbNszH399LJpP6+Lh7ePYfNNipv1tfl/4JSXMU0d8jYCPrZ1pg362v25WdvXDhgujo2TSPdTG8VVVZsXr1asDLxYsWNjbcKym5FhMTfejgwcaGe9V3qq4WF9XX1127WgQ7hGnLwJ77vr00j3UdPHAgMWFubGxMxoYNAEJ6AJsp3/Ky2xkZGxYsmB8dPTsmJnr58lQwVo62yjoB++jRIzEx0cRb8hDYs2cr5syJT0lZtitbY+KU+vo60LUeHT07Li52+fLUnJxd9+7WsxSSWOWSa9fA0LNNmzY23LtLLT9L48NIfdu2rXFxsUlJiUePHm73Exj5HXCLAFvXUeKqeVEYblSTOM1T0ZoF2Bs2rltW6bqs0jVh3pzEeXPnLUiYtzBxwaKkkIlfhkwcv3jpgomTQsZ+PuZ7xSwEbOS30yeOH4+Onv3Dls2XL1+qqqwo/ePGwQO/JiYmFF6+3O5la3dvWL+eeLv6LTea4hT5nTGH22uIeiIzcA/bRMrTgDQ5sOaaDOViQ7kYPbBd3AenLF+anLpk8ZIF8xckJiTGx8bPVkR/HzV71veKWd9Hfft91LffRUXO+j4y4tuZLu6D270JkJFpfflywapVK2EHb0LC3D17dte/wZRq74x//TW34NLFdi+GlkbARn5nzCHQmg7MJh509gQbtMBevHRZv/5u2iz+4eg6YNHSpe3eBMjILK6sKC+6Uni9pKTZcVjIb6cRsJHfGXNUj3Ipac3TQPVQrokHT8VpnnLbk2fiyTPx5GKeTMtrJs6brw2tE+fNb/f6IyMjIyMj/yPMUc6CQomteZTwmod5cjFPAGyuiSePGdjIyMjIyMjILWsO5Ra1JqQ1Imw1rbmsETYyMjIyMjJyy5pDia3VqAZhtJLQmBdPZS7mBV4iYCMjIyMjI7eNAbDZRpbxTLx4Jl5cEzWwVfZGwEZGRkZGRm4bcxhQDaxENYXW3sAA2A337iIjIyMjIyO3qgnAxtTA5tGg2ptqBGxkZGRkZOS2MW2EDe5ee3EpfeAI2MjIyMjIyO1iDoHQnjzwV73BGFvzMG8e5gOAfe9uPTIyMjIyMnKrmqOmNaacDoWLqV6qgU0itw8wAjYyMjIyMnLbmMMjRthKSHsSDCGNgI2MjIyMjNxu5vAwDx7moRlYezIE1mpU8zAfnkAJ7Lv1dTp50CD3xIS51O02c9euXXNydrVB7u1Su7Zxv36OixctavditFLjt+UH9w6fJMjIyC1rDpjLjEfuBvdSR9UCMqeVxpoHtr+/P4cgExOTu/V18XFx23/OBAe07NWKlB2Hw6FNHAKbWJIBAwbMnz9P1xx9fX0++WQkaef06dPt7e1J6beBCy8XBAZ+YmzMNzAwEAoEQYGBN0v/aKW83hDYHAYdP3a0pUr4Jo2v32np7+8/duwY4p6JEyZ4eXm1Rl7IyMj/QisjbE1UawKbSGvIbEKEXV9Xy2R/f3+ZTHbs6FHg06d+Ix0wyN09Ye5clhR0Mim7Y0ePXrtaTD2sa9euObuySTsHDOg/f948XXPMyNjQqVOnP27cgHtqqu/07t17XlJSS1VKezs42Ds7O2dn7czLO/3L9u1fT558pfDyG6Z5p6qSdn8/R8dFixbqnSz8gEaOGOHs7AxfVpSX6VeelrV+p6W/v//YMWOIeyZMCPHy8myNvJCRkf+FhsD2oAM2BdUwwsZ8eQJfbYBNuoTVa16hiNvVd6oiwsN79+5taGj48ccfH/h1v66Voc2uvq629I8bI0YM79Spk6mp6Q9btkBgw9yDg0fDIK9Hjx7a51hZUc7n81JTUuCeX7ZvNzAwuFpcpE3ttmzeLBaLwQFpaas4HM4v27fX19Xeqars0qXL/tx92pek6Eohh8Oh/hBhadgVK5bb2dkZGhoaGxuHhIyHsOzn6BgZGeHr48Pj8WJjY6rvVEVGRmAmJgYGBhYWFlt/2AKOiY+P+/TT4C5dumAYtnnTJv3OvwkTQqRSKXs5SeXp5+gYGxvzyciRnTt3trGxOXz40PFjR5369evYsaOHh0fpHzeop1Y/R8fvv/8uIMDf2NiYWFqmFmgNYDPVjlTO8JkzPT09MBMTU1NT0NTIyMjIwBy6znDCrWsBCdW+PMyHJ/AFbllgT/n6a1dX1wO/7r/4vwtxcbHGfP71kms6VYYJ2J+MHOngYH/82NGTJ44PGNDfwMCABOx6fSPs+rraCRNC3NwGwJfBwaP9/Py0rN21q8UcDudyQUF9Xe24ceO6d+/+7beR9XW1B37d37lzZ52iyYryss6dO0dERNTWVJPeYmrYtLRV2Vk7Cy5d3LNnt4ODfdiMGeD4fo6OfD4vJ2dXfV1t2e1bkyZNFAgEmZk/FVy6uCs7a8cv28ExH374YWpKSv6ZMxEREd26dbt1s1S/1oPAZionqTwg6xUrluflnR41apS1ldXgwYN3ZWcdOXLYytIS1oIEwg8//BAwcu2aNbC0TC3QGsBmqh2pnEZGRgcP/FpfV5uZ+VOnTp3OnMnTo1WRkZHfSbMCW0CNrX2JBsCuq61hsr+/nHiHMi42tq62xt3dfe7cOeAAuP3HjeuGhoZnzuTB/3Vyclq1cgVL4s1mx+FwdmVnXbta/P777+/duwcc8+v+XLCfVJIB/fvPm5ekU3bAufv2vffee+fPna2rrbl1s7RLly4bMzZoXzsrK6t1a9fW1dZYWJgrFFEDBw6sq62ZO3fOoEGDdC1JenqakZGRsbGxt7d3XGxs4eUC7Rv2x23/tbAwB9uOjo4TQkLA9o3rJQYGBpk//Ug63tHRcfyXX4Lt6jtV3bp1A02qqyeEhEilQ9jLSSwPKevTp37jcDhbf/gBvExKSnR2diY1PviXqd98A1Pg83jU0hJbgPi/b3L6cTgcL09P9tqRyvnFF5/DY7y9vGbMmK5HqyIjI7+T5tCNNaMMC9fkNDBfO2DLZH5Hjx4BLi66UscA7Nx9+6gXu5joaJ0qQ8ru6NEjt26W7tmz+7333rtTVQmOqb5T1aFDhxYEdl1tjYWFeVTU93W1NWmrVvL5/MqKcu1rN/7LLydNnFh0pZDL5ZZcu9qlS5eqygq5XDbr22/1KMntWzd/+nHb999/Z2dnx+Pxjh87xpL13r17BvTv36VLF7CTy+WCRBwdHWFT7N27h8PhlJfdJh8qTeUAACAASURBVGXk6Oi4YP58+FIoFP6wZYseBYbAZiknsTykrEEXxbmzv4OXq1enW1lZkRof/MvCBQuopWVqAb2BTTr9RowYAYDNUjtSOZOSEmGC06dP9/Pz0++cREZGfvfMYZ98lIf58DEaWvMEfjyBnzbAHjNmDGknLbABGG7dLH2TytBmt2fP7g4dOtTWVMM9hoaGLQvs2bMVIDiTSodMnDCBWlOW2qWnp0kkko0ZG7y9vOpqa/r0sduzO6d79+6/bN/+Jk1xp6rSyspq7NixTFmX3b7F5/EUiqhrV4tra6p3ZWd17doVvOXo6Lho4UKwzQJseExdbY1QKNyyZbMe5YTAZmkiUl7ElwDYF86fAy9Xr063tLQkNT5TaVlaQG9gk06/CSEhANgstSOVc+6cePjWN6GhCNjIyMjQBGALvFUPcXnzBN6qx7cYac1XAbu2pprJ/nL5mDGfkXa6u7vPnTOHtH295JqBgcF/NmawpNasabO7Wlz0/vvvnz71G3h55kweh8PJzsoilWTgwIFJiYn65Xvh/Ln33nsvY8OG999/P3ffPmpNWWp3/tzZ9957b/SoUTEx0bU11V99NWn06NEdOnS4WfrHmzRFbU21l5dXQEAAU9ZHjx4BJAYvFyyY37VrV7Dt6Oi4cOECsA3+PfOnH0n/TjymtqZaKBRu2bxJj0KGhIyXDhnC3kSkvIgvrxYXcTic8+fOgper09MsLS1Jjc9UWpYWIP6v9qaefiEh4z09PdlrRyrn8OHD4VuuLi4zpk9/w9MAGRn5nTFHHUwLCBtqYPvADnAirYkRNkvq2gO7tqZ6ytdf9+zZc/Om/1y6+L/Dhw5GRIT/dvKETpXxl8tlfn5HjxyGLrh0sbamevjw4QEBARXlZZUV5SNHjnjvvfeowB49evSIEcMLLxeUXLuqRzsOHjyIx+NZWFgw1ZSldiYmJh06dNizO6e2pnr9+nUdOnTo16+frgW4drV4yJDBaatWHTt29NixozEx0e+//35qagpT1tdLrnXs2HFjRkZtTXV+/hmRSEQL7Nqa6okTJwgEgsyffrx08X87d+zY/nMm9Zg3BzZLE7USsFlaoMWBzVI7Ujl5PG5qakrBpYtxcbGGhgbwhyYyMjIyR81pNaqJtCbF2X6tB+w7VZWKqCihUGhgYNCjR4+gwMCiK4U6VcZfTh71EzplSm1N9fWSawEBAR9++KG1tXXysqVdu3alAvvo0SMSiaRDhw49evTQox1XrVzJ4XCiZ89mqilL7UYFBXXq1Kmyory2prqg4BKHw/nmm1BdC1BRXvZ//zfNzs62U6dOhoaGtra2EFFMWa9du8bExATDsP79+y9etIgJ2JUVFTPDwnr16ql8rGvrD9RjWgTYTOVsJWCztEBrAJupdqRyKqKiZH5+nTp1EolEmzf9R48mRUZGflfN0RxcxoZqviatIbBrqu8gIyO/uR0dHRcumN/uxUBGRn47zeEJfFT3rTVQzScz248vkPFVd6/5AhlfIGMHNnVYLIfDacWaMKh1m49Zbf1Bvh3F0Lu07V6kVmp/nWqHgI2MjMxiDi2teQJfCq2V5gn8eEIZTyjjC5sBNjIysk5GwEZGRmYxh47WtIPDVcwWyvhCGV+gBnb1nSpkZGRkZGTkVjWHltZwTDif/CiXEtXELvF2rwMyMjIyMvI7byqwlZwmMpsv8OUL/PhCArCFMr5QDoB9p6oSGRkZGRkZuVXNIdyuhrT2UQNb6MsX+hEs4wvlKmDLELCRkZGRkZHbxhzSHWtCYO2nYQ1mA2wrI+y8UyeQkZGRkZGRW9UcHrnr21cD0vTAlhOBjSMhISEhISG1sjiaw8p8+EIAbBW8NbrEZQQjYCMhISEhIbWdODwhDK99VJG0r6aptEbARkJCQkJCalOpI2xVB7g2tNYYJU5MTiQSYRgWGBjYXvWBsrKywjAMw7DS0tK2TH/MmDHp6emtkWPbKD09vbU/vuDgYNB0r169atWMkFpKJSUlXl5eQqHQ3t6euD89PX3MmDHEPa39vUNC+jeLw9MYWearXXjNGGGLRKLLly+3UlkvX76MYRh1f3Z2tlwut7Kycnd337VrF9z//PnzVr1w0KbfgsBmqi9VNTU14CppbW0dFBR05MgRvTNlAbb25WlWxcXFtMAOCQnZs2fPw4cPrays3j2cZ2RkDBs2rNnD9G5nLdPXQ1OnTp0xY0ZDQ8OjR4+I+48ePbp27VrSwa39vUNC+teKo3rGmgpp6shwGXHE2VsC7HXr1vn6+l68ePHVq1cFBQVOTk4FBQXgrX8bsPfs2XPp0qVly5aJxeL9+/frl2n7Atve3r6qqurYsWOjR49ukYzeHjU1NQ0YMCAnJ6fZI/VrZ+3T10MjR47cunWrlgcjYCMhtZI4dN3g1GevyajWCdhhYWFxcXFJSUm2trZWVlbgm//06dNZs2ZJJBIbG5vw8PC//voLHEy7v6ysDNPUuHHjcByvqKhwcnJqaGiAeW3cuHHu3Llgm/bCwZQvjuMFBQWjR482Nzd3cHBISEgAO/ft2yeTyczMzOzs7GbNmvXkyRN4PBOwFy1aNGnSJHNzc7lcXlNTw57vs2fPIiIiJBKJqampTCYrKipiqS+TALAvXrwIXsbExHh7e4PtpqamJUuWODk5mZmZffHFF9XV1Sz54prATkxM9Pb2fvDgAUt5mOoVGBj47bffyuVye3v7cePGET8jnAHYt2/fdnJywnE8OTl54cKFLPVlKT9TeYg/pLKysqRSKUyK9vzEGc4HpvZsVnv37nV1dYVVpk2H/XOnLQ9T+iztr9P3ccyYMcTywC7x3NxcsIfUJY4zfC/0bjckJCQoDiuqVcAWQUjL+EIZX6QxcQoxOSZg9+3bd8WKFU+ePKmtrb1w4QKO47GxsVKptLCwsKioyMPDY/bs2eBgpv04XeSxfPnyJUuW4Dh+9uzZgIAADw+P2NjYqVOngndpLxxM6VdWVlpbWycmJpaVlV27dm3BggVgf2ZmZm5ubmVlZUlJSVBQkEKhgEkxAdvBwWH//v3Xrl2TyWTweKZ8161b5+7uXlRUVFtbu3///sLCQpb6MokE7MOHD2MY9uDBAxzHFy5c6OvrW1BQcPv27fDw8OHDh7PnC4GdkpIyZMiQu3fvspeHqV6BgYF2dnbl5eWvXr2aMWPGlClTiP9FAvbFixclEomVlZVIJAIMtrCwkEgkLFVmKj9TediBTT0/mc4HpvZsViNGjCD2HrOkQ9vOTOVhSp+l/XX6PgINHz78v//9L7VS1HvYOMP3Qu92Q0JCguIQhoVrcloEtwm0FmlYe2DL5XLintevX0skEni/ec+ePTY2Nn///TfTfvCSeiEbP378qVOnnjx5Ym9vn5OTc/PmzYCAgNDQUPAu9cLBkv7ixYsDAgLYG2v37t1Dhw6FL5mA/d1334HtLVu2gIqz5JuYmMgUPesN7IKCAgzDSkpKXrx4YWlpee7cObD/8ePHAoGgvLycJV8A7PXr17u5uZHCIGp5WOoVGBgIL/pXrlwRi8XEzgkSsF+8eFFZWRkaGrpq1apbt25ZWFiUlJRUVlayVJm2/CzlYQc26fzEGc4HlvZk14ULF6ytrf/8809t0qH93NnPT1L6OGv7a/99hAe8IbD1bjckJCSiOFrctybQWijji+TGIjlfJOeLdOgSJwamOI43NDRgGHbt2jXw8vr16xiG1dfXM+0HL6kXMrlcfuPGjVOnTo0cORLs2bt3LwuwWdKfMGHCnDlzqA10+fLl4OBgS0tL0AHo4uIC32IC9qpVq8B2VlYWADxLvgUFBVZWVgEBAUlJSfn5+aSs3xDYICOSQETFlG96erq1tbVIJJLJZKQua2p5WOoVGBi4bt06sP/PP/8E5YH/SNsl7uLiUlZWdubMGW3CL9rys5SHHdik8xNnOB9Y2pNdoaGh8fHxWqZD+7kznZ+06eOs7a/99xEe8IbA1rvdkJCQiGICNoHWIhhby1WxtRzs1x7Y8L4yUEsB29/fv6Sk5Lfffvv000/BnkOHDukNbFIhcRxvampycnJKSEgA3cu5ubnOzs7w3WYHnUEwsNersbFx586dM2bMEIlEO3fuhEm9YZf4/fv3QUak+8dQtPmmp6fb29sXFha6urquWLGCeLyuwF69ejXYf//+fXZg29vbSyQSDMMkEomFhYVYLJZIJDAgYxK1/CzlGTt2LPxcdu7cSQI29aOnPR/Y25NJFRUVYrGYGFCyp8MEbGp5mNLHWdtf++8jPKBFgK1ruyEhIZHEoYut/cijzEQyvkgGA2u+SM4X+us06Ix0gaB2wVlbW9N2iYP94GVRURGGYcSeukmTJh05cuTRo0d9+/YtLi5++fLlhAkTILCbmpoEAgEcjsSSL87Q5VhVVUW8cq1cuZIIbGr6OAOw2esFFR0d/c0338CX1PoyiWnQ2YsXLywsLA4cOMD+78R84T3s48ePm5qawos4bXlY6hUYGBgWFgb2//777yKR6PHjx/AfScCuqqpasWJFaGhoZWWlXC7PysqqrKx8/vx5sxUnlZ+lPBMnTkxJSQH716xZ0yywmbrEtWlPkubOnfv1119rnw7t587SJU5NH2dtf+2/j/AAnYBN/V7o125ISEgkUYCtGlAGw2hVYE2kNbC/3sDGcTw6OloqlV65cqWoqMjT0zMqKop9P47jjY2NQqFw3759T58+Bdf6DRs2gM693377zdvbe8iQIZGRkeHh4fBffHx84uLi6urqHj58yJ4+HNRTXl5+/fr1ZcuW4Tj+/PlziUSSlZWF4/itW7c+/vhjIrBp02fqemXK98cff9y/f39NTU1RUZGXlxcYQ8dUXybBx7oKCgqSk5OJj3XNmzfPxcXl+PHj1dXVJ06cmD59Onu+xFHiERERxI5x2vIw1SswMNDS0vLgwYM3b94cPXr05MmTiQWmdonPnDlz27ZtL1++tLS0JD3sSyum8jOVJzk5OSAg4Pnz542NjZ6ens0Cm/Z8YGlPJj169MjGxubs2bOk/Szp0LYzU3mY0mdpf52+j0A6ARun+17o2m5ISEhUcSh94JrAFso1UA0p/mZd4jiO//XXX5GRkTY2NtbW1jNnzoQjYpj2A6WlpfXp0wdTPe7S2Njo6OhI7Gsl6fz58wMHDsQID5+wpA8fm7Gzs4P3Cw8dOuTm5ubq6hoUFJSWlkYCNjV9JmAz5btjxw4vLy+xWGxraxsZGUl8zIxaXybBiVOsrKwCAwMPHz4M32pqakpOTnZxcRGJRG5ubvBxIKZ8icB++PChk5PT8uXLWcrDVK/AwMC5c+f6+/uDx3ju3VOdJ+XleGrqo0GDrhkYvLaxwW1scAcHXC7/uXfvhpkzq7/55r+WlnhiIr0jI/FRo3C5HJdKH4pEFV26lBoY3DI0rDc2/tvaGrexwW1s/ra2rjc2vmloeNPQsI7P/9vaGndwwIcOfTloUDmXe6Njx5pu3W5bW09zdISVoj0/mc4HpvakUV4eHhj4sEePO126gLLhtra4XI5v395sOrSfO2151q1bRztZCmP76/h9BKICWyqVku5JwycYcbrvhQ7thoSExCCOmtYiNa2NNVFtrBlbG4v8jYVy4zafOIVWv/76q7Ozc1ZW1qNHj549e1ZXV9eWuSMxKTAwMCMjg7x361b8vfdwDuetMJ+v5CjRDg740KG4VIq7uCg3HBwYjyG9RdzfvXszuVta4paWNElZWeFyOZ6Xp00jv3r1qn///rSTpdC3PxIS0j9ZHHU3OLEzXCTni/zJtAa3rkX+fJE/nwHYZmZmZmZmn332WVvWoaCg4Kuvvurbt6+lpSXLSFqkthQNMMrK8A4d2p/T/xT7++MPHrA3cnV19YoVK2hvlyBgIyG9e+LA8NoYjgkHSCb1hIv8VbSWGwvlxkJ/2nvYSEhANMBIS2t/Cv6z3KkTbmbGGNCzxPq2tr/37r2b8qxaCygvDw8MxG1twY0MfPJkXC5X5s7eOeHggH/xhZY9B0hISLRSA1s1ssxfA9IiubEypFbaWChXbtDdw0ZCYhQCdtv7ww81ICqTgREA5JcODmoAjxqFjxqFu7vjo0aR+Roa2gJFUj3EgYSEpKs4GqPMNGJr4gaktfKvscjfGEXYSDqprAx///32ZxiyTjY0xLt2xXv0wHv0aLE0T59u73MRCekfKQ5hKLg/rY1FAXyRvzGwMMBYCP4GGIsCELCRdNPWre1PIOR2NwqykZD0EsdYRIytVWAW+RtrItxY6G8skhNpTQtskUiEYRjT+oxtKSsrK/C0SSst88eUfgsur9kuYlles2VUXv5D374nOnUqMTB4DZ7FcnDAZTI8MhJPSGjGERF4YCAuk+FSKW5vj9vYvLK0LH3//ZcWFjTjvYl3T6VS+C/Nj99uVfN47c/LdndwcCueYEhI7644TIG1JqoJgbWK1kzAbuP1sHEcz87OlsvlVlZW7u7ucLYm/N+3HjaGYdbW1kFBQUeOHNE70/ZdDzskJGTPnj0PHz60srJinysG6NGjRxEREXB2Dm2Vl4fL5Tgt5iHdnZ01MM/yC4B2P3EbPMEVGKi+JfzLL7hcjksk5KQsLfFu3dofqK3tbt3UN87BLXY7O1wux9FyIEhIrCICWw4ibEIHuL+K07A/XE3rtwTY69at8/X1vXjx4qtXrwoKCpycnAoKCsBb/zZg79mz59KlS8uWLSPOdKar2hfY9vb2VVVVx44dGz16dItk9I/U6NHtz9T2MuotR0JiFkdFaLmxKIDQH07qISfH1saiAGPRMO1nOouLi0tKSrK1tbWystq6dSuO40+fPp01a5ZEIrGxsQkPD4czbdHuLysrI02rBGaAqqiocHJyIi4qsHHjRjiLEy1QmfLFCTNJOTg4wJmY9u3bJ5PJzMzM7OzsZs2aRZwBignYixYtmjRpkrm5uVwuh9M/MeX77NmziIgIsAi0TCYDMzAz1ZdJTHOJ4zje1NS0ZMkSJycnMOMVXDGTNl9cE9iJiYne3t4PHjxgKQ9TvQIDA7/99lu5XG5vbz9u3DjSwg+0wL59+7aTkxOO48nJyQsXLmSpL47jpaWltHNs0X5eV69eFYvFcPXJR48emZqagh92LJ+v9mJJn6n9cYbvBfhcPheJDnbuXN2583NTUxCFN9jblxgYlL7//h0jI2JM//egQTcFghsdO94yNKzn8/+2smqjPn+BAJfJ8MmTcT8/ZfcAbedE1646p4yGpCEhMYjDFwVoDjEjGITXIhpUA2sP7L59+65YseLJkye1tbVgWb3Y2FipVFpYWFhUVOTh4QHX7mXaj9NFeMuXLweTSJ89ezYgIMDDwyM2Nnbq1KngXVqgMqUP52ouKyu7du3aggULwP7MzMzc3NzKysqSkpKgoCDiuoRMwHZwcNi/f/+1a9dkMhk8ninfdevWubu7FxUV1dbW7t+/v7CwkKW+TKJdrQusMLZw4UJfX9+CgoLbt2+Hh4fDlSuZ8oXATklJGTJkyN27d9nLw1SvwMBAOzu78vLyV69ezZgxY8qUKcT/IgH74sWLEonEyspKJBKB3xAWFhYSiaTZitfX15OAzfR5ubu7gznhcRzPyclxdXV9/fo1y/G6iil9pvbHGb4XLOcDTjd3N3375+XliUSlnTq9sLF5PXhwSY8ed3r1wqVSXCZTjgAATIUvQR8+ADAYJSAQtEwcHBysM7DHj9fvI0BCeufF4YsCjKnAFvtrEpqG1joBWy6XE/dQVweysbGhXa0L7AcvqcAYP378qVOnnjx5Ym9vn5OTc/PmzYCAAJblNVnSZ1kNCWr37t1gfWum9HEcHzNmzHfffQe2t2zZAirOkm9iYiJT9Pzm62G/ePHC0tISrlP5+PFjgUAA1mFkyhcAe/369W5ubsRwkLY8LPUKDAyE8L5y5YpYLCYGryRgv3jxorKyMjQ0dNWqVbdu3bKwsCgpKamsrGy24lRgE0X8vObPnw9/NEydOpV28nDS56uTaNNnaX+c7nuBs54POAXYLO0/ZsyYuLg4sH/btm3UjJpXXh7eq5cGSo2N8c8/123yk9OnEbCRkFpKHDKqGaNqDVTrCmxS4NJS62HL5fIbN26cOnVq5MiRYM/evXv1Xg+bdlrTy5cvBwcHW1pagt5XFxcX+BYTsFetWgW2s7KyAABY8i0oKLCysgoICEhKSsrPzydl/YbABhmRBCI5pnzT09Otra1FIhFxnS6m8rCvh71u3Tqw/88//8RY18MGcnFxKSsrO3PmDDEMZRcV2Eyf16VLlywtLZ89e/bixQvi8lYsny+TpkyZIhKJRCLRpEmT4E7a9FnaH6f7XuCs5wNOATZL+48ZMyYtLQ3sh+ehPsrLw6dMwadM0X+SMl2nW0Fd4khIDOKQw2txgPqOtZCN1joBmxTQtBSw/f39S0pKfvvtt08//RTsOXTokN7ApkZdTU1NTk5OCQkJoHs5NzeXuFpXs4PO4Gpd7PVqbGzcuXPnjBkzRCLRzp07YVJv2CV+//59kBHp/jEUbb7p6en29vaFhYWurq4rVqwgHq8rsFevXg32379/nx3Y9vb2EokEwzCJRGJhYSEWiyUSCQxMWUQCNsvn9fr1axcXl4MHDx47dqxfv34gDGX/fJlUW1tbWlpaWlpK/KFAmz57+zOtEsZ0PuA6Apt21bj2UV4ePnYs/sEHaNAZEtKbiBhhM/WB09PaWDRcb2BTu/Ksra1pu8TBfvCyqKgIwzD4EsfxSZMmHTly5NGjR3379i0uLn758uWECRMgsJuamgQCARxOxZIvztAlXlVVRSTrypUriRd0avo4w4WSvV5Q0dHR33zzDXxJrS+TmAadvXjxwsLC4sCBA+z/TswX3sM+fvy4qakphAFteVjqFRgYGBYWBvb//vvvIpHo8ePH8B9JwK6qqlqxYkVoaGhlZaVcLs/KyqqsrHz+/HmzFScBm/3zio+Pj4iIiIqKgn317MfrKmr67O3PBGwo0vmAa9ElDtv/7QI2VF4eLpUy0nrNmvYuHxLSWy0OX+TPF4O5wZmYTUvrNwI2juPR0dFSqfTKlStFRUWenp5RUVHs+3Ecb2xsFAqF+/bte/r0KbjWb9iwAXQq/vbbb97e3kOGDImMjAwPD4f/4uPjExcXV1dXBx/VZUofDjorLy+/fv36smXLcBx//vy5RCIBg4lu3br18ccfky7o1PSZLpRM+f7444/79++vqakpKiry8vICY+iY6ssk+FhXQUFBcnIy8bGuefPmubi4HD9+vLq6+sSJE9OnT2fPlzhKPCIigtgxTlsepnoFBgZaWloePHjw5s2bo0ePnjx5MrHA1C7xmTNnbtu27eXLl5aWlo8ePWKpLFEkYLN/Xvn5+X369OnXr9+pU6e0OV5XUdPHmdsfZ/hesJwPON2gM6b2f0uBjeN4WRn9Eqt6d9ojIf1rxFE/uNU8rYcTNoa/IbD/+uuvyMhIGxsba2vrmTNnwhFJTPuB0tLS+vTpg6keK2psbHR0dCT2tZJ0/vz5gQMHYhgGL3Ms6cPHuuzs7OD97EOHDrm5ubm6ugYFBaWlpZEu6NT0mS6UTPnu2LHDy8tLLBbb2tpGRkYSHzOj1pdJcOIUKyurwMDAw4cPw7eampqSk5NdXFxEIpGbmxt8XI0pXyKwHz586OTktHz5cpbyMNUrMDBw7ty5/v7+4HGme/c0zhMqsAcOHHjjxo0LFy7IZDKWmpJEvYfN8nk1NTX17du3T58+xHzZP1+dRJs+U/vjDN8Lps9FKpWS7oWDWjO1/9sLbKY1YMrK2rtkSEhvuzhKMDM8uEUBtobbeOIUWv3666/Ozs5ZWVmPHj169uxZXV1dW+aOxCT29ZiZJk7RVRUVFRiGNTY2vmE6SG0nWmB//XV7FwsJ6R8gDt2MKLTMHq5mtpgR2GZmZmZmZp999llb1qGgoOCrr77q27evpaUl7UhvpLYXC7A///xzMzMzkUjU1NSkd/r379+vr69fvHixq6urDv/266/46NF4QIB6HUnShlyusQYlXHES7od/R43CIyPxyEj1u9TUqMcQV7eEK0aTVpImZkHMHczf+U9fUrqsDO/QAYXXSEh6iKP9HWu1xcONRSOMRSPQal1ITGKPsN9c/v7+GIY5OzufPHkSx3H8l1+UJI6MxBMT8cREJSYhMt3dcS5X52eC305jGOMvBtp1rN82bd2qcRt769b2LhAS0j9DHN1RPdxYDIyAjdR+Ki/Ht2/Hvb1xa2v6QUz/ckOowxgdBvRwqZIvvmg3tJeX40lJeEICWvADCUl70QC7O9gQq2gtJtBa7REI2EhtpwcP8O3b8WHDcDc3fOBA/P3325+I74zRo89ISP8QcZjC6+4iKqdHkIyAjaSPysvx1FRcLlffsqW9+zt5Mh4QgLu44CJR+1Pt3ba5uTLmlsvx1FQU9SIhvZ3iGIuHaRjE1mLiaHCAZ62AzT638z9X1OdfkfQU6f4l8ttpdF8ZCentEwHYphDbpN7v4d3paG0sHkkF9qNHjyIiIuAsIu+Mjh49unbt2lZK3N/fPzc398CBA15eXnDnxYsXQ0JC7OzstPkBBH4nEWVqaso+Rdrff/+dmJhoZ2dna2s7d+5cbQZsZ2dne3h4iMXi/v37w0e9p02bRsyXOGcITb1oRwgjv51GI7eRkN4ykSPs7iRamw7vbgr+juiuQnV30xHdxSONTWmAjaSHaIF98uTJJUuWrF+/Xhtgv3r1qpig0NDQr5t7sHXDhg329vb5+flnz551dHRc09yskIcPH7awsMjIyCgoKDhx4gScBnXatGnh4eEwa+JENDT1Ypo0oy1tZIS7ueHBwXhgIB4UpFxQEm6AFSfhGpTEFSdJDgrCIyPxiAj1u9TUqMcQV7cE61pSV5ImZgFzl0q1mou7BY2CbCSkt0wceH+6OzF6NmX3SGAisEtLS0lzMAHt27dPJpOZmZnZ2dnNmjULXNCvPoSX5AAAIABJREFUXr0qFov//PNPcMyjR49MTU0LCgqYjmcSSzpNTU1LlixxcnICM20RV4oMCwuLi4tLSkqytbW1srLaunUrjuPPnj2LiIgAizHLZDI4Q3hubi6oFKlL/OnTp7NmzZJIJDY2NuHh4XBGqjFjxsTHx3/22WcSiUQul2tzd4AW2EBgvQ2dbjG8fPnSwcHh4MGD7IdJpdLU1FSwnZ6ePmjQIPbjR4wYARfzIGratGlJSUm0/9LWwJZIcA8PPDIST0jAExKUmITIlMvxoCD811/Zq/m2Ky8PHzUKd3Oj/8XQ7DrWCNhISP9kccg3pwGSxWQ2A3cn/KWNsKn3sDMzM3NzcysrK0tKSoKCguB6gu7u7mAOZxzHc3JyXF1dX79+zXI8k5jSWbhwoa+vb0FBwe3bt8PDw4krNoaFhfXt23fFihVPnjypra0Fyx2uW7fO3d29qKiotrZ2//79hYWFxFyo97BjY2OlUmlhYWFRUZGHhwdc72HMmDH9+vW7ffv2y5cvx40b12z5cRyfOHHisWPHTp48+cUXX5De0gPYubm5Dg4O7JOI/fXXXxiGnThxArzMz8/HMIy4OAdJL168EIlEmZmZvr6+Dg4O33zzDVyBatq0aba2tmKx2NnZedWqVaDxGetVVtaSA7zd3PABA3B/f3z7du3b590XCerEGN3eHhcKtWpbHg91iSMhvW3iaKJ6pLHpSI1t05Hd1f6EZF0Hne3evRuuyzt//vwpU6aA7alTp9IuW0Q8nkm06bx48cLS0hKuz/j48WOBQFCuGvsaFhYml8tJ6SQmJrLM193sKkk2NjZwlaS4uDiwf9u2bdSMdJIewP7yyy9hAZgEVqkqLCwMDQ2dMmVKSUkJhmHlzGODq6urMQwbPHjw8ePHCwoKhg0bFhISAt7atWsX2LlmzRqxWLxx48Zmyrd1q554Fgrxvn2VeEbDmN9E2ixQjcJrJKS3Txxj8UgNKzn9icojVX/1BPbly5eDg4MtLS1Bx7KLiwvYf+nSJUtLy2fPnr148cLGxubs2bPsxzOJNh2wMDBJIJLGcTwsLIwa+BYUFFhZWQUEBCQlJeXn55Pe1Wkd4rS0NLA/Kyur2R8c7NIV2DU1NUKhsNnp3CGw4+Li4uLimgU2OB4uJnHq1CmBQEBdUysxMZHaq0+j8nI8JQX381PfsqW9+zt5srIfe/t2/MGD5pNF0l5ggWrqrXSZDE9JQb+HkJDeTimB3V08srsS2J90V9P6E2PTT7qbBhKsemkW2N0ssFlgNzU1OTk5JSQkPHjwAMfx3NxcuBrS69evXVxcDh48eOzYsX79+oHwlOV4JtGmAwgKu21JYlqHuLGxcefOnTNmzBCJRDt37iS+pROwW3CVJF2BvXLlSk9Pz2YPo+0SZ1nU8vHjxxiG5ebmgpc3b96kBfz27dttbW21LCoSEhISkk7iMATWyhhak9lBENXdzQK7mwU1C2wQmQGS4Ti+cuVKIoDj4+MjIiKioqLgDWD245lETefFixcWFhYHDhygPZ4J2FDR0dHffPMNcU+zXeLW1tawS7wNgF1XV0ddl+z169fu7u60Q8Oox0ulUrhu5urVq5sddDZw4ED4YFteXh5thD1v3jytImwkJCQkJN3FoUU1Ic4O7G4aaAyjajW5g7QB9vPnzyUSCRgUduvWrY8//pgI4Pz8/D59+vTr1w8+vMt+PJOo6eA4Pm/ePBcXl+PHj1dXV584cWL69OnwLVpg//jjj/v376+pqSkqKvLy8lqyZAnxXeqgs+joaKlUeuXKlaKiIk9Pz6ioKLC/pYD95MmT4uLiXbt2YRh28uTJ4uLily9fwnd9fX2paDxz5oxQKKytraWmRj1+/fr1Dg4O+fn5586dc3JyavaxrtTUVCcnp99//x0MBgT3+x8/fhwdHX3ixInLly9nZGSYmZlt2rRJv/oiISEhIbGLA0aTGdM7ULM/HEbYQcDa3MM+dOiQm5ubq6trUFBQWloaEcBNTU19+/bt06cPcUgzy/FMok2nqakpOTnZxcVFJBK5ubklJCTAt2iBvWPHDi8vL7FYbGtrGxkZCR/TkkqlpHvhoHZ//fVXZGSkjY2NtbX1zJkz4eNnLQVs0E1NVGVlJXyXFtgzZ84cO3YsbWrU48HEKba2thKJRJuJU169ehUfH9+nTx9zc/MJEyaAXpDnz5+DB9hAI69fv16fqiIhISEhaSGOMfmOtao/3EyT1gROswC7oqICw7DGxsb2qg8SEhISEtI7KVpgB0KresKVfeCaHkUE9v379+vr6xcvXuzq6tq+VUJCQkJCQnr3xNG8Y62+aW1sSr5j3d2MjG0isP39/TEMc3Z2PnnyZPtWCQkJCQkJ6d0ThzIUPJB86xpwWgPVo4DRXOLvmJIYxD5vGhISEhJSG4hjTAU2cTQ45b41pDUCNhISEhISUpuJQzcanBBbI2AjISEhISG9BeLQdYMHaRNetxew586du3jx4jdJISUlJT4+vqXK81aJ+rz426l/Sjn1EOn8DA4OXrduna6JUNvHysoKPN1XWlrK9F+bN28mLnLzr5J+7Uyrd/j6gPRPF4f87JYp9Y41Daq7m43qbjaaBOzY2Fj40DBcL7llVVdXJ5FI4JyjX331FXXO8HHjxmVkZGAYtmrVKnDYqlWrMAyD3+cHDx5IJBIt5/u8e/fu1KlTJRKJmZkZWC8S7B83bhwpX5aVQP/8809wjEAg6NOnz/Tp0+/d0/+HDpj+jPato0ePwvnIWlY61bdZtV45W1As7cwk0vmJ6wsS2vZ5/vz5mwP74sWLISEhdnZ22kx5C6ZVIMrU1BTM6Mck8Hy/nZ2dra2tNs/34zienZ3t4eEhFov79+9/+PBhsHPatGnEfIlzItGKqZ1p68teL52uD0hIbSkOObamDAVnojUV2LW1tcXFxadPn249YKempk6aNAm+rKioKC4uLi4uHj9+/NixY8F2eXl5RkaGi4uLTCYDh8lkMhcXF+L3+euvv16xYoU2OY4aNSo4OBjM8JWZmQlXoxo3blxoaGgxQSwXMgDsnTt3/vHHH4cOHXJ3d58wYYI+9cdxXC+QvLl0qu+7IT3amXR+4i0a+bUIsE+ePLlkyZL169drA+xXr14RP/HQ0NCvv/6a/V82bNhgb2+fn59/9uxZR0fHZmfQO3z4sIWFRUZGRkFBwYkTJ+B1Y9q0aeHh4TDrZn8dMrUzbX2brZf21wckpLYUh+a+NXVMuDkV2DQRNhD49Qq/ePv27ZPJZGZmZnZ2drNmzQJfvKtXr4rF4j///BMc8+jRI1NT04KCAqbjoXx9fbdt20atRlhYWGhoKHyZkZERGBjo7+9fXl5eVlYWEBAQGBhI/D5nZmZ6e3s32zqPHj3CMIy0NjaQlmtdAwFgw0XAVq1a5ejoCLaZZkYbM2ZMfHw8mEdMLpeDa01ZWRm1OwEcn5ubC/YQu1KPHDkyaNAgHx8fZ2fnzZs329raBgYGgiHfTU1NS5YscXJyMjMz++KLL6qrq9mrwFRf2nKyfL605QQKCwuLi4tLSkqytbW1srLaunUrjuNPnz6dNWuWRCKxsbEJDw+HM9DR5qtHfXVtZ3ZRz8/g4OD4+Pjhw4ebmZmNGTMGzpPP9LmztA8tsBsbG8ePHw+6fxISErTsEtdj2daXL186ODgcPHiQ/TCpVJqamgq209PTm52jfsSIEbSz30+bNi0pKUn74jG1MxBLfWnrpeX1AQmpjcUhrOdBja3pOQ2tDbAzMzNzc3MrKyvBHNTwou/u7g7mDMdxPCcnx9XV9fXr1yzH4zj++PFjprUjaYGdnp6enp6elpa2evVqErCvXbsmEAggUZgEFhGhjRL0Bvbdu3c/+eQTGGGzALtfv363b99++fIlKS+WyI907/PIkSMWFhYlJSWffvqpp6cnmJ4drEC6cOFCX1/fgoKC27dvh4eHN3uhZwE2bTmZPl/acgKFhYX17dt3xYoVT548qa2tBcuhxsbGSqXSwsLCoqIiDw8PuL4Lbb561Fe/dqYV7fkJ1oo9ePDgrVu3Pvvssy+//BLmyzKFLW370AI7NDR05MiRoOfGysqq9YCdm5vr4ODA/oAf7Spwjx8/Zjr+xYsXIpEoMzPT19fXwcHhm2++gXcTpk2bZmtrKxaLnZ2dV61aRTx5aMXUzkAs9aWtl5bXBySkNhaH8gTXKPZucLXNtQI2Ubt374brQ8+fP3/KlClge+rUqbTLZxGPx3EcLNtM+u0MRAvssrIyuVwuk8nKy8tJwL5//z6GYVevXm22gX766Sdzc3N3d/fvv/8eXolwyj1dd3d3lkQAsIVCoUgkwjBMoVDAqxgLsOPi4sD2tm3b5HI5TE0nYIMpxBctWhQREYHj+NixY3ft2vXixQtLS8tz586Bwx4/fiwQCFjWw2apL1M52T9fJmATq4nTrYpmY2MDV0Wj5qtHffVrZ1rRnp/BwcFhYWFg+9KlSwKB4P79+3gLAfvx48cikSgvLw+81OaHF7FqOgH7yy+/hA3FJLjOemho6JQpU5pdZ726uhrDsMGDBx8/frygoGDYsGEhISHgrV27doGda9asEYvF8FYUk5jaGYilvrT10v76gITUluKQ5zKjDa/NRwFCdzcfrWuEffnyZfDjF1zoXVxcwP5Lly5ZWlo+e/bsxYsXNjY2IAxiOR78C4ZhtD97aYGN47ifnx+4k00C9rNnzzAMAzFcs2psbMzOzv7++++trKzmzJkDdpLu6f7xxx8sKQBgb9++vaioaM6cOU5OTmDBb5wV2GlpaXA/8YeLTsD29/fHcTwlJQXEjiEhIZmZmWABb5LYW4OpvkzlZPp8acsJFBYWRgri2dcdp+arR331a2da0Z6fwcHBcPAjuMMCbg20CLBJPxHWrl3bSsCuqalh6twiCgI7Li4uLi6uWWCD42E7nDp1inbZ1sTEROLSNVOmTBGJRCKRiDhcgKmdgZjqy1Qvna4PSEhtJo4W3eCju5urmK2Krbubj+5uHswC7EuXLuE43tTU5OTklJCQAPiUm5sLV996/fq1i4vLwYMHjx071q9fPxA2sRyP4/jt27cxDKuqqqJWgwnY+fn5oCOaBGxQSHbKUnXkyBGhUAguKHp3ib9+/drb2xsu3zl27Fh4wdq5cycR2EwX9DcE9k8//QQARhzM3KxYusRpy0n7+TKVE4i6iho7sKn56lFf/dqZVrTnJxUkYEgE0+cOpBOw4Vo7GRkZrQTslStXenp6NnsYbZc4FcBQjx8/xjAMPnlx8+ZNWsBv377d1tYWvqytrS0tLS0tLSWWn6mdgZjqy1Qv/a4PSEitLQ5E9QcMwP6A1BNuNvoDs2ASsIl3gMDF8ebNm7jqFzSMAFauXEkEcHx8fERERFRUFLwxyX78q1evLC0tT58+Ta0GE7ChSMD+/fffzc3NiStMa6MbN25gGAYWnH6TQWc//vijvb398+fPcRyfOHFiSkoK2L9mzRptgF1UVIRhGO0gbS2BDe7NHzhwQPu66wpsnO7zZSonEBXY1C5xa2tr2CWuPbBZ6qtfO9OK9vwMDg6eOXMm2L506ZJQKHz48CHO/LmztE9TU5NAICgqKoJ7njx5IhKJYIAYFxf3hsCuq6urq6sj7Xz9+rW7uzvt0DDq8VKpdPny5WB79erVzQ46GzhwIHyALS8vjzbCnjdvHnUxWZKY2hmItr4s9dLv+oCE1NriaDvKzJzoYGAI7KNHj4aHh589e7akpGTGjBn9+vUDz18+f/5cIpGAwUdgBBARwPn5+X369OnXrx98yJL9eBzHx44dC39HE6UrsFevXh0cHKxNAwUHB2dnZ1+/fj0/Pz84OBh2mVIfcwIAphUJ2E+ePLGxscnMzMRxPDk5OSAg4Pnz542NjZ6entoAu7GxUSgU7tu37+nTp6TBMloCG8fxefPmubi4HD9+vLq6+sSJE9OnT2dvB6b6spST+vkylROIdp3y6OhoqVR65cqVoqIiT0/PqKgolvbRo776tTOTqOdncHCwlZXV4cOHb9++/dlnn8FeXKbPnaV9cBz38fGJi4urq6uDNJoyZUpYWFhTU9OdO3ccHByaBfaTJ0+Ki4t37dqFYdjJkyeLi4uJWKJdZ/3MmTNCoRD8TiWJevz69esdHBzy8/PPnTvn5OTU7GNdqampTk5O4LHJoKAgMBr/8ePH0dHRJ06cuHz5ckZGhpmZ2aZNm9jTYWpnlvqy1Ev76wMSUluKo+0QM7Pg7mbB3c1Gf2A++gMKsCsqKiZPnmxnZycWi318fM6cOQMzOHTokJubm6ura1BQUFpaGhHATU1Nffv27dOnD/FqyHI8juPbt28PCAigVkNXYA8bNuznn3/WpoHmzZs3ZMgQsVhsY2MTEhJSVlYG9lMnEikpKWFKhARsHMdnz57t6+uL4/iDBw9GjRplZ2cXFBS0dOlSbYCN43haWlqfPn0wwuNGUqmUVJ6amhoWgDU1NSUnJ7u4uIhEIjc3t4SEBPZ2YKovSzlpP1/acoK3aIH9119/RUZG2tjYWFtbz5w5Ez7mpyuwmeqrazuzi3p+gseNhg0bZmZm9vnnn9+9exfsZ/rcWdoHx/Hz588PHDgQIzz01dDQ8OWXXzo6Ovr5+UVGRjYLbNBNTVRlZSV8lxbYM2fOHDt2LG1q1OPBxCm2trYSiUSbiVNevXoVHx/fp08fc3PzCRMmgN6158+fgwftwIe1fv169kRw5nZmqS9LvbS/PiAhtaVYgE2IrUFPOCG2JgG7zfT8+fOPP/64uLj4TRIpKSlxcnJ6+vRpS5UKCQmoRc5PpPYVuj4gvbXidDcPYg2syd3g3c2DP7AI/sA8+AOLdgA2juN79+7dsmXLm6Swbdu2nJycFioOEpKG3vz8RGpfoesD0lsrDl1UrYHtD1S3rj8wDyYZrdaFhISEhITUNuIQph2lxNbk4WbB3c2DlTewLdotwkZCQvpnKYlBWg7lQ0JCAuIon7FmwjZhiFl3VWDd3QJsf4qAjYSEhISE1DbidDenzIuiEVtr0toi+AOLT6ERsJGQkJCQkNpGnO7mo5WTj5qzdYN/YP6p8tY1BDaKsPXS3LlzFy9e/CYppKSkxMfHv2ExrKyswFMutMs1Mj0H/A8SqZ31W+aS2g7s7QakzTKXb5tacBnQFlTLnoet/blomX6LfH+R/p3iaMyIQhhiRgqvu1sAZitRDTZIwI6NjYUPO7bSetgk1dTUEPMqLi4mPVdKK9opJ+/evTt16lSJRAJWKoTTJeohlikt6+rqJBIJnCPzq6++wigaN25cRkYGhmFwCo5Vq1ZhGAavpw8ePJBIJNrPK3nhwoWgoCBzc3NbW9sZM2bA/SzrKx89ehTOP6W3tJ/ac+XKlaTVUzw9PZcuXcreDiwitTOuL5Bo26FF1qVeuXLl0KFDxWKxk5PT4sWLSXdz//7776CgIIxhqRuSsrOzPTw8xGJx//79Dx8+DHZOmzaNeFJR564hial9wHPVdnZ2tra21OeqdSqnHmqR8xDqLQG2rt9fJCQoTWDDIFvzeevuFmCU2afE8PoDi89IwK6trS0uLj59+vQ/EdijRo0KDg4GMy5lZmY2uzqQrukDpaamElcsqKioALOGjR8/fuzYsWC7vLw8IyPDxcUFLFuC47hMJnNxcSFeT7/++usVK1ZoU5irV6+am5snJCRcvXr13Llz3377LXyrWfC8obQHdmFhIYZhd+7cAS/v3r2LYdiFCxeabQcmkdoZb9EIskWAHRwcvG3btkuXLv3888+WlpbJycnEd8HMP9qA8PDhwxYWFhkZGQUFBSdOnIDfhWnTpoWHh8Np6UjrytOWh7Z9NmzYYG9vn5+ff/bsWUdHR9LMZdqX823QWwJsXJfvLxISURwVlZUh9QdwHDgxtgbhtYUqwlaaDGwg0mpd+/btk8lkZmZmdnZ2s2bNAheOq1evisViuK7Ro0ePTE1Nweo6tMcziQXYT58+nTVrlkQisbGxCQ8P/+uv/2/v3H+aOv84zr+g/nZ6WS9IAcF24IIMO1FwIF4Os1DE26KiEhXQiJGsTATjwuIlruBiSHaTjLF4AR3JVLwkRhFMLMwqnYIUL0TirCwrDJCm5/vDRx4ezjnPaU/Vze98XmlMe3p4+vFznue8z/N5Lp8hjuPcbrewO8uJZQtAsCy7ffv2tLS0GTNmrFixAnXaZJWPSE1Nra2tFf6K6E5t6enpvb29brd74cKFvJ3a6urq5s+fL+EZxPr163Nzc0W/EhWepqYmsJwXivT5fJWVlSaTSaPR5Obm9vX1wXGr1VpaWgr7UqWlpUG/IaAfePj9/pkzZ/7888/wsaGhISoqyufzBfQDCaGfYSesRYsWaTQaq9WKBIa00xnJDyS/eTyeVatWQXimrKxMljDs2rUL3x/N7XZ/9NFH8OAbUAgXL14suht2fn5+eXl58DaQ/GM2mw8ePAjvq6qq8L3BZdkpSnNz84cffpiSkhIXF/ftt99GRkayLAvBBlH/Dw0NJSYm/vDDD/Dx2LFjH3zwAew9Tqqfsq6LhD2i7V2ifJI9QPDtl0LB4Qv2xNYo47ujTNVPHrrWZ03VyxDsurq6pqamhw8fwl7BKIFEYmIi7BnOcVxDQ8OsWbMgRz3pfFEkBPuzzz4zm82//fab0+mcO3cunn9C2POD5BCi+x6zLBsVFdXb2zs2NrZlyxaU41lW+YDX6yXlKBQV7KqqqqqqKrvdXl1dzROqzs5OhUIhmmkUx+/3R0REfP/996LfSvQUhWOH+/btS01NbW9v7+npwfMuW61Wo9HY09Pz4sULXoIQWdmuCgsLCwsL4X1xcXF+fj4XhB9EEfUz5Gw9e/bs/fv3s7OzV65ciex/9TSXHMdt2LBhyZIl9+7dO3fuXHh4uCzBLioqQvEACDKfP3/+5s2bAYVwdHRUpVLV1dWlpqbGxMRs3LgRPVDm5+dHRkaq1eq4uLivvvoKGpcEov4Rzb4Fqdxl2UmiublZp9O5XK6srKzk5GRIH4BnYhX6v7W11WAwPHjw4PHjxwaDAaVaIdVPWddFwh5SeyeVT7IHCLL9Uig8wrCe9DJYr4Wv4Jok1ROanT1Vlz1VH5Rg4zQ2NqLkGXv37kXit2nTJuEm0rzzRQHB5vHw4UNhlqeIiAiUdklUSH788UetVpuYmFhcXIzuUBzHsSyLGuetW7fUavXg4GAI5XOC7MU4ooLtdrvT0tI+/vjj3t5enlA9f/6cYZg7d+5IOIfjuD///JNhGDSuySN4wR4dHdXr9W1tbfDR6/UqFApIg2i1Wm02Gxyvra1NS0tDfyVLsBsbG1Hu88TEROhtB/SDKKJ+tlgsW7duhfcOh0OhUDx//px7TYLt9XpVKtXVq1fho/AGLUF3d7der0f7zNfU1EC7CEYI+/r6GIZJSkq6dOlSe3t7RkbG6tWr4atTp07BwSNHjqjV6oBDPKL+QfmtN2zYkJeXh+e3lmUniebmZtiK/IsvvigqKuI4LicnBzUrjuD/8vJyi8WSm5uLKh6pfsq9LiR7SO2dVL5EewGCbL8UCo8wfJR6CupYo042GrrWZk3VvtRp9ApGsDs6OuDhHdQU3ZQdDoderx8eHh4dHY2IiECP1aTzRQHBPn78OAzUnT59GgRbIo8yRxYSj8dz8uTJ4uLi8PDwzz//HA7iCgE5PFwuV2jlOxwOhmFEH6tJyUsWLFgAI7g8oRoeHoZRXgnncK9PsOE/yAN+3Wq12u12OO3EiRP4A5YswR4YGFAqlffv33/06JFCoQBnBvSDKKJ+FuZLhiGY1yLYvEeEr7/+OkjBHhgYmDt3LhrO7O3tNRqNkD8qGCEEQUX2X7lyRTQ95Z49e/AUHXl5eSqVSqVS4cP8ov5Bgm2z2Ww2GxJsuXaSEE3WAlnsAJL/k5KSEhIS0HbfpPop97qQ7CG1d1L5Eu0FCLL9Uig8wsalOgtp9sRu4drxGPj4oHXwgu1wODiO8/l8JpOprKxsYGCA47impiaUfcvv98fHx589e/bixYtGoxG6pxLni0IKiYcmqIjm5malUgk3PpZl0RghPBeHLNg9PT0Mwzx69Ej4FUmwW1paoO/FEypw8r179yT+FxzH+f3+6dOnozE/HnIFG590jZAQPFmCzXHc4sWLjx07Vl9fj2aZBfSDKKJ+FgoSTFnIyclB9h8/fvxVBNvj8SCzgxHswcHBRYsWlZSUoCONjY1KpVKj0Wg0mvfee49hGI1Gg4b2hXi9XoZh0IqG7u5u1APGqa+vj4yMRB+fPHnS1dXV1dWFT1QW9Y9oSPyvv/6SaycJiexqgKj/3W43ZG9D9Z9UP+VeF5I90oItLF+ivQBBtl8KhUfYFF3WlIlwNxq9nli79VKeJ0s1T7DxRSlQWbu7u7nxHgBSssOHD+MCXFpaWlRUtHPnThRzlj5fCEmwhSGs6dOno5C10+lkGAZ9FHL37l2GYaADwbIsChVev35dpVJ5vd7Qyh8bG9Pr9WjUDUduetDr169rtVo8kzGJtWvXovFaHj6fT6FQOJ1O4VfCkLhOp/v111+FZ0oIdkA/8zh06NDGjRsLCgoqKyvhSEA/iCLqZ4vFUlBQAO8dDodSqYSU0p9++umBAwfg+JEjR4IRbKHfBgcHVSoVGjW32WwBBRsySG7evBn3j9fr7RoHwkVtbW14j7m/v7+/vx8vZ/bs2Wjh09WrV0V72BUVFcKkmTxI/jGbzYcOHYLj1dXVMOksoJ0ejyeYPncIgu3z+ZYsWVJRUVFZWZmeng53HlL9lHtdSPaQ2jupfIn2AgTffikUnJeCPWVCrYUj1phsT3pZkWBfuHChsLCwtbXV5XJt2bLFaDTCes2RkRGDwQCTy2AGBy7ALS0t0dHRRqMRLRKVPl+IxKSzkpISs9l869Ytp9OZnJy8c+dO9Fcej0epVP7yyy9///03etSwWCwnT578/fffW1paLBYLCu0ayep0AAAD8ElEQVSyLAuTcbq7u5ctW7Zu3To4Lrd8ICcnB/VjcOQKdnV1tcVikfAMwul0ajSa8vLyzs7OGzdu7NixA/82JSXFZrP19/fD3RkhvFFWVFTEx8dfunSpr6/v8uXLmzdvhuMSgi3hB1Ha29tjY2Pj4uLQ4F9ogs2J+dlisYSHh58/f76npyc7OxtFg/fv379w4cKRkRGPx5OcnByMYHNifsvLy9u6davP53v8+HFMTExAwV6zZs38+fM7OjpgNOfu3bu8E0RDzcL80wcPHjSZTLAcMTMzE2bje73ekpKSy5cvd3R01NTUaDSab775Rtoekn+OHj0aExPT0tLS1tZmMpmEEzNF7YSpiNK/yIUk2Ha73Ww2j4yMvHjxYt68eehhi1Q/ZV0XCXtI7Z1UPskeIPj2S6HgTAj2RFQcda+1WDBcoNa4YD948GDdunVRUVFqtTolJeXatWvoB86dO5eQkDBr1qzMzEy73Y4LsM/ni42NjY6Oxu/mEucLkRDsoaGhbdu2QeisoKCAtzzMbrdHR0cz2HKjioqKOXPmqNXqiIiI1atXu91uOM6y7O7du9PT02F5xh9/vBwCkFs+UF9fjy/gQcgV7IyMjJ9++knCMzitra1Lly6FjVNQtAC4cePG7NmzGWzxjNls5o29QeDU5/Pt378/Pj5epVIlJCSUlZXB+dJjwCQ/iOL3+2NjYw0GA6oPIQu20M+wbCkjI0Oj0Sxfvvzp06dwfGBg4JNPPomKisrMzPzyyy+R/SQ/kPz27NmzlStXzpw5c8GCBdu2bZMWhrGxMV7hwnoepGCPjY2VlpZGR0drtdo1a9bA+dB9NxgMcLGOHj0a0GMk/8DGKZGRkQaDQbhxCsnOjIwMUD5pJARS1P+dnZ06nQ6fH6PVaqGDS6qfsq6LhD2k9k4qn2QP8k/w7ZdCQeAh8ezJ+6KgRVziao0L9n8YlmVrampeV2kjIyPvv//+7du3X6UQl8tlMpnQjBuKkNfiZ0poDA8Pq9Xq06dP/9uGvKXQ9ksJGTwknj0pEq4l9a2pYL8SZ86c+e67716lhNra2oaGhtdkzn+WV/czJTSuXbuWlJQU/NyFdw3afikhE4apdTZ/6JrfvbbyXlSwKRQKhUL5ZwjD4uHZ45uiSPWtp+mt094lwaZQKBQK5W0gbNIaa7TSGv93cvd62jvWw6ZQKBQK5W0gDMXDp+GaPWmPFKtoPJwKNoVCoVAo/xhhfJHWWafqrBITzcZfOdP0OULBVqlUDMPwluL8K4SHh8NqkDeUPpJUPr7M6f+RqqqqN335LBYLuC6YxdmUtwGXyzVv3jylUjljxgz8uHCd9JtudxTKu8z/AARI5UOtOkDKAAAAAElFTkSuQmCC" alt="" />
Hadoop 安装记录的更多相关文章
- hadoop 安装过程记录
1)首先配置好了四个linux虚拟机 root pwd:z****l*3 关闭了防火墙 开通了 sshd服务 开通了 ftp服务 配置了 jdk 1.8 配置好了互信 (之前配置的过程忘了!--检查了 ...
- Hadoop学习记录(6)|Eclipse安装Hadoop 插件
下载 https://skydrive.live.com/redir.aspx?cid=cf7746837803bc50&resid=CF7746837803BC50!1277&par ...
- 转载:Hadoop安装教程_单机/伪分布式配置_Hadoop2.6.0/Ubuntu14.04
原文 http://www.powerxing.com/install-hadoop/ 当开始着手实践 Hadoop 时,安装 Hadoop 往往会成为新手的一道门槛.尽管安装其实很简单,书上有写到, ...
- Hadoop安装教程_单机/伪分布式配置_Hadoop2.6.0/Ubuntu14.04
摘自: http://www.cnblogs.com/kinglau/p/3796164.html http://www.powerxing.com/install-hadoop/ 当开始着手实践 H ...
- Hadoop安装教程_单机/伪分布式配置
环境 本教程使用 CentOS 6.4 32位 作为系统环境,请自行安装系统(可参考使用VirtualBox安装CentOS).如果用的是 Ubuntu 系统,请查看相应的 Ubuntu安装Hadoo ...
- 新手推荐:Hadoop安装教程_单机/伪分布式配置_Hadoop-2.7.1/Ubuntu14.04
下述教程本人在最新版的-jre openjdk-7-jdk OpenJDK 默认的安装位置为: /usr/lib/jvm/java-7-openjdk-amd64 (32位系统则是 /usr/lib/ ...
- hadoop安装过程中出现的错误
此次来记录一下我在安装Hadoop安装过程中出现的错误,安装过程参照慕课网林子雨教程进行安装,在尝试过程中出现的错误如下: 1.在安装Ubuntu时,新建虚拟电脑时,并没有在版本的输入框中有Ubunt ...
- Hadoop安装教程_单机/伪分布式配置_Hadoop2.6.0/Ubuntu14.04(转)
http://www.powerxing.com/install-hadoop/ http://blog.csdn.net/beginner_lee/article/details/6429146 h ...
- Hadoop安装教程_单机/伪分布式配置_CentOS6.4/Hadoop2.6.0
Hadoop安装教程_单机/伪分布式配置_CentOS6.4/Hadoop2.6.0 环境 本教程使用 CentOS 6.4 32位 作为系统环境,请自行安装系统.如果用的是 Ubuntu 系统,请查 ...
随机推荐
- 理解Objective C 中id
什么是id,与void *的区别 id在Objective C中是一个类型,一个complier所认可的Objective C类型,跟void *是不一样的,比如一个 id userName, 和vo ...
- 关于$.getJson
这是一个Ajax函数的缩写,这相当于: 1 2 3 4 5 6 $.ajax({ dataType: "json", url: url, data: data, success: ...
- EF 学习笔记
1.EFcodeFirst如何使用存储过程!public string GetCoupon(int type) { using (var db=new ProbabilityContext()) { ...
- python字符decode与encode的问题
同事在工作中遇到一个字符编码的问题:问题是:从mysql数据库中读出来的varchar类型数据在python是unicode类型的. 但他却对这个unicode字符进行了decode,因为他以为读出来 ...
- python随笔
1. 使用iter实现接收用户多行输入 stopword = '' str = '' print('请将要添加的内容输入下方,输入空白行按回车退出程序:') for line in iter(inpu ...
- 删除目录下所有gif的图片
find -name "*.gif" -exec rm -fv {} \;
- python构建模拟模型——网站独立访问用户数量
背景:发现一个有趣的现象,即一些用户在每一月都仅仅访问网站一次,我们想要了解这些人数量的变化趋势. 建立数学模型:简化问题,根据瓮模型推导出公式(具体推导见<数据之魅>,有时间再补充... ...
- 作业1-我的第一个博客&GuiHub简单练习
自我介绍 姓名:苗中峰(不要问有什么含义,翻着字典取的名,翻到什么字就取了什么字) 性别:男(不解释) ...
- 4、C#基础整理(if语句经典习题)
1.用 if 判断输入的是否是空格键的方法:(Console.ReadKey()的用法) ConsoleKeyInfo readkey = Console.ReadKey(); Console.Wri ...
- Unity3D ShaderLab 漫反射卷积光照模型
Unity3D ShaderLab 漫反射卷积光照模型 漫反射卷积[Diffuse convolution]是一个模糊立方体的过程,它保留了立方图的整体光照强度,只模糊了细节. 这种效果在我们要活得一 ...