Hadoop集群搭建

配置IP，修改主机名，关闭防火墙，配置SSH免密码登录

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dtzKvjgnaRmRy6KDPKWZ+xqGLQKkeBl+bp3jgKAIc64+LiZbVxFHg2nsGNo6syGfM/A75mgl/SGKUrsywlkxn9o1YldcqFZqdk/rYj8+nyapUzmmWAqjrqff+Mc68fBCx+61vl+NRktVYdL91+RP3LAUEjo/hiIWMOGcafatZhW76v1rlbUtCOTrwOx9I/X1fju7iCi83YaEdenZNtox0T7Jw8Xo2jwEvzdG8cBYBDnXFx8bLaOAo8G8/gxtFVmTVFThXZSya9nTFFySRnMXVU1tRlkpJVLL66bsyra8KZfVnMDLN3qjee6MgIXuLR9Tvmhe9Fu36lWleUMFaq8dGJi4WoMV2NCtZOjZHFjDRoQB5KdFV4iJ58/v5cGb0xHtSSsCO7XuzFOCY6bPygRJ8F1HgdcIewzfUSFo4CL83TvXEUAA51xsXFy2rjKPBsPIMbR1cpa4qDM0WMxzWxUboSedXt2D+RPEXBLnXMYkM9V3Z/s7ovr85O6UGXy0U5cY6yyq7A0PVrUW1V0ijpxMVCxqEO0cSuKB1WW7WYkaq6cahXqFXZgNnozeKixsxeXbHYC3U247rEs8HXq9n+OuCKYKPbkP/hKPDSPN0bRwHgUGdcXLysNo4Cz8YzuHF0lbKmOFiZ25jsLSZskRi//XqrqZTK6bIaZT6hi0dOtS//qRmsCr+bV2eqFkfq8ZhX65SxwLCeVYpSxC5D1ripm3p8bcSgnrX4cUN3RfJ6db2INuxIbqtZT9dHQG0e2zOT7a9yzKOz17JuP5MuK/NEVefMrAOuA7CRx7pxFHhpnu6NowBwqDMuLl5WG0fx/4nba+6Pd/AMbhx9RM3i9FgyexltPCwtflG50ZhXj2YZYMgkcNSl01Xt4IqcseOALKZ8daglejRO+zysFrtY1L4hTWqkyh+tjOqBoiM7KqozYRxA3OWxaxwFXpqne+MoABzqjIuLl9XGUfx/3iL1env7Zp5wQp7BjaOPGBObyOe2ZMuLOeHhvv+t7D9LOf9Kei9xgbpxXvyW+xnVDw62TLnOdz6vOTmNeXIUeGme7o2jAHCoMy4uXlYbR/E/ibvpj/frD+XezTHQ8QxuHAWAOa8XjaP4t+mDpGrHp1Fn5lFrHAWAQ51xcfGy2jiK/8n75+/Pd/4C7R6ewY2jADDn9aJxFP+8t/fP7jcvvMDPrfw1nu6NowBwqDMuLl5WG0efWf2JylB/NrL+E9P8Qjj/gaJ2ZX0Qrh83zaL0Up6eZT5aoA5Y8R6HfF7/c/kVVfzszxW/GI15chQA5rxeNI7in1fz6sCH0Q/xdG8cBYBDnXFx8bLaOPq0ItF9f4v81ptr7LWZ7sZLl1/x2MlqpLv1Z62vu3Lkvm/vt2z691uktbd/yNrt1tfXSlK9o8B116+q258myoqwhWdw4ygAzHm9aBzFP2/Mq+tTrPN0bxwFgEOdcXHxsto4+rQi1/24/Eluq8h7a6Y6ZuCLvxQqXn6LFLfF329fKOvxvgJX3HJ2Fxg3DTVLx12ewY2jADDn9aJx9DRin3LPb7od7V/+8a6aV2//5BqiMU+OAsChzri4eFltHH1m2qe7jVnfAKuPqR5zy5GXu5/7d9wWfL77FuE7Bc7U247AT7U9xKPWOAoAc14vGkfPIXac5/3xrkzIw6MfYcMD1zgKAIc64+LiZbVx9PkpR81EV2lw7vGj2MxnaXDeEFziUdu8v1PgTC0/Gs0/sX6IZ3DjKADMeb1oHD2H2HCe98e76vfV2o4f3XDPzNO9cRQADnXGxcXLauPoq6jJbfcBeaceOYpzP97fPt6/7PrfKXCR/nG1HutGod6IYJ1ncOMoAMx5vWgcPY3n/fGumleHqO7t19tDmfmZ+Ro0jgLAoc64uHhZbRx9WrHX1lw0duv6g211370d+CcrXt/X49Xr4HzNcr9T4CjuL97fonx/fh+iLyt5OzqawMlRAJjzetE4ejKxeT3dj3d1eXW0O1L1lSpQebo3jgLAoc64uHhZbRx9WkqAU/dPlHX30L0U27MisvivmmPPXvyp7N0FduJlfZyfNwrZkUfvNk5Lw5UcBYA5rxeNo6dUk9t//8e7urxaezF59Uae7o2jAHCoMy4uXlYbR4Fn4xncOArg5fhNfsTb3AU1jp5DpKY1EY3k9ll+vCvUvFofTHc/zY4Vmu3JUQA41BkXFy+rjaPAs/EMbhwF8Fr8Di/8wi4uonH0HJQAp2f58a7w6/bnuKqNJ0I8ao2jAHCoMy4uXlYbR4Fn4xncOArgtfgdPvDLD/LJjaPAS/N0bxwFgEOdcXHxsto4Cjwbz+DGUQCvxe/wOR+3jc9pHAVemqd74ygAHOqMi4uX1cZR4Nl4BjeOAng5fpOv8qH3+OjGUeClebo3jgLAoc64uHhZbRwFno1ncOMogBflt/oqHzrn4xpHgZfm6d44CgCHOuPi4mW1cRR4Np7BjaMAXprf8Kt86BIf0TgKvDRP98ZRADjUGRcXL6uNo8Cz8QxuHAVwAn7br/KhX/m1xlHgpXm6N44CwKHOuLh4WW0cBZ6NZ3DjKIDT8Jt/lQ9tHG0cBV6ap3vjKAAc6oyLi5fVxlHg2XgGN44COB+vAqsWj1QQeG2e7o2jAHCoMy4uXlYbR4Fn4xncOArgrLwWPMJnAi/N071xFAAORV7N8opn5RncOArg3LwibONzgJfm6d44CgCHIq9mecWz8gxuHAWAzdm1jwZemqd74ygAHIq8muUVz8ozuHEUABqvDnM+Dnhpnu6NowBwKPJqllc8K89g4B7PGJyV58ESHwG8NE/3xlEAOBR5NcsrnpVnMADs5dUEeGme7o2jAHAo8mqWVzwrz2AA+AYvKMDr8lxvHAWAQ5FXs7ziWXkGA8A3eEEBXpfneuMoAByKvJrlFc/KMxgAvsELCvC6PNcbRwHgUOTVLK94Vp7BjaPAV54fwBLPEuClebo3jgLAocirWV7xrDyDG0cBYM7rReMo8NI83RtHAeBQ5NUsr3hWnsGNowAw5/WicRR4aZ7ujaMAcCjyapZXPCvP4MZRAJjzetE4Crw0T/fGUQA4FHk1yyuelWdw4ygAzHm9aBwFXpqne+MoAByKvJrlFc/KM7hxFADmvF40juIInzG8b++f729+fhAV+/vj4ud4nKd74ygAHIq8muUVz8ozuHEUAOa8XjSO4giRU2tU398vv3696XEVod+f7z564v0zrtFbPVJ5dZx+eMZ+Hhr/5CgAHIq8muUVz8ozuHEUAOa8XjSO4tuUD0c+/fv3hx6/v8XjSIqvPq4jHy/+ql87Xz76yyEfcebb+8flz9X5dfnYkpNjxiPbOAoAhzrj4uJltXEUeDaewY2jADDn9aJxdI4vS/Nb6KrLcpU2K6mOp7O8ukYqvdqVqUKirkjFT5JX64OGHMYD3S7aH44CwKHOuLh4WW0cBZ6NZ3DjKADMeb1oHJ3LrPLMP4SsfC+zYo1JJro1qY4jI/7+8a6UuDPLqzNtrvlzTc5PkldHNzVQh/9jchWbHAWAQ51xcfGy2jgKPBvP4MZRAJjzetE4OhGp3Vvkh9d/7Ute/Scrjv/pO/xbHh0vOanW44hfrt89b/2+Wlm6MsksOUb7bHm1+v72M5MtyqwcBYBDnXFx8bLaOAo8G8/gxlEAmPN60Tg6EelcZDj6FpG8usurx0Q3Byp/hLvT5dWZh4/iZH3pfZ68Wh/iXN6vHyt0A/V9GtXkKAAc6oyLi5fVxlHg2XgGN44CwJzXi8bRJZFM6mvYHXn1mFjWTEl5qV8oL9WzPi5xiH8EXSmlkluJV2shaufukq9tWtXl1RqQ+nvFgo5RUNXVH2aOxl1+xdNrI6toiU5Rk9SReBwNW8+rX2yEQ9QepX1EZ8u/VD+KGpMcBYBDnXFx8bLaOPoPeI99afNG8vERB183s+1uxR/5affntf7H2iAP9RQznsGNowAw5/WicXQQC3SkN8oMH82rdW6mRotPM93qUtbwJUOLF25ZnGrXS3mwiuqe7it5XU04pTsrS474eHBn8R8PKxGtxdbOdnn14pA+9QiH6GNN5hdHabdbi/5wFAAOdcbFxctq4+hfF1tI3Y20l2z/jDb24Hr6Ftq2D9yrtKfuKDBasr2nSUMUvf6Mm4xb//3CD8t6/fyfcZu/fzgKAHNeLxpHB0py8nEcuX3J7ZKxzphAqvzcSjI3W9xc4uAur8vDvlnyii6BVEXZjCg2f4B5cZS0iWjXiyYtHpON1+jFg5ri1l6H1xth9UhnjbV8XxRYOQoAhzrj4uJltXH0/xAbUu6LsRt9XO7sIrHZ5G4Xjx/adbSvj1vdNbW9/rKVPWLHne3rHdVeb0r2bZkxYjox7zwUP1C07/PrgETkLYau3dCMdCex8TYiDr7EwbeB/ybP4MZRAJjzetE4+lW3TCl3emi9VT4m3dqo0kZZvlbUzOo7Klmv1j1UT1VUZ2PJK7q8OqiuKEplxkuxO9W6qjhHefXtS2U3PtRR6sRev/5z4C82wjrRxd3Uer/PhTaOAsChzri4eFltHN3rErvBPONaF7vXn93oPe5gvIVog+l2Sm3MGexS0/HHwmf736KurmjYlu+T47CNO1/0qN6l7c6r64ka+Y+9HwqkxYGqAxLdW8+rgwrZcjMRXeiqiHPrDVP0J26+6gEzKic5CgBzXi8aRweLC2OX2t2lbUvn5tKtklfWN+2As+VUZWbaWbeSb5a8Qqlm3e+0kteIjtFvAo8Hi2Jlv3z0GbKowNodtVZVdNtEepkRju5nB7UJbrkJ2e42Qn84CgCHOuPi4mW1cfRBmfwsbnWL6v4nsfdklvV+/Sw7Crs9vu2jl9ily6ai7UoHLKob/Ci2Q+2F1xKHXPTz9k+l01vsnW/3v4DdnldHN+ve3D2N1rz9unTDeLe/accWviIGqrYtRPfGvLrb8nVHVUdMl3ucHuN9iSKjrhkjH9c4CgBzXi8aR1dpjbq7Is10i6F2vZV1+25ulvtmt8B+v+QZrfB1v9OY1IiOyVGqjZltB5WOr4Os1qqKqG7l9BcY4ehg7qrqTlR09yZku1tv/nAUAA51xsXFy2rj6C6LCeFDYifeuHPErlOPjO2tT/+um7s3+E6cmtu/dqyVO6Q44OP9+k+77t5F1WJXxMuRl77dfv5tUbzwGXVeYhj/FBXb8/jz0rcxOHjSRgXROFWtpupDejeu0PHi0Aa1wVGXPo5J11uJr5m2jsk7jBUqITkKAHNeLxpHV2mNqjtC5l2L+1cs1PX4bk1T6lXP7ZLGu7lZLqTdMd8veUY9yv1OT0Mdk8Veq/Y4Z3tenb2o7ew68mIjrOrq7USOhp5+X5RWOQoAhzrj4uJltXF0l9gM9uXV118Yejur/vh3iL1kMaGKverz/cvtSxy5cctRrpiN7J6OVFc08G7O3B2jrXFsfxTY/dPxLY2Ps8a8OoLvbxG81hj/u0RHhrHaovt+PltYy0/xZByx2vE4K+4k1CPdDVxvoC7v473FeDMUKX0ceZ2H7TZlNoyj6/QtHAWAOa8XjaMTWtBSZlAZz4Wr0pKoA1I9UqucX7jRq+OJs5Uw0rl4daz9+yWPukFIXe3d8l7FVrGSV6svVbf5jqe/0girdzpFm6ZGUh5N0WdcXOMoABzqjIuLl9XG0V1ix9iXV+c+Wn/8O7y9LXzQG7tO911u2JKahnGnj1Lu5NXRq8/rfxb/2GZVN7+gTfR6wtefM+9+oD1saXxs0jWv1rfxNahdPIer7s1bdDcu0cZoUjYsCs8PMroRi2P0IGgErtcvjmi/t+ZyiVz5T8uTWpi3GnG02tDdvsRr1zLaYSvirMpRAJjzetE4im8bd9tQd8lxVc87gdmGWFP6LZsCZjyIjaMAcKgzLi5eVhtHd4ktbndePX4MHG7hTU0aU1NtwF2xEYzkLZLElZyzq1FpsJLAxUamOLDLTke3wvpCxsaPlDa7iTfRzpriqmvrtT8kCoz68mpes+RbI2ulHpZ2sH5iXB2MSDRSTaqP4yWJobj144voVN5aVeTVAH6C14vGUXxbrPB1B6m6zeVR3zwdwdO9cRQADnXGxcXLauPoLt/Jq139oMtylcj5tSJSPiVvSUlg/f3Ysc1fLm/dDzbXLFHqP8y+ZcFOg6P89ez3bl4dL3y8L99kZMlRY2SRY0WRV9cf+c426yMJnbWe9j+quyu6jt51elw/YqjJfAx1PIh0Ol59/4zr+PYZ1+x2jaIX2TAdmelxFBLHxIH6vKCOmyZD9kUlkFcD+AleLxpHgZfm6d44CgCHOuPi4mW1cXSXyHv+/vfVeW7UvvKj2iqqZqdSs8RR9y3xetocVawfkOJIlzhQAvkeFX/tyCyvVr8ia91Y9Uaq4vL+549sRwP049y19hQtjxbkcGVCHn2IPmWCnelx/E9TRaeQVwP4X3i9aBwFXpqne+MoABzqjIuLl9XG0V0yWfLzzXbn1bXGeDzLq7Ocmp3KYpaY6p/jXilfopZ9yW39vnqmDkVUkL+iLP4XaefhPxR3TZEnX4MvjpiO9BwajFlxFKLvtDvXjwfIqwH8LV4vGkeBl+bp3jgKAIc64+LiZbVxdJfIe3bn1a5+sJ5X11Q2au/yXv3SMD2Wh/Pqa2rpEpQKdklm9aN5tRJdPY4G1Z7G6NW08+P6jfLDbahuVbk9UXh3CboRi4NDXKnahjjrbo8kTv/Vft1alPT+/r6Yb5NXA/gJXi8aR4GX5uneOAoAhzrj4uJltXF0F+VIXeYZKdbdb1PjmMV89RaeNinSsJrodtlm0K/y9pObaOH2vDrOzr/kLOsJ8M/m1VH653v8R5cpK1IGG/9V5hmhxX/CvV3X67FT8ShHLB5fL8GtC/VKRXu6Rs6uY82rx6ch2sP31QB+iNeLxlHgpXm6N44CwKHOuLh4WW0cfZCSHxcRiVGU0zLVyKl+KK+Os2o6Gm3ovi2v3/FKBC5vb7ffsbUmKlXGqMc6N3PaWZPGFDRoZBZ7lxbz6vyb3uHWDx8QpecPgdcRiMfRtvdIvb/+ceyHRKH9d/7X//15GqIB4ycR0YVr7SWRjqfZaz1dHLdMpKOOyOff3r+cGCJOXg3gh3i9aBwFXpqne+MoABzqjIuLl9XG0b9LedeixWRMudaYrI7ldIluZHHd99WL6q8EX6QGuI4mmqos0c9vlBDq58kXz1qRyeT4a8zi+fhD6cr8x9x+u/WO5/CqYdnZeEl5dZfkd3n1eL1CHbHrl9q/Ll37NWg5FCtUSHIUAOa8XjSOAi/N071xFAAOdcbFxctq4+jf9X77iW0/KcZ/IB0HRT65JctaNBb474vM8/O9z0jrt9l/2eIY7s6r9VmAfqIhDhuvrBJv8moAP8HrRePoXCxZ3U9gaVdaXN+qWL/qT1RFOY9uZFoMFz9rfm0bRxjbebo3jgLAoc64uHhZbRwFHqGfmV+3eFeUN0zd3ariPnPbl/A+tHEUAOa8XjSOzukzxLpYRWasH0Qa/zlPpc8QM5feeFZVP4WMp7uzTX3QKdtrXxfDcvdjArX/bo36+GBxOziqtbhd/D8cBYBDnXFx8bLaOAr8RbrFXLxnilvAjfdSnsGNowAw5/WicXQuVqTu+2qli3c/+/vOibemTS2m1ipc/7hGh1U6JZLho7791scNW9T+qpGjjzjo7b22bRw9fIcHunEUAA51xsXFy2rjKPBsPIMbRwFgzutF4+hAX5kqTY3/6Kk+8lPem8ntYrLq72AjNWy/TmJm/BhR5Y9xlTlLyzNlvfs18iGUV69/BrpyjD5a7TJndTBOibElrz7WdWYUjgLAoc64uHhZbRwFtln7nuXv8gxuHAWAOa8XjaMDJdI+qIlM7/0jggupcpc9KqXc8TPb4Tt59Zjh/5Bv5tWZNtf8uXaQvPpYcSEqRwHgUGdcXLysNo4Cz8YzuHEUAOa8XjSODpRX53e/SvkiRYx8r34hrHj3FbG+jL0WPsmrdcDsi2Xl1TO78+r1tPxRmTOrL1ls7fssr64fOmicdRh59c+JEa4cBYBDnXFx8bLaOAo8G8/gxlEAmPN60Tg6WMyrL9efXH6r2fJiXq28MUSWm3ljJ3/C3OcUyqvHdHQ9MZ790+UUTdeX7WPJO3R5taqo4qUxr54dHLJ55NU/waPcOAoAhzrj4uJltXEUeDaewY2jADDn9aJxdLCYV8fxb2/xf94y3xvzaqWOb7d/W70vLfyh76uP1eXV3ffVejrm1SGCaqRe1dDFY/LqHxVDXTkKAIc64+LiZbVx9H+im5Id/wgtNu/6p0FnovxLlN/ueLaLe5R6qxQi8ve3+dv3GV+ageQZ3DgKAHNeLxpHB4t5daSIil9PvG1bitdcNxbtWLWVKMZ+oQNU16jLOUV59fjSWFf1LHl1Gl+tHSSvPlYMdeUoABzqjIuLl9XG0b9FW2nuwXp6bca21Dp3Yt3c3N13x/K73Vo3AfUA0T1KPVJbfkai5OxFR5WOPVKbF18KY43Ztr92q/RcYmQqRwFgzutF4+ggl+tKSaD2AqXcXa6bH8jGLrBle1pc25VXz8z2ncyrV06/26TttM3FgHw/r9Yp8YC8+udcL3/hKAAc6oyLi5fVxtG/RVupEkvtproL0atxZ7CyleaNjo6Jou7uu7rDqHns7J6j2/vzHsXP86P0aG774yvdAUl9XLFyL1WbqjaEOkRIGpzkKADMeb1oHB1ou8ktRuu/tom6c3V5darbUzxePODuwt61YZ32nWtNw1YSxh3tm7I6jUY8rtTfPMbnlE1tFN3k58B/jke5cRQADnXGxcXLauPoNrqH8Jm78j1ttNryZynueAsiqj0r1dOVG4Vxv7+lw1/uOXTM2JF6FzJr56zqejMRj/Mw3SQtDtp4c5YHRwHr3XwiGpnO7psnn984CgBzXi8aRwddTjvbbrRTjHtWrHV57uK6JzXnrLLY988497rndnnyKLe2bo+TWV6die5s253JbU57aJ4eT/OfaOUxtzN646t1H4xe7N4aMLpe48JRADjUGRcXL6uNoxt0NxDavLdsxvFy3qBoK40tX6XVjVMvrSSQ3e1CLVaRjqrIbTv2+/fIyi9ffhJb9wSZ62pfjwMqvaqXbj24PlhMj6XeLtRuqsGLJ8YpOkbtud0aXU9UIbXAZ9fNInVt5SKuiBMrRwFgzutF4+ig21+07M/y0jGeS7oexzF1AZ9tXorn+q/NIp7oyAjefh95hPsa6+bSbZQya6fiYWVHW7RlV1o/ZnxVg6zdIXvt1/A912tcOAoAhzrj4uJltXF0A+3WuQsqA9y48+ng2Lnf3q9p7fvtx6mv3+S2WwFtsZlujbT9dwfUbdihpt5nxNNofO7W115P8uqUdyER1afvritKab1Wm7vbl1BvF+rdTNekpDboGJ2rm6faLzV7vCt6Ot111JhEZBzGu+KsylEAmPN60Tg60NKUG9zfyauzND3oVsUoJ875jF3stmbWAnW8It0eJ7N2hlnX1o2dGq0fk6+qAV3zohfj+GC3GN7KUQA41BkXFy+rjaMbaLfOtHB2ZzCjbfLtmsNeaa/VjcLb+52kUZnnmJEG7c1RiPK0pNuITlShXnTGkvMuROWHaPzl9qHAdf+//v6ya6URGs/N24V4XO9mNGLd8TWobmpAxmKz5bPblKegAcnr9egsqjQayVEAmPN60Tg60NLkg5pxk9KyPK7JsQvkslZ3BFlc93LPiiP1eMyrdcpYYDQjt4zFPU7G9od67nZqwxbj4IwtzB1BvrMvYJEHunEUAA51xsXFy2rj6ONWviteoc04bxfy3uX6bfL8e8vYhusWq11ZVWcJ9c5AwbhZGBupc7MWpbLjXUXmwxHNfy3WNWOm3vTose5m1KquLjUgjpF4dPm41qLUvYqXrl+Xf/2zqPlJf6qdzcGRfKmeFW3LOySVnLd3IV6thWTj95UcB3R5tS6HxudRt4L/cBQA5rxeNI4OtMTlwqWVra7kPr8sblUsfRnPZbCzeKKMC3sa09QuCe/2OMkdzc+bxYO3UKfGxlTjMapu5cQ6Vt1eie/wmDaOAsChzri4eFltHH1Qd8+xnXZN7eLaYlVI3qnc3fjzhmMxx1Mwol9+eHtvXi16VSfqbkBnzbpfbybqY7Vzdq8QR0aB77cPGMZis0d+ftM1fvFpNrJLaEO9dcvPNdTUbtxUVPd0X8l1YEXxHXx+4ygAzHm9aBw9WuwXuUL+KC22+z6a/GdpN/wLo3cenu6NowBwqDMuLl5WG0cftO+mYcypMr9VzhkpVpf3dk/DGBmptGsFX43ld7loTQiDDlNpceOic0Xp4uLdTM2la3UqZzGvVr3rnRp16W6nNkO6vmdnF+uNg/MS68LlYd8puUvCVdSOuRTixMpRAJjzetE4Crw0T/fGUQA41BkXFy+rjaObZcq6mIytiAwqUkr93jLlUTVNTUpfF5PPoKxs+2fz9bP8aPl71L6Ub9fqop237Pua70UflbtGgz+iwUvfbI8y7dRYZdKop2MJqkKNjPrieP0Zz1vTvhjP1YBId0UWhzdkPlwHZ1SHOoqq2ft3SlaxY2mzZqy41fmHowAw5/WicRR4aZ7ujaMAcKgzLi5eVhtHt+kSxe0yd1LOqQywPt5SsvLPTMmUoa2n912CN+Z7KnOWr97+LfOXnwPv1PwwZV7dFa4+jg3W8SmaN7Yzy/Tzr1SyTs9j1OCV8VnPq/OKKMmvVX+n5DGvVtcWR3JdnFU5CgBzXi8aR4GX5uneOAoAhzrj4uJltXF0g0y0MvVV+rSe2QalUkovay6ttFMFjoWPIp3rDlCCN8s2QyZ4Udf720W/eLw2uEt9k9q8Uvjd3DJkMqwHswx2NOal63m1dGN4t9KV7FdUQuiG/Tslj3m1RpK8+l+mC3r3nR70hqoTNc5d/JUBPyQaMP4mglG06hKt+vqu/2v0LtgynhLvkfHdFMHt7xotDivv2fPQcpEcBV6ap3vjKAAc6oyLi5fVxtEN4jZuTGu7LO5a4IZUU8fUPLA+1pGdemLSWRGfJZzKB67NijwwbiqHf428nlfP+jI7q1LVWV0m6uu3wjrrcv204X5erTIz2LUq+5696K6gDli51VaBUUJ3zHdK7vLqHJb1jwwW6cTkKI6g+ZaXaeO7O+QFzSM9pa8XaPnNEhXoXXzXynsn3yAqrc7GRWOPujmck/9ul1N2ZP09LlFdHLny7kuLb8PZe3Pmobb9LzRz6mgrooui4Tqk8VFO5Sjw0jzdG0cB4FBnXFy8rDaO3pO3cZ28Xd54563DxmN027d4NzyrurNYb3dnlq1Ns5v+8Sav0qsrN3nq5niA7g5rN9XxCKY46/0zTr+fV2d+W9U2j0OnV8cTxxEQNXgch30l5yTpzMZ5nU9uHMUR6vtU17pex5j/dQ5XmjB1ompK5Hshzu3eF3oL1AL1/qqFzOah5JtIhUTjZ81LY4GKjLo3XVKl9dWxI0kv1eq6YQnjMVLf+7oWcZZ+AUQuEWN3utLGto0X4nDR8tnCski9yE5pGuhpnZDfFOVUjgIvzdO9cRQADnXGxcXLauPo3zLeHtXb2dndsM5avAvU/WK8unj7mzeXXSaQZ0ktWXWFrjHdKWHxJi8Ty9nteHfvGHT7WEsbs1OZlXlOHpTG0YFSER/UPHS7/zJybleLb7r6Pq3v0Gp8P2qorxN3+OvrnXqu3lm1GY/m1Xq/5DXV0/oW64xTIg7uqtAxdZ7MxiFPGTuSZu/oRbXjHtIynrefZfnS+HB9fvnywzhqjF5dsTJK35H9rQMourhpXPeyF+TVwFE83RtHAeBQZ1xcvKw2jv4tcXtUb/7SeCd9IN2bLhYe98pjXLeks8bMbvFVS7y02MGHjJn2bNzOLIaocnSg63LIHfkL0NTKuaR0Ramgpr0eZxqj4xVUCXppMR/TS90bp0uWRrVeRcbVYD2v7l4dC+x05ccMeY9M9XLNQrMQTZsxLUyqtDYy672897WPB4/imK46FZjBvCjxIMdzXCukG4T1pz9hcQDr9FN3siNpy2cQs5mwhYtoHMUJaNqPU26LmK7b3y/xXq5v9pjS/+NvcxBP98ZRADjUGRcXL6uNo8Cz8QxuHB3EPc3f/L1Z/7ia2MRT3WheR++WqGQupL+H937N6d4+I91r2d0sFwpZVBz5+fsjHiv3rnl1ZoY6RXRivWd9KK/ueiQrybyqy3wvStZhXRVjWqiIOpWdXZE9UgtnN+Xu/jWR7H8zXNSWZ+VtfZQ2K6pyse3I9ac/YRzAoAmw/vlC0rhpwBdnzj5RTuUozkFv88WVYZ1mYDefZ1SLpm7QchRvt7eLF5C/7zrXC0cB4FBnXFy8rDaOAs/GM7hxdEBeXXVZ6JhfKZeL+z+NqlKguKeMg/Tr9Gf3hSo5xOmfn8t/KF66EtQGv7ZqTKsWkzfRffB4A53trKJJuhXudCXr/jjGYjFvHwezUlNd7pKxqSnP7Y5RMxa7r8ao5BWHZKqL1Oaubboos7y6e/VV82pdmtkgPIvoweLEWxRvrv8rn+zobb5jIo1TV5HF0rSK5jqg92mMQC4+K2/2H6J6k6MAcKgzLi5eVhtHgWfjGdw4OtA9jQ+6eeieZv30LnvJl+pZcTuVd2C62aqpXbxaC8lb1X0lX9u0SlVnabrLHG95VWzeL2Zjrt/t3h50t5JOom7/9jduPXW8mqQG6/iuWKkHK6JG1lvY2d1wd/+qw9S7bHO9+1cw+qtW5TiErgr3qJwrapv+wXO0UOWoqWNH7tKA1J4u0mHjZVLtER9HrLOxbTloqRuBOv2kjqEGTXF9A6/Tx2JFo13fDiELVFy9Xpw5+9wq+cPRvyU7e/ei75ajPU6YQ+QcGN8do+zvDzXmUbOVpOom5Iq4iFHg2LUI1vdavk/jsd4jd9+Jh3OLG0cB4FBnXFy8rDaOAs/GM7hxdKCbpLwF1A16TQZW6B4oz118mndIqqiWXJOQzEh1P62X8mAV1T3dV/K68ZZx8ayaxuhOVI2J6hdv2eP4iKhVUaAO0ykKqqjF7KgerIgaWRu2eDfcBXNM8gJlazMYUf11ax1ch7QrTZcgi6rUi2ywTux6rSNXqBCd6NBENlU/L7Ao2nn7d6N/qo5W1d6NbVvsYPZFT3Uh8lp3p3RPc/zrte7KV3DW5e7VWrtfiiebp/pMnF45+gM0PmNTx+l9rJz23Zv0QN2lX6eJ8XONWZHvsrtW+hLXK6a1foRH/zTmbl/ifXR9J9w+W4p33cfvaMafmaDR61azn3btZOEoABzqjIuLl9XGUeDZeAY3jt6je5qaYKzQwTU/qcYkocvNukyjo3svNUO32nnYN0teoYqyR6qoGw0dU2UtumWPhtX2RGMi6YsS1Kp4Ne/sF9V+BQ1yva8dE4+u+2FLZDRrWNejMLYqqXndtYsj9a/Ku8Gc0cjXG3S1rTtdzYgjQ7Qth1qvasAX7/LVnS3GEauVhixf8Zw8HdXYHdwN4DixK726Lmp/e//ykcGjXFDj6A8Yp7HM4k9k8eLOrMzSnzbOt3GV0DGzdUMXS7NOh2Wkm4Hj2hLv5Ziql+h7rAwxXLcf5/FrN39zDrjKxlEAONQZFxcvq42jwLPxDG4cvSfvfmY3Uh3dRUl3yix1ybul9RtKlaxXo6h6o/bNkleMN4VdOhR3mXG7rN9bphxvsTFxfMS7G2u1So2M6PtbDNdn7eYi3aOr2HUrl+xuLZ06gDEQ79HfpXx7zBzq3bOGUUXFkYt59fbeBf3oQVaqc68/ZtpymKxdg7wyDXTVcsLoxNq2xXMVjBNV3Tiqiki9HNmwDKrx2RfZklfnqzXhWU9+HhLlVI4erbtSlcZwNghPYfHizqzM0p82zje9L+pEWplaekktr0Xl22TWKb/74uWvq8r/MgjiFjSOAsChzri4eFltHAWejWdw4+hAtziZSY4JwBZ5Vsi7tPEWrbN+Q6ky4+7s/SNKdjoq3yx5he7pczSC7hcVUb23u8E/95r1cba5po5Jrarjk0XV3nV0Vm3SmHisD4ju8rMEnb4yeqEbwHE8Z5lDdCe6//EZlyxe/FLL+uB06qguUpOiDn/Z1VqihqmWsdlJI5ZjOLZtPFfH1FZpJMfy88igKsZzFwdwfTLUV7vT7w7XdlFO5eig9lGyMRqWoJHRSMZTzcDxRMle6/T6N8lD7VoWKDmxazyq1piEvKxd1d1wZbOrLDx0p9eXgq6IXqr/eN4vz9WZpmkp2bxZvbP+hjy3G6tQmz3Ot3ElWZxa2dkc26qrdBwH1aJPxKJ2lZYNi1c3Dt2B1NTkKAAc6oyLi5fVxtH/lbbVbmNbpCO7/X6L2Mm0r+NleAY3jn6lCROv5q2VbnEW75buUml5rm7IVuZVvaFcNN4Zy/dLntG9dX0H6RYwIpePa6W64av3mnXEuhHoqFU51Dn466OtJtV73zGiRs6WiHi1q0LH1xI6OYDRu/e3S/6Qp19uve5uf2sHVUW9BOuD01m8m1/UtUS16OnKNFDz7qrnqrTaZV2I2TTr+tuN+VhaUK9n16W+Go/rSG4frruinMrRQdedbii6p+psfVuFWWd1bp6up3muioqIOqtCasl5QJj9bgU1vhuuOqTj1dE0ywO2tKq7uDM6V50dr+N6vXo1n8bpY5sz0j0Nqq4OzjgyY5N0TJQTdw3xYGbW/WioLkoeo4apF93V/2tUaXIUAA51xsXFy2rj6HG0J+U2OVP3Hrl7Sti3J2lXi7Nye35INvX2K0sWbmLwv7jOg8LRgeZMThjNz3yqm6rQ3YOKzs3L3d23dfeaIQqv07jeUC7Kmdkd8/2SZ7rb1nxDdVO63mtq/qv2+lhHVmpVLUqR2fHSdS10wx501Rav0XhbHPI9O3ur5ggHfa3ULQ7dtc5Ijnk3kmF9cDqLzV40tiRtnwZb2qaKolUatHzadTmHtGtYvdY5/l2z1evFi5LVRSv1McfGCfCoKKdydCJbJd1Q5FP1vZtCs85253bDOPZUkSwnp+7KaKwP1+JkGFtbC9HjWZvX5SxdHJD1evW0TqpsQ1AzumGvVPgWWZ1q0dPuSqXujZDU8tSVGcP1/hkH3FkPf4jb1DgKAIc64+LiZbVxdAPtJVvonxV1u0635UhuPFvk3UBsTCtb6Uiba7c7Rne2b2+502sjf7Tl+AlxFSpHl3RTt86EvPFavKB5C1vVI3M+JL06nji7B+1uItP3Sx7N7jLH2nXkGM/34OIbR23LN76e5ldqi+30McN7M47PoCod2zMO0aKxF0FVqCNxCca2qWEZV1112VGkFr4+OJ3ZCI9U0fbRW7SxbSrwNmxX+u3H8UAndq9K7UI94Pbrya9XRy3v3oOhDqZejZmTJYzbx5ZubnGr/A9HB9mS2v5sQ/dUB9ceBV3iMfvqzq3XV4+j1nqZVE5X1/pozFYVWXxVwVG0X5MnHucpK3NyVGdFGK+sX/gqD8v+6kHX7Dqvxv6Ol2Ds++wyhe5KJcW7U9Q8Xbuxluxmd3H/GtWeHAWAQ51xcfGy2jj6uLq15C4Se6z+jI2OWaHNbNx4Vm4X4gDtSVtuLJLuAKLkRRvvDGpr4/G1uMufb67wv7hdwD8cxRFmb0+Z3RrqjVnXhMw06u1vyBL0bureg3k7W89afKuqnV0+I5kMLN4x69XoYFRRu5NnSZYcXbvEPf1kraiDs76kdONQR3gmyrouN6XYrpFbFiKd8n/d068bO6jLuuI7HXERjaNf5QjnBco5ufhUM/8p8uqutLRyyjga4yVboQbH6fqYpuvdSr0pjomz3i7TGus7YvH9nrZUl7p3a2elorEWFbUyb7OuxdXs+1R4chQADnXGxcXLauPoNnX3WtFtfrmt3qW/RLG48XR3A9qEtuzrscONh6m0xQ1se2vD+s0NfpSvQeMojhBvkMV3h953sxvKeDXea7f77avFm9d4P2bJeq+t3wcHFbvlDv5RUWI0d7EB0c67Detsb+fGjosaOS41im+8C9fSzXoVNDmTo1/pAtWrqZnfbUD5VMd310K7zHiVu3N1HVWXLtO1VeW9oyQty1Fd65dSp4xvQFWd7axvxlm+LYtteGi2q+Rx512vV1RCbcAijd5K7hpmI7Oou1JJ8ZXGdLXoeFFQParNyGN+aK1T4clRADjUGRcXL6uNo9vUfatuLbmLzPahEBtF/Spbu6n2FRW7srOONyixLd1y8NiD1vYhndhttGrkbPddvGOoncU/Iq5I5SgAzHm9aBz9KpZ+bS5a8/NpblLaEbRNaP+KpzVdDHU3jJ0o95Rul1Th+ao2oNyetIXVknXAynYZFrPHbmvrmqFX61lRSDajtir7m0Wtqw3Oc3MzXa83RXCsrtuXu5FctDgyMyp/ZuV+oNaiKxitr2Ookhcv0PqV3e3a4sJRADjUGRcXL6uNo9toU6wbg7aW3EW6rbrSnnetcmLcSoNqvFZ5WfiePOL6DTfSlZC3MtrY9FgtXKxLtLd1e/N4Z7C+eeMvuF3zPxwFgDmvF42jg8z3pPun5nGAdj25fch7fbUmwJlDivbKmqrFhlK3xdxT+qpbmV08dNtQV6Nk+lcbnGpyWBsjNfGrtXf/eN5HLKn9jZPeP2MvdiF57nq9Epv4eF8xDkgYz6125NVjvRHXtZv9qzfVknMmB1kF5n1L14w46+547hbVVY4CwKHOuLh4WW0c3WZx2x6N+1DQ3pnbhnJd7SvaHesdieiY2JdmOXCKDamrVOdqP1Ozo2r92Yz1AtWYbGdshHk3oBbmXr7YTfw1cQkqRwFgzutF4yj+YdrBNybD67bk1bp52C7T5prnx/95uyz8M416TP1QY0vDvkM1JkcB4FBnXFy8rDaOblO3t9weNu4EyqtV6aJuB1L5+mXCynLzs179od0q0+B0PahsWkGb5Xhkp2576fa5s5uhcsb9En+ZLk1yFADmvF40jmKX9W397m57l7LNQ4oKuoH56Q/EdaOyfl+kcfubH81rGJOjAHCoMy4uXlYbRx+n9HLcGLRhRGLafSeseO6OOr2m6IuZqjbCW0stStDXzkqbtYet7E9Rwvv7uwrpDos2jCfWxqh29SVqjQeRrN+a8IOfK2OjuAqVowAw5/WicRR4aZ7ujaMAcKgzLi5eVhtH71FW7HPuqV8y+/wNJazk1SpKKXSk0/kgDribV+uAFd3X2rO8upaz2FT8Zb4YjaMAMOf1onEUeGme7o2jAHCoMy4uXlYbRx90+wmmONdps3LRLpHuKK/OBHj8vnrxG+Dv5NUq9voj3W/938wMNWd26KYWWGvPzwXGU/C/iGtROQoAc14vGkeBl+bp3jgKAIc64+LiZbVx9BFdKqvk81rUIz8aXfPqfDqmx/vyagVD5M2fvz8X8+dZXl0bplw6Py/4dfu3Xvk0juSL6//R7Qr/4ejRNE8WP7jZbuWTo2ONczKqfouqf/iTII3S//V26D7mA1Z4vWgcBV6ap3vjKAAc6oyLi5fVxtEH5Ze3lRLdRZnozkRZl4+Fv1qp+3UfdHM3r+4SIT3dnldHOyJ4ef9TqbKFiF+Pvv25r2jt5++PWgv+Pl2d5Oicpsp4xSVeXXwpZ+A3r7U+lPnRCZNNrfltfauuvENn1GwZT480XoOWVccx+hAhHtdmVPWjq6Dj8+BcKxZbO17E7CBvRmxxm1x/OAq8NE/3xlEAONQZFxcvq42ju+j+WPe4eixbbnC7e2uJYNwg1++ddL+uoG6po6q8804r3wSqhDFlWozrFl/tr1Uru9CNvh7r58u5lf8fXS984eiEsi9dbl1Zn/ZVN/3CbP6sG2eyJm2dqPtKXqHZ29WrjsdE1Ttu7GBQ265/qq5l4JXaHKd3sz2HMfrw8TsK//OTHUFvk8Xq8sTMnNW2KCde1Imzd/T4aq4Gi3UBHc2W5Cjw0jzdG0cB4FBnXFy8rDaOPqKmtd13SrqJr/GMbFfvj3UL3tWiBnTBmfUGdFnNmA5lDrB4K69MwFH8XboEydGJyMf2ZbCaAOM8qZe+e5pzZqOjPp1RdlrFZP74HYnoJdqXrRpT1n2paU3ju++cg6qbFaimZsfz8yy9W2cDslJLZP0qQfEz0FV76JIh3Gb6H44CL83TvXEUAA51xsXFy2rj6D263/U5x2UC+8QN5U/cTequvUvXd+dj+Gmei42jS5TFRT6pVGTL7M0sdNHtF+H1cuaoupr+1amVr/66HPnvCLo8Nr/X1TtXVeuYWV79aGPUEZU8K0G1r7yDdOJMHcMQNaooFRvV6fQ6sHkVXp4ucRgvKFZo0JKjczGvunn4TXHhNhZY37xbHNJULVYbJ1W8Abt392yROdyjg5Ni/A9ceJ+Fp3vjKAAc6oyLi5fVxlHg2XgGN44OMvXSDV88nn0oEzeUl7ih/PqSztK9o+44456spnD1AJ1SqfZ4NXLxOOjycT3xcnkbK/qmTFCjd/qOWk8XdXe9OnflXlMdr7fsuqlVaev0V/fquTNdYhyV1t+4phrVSB15zdffLrVkpZpnuGn2rLt9vrMjtTizGLHK0TlNttkbfJHm4Sy31Ktb3hH5pt44pXX8bH3bbvv7aBycXBlm01JTNw646+4QeR14pL/ZvC3jX+W1ePTEf4QanxwFgEOdcXHxsto4Cjwbz+DG0TnfhN2yMZ2yqLtt0l2gbhwfyqvjmAi+f8QdpL/80Vkqvz7W8d+hNkRp+u33l+u/dPZt8XhrHjfN3S1vHjOTHZndK0eZD93dLt64a0wWsxF1UFXozjg6e/u9gX2lKjm8drapDx306xWPmkUnoemRHJ3TjHroC1hN1zhrcRJuL3DxbaJVaPHtpjdyVprvhU5tVZwyzh+Vk/Wu1BhVdEufzl2ZkxqcelbX7LBxiHKct18dLTLdkEYDxgU86OAUZ0X/L5GWX778W5Vo7b//HnQfGkcB4FBnXFy8rDaOAs/GM7hxdEK3hlvuILtvknXrpnvKPFj3W7oRHG8TQ96J6t/9Xn/lV7vPjqIjLYzCVMji3eqjoqgo5/aLw65V1JvdeCkev90+ThhvHKUbhEepR+Ppt9iX3qmi1F2OejOdR2qQVYUiIR7pzwfo9wdW8dL1E4avf7Jel8NH3NSqdQX9QnmpnpUXPajk2pd4tRaSvd5X8rVN90TtUdr46+Jwl4Y6OTqhK7h+XeLyjZNf13SMhzrPUzfDtxivu+ZkJqhdRZp1deaH8a2xopvY+k2HOflVb1fpODjjkHbNDotDJHpp3eKJYX2Qu/HUwYudWmxDvrpYiwYh3+mdWYMP5JoaRwHgUGdcXLysNo4Cz8YzuHF0Sb3R6e5gdEu3ePsrOle3XHmwbo90yzXeJiqiA/K2NQ/I27Vask7cR+VE61SXvpBXj9SSaNz7ZzR4+mu97g7COp0+U2+XU4xLtLL+NbuRxrlLA3Ti++2Hy8dUJ4biLYbia7wb58WneXXUl1rplxz4Wq2vbL6UB6uo7um+ku+KO/sYnyhIZ/2F+/KXcRvvPxydqLPFb5N2pTqLF279rSF1SlRaZB56V6q6aEmce33nfM0Gu+kqi8G7cuJVemPmlK7q4OjcfF+EbLaehq7llV5aHO16sRz6Ks4dX9U4r49A1576dFZpDlHXi24d0OkRWezRgaKKylEAONQZFxcvq42jwLPxDG4cHej+5nofd015/tzMie+V5zev9b6z3rbqQRww3iZK3jAtWrn5+w41JgtXg3Vjt3I/moOgYxaNHUw6S19edbees4FVelwL1Div31zqmO4+9S5diLyR7dRLKfWmOajSGqni4OxIHe3wzZJXqEc6a6wF62K4Kke/0vvIR3ylt0le9Nnbf0WdBjEHLl9/QEY0N7pVol73SgVWl8j9r7/D4cvsUpndG2EMxozqjonyu4h6nc1TIdfTviaui73QuXXEcl3V01CHqKOXFie8xqerLumd0l0pVX338rnS6Jz+8Ulp3qxSdTMPS6qxjucY+QlRReUoABzqjIuLl9XGUeDZeAY3jn5V7//iZmi8f9I9zSz9C/UAPY5buprMdLeJupWMV0O92YraF+8FD7TYkqxU93/RqrGz2Z16v5jWh0jF6qYwylGXF++nqziyuxaqWhZPVEV5IeL02Zdj4+nqgnS9q/VWOW7qy6z7dXCiqHpz/M2SV9Q5JrVerPOQNY5O6PpqzuhtEo/jyubs7d50KS/ueIAmRjcPK51ybdySsS7Js3KCqcGdbqr4rRqFvvnNpUgWksXWExXMN5oLuZVS++V4O0yywLsWh0ijl82rtEQsrh65NGlM9FgXdzaei6MXQxTjVD+wmFWa3ex6oUrrYI6RnxBVVI4CwKHOuLh4WW0cBZ6NZ3Dj6Fy9G041L1qUN9P5OG7p8kEEdf80lhzH1GJ1O5g3T/F0sVK1px65UdeMxXs13eZGvLsLzBv9fOAXbtaHqI6PbzGjhuu9dF9OFWfVEYsq8qkKGWtURSleVXfqYfW6jDREOj2PWexyNdZS5bCPv9ftmyWvqKM3u63HzO36/+HoRFzEHOp8XIPd+y5nr+i6ZFCT4e7E0AHjNV1/J+a7O4+p7808YHFNiKD+VEG2sOtRPhX1OluYVUe+Gf8vj1S860g3YkH92vje0UuL73E1dRy3uixky2MBvja4NGMmV55sT23erFJVVM+SbmXOoVvs0YGiispRADjUGRcXL6uNo8Cz8QxuHJ2rN4tp/Va1u2fK+9TxRm0sWcfk/VN3p6inY71qTxhv1FborGzDeqc6eaMZ1XWNlJXSND71pY23iTE4K61VsWNLOqqrnlivy0x3vXTKyliNtXRUQujmwPdLnrkNeZx1nR7qTlS0PlZIt2v1h6NL6luje5vkte6mU+pmtSaDVoPFd1mKI69T//Y7/XWJ0/r7OuehxOlvt99fkBVpvuWKJBmsvwNPFenIxUrraMRTFRLvO8Wz0sUaxxFTFfVtuzJEemnFOG5xSrcmaKzGI0fx8u3AP6JVtXk6YCyqG4qkznYWe3os19Q4CgCHOuPi4mW1cRR4Np7BjaNzcTN09/a3o1d101NvB3Vbpnu18TZR6jGhu1PsnlaPpltqQBwfZer2Lnta7/nUl/H+r97ULrZqZYiyRj9vJYRxQEStvY7X5f16Y3679RwLj0pnJQQNUf0NbdKNudQOhu4+WEXFAfXS1KrvXg4VOPbi+yUvUnU1V1nsNWZirCpHl2iodYHqsNfrOHv7d+8ana6ZoPdI9y6TuJQqSscsWpwwaoYPiObc3mKxKsTTrEjzrc6cUNupSuNxnbqLra3VJc1Anav312KNGoq6bnTv0LAyRPHSONobRSPe39/V8m4YY+QXB1ZXRD/4rV8hcb3Ylz8J89gdySHqeqHOdmPyF0SllaMAcKgzLi5eVhtH/1fagZ79vjB6MG6uM3FzsLiLYzvP4MbRucUbsu72t9INU+Z+oksc19rPm7FkHZOzurtTXL9x3D6RUr2FrbduakaNd4XX6tSqReMQRcm11xquODI6lfflXV1qgI6Jp1nd4jhUeZOaokfjLznvxlyyMVWtMVue9Op4YtedNLua3y+5U8dBHc8hDeM1wsiD1Ti6RGOr6VQfx+XOma8rkk+Tjl+8IrPZonhWMR6zUma8FG3QL9jP+T8uU0FLgQ4ItUw9jqn48Ttqv87bzCTrKaHrteaz6tWc13xWvDt9fFPMjEOkelW4Q49QB1fk0En2Ky9HRD4uX34PRe2vzhI1NQ9LasM4pD8tKq0cBYBDnXFx8bLaOPr/ya2u29IOlDvcD9135l3ylv0++/tDjTkPDWNydC5uhvJGsLvBGueermleUN085ek1f9Psypckp9y68cZx8X76LjUvTtSkqo2vj7teBI1DVrf9bl4joCOzs938V2nSjU9VDxt1l6y2Ld93nZ9bSfACPEsaR5dokmsG1tWjPl58+4fFd40svsv03tzxTgxqQ0x7HZDzv75Jg94vXUZXj6lrRTTglk5+KSF1vdaJY8PUnq7GsRlds8Ni98Osort0YjQ4/jNerK47oqDq6tpTn+rCdUtf0OljLxbHpNIB68fsoDKTowBwqDMuLl5WG0f/Cu1A413vuK0eK3e4HfvxRrPNddHumwNUt/n7h6MTmgPdHNNVG+/enk7MqMW/1rNu9zzMwVQJMfjjrWqKd/fG98WjtG7Uy3drVNR12M0oXs9ttfjD0TklUaLJFpGc8HovjPNfk7O+uRyJY5fSrU6ttDO+YXPadztplw3q3dq9QWpfRvHq4pu36/VsJRkHIXSNDGOka3mKni7GV6jwEM39/P25eLEWL2JdTLr26Gn1E3n1scumykyOAsChzri4eFltHP0rxu1TZvEnErsfefVfdpu/fzgKAHNeLxpHV0Uedc0vb9nUNdka0qouJdN2MMYzZRpTu06XyIlO7zaO2E3yV3B3O2lXiPadukmpnbMcT68u7stdIvpQXh2tWhyWWtFi99dbu0jtzAZ0zU5jPOqKy5xPu/bUp2rVuPWrzLEX6ux6L37iDiEqrRwFgEOdcXHxsto4+vNymxn36XFbfTqzzXURefUhbvP3D0cBYM7rRePoXE2i4vHtl+X9+ccUY0qm7Sz2gs/fH9ryxkTursXEcjFNrboDVEinblI6vqslvbXfGKLDQu7RuZtXY8PUgLqzL+59XbNnGWmUtmMkq/FiySyeussRT1cSY90MxPGVeqfv22XlbiHKX3l1H9faOAoAhzrj4uJltXF0g3ErzaU/911tHto746n2nvFEye1Wp9/+3dMfdU/NAiW3tBqPqnPTyg2yq7rbp7PZVd0vu9O7rbRun/qXWxv3wnpvoQ1bsnmzemf9DXluN1aha/bLcPcaRwFgzutF4+iSXOHrxqHFebao6tXcgDKiuhbVgyVPyXrrUq+NY1GXoHbZoLaG3KRUS7ePVNrU9FiHdedmy+uO1vW3610tJGWz647cHaaX6oXYIS/oovFCpG4kf9QP1XXr4h+OAsChzri4eFltHN1Ay32XDOcW3j3VRtvdfGj/Hr+Xzt1Up+tpnpuJonYaFVJLrplk/uu1rpbFvSqK6u4M6l6uPTgP2NKq8Y5hkc5VZ3Vibdh6vXo1n8bpY5sz0j19MTEslaMAMOf1onH0q1hbtY/8L4unas/NVBaDndgO6s4Yu96426bYhvIHyP8ObXwrTZLY8rphrzsm9tFsT44CwKHOuLh4WW0c3Uypmk8+NK/Oc7tscEyJuwxfdXXHdBbz6qRblkxlZWxtLUSPZ21el3cJiwOyXq+eqqnjnZaa0Q37q4oxqRwFgDmvF42jwEvzdG8cBYBDnXFx8bLaOLpBpq/KHrtk+Ifyaj1ezHi7ump6OVrPqxdfVXAU7VdCG4/zlB15tUoL3YCs1KsDsr960DVbgymz/r4Gd7JxFADmvF40jgIvzdO9cRQADnXGxcXLauPoPWMm+TJ5dVdaWjnlqLz6/T3O6P+c5kq9KY6Js94u0xqzhWEc8Neg3iVHAWDO60XjKPDSPN0bRwHgUGdcXLysNo7eo1SwZnF/J68eM9igzHP8/lZPF82SVVWd7YzD8vEs35bFNjyUV6tk1VIHar1eUQm1AYs0el3e/jKi+5WjADDn9aJxFHhpnu6NowBwqDMuLl5WG0fvUa4bxyuRy6eZ/ilB7ZLhLq+u+XNkj5mFruTV8VQ5ZCaHYyK6O6/ukuGuGZm75llRSDajtir7m0Wtqw3Oc7sUfVZviuBYnbqQRXUj+WKip5WjADDn9aJxFHhpnu6NowBwqDMuLl5WG0c3yHxP9DPM8SBTPuWucrn+7Pb11ZoAZw4pSv+UCkpkikoF9TQTwr7qVmYXD10O2dUomXbWBqd8NdTGSM3Ma+3Xv7tyO7JrwKj2N056//zMQvLc9Xrl7f1z/ChhHJAwnvsa3L3GUQCY83rROAq8NE/3xlEAONQZFxcvq42jeCr6vOBVE+aNPIMbRwFgzutF4yjw0jzdG0cB4FDk1SyvBxu/aq7ufpt9V37H/v2inp3GITkKAHNeLxpHz+3dP1L2hT69rT9x9hP0M1b1x8T2qf+y7B+3+G+47tJPuu3+MF2zPTkKAIc64+LiZbVxFHg2nsGNowAw5/WicfTE9CtL/KTIf7I0/oOjKg57i9Pb7xnpDtYHwSvJufLqzDO7f98Up29MudWLHfmqmn1tZJz89Xed/IT8t1o7PrDQYK5fjpk4sXIUAA51xsXFy2rjKPBsPIMbRwFgzutF4+iJLX5dnNlmuJtX6zBRjq2XIsGNVDdzXaWF3TeuyjOzCqXHncUvaf/kw7cEVSfuS4mzYWrwrMZDqK5w9yMAdbC2RGNVE/LxmBlVmhwFgEOdcXHxsto4Cjwbz+DGUQCY83rROHpiSib9pPGX2B8Xpc0rqbUOiIQ2U+Lr38kYfn1miEIiq+y+p13Mq5Uej2lkpVczO/1OXp2d1eNrYh393vW18Lrs0cfvqPEy65ro4GjLFnc77uMaRwHgUGdcXLysNo4Cz8YzuHEUAOa8XjSOvqJMdKv6ffJMl+sqc17Pb6/p8u0fY+svXOjcyKLvZqdOj2+5bBy8Pa/uEunuqT4sGDv7ULJ6bGrdNWm9d0HfbK8nzLcxixLWvvcW9Sg5CgCHOuPi4mW1cRR4Np7BjaMAMOf1onH0RXUpsZLP9dRa6V+XramcxROdH0Ydvy6RBOr0eHb5uNbVyZbE/+IkR28iM3+LNPOWYd/Nq8fTR5nq19NV5mLv1jPY71Oe/DsS4falvS7HYgdXBjyo+/q5gC0/BB7i0MpRADjUGRcXL6uNo8Cz8QxuHAWAOa8XjaMvqsurMx2dJWOLSXWIVLD+dHf9IleZaqhnqZw4MoPKIcd6u9yyfu28klfrpZoJ1xNXLObVCqpTGqJxBDa6fpyw1AYl1XpJj2tqnS91chhnFgdnkU9oHAWAQ51xcfGy2jgKPBvP4MZRAJjzetE4ukTplo+7qWmMEjC/UF6qZ0WqlolThH5/vivRlXi1FpK53L6Sr20aLObVK8dHYe+334utkpN+Tjtyv6w0W+ukNEotvww8UsfrTzzfvn3WYTqxy6vH7uswJZkqORtfRfldvJ64QmVmq2J8ohz97LoKzEHOvtRGblTblqdn37um1imxcmnSxp52VH5yFAAOdcbFxctq4yjwbDyDG0cBYM7rRePoQF8VZgK2+DSzoC59DV9y4Hjhllktposqqnu6r+RRd7q+Kc2McVQr2kjtiQbUhsX/+fx8H9PRLq/OU5S333rz53vdbqBSdCrHJz2UV8eRlf7Cli6uytkxDos0/l1rF5sal2bluohOHM/dQicmRwHgUGdcXLysNo4Cz8YzuHEUAOa8XjSODrp0tzOmRkpZM2/M/G38yecQB2eupdRr9mVmeKjkjgqvdqRklZpXq1Z7otgYpmtafEuOI0f9/P2RyWocNp4YMlGMlDLKuf0L6zt5tWoZe1HHTdcun1a1TBWlC6Er8hEPbiduGdu7VNeYLdemPkQn1gJrFxyaiBMrRwHgUGdcXLysNo4Cz8YzuHEUAOa8XjSOLqlJaZdoKdcdZbI0y6lEJevVKKqmjt8suaOKsnwlZitp2K2qTXJA1J5onnK8/O5XebWPbuow6vjL7efFszs156w5sF6txo8Mqjjr9mPpce41q0+1TDVAo1FLm9V4lLt5dX4usEV+kNH1tOOjG0cB4FBnXFy8rDaOAs/GM7hxFADmvF40js4p+9LBmQt13yGP1rPfzOjeP6LkL79/65sld7q8Oqj8u6erlvWWSB4p27+vjrbFq++f0Z4/3YnmKdGNxzUH1qsr7iarogFRdboKamGmsln7z9nY1NE4htvFiZWjAHCoMy4uXlYbR4Fn4xncOAoAc14vGkfvyUxYSZcynJXs9G72qxJCl8h9v+RqzKtV/nqyqs7GYcr9ItfN9Hik9uhr5yj28/enktX1vFpVxNPaHSW32bbMqz+izNtvTbudukzl301WazNUXbZQnzjUBq+P0m4bmzrqxvAhcWLlKAAc6oyLi5fVxlHg2XgGN44CwJzXi8bRgTLSTH66HEwp3/X0luTUL1rD3exXBUYJ3THfL7mafV+9njHqmK7vNVJ1A6WEOY7OvFrfSMcxXS/e3+IU//5tdadLOPXSsXm1BvPy/ucH1DUUEY8H8UJEsvEbB/lR5NUAXtUZFxcvq42jwLPxDG4cBYA5rxeNo4PMb6ua0mS2mfTqeGIcpGy8o/R1TJO+X3Lq8mo9DStJ3SzrU2vHGmterZbrL2xFcEsGmHm1zq0Jf+bV9e9g6aXRYrOVRS9+JJH5f7RaXdO5eqw/1k1eDQAPOePi4mW1cRR4Np7BjaMAMOf1onH0FSkNG60kZsoqF11z0NsPh3fZZubVNVON+KyoLj3OXDeOz3NFBfq0OChe/XxX+u3QNllsDMisijom+enDeia/W03jt8j2CHk1gH/WGRcXL6uNo8Cz8QxuHAWAOa8XjaO4UZY7y9zqV9MpgvU74UepRl+LXRnjRqqoa3ykuN9p/D7jJwhbLLZ/O41wchQADnXGxcXLauMo8Gw8gxtHAWDO60XjKPDSPN0bRwHgUOTVLK94Vp7BjaMAMOf1onEUeGme7o2jAHAo8mqWVzwrz+DGUaDxzADmPFeAl+bp3jgKAIcir2Z5xbPyDAaAvbyanNv78b+cC/8WT/fGUQA4FHk1yyuelWcwAOzl1QR4aZ7ujaMAcCjyapZXPCvPYADYy6sJ8NI83RtHAeBQ5NUsr3hWnsEAsJdXE+Clebo3jgLAocirf2QEPqOWt/fdf2hxRsX+6J+4fC4akPe3uIh7/nncQ3+6c/wjpbsvx0ec+Ovy/evoGQxMeKIAhSdH4+hcrJMfl/6wCG5feLVUjoUAf42ne+MoABzqjIuLl9XG0UNFTq3C398vv35FOtbbks69f0ZT3+qRujuJ0w/P2J9LDK+GpQ6Ihiseb7/bi1vDOD6u0C3VvUPXtF4Opccrl0NN0t1kzaX1WPXqmH0XNKrewkcDwLBuODqRq1zNiheDK3Kh3v0ZKPBN17leOAoAhzrj4uJltXH0OMqUatZUbybyjqR+XXn56Fsl128Evn7M/9BXrC+p3qJ9/I5c1wmqXt2RKtecNi7E7M5vHHldtfU7RR2j9qht2WxdVgX3XdM4cTufA+DcvCI0jk7URVKbV6xgl49rMDcmLWJ1R9MqnRE9ravcykr7v4sub9xB8ESuc71wFAAOdcbFxctq4+hXXaK7/etE3XnkrjzLq2e3FHq1y7JUSDQjblPiDmZfDvYUdA/XWRwNjfA4vLqBG++KFHeJ94wFXn8O8pYJ66nmQ3c3GeG80Uxde3TK9SfXb6VpmtX70Ydc21osBjs6BsBpeS1oHF3i/ej6U1N23Zyuq+8X1+eXL5ua1j29umJcMP932mrHHaS7Jdi9aOP/4ivXOAoAhzrj4uJltXG0cPJzu0tQpjfusot0F6KDYxuO/fn9I+4t/tyUpHoLUkXVcXSkkfkggjV7rPGXpNuXHB+Nf+2yIspsdfB4c+bbwWGgNJI1E86idEoUFcdc4ph2uRdvEKPk2ZWdfQQTdcXEuKXebx+/Y4JdrhPl12X7RzYj1ZgcHeIdHwTglLwQNI4OtPTl3qfVMhbPeJDr8+yTQZ2bK/D6039K3cQd+roraRxyBPAs4qpVjgLAoc64uHhZbRxtlHrtyHbqfqzHUfjl9vF+3YP10uKunDcu8Vh3HvE0WnLmvDrHQcOSA3uXfoR+HOcYwHhVcQ24rrUe59OkBuRtVk6PWw7uYMYzorO6+8gsX714e4tmRDm+yrdiHqMCk6ONoxM+CMDJeAloHB3UvSaWRz2O9XnLBrS4AM6e/lO0ONe1PdSdAk9Ksz05CgCHOuPi4mW1cbQ5JHFV8hbbsNItVVTFPcXt7sK0l/u1r+JkfTWqUw5p3r9sMa+edblLbrdQgVHF9Yvjdre0eC8lOj5fcv58+7ikfkvT5dVBZap83YzGafFU9IPlfrL35yF9cuPoV35twgcBOA2/+RtH53Ip67atcdFLucyuG7/o/t+ps12nyKtfgKZcchQADnXGxcXLauPoTSZRb+9f7gke2v6VGSpT0p1HPT326suveNrfiMTOrVO0hWtfj8d38+oxda93P939Tb5Uz8oMM6hwdUHi1VpI3nDsK/naplVdXq1PKDQyHd0AjS/dTbZVRVwUtS3uluop3enqZkayd29v8X/eskeKd/XW8m//8VO/fBPRjSMzitIqR5f4iAkfBOAE/LZvHJ3TOjautFr0Iq4VdSXt1Cq6e6G7q9uMQrcU111JcosJcdztjKvbvyX3Sj4WK//gxwG4yxevcRQADnXGxcXLauPoTd1fdZegO4btNwS5f8fpNTtdtLg9ZzLm561M3Qd0aZganPcQi0/z+C5lDfVuQz84HQ9Uda00nqqo7um+kteNgzY7a31461lqrV/YJsdQt1b5VP2KwhWPI3URu+GqVHucMmtwvaAP8fmNoxM+aMIHAXh1fs83jk7kyvb2fv2Ic1Esj7d/c/NnHdMnibkYarWsB2hVzHX1m6K6aEau+Vpp84OArq7uaW5VWsm1/3YNGzdlPJ24gpWjAHCoMy4uXlYbR2+040awfjbf7dkrYoeO24/L7bvuxeNrkhbFLh6TW7gaEw9qzraYV9c7mGq8G1BfMp/vbik6tS7dqeRh3yx5hSrKHqmi2uWkGvUD1VmLg0vfb1e6EHGkrBzfHSnquPqoq1mvkU5M6kK0UF2rgxbqID/q1pY/HF3lQyd8EIDX5Xd74+iS3BCvh31cYpUbf0hncfHUOrxFt0HkibNNbUVtbciGre+S3Zahg7WqKxLG/Q5P5zYp/nAUAA51xsXFy2rj6E1uzHWz1556N1XLzGrxx31FSdq1guvG/afM2TeZIZKu9Z8Dr+fO7lE62baVG6OgkvVqFFXvS75Z8oourw6qqyuq3irFBdJtkCrtbokWOV2//cyffjH37J5JlyzHXFXo4HoHllc/my15xeOYfyGvFp8w4YMAvCK/zxtHB1rf9MGlVjCtZnGKFrGVRV6Ldq513SoaZudqZQ4P7R0qLc6qK20tYbZLZo8yWFd1RQJ59Qu4Xfw/HAWAQ51xcfGy2jh60903yMa8OmkL16+2ulaw5Hqr8rGcUI1beM3ZZmlYtryeq5ubLtmuVm6MQt4MKbGvTfpmySvGvFoD0qWsCqoBvhO6jneM61qrRG2L7mQhK93JQah59divsdlSJ0+9t6sWL+gWPr9xdDOfNuGDALwWv8MbR7/SQhfrqf8o4PWwa56pxVZL1soirxU1t4xuFQ27N4iRCr92pC3gWmnHwvPIoLaN55JXv6rbZf/DUQA41BkXFy+rjaPNmMV1twh3aVPP42tmNd5ejMYtXLcgalI0ZuX0rvxa9aK7NzcqIXSVfr/kmTFB1fjXiG59auGqLg67e5nquepF3FEpuHh6N6Szfo13cjl0QTdt3cSQ9Qu6ToUnRx/hMyd8EIAX4rd34+hEl2dqPdTTlUVei/Zdi+c+Ss2omfC4Glfdkq6m5rI8lha0mN/dXPAvu064wlEAONQZFxcvq42jTaZY2pW1Q+cum8nS4neb0qVPKlC7eLejL8otXBt8PK73B10atlhXtjZLyNZ2p+uAlZubbjTS90ueUY8yi9bTUO9poq7uvkf3RqG2YVSvRTzVUKsL2dOu5N15tahhqmLx5qwbt4dEaZWjj/P5Ez4IwEvwG7txdEILY7cqyvZFfsvGJ7mSb987cunW0ppPs4Qtu6TapnbGwV1/F5duPJe4gpWjAHCoMy4uXlYbR4vcmCVzvKD9NWzPq6v124u8pUi16jCernsCH93UtnV9CXp1PLG7k0g1M6y+X/Ioh7dTa49j6ghkM+KYrHqxRr1aX+q6ljdVIauowTTLn7uLnueqin82rxaXMuGDADw5v6UbRye0wK6sqP97Xh26Tef9+oX69alqHLekUPeUesDt95pfNxR1OT/YTd2mjGfh69c4CgCHOuPi4mW1cfQ4i3l13Z7He5S8mZh9Il4TzsVbnJPQOOiWKLPWbkByMIPuqyKoE7tbIh1Zb7BG3R1hvZXMBkgek3RLGi+NefX6fNjI5zeOfo/LmvBBAJ6W38yNoxNaxOoa1a17x+bVwA/xfG0cBYBDnXFx8bLaOHqcSJlmNxCRWX3n3uKbpz873ZxFXppfL6yMRlyFvBfME/VSirz6b375cGvCl+pWpsoWmsDJ0W9zcRM+CMBz8ju5cXRCefWYPCu+cf3UCvzQV9DAsTzdG0cB4FBnXFy8rDaOAs/GM7hx9CAudMIHAXg2fg83jgIvzdO9cRQADnXGxcXLauMo8Gw8gxtHD+WiJ3wQgOfhd2/jKPDSPN0bRwHgUGdcXLysNo4Cz8YzuHH0B7iCJT4CwJPwW7dxFHhpnu6NowBwqDMuLl5WG0eBZ+MZ3Dj6M1zHwC8DeBJ+6zaOAi/N071xFAAOdcbFxctq4yjwbDyDG0d/kmsq/AKAJ+G3buMo8NI83RtHAeBQZ1xcvKw2jgLPxjO4cfTnuT7eO8AT8ru3cRR4aZ7ujaMAcKgzLi5eVhtHgWfjGdw4CgBzXi8aR4GX5uneOAoAhyKvvj8C+mvJT/G3N/VnQrf/TWb9DdL6h52js2+/3v61P5EdrbpEq25/jPofp0vw++Pi5z/JM7hxFADmvF40jgIvzdO9cRQADnXGxcXLauPo3OXjespbHHnLNncnTr8uH6ox1FT2QGpq2PgpQB6f3dGHCJfrsCwnseq+zlq3kt6/vX/qGFWk9H6lzXl8tjMOzysSVEI9IKh3Y0Qn6nKsNLK77p14dfElDWBXb5UDODtguyikchQA5rxeNI4CL83TvXEUAA51xsXFy2rj6KCmwYsW8yIlYx+RI97SvI5OiSzxJ779rhnvxvLVx+776kgLM9uM7nSZp2qpKaW6XAtRsd34ZG4scbyS4Tgss+JZs8cCZ1en+8BCh2Wxvjq3p2rP4kUMapK6WQe2o88FfM6Nio1maOg+f3/Ozu2auoMLahwFgDmvF42jwEvzdG8cBYBDnXFx8bLaODoYc07pMs+OMrcwZlw/LRPFmj2uyNTx19v1PytqZ/fl1Ro0HTN7dTZiaue1HU10rStEx4wljB8T6PR4vJ5XR/m1jxstNjXjap4ez+bPQ1xH4ygAzHm9aBwFXpqne+MoABzqjIuLl9XG0cF38uq7Oe3h1KqsV81YT97ym1U/v1nvXYjojry6Gl9VS2aD1pUfeel75OCXLz9KXRNXRSp1Ko5fMbYnIo9ezThRQ6cTs8w61GrqITMkyqwcBYA5rxeNo8BL83RvHAWAQ51xcfGy2jg6UPo3szuvvpu47rCYVaolsy9dlR7HAXHW5++PeKw21+ZleqlT5MC8Oh6onJXjVV12LY5U27pTFkdgVK/OYu9CdqcO0WKxMVb1t6mpDXF8FR18/4hCrh951PS+DtduKio5CgBzXi8aR4GX5uneOAoAhzrj4uJltXF0oMxtzH/WE2NlZSsy0TokswqzlPKatV6TOCdyXaqf7YyXPyOznfwb4NCdmNnmXZmyzk6Jkq95cvy3ZM6dxfHUiX5SjIXUL4rDlrw66YDL9SflPYaLNBOyj3GoE+l4ofU6PwuIVx/92fIVKjw5CgBzXi8aR4GX5uneOAoAhzrj4uJltXF0sJi5pfW8ustFf46T/Ftuqoala6p9+xtayg+vT66dvaadTsVvGWMcoJxQKZ8KVLa5mHnWgxVRl+vHBBq6xZRVVddXVePiiKmueGn8LKOrwj2KyK2DXTaeJ27Pq2efnnTXNw7TV9ZRawyeMueaV6sEtfbt9jnHWOZuUVrlKADMeb1oHAVemqd74ygAHOqMi4uX1cbRgXKh8VvlWcYlfzOvVma4I0+LEzNZ/ct5tcoUpcEr+W0kq2+/Ltmq2tP1vDqp8GzbmFdfB+L2rXJtv0qLYOgatn591aoq2vwReXX5gEO/K37HVRupiuQoAMx5vWgcBV6ap3vjKAAc6oyLi5fVxtHBmCNVs7wo866V02tSultmxX4+1yWuceJbZM4tWY0SlCqrbaOuijGD3Z5Xq2r9+vHL7fv0OCsOVmnxoBvVWcN0VjzYmFevi8Le3v9UrUrj6S357a/U3bw6Tum+r47CVVHSzxeM4/MoF9c4CgBzXi8aR4GX5uneOAoAhzrj4uJltXF0TonWxmQ4vyBdzC3Xs7JH1a9Vt+gaUzPzKOr9LV71L7JeaeH2SrvqNIw5MvqiWPmrqlN7FquuL0U5cVqcq1qqWV6tPuZTNaw+TmqkylGS/M28Wv/EfaXG74jSKkcBYM7rReMo8NI83RtHAeBQZ1xcvKw2ji5REhX50ftnZETXDOluUpTpdD7wCzezrEzxEHXdkrs9lHxGIRszt5pXh2hwNKxLREc6q7ZTja+nLPZdOWekqfVVnZtHLp4YupS7exqU7a/n1d0xd7PcbLCf38yuoKj9nTw4a1wvZLtb8X84CgBzXi8aR4GX5uneOAoAhzrj4uJltXG00JeWkfYo/+m+vYzg7Rd+RbhPjbpvO6+Ff03bZgmV4mHMDDdS1VGCcsio/W5RXV6dJYzJZKWm1ix6jIx9r0lsfbVrp5o0tjwT6Yi+v130k9W1/Ijfzavjce3a4Xl1Xv33z2jeW/7L7VEcc/lYKPxRLq5xFADmvF40jgIvzdO9cRQADnXGxcXLauNokbmTHnSpV+Rj72+/Pn9/1jxWaoZZs8e0kpWN38E+RNVlY5Rnds3rdHl1UGQ93xuzzdpr6fquxuQB+ep4Yub23TioYRG/vhSvDb/3azGvzkGIg5WKrzRyNPY0rFxBVRd16acb/IPupZ13M/lHRWmVowAw5/WicRR4aZ7ujaMAcKgzLi5eVhtHGyVOIXIwPe4SofzaU2lSl6plaqe0bdFiVlbPfdTYElEbZsV2ebUT+1sOOjvLx3xtf5dqZm48SyDVqnh1ZYi6tFlVaNgXB0oNq3GdcrtK15f0WC9JlNN1pBMHPJRXdzWSVwP4B3m9aBwFXpqne+MoABzqjIuLl9XG0SWZko3GJFZpVWZNmT3qqcyyssWDN9K5i26/dnrh619x+nfriArJJFDtTJleRmY45rTZqXrWYlou2dloQKSei6V1Q6FcPYLxas11M4eXbH+UGE2obVBOu2JMoaOdGewGZLz6IY5XA66NfIvB9+8DV5MCeTWA/53Xi8ZR4KV5ujeOAsChzri4eFltHP0e5aiL6etPU9WzbE0J4WIeGC9F5nlLP68WS8hcMR7XPHyFip0l1cqE9w2UsuVZTnu3YQ9RO7sy1YDFgdI415dqWi4RWRmZHXThkqMAMOf1onEUeGme7o2jAHCoMy4uXlYbR4Fn4xncOAoAc14vGkeBl+bp3jgKAIcir2Z5xbPyDG4cBYA5rxeNo8BL83RvHAWAQ5FXs7ziWXkGN44CwJzXi8ZR4KV5ujeOAsChyKtZXvGsPIMbRwFgzutF4yjw0jzdG0cB4FDk1SyveFaewY2jADDn9aJxFHhpnu6NowBwKPJqllc8K8/gxlEAmPN60Th6tPFPJKz8QYft1v/exDr9lYfxDzps/FMX69b/MMeBYgS6vzQx69fMeGnW/bp8jH/Co/6tkLt2/x0Qnbi9ohW3yf6HowBwqDMuLl5WG0eBZ+MZ3DgKAHNeLxpHj6bkrcuB9Tf8H02TlLLeGmtbStBZNQVVkhandym0jsymRiNrBrj9jzjGkVH4vr8imVSILNarMaz90gcWs+MXbW9qFl4PXgyuyJF/9NJrFm2vaIXKSY4CwKHOuLh4WW0cnftrn0Pf/l7yl10nqn6Lqssn0z9qY0912PYtfNFfG9Vn/HR/I03g5CgAzHm9aBw9mpbNbiXU2quVULlZt49kHtXRKbFrXGLXKIm6zM66rrlfvyaNdbjbDoI2ozxMiWtnXP/jsO5Tg3GnUH/HGj04UeUtO+2ohC69T2MXVNrK/jJueepyPWU8RjQauky6ZHHW5eMazObF82y2dKXpaW12tHmlwaKzouRa124qJzkKAIc64+LiZbVxdJW2je+v7CtyC6mbTX4qHHbksWq2LJ6uLTNrzPuJcXOttCXnLUW3/V+33G1NPWRUN/ax7ug5qtuHdHtTs/B68GLw+6LAylEAmPN60Tj6Ve4FVa75Wzh1vPyq2VG4XGIxjv//R7fd1Oy0Pg7ZqtnSrZW2Szu1YamcWMm7V8NiXq0qxvxTuk7d1a386lfYPqSqUal4jqoaqe2pjlJXXY7AFnVsPZ7Xb/3tdvWue1l1fX655ts5ShvHp2tnRxci+pVzyS/scqvwD0cB4FBnXFy8rDaOFrGad7tdt7sHbRvjDr1bl6yKdrXYTrTBdK+Kt5w46La7ddTmcaOV3LfiseqqVUTJix1cvAvp1LGS74zqd/o43kiptPFWKakZtWHj3dV4jGg0dGuiIY2z7n66v08UUjkKAHNeLxpHv+qWzXGtntGip5Irrd5aQmfJatIKGauoltl4HFXr8fqem82u7a/Vdf0Sb77XVv/Zbdfzah1T4zpSZ+Wr0ePFXck72tJLMzkUVdTw/hHB+L+9mh7nePr5klvXoz1/NmjVmEF1Ki5EPMiOzyaGzs2hXn+6SOOZQ3R3174rTq8cBYBDnXFx8bLaONpoxfdrGzy0Na7QplXFfvbxO7bD60/KZavGDUz7jY6vm+IWuVPGY229o3En6zY8FaI9e3YX8s1R3dFH1fgsn+7vo9KSowAw5/WicbTw4tlWRT19dL0aU0ftFBGp+04n1t54/fJxXaJVY+aEsxQu1WLVZp1Yd6Uorcvu4pj08R6Ld9R0XaHXd7RKDbsu+teTo4ZrMy6XWPejhOXdahyczlivWps7oA6IRt72NwczXiPZvMUkVsXetqz+n2XVsYpB1OMobVZU5WLbketPR9pJay/CekfuinMrRwHgUGdcXLysNo422pvrfpYbWH119jn0PtpmchfRnURsctpdVLWOGe8q7u7Qnbql5Y3IuGPppcVivXNHc29buo5cvwv55qg+2segbsZZVdTwb366v8+13YWjADDn9aJxdG7fqjVbtHNTyyW6rrRaNjfKwlWmo1/lmq9FuOaKqdue9FStmu1oEkdm+RqfWlRXbKXBWZHF5uBouHJ/abtwHPglH3a8HZZWhkhmfQx5bnfMrK6g1qrkFYuTStWNxV6vXXS3bd8P3Q8EnZUcBYBDnXFx8bLaOLpEm99tJb/urFs+h94nd9nYS/QdtZ4u6rai2e1LGu8Mct96e7/ufO/Xzfrt+qVt27YXbwjGnZJP9x29qXdsut+Kx1HarKjvi0ZUjgLAnNeLxtEJrXjrS/oiLaS3vaXPr/IneqLY2/fiXn69ut5bMKPkOOXy8eU3QcaSqw1Cm5fK1Dq8nlerUrUnz4rHd3e03Dui5nigDVQnRmeisNggamN82s3dHW2kdmZRqj0KibGsv9x03NFW1J6u0GFja1VXxNWdlXI2XtngAb/Nmyiz0kf5UYvac32yrZuiU5KjAHCoMy4uXlYbR7+KhTv3Y6VPWsq1v9bHOv47tOVEaZ+x68fGeds9tIdpu8qnIXawbvfKY2ayI/VE3V4oJQ56KfoVzYgbnYisbPld9/VUJXhTnIxMHLlvVHf0UaOa+67vNv7VT/f3UUuSowAw5/WicXTibso0k4t2rLnKpu4ugNoCZgdoXY2NKf5zd3uqDa67kja+mt3p1Wu91zX7+s9ztAOu72jaX3RYlpAlq6nxkh6MPdLgrPRitLijRRXZEu1rswZ3NEqhDtSiLFDDsihadbuF+TOwMc61DWpkPWBxZFbuAb5PTU2OAsChzri4eFltHC20kcSKv+Nz6B2iqChHu3pUUTf+eCkeKx2stwLVjh06qReZZ+YOrT9PUl9KeUxQ91WItueVTf07o3rUXUgU8hSf7m8UhVSOAsCc14vG0SVaRVd2n0WxwLnor6uc4jWyuBLmWj0z7kpVrtLaVuKBCtSuVLdX0fEhVuY48vYzWH/aWc/V8ZWq0OmjlW0ld7Q6Vp2unXXnTbWRqm69wWncpBavde1gDHsUPu6e404XVvrVyaup0rrJsEiNX58GI1WXHAWAQ51xcfGy2jja5O6V+3E8zs0mt2o9WNk4N1I52rGiHn2hqo1KLYmN7v0zdpHl3SsclVdrI1RPcxDGYnNM+HR/URb40Kf7+7i4xlEAmPN60Ti6ZOPyWOmUWOL0u8fWra+EUURWra1hdqQ2iEVxysrPgXubKNtu0Gq/sqMpqPLrbhWF390gJKvQttuliIv7nZqajVcbVF3dN7sG66VrQzfQ5+nZI52r3/2poNoQR9bBWdyX1a8cja7xYfHch1obHkqtfU7jKAAc6oyLi5fVxtGv1tf33HiOpb0nC9fmWpPexT0792Ads6juZ2m8F8ldSi1Z3PUzw4waY2vk0/1aae1gDFoUvvHT/X1UUXIUAOa8XjSOLtG6d3d5XKRFO/esWLpzhddLd4vNBTMX88UdsJMpq59/3ZWiGXXRjpZEq/QjVLky12PWN4ioq67n2p7y4Hg6W+11ZOwR+cAv3OR+5+c3GoSuYWP5G8dWo9TVW6n8GBz9wpe8dtrj1IxZG4L6lVeha3xYOTfpmPV2bhflVI4CwKHOuLh4WW0cvcl1PORGEmKT2LKjf8firpmVZsI27kN5G7F9hw5xVhT3dvu9ZapUp3fixIjnUKiRfLovB366v4+akRwFgDmvF42jS7Teduv5RlqW69KndbtbmddFIded4/Z7zh7dLPz8664UPcqq1ZJoVV2ZtYxnl/Pcjzj39kNV1xIb1ZUHd9uTno4LvurVHtGdItt3tLHw2Y7fUcu7ehfV7TKe1sbP2hDUr7tW2qmK4hiNeRSYbdhHNSZHAeBQZ1xcvKw2jn4Vu05d8bVJ1O1zcT/QllaP3KjbMlVOV4j2sIh3u0tuzPnAL9ws7rI6MoJ1c62Pu/akKC1q59P9kcqPwdn36f4+0aTKUQCY83rRODrQEhoHjMuj1sPrufMlUUtrJqJ6mjYug7Ndb4XaFvXmubWubrd6f4vmXf/hU67Mefrt8D872kpencFue1rcrUIdmR/a0e4Or1q+cvmStrDF8Z+1YdQ1fguNTI6tmlEjj4pzK0cB4FBnXFy8rDaOfqVdJ+8nFvfL2ZYWtt8EBJ2VW87GfVG0Xam6jTu0Ijqlbq7at9SMxV1QwTi47qY6Kwdqy13Io6O6o4+h68L/dRdSG7/9LmSjaFLlKADMeb1oHF2i9TZX7KT18HrufEnU0lq3gFwML+2fXuc6uShr126iU1Zq1PFV1/JuU0i5MnfbWb4UEf2Wk65AjUP2sdueuqcp4tnxsc2p2ynUeL/WjLuJCrybfO7e0artO9ps5Ge6gU3q3fq0mYkTK0cB4FBnXFy8rDaOfrVvvwyP5k7ab67bbNtr44G2n7qf1WTYZ97Ue5fFVq3njXVzrTvf4i4YUT7d9/O5Q+5CNoomVY4CwJzXi8bR42hRlW55r3uKDut2maAl9Hb2lyW3xiWXWRUeuh0naQGXcXHOlTnK6V7VPuIzv7a2e2lmcbfqhmXxmG6nWNnRVhrZqZcmdPUu0rDXYemq27KjdY1fl1dzdP1U5lb1lko7KiE5CgCHOuPi4mW1cfSrfRlgGDfmLTIdjQ1IO58eqxk13hVeq1vZjWab0CxdXN8Fc0fXjqvm1Zciwqf74xyod0KHuPXpD0cBYM7rRePoobT86pdNuJql9TM2tdxl6oq9uH5+Xyzji5uaVmZVvWWR3+3wLWAfNePurifa0cY2K95t8TOeD9s6rubNLoRuhDY2vtL1TY4CwKHOuLh4WW0cLRZTstFiBrgYX6f9KU7UrqNNRTcW9bEOq7cF2mCyusXadcxsPxvTxZq43s2rb7vttW1+YRi6WsK+Ud3dR1WXDcg250vXym5m3QwqOXX1LtJlqsPSVTe7Fju4xMZRAJjzetE4Crw0T/fGUQA41BkXFy+rjaP/n0j5Lr/eana6RU0Ud4u8evHzZuWTs4+EVbVHb0Oqudshffw+NeNvfrq/kS5BchQA5rxeNI4CL83TvXEUAA51xsXFy2rjKPBsPIMbRwFgzutF4yjw0jzdG0cB4FDk1SyveFaewY2jADDn9aJxFHhpnu6NowBwKPJqllc8K8/gxlEAmPN60TgKvDRP98ZRADgUeTXLK56VZ3DjKADMeb1oHAVemqd74ygAHIq8muUVz8ozuHEUAOa8XjSOAi/N071xFAAORV7N8opn5RncOAoAc14vGkd/0uwPT8z8unx0f3/hUv7S9RZRY/c3IH/C2Cr9VcXtfyZDf3pj+/ExMuMfm4jg9uFVC//3v7Lx92m2J0cB4FBnXFy8rDaOAs/GM7hxFADmvF40jn7VZV9K/64p3a9LTQIjfb2WcC8t1GHbcz8dXxPjSB27yLqxhI3U8Wtr4+Tbg5W/sKhaamqtv6e4flZHXduS6Gbh9eDF4Io/Hbx3OcacXxH1V81eKaQe7FARrz70QUnY3vJFcWLlKAAc6oyLi5fVxtE5reYbN62ks/ZtAN8Xe96OWwo8F8/gxlEAmPN60Tj6VeYw1eWavl3/11ncHGvOqcfbU82gtE2nvH9Gm9/Wt+BssPbcHTUmVR35ZKassw8O4sguOVQyubLvq521QPWunjIeI7VTalucdfm4BnNwsvF6GrrS9LQ2O9o8a7BKy8LVOz1VY2Yjo+apFtUYB49W7lJ0Vr2CY8sf4iobRwHgUGdcXLysNo7O5a4w23uq2Ai6vSQ2Bm2cKyV0W1S30WozC4t3CXq1bjZ5N7B+I4Jnd5sUfzgKAHNeLxpHv9L+lduK86vYUW7JdeZCYxYnuf3pJW1wuX/d0iXvbjOxr2VFUUsen5tptxsqnqd0NT6kbsfx+LqVXq4fVOvVoN5pNOI/eqq6ugGJcLcLZ/u3qO3Xtv729ufca9p67fEXam0dXjVPr67o2imLtyI6so7SKMYhJ89GGrpRVqGOPFpscnGNowBwqDMuLl5WG0cLLd8rq3nsLnXfSjoyyoxXP37HrrNwC1IjKU/MfVSblmrpturO+Grm4Yt14WXoKidHAWDO60Xj6FfdrqddZntevSV7rHto7oCLbrnkn9LixNsPkH3Z3bRjdhtoPo3jouV1E5eHstzMPBdbG6W8f0RwobSaHmvEamQUx3S9U40ZzJw2HuQwat8fr4XOzb6vP120ZZRqvdm8moc/ahyobOrl+oOAaw1edG1l4SgAHOqMi4uX1cbRQsu3X54bdwttP9r8ug96g4rt9sukrSjL1OnxVDcEs51ppZb3z9iW7vzs3GvQ0HV27LtPx11tHAWAOa8XjaNfaR/JVVRJjvJqnVWNuZyOz7iW6Jojxc51+RVPv2yFEYyUOdftOKvbLrXfjWu7Wntry9T1K+/hX2apwK4WZYMrqW9usjpLhVwT3K/58Fi4Sp7tTR7zeDkG4euQRsl5VgyLHkdps6Kq7lKuP11X82Rd0/HS5+ip5HjcDW+K8alzIP5P3urkuSs2tjn5tMZRADjUGRcXL6uNo8XufajePdQdqNLmsbIl6MSZqPjWBMstNvek3NX0aj5+bep1Do46vjLIryH6WDkKAHNeLxpHv9I25yOajd9XZ57p55t3Iu1it6r+iLO0vMcLsw+Ld9c4pr5BwZrgdQd0QRdy+7HsOhSLhYfFblbdLl/lud0xs7rC4qUcjRly6Iax3tXopcWzRAdoWOLBTO2IehHV6UHXR3Vk97bu+hpHAeBQZ1xcvKw2jhbd8r3+NN3dLNPiB+eLul0tNpv6cb5qrJuc/sFVLVn3PeONyIvp8mpdo4is7PovIDpYOQoAc14vGkcnbjtMHHPN1rTj1ORtzKu19na7W7eRzah8natytM9mOqd0a9zOohn7auzS0agoynn/jHOvdUeBOkC165SgtuVZecxbbM9lg+4KX7exwTpsHIEcGY3VSjl1YB0aqJCUY5sXIh6rJbMdVu3pLkqoJYQ4rPuxBR2gf0YevVA56s6Wlq+IAitHAeBQZ1xcvKw2jhZavv3y3HrOVm9HttANSrdfrmxdaqSqiDp0OzL+q7OgksPdPft5aTPOXfybG/Cz0GVNjgLAnNeLxtGvtKfE1lM3MgV9WrG+FYYxaVSkOzc3sljC6xqeyVhmjz7hJl4dl/qxxkUq8NaQP67battbVU7uLFI333iauZ/icbw6pXh37iiHYmNro8DY6HXK6NZ2j5vOiitY26BG1gM07NmdqhvGmhX7pXhy63JtfJ0n3dyoJcyo5GyhbmByeMdrvdG1NYWjAHCoMy4uXlYbR+d2rObaV8bNo96jiLaZVPe/oB1FO1MeqQ2sbl0hHl0+rv8ES7/jpYqXrhvt7RPg7MJ4PzFuvX6hvFTPuu2nviFQybUv8WotJHu9r+Rrm1ap6ixN4zaO/4u5jdAfjgLAnNeLxtGvtL9cV+S36zeusYPEQ/8ceETfLtqGtJ7PlvcUK/OYCkYJ102rrNLdphbqzhJHapuop6jGmtSJs76ve+V4WGaqUZKKUo3RsHjwEQ9uJ3bJ4WI3VbgK1IDUwnXiIjV17JRa4tDXwYn2ROHjd+O1kKTdcIuumyE34hXR0Li42U01/tr66yck/fadl9LPl+iYPFdPo+efvz/GYdnu2tbCUQA41BkXFy+rjaNF7EO5SYRxk9MOp71TkY52gplxdw+xgd12ooWbkhS70e0W4k/bgk687Wt/dtkU7Yubly7etX/xaber1Uq1hbtJ12qvba53FXmwiuqe7it53TjgW856du5q4ygAzHm9aBz9Smt17DjKyrTFvF8zaP9gVPz38/fndbG/Ltj979lKOj1eVYErm2ao+0VsCbed5LpZaHmPxqxkj+MWUKnNY+11wxprFL3qE27qkfFUhWjHqd1c3A1d6D3a/rLBOrf++3a1IY6sO+/iyOgS5IbYNT6snKu8Os/VU13r+jipcLUw6q21SF5KPx9kv4KGTs2LMsmrAfz7zri4eFltHC20D22xfjOhXTCPcXCyoyg9rhtG3a1ndMysGTPapHO/73RbaVDLsxZVOut+3U21ieZh3yx5hSrKHqmi3Rvws4g+Vo4CwJzXi8bRr5zIXXew639ugT8bh/4Fcpy7vsbqeB2jx1nUIh2jVonOzWRMG8RsD63GvWZRTfNqTpgtWeygjsyXZq3qdqUZNXVly1P50ZqPSCwnn4CvjIw22RyKrvFh5dw6jKoua7/b7HonkOqAL4pi46zFnxQYW/6QKK1yFAAOdcbFxctq42jxnX0oaPvRbhqbhPah3Bq1J420ndQNQ82QxRNVkZoR21WcPvv7mePp2t6k2xprvVUOyHr368YZRdW7im+WvGK8g1FdO4p6IrfB+8NRAJjzetE4+lVuLvqPtg8FtcxqgV3/ALQuyzq37kTxarcx1fLrtpt7yvYNoiaEK2py2LVQHcyncWTuL90twaxVdStcUduwrmuhmqGnKyOjjty1eG4dxnhcb1HuNjvqrcfL+pioF6pOza5HdsP+qCitchQADnXGxcXLauNooQU9t+RxNV/f3et+440wTr7m1GubULdpxfaTT1VInN7VqIpSvDo2TMfMbi/UNZ2ex6j7K01d734Ol5L8WvU3S16h3Trve4I6XiOvJzpYOQoAc14vGke/0qYTS7EWbdFPYMWi+vH7U//sOoJ3N5cvW+G1umtOGOoeJzpGi3buI3FAJmPbN4j1jS9F76KK+s+vVHvEr3VfrvFos34COeutbYuns1at55BJTV3ZFtM4hmn7yHSNX6HqNCb65/EP7eYa266WlTFRdfnSuKdvb/miKK1yFAAOdcbFxctq42ihDeOuLXtD0IYXx6/v8bG55oYx7j25w63vvuPmuuX2otuudMpi7+TuFq4SQrcFfr/kmXEP1kWskddzHeLCUQAn4Lf94298n9Y4+lVuW/pQuObGOiv2lPp03Ji0AufWo4PrjqDtoJ6oY7RoLyZR2zeIxY0vmlQLrKWpOqWsteV6rH9DnvXq4AhVY6u6EZgZx2FG46NGOtRsH5nFgR1pS43G50wYB3O9um60ZZZX10tfI3VYNrZ8JuqtHAWAQ51xcfGy2jg699BqHntJt+1pcw2zElT+tYLL7ffC3DbsceOJDWmlDdr89M14PXfx9iK3TD3tduvcR3NL6zbIu1u4Chx78f2SZ7q8Wk/D3Xuap6Y+JkcBvDq/5xtHt/E5jaOF1s+6MosW9i6uDa7uern+d7liboXVmEpF5PJx3baCis0Cpa7q3UtbZFNjc8zHor04jqktz90km6rDchzqtpUlyDiGKYuVbqwWqbO1zV11W7bOrvGLxop0I7FiLLBu7l1nx305xrD7Q9ZVnTndJdvO5zeOAsChzri4eFltHJ3bsg9J7D31MG1O1ypufxXjtvX0u0LuN9pWc/+4u8t2G2qIJurXydTNdTGvzsZUtcZsedKr44mzTU4dGXvx/ZJHsy3/7hg+O/ezcRTAq/N7vvALG/iExtEj5K60ffWuYhd4a3/VIk7u/pKF9o6jVnXtON3OWFPBv2OxGTMagTF5VjzT/nW6Rjs+vH6Iaun69c0rGDdL++aVaLYnRwHgUGdcXLysNo7OaYe4u90qu9OeMbu9qB+7rhRYDxvlicrJ6y41ZqeycdvGc/HVbRwF8Or8nv/Kr93joxtHgZfm6d44CgCHOuPi4mW1cXRuy+e7+elsZrYrafM3P3ZdMWbat0ZFXdFAvJrb/P3DUQAn4Lf9V35tlQ9tHAVemqd74ygAHOqMi4uX1cZR4Nl4BjeOAjgHv/O/8mtzPq5xFHhpnu6NowBwqDMuLl5WG0eBZ+MZ3DgK4DT85i/8wpyPaxwFXpqne+MoABzqjIuLl9XGUeDZeAY3jgI4E7//C78w4YMaR4GX5uneOAoAhzrj4uJltXEUeDaewY2jAE7GS0DhF5b4iMZR4KV5ujeOAsChzri4eFltHAWejWdw4yiAk/ES8JVfG/jlxlHgpXm6N44CwKHOuLh4WW0cBZ6NZ3DjKIDz8SrwlV/7yq81jv4znvpvWNQ/wf0Tfl0+vvmnp/UnS/b9Eekdf4D69ve2o8HH//WTR3m6N44CwKHOuLh4WW0cBZ6NZ3DjKIBT8kLwlV8r/ELj6CD/ZmSkuQ61P+W48lckvy/y6h1VZGtX/Fy6roQzBuqnx0fl10xVHd+Yu+oPgt4G48vf41ykuuqgKRLqlFiRF2XfyMdMiH69vb/r9G+O7a3hfzgKAIc64+LiZbVxFHg2nsGNowDOymvBV36tcbRxdKBcsUvYlNt88yvTdb8uH9dWPfiFqlK4zN+UnGf6t6/MRTU1rS6XS6R8b9cB25p27hN9qbml8+pb3VH1egarYdme5er4nAMaxu1Xvztek2dlcBY/HLl+Qf/r8v4e/337iKa/ve+7ji6ucRQADnXGxcXLauMo8Gw8gxtHAZyYl4Ov/NqNQ42jgy15dTzd/f3hImWt62VGsjemdn8tr04an67YLumN8ekGcIdZJh+i8BgMdfzz96cOm3WzG6IsdmVY6inqb+1dlrDYx8UkOaxcXBWo0upM0+VTM+pjnbXRte7CUQA41BkXFy+rjaPAs/EMbhwFcG5eEb7ya5vXDeVRXcpUsx0dEE/X0+CH1EpdV6RQS1ll97XnLIurVhLIHZy6x1i8vXcD0unG8EDRBn2RezfP7JLqtD1N1eXoxIh/fMbV6f/RtTLkWuysAR0fFsf9uuTBCt5G+jNeeP+IPsfVf2xI3eLGUQA41BkXFy+rjaPAs/EMbhwFcHpeFL5afEnBUU1xHSp5tRKneHzIzzxnaaOoq34JrCPzaerStp/+vlrVqXyNSRReP3TQ47tp5HZKKbPX6mBU2nVcPV380GHWGJ0yDmmlYe9qWRnPeskkGpxzSVNrNnPeovC3t3r6+0cE4+yr3fNNpydHAeBQZ1xcvKw2jgLPxjO4cRQAhvVBxrgOHtW8Wo8jrbp8XNM5fUV6PffQb4BD5qjxOFPHmqQpwRuTwB/Nq6/dLulclzOrrmvad8v9FK859iFU4F1R++3r8+tV04lq3opbq6//y9bqct9evIoyYwBqmevjGTVe0+J7Pz4wXkSJwq8duFWR4mCl1rOz7lI5yVEAONQZFxcvq42jwLPxDG4cBYAbLw3FGNSRoy650s9jX9rXhrvTm3WRTWXJ+bgG1/NqtW2m5oEqxy9so4Q5zu0y1VsO+BGZ5CVSv1tKGIPXJfbfp7x6/KRAHb99v7tcnXoaL2WX86yuR2Oe7E8HbmluLTxr9/PCHzpcL5E/lIlgV/7K9+crJYd6lcc5sE5nJUcB4FBnXFy8rDaOAs/GM7hxFAAarw5zPm6gvDpTI1HW9GhKs5ESP9VYH2/JqzuLaW2Us5h57lZriZGJB5H46e9Xr+eHO+zOq1MdupXMtlKlYy9q7/Q4q44hiDS8mzxb8uo85fJxLTC/PBe9utiYjeLcylEAONQZFxcvq42jwLPxDG4cBYDCC8SEDxp0qZEo0epynqOoRhWux0q9Ivb9vFrpXxf8pqwlhkUD5S5EAzc08iGqq1L5uiL6OYL1rqltO/Jq/Wq0a5VLbn39c4FEdeXkqVcwLNYeHdTxetWlD3ZfPp/fOAoAhzrj4uJltXEUeDaewY2jAFB4gZjwQYMuNZIfzatVuBKn+ng9rx4TzpnfH5c4+JuNVwNc4ldKFDOBv5u1PiSuwduvy+fne9ReS44exWhc3q9N2pJX19z1bgt1Fda/r16kuq6jMDdrrdrWXSYNezcbH+JaG0cB4FBnXFy8rDaOAs/GM7hxFAC+8hqxxEcMahrm0FJeHXldl57pmPBoYqkMWTlzzaXX8+pOHBxtjtxTbVg58vvU4C4/zO4v5o27B8cjH6dF96NXLStWf/Wz0+t5tUrQWWNeHUWMTdIpkT/rQZYfByuup+tcV5Re/nTWipXvq8mrAfzjzri4eFltHAWejWdw4ygADLxMDPzyYMyr3yKFu+WrNa8e87FMHfdlQcrZRJlbRDI9jmpu+eBytqxEN5rnB7eUc3bw9y3m1UoLZ5XuHhwNQn5f/f4ZVTtZjV5m3qvaFzPeHJx4/FBerX+83V30iGzMq9Vy/ZnrWsWsqVHpOHqX6+8Yv/7DdT9/XDS4chQADnXGxcXLauMo8Gw8gxtHAWCJV4qv/Nog82r9J0RSpL+z1aVYYxaklKke9pAoM85V8ha5oh5UY40hj4/HyiEjZ1Mv4vGYNH5f5tXK9qOaj9/Rhsvlmsu/xdPFzHnH4GTarIqiLx+/P2Nc3m41xVDczas1DjluG/NqdVAlO3Sjod6SV2fD1IBaxaypQWflwer12IyHxOmVowBwqDMuLl5WG0eBZ+MZDMx5rgA3nhaFXxgot5FMfhTMjFGpUUS6lCzyrllWeVfN2a7l3FLUTAiVYuVTybwr25kZb301dCfuVgdHouT3j6jF6XQeMKaCjw6O2q88XI812hp8la/q4pgaTOP46LBshg4YB0fFdhc3bMyrdRXUcuXVtePZZj3tqAq9qiO/k1SHKKFyFAAOdcbFxctq4yjwbDyDAWAvryZLIrcZ057MGFOX8GxMukZKvbpzaybp0FdK3rqcsObVEs1Wir5S1Bb5UUI3Mup1LTyPrG3bMTgxLLcfFIjE+Do4IarWWGUbsi6p6auOrG0QtaQzXu5Fd3uR7clLkBe3o6bqKju0zaPX0ac1jgLAoc64uHhZbRwFno1nMADs5dXkf5VpVU0It9CJ4zeZt1gU9UDetZty+OtIPv5Rwj7KUbd0UG17dFTvirx6Vnum639t/DdSq5KjAHCoMy4uXlYbR4Fn4xkMAHt5NQFemqd74ygAHIq8muUVz8ozGAD28moCvDRP98ZRADgUeTXLK56VZ3DjKNB4ZgBznivAS/N0bxwFgEORV7O84ll5BjeOAsCc14vGUeClebo3jgLAocirWV7xrDyDG0cBYM7rReMo8NI83RtHAeBQ5NUsr3hWnsGNowAw5/WicRR4aZ7ujaMAcCjyapZXPCvP4MZRAJjzetE4Crw0T/fGUQA4FHk1yyuelWdw4ygAzHm9aBzd7P0zSnj7a3+rGTiEp3vjKAAcirya5RXPyjO4cRQA5rxeNI5+dfkYDmuJtPLqt4h8visC/Ps8jxtHAeBQ5NUsr3hWnsGNowAw5/WicfQr5dUfl18f1+Mv8fjz/U0vKa9+f4sTPxUB/n23yf6HowBwqDMuLl5WG0eBZ+MZ3DgKAHNeLxpHv8q8Wg/qT33XvHp8Ffg3Xed64SgAHOqMi4uX1cZR4Nl4BjeOAsCc14vG0a8yr47EOlLoj9+f+ta6cw1dLvHf378/fCbwT9KMTY4CwKHOuLh4WW0cBZ6NZ3DjKADMeb1oHP1KefU1Y/516b6O5ufA8Yxuk/0PRwHgUGdcXLysNo4Cz8YzuHEUAOa8XjSOfqW8+j3y6rf3/JfVQl6NZ6TZnhwFgEOdcXHxsto4Cjwbz+DGUQCY83rROPpV/hz4+C+oa16dv9UsjvTLwD/pOtcLRwHgUGdcXLysNo4Cz8YzuHEUAOa8XjSOfpV5dTyO3FpHLoqs+vJx/YfY/BNr/Ms8XxtHAeBQZ1xcvKw2jgLPxjO4cRQA5rxeNI5+VfPqeHz7efB3fUfNz4HjGWm2J0cB4FBnXFy8rDaOAs/GM7hxFADmvF40jn5V8+q390/l1RGJdPr98zPz6nhJQXJs/OOuc71wFAAOdcbFxctq4yjwbDyDG0cBYM7rRePoV8qrUyTYSqE/3+P/xktf8uruF5sB/6DbRP7DUQA41BkXFy+rjaPAs/EMbhwFgDmvF42jXymv1u8D1y8tI6/GU7vO9cJRADjUGRcXL6uNo8Cz8QxuHAWAOa8XjaNf1Z8DF/JqPLXrXC8cBYBDnXFx8bLaOAo8G8/gxlEAmPN60Tj6FXk1Xsx1rheOAsChzri4eFltHAWejWdw4ygAzHm9aBz9asyr869tvf369f7xfvu/Rl6Nf58na+MoABzqjIuLl9XGUeDZeAY3jgLAnNeLxlHgpXm6N44CwKHIq1le8aw8gxtHAWDO60XjKPDSPN0bRwHgUOTVLK94Vp7BjaMAMOf1onEUeGme7o2jAHAo8mqWVzwrz+DGUQCY83rROAq8NE/3xlEAOBR5NcsrnpVncOMoAMx5vWgcBV6ap3vjKAAcirya5RXPyjO4cRQA5rxeNI4CL83TvXEUAA5FXs3yimflGdw4CgBzXi8aR4GX5uneOAoAhyKvZnnFs/IMbhwFgDmvF42jwEvzdG8cBYBDkVezvOJZeQY3jgLAnNeLxlHgpXm6N44CwKHIq1le8aw8gxtHAWDO60XjKPDSPN0bRwHgUOTVLK94Vp7BjaMAMOf1onEUeGme7o2jAHAo8mqWVzwrz+DGUQCY83rROAq8NE/3xlEAOBR5NcsrnpVncOMoAMx5vWgcBV6ap3vjKAAcirya5RXPyjO4cRQA5rxeNI4CL83TvXEUAA5FXs3yimflGdw4CgBzXi8aR4GX5uneOAoAhyKvZnnFs/IMbhwFgDmvF42jwEvzdG8cBYBDkVezvOJZeQY3jgLAnNeLxlHgpXm6N44CwKHIq1le8aw8gxtHAWDO60Xj6E/6jErf3j/f3/z8OUUPLtfh+vDzVb8uHx8X1uR/iKd74ygAHOqMi4uX1cZR4Nl4BjeOAsCc14vG0R9z+XCNP5dXK2+PKn4olX3/jC68Rflb8ursL3n1P0UXJTkKAIc64+LiZbVxFHg2nsGNowAw5/WicfQIkXFG7jnmz0o1nzevDuraxu+rlYeTV/9TbpP9D0cB4FBnXFy8rDaOAs/GM7hxFADmvF40jh5hlj//dF79F5BXP7vbZP/DUQA41BkXFy+rjaPAs/EMbhwFgDmvF42j35ZfGpNXk1f/g26T/Q9HAeBQZ1xcvKw2jgLPxjO4cRQA5rxeNI6WxDhlGtn9m+H898bvb/H0czxRMpHW6W9v11PS74+LXg1ZoKjYLh5Vv71/6nGEfn++xwFd1bXMkM2usvDQnV5fCsql9dKt7W878upflw+VELJ5s3pn/Q15bjdWoWs2FnmwGkcB4FBnXFy8rDaOAs/GM7hxFADmvF40jkb8lgF2yXB+6do9VXbXZXTKA2ffV+fpejomk0odVUgt+Uu2GS/cMtKuFjW+y6ujqDhNGbgKqYmx0uY8YEurduTVOrE2bL1evZpP4/SxzRnpnmJFDHLlKAAc6oyLi5fVxlHg2XgGN44CwJzXi8bRRqmaXzs0r85zu2xwTIm7DL9LcRct5tUpmnhrrFNZGVtbC9HjWZvXZV69OCDr9eqpmqpmZxuCmtENO7aIEa4cBYBDnXFx8bLaOAo8G8/gxlEAmPN60Tha0ldlj10y/EN5tR4vZrxdXTW9HK3n1YuvKjiK9iuhjcd5yo68WqWFbkBW6tUB2V896JqtwZRZfzHykDWOAsChzri4eFltHAWejWdw4ygAzHm9aBQcM8mXyau70tLKKUfl1e/vccb1n2bX3q3Um+KYOOvtMq0xWxjGAcdIY5UcBYBDnXFx8bLaOAo8G8/gxlEAmPN60SioVLBmcX8nrx4z2KDMc/z+Vk8XzZJVVZ3tjMPy8SzflsU2PJRXq2TVUgdqvV5RCbUBizR6Xd6ORTGYlaMAcKgzLi5eVhtHgWfjGdw4CgBzXi8aBZXrxlMlcvk00z8lqF0y3OXVNX+O7DGz0JW8Op4qh8zkcExEd+fVXTLcNSNz1zwrCslm1FZlf7OodbXBeW6Xos/qTREcq1MXsqhuJLEixq1yFAAOdcbFxctq4yjwbDyDG0cBYM7rReNoyfdEP8McDzLlU+4ql+vPbl9frQlw5pCi9E+poESmqFRQTzMh7KtuZXbx0OWQXY2SaWdtcMpXQ22M1My81v5+/Vb4emTXgFHtb5z0/vmZheS56/XK2/vn+FHCOCBhPBcjD1bjKAAc6oyLi5fVxlHg2XgGN44CwJzXi8ZR/Ev0eQEJ84E83RtHAeBQ5NUsr3hWnsGNowAw5/WicRTbjF81V3e/zb4rv2P/flGoNKrJUQA41BkXFy+rjaPAs/EMbhwFgDmvF42jwEvzdG8cBYBDkVezvOJZeQY3jgLAnNeLxlHgpXm6N44CwKHIq1le8aw8gxtHAWDO60Xj6EFc6PNzf/AqfF0bRwHgUGdcXLysNo4Cz8YzuHEUAOa8XjSOfo/LekXuIZ6cL2fjKAAc6oyLi5fVxlHg2XgGN44CwJzXi8bRXVzEObjPeE6+io2jAHCoMy4uXlYbR4Fn4xncOAoAc14vGkcf5/PPxD3HE/IlbBwFgEOdcXHxsto4Cjwbz+DGUQCY83rROPoIn3lWHgU8FV+8xlEAONQZFxcvq42jwLPxDG4cBYA5rxeNo4/wmUt8xPNzfyZ8EJ6Hr1zjKAAc6oyLi5fVxlHg2XgGN44CwJzXi8bRzXzawC+/FvdtiY/Ak/BlaxwFgEOdcXHxsto4+gNcwfNwu/EkfNkaRwFgzutF4+g2Pucrv/a63M+v/BqehC9b4ygAHOqMi4uX1cbR47jcZ+ae4N/mq9U4CgBzXi8aR7fxOY2j5+A+F34Bz8DXrHEUAA51xsXFy2rj6BFc4gtxx/BP8kVqHAWAOa8XjaMb+ITCL5yD+1z4BTwDX7PGUQA41BkXFy+rjaPf47JekXv4F7niV+QeHsSFNo4CwJzXi8bRDXxC4+iZuOeNo3gGvmaNowBwKLbGA0bABb0u9/MnuaaTcef3cimNowAw5/WicXQDn9A4eibueeMonoGvWeMoAByKrfG7I+BSJnzQM3CLJ3zQ0Vz66Xk4HuSTG0cBYM7rRePoBj6hcfRM3PPGUTwDX7PGUQA4FFvjt0bARQz88nNyHwZ++TguF43HZTOf1jgKAHNeLxpHN/AJjaNn4p43juIZ+Jo1jgLAodgavzUCLqLwC8/P/fnKr32bi8PAA7SNz2kcBYA5rxeNoxv4hMbRM3HPG0fxDHzNGkcB4FBsjftHwOcXfuFVuFeFX/gelzXn416Re7jKh27gExpHAWDO60Xj6AY+oXH0TNzzxlE8A1+zxlEAOBRb4/4R8PmNo6/FfWsc/QYXNPDLZ+KeL/ER9/joxlEAmPN60Ti6gU9oHD0T97xxFM/A16xxFAAOxda4fwR8fuPoa3HfGke/wQUVfuHEPBCFX7jHRzeOAsCc14vG0Q18QuPombjnjaN4Br5mjaMAcCi2xv0j4PMbR1+L+9Y4updLKfzC6Xk4Cr+wyoc2jgLAnNeLxtENfELj6Jm4542jeAa+Zo2jAHAotsb9I+DzG0dfi/vWOLqXS2kcxY0HpXF0lQ9tHAWAOa8XjaMb+ITG0TNxzxtH8Qx8zRpHAeBQbI37R8DnN46+FvetcXQvl9I4ihsPSuPoKh/aOAoAc14vGkc38AmNo2finjeO4hn4mjWOAsCh2Br3j4DPbxx9Le5b4+heLqVxFDcelMbRVT60cRQA5rxeNI5u4BMaR/f6+P377dfl9+e7n0+8f/6+/Hq7Hf7/c88bR/EMfM0aRwHgUGdcXLysNo4+zuc3jr4W961xdC+X0jiKGw9K4+gqH9o4CgBzXi8aRzfwCY2jD3p7/4xzP9/fPqPAt/e3KGc1tdbx1+o+Lor8unzUsyLh/vXrUg/4OWpJchTPwNescRQADnXGxcXLauPo43x+4+hrcd8aR/dyKY2juPGgNI6u8qGNowAw5/WicXQDn9A4+gjl0nGuEuPIme/m1ZFFX+sqObMioyjPR/wY19Q4imfga9Y4CgCHOuPi4mW1cfRxPr9x9LW4b42je7mUxlHceFAaR1f50MZRAJjzetE4uoFPaBx9xPtnFPJ2uZ57/bluPf24TIvK76JTHNxl2jomy/xRakNyFM/A16xxFAAOdcbFxctq4+jjfH7j6Gtx3xpH93IpjaO48aA0jq7yoY2jADDn9aJxdAOf0Dj6iC4lvvuj4JePa6X5RXTkze+RlV+u33iTV+MhvmaNowBwqDMuLl5WG0cf5/MbR1+L+9Y4updLaRzFjQelcXSVD20cBYA5rxeNoxv4hMbRzZQkRxp9S6hNX1l3QVHWnQlz5OQ6jO+rsYOvWeMoABzqjIuLl9XG0cf5/MbR1+K+NY7u5VIaR3HjQWkcXeVDG0cBYM7rRePoBj6hcXSblexXv5lsTK2Vh3fy58A75NVY52vWOAoAhzrj4uJltXH0cT6/cfS1uG+No3u5lMZR3HhQGkdX+dDGUQCY83rROLqBT2gc3SaS4frz3sqNlUvre+l4WnNjBSOLHr/Q5vtq7OBr1jgKAIc64+LiZbVx9HE+v3H0tbhvjaN7uZTGUdx4UBpHV/nQxlEAmPN60Ti6gU9oHN2gy4SVKkckk+FMrTMYUf11a/JqHMLXrHEUAA51xsXFy2rj6ON8fuPoa3HfGkf3cimNo7jxoDSOrvKhjaMAMOf1onF0A5/QOHpPlwaHMTKqmXb1GRk2eTUe52vWOAoAhzrj4uJltXH0cT6/cfQHvH/+vvx6+ws3DSP3rXF0L5fSOIobD0rj6Cof2jgKAHNeLxpHN/AJjaMP0r+aXvnbWh19X63jI9l+f39fzLfJq7HO16xxFAAOdcbFxctq4+jjfH7j6Ab6NS0hf+AtHq7cZ+Tx+Ql9HF7/rZpKqAccRfUmR/dyKY2jj4v+6kcE/Xzif/w8YgcPSuPoKh/aOAoAc14vGkc38AmNo4/QVpU/1K0ce33bqnn1+DSoTPJqrPM1axwFgEOdcXHxsto4+jif3zg6kbmxfL6/6W4gbin0IIKz1Hr2c3Sj/DufR3G5jaN7uZTG0c00htFH/Yjgyl89lf/x84gd1NTk6Cof2jgKAHNeLxpHN/AJjaOP6FbgoL1sZefKRDqW6/e3y9t7vxtqGSevxjpfs8ZRADjUGRcXL6uNo4/z+Y2jS3RnoFuHMUnWq7Pbgsz9UtxhdIX83I2FakyO7uVSGke3yX9up9uyyJnv5tXjUCsyOvzziB3clMbRVT60cRQA5rxeNI5u4BMaRzfTB53dh5i5sM8WYe2Ptwp/fdw2v/o7zMLPbX8jNSM5imfga9Y4CgCHOuPi4mW1cfRxPr9x9J4x2dPdxuzLav2kXN5zxI3De+Tgl+uNyKny6u7Th/wSQ6+ONCau6eZvfh6xgxqZHF3lQxtHAWDO60Xj6AY+oXF0g3E1XtSl3KIdUJ+ixgI+LtfrH0wfS+1MjuIZ+Jo1jgLAoc64uHhZbRx9nM9vHL0nU7t4kPcKiviIQp/l5x1DHKmP6rtTdNfyEzcW144Vju7lUhpHt+m6fPdHwf/fzyN2uI5I4egqH9o4CgBzXi8aRzfwCY2j2+jj4+6rZln/ylqvxqIdS3pd8PMsWSz5cK6scRTPwNescRQADnXGxcXLauPo43x+4+ig2/6Tvj69Js0lc+4oOezk966dn8gPXXTj6F4upXF0A41Dd+ekrylWbtRyQP7+5xE73IbkD0dX+dDGUQCY83rROLqBT2gc/Su0Vi8m3rGqz36G/HDueeMonoGvWeMoABzqjIuLl9XG0cf5/MbRVbo5uB7cUruVn2dWchgvjQnkX8sPbz37w9G9XErj6D0rvZt9B/K/fx6xg1vTOLrKhzaOAsCc14vG0Q18QuPombjnjaN4Br5mjaMAcCi2xv0j4PMbR1cpDxSlc4u/ykUi1dNfkzp5Xh2drT/+p75rNPTRQzytff8XPo/Y4ToihaOrfGjjKADMeb1oHN3AJzSOnol73jiKZ+Br1jgKAIdia9w/Aj6/cXQu0ry3X/H/IkmMZC6yues/J4tMT3ldPOi+d82ksaOz4sEZ8uqup0qVI5KdraOkYET/988jdlAXkqOrfGjjKADMeb1oHN3AJzSOnol73jiKZ+Br1jgKAIdia9w/Aj6/cXRC6V+mxJ+RTb+9v8fTeH77IXAlgXrcqS9FOXHaYr79enl1lwaHMTL6Fz6P2EGNTI6u8qGNowAw5/WicXQDn9A4eibueeMonoGvWeMoAByKrXH/CPj8xtGJyOj0w8w1tdM/A840b5Y0din3mIH/XH547Vjh6F4upXF0Mw3X4kcPi/7HzyN2cGsaR1f50MZRAJjzetE4uoFPaBw9E/e8cRTPwNescRQADsXWuH8EfH7j6JL6j6hr8hyPa1KnPHBM8zI/jOj72+XtvU+/I/7yebX6mD/U3X0kseh//DxiB41JcnSVD20cBYA5rxeNoxv4hMbRM3HPG0fxDHzNGkcB4FBsjftHwOc3jg6UvOUfAsm8WplhxkP+AHPN/YISwmsd8dI1E/+TXsrP5YeqNDm6l0tpHN0mxk1f+Pv5LRKF1AHs/I+fR+xwG5I/HF3lQxtHAWDO60Xj6AY+oXH0TNzzxlE8A1+zxlEAOBRb4/4R8PmNo/dkXq0Hi7q0WRl4/hj5mAcqgXzhvHrxt6bnxxCz1Pp//DxiB7UzObrKhzaOAsCc14vG0Q18QuPombjnjaN4Br5mjaMAcCi2xv0j4PMbR+/JvDqyvsuvSAi/ZHSLP96sBDKC8Wr9zjYTS+mSxkO46MbRvVxK4+gqpb4+Ya4bMfkfP4/YQR1Jjq7yoY2jADDn9aJxdAOf0Dh6Ju554yiega9Z4ygAHIqtcf8I+PzG0VXKhCPD8/NHKMNc/G42ksaVH4f+DvetcXQvl9I4eo++rF781CA/WVjsvl79Xz6P2MGtaRxd5UMbRwFgzutF4+gGPqFx9Ezc88ZRPANfs8ZRADgUW+P+EfD5jaOvxX1rHN3LpTSO/rD/5fOIHTwojaOrfGjjKADMeb1oHN3AJzSOnol73jiKZ+Br1jgKAIdia9w/Aj6/cfS1uG+No3u5lMZR3HhQGkdX+dDGUQCY83rROLqBT2gcPRP3vHEUz8DXrHEUAA7F1rh/BHx+4+hrcd8aR/dyKY2juPGgNI6u8qGNowAw5/WicXQDn9A4eibueeMonoGvWeMoAByKrXH/CPj8xtHX4r41ju7lUhpHceNBaRxd5UMbRwFgzutF4+gGPqHwC+fgPhd+Ac/A16xxFAAOdcbFxctq4+jjfH7j6Gtx3xpH93IpjaO48aA0jq7yoY2jADDn9aJxdBufU/iFV+feFn4BT8KXrXEUAA51xsXFy2rj6ON8fuPoa3HfGkf3cimNo7jxoDSOrvKhjaMAMOf1onF0G5/zlV97Xe7nV34NT8KXrXEUAA51xsXFy2rj6ON8fuEXXog71ji6l0sp/AJ2DbUPbRwFgDmvF42jm/m0JT7iVbhXS3wEnoevXOMoABzqjIuLl9XG0cf5/MIvvAr3qvALe7mUr/zaiXkgvvJrq3xo4ygAzHm9aBx9hM+8x0c/D7f7Hh+Np+KL1zgKAIc64+LiZbVxdBcX8ZVfe3LuTOEXvsdlfeXXTslD8JVfu8dHN44CwJzXi8bRB/nk83H/8Wx8/RpHAeBQZ1xcvKw2ju7lUgZ++dm49Ut8xLe5uCU+4gTc4QkfdI+PbhwFgDmvF42jj/P5Z+Ke4wn5EjaOAsChzri4eFltHN3Lpdzjo/89bt89PvoILnEbn/Pk3JltfM4GPqFxFADmvF40ju7lUl6de4un5QvZOAoAhzrj4uJltXH0G1zQ63I/D+WiUXhoNvNpjaMAMOf1onH021zca3Hf8Px8RRtHAeBQZ1xcvKw2jn6bi3s57t4PcAW48aA8wmc2jgLAnNeLxlHgpXm6N44CwKHOuLh4WW0cPYJLfBXu1Q9zZSfmgXicz28cBYA5rxeNo8BL83RvHAWAQ51xcfGy2jh6KBf9nNyHv87Vn4a7/Q0uqHEUAOa8XjSOAi/N071xFAAOdcbFxctq4yj+Sb5IT86dOZpLbxwFgDmvF8CJ+c0AAIcir2Z5xbPyDG4cBYA5rxfAifnNAACHIq9mecWz8gxuHAWAOa8XwIn5zQAAhyKvBl6E5zcAzHm9AE7MbwYAOBR5NfAiPL8BYM7rBXBifjMAwKHIq4EX4fkNAAAA4O8irwZehOc3AAAAgL+LvBp4EZ7fAAAAAP4u7sUBAAAAANiPvBoAAAAAgP3IqwEAAAAA2I+8GgAAAACA/cirAQAAAADYj7waAAAAAID9yKsBAAAAANiPvBoAAAAAgP3IqwEAAAAA2I+8GgAAAACA/cirAQAAAADYj7waAAAAAID9yKsBAAAAANiPvBoAAAAAgP3IqwEAAAAA2I+8GgAAAACA/cirAQ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alt="" />

.准备Linux环境
    .0点击VMware快捷方式，右键打开文件所在位置 -> 双击vmnetcfg.exe -> VMnet1 host-only ->修改subnet ip 设置网段：192.168.8.0 子网掩码：255.255.255.0 -> apply -> ok
        回到windows --> 打开网络和共享中心 -> 更改适配器设置 -> 右键VMnet1 -> 属性 -> 双击IPv4 -> 设置windows的IP：192.168.8.100 子网掩码：255.255.255.0 -> 点击确定
        在虚拟软件上 --My Computer -> 选中虚拟机 -> 右键 -> settings -> network adapter -> host only -> ok
    .1修改主机名
        vim /etc/sysconfig/network

        NETWORKING=yes
        HOSTNAME=itcast01    ###

    .2修改IP
        两种方式：
        第一种：通过Linux图形界面进行修改（强烈推荐）
            进入Linux图形界面 -> 右键点击右上方的两个小电脑 -> 点击Edit connections -> 选中当前网络System eth0 -> 点击edit按钮 -> 选择IPv4 -> method选择为manual -> 点击add按钮 -> 添加IP：192.168.8.118 子网掩码：255.255.255.0 网关：192.168.1.1 -> apply

        第二种：修改配置文件方式（屌丝程序猿专用）
            vim /etc/sysconfig/network-scripts/ifcfg-eth0

            DEVICE="eth0"
            BOOTPROTO="static"               ###
            HWADDR="00:0C:29:3C:BF:E7"
            IPV6INIT="yes"
            NM_CONTROLLED="yes"
            ONBOOT="yes"
            TYPE="Ethernet"
            UUID="ce22eeca-ecde-4536-8cc2-ef0dc36d4a8c"
            IPADDR="192.168.8.118"           ###
            NETMASK="255.255.255.0"          ###
            GATEWAY="192.168.8.1"            ###

    .3修改主机名和IP的映射关系
        vim /etc/hosts

        192.168.8.118    itcast01

    .4关闭防火墙
        #查看防火墙状态
        service iptables status
        #关闭防火墙
        service iptables stop
        #查看防火墙开机启动状态
        chkconfig iptables --list
        #关闭防火墙开机启动
        chkconfig iptables off

    .5重启Linux
        reboot

集群搭建步骤

.上传zk安装包

.解压

.配置（先在一台节点上配置）
    .1添加一个zoo.cfg配置文件
    $ZOOKEEPER/conf
    mv zoo_sample.cfg zoo.cfg

    .2修改配置文件（zoo.cfg）
        dataDir=/itcast/zookeeper-3.4./data

        server.=itcast05::
        server.=itcast06::
        server.=itcast07::

    .3在（dataDir=/itcast/zookeeper-3.4./data）创建一个myid文件，里面内容是server.N中的N（server.2里面内容为2）
        echo "" > myid

    .4将配置好的zk拷贝到其他节点
        scp -r /itcast/zookeeper-3.4./ itcast06:/itcast/
        scp -r /itcast/zookeeper-3.4./ itcast07:/itcast/

    .5注意：在其他节点上一定要修改myid的内容
        在itcast06应该讲myid的内容改为6 （echo "" > myid）
        在itcast07应该讲myid的内容改为7 （echo "" > myid）

.启动集群
    分别启动zk
        ./zkServer.sh start

------------------------------------------------

zookeeper的默认配置文件为zookeeper/conf/zoo_sample.cfg，需要将其修改为zoo.cfg。其中各配置项的含义，解释如下：

.tickTime：CS通信心跳时间
Zookeeper 服务器之间或客户端与服务器之间维持心跳的时间间隔，也就是每个 tickTime 时间就会发送一个心跳。tickTime以毫秒为单位。
tickTime=  

.initLimit：LF初始通信时限
集群中的follower服务器(F)与leader服务器(L)之间初始连接时能容忍的最多心跳数（tickTime的数量）。
initLimit=  

.syncLimit：LF同步通信时限
集群中的follower服务器与leader服务器之间请求和应答之间能容忍的最多心跳数（tickTime的数量）。
syncLimit=  

.dataDir：数据文件目录
Zookeeper保存数据的目录，默认情况下，Zookeeper将写数据的日志文件也保存在这个目录里。
dataDir=/home/michael/opt/zookeeper/data  

.clientPort：客户端连接端口
客户端连接 Zookeeper 服务器的端口，Zookeeper 会监听这个端口，接受客户端的访问请求。
clientPort= 

.服务器名称与地址：集群信息（服务器编号，服务器地址，LF通信端口，选举端口）
这个配置项的书写格式比较特殊，规则如下：
server.N=YYY:A:B 

server.=itcast05::
server.=itcast06::
server.=itcast07::

——————————————————————————————————————

zookeper配置说明

hadoop2.0已经发布了稳定版本了，增加了很多特性，比如HDFS HA、YARN等。最新的hadoop-2.4.1又增加了YARN HA

注意：apache提供的hadoop-2.4.1的安装包是在32位操作系统编译的，因为hadoop依赖一些C++的本地库，
所以如果在64位的操作上安装hadoop-2.4.1就需要重新在64操作系统上重新编译
（建议第一次安装用32位的系统，我将编译好的64位的也上传到群共享里了，如果有兴趣的可以自己编译一下）

前期准备就不详细说了，课堂上都介绍了
.修改Linux主机名
.修改IP
.修改主机名和IP的映射关系
    ######注意######如果你们公司是租用的服务器或是使用的云主机（如华为用主机、阿里云主机等）
    /etc/hosts里面要配置的是内网IP地址和主机名的映射关系
.关闭防火墙
.ssh免登陆
.安装JDK，配置环境变量等

集群规划：
    主机名        IP                安装的软件                    运行的进程
    itcast01    192.168.1.201    jdk、hadoop                    NameNode、DFSZKFailoverController(zkfc)
    itcast02    192.168.1.202    jdk、hadoop                    NameNode、DFSZKFailoverController(zkfc)
    itcast03    192.168.1.203    jdk、hadoop                    ResourceManager
    itcast04    192.168.1.204    jdk、hadoop                    ResourceManager
    itcast05    192.168.1.205    jdk、hadoop、zookeeper        DataNode、NodeManager、JournalNode、QuorumPeerMain
    itcast06    192.168.1.206    jdk、hadoop、zookeeper        DataNode、NodeManager、JournalNode、QuorumPeerMain
    itcast07    192.168.1.207    jdk、hadoop、zookeeper        DataNode、NodeManager、JournalNode、QuorumPeerMain

说明：
    .在hadoop2.0中通常由两个NameNode组成，一个处于active状态，另一个处于standby状态。Active NameNode对外提供服务，而Standby NameNode则不对外提供服务，仅同步active namenode的状态，以便能够在它失败时快速进行切换。
    hadoop2.0官方提供了两种HDFS HA的解决方案，一种是NFS，另一种是QJM。这里我们使用简单的QJM。在该方案中，主备NameNode之间通过一组JournalNode同步元数据信息，一条数据只要成功写入多数JournalNode即认为写入成功。通常配置奇数个JournalNode
    这里还配置了一个zookeeper集群，用于ZKFC（DFSZKFailoverController）故障转移，当Active NameNode挂掉了，会自动切换Standby NameNode为standby状态
    .hadoop-2.2.0中依然存在一个问题，就是ResourceManager只有一个，存在单点故障，hadoop-2.4.1解决了这个问题，有两个ResourceManager，一个是Active，一个是Standby，状态由zookeeper进行协调
安装步骤：
    .安装配置zooekeeper集群（在itcast05上）
        .1解压
            tar -zxvf zookeeper-3.4..tar.gz -C /itcast/
        .2修改配置
            cd /itcast/zookeeper-3.4./conf/
            cp zoo_sample.cfg zoo.cfg
            vim zoo.cfg
            修改：dataDir=/itcast/zookeeper-3.4./tmp
            在最后添加：
            server.=itcast05::
            server.=itcast06::
            server.=itcast07::
            保存退出
            然后创建一个tmp文件夹
            mkdir /itcast/zookeeper-3.4./tmp
            再创建一个空文件
            touch /itcast/zookeeper-3.4./tmp/myid
            最后向该文件写入ID
            echo  > /itcast/zookeeper-3.4./tmp/myid
        .3将配置好的zookeeper拷贝到其他节点(首先分别在itcast06、itcast07根目录下创建一个itcast目录：mkdir /itcast)
            scp -r /itcast/zookeeper-3.4./ itcast06:/itcast/
            scp -r /itcast/zookeeper-3.4./ itcast07:/itcast/

            注意：修改itcast06、itcast07对应/itcast/zookeeper-3.4./tmp/myid内容
            itcast06：
                echo  > /itcast/zookeeper-3.4./tmp/myid
            itcast07：
                echo  > /itcast/zookeeper-3.4./tmp/myid

    .安装配置hadoop集群（在itcast01上操作）
        .1解压
            tar -zxvf hadoop-2.4..tar.gz -C /itcast/
        .2配置HDFS（hadoop2.0所有的配置文件都在$HADOOP_HOME/etc/hadoop目录下）
            #将hadoop添加到环境变量中
            vim /etc/profile
            export JAVA_HOME=/usr/java/jdk1..0_55
            export HADOOP_HOME=/itcast/hadoop-2.4.
            export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin

            #hadoop2.0的配置文件全部在$HADOOP_HOME/etc/hadoop下
            cd /itcast/hadoop-2.4./etc/hadoop

            2.2.1修改hadoo-env.sh
                export JAVA_HOME=/usr/java/jdk1..0_55

            2.2.2修改core-site.xml
                <configuration>
                    <!-- 指定hdfs的nameservice为ns1 -->
                    <property>
                        <name>fs.defaultFS</name>
                        <value>hdfs://ns1</value>
                    </property>
                    <!-- 指定hadoop临时目录 -->
                    <property>
                        <name>hadoop.tmp.dir</name>
                        <value>/itcast/hadoop-2.4./tmp</value>
                    </property>
                    <!-- 指定zookeeper地址 -->
                    <property>
                        <name>ha.zookeeper.quorum</name>
                        <value>itcast05:,itcast06:,itcast07:</value>
                    </property>
                </configuration>

            2.2.3修改hdfs-site.xml
                <configuration>
                    <!--指定hdfs的nameservice为ns1，需要和core-site.xml中的保持一致 -->
                    <property>
                        <name>dfs.nameservices</name>
                        <value>ns1</value>
                    </property>
                    <!-- ns1下面有两个NameNode，分别是nn1，nn2 -->
                    <property>
                        <name>dfs.ha.namenodes.ns1</name>
                        <value>nn1,nn2</value>
                    </property>
                    <!-- nn1的RPC通信地址 -->
                    <property>
                        <name>dfs.namenode.rpc-address.ns1.nn1</name>
                        <value>itcast01:</value>
                    </property>
                    <!-- nn1的http通信地址 -->
                    <property>
                        <name>dfs.namenode.http-address.ns1.nn1</name>
                        <value>itcast01:</value>
                    </property>
                    <!-- nn2的RPC通信地址 -->
                    <property>
                        <name>dfs.namenode.rpc-address.ns1.nn2</name>
                        <value>itcast02:</value>
                    </property>
                    <!-- nn2的http通信地址 -->
                    <property>
                        <name>dfs.namenode.http-address.ns1.nn2</name>
                        <value>itcast02:</value>
                    </property>
                    <!-- 指定NameNode的元数据在JournalNode上的存放位置 -->
                    <property>
                        <name>dfs.namenode.shared.edits.dir</name>
                        <value>qjournal://itcast05:8485;itcast06:8485;itcast07:8485/ns1</value>
                    </property>
                    <!-- 指定JournalNode在本地磁盘存放数据的位置 -->
                    <property>
                        <name>dfs.journalnode.edits.dir</name>
                        <value>/itcast/hadoop-2.4./journal</value>
                    </property>
                    <!-- 开启NameNode失败自动切换 -->
                    <property>
                        <name>dfs.ha.automatic-failover.enabled</name>
                        <value>true</value>
                    </property>
                    <!-- 配置失败自动切换实现方式 -->
                    <property>
                        <name>dfs.client.failover.proxy.provider.ns1</name>
                        <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
                    </property>
                    <!-- 配置隔离机制方法，多个机制用换行分割，即每个机制暂用一行-->
                    <property>
                        <name>dfs.ha.fencing.methods</name>
                        <value>
                            sshfence
                            shell(/bin/true)
                        </value>
                    </property>
                    <!-- 使用sshfence隔离机制时需要ssh免登陆 -->
                    <property>
                        <name>dfs.ha.fencing.ssh.private-key-files</name>
                        <value>/home/hadoop/.ssh/id_rsa</value>
                    </property>
                    <!-- 配置sshfence隔离机制超时时间 -->
                    <property>
                        <name>dfs.ha.fencing.ssh.connect-timeout</name>
                        <value></value>
                    </property>
                </configuration>

            2.2.4修改mapred-site.xml
                <configuration>
                    <!-- 指定mr框架为yarn方式 -->
                    <property>
                        <name>mapreduce.framework.name</name>
                        <value>yarn</value>
                    </property>
                </configuration>    

            2.2.5修改yarn-site.xml
                <configuration>
                        <!-- 开启RM高可靠 -->
                        <property>
                           <name>yarn.resourcemanager.ha.enabled</name>
                           <value>true</value>
                        </property>
                        <!-- 指定RM的cluster id -->
                        <property>
                           <name>yarn.resourcemanager.cluster-id</name>
                           <value>yrc</value>
                        </property>
                        <!-- 指定RM的名字 -->
                        <property>
                           <name>yarn.resourcemanager.ha.rm-ids</name>
                           <value>rm1,rm2</value>
                        </property>
                        <!-- 分别指定RM的地址 -->
                        <property>
                           <name>yarn.resourcemanager.hostname.rm1</name>
                           <value>itcast03</value>
                        </property>
                        <property>
                           <name>yarn.resourcemanager.hostname.rm2</name>
                           <value>itcast04</value>
                        </property>
                        <!-- 指定zk集群地址 -->
                        <property>
                           <name>yarn.resourcemanager.zk-address</name>
                           <value>itcast05:,itcast06:,itcast07:</value>
                        </property>
                        <property>
                           <name>yarn.nodemanager.aux-services</name>
                           <value>mapreduce_shuffle</value>
                        </property>
                </configuration>

            2.2.6修改slaves(slaves是指定子节点的位置，因为要在itcast01上启动HDFS、在itcast03启动yarn，所以itcast01上的slaves文件指定的是datanode的位置，itcast03上的slaves文件指定的是nodemanager的位置)
                itcast05
                itcast06
                itcast07

            2.2.7配置免密码登陆
                #首先要配置itcast01到itcast02、itcast03、itcast04、itcast05、itcast06、itcast07的免密码登陆
                #在itcast01上生产一对钥匙
                ssh-keygen -t rsa
                #将公钥拷贝到其他节点，包括自己
                ssh-coyp-id itcast01
                ssh-coyp-id itcast02
                ssh-coyp-id itcast03
                ssh-coyp-id itcast04
                ssh-coyp-id itcast05
                ssh-coyp-id itcast06
                ssh-coyp-id itcast07
                #配置itcast03到itcast04、itcast05、itcast06、itcast07的免密码登陆
                #在itcast03上生产一对钥匙
                ssh-keygen -t rsa
                #将公钥拷贝到其他节点
                ssh-coyp-id itcast04
                ssh-coyp-id itcast05
                ssh-coyp-id itcast06
                ssh-coyp-id itcast07
                #注意：两个namenode之间要配置ssh免密码登陆，别忘了配置itcast02到itcast01的免登陆
                在itcast02上生产一对钥匙
                ssh-keygen -t rsa
                ssh-coyp-id -i itcast01                

        .4将配置好的hadoop拷贝到其他节点
            scp -r /itcast/ itcast02:/
            scp -r /itcast/ itcast03:/
            scp -r /itcast/hadoop-2.4./ root@itcast04:/itcast/
            scp -r /itcast/hadoop-2.4./ root@itcast05:/itcast/
            scp -r /itcast/hadoop-2.4./ root@itcast06:/itcast/
            scp -r /itcast/hadoop-2.4./ root@itcast07:/itcast/
        ###注意：严格按照下面的步骤
        .5启动zookeeper集群（分别在itcast05、itcast06、tcast07上启动zk）
            cd /itcast/zookeeper-3.4./bin/
            ./zkServer.sh start
            #查看状态：一个leader，两个follower
            ./zkServer.sh status

        .6启动journalnode（分别在在itcast05、itcast06、tcast07上执行）
            cd /itcast/hadoop-2.4.
            sbin/hadoop-daemon.sh start journalnode
            #运行jps命令检验，itcast05、itcast06、itcast07上多了JournalNode进程

        .7格式化HDFS
            #在itcast01上执行命令:
            hdfs namenode -format
            #格式化后会在根据core-site.xml中的hadoop.tmp.dir配置生成个文件，这里我配置的是/itcast/hadoop-2.4./tmp，然后将/itcast/hadoop-2.4./tmp拷贝到itcast02的/itcast/hadoop-2.4./下。
            scp -r tmp/ itcast02:/itcast/hadoop-2.4./

        .8格式化ZK(在itcast01上执行即可)
            hdfs zkfc -formatZK

        .9启动HDFS(在itcast01上执行)
            sbin/start-dfs.sh

        .10启动YARN(#####注意#####：是在itcast03上执行start-yarn.sh，把namenode和resourcemanager分开是因为性能问题，因为他们都要占用大量资源，所以把他们分开了，他们分开了就要分别在不同的机器上启动)
            sbin/start-yarn.sh

    到此，hadoop-2.4.1配置完毕，可以统计浏览器访问:
        http://192.168.1.201:50070
        NameNode 'itcast01:9000' (active)
        http://192.168.1.202:50070
        NameNode 'itcast02:9000' (standby)

    验证HDFS HA
        首先向hdfs上传一个文件
        hadoop fs -put /etc/profile /profile
        hadoop fs -ls /
        然后再kill掉active的NameNode
        kill - <pid of NN>
        通过浏览器访问：http://192.168.1.202:50070
        NameNode 'itcast02:9000' (active)
        这个时候itcast02上的NameNode变成了active
        在执行命令：
        hadoop fs -ls /
        -rw-r--r--    root supergroup        -- : /profile
        刚才上传的文件依然存在！！！
        手动启动那个挂掉的NameNode
        sbin/hadoop-daemon.sh start namenode
        通过浏览器访问：http://192.168.1.201:50070
        NameNode 'itcast01:9000' (standby)

    验证YARN：
        运行一下hadoop提供的demo中的WordCount程序：
        hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.4..jar wordcount /profile /out

    OK，大功告成！！！

2.4.1 HDFS HA & YARN HA

hadoop2.0已经发布了稳定版本了，增加了很多特性，比如HDFS HA、YARN等。

注意：apache提供的hadoop-2.2.0的安装包是在32位操作系统编译的，因为hadoop依赖一些C++的本地库，
所以如果在64位的操作上安装hadoop-2.2.0就需要重新在64操作系统上重新编译
（建议第一次安装用32位的系统，我将编译好的64位的也上传到群共享里了，如果有兴趣的可以自己编译一下）

前期准备就不详细说了，课堂上都介绍了
.修改Linux主机名
.修改IP
.修改主机名和IP的映射关系
    ######注意######如果你们公司是租用的服务器或是使用的云主机（如华为用主机、阿里云主机等）
    /etc/hosts里面要配置的是内网IP地址和主机名的映射关系
.关闭防火墙
.ssh免登陆
.安装JDK，配置环境变量等

集群规划：
    主机名        IP                安装的软件                    运行的进程
    itcast01    192.168.1.201    jdk、hadoop                    NameNode、DFSZKFailoverController
    itcast02    192.168.1.202    jdk、hadoop                    NameNode、DFSZKFailoverController
    itcast03    192.168.1.203    jdk、hadoop                    ResourceManager
    itcast04    192.168.1.204    jdk、hadoop、zookeeper        DataNode、NodeManager、JournalNode、QuorumPeerMain
    itcast05    192.168.1.205    jdk、hadoop、zookeeper        DataNode、NodeManager、JournalNode、QuorumPeerMain
    itcast06    192.168.1.206    jdk、hadoop、zookeeper        DataNode、NodeManager、JournalNode、QuorumPeerMain

说明：
    在hadoop2.0中通常由两个NameNode组成，一个处于active状态，另一个处于standby状态。Active NameNode对外提供服务，而Standby NameNode则不对外提供服务，仅同步active namenode的状态，以便能够在它失败时快速进行切换。
    hadoop2.0官方提供了两种HDFS HA的解决方案，一种是NFS，另一种是QJM。这里我们使用简单的QJM。在该方案中，主备NameNode之间通过一组JournalNode同步元数据信息，一条数据只要成功写入多数JournalNode即认为写入成功。通常配置奇数个JournalNode
    这里还配置了一个zookeeper集群，用于ZKFC（DFSZKFailoverController）故障转移，当Active NameNode挂掉了，会自动切换Standby NameNode为standby状态

安装步骤：
    .安装配置zooekeeper集群
        .1解压
            tar -zxvf zookeeper-3.4..tar.gz -C /itcast/
        .2修改配置
            cd /itcast/zookeeper-3.4./conf/
            cp zoo_sample.cfg zoo.cfg
            vim zoo.cfg
            修改：dataDir=/itcast/zookeeper-3.4./tmp
            在最后添加：
            server.=itcast04::
            server.=itcast05::
            server.=itcast06::
            保存退出
            然后创建一个tmp文件夹
            mkdir /itcast/zookeeper-3.4./tmp
            再创建一个空文件
            touch /itcast/zookeeper-3.4./tmp/myid
            最后向该文件写入ID
            echo  > /itcast/zookeeper-3.4./tmp/myid
        .3将配置好的zookeeper拷贝到其他节点(首先分别在itcast05、itcast06根目录下创建一个itcast目录：mkdir /itcast)
            scp -r /itcast/zookeeper-3.4./ itcast05:/itcast/
            scp -r /itcast/zookeeper-3.4./ itcast06:/itcast/

            注意：修改itcast05、itcast06对应/itcast/zookeeper-3.4./tmp/myid内容
            itcast05：
                echo  > /itcast/zookeeper-3.4./tmp/myid
            itcast06：
                echo  > /itcast/zookeeper-3.4./tmp/myid

    .安装配置hadoop集群
        .1解压
            tar -zxvf hadoop-2.2..tar.gz -C /itcast/
        .2配置HDFS（hadoop2.0所有的配置文件都在$HADOOP_HOME/etc/hadoop目录下）
            #将hadoop添加到环境变量中
            vim /etc/profile
            export JAVA_HOME=/usr/java/jdk1..0_55
            export HADOOP_HOME=/itcast/hadoop-2.2.
            export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin

            #hadoop2.0的配置文件全部在$HADOOP_HOME/etc/hadoop下
            cd /itcast/hadoop-2.2./etc/hadoop

            2.2.1修改hadoo-env.sh
                export JAVA_HOME=/usr/java/jdk1..0_55

            2.2.2修改core-site.xml
                <configuration>
                    <!-- 指定hdfs的nameservice为ns1 -->
                    <property>
                        <name>fs.defaultFS</name>
                        <value>hdfs://ns1</value>
                    </property>
                    <!-- 指定hadoop临时目录 -->
                    <property>
                        <name>hadoop.tmp.dir</name>
                        <value>/itcast/hadoop-2.2./tmp</value>
                    </property>
                    <!-- 指定zookeeper地址 -->
                    <property>
                        <name>ha.zookeeper.quorum</name>
                        <value>itcast04:,itcast05:,itcast06:</value>
                    </property>
                </configuration>

            2.2.3修改hdfs-site.xml
                <configuration>
                    <!--指定hdfs的nameservice为ns1，需要和core-site.xml中的保持一致 -->
                    <property>
                        <name>dfs.nameservices</name>
                        <value>ns1</value>
                    </property>
                    <!-- ns1下面有两个NameNode，分别是nn1，nn2 -->
                    <property>
                        <name>dfs.ha.namenodes.ns1</name>
                        <value>nn1,nn2</value>
                    </property>
                    <!-- nn1的RPC通信地址 -->
                    <property>
                        <name>dfs.namenode.rpc-address.ns1.nn1</name>
                        <value>itcast01:</value>
                    </property>
                    <!-- nn1的http通信地址 -->
                    <property>
                        <name>dfs.namenode.http-address.ns1.nn1</name>
                        <value>itcast01:</value>
                    </property>
                    <!-- nn2的RPC通信地址 -->
                    <property>
                        <name>dfs.namenode.rpc-address.ns1.nn2</name>
                        <value>itcast02:</value>
                    </property>
                    <!-- nn2的http通信地址 -->
                    <property>
                        <name>dfs.namenode.http-address.ns1.nn2</name>
                        <value>itcast02:</value>
                    </property>
                    <!-- 指定NameNode的元数据在JournalNode上的存放位置 -->
                    <property>
                        <name>dfs.namenode.shared.edits.dir</name>
                        <value>qjournal://itcast04:8485;itcast05:8485;itcast06:8485/ns1</value>
                    </property>
                    <!-- 指定JournalNode在本地磁盘存放数据的位置 -->
                    <property>
                        <name>dfs.journalnode.edits.dir</name>
                        <value>/itcast/hadoop-2.2./journal</value>
                    </property>
                    <!-- 开启NameNode失败自动切换 -->
                    <property>
                        <name>dfs.ha.automatic-failover.enabled</name>
                        <value>true</value>
                    </property>
                    <!-- 配置失败自动切换实现方式 -->
                    <property>
                        <name>dfs.client.failover.proxy.provider.ns1</name>
                        <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
                    </property>
                    <!-- 配置隔离机制方法，多个机制用换行分割，即每个机制暂用一行-->
                    <property>
                        <name>dfs.ha.fencing.methods</name>
                        <value>
                            sshfence
                            shell(/bin/true)
                        </value>
                    </property>
                    <!-- 使用sshfence隔离机制时需要ssh免登陆 -->
                    <property>
                        <name>dfs.ha.fencing.ssh.private-key-files</name>
                        <value>/root/.ssh/id_rsa</value>
                    </property>
                    <!-- 配置sshfence隔离机制超时时间 -->
                    <property>
                        <name>dfs.ha.fencing.ssh.connect-timeout</name>
                        <value></value>
                    </property>
                </configuration>

            2.2.4修改mapred-site.xml
                <configuration>
                    <!-- 指定mr框架为yarn方式 -->
                    <property>
                        <name>mapreduce.framework.name</name>
                        <value>yarn</value>
                    </property>
                </configuration>    

            2.2.5修改yarn-site.xml
                <configuration>
                    <!-- 指定resourcemanager地址 -->
                    <property>
                        <name>yarn.resourcemanager.hostname</name>
                        <value>itcast03</value>
                    </property>
                    <!-- 指定nodemanager启动时加载server的方式为shuffle server -->
                    <property>
                        <name>yarn.nodemanager.aux-services</name>
                        <value>mapreduce_shuffle</value>
                    </property>
                </configuration>

            2.2.6修改slaves(slaves是指定子节点的位置，因为要在itcast01上启动HDFS、在itcast03启动yarn，所以itcast01上的slaves文件指定的是datanode的位置，itcast03上的slaves文件指定的是nodemanager的位置)
                itcast04
                itcast05
                itcast06

            2.2.7配置免密码登陆
                #首先要配置itcast01到itcast02、itcast03、itcast04、itcast05、itcast06的免密码登陆
                #在itcast01上生产一对钥匙
                ssh-keygen -t rsa
                #将公钥拷贝到其他节点，包括自己
                ssh-coyp-id itcast01
                ssh-coyp-id itcast02
                ssh-coyp-id itcast03
                ssh-coyp-id itcast04
                ssh-coyp-id itcast05
                ssh-coyp-id itcast06

                #配置itcast03到itcast04、itcast05、itcast06的免密码登陆
                #在itcast03上生产一对钥匙
                ssh-keygen -t rsa
                #将公钥拷贝到其他节点
                ssh-coyp-id itcast04
                ssh-coyp-id itcast05
                ssh-coyp-id itcast06

                #注意：两个namenode之间要配置ssh免密码登陆，别忘了配置itcast02到itcast01的免登陆
                在itcast02上生产一对钥匙
                ssh-keygen -t rsa
                ssh-coyp-id -i itcast01                

        .4将配置好的hadoop拷贝到其他节点
            scp -r /itcast/ itcast02:/
            scp -r /itcast/ itcast03:/
            scp -r /itcast/hadoop-2.2./ root@itcast04:/itcast/
            scp -r /itcast/hadoop-2.2./ root@itcast05:/itcast/
            scp -r /itcast/hadoop-2.2./ root@itcast06:/itcast/

        ###注意：严格按照下面的步骤
        .5启动zookeeper集群（分别在itcast04、itcast05、itcast06上启动zk）
            cd /itcast/zookeeper-3.4./bin/
            ./zkServer.sh start
            #查看状态：一个leader，两个follower
            ./zkServer.sh status

        .6启动journalnode（在itcast01上启动所有journalnode，注意：是调用的hadoop-daemons.sh这个脚本，注意是复数s的那个脚本）
            cd /itcast/hadoop-2.2.
            sbin/hadoop-daemons.sh start journalnode
            #运行jps命令检验，itcast04、itcast05、itcast06上多了JournalNode进程

        .7格式化HDFS
            #在itcast01上执行命令:
            hdfs namenode -format
            #格式化后会在根据core-site.xml中的hadoop.tmp.dir配置生成个文件，这里我配置的是/itcast/hadoop-2.2./tmp，然后将/itcast/hadoop-2.2./tmp拷贝到itcast02的/itcast/hadoop-2.2./下。
            scp -r tmp/ itcast02:/itcast/hadoop-2.2./

        .8格式化ZK(在itcast01上执行即可)
            hdfs zkfc -formatZK

        .9启动HDFS(在itcast01上执行)
            sbin/start-dfs.sh

        .10启动YARN(#####注意#####：是在itcast03上执行start-yarn.sh，把namenode和resourcemanager分开是因为性能问题，因为他们都要占用大量资源，所以把他们分开了，他们分开了就要分别在不同的机器上启动)
            sbin/start-yarn.sh

    到此，hadoop2..0配置完毕，可以统计浏览器访问:
        http://192.168.1.201:50070
        NameNode 'itcast01:9000' (active)
        http://192.168.1.202:50070
        NameNode 'itcast02:9000' (standby)

    验证HDFS HA
        首先向hdfs上传一个文件
        hadoop fs -put /etc/profile /profile
        hadoop fs -ls /
        然后再kill掉active的NameNode
        kill - <pid of NN>
        通过浏览器访问：http://192.168.1.202:50070
        NameNode 'itcast02:9000' (active)
        这个时候itcast02上的NameNode变成了active
        在执行命令：
        hadoop fs -ls /
        -rw-r--r--    root supergroup        -- : /profile
        刚才上传的文件依然存在！！！
        手动启动那个挂掉的NameNode
        sbin/hadoop-daemon.sh start namenode
        通过浏览器访问：http://192.168.1.201:50070
        NameNode 'itcast01:9000' (standby)

    验证YARN：
        运行一下hadoop提供的demo中的WordCount程序：
        hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2..jar wordcount /profile /out

    OK，大功告成！！！

2.2.0 HDFS HA

集群搭建问题描述

1  hadoop 版本下载    http://archive.cloudera.com/cdh4/cdh/4/

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