mirror of
https://github.com/pdf2htmlEX/pdf2htmlEX.git
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92 KiB
Plaintext
2 lines
92 KiB
Plaintext
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nd7ezubzXq9XqfT+QdJuOq6Xi6Xy+UyjuNXr14Nh/0osqEA9zA+F74Ns+x2br0q57P1Yr5mIQADgtIGdRJWhEVYQNr0EgAEhMMQIjADoiDuZ+skVFcIERpjy2rnXKOTd0oppZRSSimllFIP0MMN72SPmQHgfgErAMD+rN1h11Xudka5TbVQ9hfyAO5qZ1EEhbEsm+ViHUcmSxMWjGJjDLYdtmH2DdFaa4wZjUabzWa1Wk2n01B6G0XR3+e5QknF9fV1VVVHR0e9XjeO4/3YIAMAYnuGzzsod34xz2+ny2JbOQcICIgCoY5DRISQAEGA763MCoQfi/yBUO6uAmOfbH79p6eUUkoppZRSSimlHoqHXlhxCJUOBawHiIiHXdD9GJoA4N1/Qns/7mupFIIQAFWV84uNtabb7ZIxxqTGICIIAPPXvuNwOHTOvX37dj6fh+Tu7xneNU2zWq12u91gMBiNRmmaRFGEiPvQkEJ4JwLeQVm4+Wx9O13silokVHSg3PvhSJtRyuEnAXc/EAD5w+/hrvlDYzullFJKKaWUUkqph+qhT94RUeh4DZ2zh/wOw3iaIAAQURRFRMTsvQegMJSH0KZX7Zk8JGxH+QQECJi95+12d3MzY/E2MkixMfiN94CISZKE4bvb29vz8/PwluI4Jvo7132Emburq6ubm5s4jieTcb/fi6IICQ8NuSE0ZA915VaLYjZbL5eb7bbyDYAYQANgQjMHACC2w3oi/pDBsQi2+7/09dJaDEuzYSWXmZ13hGSM0QhPKaWUUkoppZRS6gF66JN3IZgL02rOOWvt75+cM4aSJLbWsDAz72/jYTgFJ9LGWAimXbBtfxdFsCiqpr4FlP6gZ6MIAInakOsQZsVxHMdxVVV1Xa/X68Vi0e/3Q4HG3+lZwlOs1+vp9NZ7OTk5Pj09jePYWivA35iRY4aybGaz5dXVfLXMd0VNGBNZRIOAzN57JhMO+YXkzUuILAGY78K7dnzw3s/s8DGzOOeNNdZa/ZuglFJKKaWUUkop9QA93NQmDKARUbh2l+d5lmW9Xq+9DQdtMQMCGGNCeCfAzN4DEaJBaqfJBBFJRNh7lnvLpQwYDtA52ay3s9slAA+H3Tix+0TsXqctQrfbPT4+rut6NptZa58+fTocDv9O+V1ZlovFYjqdNk0zGo4Hg2EUxcaY/dOExyEQdM4XhVuvisVis1rlVdWIUHjPDAyC4SQfgDDLfmE2NMmyiHgWQjTGJElkjMGwaxseV9ofrDAyMzN3O1mSxL+/layUUkoppZRSSiml/ujoIb+5EN6FabvNZlMUxf3VzpDMAYCxJo5jaw2EhlXmsEkayhgO0ZhzPnRfQLgHx8JOXMN17fJ8O72ZLRbrpnH3v/k+zxJmn6bJkydPjo6OvPe3t7d5nh++2v8fIlJV1XK53Gw23U736bNng8GAyITfgq89FzQNb/NyucgXi3yz3jY1IxAAioh37JwHgJAbMov37D0zt8UdzMzsBLyNwkDi4X/i0HFxyDyBWYS50+0c6jKUUkoppZRSSiml1IPyoCfvAMAYEypf1+t1t9udTCbWGrm31CqAxlCaRklirTUNsoQBPGARFEGU9tRbmLgTbotqw/KsCDJguXOL+SaKom4nA8BOJzKWwssPCSAZig0Nh6M8365Wq+vra2PMeDzOsuy/+SzOubIsb25ubm5uAGA4HPd6vchGIY+DffErCLAX55ptXs2mi+nNYret2CMBImB7vC8cx2MWvGvzAMS2YhbCTT+PJGkW9ftZFFmAw+E/ClEhM5e73WazBpQsS8P9Ps3vlFJKKaWUUkoppR6ax3HzLoqizWaz2Wy89wDwjfNw1hJmlKRRFEUV+ZDbCTMAQQjvBO6u4MH9BlYEQRCsS1eVjSHTyTrW2CQ2xtI+4GtfjwgAGMblRL5cLpdxHCdJkqbpfzP2Cqfu5vO5iDx79vxocpLEKQCACNw1cAAAMEtdNfmmmN7Mp9fzpkYQA0CHFyC2JRX7432HG3ZtkCcgAI7IdjpRf9CJIrtv64U2tgT23uXb7XqzQsQkSa21Gt4ppZRSSimllFJKPUAPOrxDxDB5F8exiJRlWdd1nERE1G5/CjJgWCGN46jb7TQ177Y1syAiAu47Zxnb+E721/KkPX+HAEAgIOKLorqdLozFJI16SGToruoBBUQQKIpsr9cdjUZFUczn8zRN4zjOsuxv63wQEefcarW6uLjI83w4HI7H4yxLiehudhAwtOIyQ13Vs9nq5nqxWuVV5YQNiIE2QWQBCIOE9wYP2x9EmzMiAwoZjGKKE5skNqzNhgcOe8Ai6D1vNpvNZk1EcRyFxWQN75RSSimllFJKKaUemkcweRfCOyKq67qua9ckURxJm18RgCAIIMZx1O93q7LZFZWIiBCFITUA4La3Yr8GK4f8DgkQEZAQpKqa6XRGBvv9gbVJkqK1bXh3yMpCSjiZTJxz19fXoXnWWvu3hXfMXNf1arVaLpfW2tFo1Ol0oihCPJy5ayMzERSGqnTTm/nlxTTf1M4J7ofl7k3VCYC0WRvuT9e1w3UCKGjEWIxjEycmio2x7Ubu3ZAfILMURbHbFaHrVsfulFJKKaWUUkoppR6mhx7ehc6KkDE55+q69p4jkTBXhxJSLQGANE2OjsZV2SyXa9dwKK9AZJAwggcCAnwYU5O7YGwfjnnH3vNqlV9f3Qrw8cnAmgihjffCzF4obk3TZDwe5/l2s1mfn58jYhSFXtdvRmBFUdzc3EynUyI6Pj4eDodRFCGBACOiAOC+R6KpOd/sZtPVcp7nm9I17dSfhI7Z/eG+w7tFCJ+NIizhBwLAzETS6XTG436WpYdcrh3Mkza79N5vt9umafr9/t/2zpVSSimllFJKKaXUH90jCO+MMUmSxHFcFEVd1947gDhstLYTdCAAmGXp8bHJN1sT1kzbNgc+lMYKCB/uwoXjcdA2tB4aaVl4sy4u4AqIB/2sk8WIhkgAqa3BAACQOLED7B8dHTVNvVqt+v3+cDj8/fk1EcnzfDqdlmV5enr66tWrJEmMMeGtIeB+GBBEsK7c7HZ9fTVbLYty5xCju6G8dsMXAQ7zeiIhSWzXaQXBQAjvAHrd3tHRUafTMWHzFwARpcUi4lxTlqWIhB+sMUb/JiillFJKKaWUUko9QI9j8q7T6fT7/aIo1ut1lqVJEkdRTIRw6GkFMJbSNOr2ssGwL1yUhWdhvKthDTNn+3E2AWCRkOndJWIAgM75fLNbzNfT/lxAhqMsTowI7LdOJYy5RVE0GAzqur6+vrm9ncVxfHJy0u12D/ldXdchucvzPMvS0WgUemn3FbHY/h+A91yVbr3a3k4Xt9PlbudETFuqgXBoosC7BVvZT92FHgoO9bOAYAxlWTwY9EejYZom7XW8tpC2ndmrqjLPt3VdJ0mSZZkxhoj0b4JSSimllFJKKaXUA2R//H+8esjvT0QYYFPL2slN52nzP/3v9K//h/6//LfWRgAE4dAbAAAYgwim08kmk5FroNxtBDwCtsWzAABAaO7dmINDk+zh/ByiYc87Xy8WmziKgKDTsVFs2q+A7UQfIpIxvSyBfnf2s9998ef/15dXn51APorAUpu3bZ0sHC2TyfDf/a9P//3/1o32OZww4v2wDL2TYlsu5pvpzXw+WyFECDaEbkQAIMwMoZVj/zMRaRs7EIEIAcR5BwDdbtLrdYbDwXA4TBICAGb2Xoxp+yjYu8306ubTX17+3/8nvfl5RfUmQUNgdG1WKaWUUkoppZRS6uEx/+FPhw/5/YXMyQuIQO6wBBP3hk8++G6SdQ9jaYiwXyFFZkYwdePyPHfOiYQXhLtysj/9BofminAxL4ymhe/YrpYCijAZSpKYyCCFOb8wfieISGQAyNjEu6Ysy22+cds1sTcIgFB7WDhaxiP78vvP//X/+Pyf/6vuYGSieP9Q7RsWQe+gyKubq8X11Xy5yHe7BoREsB22a9+k3L23+zWzErJNAWBmZwxOjoanZ0cnp6PBsEMGEIXbjK/dHm7K8vrLzy4//cXqNz/ulYuehcwitRN8SimllFJKKaWUUuphsQ//LSKiJYkJkqbcXH6xfPfK1w4AvPfhdwEAgAEICbNudkLRtiiurqgsvfeMQGHSjVlAPCKH43QiwsyHzlZo87DwLU1T++UyN9Z2O10AOzkia8y+3LZ9PRLZODl++REZyyyzH8yi4iYiHwOWLDnG9OL7z//7/+XZP/9X/aNTa6OvPZUIgHiProZt3lxfzK8uZlXlEKz3IOINGURg4cMPQe4v97YduCzC0q7EemPNaNw7fXLU72XWAgt7FgBAOiST4FyzvD5fvP0tFsu+8Zkhc3gepZRSSimllFJKKfXA2EfxLg1iRJCBK7eL/PLN7cUbEydpt29seP+4PyEH1hJm8WDQOz2dIOBysWHPIATcJliHFdS2umI/y4ZI+0iMBIS9MPt8s7u5XpAxnU5irSVDSPshOGYAJKKs15s8e3X63T9dn/92/VVj63mEvJKoGj558r0/e/4n/7J/dGKjGAD3nbAhK0MRrKtmMd/eXC0Wi02xrViwnSMM3+KQ1uF+PFDkbkYuxI/iwQsRZp1kOOyPJ/3hsBMnd/+z4p6IeNeU+fr2y0/zr36TNbs0wpDc6didUkoppZRSSiml1MP0OMI7BDAEHSN1s1vPrm7ffJH1BnGa2SgKyVSb3wkQIloYDLrPnp167zebtXNePBFYBBN2TduBu73w4b3dW257agGKbXUjcxvb46NxmkGEiEiAAiK+/SyySZIRnXzwz3abf3/uqvx3P7bsiv5J76M/e/Fn/+7so++HbdlDRIhIEOovBKqyubm6vXh3u1ptq8ohGkJDRERfm7Nr8z4BCWu7d+9dRLz3Poqo3x+dnk0mk16/n5DBwyeHxo/wUtfU2/Vi+eYzM3/Xg9oSmv2TK6WUUkoppZRSSqkH6KHfvLsHWQRAtg62DsDa4clZlCRIFgFlf7XusANqDXnv67r2nl3DzEBI95siRASR9vfvMNRfCB9G8dpjc957IrKRIUIbWWMN0l3aFfoikAwCojVVVS6Xiyrudj/6s7P/7t88+/6/GBw9IWMP8SICARICusZv8nI2XV68u7mdrsrSsQ8LudjO2QmHUorQkLv/b2gP4bUhpAeQKDbdXvr06enZ05PhqJNlcbsni22jBbOIcL3Lzz//zVef/PD2Z3/VK257RjoWDaFWVSillFJKKaWUUko9WI9n8g4hNtgRSOvN+rOfXqTpi+//i7TbNyYWAO+lzdEAACFJosj2qrquqkoYd9uF80JkEYAImb8xfBeKL0Ie5gGgrXUV8I6dl+Vy8/btJbNL0ihJIjAGAQF5XxYBxlBnODihD72vxRjh+ux7f3ry6qPu5EQAEBDRhC8YxgMBwDVuMVtdX85up8vVKke07Wv2t/xCLQaGSLHtr2iJgACLeAEmA1mWjMb949Px8ek4TQyDEADuU0wR9p6Fucg37379ybuf/RA3057xmUFLaDS4U0oppZRSSimllHrAHsfk3T5oQ0BovFR1VYOJhxObZFlvQCYKt+CwjawEEYwxIf9qarfd7thzGEDbT7HdNc+G/96P4AX7Htr2t9i5hgymWRpZay0ZQ21D7f7+HACQsTaOok53dPb8+OWH/eOTOM2MsfttXEIkEWQvTeVXy+LifHp1OV+tirryCBTaMKTdjN2P/wGAIAjK3aU8EWEQFmBAHyfm5HT89Nnp6elkOOoai0gCKKF+I7w59k2+nE/ffPHbH/z55vOfdXeLseXUYkRIevBOKaWUUkoppZRS6gGzj+WNIqIhiQB7hpumnM/Oz3/1SZT1x2cvo6SDeBdCCYRrdJh1kqPjcVFUi/nau02elyJEFCPQPtcS2FdYIMrhmNxhdTZ856bxzaqOYtvrd+OI4mQU2bjdYMXwFTygmMj2j06y/gDAmygmY8hYCJ2wDEQUSmGd42LbzOfb66vZ7XRe14BoDpEigJChw9sI/7r/c5D2/wkgA0gU2ePjyfPnZ4NhFscYFn+/1nWBKMCYocoAACAASURBVN6vZzc3X362efNptLrqmSYxaFEXZpVSSimllFJKKaUeukd0826/BwoAIGXttvnWAQ2evIyTzNh4n3mJCAMiESESEQkDIHjm3W7nPYNg2EIN6ds+MjvEXe3MWpvfCex7Wj2CsDARZmlqbeiuoEP8hQiIYKyJkjhKEjI29E4goMhh7I7YYZGXN1fzy4vp9Gax3ZbM7Wzd196DALfn98LHKHdn7zj8YyIcDrsnTybPX5wen4yS1JIJnbSH/tzwzl2+nP/2r//zm5/8RfPus5HPBxY6lgwCaXinlFJKKaWUUkop9bDZR/ReEdEixEa6gCNfL+dv5p91p3/6b7NuP047AFbEH9I3AEBCG9nheGCiiAWWq5VzpW+8CAAY/Hppa7iCZ0ybaB1+BcOVOoFiW7lmSgD9Xj+Kk14vIRP2YeVeCCb3dm/v3nZ7Vo/BOcjz6t2764uLmyIv2YMw7Mfo9sUUvj2lFz6p7ZcNyR2HFlxGYmujk9PJ81dPxkeDJLNIwuLvP1EYP3R1tZ5Pz3/5482nPx1Uq2EEmUWDoNfulFJKKaWUUkoppR6+xzR5F4TtVgFA5qLhHROQ7Y2OTBQhtcuzeHeLDpHQWuu9a1zjHZdl4z2LhEXbw/27tph1/9G9tdkwmocAIq5pkNAYYwxlWRrH0eHqXTvyBu3XCV99PwBnEAgA69otF9vrq8X5u+vFfNU0HMbuwrv95jvZv4FDz2x4FbND5KwTj8f95y9OnzyddLtJFBOi3BsDbF9a7YrL33361ScfX//0L5LVxdC4QYSRgYhQT90ppZRSSimllFJKPXz20b1jgwCEqQER2FSb+a9/RCY6fvXapklm+kC0z8La8MsYpMSMx4NXr56Lp/WyqMoGAdEggAEAZgEQIgAQ7xlBoG2/QNh3vxprRNB7l2+Kd+8ukWQ46nc6KQECIYSGiLZZ9vffclsaW1X1dDq/vJyuVtuydCAIQG2zLdx1aIRJPQE5XLtj9ghiDAECiyOAfr9zcjI5Oh4NR11jQMQjhgcXACAiEahdk68Wb//mp+8++UtYXA6x6RmMCAxqcqeUUkoppZRSSin1ODy+yTuA0DoLiOA911VZNo1DgybqT46jJNlfsgOQdgIOCQHRRrZpfFGU3nnvfKipkLvmijA3x23ut792t69/hTZeY3auIcIkTawxUWStpXa5NoR3h+3X9vMQwXonxba6na7ffnV1dTXbbnau4XAIr43q9o23bQ9GeBN3O7gIwMwewBuLvX72/MXJ85enk6N+t5eEJgyk8BjhS6Crq9nlu/Pf/OLLH/7H4ne/7NWro0hSi7FBg9owq5RSSimllFJKKfU4PL7wDhHDXTpCIBDDrtjt1tstRMmTD/5Z2u1DyOEYAACpPRlniKIoZs9N413tt8XONT7EZGFgLdySa79H2/J6aGwVZg4fMkvjamYWZiLs9ztpGodwsN2XxbvPRUQAQjDlzs1n+cX57KsvL2fThXMegBANEYXt2vDl9+ux7RZt+83brFKcq0Rcp5scn44+/Oj5y1enWScxBskAEQgAC7d1FSzlNn/765+//fnHi7/5uLO+HFvfjzAmtKQ9FUoppZRSSimllFKPxuOcvLuLtIAAGufK3a4WSEcnJk6iKEEyAIDtZTdBFEAkJBEwZNhzWVbOee+YWRBRQET8vVN3dy20gPe7aMMtOQn9s0SUZVkURWSICA9pG2KomUAEw4zO8XpdnL+bXlzczmfrclejHGbuQmx3yPoOsZrcwwJexAv4JLWnZ0fPXzw5ezoZjXpkAFEOY4NtvOhcvSvmV+9++8P/Z/rLH9r5+QSrnsXQMGtIkzullFJKKaWUUkqpR8M+0veNiAYkIhQDQ2aplpt3n331yQ/J2DTrd2wMdIjCQgSGItLpJM+enwrLdrtzjudlzj7s1QKzD+URAIT7xVUBIflG2oWE1jW8WKytNYP+wEbRsRmkFIXfhXYoMCDvuSrdcplfnF9fXd7WNRsTAWM7IdcO9CHRN99u+/2BRUTAIbKNqNdPnz49fvHirNfv7N8jh7HBQ8etZ19sVvOLt7NPfwZXn/d514sxNWgISP+8K6WUUkoppZRSSj0qj3XyDuBQLAsgQCC7xudl5QG7k5MoSUxkiQju7sYhAhoyNopYhAVc47d54bwPKdh+ZxZFAAShPVh3rwRWDl8MmcV7F2bljKGsk8VRHFou9l0XCILCuCvq2+ni/GJ68W66Wm69B5H7pbbwe2N3IsIisl+eZRYv4qKYJkfDZ89Onr86OzkdJ4kl074b2W/ZsveuqfPl/HeffPzVj/5i+/kn/Wo5jKRrMSa0eupOKaWUUkoppZRS6rGxj/rdh+6F1AIADJrd4uq30yi+fvlhlKZREhlr7r8YCUEQBHr9zouXZ03t57Nl45x3TgSJ9hmYiIAgIiIJMHsGEGyH1tqCCwEAMLtdfXl5gwaH42GWZSkapH3qBwAi3kuel+/eXr19c71e5XXtEQBRcD+at2+okHsbu214B2AA4bA2G8Xx2dnJ6w9fnJwMO12LKIC+3R7ex5Mi3FTlanr11U/+6+KXH3e2s5HlrqWY0JAmd0oppZRSSimllFKPzyOevIP9uFp72U5EnNvVTdF4MGZw8iROs/Ca0AJxSK8Q0Vrrna/qhr2vq9p7D4eOCAERBAAiAhFmDtWzIodqWjzEbHVdI2EUR8aaJImj2CIgCIpgXbvNuri5mb/56nJ6syjLxjsAoEO6d39P9vAfh1k8ERAQZkcEnU58dDT8zutnT5+f9npJnCAAAzJgu+AbDudVRX75+W/e/Oyvb37+V9H83QCbYQSJwcgggYZ3SimllFJKKaWUUo/P4w7v4LA8C4gIBNzUdb5a1oLHr7/XHYzIGKQwNYeH3VdEMMYgYGQjz7xer5q6YQYRQcCwFQuHFtpQWytteCdyN1vHzM45733T1EgyGPSzLIV91+12W95czy/e3Vxe3KxW25Dc7Vdq28zx8BSHcor9h8DMwk7YRzGdnIyePT958fLJ8fHQRgDEbXjXTt6JCIPIZjH77OP/8u6n/1UuPx/zdhhBx6IltISa3CmllFJKKaWUUko9Ro8+vANoi10BgBCYuamr0nlOMjQ27nSNib5e5AqIbUNEFFnv/a4sfeOb2jMDAoXV2iBMtAEgIsHdlmv7TfeNE+xcgwhZlkaRjWKDAGXZzG/Xb95cXJzfLJZ5VTYghGj2l+wOX+gQ2Um4pncotPXsETmO7XDUe/Hq7MXLJ0dHw243RWJAAWBp5wFBRFxdrW6vLz77m9/94M/LL3/ZqzcTyx2LsUGjp+6UUkoppZRSSimlHq33IrxDpHZ/FgiBxO+qer3dOcDByfM06xpj8V6da3ghEcVxFHoemsZvNztXexQTGmNl3wbLDABojAVA70VCaAaH+Tlh4aauRDwh2YgGg5SI1qvdxcXtF7/96vLqtiq9MO6TOzyUzB60s4PhH0EQYGbvnTHQH3RPTycffPTy+csnnU5iIgS6K85o2zpAdvnm6vNfvf3Zx4tf/qCfX48s9yNMDEYEpMmdUkoppZRSSiml1KP1PoR3ByGoIoDG+WJX1F6i3simWdrp2jg+vCxEb4RoDAEAonGNz7dF03hm4cNw3d2oXQjdIKzT3v0WhHoL9r4JA3RE1MmyunaXl7OL8+nlxXSzKYQJkQDMvspWwpzd/Tm+r/+KAAiQz7L46bOT5y/Pnj4/Ho37JkIiAWCRcIYPAME7V2xWs3dffv7xf7n55cfR7N0R1b0IE4uWUJM7pZRSSimllFJKqUft/Qnv2vKKUCorLHVV1LWzaZx1hydnSda5eyW0LwUQIpOmqfeS57uqauq6ct6HRVlEAiAQEAb2LBwu4gHcW5gFaGfphLluGmG0cbrZVG++ury6vF2vC9cwotmPBsK+/YJCkCf3l2cB2IuIAAqRWCuDUffD737n9esXg2EnSQ2SIDCzF2HYn81rqnJ+dX7+65+/+eGf+/NPh1COIkgtRqQLs0oppZRSSimllFKP3ns1eYeIgECACEIgVd3k26Jh6B8/iZKUjCEy+5e25bKIZK1lltA+UZS7xjUSai2QBDA0z+5TNkQ8lEtw+3VAQFhYnGPPwIzrVTG9ma9X+f6O3r7jQmB/UG//4deJgAADchTTeNJ7+uz41XeenT6ZxAkZA4AcYr6Q3ImIc/Xqdvq7n/7w7U//snrz62GzHlnoRW1yp2N3SimllFJKKaWUUo+dfc+exyAiSWoQAOq6Wky/mP2KLl59ZJPO8bMXxkbhZcy8D9EICQej7gcfPgfk9WZRVWVdMTOKyDdG17621hp+of0lYgb2vF5u6+oCgeqm8c4JIIXZPWFpezUQADwzAhIhAgq0e7r7rllmcVFsz54fv/7g+dFJP80MILN4aL8GISKI987V5W55c/Hukx9uPvtpv1yNrHQsaXKnlFJKKaWUUkop9d54rybvghC4IQKCIPuidqWgkM0GwyhOiQwStR2yIVBDIENxYj37siqbxlVl4xyHmbswWnf42gDhYxHh/TAe7C/iATO4muvGey8i91+PiAiC0sZ9d1+R9x+KsBdHBN1ecnIyev3Bs+cvTvuDLE4MoACAYBgVhFCyscs3V7/79M0nH9/+4ofp6nJIbhBhaklLKpRSSimllFJKKaXeG/a9fCpCsIipAREomnzz2SfnSKPTJ2mnY+wxGSMibV0sAgAYBCQznvRef/BSGDfr3W63AwZEC0SHU3cADADtyTvh0FkbDtiF9lkBBKBDZsfhxF2ICZEAwHsPAIjYZnsIIgAIRCDgva+jOJocDZ+/fPLkydFo3LMxAnL7sjbmQxHwzm0W869+9uPLn/3QLK9G2PQtJgatztwppZRSSimllFJKvUfew8k7gP2GKgIhepamrnZ149BSnPbGx1GSiggiIIWgTdoCWsQoipzjbV64xnvvmRkgNMGGu3WHSToQENx/1H4cTtodEkEAYQaRtvtC8FAvG/I+OLwMWMQDsbUwHPdev3728vWz4+Nht5ciiQDvF3XDd0RX7mZX5+e//vnbH/2n+u1v+k0+tpJZTAySllQopZRSSimllFJKvUfez8k7RDQhSTMysAJNPVteXv38r8DYk1cfdQaj/QvlcGsOEeMkGhr75EmTr7cgcH4+bVwtbBEMkkU0dO9bEJEI37udB20LhtwtxTILABgiAGION/TCYNwhXwu9tczSRAb6/ez0yfjFqyfPnp1kWQSHbtn97B4RikC52159/uvzn/91+ebTXrEYRJxajLVeVimllFJKKaWUUuq9835O3gUIoZcVCME5X5VlzRAPj2yc2jgyNvpG3SsiWmtBgAi999vttmmc53DdLvTDhot1LGHarv04TN2FL3Y3JQcgsA/qvn7nDvd9tQIgLB5AkHynkzx7cfLqO09fvHgyngyMbb8aHtZmAdi73WYzffPlFx//p/lvfpKsLyem7keUGrR66k4ppZRSSimllFLqvfNeh3ftHFr4l4ivd1VTAaGN+0cnSdZpiyQQAYCZQ7usIZOlmYhs86Kq6qpy3vG+XRYOuRuHldh7FRYAAsAALOIFGBCICBDYs/fhWF576o7DsJ20/xBJFOHkqP/d73/ngw9fjMa9ODYALBDO6h3G6aTe7WbXF+e//vn5X/9HuvliCNUogsRibNrDe/oHWimllFJKKaWUUup98j6HdxDyLAzzd0IAlXPbXeUAOqOjKMuMtWRMG+211+iAiOIoEhHvvWt8sd01tWtH58JxO5B7y7HCwsxOxCOJITQWDQFSuGQnIsLt5B7ezdy13RMh5vNxYo6Oh89enL7+8PmTs0mSWDKwH7uD9sQee1eVy+n1lz/70fnPftC8/dXIrQdWOhZjowuzSimllFJKKaWUUu8n+94/IQFYgsQggPTrys3ezD6NLs5e2jQ7/U5i44gldFYciiaYDA2GnQ8+fMkM8/l6V5Rcew6n8SQcvmsDPxFh8d7XgJKYyFhK0ghBGufqqqnrhj0aY4kMiHC4eweAFDpjWcCDuDiJn7988uF3X0yOBkliiDjs5EJ7NU8AwLum2Oaz86/effKX+Wc/7VcrTe6UUkoppZRSSiml3nvvf3iHiCRiCQGgb8U3u8X8/OLnP0CibNAPx++ICA/hHQogJ2l0dDTM892zZ6fe+flsU5VORAAMIGG7AMsijCRJEmXdZDwe9HqdLEuQsKmbbVGul/l2W9aVc84DALTBn4iIIAt4YyDrpEcno6fPT87OjrrdhAgAWcK9vP1dPWYu8s3V579++4sfFW8+TbezvnFdi5FBg3rqTimllFJKKaWUUuq9Zb8ND4mIBgQIMwMs0tSb9Rc/uzDm9IPvdQfjpINE8f3XszARxUl0dDT68LvfAcBd8UVVViyCgIRt62xoiU3iaDTqnT09ef3Bi6PjcZbGSOgaXq02F+fXFxc3V5fTqioRgRAACAAYWNgJuDSLT59MXr16enY2GY27aFjAAzCCALRX7ESAvdssbt/8/EfXv/iYVldDrLsGLJHV5E4ppZRSSimllFLqvfae37w7aGspEAwiM3NTl433SZfiJE47NoqRCBG5vVMHCGSIkCiOYs9cFEXdNK7xniWsvIaVWUTpD7svXz19/fr5q+88fXI2GY66g36n1+9knSSJLAAUxa4qa2YQDofumKVB5CQxk0n/9QcvvvP66enpqNtLEA/FFwCAocW2qcrlzdXFp794+6P/7C5+23f5JJJUF2aVUkoppZRSSimlvgXst+dRCdEigJGeBRHfbKZXn/wle5d2uknWMcYCAjNDmHpDQeAoMpNJr66Pi3wLgm+q67ouGQGEgIEMRJEdjQYffPjqO6+fDkdZkhAgAwABDIZJlp5GMW02eVk2y2VRlg0ACbOXKklMb9B7cnb86vWz5y+eZJ1IhPc7vgAiAGHmzheb9dXnvzn/5U/qiy/61WpoObUYE1pN7pRSSimllFJKKaXed9+WybsAITTPAiE0zu/KsnQcdQdR1k2yjrFRaKJAIAREJCK01gAiETknm01RVY334r2AgLGUZvHZ0+Pv/8nrs6eTJCWygOABhVCsNVkWi8h6tc3zXb4pdrs6FNaikX6/8/zF2evXz1++OpscDYwBQLn/VkXQu6bM19O3X375o7+Y/+Yn8fLyyNQ9i6khS7owq5RSSimllFJKKfX+s9+qpw3H7yJCBhgY9tVqffnF5d/8xCZZ1h9ESUZkEUJTBAIAMwtKksRPn57WFc9uN+XOLxabhh0hGaI0STqdJOvYJEFBD+ABPYgwAAkAkI1sf9Dt9TuA4FxjbBRHUZxmk8n4g9evXr9+0e93kBiA77Zl29JbacpyOb26+u3fzH7zY7z5sg9Vx2ASSir0T65SSimllFJKKaXUt8C3LgVCREMQE3YtDI2Py1V+8bv5299V2+3hBWEdVfasNb1eZzjqj0aDbrdjyIAIMwMAEVlLUYTGhgZaBmBAPpyuI6IoiqIoQgDPzCyImCRxv989OhqNJ8M4jiQsyu5BuzULTVOvb29WF294cT3gom8ktWhJT90ppZRSSimllFJKfVvQt/OZDUJsMLOYSeOXN9vpRV0WAAAgLMIsobni/mdZa7Msy7LMWgsA7Nk559mHFC8QgHYxFhAQBYAZmEEYQgEFMwuItTZJkySN49hAaK3lNuwTEWYO39rV1WZ2s51d22bXs5BZjDS5U0oppZRSSimllPo2+ZbuX1Ibf6GQNUkn6vSsjeBr2dkhuUNmqapmuy3zzXa3K733YUTOe19V1W5XbrdlWTbMgEAABECIBoDYY125fLPN861zHoAQkJmbuimKcrPO803hGg8SPusukkMERCBjoiSN0gxs7AFF7lZqlVJKKaWUUkoppdS3gf3WPrljKBibbDj87p+9+NN/05scISIziyABhek2BCKkunGb9e7mevbll28vzm/L0rEAIHjP222xWGxmt5v+YDAYpnESiZCIAJAweg/Ftr6+ub25mVZVTURE5B2vlmsTwXjcs9Y8f3k6TnuIDOAFGECIEFEAIOt2T19/VK7nb6++3NzsEil7+gdWKaWUUkoppZRS6tvk29U2GwgACywdLamHZx8+/7f/89Pv/1l/fGyjOPRFIISzdwiCwrheFefnN7/74t3vPn+3WuZhBzacuPPsjKU4iRGRyACg9+Cc1JXb5v8ve3e2HVl2pIn5N9tn9BkzAkDMmZEjk11sVRW7WqXutbpvJC09hK70bnoAPYKkllTVXWKRzIzImBGYB5/dz7DNdLGPA8iqvlRGJIv2EQwiAMc57g7Gzb9s219cXU4O35+8fPH27PSyWIZ9d6yqVVl6qUHkHHe67Va7RUzMpKqAhIV7gBJRHCcAT8fDxXRCy2lOnomsZ9YYY4wxxhhjjDHmz8SfY3jnFYXXC02qe882vv3rB9/91WD3gOOU2TnnOBypJQKxeCoKf3J88Yffv3j96nB4NakqCUdiCSSiIt77ejGfLxeFCMTD1yiKejyan5xc/vjj25cv3h0fX0wnC18DSqrNyVxRX5aliHR73VarFcVRHDlVUXhVryqqAMjFcRTHlCRFWS7Oj+N6ERFitvDOGGOMMcYYY4wx5s/Cn92xWVFdeB3VvMjXBp9/t//1b9b27ufdnvjbJXeE0P9Ki0V5fTn9cHj27t3x2dlVUVQhgKPVSjwVWszL09Orqqqr0l9fjbu9jnO0XBbD6/HR0dnlxWgyWVSVQBlY9ciC6lrGo9lpfPn+/UmWZczbcdQmJmrm7xQAEXEUt/uDvWdfV4vZy/c/Xp3MURcJq9VWGGOMMcYYY4wxxvw5+PMK70RVFOOar6Oeu/d0+4vvNh4+zVpt51yYZgvBGTUHZjEeTV+9fv/q9fuL89FiVqgwgVSg0HCuNhyDLQu5uBhPp/M3b5Msi5mpqnxRlMtFVRS11FAhADdpG3OkEO+ryWj+6sd3KpK30k6nlaREFCkE6okZClUFu1Zvbfvx59df/+ayrkbnLztSpkyRZXfGGGOMMcYYY4wx/9L9eYV3pWBR65hybD9af/brrUfPumvbHEUAiCgcaAXYEde1n8+L8/Prt28+fDg8DdNzTOFMraKJ+UBEKhCgqqr5dAHWyBEIIqoCgAHH5BBm9VRX83IEJREsFuXZ6WXkeHt7o9PJNzbarU5ExAoNP6KqxC7JW72t3Xtf/0W1mI+nV9eL836kHVIbvjPGGGOMMcYYY4z5l+3PaOedqk5rDCWa9+5t/sW/O/jur9f3HiRZSyUEcVCFCAjkKJrPy/PT69evPvzwx9fnZ8O6VFUOeR1wE/MBzTwdEZjIETlVUiFVBpgpJo6IGCARQEFERCSqqqqiIlpXlYg6ZmbqdFqtTh4uGB5DxEQEAoAoSYVocnk5n07ZFy0X7m75nTHGGGOMMcYYY8y/WP9CJu9UVQBVeG3KZEUhgIRUbvWwoY/G6Vq6//ne17/ZfvQsa3WJWFVUVFkBIiIRKms/vJ68f3t8+O7k6nI4nxVMCYGbcbvmluFU6+r8LMJMnqqGO4eHMIE1jOkpJJzJJaiG47msqrXX6WTx4fA0SVx/0M7bad6K49iFq9PqMK+L4t7mdvX42eT4w1lZjo/+GJeziMCkYUiPCQQ4uv2cqfnEAj5jjDHGGGOMMcaYP1H/EsK7sMmuElSKKhxiVarBFdiDNcytQQlYttbTR7/a+fYvB/cepq0WiAEwMxCSMnIcFZXMJosPHy6+/+Hl4dvT5bImsAoAhBk6KEDETAr13quCyd0EZKGLNhySFVFAwiRd+K73Hs34HRExEwFU13pxfs2s/bVOksb39jb7gxYzqZJKrRAiJWZG1F3fuv/rvyYXHy8m55fvXcj/QFB1EAeJITHUkTrShChiOIJtxzPGGGOMMcYYY4z5E/WnGt7Vol5RCkpBrfCgEq6kyHMkLhGXIEo0ThElIA7DbhBJt+/vfvc3u5991V3fjJLMi6qCw/QaFEogXswXx0fn798dH74/vbgYiWeAVZVCSYVCwkAckzanXyGk1GygI9Uw6yYAqQrCvN0q22sKMYhVQ34HVRIvs9ni4kLfvTlKsiTPs1YrdxERhak9EIGYmTlrd7cffQ52s8vTydtcxBO0SSfrSuuSqoLqgnzlfBVJndR1RBqTxoSYEDMitlk8Y4wxxhhjjDHGmD8Zf5LhnagWHnPBVKMFZz7NkbSo3Y96G1l/I1/bjFsdl+ZRkrooDplaONGadwfd7f12bxClabhUs+eOALAq6lqvL8fPf3jz6uXh6HpeFkJgohChNT0VIqIqzTI6ImpO0wrgAHgvAJjBjBAaiipUw5wdcVN3EUI91TCeJyAuivrd+xNlrA3Wer1e3o7SFMTMClA4h0vkIpdi7d7Bs3/338+u/1LFq66qLbx47/1yWS5my9FlMbosh+eL6RDFjMpFUs0zX3ZYOhEcw9n/8Y0xxhhjjDHGGGP+FPzJhHei6hWVYOmxUFogKePc5wPqb6a99bS33trYbm/t97d3e9v7ad5ySRbFUTPetpo1U4WIEq0ysdUXiYiJlkU1ncyOjs7evDo8PjpfzCvxxARQKIttdtWtBu4kXAer9XdYPQZh156EzK/5OUCUOLyW1WNDtCcACFSVcnU5do7f3zvpdNu7u2tJnIMdMyQ8lAAiF8etwVpnfQOrOT4AqxoN8mVVLRfjy5Pp+cn49HB6cVKMh+Xkenl1spxezYrpuCoy+JbThBFR2ItnU3jGGGOMMcYYY4wxv1B/GuGdqNaCucdcaOg6fm0/Xr/X3txtbWx3NnbSdjfO22m7m+SdJG+nrZxdzC5ipubA7ErYM3fnr1h9k5ij2XT86uXhjz++Pjo6G4/mKo6ZIVAFMalCRO5cDHc7Z0VVxTdDfoCIiKJZagf6yYObytrw6c3lSES9l9Fw9uOLNwRNky97vTZD4ZQAhRcRVWXmkBje6eEAAAITkboozrLe5k7e6fV398v5pFwu1QS3awAAIABJREFUitl0fnU2H14uLk/nlyeT0zf54qrjq16kMRNbdmeMMcYYY4wxxhjzS/VLD+9U1SvmNabCM0qXSZt3nmx981drB4/6u/t5f63V7UZxwi4GuZDOAc0kXZh6Ww2+YTWC11wYuvq7sq+18vXFxej1q3fv3h4Ph5Ny6aMoYnCI61SbAA7N5ZRWo3OrEE0VmiRxt9smwmw6K4pKRFSb9tfwU1jVxwJNpnfnlZII5rPy6PA0Yt7e3uz3e51unORudePwXyXQataPCdykk8RE5CJix1ESt7o9IqiKr733VTGfFbPJ9Op8dPz+6B/+0+z982J6uahmbap7kUaMyDI8Y4wxxhhjjDHGmF8e97980/8lP79aUQnO6njY2tH9rwbf/e29X/+bva/+1dr+w876ZtrKOXLsnItjAqsygQEKY2hoDrqGhXTAbXJHzZ8KJsccLRfV5fn45Y/vf/+7FydHl1UhUAdlKIBQWNEEbqoi6lUlnMeVMHHnBRDnsLHRe/bl453dNe+LslpWdV1XHmAo6SpChEIhq+wwTPOtxv9AqloWZV37NEmjKGq10lYrF/WiPuzRCxv4oAoQs2OKoAQhAhHCf8KRXSVSQEM/hYtcnGRpp9MabOQb28nmfpW05xItFgv2FQGps/DOGGOMMcYYY4wx5hfnlzt5V4lWgklNU41mnd3sya+3vviLB7/+687aZtrpsiOQACJSMzMRNCRXzUczbtcMxtHN3NydiEoBkAoJMB7O3745fvv6+PTkajKaM8UEDsWyN8Nxq2uIqqyuBkBURcTHiev1W/f2Nj9/dpAkjl1NLMdH19OyEBECVrdejdBBRcLsXvhC+C6raFHVw+vp29cf4jhud7JWuxXFcLEj8k1wh9UooTLAYb5wNcK3evnhC0REYGIXZUiRotte2+xt7y0++/Z079HZi99f/O7/uDh9tahnonXKSJ0V0RpjjDHGGGOMMcb8gvxCJ+9UdVxjVPNVsl7vf93/6q/v/+Zvt59+2dvcibOcnFOoqhDBOQZodUCVCI7JAatJNw31FOErFHpfVQkaDtg677Fc1u/eHP+X//yHVy/fD69ndaVh2i5EgSIqoquoTm+irXB1IgAiWvd6rcdPHnzx5eNnX9zf2um3WhkRD4fT6XQhChUQMRHdDNmpQjR0xTIRh1m65pLsACwWi6Iout1up9POsiTPY6jKTXVtMw/IKlBlAimgP1mCF6JMiKqqrNbkUWjncJFL8k7e36S8W8Xt6WK5XC4hPncALL8zxhhjjDHGGGOM+aX4JU7eFV5LwbWPpuladPDF7m/+u+0nX+88+jzOcmJHzABkdSKWiHXVAssI7bIMFQUxwlnScMJVAb+aT2OAAIa6xXx+eT5+/+7k9avD0+OrqlIV0tDdetsii5tjswDQhGIeqgTliLIkXt/oP3y0//Dx/ubWIM2jKI6r2p+eXM+mxWi4KOuamBA26GlTlBEG7xyH69+enSVyvq5Hw6lC37456vY6SbbbavcVTOpC+hYm6lRIlZjCyxGE8UBSKCmkOV0bJvuUiMIdiTniJO5vtzuDzby31r/34F2aT17+g1wdcjltO+RRyEEtwjPGGGOMMcYYY4z5xH5xk3eqOqpw5aNJb6/33X9779e/Pfj6173te2m7RezCyByoGTVb/YSGzMtxxOxCtOWcc+wcOyZHcMzs2EUuci5ijgiO4FT47PT6hz++fvHDm/dvT2bTEojC4rmb6zJzGJrDTc8EUUjzvPi6LpMs2tpee/z0/tfffHZwfyfJHTFFLiJi8fC1jMeT2XxO1MzxrZ5tM4sXxvFWwnhgGLADCOJr76ter9XrtZldFMVEEXMUuchFMZNjds45x8zhxbIjYqYIcAQX5gdvPlQAbQ7bEjEROxfFeTsfbMZr2+PpZDabal1lHFo2LLwzxhhjjDHGGGOM+cR+WZN3hdfC67Wms/Zm6+mvnvzb/7i+/6i3scUuCn2vuClaJRBxOL2qoqJQ0dpXvi6qWrwXEa/N8FkY0AMTXBSyrshx7D3KQo6PLl7++O7w/elsWvoaHJGuDps2gR1xk9WtRuNEVEJtBTw7dLv5/Yd7j5/cv7e31eu3BSUgceoGa91Hj/bLZXV1OZzPF1UldV0CjhCedlN+uwoKb5bfNX8QuC7l9PSCnGzv9jvdfH2932plZVXXdR1W73kPFdUwc8fEzMwUMj7HETtmZuaImKmZwhMoQBxqLdi5rNOJsry7vrn58HFdzs8go+MXUTnuRNohG74zxhhjjDHGGGOM+cR+QeFds+dOktlgv//Nb3e++NXGwcOs01WCqFA46AqoiKgyOxfFYS1dLeLrejFfzqbzyXg2Hk0m49lkMquruqlyVYDAhCxLWp281+0PBmt1hcl4+erlu7dvjq6vJoCLnAMIqhI6Wh2g6r2H0s3Mnaqq1l5q0SpJXafb2j/Y+fabL558/qDbbRMrQ1VFROKE7+1t+Lq+Ho4rXx99OJstl1GUEZOqqDaxHXNIIRk/2aPHAMTLfF5cnF+/+OGNin/0+MFg0Lu8Gg2Ho9lsvlwsvBfv67quRCVJ4zRJsizJ8tZgsNbr9dvtdquVZZlL0hhNq4XH6titQkSECMwQcJK3D371V1mn9+H/Ss/f/7Eqh7lThtr8nTHGGGOMMcYYY8wn9EsJ72pRrxhLPG3vtJ989/i3/2Ft76C7sUnsVgWvTKQ3baoAQbgspSjK6XQxnc7Go8n11XB4Pbq+Ho2G0/FoWlWV96FTFkpKQJ6nnW5rMFjbWN/0nqbj4sOHk/Oz4XxeOJcyk4hok96RqkIh4psjrCDmEN6JqFf1aZbu7m4+fHjw8NHBzs6mcwqqAQVERV3kev3W7t7mk6f3F8vlZDxZzBYgryAoq1Jomw2RIN324YavNLN+tdST8fz9u5Pa+2Lpe4Pe+dn15eX1ZDKbz+civq6ruq5UfZolaZpkWdJqtdfXN9bX1/v9fr/f7fVb3V6eZWmaxkSOGaCbQ8FhBx4xcZRlO0+fdbd2quX8VHXy9nfTepI5ypz9GzHGGGOMMcYYY4z5ZH4p4V0pWNQ6S9f6v/rbna/+Yn3vUdZtiyqJD5mdCMJIGrOLOfIedYnz09HR0enJ8cXxydnwajgaTuaLZbEsq9L7WpqxO4SCCAHEOY7iKInP0vQNI1Z183mxXHoVFhKoinht1r2RyGrMT5sddV4IBGI4IgUGa53Pv3j62bNHvX6LWURrkprYAxLyQlGftbJHT+/XXq6uhovFcrEo66pgCjkaqUIEgDABgGgonSCiEBoKkfMew6t5sTw+OxlGcTSfl8Wi8F68eBEv4sNUHbsFMxMhcpymH7I87/Y6g353a3t9Z3fz4GDv3r2tvBXFsfPivQ/NGQJSIoSNebXESdbe/+a/SfL2m+no4vT5QOuU1Q7PGmOMMcYYY4wxxnwqnz68U1WvmNQYSorNhw//8t9v3H/SWd8ip6rVqpWCAECpaYGo6slkOR7N3r09efXy/dHh2dHJ+Xg4mc3mdS0qSuQijsIZWCUQASoK0Tu76xwncZQTsYgCpCKqIuJBpHBoqmZvWmBVQRoW75GmqWu1u3v7O0+e3j842G21UmJRqVU9NedeoRBRH6fR5vZaUVRHRyez2fzo+KwczalZb8cAh5Oy0nxpdcQXEBFAmVhFZ7NyOl2IDlXVe6ggbLODeoVwWGHXzAR6VQ/AOcpbeaeTb26tn59dzadFsaw2trqD9XbkHDteDTACCN2yzMxRkm4//ryzvnHx8o/jyRUvLlq+TlgjtvzOGGOMMcYYY4wx5hP49G2ztaL0ONV8ufX5+ld/9eDXv2311jiOiZUojKERwRGx4ziKktlkeXZ2/eL56//y9//4h9//+PLH92dnw+mkqApVdUyx49S51HHMHDNFREzkmJzjmMkROeKIOWZEUEaT7UE1LIALxbJNA2xYCRe+AGjI47yUg7X2sy+efv3150+e3l9f70YJgQTkiZvHr8otABCzIyCOYyIeDkfTycR7aWbfFGGX393httWWPgBExCBeDeRFjmNGzBQzRwzHzjkXMTsmF+plmSPnYudipkiV6srPZvPh9eji4vLs7GI2X3ivLopb7RaHl8a0GgCU8JKjKHLsimWxFJ0Nr1wxJyB1Ft4ZY4wxxhhjjDHGfAKffvJuUWPiqehsbXz7b3a/+k1nfStOM2IAsnoIETEh8p6qsjo7vXr16vDFi9cvfnhzdTWZjAv1jigmckQRE4cjriFtUihUgBDMhTV2PlwTws0gHVHTSgswh+KI5saqTdksEFooPDtNYt7Y6H/++aOnnz3c2OhlWSSoFc3x1Z++OAGEWdvd7P7DvbryJ6en0/F4OJwuF5VroslwBheqTUR4s/suxIirSzLBMTExK91WWzA3g4EgVYScEaEtV7wvKj+fF6Ph9PJqeHJyPp7MZtNFVfnIRa1OnOeRklf1NwOGzMzs4izf+fwbjuIXl6fX7ybwi45ac4UxxhhjjDHGGGPMJ/ApJ+9CYnRR0bXruoOvHv72P67vP2r1Bi6OnGNARWoooMQcO5eOh/OjD+d/+Mcf/+7//n/fvj6+vpoWhUBippgQMUVMEYGhtPpY3abJAcP6NiIQgTj8SSHtExUfHkYgwIUMLBxFBYRIROu6LvJWcu/e1rMvH/3qu2f7B5tpGhGLQoDmWG5IwW4n74iYiZmjOCIiURGvk/F0PlswseOI2RERVBQKSHM2mJuBw+YJ3LR06N3KDtxkhUQ3fbirN1bDSVjnXOxcAqW6lvl8PhwOq7L03mdZ2ut3RUREwp69m8uqgpijNJ+Oh9PZ3M9HffYgWH5njDHGGGOMMcYY85F9ysk7r/CKKaV+89H60293nnyZd/vsolVwReFMqyrXlZS+Oj29ev78zfd/fPX8+zfzeaXqCAlTTHAgBxD0prNVV0HTT0bhVH/y1/ADq0RKm4bXZukch9E/VVV4UiUSF6Pfbz16tPf4ycHuvfVeP699pSp3Z+5+cocwBAfPTGkWrW10nzx5UBX+6mo4nxVVKSqiELrddncbxuH2/KzSTZCoIW9Uah6qIuCfLKS7/ZyIQ3KoIO9RFtVyORqPRgSt6ypOolanlaQuTRwcACWScF4YQNbpRUm68+WvfV2NxmfT4jR3lEf278UYY4wxxhhjjDHmo/qUk3elx8LrZb618zf/496X/2p974GL03CIVUWhyszMEXM8Hi5Oji//8I8//v3f/ePh4elsUog4QgREUCaKmKObRXVYDdcBABQ3e+v+uVXQdrNcD2CARLkpfQ0L7CAiVZxwr9969Pj+r//imydPH/QHLRcB8CBdDcM1Y3Gh/IGIVVVEVZuJPCZOk9RFUVX4uq6Xi3K5KJpnobibu+Emq/vpSFx4rgRqRuWaYb2bmK/56urcMAGkAlFt5vmYiKiqqtlsWnupqyrN0rW1AQCsmmdXL4GImKPY5a2Ltz/Wo0tSyR2sedYYY4wxxhhjjDHmY/qUw1QLr8OaeG330b/+t4Pt/TjLiByAEHcxMxOrkhe6vBi/+OHtDz+8/vHFm+WiJgnTdhGUAVINHRG3w2saRtlItdlwF+om9Cb0ukub4IxD72qzPW51xnb1KMnz/N7+9uMnB4+fHOzsbkRxqMn1aAIvUJMehldAqys3iSIzoiju99veb40/f1SW9Xy6mM7m4j1EmRyzW+WPCF0Zq7uv+i8U2hwGbvbiifjQs4E7r+ufvL6mFiNM4UEVNBktZrMZsauqqtVqb29tRTFcRARa1WSAiDiiwc69OEvf7j2eXhxGy+t19YAtvzPGGGOMMcYYY4z5eD5NeBc2yY2FR2m/tXO/PViPs2w1R0ZAWPrGAMqiXizqd2+O//7/+d2HD+fFwqt3RC70z66CNhHxd8M7IEy8iUiNsOIOqgATOxfdRnJ0u+Wt2SV3G5k1zzOsnHPOra+vffP1l1989WRtvZekDKoBD3gFwrxeOOobmi9UpMnzqDl+S6yAF9Esix8+3PO1XF5ejyez8WhRFlUc852bhvjMEYVDrHKz8W71ISt1eHoEZnbMLNK8JuKmx/busWAQAw5wvsL56bXUsrW5tb62trXTW9voqFarrHOFXZxm/YMni/MP83e/L/w0ccSW3RljjDHGGGOMMcZ8LJ8mvPOKWjGnRDf2u3sPsnY7ShLc7qQLLaukyrPp7OJs9P7tyY8v3k0nS++JyYFuM6lwelS0hkJUCLrqmw3fi8LnClXRZhoPYU9diNuwuuPdT1Yjc1ARTdKo023t7+9+9vnjhw/3Ot2MnaiKqgeFZC0sr9NiPp+OhiqStdtJlsdZ4qKouSCJKhSapNHW9npd69GHk/FoWlcnZTEP976zLy8M/fFPJgebUgsiUmawI5Ajck3BBDmAfO1FZNUF4sIbRLevjgkgxKKYjpZlUb99c7S2Noji+71BO9z25jkQE4NcHK8dPFoML67P3s4XU5DGlt4ZY4wxxhhjjDHGfCyfJryrFUuvZZSnOw/a6zsgrFIqBkLSxgBIcXZ6/Yd/fH74/qQsVMURwgeHQ6NETORCtiVae187R45dkkZplmRZkqYJO0dEvq7Lslwslov5sqy8FyWwo+jObNrtyVMmEoiqiHoR6fcGz758/NXXT+7d22q3U5D33is8QYiaegtfV+V8fvr21Zvf/b3U5fbjZ1v3H/W3tvNOt3l6gptgEUS9fufLL58BcVWgWB6JJ++12TS3GhRU9ao+VNAqJPTeAgJ2WZ628jTL0ySNoSIi3mtZ+tlsvlws67r2IkxCFBEI5O5klMwuZna1Z/FydHgWRdzqROtbvSxzcdKc9r09GkvUXtvo7z+6aq+NZufkfdtqK4wxxhhjjDHGGGM+lk+TxFSic0++1d3Yf9zZ3Aat2lNvN9apr6Su/NnJ5fPvXx0fX1YlVCNCtKqVkHCkNBRciHoiiRPNW0m7k3W77V6v2+m2Wq3cORdaGpbLYjyeDK9H08kilL2K9xJO04J/0tlKIISuCRXRPM/39vYPDvbX1np5HhXVQqQGCUgJ4ZlrVSyG58dHL35//Lv/JFVRzibiqyRN01abSIkgIgR1zMwKoN3K9vfvzef1y+fvoui89L6ppwCBeNV6K6s/vZI4x3ESZ1naauX9fm8w6HS6rTxPVL33vixlsShHw/F4PJlO54v5oq7E++qm4ALKqkpgJiZWVXipLi6GlS/272/t399e3+jGSQuQ0LsbDgAT0O6tDfbuR/2NxXmayyI8T/uXY4wxxhhjjDHGGPMRfJrwbukxFcft/vre/c5gndydZXMaKk3dYlGMrmcnx5cfDs+G1wvvieAcx6BmsR1RKKvwIrWXstNJ+2vd3b2tg4PdnZ3Nza2NViuLYheCQRH1Xibj2fB6dHJ88eHw7OT48vz0uvIVc7wawVvVRQChejXcynv1dZi2C8Ld70ZYOr2+PPzhdyd/+Lvy6AX56rKcqy/6G1uDnXu3S+dUvfdKnkNSqareV3VdVbVKSCT5zrldAZQdVLWuSnbodLqbW2sH9/fu7e1sbq2vrXXSLI4TEu+9iHiUpR+PZtfXo6PDk6Oj45Pji6urMWnIJmMm8l5F/OqZO+eoKqvJZHFyfP7uzWEcPVwb9BW1wuNm3x80aeXdtY24O1jEeVUWCoHld8YYY4wxxhhjjDEfxScI71S1VFpyHHXX+tv7eW/AzAjnTxVAqEZ189ny5Pji9OTy8nK8XAiQMkdELnTIhvBIISLCrFHCG1vdB492Hz7ef/z4YHd3a2t7M0ljYiDsulMoeDFbTkazw8PTbq+TJHFZluPRvKpFVRQCpWavHAHQm7LZqqqn09lsOq+qWsQBIEIoXW2W9BGK+WR8crg8/5Ath7H6+TWmx/35ZIhVzKdKYecdVJjVe1ks5rPZbLlc1rUnjQgM5Tsr+Fb5HWsUc57Hu/c2Hj46+OzZk4ePDjY2+/1+y8VgFhEvqlDna51Ni+FwvL7e7XRTIlRVVSy1rirAgVx4L0hBxOyYiKu6XMyr05OLN69bW1sbBEfhZG7z0gSEOM3yTi/rr89a3bIaexV3Z4ueMcYYY4wxxhhjjPn5fOzwLhwHLZXrOG+1+2l3LUqyO99sJu8cu/F48vr12/Pza+8JiAguDNoREZFbtUnUXqr1fnd7Z/3ZV4++/e7Z5lav083zPAGV3lfUzPGRKkTURdrtpfcf7PT7vbW1Qbfbffvm+PDDaTGvVQGEytebytrwOeaz+bt37wcb+f3HW51uAgpNuHcfBgCk4uAzh1RRS6XFQuoqfCessgNBlRjETGVRfPhw9PbNu8l44r2POCKiJgmk5mdUta6rOKaNzf7e3tbX33z52WeP17f6/UE7SZ2i8F5EZBWkeWJKc1rjThw/2thY6/X6g/7g9esPJ0eXIqVCQeycIxCFk7kiAKnS5cXo9evDp08f11U4u+sA35TkhuLbOMoHG9zfLsdnXiuCdc4aY4wxxhhjjDHGfAwfPbwDRFGDJe0k3UHa7rgkBVGT2zXnRgng8Xj67u2Hy8uheCI4ptBToU1LLKCqROqcrq13n3728KuvPvvm22ftTqSoRWovtVclAROBnKp6FXYujqI0z9Y31vM8T+KEnZtMJ9f1pC69qhAcoKDbBXxEtFwuT07Oto8H0/Gs2uxEMbFjQERJoaG2lpmjOI6cS4hiQsSQ5ihweDnNOjsIEZhARVGcnJx++PBhNpuH107UnNr96YFUjdN4d2/n2RePv/762eMnD+KUXaReS0Wl4kHSlGCAQBzHLo6zbqezsbYWx0mapsuiHA0nZSFVVUYuZnYEBkhFRZXAqjQaTZTK6+vJYlHGCUcJq3pRQdgFSBDn2hvb+fb+8ui5l7lz9g/HGGOMMcYYY4wx5mP4NOFdRRF317PemotiYgawOn5KAKtHVfvxeHZ6cjEZz1RAIG4yLVUvAihEoVmWtjrt+w/3v/n2i4P7O3FCgAd8SN8UBIVXAKLNpJwKPACQdvv5k8/ul1V1dX2lopcX47r0HMbSmjuBQETOe8xni8l4OpnMFvOi1Y6Y6WblHgB4pFm7t7U37K7hnKGsSTvtbyV5W7VpvdBmtC9SkBcsFtX11fD6elhXpeOQ7N0ukgs/RYQsSzc31p998fnXv/p8a2c9SgHyzRtAABGIQhMtFApPCgJ5KDls7awR03g0mc+Kow/nl5djIiZShVclqKC5I5VFPZ3IcDi9vpr019pxmqnWd39r7Fx3897g4MnR7/9PXw5F7R+OMcYYY4wxxhhjzMfwscM7UVSitUvS9d18sOmiyDkHiK6WvRE5X0tVVpPx7PJiOJuW0JiJCc18nmizxE6heSvf2R08eLD/5MmDwUbbORGtQXWI6prCCb093xrCO1IFJG/H7VZnPlucnZ0v58VoOCkKT6E7IzwbBYGYWVSWy3I6mY9Hk9l0kaTtOHYKghKUQvAYp3l3cyftrtVgD0ar11rfTludmyFBESEQGCqoar+YF8PheDQa17V3HLb9KTWNHeHxPo6p2+3u3tt+/PjB4ycP0jBzJx7qQRoO1yqoeT9u63o9VMhxf9BJ0vTqcjSZLKbT+cXF9Wq1H1TpZq4Q4LqW5VLGo9nV5SjN4l6/rURN2Nn8Vri7sVXcf3qUtKqlxgzY1jtjjDHGGGOMMcaYnx9/5PuVonOPOmm3dx+217eJo9U52XDGlJxzVVWPx+PJZDafF3XtEbbdIUyKwTl2zoEgKoNB79nnTw/u32t1UhdBtPa+9t6LF6C5HpNjcrQ6XAqEADAM6PnBWveLLz578PAgzRJAiZtTqzdhomNHxKooiuL6ahjitjvNsM0zd1GctjpR3qk4XlLsuhvt7b0Q3jHfLaYlEZ3Pl+PxdDadL5eF9z48q1BP0cwmqve+jmK3v7/79LNHm5v9NHVE3vsqzBUqvKhXFW1G+hBaNO6U1aqqd47393e/+urZ9vZGkjrnAPjwNoaP1U86gptO5mdnl/P5Mnyt+dCQJGra7nQ3tpDmS0EpuLmrMcYYY4wxxhhjjPn5fOzwrhIshJB3+3uPOmvboYaiaVdVENixq6pqNJrMpvOiKH2tREwEVdHmpCeYAYKq9vvdx08e7t7bzvKYnYZNbd5LiJaIwrlXJuKf9qOqQhQCqjvd7OHD/b393XYnjyKiMMoWTqE2o2nMxFCUZTUajSeTqfcCYlVSbS4OkIuiJGtFebt2SeWSeLDV2dxN8jxUzTZJGRERi8h8vphOZ/P5siwqac6gqqoA0jwxeNU6Tnj33vajR/cHa904JmIRrQEPEkCaZ4mbflq6E1ACUFHvHG1urT96fLCxNcjymB1E6rs/FUbrmB2pm02XlxfXi8UyTAHe5HeqUFCc5q3eGqd5IdxcwvI7Y4wxxhhjjDHGmJ/Zx5+8oyUi1+73tnazTlcVzfTYKosCUBTleDRZzAvxaKoeoKq1aq2ow3gdIM6h3cm3djZ6/TaxAsphSu6mKAKq6vVmQk1CHueIHLED4H1NrFkr6fXb6xtr7U5bVeu6DrGU6p1GWSLvZT5fLhZL8eG7YeatSR5B7OI4SloSZXWUJ+1+1u6Si0S8915EiIiJAfK1LBfL+XxZ1z6MyxGF0UIV9drEc56dpJnb2Optb6+lWaRaE6lzAInCg5RWY3YU2m/pNm5bfa4gn6Zod6NeP+v1Wi6iqqq896o3zz8ggJbLYjyelkWJ1f5BovDcHMBEzrnIxUmFJrwzxhhjjDHGGGOMMT+3j7rzTlVroOQ4ave6G9tJ3l71zEJXk26qKMt6Op0VRRlqZ4nCWjfRZgCPvICdusi12tnaeq/dzohLhRBxMzJGRETFYr6czXxVq2qUZGmrHcUJEYiZgFAiQcxJGnc6+WDQa3euZ7OliGcmIoU2+Z9CQ0/EcrFcLgsRUaVV8nUz6cbsEk5TiTOIxK1ukrfYRTcFsquxOPJelstiuVzW3qsSiAgkGo6oCsLIH4mLNMujwaCztt6LExX1xEKdSo3DAAAgAElEQVSkIYgEIN5XxbxcLnxdA5y3B0neIQKTIwCkIkokUYy85brdvNtrz6aV955JlMJ+veadJzCgZVHNZ4uqrNBEgBy+SUDT48FMUVITe/WqULK9d8YYY4wxxhhjjDE/r49dWFEr1S5KkyxKUhfF4VTp7fY1QBXe+7quFYiiyNfkvYTwCM28m6giiqK8lWZZGkXMblXyoKKK0BariosP797/8XeL0bCuyrV7Dx5/95fd9Q1mFpFQH0HMjogIcRzleZZlaRRFvgr78sAuFLmKqADqvS+Ksiiq2guaqge6acMgZnLOxQlcrOTBjOa07E9eGgDvtSzqoqh8rWHwUEhCXBYeLCoEjWKXpnGSRlHMxLXCq4aqCoQ0czmfHL384fLw9fTyHKCH3/324de/cS7myK1uJ2FOD6Asz3r9zvXl7CazA9BM54VPQg2tv2kOaeJUVSUmIgeIiIgKKey8rDHGGGOMMcYYY8zH8fHCu3BKU5SEIxenLkrYRUR8u2Zu1QyrKiISjsEKkYqCQwqmN8dVmTlN0ySJooiYcXMQFLgN7yZXl2evn8+uzuvlsi7L3adftAdrKgImEc/MzEQMBqLYpWmaJIlzronbwmwaQVYb9ES0LKuqrLyoKjVVts1+OCIicsxRBBeBEJbsERMz3ZxPDYdsVVFVdVVW4coSOmtXm/EUzdWjyCVJHMfOOQKpqkdT2UFEpIqqWF4fvz979cPk9ANEe1v3D774NTGrht9ps5VOFSBO0rjVyuI4upslht8KmoO3ITds3sLwKwkHmpmImeTmDb5TbWuMMcYYY4wxxhhjflbRp7jpf/W0perdJXNN5ave2XkXOlKboEkVtfeicvPjQBhJC38JFyFm59iJY2L+Z7e9u9Pu7o3ppw+gm7+E/Xl3nq6CQpJ10x1x8yGh9KF5ZMjcmnaOVQbZ9GaEE6ykTbUrqYTXyUwMQFQgAlb+yRwfgYidY+eYnUKbQ67hhrhJ5ZqPUF/7zyom9L/+yyH8ZCmerropmhlJOyxrjDHGGGOMMcYY85F83J13zf/c6ai4mea6k9zRbd2EhNir+ZaGkbZwDa1r770PFbTQJkdrbkOkgEuytN31Vclxmra77CLcyb5wM8VHKqFXIlxsFZGphnCNbxtdQzVEUy6hIXALdxQ0lRgCUZVw3Hb1ckOSFhpvaTXoRk3kRwhHVqEheSQo6WrdnoiIF/rpUdWQBbKLkqyVtrtlt6+iSdbCzY6+VZXF6rWoeKnqWkTuXCOEej+J6VYTeNCf5Hw3zRx089YZY4wxxhhjjDHGmI/gY0/eMZR95YtFXRa+ztm5sPgNq0yLmdixcwzAh0oHACDA3Z4DBbzXqqrLsiqKqq4Talpzb+I/YqL1nT357i+Xs4nUvrO+kfcGxI6YiMkRN/vzRIi0qur5fLlcFHXtVQBHAEIxBZoDpMJEeZ5nWeaYm2dETZwVkkWv4utK60qlFl8DKupDXkZ3Vs0RUZIkaZo650A3u/MACJRBROSgWC6r2WyxXJZ17eOInIuA+iZjA5Cmra0Hn2Xt3mIyVmDn8WdREhNI4Ql8OzCoENGiqMOrC/cK8R9u0j4N77PS7cAjADAThXFAFboZejTGGGOMMcYYY4wxH8tHDe8IcFDnK7+cF/NpkudRHIchs2ZULOyOcy6O49AsgZs1dmE0bxUsiUhVynJZLhbLskySVJt9cqvwjkD9je28N2iuwAx2LuKm9DXkVhI6LvxyWc5m88V8WYcSCTTRnurtjB47zvIsyzJuwrsQ3QkAJaiI+LouS6kLiEhdidTivaoScajB1fBDzEmSpFnCjimkjKsXFjpeiSCqZeHni2I+Wy4XZZQkjlnCmd1Vshan2ebew/Wdg/DOujh2UaTNOyYI+Z2SCOpKlotyNl1WlV8Fdgjr87AaP1RVZoojdzsSCDRPXERVoBwezavjwMYYY4wxxhhjjDHm5/axJ+9i1rSuprPx+OIkztKs3Vm1zYYJPPHex3HU63VbrTyKnK/DAjta1VBoGBjzvqrrcjqZXlxcZS1eT9oc5tdu58k8CFHUtDdQ0/yq4utmdx6InatKLZaL8Xg6Go7n84UKAKdCROzYKUiJVJQUUeTyPMmyhB0RwLSqhIACpOJ9WflyyVWp4qvFrJgvxCsR352DA+Ail+VJnqdR5G7n9lYnalc750g9lUt/dTk+P7+Os428lat6hQcAXWWd7BgOUOIwIeebN1MVqkSONKpKzKb19dXs6nJcLj0zO2ZmElHvhZmci0RqQLMs6XQ7SRKjuYc0K/Qg4eyviPqyjFWcpXfGGGOMMcYYY4wxHwV/tDuFI5cxISXv5+PR2dF8PASEGbx6FtKEd3Gv1wvhHVGzIm8VbHEYZFPRuvLj8fTk+HR4Pa5ruds3EXbSEVG04lwYdIOKVxGVEAi6qvLX1+Ory+F4NF4uCpVwapVVmShidkQcTovGMbdaed5KneOmi/ZmPE9VvfdV4ZcLqkuui3IyWUzGvqpuJuB0NTXoHOV51mpnSRIxU7PabzV1qMqqDLAqF0t/fn59fHw+ny9XoeXNxr+mjcNFsYsS5oiJoB4QomYyjokhPJ+WVxfT66vpeDgvSx8adptuWWm254XnkOXZYNBLs5QozO6JqoSVggr1dVWVS6mKGOII1lthjDHGGGOMMcYY8xHwR75fzMhYsZhcv/9xenmq6v/JA1SRptna2lqn207SiB2FptTa1+IVqwyL2UVRPBpOvv/jy3dvj2bToq4BOID/ae9r08jQHJ91LiJyqqzioNHoev7i+eu3bw6nk0Vdy6rsgaAQr95772uRWuHjOOr3u71eJ4rdajBNbltuvS+m02o+cb6K66K4OhkevVvMpk0Tra7W4vmaCK121ut1250sSWMA3vuboo7V20BErizrw/dHP754dX52vVxUda2AW71GgoKJHfNqfG/VYutD8y0RXF3L0eHp9398eXE+rOvmHQhb8JqnrVrXdV1XqnWn09re3my3s9tfxW3hrBazyfjiTIp5Qhqtlv0ZY4wxxhhjjDHGmJ/Vx915RxSRpoyoms/PDqdXj0W8qINKSKMAKDRJkjiKO51O3srKcuErVRVSAq22zREYTM6NR7OXP74drHUePDxwUdRpZ+RIcbu0LWzCC3dXgIiZSEFe4D2q0p+fj358/vbw3fFiXogHO0Cb0bXQUyHwgBBrmsb9frfb7UQRK0SaqTSExM1X1WI8rqaTSKpYq9n4cnZ2VEynq+1yzTug6pkpz9NOt93ptVutbFwV4oUZ1Dzbm0Zarip/cnKWJPTw8f7W9lq3m+atGOQVBIgquBnXu+mLVQJBQWCA60pm0+L9u+PnP7y8uhyJBzkisN701TKJ1F68iCeibre1tb3eamVNey+g4cgyoCqLyWh8fqzlImE0k3cW4BljjDHGGGOMMcb8zD725B0TOaZIqmp8MR9dlsWirqpmWGy1rI4IzlG309re2ej12y4CNcNwkNvHwXss5tXwavb29ek//Ofn71+f1BUYCSEmRESu+RklqIOyeqgnaMSURC6bTcqXzz+8+P7t29fHVxcTiItdTM3sGylIV/NsLkKeJ91ea7DW63ZbUUSAV/VhlV5YMbecT8dnH8rxdQxJSV0xK4aXxXx288KpORgLInVOssxtrPfXNwZxHHuvq4k/IOR2zM4xCGVZXV4Nn3//8g+/e351OYXGhJgpJjgoxHvvK0BWp29BcBEncZQC7vzs+vnz1z++eP329eFsPHccE9xN2yzQVN0SIcmidjfrD9qD9W6SxaL+NvEMZbR1PTw7vnjzgoq5IzDZmVljjDHGGGOMMcaYj+FjF1YQISJE6mU2KibX5XIRxQlHMTkikCoBAlJmdLqte/e2i2U9myzEK0DhOKhCOTTUCorCF0V1dHjB7NI42d7a6g3aHIGYmFhvymeJVFUFSiQgFdS1XJyNX3z/7sUP7z68v5iNl45Tx06laYIIo22qqvBR5LrdfLDW7fe7rVaqVKnKTWuEqopoMZtNzo9lep1AUkZSL8vpsJxPfV0TM4eSCwBQYiWSNHMbW4OtrY3z06nIcnU+NTTA0mr/nVZVPRpOXr58A2in0+v1BllKLiEoQUlJQcpNlkZQqLCAxetsVnx4f/rDH1++fvnu5OiMEDmOVqOI4WmHo6/KrGmeDgat/qDd67VcrCKid14dAO/95OJsfPyO62UT3tnYnTHGGGOMMcYYY8zPL/rN//ruY96vruu6rrsvnh8eHta+Fo4V4TjsbU2siECl3+999tnj2XTx4fBYIYSEqKk/bZof2DlicLSYVx/enznmxWJ+8ODe/sFOt9dp5ZmLIuamWVZBxFJV9WJZXl4OT44vXr16//z7t6enV8XSA068EikxY3WbsECulirP8wcP9vYP7rVaaWh1XdXX3r4u7Qxav/rbtX/9Hw4ODlqt1sXFxenZqesOirJKkoQZIgKE8llS+CSN7t3bvr6cfnh/cXU5AVTUMzkgPFJEBQQCi8flxUjlrSqdn18c3N/d3lnvdPIsS5hCpKkAIk4EWCzK2WR0cXF1fHT2w/dvXr08HF5OiSJCRBSJhmKM1Tydei+Vc35zc/3R0931jX4Uk0JEaiCcvZWQ8JGLePfxoLW19T/9z99++22WZXme2z8eY4wxxhhjzP+//re/GQD4H/73ob0Vxhhz42NP3jGzcy5LszzLJtNJWZZpmiRJykQAh1oJUQH5Xq/z+PH946OTOKG6CgvmCOCbE7ZMTEzkqFiU0+nVYrm4vLz6/HJUlbq9szkY9LM8jeOIOGSCUNHZdDkejt++PXz+/PXrV+/fvT1eLn3sUoITAbM2KSJUJFRSeMC3Oun9+3v7+7tZKwWpiigpcXP+NEzelWWlqq12q9VqZVnaauVxFFdluVwsnYuiCKJC0HDGVkBJ4ra3N0cH88Ha6yy7qEr14omYbi8Zjg878TIazmaTxWy6vDi/no7n5f/H3p0uOXKc6YJ2j8COBHKvKhZXUZRESd1tNsuvvoOZC+5LmGuY5UhqURKXqtwzkYkt3M+PQCaphkbWPdOHdDSex2hcs6oQaSo36MXr3zdfn786OTyadDqxqkPOTQ6hrjpNk6+uHt5/d/mH3//x97//4+9/99U3X19062GnGsVYx1CFl8mCMeScUmpybqo6n50f/ezzj49PJnUd1k1KKVVVeN5Cu1kBvF6t67oeDAbdbreua79zAAAAAH4EP/612RhjHAwGBweTu7u7u7u7Tt0ZDscv/7Wq2tUSeTjqnZ4fnr8+fvXm5OLd3f3dPOcUQxsqVWETLIUQQsixit3lU7p4d5+bP15fzo5Pjo6OJuOD0Wg0qjt1CGG1XC0Wi7u7+9uru8vL68vLm7vbWUhVt6qqUMUYY6cKIeac27pZDut1s6jrNBz3z8+PPvr0zfnr4243prx6XjK7yQTX67RarVarZV1Xw8Gg1+t2u73BYNjr954e57d3d71+fzDox+8vmqaU2p2zvZOT6ZsPzi4ubq4uZrPZMny/ByJW7eXUEELInRhijo8Pq2//crWc/19f/eu3Z2dHR8eT4ajf73fDc0VwvlheXd1cXV5fXFxdXV3P7pfdql/FTrt44nm9RnuPOISYqzp36mp80H39wfmnn314MB01efWyhSPGGEKOIa1Wq6fHp9Vq1enUvV6vqip3Ztl1PtEFnGkAZXKaAWz7CcK7qqqGw+FkMqmqavYwGw6GOeXcJkIxbC6jxjQYdvuD3qs3Jx99/Ga1Sg8Ps7ROIcQcOpslES/5Xazq2Fkt1k+zx4e7pz//6WJ8MDo8PDiYjKfTSadThxCenuZPj0+3t3e313eL+WK9zjFWddXpbLp2VVVVm9JfbmfeNSktB8Pu8cnk9QenH3x4fnJ62OnmlNY5NCHkkGPOMeTcNM386WmxXHa7ndFoNBgMOp3OcDgY9Pv397PZ7OFwOg2Tgxg2M+ZyziHnWFXDYe/4ZPL2w/Ory9v50/Lx8SmHJocYYl3FGFK7+DaEEOpY5ZwXj8388fbi3U2nUx8dTw4PDybT8Wg0iCGmnBfz5ePj0/X1zd3d/Xw+X6+bTqfTqfsh1LkNG593UDxfC06hSsNR7+Rk8sHb848+fjMc9Zq0ar8m5/ZWcAwhLJfL2eOsaZrx+GAwGNR1XVWV3zkAAAAAP4LOj/9Lxhh7vd54PO73Bw8P97PZ7IcrUEMOMeYYUoghxurNB2f/y//6jzFUl+8vn2arlFbtbobwVysTYghVFbudTh1jCCku5uubNJvNFtdXd7GqQgjNer1ep9Vy1axjCN1qk6XFl327ebMzIuWQ2iUNnW44OZt++evPv/jFZ4dH4063XTKb2pl3Ibflu/j0NH9/cfn0+DSdTsbjcbfb7Xa7TdOMRuOqunmczR6fHifLSV3Hut2Su7m3GmIMBwfDn3/xabPODw8P9/f3y8VqvU513Y3x39xLbR+1jqEKMYRcPc5W69XD/d287tTta08pr9fNYr5cLUPI3aqqq9iJsc45/mCPbfvXlFKzTsu6mz/86MMvv/zZRx9/cDAZVXUIm7vJcXNxN6R1s57NZne3dzHGo8PD0Wikecd/AT7RBZxpAADsip8svBsOh6PR6P7+7ulp3jSpqnLI8flSZ2p3ocYYzl8dTyYH11c3//f/+f+s1w/zxybFWOUYw3NVL4QQYgh1rNohbU1KebVolot1CinnZvOLhhhjXVdthvaSPn2/JSNvWnxNDinlpq7DoN85f3X0yy8///zzjyeTUV2HnFPKKecUw8scvTCfz+9u71JK49F4NB73er1Op5NzHo9H/X7vcfb49PS0Wq1i7FSxCj8I0mIMw1H/k0/f5hz+9Kc/vXv3/uZ6vlotY4yx2lwPzs9f+/xq27+v5k/N42zVrvdow8QqVjFWz8/aqatQxTpuUtFN6a/90Sk1TV7msOr2Oh999Pof/vFXb9+ej0aDdbNMzSqE9vpwyk0OVUopPTzMZrNZr9s7OTkZj8eadwAAAAA/mp8mhamqqtvtTqfT0Wj89PT09PS4Xq/b//R8tzTlvM5h1emGwaj79qPX//Q//faTT950eyGHVcqrnJtNA+5vyDGEuoqdKtbx+Y8q1lWsnuO+nNOm6Pf8Q3JOIbdrXler9Xww6nzy6ZsvfvHpp5++PT077HZjzs0PfrkYQ5VTWK3Wjw9Pi8Wi3+uPx+N+r9fpdKqq6nQ6o9FoOp1UVXx6nC3m86ZpXn5sG0ymnHPI3V51cjL98jdf/PYff3VyOonVOuVlk5YhrEPMIaQQUogpxhRiCpshfyHGqoqdGLtV7NVVr656VdWJsfr+j1A9d+i+f8gUmnVeLpt5Csuz8+kvfvnp51989PEnbw4OBuv1OqWmvdMb/vr7Mnu4Xy6Xo/Go3+93u121OwAA4H+Qf/nno3aUJwAvOj/Jr1rXdbfbPTo6Wq2Wf/zjV3d391XsjEYvla42lcs5hKqu+3Xng7dn//hPX67XzfuLy9n9vFk3KceYYwhViH8VN7Wj8GIMVRVyjiFW8fuq2/MCiJxzzu3qjOfReZvaXQhNiE1dp+nh8LPPP/r855+8/fDV0fFotVqksA7P62JDiDFXuVkv5vPH2WMMYTI5ODg4aGt3Mcac82g0Pj05ub+7m8/ns9lDr1f3up2XF5JDaPfndjrdw6ODX/zis5zj1eXNze3tct6kJlW5F2LIOW+mAMYQQ86hai/exlCFGEOOIYYY83PM91dpZv6rb0uOMaTcpLDKVdPrxzdvT3715Wef/ezt6zcn67RcN4sQ0qb9mPOmVtg0y+Xy6Wk+GAwmk0m7alZ4BwAAAPCj+WnCu7abNhwOp9PDXq//pz999fj4+MnHn70sM23XoW5mzOVmMh3+7POPmyZ1u70//O5Pf/zDnxdPq6Zpqtip6154zuxefvIQckptt26TNLVJVvsvY4h1/fLgbcuvCbHJoQlhfXg0fvXB6Re/+PQf/ulXH3/8ptuL62aRw+ql9VZVm720s9nDt99+N5vdj0ajk5OT0WjcJnftUo5+v3dwcDCdHn777bfffPN1jKHf71dVFeMmHdv88qHpdMPR8eSzzz6cPy6m08nvf/end99dpdVitYpVVcdYpZxD29aLmwF3IcScq5eNt6HN+P46VUsphef1vk1ucmpyXNXd8Ob8/O2HZ7/9h198+evPz86O1s0i5XUOqa6qWNUp5ZRSrGLI+erq+vLqfZPS65Ozo8OjXq9X17XfM/wXYDMj4EwDKJPTDGDbTxzepZSOjg6//vqbm5ubV+fzuq7bNlysQntjNOeUcxiPR8dH4263e3AwrTud66ur6+Z+8bROOVY5hVw977rIMcYqxpxzk3LcTIjb7InIqQ2+clXXdVWFEFJqVz2kEJoYm6pOdTeevTr89W9+/uvf/uJXX34+nY6atGjS8rnXFkOoYqxCDut1c3//cHNznVI6OTk+Ozsbj0ftndkQQl3X7VKO4+Oj+/u7u7u7+/u74+OjNp0M4WU1RMihqepqcjjudvu9bn98MF6tlo+PD7O7p8WiCaFT5brN7upYx5hTTpvqXwjt69nc/43tcLvvY8GUU865rqpYxZSaFFadOg2H/Y8/+eA3v/3iH/7hlz//5ccpLZu0bC8gx6qu6zqlVQ4p5JhSurm5ubq8HvQHr1+/nk6nwjsAAACAH1nnp/qFY4ydTqff70+nh7PZbDZ7vLy8SKk5PDyMVdXunA3PK2FTXi2XT4Nh98OPXs3nX9Qx/eEPf/7qX795uFss5vMqdjp1L4SwueyZYw4hPA99ey7f5RxSiG3yFprUtP+qSet1s6yrplPnk/PpRx+//vkvPvvVr7948/a826+atMh5FWNqV03ktnuXw3K5ur+fXV1dLRbzyXQymUz6/f5Lctc+XTvXbzweHx8fz+fz29vbd+/enZ2dHRwcbH6WzV/aS7G526uOTiafpg/XzfrwaPr7//bHr//y7ulpsVgu6qpT1d0UYswxtzeFN5dpX4LJzQbcGHL7fcshh5hzSKu0yk2KVe7367cfvv74kw9+/ZsvfvGrz07ODnNY55BCzO3PlFLKObVXgxeL+Wz2cH193azT9OxwNBr1+/02WvV7hv8CfKILONMAANgVP314d3x81DTNV199dXN7U9XV+GBU1Z0Q2s2zOcYQQ0h5vVrn/mAwOZjUdZxOBsNRf7VcfBOul6vHkHOsY26DuxyanEOonv/4fp9syjnGEKucc16ndYwhhCrHFGLu9KvRuPrg7clv//GXv/zy8599/slwNFineUqrENYvDb4cYjsv7+lpfnNz/fBw3+/3zs9PDw8PX6bdvTxgO9dvPB6fnp7OZrPLy8urq6vhcDgcDtto7zm/ayfwpbpbT47G/WF/NB4eHk1CyMvV4v37q9V6Eao6xJxC2uRybTj5sjQ3P5cKQ4ohV3EzLjBUOeaU0jrEpj/oTQ9HP/v8o9/89le//NXPPv3Z25SXOSxzbDbj/0LMOaXUxFjlnB4fZ9fX14v54vDw8PT0dDgcqt0BAAAA/Pg6P+Gv3XbTRqPR0dH69vbw6vLq/fvvDg7Gk8nBYNBrU63vv7iOITSr9aI/qF+/Oa3q37x5/eZPX333x399d3lxe3tz//T0uFisnkfdVSFUOVchb+K0HEMIKcYcn8Ovuu50u/X4YHp4ePD6zcmHH51++PH5249eHZ9Mqzo3aRFiqqoQYxVCSqkdM1c3TVotV5dXl99+921KzdnZ2dHR0XA47Ha7L7W7Voyxrut+vz8ej09OTp6enmaz2bt376qqapc/vHxlzrlpmhCaGOsY82jUe/vhq273f/7004+/+uov33z97ury9u529jRfLBeLkGNqN3XkKoQqhipWMYaY0jqHJoQUU94so+3U/X53Mj06Pp5++OEHbz9688Hb89dvzqaHo9VqEesmVvl5gt73r3y9Xi6Wi2+++cvNze1wOHz16nw6nbS1O79bAACA/6HM8QTY9hOHd1VVjUajGOPbtx/0+72//OXr29vbTqfq9eqqCjmknGNod7tWMeWmWaf+oD4YH52dnf36y+pf//DN+flXv//dH//wh69ubtbxYblcNut1u+aizqnZXHQNIVbtttkcY6rqWFVxMKiHo/7rV6cff/LBF7/47Mtff3Z6Pu0Puzmsl+t5ysu2pldVMaWQ0uZi6nrdPD7Obm9u1uvlycnx+avzo6Oj0Wj0N9ewtuFdzvns7Czn/Oc///nu7m4wGHQ6nV6v9/362xBSanLOVZViFYejznB88tGHbx9/ufjd7/71d7/74+//21d//vM3N9c3Oa9Tk0KTU9vWSzGGuo51rKoQ1zk0MaQQQ1XX3W5nOOxOpgcffvTmk08+/M1vvvz8558NR91uv16vn9brZadql9luFsuG5627y+Xi/v7u5ua2rjunp6evXp23W3T/TTQJAAAAwI+g85O/gud62kHTNFdXV99++818/lhVHw2G/U63eknENhtXq5BDWjfLkNchxMPjwS9//dHZ+cHnX7y9vr6+vrm+v3t4eHh8nM1nj4v1MjVN2qxzqGJdxX6/Mxh2xwejg4PR9HB6dHh0cnJ4cnp0enY4ORpUdVo38xzSy2LZlNK6aULIL4sv7u7uv/3mm4eH+4ODg7Oz0+l0+veHwbXtwuFwOJ1Oj46Ovvvuu3fv3sUqdnu9fr/f6dQhhBBDrGLIYXM3N6cQQsrLTi+++eB8MOi/en1+dXl9c317e3t3f//w8DCbzWaPj/NmnVPa7JMNIVVVHA77w9HwYDyZTCZHR9Oj4+nJ6eHxydHZ2XGvH0JcNWkVYtO26NLz9ya0V5RzWq1W799fXF5dhBBOT0+Pj4/aC7NG3fFfjE90AWcaQJmcZgDbfvrwrh0Vd3Awruvq5OTkm2++vb29m07vUp6MD4Z13QZnIeUUQxViyCE1KbeNvIPD3vHp4cefvFosltfXNxcXF5eXN1eXN1dXt1dXd8v5ar1uUtwANrEAACAASURBVMohhKqKdacajwfTw4OT06PT0+Ozs5Ozs7PJZDQY9us6htgmdasccqw2lbiU83q9bl9kTrlZr+9ub29ubrq9+tWrs1evXrWttL9zpfQlvEspLRaL+Xx+dXV1e3s7Hh+EWFVVd7M1tnpOB0NOMYecmxDqTvf89cn5q7NPPls+Ps5vb26fn/Hy8vLy9vZuuViv15ubxTGGbq8+PJwcHR2dnr46Oz07Ozs9OT0ajnq9fjeEJocm53WTUhVDVYeUc0o5Pk8BTCmv1+vHp6erm+uHh9nh4fHbt2/b671/s1QIAAAAwI8g/nCu3E+iXQGxXC4Xi8W333777t37y8uL9bqZTCcfvv1gdDAaDAYx1jlt0q3YrrJoa2qxqqpOs27W62a+WM6fFovFcrlYz+fLp6dVs07h5fFyziH3et3BsDsc9oejXr/f7/V6vV632+vEGHJucs4hpBA3K25zyDk3Ka2bJqWUb65vL95d3d7e1nV1enby9u3b09OTvzntbvsBm6ZZLBZ3d3fv37//7rvvbm5vu93uyenZ+dn5aDTq9frtzxBDzrmd2herWMdQh1iHHFPK61Uzny/m8/nT/GkxX8zni9Vq1TR5cy84hhhCVcder9fr9QaD4WAwHA77g0G/041tNNm+kBxSm8O1/1xVVYxhvV4vFvNvvvn66upyvng6GB+8fvX6o48+Go1G7SVf4R0AAADAT+Knb961tz7bqWpnZ2eDwaCu6/fv39/e3o1Ho1DV/f4w5JBziO2W1RDbfC2GtoW3SCHFOo/GnYPJoFN1O51eCHXIVYyxqjYrWZsmrddNjKGuQ6hyCM16vVoulzGmGJvNyogY6irGqr1GmkPI7dqJlJqnp/nV1fXV9VW323n95vUHH7w5PJz+e5K78LxXN4QwnU6rqqrrOsR4c31zfXnV7XTbvRYxdqqqCrn9RTe/dA45NesQYlXV3X7V7Q0n02GMJ3Vd1XWnrjvhed9sjKHdz9s0Ob3Ibba3fl5TG3LcpJk5h5fINuewXK4eHmYX7y+e5o9HR0c/++yz6XTalgq73a7fJAAAAAA/lU4hr6PNsAaDQUrp5OQ4hPDu3buvv/729u5+/jSfTA7H44NNPe15f+zLfdEYYw45xJxDavI6NznkGHKMMVbVZoxcTjmlHGJePwdkKaXcDrNrf74Ycggph7iZBJdzCM26WSzmFxcXF+8vHh8fe73+6cnJycnxaDT8+6PutlVV1el0BoPBdDpdrVY5pZvbuz//+U+z2ezVq1eb/bPta4vtJdoQQohVWzNMYTMSL+QQm5RySE1ebXK4EEKMVaxCDKnJOaWcUw4pxlBVIeUm5yb/4PscY4jtNyul+Xz+9PT03bffXd9crder46Pjs7Ozg4ODf2cuCQAA8J/IHE+AbWWFd/1+v43DhsNhiOH9u4v7u4e67uYc+/1BVXVjrDYLFjYZXIhVjFXYdPJCSjmnZp03YVeMsQoh5JCfA792T+v3c+LaOt/mGm57b7b9ipxyzvP5/OHh/vLy+u7+fjQcvXnz+vXr1wcH49Fo1Ov12j7dv1M7/K79+7qu67oTY3V1fX1zfd2urWiTsrqu67qKVdW+iE14l9sXGHM78y/nlEJImzu27aPUVR1ClXPKqb38m+tOrKoY0jqE5nkzRR1iG+CF3OSmaWazh+vrm4uL9+tmdXpy/PHHH08mBwcHB0bdAQAAAJTgp59590MppXY83GKxuLq6ury8urq6ns1mMVbTw9bRcDjo9fo555ybGGNVt6Hb843a9q+5nQL3PPIubv4xxLahl3POmw5au+H1B9+DpmnaVOvu9vbq+mo2ewg5j8fjk5OT8/Oz6XTaLmDtdDr/0WJaG7atVqvFYnF//3B9fXV5eXlze7uYL3r93uHh4eHh8XQ6HQwGnW6nfenV8/i951l/MeSQ4/NDPm/FzSHGXOUQwyamzCGkWOUQ2hZejrGKMeYcX3ZT3N893NzcXlxczOfzfq83nU7Ozs9ev3o1HA7bOXf/oWgSdotPdAFnGgAAu6KsgKZ61q5wHY/HR0dHd3d3f/n66+urq+VykXPOeVrXdQgx5xSrGPPLntbQDnPLz5dDQwipaUJ4Hl63+bexjbiel1+0m11jDFWI8WW5xO3t7eXl+/v7++FgcH5+fnp6Mp1Ox+Nxv9/vdrt/Z73s39G2C9uxd91udzgcTKfT+/v777777uLy4vLyIjWp017FjSHGHGPMsao2GzTafuDLn3KbQ8YqtOFjTmlzCfjlXnFIKa9DDiGGWIUqxmadU2qWy9XT4/zy8uLm+na5mJ+fnR4fHx0fH08mk/F43O12bagAAAAAKERZzbtW21BbLpfL5XI2m81mj999993V1fV8/pRzHo3Gxyen0+lkMjnodDqdThVD/Ksfm3OMsa6qEEK7ujWEEGNsi3Ipf//V+fu/xhji09P8/uHh5vrq5vZ2/vSYcx4Oh2dnpycn3yd3nU7nPzTq7m9qC4bL5XI+n89ms+vr63fv39/d3a2Wy06nM5lMD4+Ojg6no/G406nrqg0KY9u4SymHkGN8Xt8Rc95s86hCqNpYsr0KnEN6XqEbYowp5cfH+cPDw8XFxf39w3K57NT1dHr4+vWryWQymUyGw80gP6PuAAAAAApR4tXIl/l3bVLW7/c7nXo6nVxcXFxfX9/f3zbNer1adjtVv98PuftcqQsxbq7Ehk0hb+MloMw555SeC3c5pfTya+acHx7uLy/eX15eLRbz4XBwcnLSxnbtAof2qux/SiXtpWBY13Wn0+l2u4PB4Obm5vLy8u7u7urqcrVaxpA7nU5O3VSn5wesYowpNSGEqtq8jJxy+yybe7FtlPf9Uo6cUs45hRBWq9Xd7d319fXV5VVKaTKZnJ6eHh8fHx4eDgaDdsidq7IAAAAARSmxeddqY7j1er1er5+enp6enm5vb+/u7m5ubh4fH9frdc65jfYGg0EbrrX/2H1WVdW/ydqaplmtVqvVarlctn/Tztd7epovl8umWcdYdbvd8Xg8nU6Ojo4mk8loNGqDrf/0Slp7RXe9Xq9Wq8fHx9lsdnt7e3t7+/Dw8PT0lFKKMbYP0s6h63Z7vV630+n2er1e7/vX04Z2bbdu9b1l+3TLZfuIi9VqlVKuqqrf708mk+l0enR0NB6Px+NxGyC2eaLfEgAAwE/FHE+AbeU2rdq6Wa/Xewmw2q0Rs9ns8fHx/v7+4eHh7u6u/Zter9fGdu2XDQaDpmleti7E52F2bWw3m81ms1mb37XBVghhMBgcHp5MJpODg4PxeNzmZe3P+T9oBlyMsX2FvV6v1+uNx+PpdHp2dvb4+Pjw8PD4+PjydPf39+0rGQwGo9FoNBqltAkrX6bvtTlgm3I+Pj4un0O75XK5Xq/ruh6NRgcHB+3935cHbL+9MjsAAACAMpXbvPuhdkhcW1Kbz+eLxeLx8fHp6en+/v7x8bGtla3X66Zpqqpqe2Tdtqj23L9rh+i1X9nmWe3l3DY+GwwG4/H44OBgNBo919y67T3ZH2EGXHuB9yVbXCwWbQY3m83aFl77gtuy4csDvgSL7cv74TenaZqUUtuka794OBy2LcK2SPgS27U/3HoK9o1PdAFnGgAAu2I3Zpy95FBtSW21Wo3H4+VyeXx83LbnVqvVbDabz+dtlvf4+BhCaK+dtuFUm221kVan02k3q45Go36/37b2ej/QXpL9/7+Y4t+pjRHbJLF9McPhcLlcHh4etvXAdrXFS6tuPp/P5/OHh4f2h7Qvss0u25+tvUc8HA5Ho9HLQ7XP+HKn+IetPQAAAADKtBvNuxft7de2p9ZW1drQar1ez+fzNuRq22dtAa3Ns8LzJdxOp9Pv99sxeS9bGtoCWluya//cxnY//mXSdsxf+4Avz9X+ud29O3/W3odtv/Ll6aqqanO6tjz4w2u/dV2/BHZtl1DhDgAAAKB8Oxbe/RvpWfMDbeDVBlsppfYB23jrpeD28ud25etLmFVUntVep23jvO1E7+UBX57ubz7gy9NJ6wAAAAB2zm6Hd/kH2pyrDfJeYrvW5lFjbDOstljXplrxrxX7gC9Pt/2A7aP98AF/+Jg/fEb/cwcAAEpmjifAts5Ov/rtTCr/tfbfvPzXH9brdiLPenmR7Xy6/7ene3mi8IMWnrQOAAAAYNftdvMO4P8Dn+gCzjQAAHZF5VsAAAAAAGXSvAMAAACAQmneAQAAAEChhHcAAAAU4V/++agd5QnAC+EdAAAAABTKzDtg79jMCDjTAADYFZp3AAAAAFAozTsAAAAAKJTmHQAAAAAUSngHAABAEWybBdgmvAMAAACAQpl5B+wdmxkBZxoAALtC8w4AAAAACqV5BwAAAACF0rwDAAAAgEIJ7wAAACiCbbMA24R3AAAAAFAoM++AvWMzI+BMAwBgV2jeAQAAAEChNO8AAAAAoFCadwAAAABQKOEdAAAARbBtFmCb8A4AAAAACmXmHbB3bGYEnGkAAOwKzTsAAAAAKJTmHQAAAAAUSvMOAAAAAAolvAMAAKAIts0CbBPeAQAAAEChzLwD9o7NjIAzDQCAXaF5BwAAAACF0rwDAAAAgEJp3gEAAABAoYR3AAAAFMG2WYBtwjsAAAAAKJSZd8DesZkRcKYBALArNO8AAAAAoFCadwAAAABQKM07AAAAACiU8A4AAIAi2DYLsE14BwAAAACFMvMO2Ds2MwLONAAAdoXmHQAAAAAUSvMOAAAAAAqleQcAAAAAhRLeAQAAUATbZgG2Ce8AAAAAoFBm3gF7x2ZGwJkGAMCu0LwDAAAAgEJp3gEAAABAoTTvAAAAAKBQwjsAAACKYNsswDbhHQAAAAAUysw7YO/YzAg40wAA2BWadwAAAABQKM07AAAAACiU5h0AAAAAFEp4BwAAQBFsmwXYJrwDAAAAgEKZeQfsHZsZAWcaAAC7QvMOAAAAAAqleQcAAAAAhdK8AwAAAIBCCe8AAAAogm2zANuEdwAAAABQKDPvgL1jMyPgTAMAYFdo3gEAAABAoTTvAAAAAKBQmncAAAAAUCjhHQAAAEWwbRZgm/AOAAAAAApl5h2wd2xmBJxpAADsCs07AAAAACiU5h0AAAAAFErzDgAAAAAKJbwDAACgCLbNAmwT3gEAAABAocy8A/aOzYyAMw0AgF2heQcAAAAAhdK8AwAAAIBCad4BAAAAQKGEdwAAABTBtlmAbcI7AAAAACiUmXfA3rGZEXCmAQCwKzTvAAAAAKBQmncAAAAAUCjNOwAAAAAolPAOAACAItg2C7BNeAcAAAAAhTLzDtg7NjMCzjQAAHaF5h0AAAAAFErzDgAAAAAKpXkHAAAAAIUS3gEAAFAE22YBtgnvAAAAAKBQZt4Be8dmRsCZBgDArtC8AwAAAIBCad4BAAAAQKE07wAAAACgUMI7AAAAimDbLMA24R0AAAAAFMrMO2Dv2MwIONMAANgVmncAAAAAUCjNOwAAAAAolOYdAAAAABRKeAcAAEARbJsF2Ca8AwAAAIBCmXkH7B2bGQFnGgAAu0LzDgAAAAAKpXkHAAAAAIXSvAMAAACAQgnvAAAAKIJtswDbhHcAAAAAUCgz74C9YzMj4EwDAGBXaN4BAAAAQKE07wAAAACgUJp3AAAAAFAo4R0AAABFsG0WYJvwDgAAAAAKZeYdsHdsZgScaQAA7ArNOwAAAAAolOYdAAAAABRK8w4AAAAACiW8AwAAoAi2zQJsE94BAAAAQKHMvAP2js2MgDMNAIBdoXkHAAAAAIXSvAMAAACAQmneAQAAAEChhHcAAAAUwbZZgG3COwAAAAAolJl3wN6xmRFwpgEAsCs07wAAAACgUJp3AAAAAFAozTsAAAAAKJTwDgAAgCLYNguwTXgHAAAAAIUy8w7YOzYzAs40AAB2heYdAAAAABRK8w4AAAAACqV5BwAAAACFEt4BAABQBNtmAbYJ7wAAAACgUGbeAXvHZkbAmQYAwK7QvAMAAACAQmneAQAAAEChNO8AAAAAoFDCOwAAAIpg2yzANuEdAAAAABTKzDtg79jMCDjTAADYFZp3AAAAAFAozTsAAAAAKJTmHQAAAAAUSngHAABAEWybBdgmvAMAAACAQpl5B+wdmxkBZxoAALtC8w4AAAAACqV5BwAAAACF0rwDAAAAgEIJ7wAAACiCbbMA24R3AAAAAFAoM++AvWMzI+BMAwBgV2jeAQAAAEChNO8AAAAAoFCadwAAAABQKOEdAAAARbBtFmCb8A4AAAAACmXmHbB3bGYEnGkAAOwKzTsAAAAAKJTmHQAAAAAUSvMOAAAAAAolvAMAAKAIts0CbBPeAQAAAEChzLwD9o7NjIAzDQCAXaF5BwAAAACF0rwDAAAAgEJp3gEAAABAoYR3AAAAFMG2WYBtwjsAAAAAKJSZd8DesZkRcKYBALArNO8AAAAAoFCadwAAAABQKM07AAAAACiU8A4AAIAi2DYLsE14BwAAAACFMvMO2Ds2MwLONAAAdoXmHQAAAAAUSvMOAAAAAAqleQcAAAAAhRLeAQAAUATbZgG2Ce8AAAAAoFBm3gF7x2ZGwJkGAMCu0LwDAAAAgEJp3gEAAABAoTTvAAAAAKBQwjsAAACKYNsswDbhHQAAAAAUysw7YO/YzAg40wAA2BWadwAAAABQKM07AAAAACiU5h0AAAAAFEp4BwAAQBFsmwXYJrwDAAAAgEKZeQfsHZsZAWcaAAC7QvMOAAAAAAqleQcAAAAAhdK8AwAAAIBCCe8AAAAogm2zANuEdwAAAABQKDPvgL1jMyPgTAMAYFdo3gEAAABAoTTvAAAAAKBQmncAAAAAUCjhHQAAAEWwbRZgm/AOAAAAAApl5h2wd2xmBJxpAADsCs07AAAAACiU5h0AAAAAFErzDgAAAAAKJbwDAACgCLbNAmwT3gEAAABAocy8A/aOzYyAMw0AgF2heQcAAAAAhdK8AwAAAIBCad4BAAAAQKGEdwAAABTBtlmAbcI7AAAAACiUmXfA3rGZEXCmAQCwKzTvAAAAAKBQmncAAAAAUCjNOwAAAAAolPAOAACAItg2C7BNeAcAAAAAhTLzDtg7NjMCzjQAAHaF5h0AAAAAFErzDgAAAAAKpXkHAAAAAIUS3gEAAFAE22YBtgnvAAAAAKBQZt4Be8dmRsCZBgDArtC8AwAAAIBCad4BAAAAQKE07wAAAACgUMI7AAAAimDbLMA24R0AAAAAFMrMO2Dv2MwIONMAANgVmncAAAAAUCjNOwAAAAAolOYdAAAAABRKeAcAAEARbJsF2Ca8AwAAAIBCmXkH7B2bGQFnGgAAu0LzDgAAAAAKpXkHAAAAAIXSvAMAAACAQgnvAAAAKIJtswDbhHcAAAAAUCgz74C9YzMj4EwDAGBXaN4BAAAAQKE07wAAAACgUJp3AAAAAFAo4R0AAABFsG0WYJvwDgAAAAAKZeYdsHdsZgScaQAA7ArNOwAAAAAolOYdAAAAABRK8w4AAAAACiW8AwAAoAi2zQJsE94BAAAAQKHMvAP2js2MgDMNAIBdoXkHAAAAAIXSvAMAAACAQmneAQAAAEChhHcAAAAUwbZZgG3COwAAAAAolJl3wN6xmRFwpgEAsCs07wAAAACgUJp3AAAAAFAozTsAAAAAKJTwDgAAgCLYNguwTXgHAAAAAIUy8w7YOzYzAs40AAB2heYdAAAAABRK8w4AAAAACqV5BwAAAACFEt4BAABQBNtmAbYJ7wAAAACgUGbeAXvHZkbAmQYAwK7QvAMAAACAQmneAQAAAEChNO8AAAAAoFDCOwAAAIpg2yzANuEdAAAAABTKzDtg79jMCDjTAADYFZp3AAAAAFAozTsAAAAAKJTmHQAAAAAUSngHAABAEWybBdgmvAMAAACAQpl5B+wdmxkBZxoAALtC8w4AAAAACqV5BwCwy27/D98DYLcd/rPvAcDfoXkHAAAAAIUS3gEAAFAE22YBtgnvAAAAAKBQHd8CYN/YzAgAUCbv0AC2ad4BAAAAQKE074C94xNdAAAAdoXmHQAAAAAUSngHAABAEWybBdgmvAMAAACAQpl5B+wd22YBAMrkHRrANs07AAAAACiU5h2wd3yiCwAAwK7QvAMAAACAQgnvAAAAKIJtswDbhHcAAAAAUCgz74C9Y9ssAECZvEMD2KZ5BwAAAACF0rwD9o5PdAEAANgVmncAAAAAUCjhHQAAAEWwbRZgm/AOAAAAAApl5h2wd2ybBQAok3doANs07wAAAACgUJp3wN7xiS4AAAC7QvMOAAAAAAolvAMAAKAIts0CbBPeAQAAAEChzLwD9o5tswAAZfIODWCb5h0AAAAAFErzDtg7PtEFAABgV2jeAQAAAEChhHcAAAAUwbZZgG3COwAAAAAolJl3wN6xbRYAoEzeoQFs07wDAAAAgEJp3gF7xye6AAAA7ArNOwAAAAAolPAOAACAItg2C7BNeAcAAAAAhTLzDtg7ts0CAJTJOzSAbZp3AAAAAFAozTtg7/hEFwAAgF2heQcAAAAAhRLeAQAAUATbZgG2Ce8AAAAAoFBm3gF7x7ZZAIAyeYcGsE3zDgAAAAAKpXkH7B2f6AIAALArNO8AAAAAoFDCOwAAAIpg2yzANuEdAAAAABTKzDtg79g2CwBQJu/QALZp3gEAAABAoTTvgL3jE10AAAB2heYdAAAAABRKeAcAAEARbJsF2Ca8AwAAAIBCmXkH7B3bZgEAyuQdGsA2zTsAAAAAKJTmHbB3fKILAADArtC8AwAAAIBCCe8AAAAogm2zANuEdwAAAABQKDPvgL1j2ywAQJm8QwPYpnkHAAAAAIXSvAP2jk90AQAA2BWadwAAAABQKOEdAAAARbBtFmCb8A4AAAAACmXmHbB3bJsFACiTd2gA2zTvAAAAAKBQmnfA3vGJLgAAALtC8w4AAAAACiW8AwAAoAi2zQJsE94BAAAAQKHMvAP2jm2zAABl8g4NYJvmHQAAAAAUSvMO2Ds+0QUAAGBXaN4BAAAAQKGEdwAAABTBtlmAbcI7AAAAACiUmXfA3rFtFgCgTN6hAWzTvAMAAACAQmneAXvHJ7oAAADsCs07AAAAACiU8A4AAIAi2DYLsE14BwAAAACFMvMO2Du2zQIAlMk7NIBtmncAAAAAUCjNO2Dv+EQXAACAXaF5BwAAAACFEt4BAABQBNtmAbYJ7wAAAACgUGbeAXvHtlkAgDJ5hwawTfMOAAAAAAqleQfsHZ/oAgAAsCs07wAAAACgUMI7AAAAimDbLMA24R0AAAAAFMrMO2Dv2DYLAFAm79AAtmneAQAAAEChNO+AveMTXQAAAHaF5h0AAAAAFEp4BwAAQBFsmwXYJrwDAAAAgEKZeQfsHdtmAQDK5B0awDbNOwAAAAAolOYdsHd8ogsAAMCu0LwDAAAAgEIJ7wAAACiCbbMA24R3AAAAAFAoM++AvWPbLABAmbxDA9imeQcAAAAAhdK8A/aOT3QBAADYFZp3AAAAAFAo4R0AAABFsG0WYJvwDgAAAAAKZeYdsHdsmwUAKJN3aADbhHcAADvsX/63/93/3QUA+C8s5px9FwAAAACgQGbeAQAAAEChhHcAAAAUwbZZgG3COwAAAAAolJl3wN6xbRZwpgEAsCs07wAAAACgUJp3AAAAAFAozTsAAAAAKJTwDgAAgCLYNguwTXgHAAAAAIUy8w7YOzYzAs40AAB2xX9n715Dbs0Ou4CvtZ6997vf63nPmXNmzpl72piZJCZYG1qaxg+KiIKgFskHwaj9JGhbCeIHIaItCEW/tMFP3ogFhX5ICRSMwSJoU0F60xhymUknM3Pu7/26L8/zrOWHdzJO3akULz1rZ/9+hDDMe2afM8/A4uH//t/117wDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVGwJkGAMCy0LwDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVGwJkGAMCy0LwDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVGwJkGAMCy0LwDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVGwJkGAMCy0LwDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVGwJkGAMCy0LwDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVGwJkGAMCy0LwDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVGwJkGAMCy0LwDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WTW8KnQAAIABJREFUYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVGwJkGAMCy0LwDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVGwJkGAMCy0LwDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVGwJkGAMCy0LwDAAAAgEpp3gEAAABApTTvAAAAAKBSwjsAAACqYG0WYJHwDgAAAAAq5c47YOVYZgScaQAALAvNOwAAAAColOYdAAAAAFRK8w4AAAAAKiW8AwAAoArWZgEWCe8AAAAAoFLuvANWjmVG4HvKya95BsD3iGsf9wwAFmneAQAAAEClBh4BsGp07gAAAFgWmncAAAAAUCnhHQAAAFWwNguwSHgHAAAAAJVy5x2wcqzNAgDUyRsawCLNOwAAAAColOYdsHJ8RxcAAIBloXkHAAAAAJUS3gEAAFAFa7MAi4R3AAAAAFApd94BK8faLABAnbyhASzSvAMAAACASmneASvHd3QBAABYFpp3AAAAAFAp4R0AAABVsDYLsEh4BwAAAACVcucdsHKszQIA1MkbGsAizTsAAAAAqJTmHbByfEcXAACAZaF5BwAAAACVEt4BAABQBWuzAIuEdwAAAABQKXfeASvH2iwAQJ28oQEs0rwDAAAAgEpp3gErx3d0AQAAWBaadwAAAABQKeEdAAAAVbA2C7BIeAcAAAAAlXLnHbByrM0CANTJGxrAIs07AAAAAKiU5h2wcnxHFwAAgGWheQcAAAAAlRLeAQAAUAVrswCLhHcAAAAAUCl33gErx9osAECdvKEBLNK8AwAAAIBKad4BK8d3dAEAAFgWmncAAAAAUCnhHQAAAFWwNguwSHgHAAAAAJVy5x2wcqzNAgDUyRsawCLNOwAAAAColOYdsHJ8RxcAAIBloXkHAAAAAJUS3gEAAFAFa7MAi4R3AAAAAFApd94BK8faLABAnbyhASzSvAMAAACASmneASvHd3QBAABYFpp3AAAAAFAp4R0AAABVsDYLsEh4BwAAAACVcucdsHKszQIA1MkbGsAizTsAAAAAqJTmHbByfEcXAACAZaF5BwAAAACVEt4BAABQBWuzAIuEdwAAAABQKXfeASvH2iwAQJ28oQEs0rwDAAAAgEpp3gErx3d0AQAAWBaadwAAAABQKeEdAAAAVbA2C7BIeAcAAAAAlXLnHbByrM0CANTJGxrAIs07AAAAAKiU5h2wcnxHFwAAgGWheQcAAAAAlRLeAQAAUAVrswCLhHcAAAAAUCl33gErx9osAECdvKEBLNK8AwAAAIBKad4BK8d3dAEAAFgWmncAAAAAUCnhHQAAAFWwNguwSHgHAAAAAJVy5x2wcqzNAgDUyRsawCLNOwAAAAColOYdsHJ8RxcAAIBloXkHAAAAAJUS3gEAAFAFa7MAi4R3AAAAAFCpWErxFICVYm0WcKYBALAsNO8AAAAAoFKadwAAAABQKc07AAAAAKiU8A4AAIAqWJsFWCS8AwAAAIBKufMOWDmWGQFnGgAAy0LzDgAAAAAqpXkHAAAAAJXSvAMAAACASgnvAAAAqIK1WYBFA48AAACAep38mmcALIdrH///8anCO2DlWGYEnGkAdXKaASzyY7MAAAAAUClrswAAAFTMj80Cy+L/z4/Nat4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTK2iywciwzAs40gDo5zQAWad4BAAAAQKWszQIAAFAxa7PAsrA2CwAAAAArRXgHAABAFazNAiwS3gEAAABApazNAivHMiPgTAOok9MMYJHmHQAAAABUytosAAAAFbM2CywLa7MAAAAAsFKEdwAAAFTB2izAIuEdAAAAAFTK2iywciwzAs40gDo5zQAWad4BAAAAQKWszQIAAFAxa7PAsrA2CwAAAAArRXgHAABAFazNAiwS3gEAAABApazNAivHMiPgTAOok9MMYJHmHQAAAABUytosAAAAFbM2CywLa7MAAAAAsFKEdwAAAFTB2izAIuEdAAAAAFTK2iywciwzAs40gDo5zQAWad4BAAAAQKWszQIAAFAxa7PAsrA2CwAAAAArRXgHAABAFazNAiwS3gEAAABApazNAivHMiPgTAOok9MMYJHmHQAAAABUytosAAAAFbM2CywLa7MAAAAAsFKEdwAAAFTB2izAIuEdAAAAAFTK2iywciwzAs40gDo5zQAWad4BAAAAQKWszQIAAFAxa7PAsrA2CwAAAAArRXgHAABAFazNAiwS3gEAAABApazNAivHMiPgTAOok9MMYJHmHQAAAABUytosAAAAFbM2CywLa7MAAAAAsFKEdwAAAFTB2izAIuEdAAAAAFTK2iywciwzAs40gDo5zQAWad4BAAAAQKWszQIAAFAxa7PAsrA2CwAAAAArRXgHAABAFazNAiwS3gEAAABApazNAivHMiPgTAOok9MMYJHmHQAAAABUytosAAAAFbM2CywLa7MAAAAAsFKEdwAAAFTB2izAIuEdAAAAAFTK2iywciwzAs40gDo5zQAWad4BAAAAQKWszQIAAFAxa7PAsrA2CwAAAAArRXgHAABAFazNAiwS3gEAAABApazNAivHMiPgTAOok9MMYJHmHQAAAABUytosAAAAFbM2CywLa7MAAAAAsFKEdwAAAFTB2izAIuEdAAAAAFTK2iywciwzAs40gDo5zQAWad4BAAAAQKWszQIAAFAxa7PAsrA2CwAAAAArRXgHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXfAyrHMCDjTAABYFpp3AAAAAFApzTsAAAAAqJTmHQAAAABUSngHAABAFazNAiwS3gEAAABApdx5B6wcy4yAMw0AgGWheQcAAAAAldK8AwAAAIBKad4BAAAAQKWEdwAAAFTB2izAIuEdAAAAAFTKnXcAAEvM2iwAwPc2zTsAAAAAqJTmHQAAAABUSvMOAAAAAColvAMAAKAK1mYBFgnvAAAAAKBS7rwDAAAAgEpp3gEAAABApYR3AAAAAFAp4R0AAAAAVEp4BwAAAACVEt4BAAAAQKWEdwAAAABQKeEdAAAAAFRKeAcAAAAAlRLeAQAAAEClhHcAAAAAUCnhHQAAAABUSngHAAAAAJUS3gEAAABApYR3AAAAAFAp4R0AAAAAVEp4BwAAAACVEt4BAAAAQKWEdwAAAABQKeEdAAAAAFRKeAcAAAAAlRLeAQAAAEClhHcAAAAAUCnhHQAAAABUSngHAAAAAJUS3gEAAABApYR3AAAAAFAp4R0AAAAAVEp4BwAAAACVEt4BAAAAQKWEdwAAAABQKeEdAAAAAFRKeAcAAAAAlRLeAQAAAEClhHcAAAAAUCnhHQAAAABUSngHAAAAAJUS3gEAAABApYR3AAAAAFAp4R0AAAAAVEp4BwAAAACVEt4BAAAAQKWEdwAAAABQKeEdAAAAAFRKeAcAAAAAlRLeAQAAAEClBh4BAECd+q7r2vbxm98+fO3rl2+/3t77Vjh53EzOmvkktfMQSo5NPxznjZ187al064Xx899/4w99+OZLL4+3ttbGYw8QAOB7QCyleAoAAFU52Ht8+PDB4f275w/udfsP4+HDwdn+4OJ4ML9o2mmT+yb3McQSUp+abrg2H623G9v99o3+2jPNjWc2nnl25/Zzt1548eYzt5umSckPWwAALCvNOwCA6hzv7T34xlcOvvbb7VtfX788WZ9fjHM7LiXlPuYuhdCkmEIMJeYQu3YynJzMzh/ODppuMD4b7xzffPn45Q/GGHdvPBVjFN4BACwv4R0AQBVyzrnv777xO4/eeP3ojW/M3n5tcHBv82x/vZuMunYU+mHIseQQcgwhlZhCSiWWEmIoMZYmxmFsRn0/mvaX+6WdT968ODu8++Yz73/l+e97/2g8Ho1GHjIAwNIR3gEAVCHn3LXto9e+/uC//Ep69O2twwfj9nLcd6OYmxCa0oeQQ/jOhSclxFCa0IRSQu5SzGGQxjG3pV2bzdYnp7OTvdnxo+OHb4a23b1xc/v6deEdAMAyEt4BADx5pZS3Xn/t0etfP/zqbwwev7Fxvr/Vnq/ldhRyU0KMsaQQQiwxlhBCjKGEElJfmhBKSDGGPoQSck4lj0pochqVOJocXx6mk6/++ldnszt/+I+870MfHo5Gg4HXPwCAZeLtDQDgCSul5Jwfvv7Ne7/2pbX9N6+d3t9qJxu5HYY8CCXEmGPTp1hiLDHmEEKMMaZcYu5TjCGlEENfQhtKH3M/LGUUmlK64fQsdW3XtkfHB2m0dvvFl8LWlvAOAGC5eHsDAHjCHj+4f/DgwdEb3xjs310/PxrPp8PcNaGUGPoYckx9aspgEIaD4dracDweDIYxNTGmGAalhJL7vp210/N2Pgmzae7bQYiphGHpxt1sa3oSYnPxra9+c3v79isfevkDr3jgAPC9YT6ft+387r17e/tHXdfnUprUNE0qJXR9P+3DcPvGaHMrl356dtTML2/t7jx/5/bNmzc9uuUivAMAeML27997+yu/Mb/7+s7F0cb8fNS3TcghhhxDF2KfUtcM0mjcjNcH13au3bi+Nl6PzSA2wzQY5hza+Wx2fn5xfNidHpd8lsskhBJzbkoelvnGPKQQz+59fb+0w40N4R0AfM+4d//+w0cPzy+nfRrlOGhzSCU2JaSU4mjQhuasi93pLKQwDKNxah8cHp1fXD5zcnrrqad2d695gMtCeAcA8CSVUo7uvn36+lfHRw/X29la7oehxBj7FJu10dp4nHZvhBtPp9Skth0NBs3aOAxHsRmk0agZjZvUxH4jbmzGre3R+fXZ4UF7epQnF/10EmJpShmFLnaX87O9iwfp5O03Ht27u7VzbXN725MHgGV3cHAwmc3H15/avv1SG4Ynl+1gkDbGw7VRGo7jw6Pzu28cHp/PBqP0zO7W89/3fDM5PXj7Xtk7HA2HwrslIrwDAHiSSs4X998O9741np+O8nwY8iCGnFKf0nBja+P6jfH3ff/aBz4Y2y4/eFQuznPfdn1OsR+EkgYpDUeDpmmuNWshdZPJbPPe5OHofO9hO501sTSpj7mPOY8vj2Zdf3n/24/eeD2/+D7hHQB8D2i7roxGJ7l5+/HZ/mX/6Hi6vrF+68b1lMK0newdn7318PR8Ohs08dbJ7GhWnt4I6+OtbnLe333Qtt3Np26I8JaC8A4A4Enq2zYf3N+an623l4O+TaGE2JTBsBuO0u7N8QsvjZ97efT0s/nstNs/mnXd9PQk991gkJrhMKyNm7Vxs74+2Ngabm6Ptrdivh1S0+au77swn5T5LJZ+kPu13K33s5PDR49e+/poY+vOiy958gCw7Nq+D+ubh238ysOD39m/eGvvcmf3+kvPj7u+3z88ODw9P76czNs2xXxjPLp/PHvl+d0ffP+dzTA5e+vu/cf7g0EjvFsKwjsAgCepb+eDw/vreTrO86ZvQ4o5Nf1grR9vxqduj17+Q6Pbd+L6dn9+Oe/6y/Pzi/39PJsMmxhS7FJM4/Hazu7GjZubzWC0c21482ZZX1tvZ7mdz06Puq5rcp9CGDVxo0nnZycnb37r2nMve+wA8D2ghJBT08bBJKSz0h5205PT+cWDo5zL6fn0cpYnXdPnMIihn8XucJrj2Wg4fHm32VnbOpufffve/a7vbt64sbu762HWTHgHAPBEde3ofH8jTwe5bUIf4qCkNNjYGt24Nb5xa7C9W0rqDo+me3uXh4fTs9N+OonzaUkhxJJD6dtZyTmHmAejcUxru9cHO7vjp5/J7Xzezbvz8xhTE3MspcndYHKaDx5PT45zziGElJLHDwDLLOaQchr1ozRt+vM4nVx0e9PDUmJXcl9CH4chDEcxtl1/MZlMp13flunz137o/c9cG+wcvfnWvYePm9QI7yonvAMAeLIv3d14crDWzZvSpxhyjF3TjLe3N+88t3H9qWY46s/Op4f7Fw/unz64n89Phn0/iGEYSik5hNy18/nF+byEaQ7rOVzf2Nzc2R0//Uwp5fT4uA17KaQmpJJzaeeD5mJwftxdnOW+D8I7AFhypYRUmlCa0pXSh1xS1/dd35eQcgglxhxjCHGeS84x58HJvLx9NB2kuDmOlzfS2tpGmV++ef9BCOX67q4Ir1rCOwCAJ/venddmZ00/TyWkGHMIOYZmvL6xu7u2uRFjaC/OLh/cmz5+WM5P4nzW5DyIMYVQQmxCzKWErusmky6chLWN7dksDgaD3RuDktJbd+NwHEouuQ8lpJAH3WzQXvaXF5dnZyGEnRs3PH4AWOa3iNCUQZNT6NvQlpBDKO9+LYYQQ4mlhK6UkkOMo0nOj0/n3XzWtpPjZzd/8P23bq6X8zffuvfwcQhBeFct4R0AwJMUcz+cT1PuYokhptyUHEIaDkZbG8O1Qcx9d3F6sfewP9oftdOU+0EI6ep1PIYYQoqhCSF3fXt52Z6d5ekshBi2r8XBWrp2vRlvxtzlrk0xNjGl0qduWi4vLo6OgvAOAJbW48d7B4eH07bf2FhvT+LZ2eTyctq3felzLqHEUmJTYsihhBJKyX0JXUixxJxDmfbx4CKEbmtrnJ/eGI82TmaX+f7DlNLutWvXrpmwqI7wDgDgSYohDHObSolXoVwIpZSQUjMapphC1+bppLs4C9OLQe6bUFJIIb6jxJRCaUrpS46lC5Npf3LaHp00zTD0OeQQYgoxhRhjCbHkFPpU+tLO5xcXnjwALK9Hj/ce7R/Htc3x7vb85Pzo5PzsfNK3fd+VPpQSUmhCiLGEd7p4JcSuhBxiH5rSdf3ZrG2noYTLs90fePmpW7eeOrn71lv3Huac/4DDu+70IM8mo1vP1/Np59/49b0vfm64c+O5T30mNlXkZsI7AIAnKYYyKCWEEFOMKaUYQinvfCXn0PdhPk9tG7quCbkJIaYYQgwhxJhiKqGUXEoqZRBD03bdwcFsMFqbzUNM+fy877pBzimEXHIoMTY5hRz7rpvNPHkAWEb7+/tHRyeP9o+6wfplGj+6e/z6vdP9k4uLSdd1oZQYQgixlNyHGK9eGUIJoYR89YZRSimpz6lM+sHeZchxc2OcntlKg40wuywPHg0Gw2s72zs7O38w/zpv/8u/f/TlL/zRX3yrkk87/8avf/MzP3b115O7r73/7/6rGvI7txQDADx577xdlxxDjqHEnEPXh7YP8y52OeWSSkwlpKvba0KOIYeSQ86x5FhyKqUpIXV9ubjsjo7bx4+6xw/DxXnKfSo5vZMGlnfe5j1uAFhajx/vvXX/4TQNN557Ya8f/cf/9vZ/ff3h3unl5azt+/476V0JfRf6LpQ+hD6UPpQ+9F3puz6XLsd5GZ13w4cn3WsPzn7zm3u/+TtH040bmy+8cDJr377/4ODwaDWf7VVyt/2RT/yRX/j6nU9++uwrv/r6P/xU6bsn/gfTvAMAeJJKiDmlQbyq0OVQ0iCW1Pdh2obQhpBiH1IYlNS888uv/r/kXHIJOX+ntJev7qjuS55O29z1fZsuz9ZC11yleyFexX59DM2gadbWPHkAWL7XhlIOj076OOgG6/eOp996cPza3f0HF/1527Sl6WMsKYeUQinvFPn7GGII5ap8F0MIpYRcQgmplMFlzvGif/PRaera7fW4tbYTm/HJxXRwcPDcs3dCCKPR6L2/+3zv7uNf/qdH//mX2+O9EMLTf+avPf/X/sHVlyZvff3hL/2Toy9/IYRw/Uf/3Et//WfT2kYI4Y2f+4mjL3/ho//st974uZ84+8qvDndvPfepz1z/kT97VWe7+moI4Tc/+eLV51yV5t77G62/9MHv/zv//N2fhP3ffOB3/bTu9OCqjnf1d7Y/8on3/dRnBztPLT7bd5O7q7bdnb/4t7Y/8olvfubHXv+Hn3ri/TvhHQDAE30LD6FNw1T6EvpScgg5hRzbeX9+kXJMzbApcTRa6+druZuF0oV3fvol53CV9oUSU0gpxaZphoPBYJBSmE/D7DK1k0HfptLHEHIIIaYcU5/SYLS2trXlyQPA0sk5X06nt1565WsPTn7jv/3ONx4cPzw6O+sGbVrrQ8whl1JCubqPI4Ty7vps+s74bAg5lO8U+vtQZn3ZP74Ik9P1MA/nux+6c+369d2z/fuTyST87vBuvnf3v/+Nj4cQ7nzy02u3X+7Pjx9+/rNX4d1V7DXcvfXCj/90d368/6Vf+O2//OpH/9lvvZuRfe1v/6nBtZsv/PhPP/z8Z7/98z/ZbO5c+4E/EUK49af/yvTuNydvfu3ln/z5/+U3Gu7euv1jPxFCePj5z/73v/HxD/zM57de+di7v+a7fuB3/bTXfuYvTd782gs//tPN1m4I4eA//GKeTRYfbHd6sPfFz9355Kdv/4W/+W5Ot/XKxz7wM5/f++Lnjv7zL9/4xJ9/gv/dhXcAAE9UaubDcZhdpBCaGGMIKec8mcxPjmKfh+ubg5Q2t7cnpZ2etbkLKYYUQkqpxJBLyiHk2JRm1AzWR5sba1tb4/VxmIe2n05yG9ppyl28et0PoY+pb5q4vrF1/boHDwBLp5SSQ7h243p37/jx3sHJ2aTtulxizl0JsYRQQgqhhHj1s7M5hBJKCLF8J7yLIYdQytVdeLnkXPo+d/MyOzk6OVjL8dmbN27ePHn09uXlZQjhveMV9/71z4YQ3hvJ3frTf/XqL/a++LkQwgf/8ZeuvnRVWNv70i/c+Yt/6+oXPPepz1zG/+RyAAAOSklEQVSFX0/98U/+9l9+9fA//tJVeLf1ysfGz39g8ubX3huNPf7lfxpC+PBn/9NVd+/qH9n74ufeG9591w9c/LT53t3Jm1+788lPv/tH/b0yuMHOU+/7qc8u/v2tVz723t/3SRHeAQA80bfwmKajrTCfDktpUokhpJL76eX0+CCWMEgxpTLcGM/bcTsd9qWPMaRUUoolllxKiCkMhs1oY7S+s755bW1zczhscnvZ9W28+l8usZQSQo6pawbtcKPZ2FzXvAOAJZRzLqGEWHLpcj8fxH5jlNouTLv+6ushNCEOvjNS8W54F0MJIaSr5YpQ3rlqN5Q2lnbchM1havpZnqTQzQcxhVKumnf/8/edXR59+QvXf/TPLf7A6eKXtl752HD31vnX/su7v2bno3/s6i/S2sb6Sx+c3v3m7/kvOLt8/G//5fZHPtGdHoZwePU3tz/yiaMvf+G94drv8wNHt55ff+mD+1/6hcHW7rUf/JP/rzZt/+AJ7wAAnqhmOFm/Hi6OYiyjVFKMIZR+cnFx8DjGMF4fhljKKOXxKK+P2xRLziXkGEoOIYecmsF4fXO8fW1z59bG5s6gaXI3n80m04vz0s4HIad37tKLXSjt2kbZuTHc2k5N48EDwNKJMZbcH+w/GjXlxWdvDs/79Yt892R2eTyZ9f07v6i807yLoYSSw9VWaYlXw1elhBJiiCHEEnI3bMqt61vvuzZ6ZiPe2W5SaQ/3H4dQhsPhe3/f7vQwhLD1yg8u/pG+65e2Pvzxd6+ZCyG8N/IbP/+B937pu37a2Vd+9epHdH8vv/8PfPknfu7bn/2pt//F33v7X/y9qwvynuwPwP6fEd4BADzZ17HhfOtWPLzbxLAWc1NyU0o/n3b5aDQedtvreTCY911eGw2evhX6nLuc+660bSw5htKMhqPNzfHWtfHOU2ujcZ5N28lsenkxvTjL7TyWUkq++oHZLg26jWvNU3fGO7spJQ8eAJZO0zTDQfP4wd3NtWs//AMfunfSvXUwK99+tHd6b9L2MTalzyF34eoijpBj6eNVeBdSiE2JTZ9DH2JoQkghln48bF567vYPvO+Z57abW+NSzvcfP7i3MVq7/rtv2BjeuB1C6M6PF/9I3/VL51/9tf+zf8GrT7vzyU+/+yO3/5fWX3z1g//o38337p78xr/f/5V/8+2f/8n1F19df/HV5frv7r0NAOCJvo0NR/nGncloY5ZG8xJyCSGUmNvYTbuL08ujvbPDvdOjwzwe7776ods/9MO3f+Tjz37sh579wx997tUPP//hjz776odvve/7t2/fHu1s9alMJ+cXxweXZ8fTi7P5fNbn3IXQhasfmB3lnad3Xnx1++bTHjsALOVrQ0o3dnfzdBomZzvDcut/tHcvMZJeVx3Az7n3fl9VffXo6nr0e3q6p9sez/ghY/FKYogIipQgJJIsIiGxwBJZhkWksAGEUHYsEGTDJshSNkgRSLDKCrEAJIQNsUQSJgHb4/E8unume6qr6/V93z3nsKjRMHLsMHgz1aP/TyV163TVvV2nanF1dO69jerqcrNVrXg1FmU1J+pEQoypxIqWNS0yzTPNa5pXJE9jHqTwUrKUFAuWMrB2mrXN/tJy5iuWy/SMtegsL2VZlmXZw3nZh+aLr975zp9qPvnAv8Q+zLemmsR5RPNJObi78vnXHucdzVv24vD4/5zoY4z2UNrf6n/ut/d+7y+J6Pjv/+r8fe746gMAAAA8QT4E39uc1DpTX8/VRSM1JS055jIdTQfHk8Hx+HSgZo1ev72909nd7+zudy/udrd3ehd2uhtbrU6vmtXJpJiOpsOTyf17+WhYzqZRYjQriQrni1DJKw3f3Vjdu9Lu9ZF2AACAc2r7woXLuztVk7OD2/nxkSsmLhYUI0V10YJQqlRVq5M2Kba5bHPRdkWL8ppMK3Fa0SLV0pU5FTMqZhzzYIWLk9G9W8Oj97OEn9nb3dzYcM59oE+/+ytfJqK3/+R3Rj96s7h7c3rj2s3X/2j+p96v/mY5uHvr29+Y3rg2vXHtR3/wRSJa+fWvPM7bSVe3iejgb745vXGtuHvzJycq7t48+ae/vfPXf/YxRivu3nz3z7/6cJz5VRjNlz997j50bJsFAAAAeJLYuWxz+/T2s9PDd2rFKGgMKuyIWCVO8rFGTowCnQzozgEJUdYgxxRSIqIyUp7TdCzD4WQwmA1OZqf349mpFdP5oXjCHMnPXBhVmrPmSrZ2cf3Sfr3ZQtoBAADOqX6v1+/1Bqdnd05GGtX74CWSCImyqSMOpp1GstqtLVWpQjGQEFNUmkYeTuVwkA+mhZAzU6KChb2WLDOdjZNE+932/t7eh87befULvt668Rdf//EffmkeSdr9rdf+mIh6n/0t32jf+vY3jr77+jy+87vffMzbIVov/fLK5187+u7r89e+8p0bnVe/kPa33v/W7z+ciIjWv/y1jzHaS9/63v1//rtHT8Rb/tRvzC+6PWfLRTPDVx8AAADgCfrhv73x/vf/ffLDN1rvvtUoTxs69azsjNgZe6VEKW2sbnZ399L+CrXaVq2Sc6RCsymPRzQalvdPzu4dTgcncTbWMndmphqNSuKckklSG3e2ZfOZzU9+7mc/81kkHAAA4Lx7483vHRwP7xdhFDr/8uODf/iP6ycziVwNZBWSq3srv/TzuxdWGjWnnsyMolIudP1g8I//+t//+d693IVIlFCx3qr82i9c/sX9vhvcbqd0YX31heev/pR5TWJ5cjD//QPlOc0ncXjiKrVHb5OIw2PNp48+8ycjHxWfN+IRUdJZYx/+XwM+GvzQcc4XdN4BAAAAPGG9zS0fwtuj08ngkEfOTSylImF1ZGTqSJgkDgf3r79DR3djtaZJosyk4mLpyiLEnGaTOB7qdMKxYBEhE6OSQ+6ScaiOa23eurr2M5/sX9hBtgEAAJ4KRqpsxmpsxqasShwdaaDYb4YXLvW3+1k8G1hRmjGnlbTZrGeVH/zgXR9z582xYxJSIRESIVNHjpl/+qzsw0e11LlKlvazDwQfLeR9VOSj4h860WMO+GjwMXsAFxmKdwAAAABPWH91rdtfObl98+jo1uSIuMxr4oiLoMKmntSRxvFZPh5HlxQ+EeeEiEydaSBNWb3FIKWXkkzZOPKDyt00qY2qy7OltdVLzz/7c5+oNRrINgAAwFOBiZiIzJTmDxXm0rMkVKZUVEnHB4ent953Gs1IfdLZvpiaT7T0MnNExIFISIRFnZKbb8vE5syFhOIdAAAAwJNefTM759b3LzPz3e+/OSAuRvd0NkgpT6w0Ik8lkThyQc2ziTolM1Nn0ZF61kDqVdhUzKJx5JC7yjhpTuod2bra2X9x9fLVWqMRkgTZBgAAeFrWD0RmZmImqpE0EpNz0VOeWEzMytFZja2zvCQi94bjcjQJoe4tei2ZAzOTCYnSg949ZmJkdTGheAcAAACwCOtv3tq9tLq59RbRrclwfJiQWlaMTKdG0Ui8KRMHMyYycmZqJkSRSB3Pu/PYmNW4NDdz6SQ0J1m36F7oPPfKlU99urW8XK3VkGcAAICnxbxHTslEpZSykFgSK3nxLnoVFmO1ShpajSxGOZvMWJWEWNWZODMmYzOaPxQ9dwsNxTsAAACAheCcS9J045nnQpKcvH0tf+9avHcznh3V4jjEWWLRkTk1KgtHzjEzq5EqqZAKkXNOKJk5nqS1cWOl7GyGC5c7O5f7u/vNdjtJU2QYAADg6WJERiamUWNpsSRHROpIWJXUSC0NoVatxhiT4MSU1FiVTViE2ZGZqZmSGRna7hYYincAAAAAC8E555y7uLd/cW//3fWtm+3O6bW3prfZpveTfChaBCm9Got4MnaOnZkjM4rEys58Jfrq2JJJtSUrF7O9Fzdf/sTOCy8laRoClnwAAABPGyMhYmZhEjZhlXmDvpGYGs2b6sho/vPBIXlmJhpFOCo5pmiiRGTs0Hu3yLCSAwAAAFg4S/0Vef7l6nJvdHi1uHcwO77jzo7DZJDOxpUiD1JGicYq3qLjMqmU1YbU2troWWut0l3LVtaXNrY6G1shSZxzyCcAAMDTyIiUOToSb+I0KhsxGQupPtgPy0T0v4fZMRmpmpREJRERKYuQGTET24MKHyweFO8AAAAAFk6n3+/0+/HylViWB+9dP/qva6Ob75SH75Wnx348pHwSi6lSFM8xrcR6S1p917vQ2Nzr7z+/sr1TazQq1SrSCAAA8LRiJiJjE5boNU90mmgh5hOjwOqt9GTG5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class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">full<span class="_ _0"> </span>circle<span class="_ _0"> </span>magazine<span class="_ _0"> </span>#65</div><div class="t m0 x2 h3 y1 ff2 fs0 fc1 sc0 ls0 ws0">13</div><div class="t m4 x4d h11 y1da ff2 fsa fc1 sc0 ls0 ws0">H</div><div class="t m4 x5a h11 y1db ff2 fsa fc3 sc0 ls0 ws0">H</div><div class="t m4 x68 h11 y1da ff2 fsa fc1 sc0 ls0 ws0">O</div><div class="t m4 x68 h11 y1db ff2 fsa fc3 sc0 ls0 ws0">O</div><div class="t m4 x69 h11 y1da ff2 fsa fc1 sc0 ls0 ws0">W</div><div class="t m4 x4f h11 y1db ff2 fsa fc3 sc0 ls0 ws0">W</div><div class="t m4 x40 h11 y1da ff2 fsa fc1 sc0 ls0 ws0">-</div><div class="t m4 x6a h11 y1db ff2 fsa fc3 sc0 ls0 ws0">-</div><div class="t m4 x6b h11 y1da ff2 fsa fc1 sc0 ls0 ws0">T</div><div class="t m4 x91 h11 y1db ff2 fsa fc3 sc0 ls0 ws0">T</div><div class="t m4 x6c h11 y1da ff2 fsa fc1 sc0 ls0 ws0">O</div><div class="t m4 x41 h11 y1db ff2 fsa fc3 sc0 ls0 ws0">O</div><div class="t m0 x90 hb y1dc ff2 fs7 fc4 sc0 ls0 ws0">Writt<span class="_ _b"></span>en<span class="_ _0"> </span>b<span class="_ _b"></span>y<span class="_ _6"> </span>Padd<span class="_ _b"></span>y<span class="_ _0"> </span>Landau</div><div class="t m4 x22 h11 ybd ff2 fsa fc1 sc0 ls0 ws0">A</div><div class="t m4 x23 h11 ybe ff2 fsa fc3 sc0 ls0 ws0">A</div><div class="t m4 x9d h11 ybd ff2 fsa fc1 sc0 ls0 ws0">d</div><div class="t m4 x78 h11 ybe ff2 fsa fc3 sc0 ls0 ws0">d</div><div class="t m4 x83 h11 ybd ff2 fsa fc1 sc0 ls0 ws0">d</div><div class="t m4 x83 h11 ybe ff2 fsa fc3 sc0 ls0 ws0">d</div><div class="t m4 x93 h11 ybd ff2 fsa fc1 sc0 ls0 ws0">E</div><div class="t m4 x93 h11 ybe ff2 fsa fc3 sc0 ls0 ws0">E</div><div class="t m4 x9e h11 ybd ff2 fsa fc1 sc0 ls0 ws0">n</div><div class="t m4 x9e h11 ybe ff2 fsa fc3 sc0 ls0 ws0">n</div><div class="t m4 x95 h11 ybd ff2 fsa fc1 sc0 ls0 ws0">c</div><div class="t m4 x9f h11 ybe ff2 fsa fc3 sc0 ls0 ws0">c</div><div class="t m4 x96 h11 ybd ff2 fsa fc1 sc0 ls0 ws0">r</div><div class="t m4 x96 h11 ybe ff2 fsa fc3 sc0 ls0 ws0">r</div><div class="t m4 x63 h11 ybd ff2 fsa fc1 sc0 ls0 ws0">y</div><div class="t m4 x7d h11 ybe ff2 fsa fc3 sc0 ls0 ws0">y</div><div class="t m4 x7e h11 ybd ff2 fsa fc1 sc0 ls0 ws0">p</div><div class="t m4 xa0 h11 ybe ff2 fsa fc3 sc0 ls0 ws0">p</div><div class="t m4 xa1 h11 ybd ff2 fsa fc1 sc0 ls0 ws0">t</div><div class="t m4 x7f h11 ybe ff2 fsa fc3 sc0 ls0 ws0">t</div><div class="t m4 xa2 h11 ybd ff2 fsa fc1 sc0 ls0 ws0">i</div><div class="t m4 x80 h11 ybe ff2 fsa fc3 sc0 ls0 ws0">i</div><div class="t m4 xa3 h11 ybd ff2 fsa fc1 sc0 ls0 ws0">o</div><div class="t m4 xa3 h11 ybe ff2 fsa fc3 sc0 ls0 ws0">o</div><div class="t m4 xa4 h11 ybd ff2 fsa fc1 sc0 ls0 ws0">n</div><div class="t m4 xa4 h11 ybe ff2 fsa fc3 sc0 ls0 ws0">n</div><div class="t m0 x2a h12 y4c ff1 fsb fc1 sc0 ls0 ws0">W</div><div class="t m0 x9c h2 y7 ff1 fs0 fc1 sc0 ls0 ws0">hen<span class="_ _0"> </span>you<span class="_ _0"> </span>installed</div><div class="t m0 x9c h2 y4d ff1 fs0 fc1 sc0 ls0 ws0">Ubuntu,<span class="_ _0"> </span>perhaps<span class="_ _0"> </span>you</div><div class="t m0 x9c h2 y4e ff1 fs0 fc1 sc0 ls0 ws0">didn<span class="_ _b"></span>’t<span class="_ _0"> </span>opt<span class="_ _0"> </span>for</div><div class="t m0 x9c h2 y4c ff1 fs0 fc1 sc0 ls0 ws0">encr<span class="_ _8"></span>yption;<span class="_ _0"> </span>or<span class="_ _a"></span>,<span class="_ _0"> </span>you</div><div class="t m0 x2a h2 y4f ff1 fs0 fc1 sc0 ls0 ws0">added<span class="_ _0"> </span>a<span class="_ _0"> </span>user<span class="_ _0"> </span>without<span class="_ _0"> </span>encr<span class="_ _8"></span>yption<span class="_ _0"> </span>–</div><div class="t m0 x2a h2 y50 ff1 fs0 fc1 sc0 ls0 ws0">but<span class="_ _0"> </span>now<span class="_ _b"></span>,<span class="_ _0"> </span>y<span class="_ _b"></span>ou<span class="_ _0"> </span>have<span class="_ _0"> </span>changed<span class="_ _0"> </span>your</div><div class="t m0 x2a h2 y51 ff1 fs0 fc1 sc0 ls0 ws0">mind<span class="_ _0"> </span>and<span class="_ _0"> </span>want<span class="_ _0"> </span>encr<span class="_ _8"></span>yption.<span class="_ _0"> </span>In<span class="_ _0"> </span>other</div><div class="t m0 x2a h2 y1dd ff1 fs0 fc1 sc0 ls0 ws0">words,<span class="_ _0"> </span>y<span class="_ _b"></span>ou<span class="_ _0"> </span>(or<span class="_ _0"> </span>another<span class="_ _0"> </span>user<span class="_ _0"> </span>on<span class="_ _0"> </span>the</div><div class="t m0 x2a h2 y52 ff1 fs0 fc1 sc0 ls0 ws0">computer)<span class="_ _0"> </span>wants,<span class="_ _0"> </span>but<span class="_ _0"> </span>does<span class="_ _0"> </span>not</div><div class="t m0 x2a h2 y53 ff1 fs0 fc1 sc0 ls0 ws0">have,<span class="_ _0"> </span>encryption.</div><div class="t m0 x2d h2 y55 ff1 fs0 fc1 sc0 ls0 ws0">How<span class="_ _0"> </span>do<span class="_ _0"> </span>y<span class="_ _b"></span>ou<span class="_ _0"> </span>add<span class="_ _0"> </span>encr<span class="_ _8"></span>yption</div><div class="t m0 x2a h2 y56 ff1 fs0 fc1 sc0 ls0 ws0">after<span class="_ _0"> </span>the<span class="_ _0"> </span>ev<span class="_ _b"></span>ent?</div><div class="t m0 x2d h2 y58 ff1 fs0 fc1 sc0 ls0 ws0">Fortunat<span class="_ _b"></span>ely,<span class="_ _0"> </span>this<span class="_ _0"> </span>is<span class="_ _0"> </span>quit<span class="_ _b"></span>e<span class="_ _0"> </span>easy.</div><div class="t m0 x2a h2 y59 ff1 fs0 fc1 sc0 ls0 ws0">There<span class="_ _0"> </span>are<span class="_ _0"> </span>three<span class="_ _0"> </span>main<span class="_ _0"> </span>steps:</div><div class="t m0 x2a h2 y5a ff1 fs0 fc1 sc0 ls0 ws0">•<span class="_ _0"> </span>Mak<span class="_ _b"></span>e<span class="_ _0"> </span>an<span class="_ _0"> </span>encr<span class="_ _8"></span>ypt<span class="_ _b"></span>ed<span class="_ _0"> </span>copy<span class="_ _0"> </span>of<span class="_ _0"> </span>y<span class="_ _b"></span>our</div><div class="t m0 x2a h2 y5b ff1 fs0 fc1 sc0 ls0 ws0">folder<span class="_ _b"></span>.</div><div class="t m0 x2a h2 y5c ff1 fs0 fc1 sc0 ls0 ws0">•<span class="_ _0"> </span>Remov<span class="_ _b"></span>e<span class="_ _0"> </span>the<span class="_ _0"> </span>original<span class="_ _0"> </span>unencr<span class="_ _8"></span>ypted</div><div class="t m0 x2a h2 y5d ff1 fs0 fc1 sc0 ls0 ws0">folder<span class="_ _b"></span>.</div><div class="t m0 x2a h2 y5e ff1 fs0 fc1 sc0 ls0 ws0">•<span class="_ _0"> </span>Encr<span class="_ _8"></span>ypt<span class="_ _0"> </span>y<span class="_ _b"></span>our<span class="_ _0"> </span>swap<span class="_ _0"> </span>area.<span class="_ _0"> </span>(Y<span class="_ _b"></span>ou</div><div class="t m0 x2a h2 y5f ff1 fs0 fc1 sc0 ls0 ws0">need<span class="_ _0"> </span>this<span class="_ _0"> </span>last<span class="_ _0"> </span>step<span class="_ _0"> </span>only<span class="_ _0"> </span>the<span class="_ _0"> </span>very</div><div class="t m0 x2a h2 y60 ff1 fs0 fc1 sc0 ls0 ws0">first<span class="_ _0"> </span>time<span class="_ _0"> </span>you<span class="_ _0"> </span>encrypt<span class="_ _8"></span>,<span class="_ _0"> </span>whether<span class="_ _0"> </span>it</div><div class="t m0 x2a h2 y61 ff1 fs0 fc1 sc0 ls0 ws0">was<span class="_ _0"> </span>during<span class="_ _0"> </span>installation<span class="_ _0"> </span>or</div><div class="t m0 x2a h2 y62 ff1 fs0 fc1 sc0 ls0 ws0">following<span class="_ _0"> </span>this<span class="_ _0"> </span>ho<span class="_ _b"></span>w-to.)</div><div class="t m0 x2d h2 y64 ff1 fs0 fc1 sc0 ls0 ws0">I<span class="_ _0"> </span>have<span class="_ _0"> </span>t<span class="_ _b"></span>ested<span class="_ _0"> </span>this<span class="_ _0"> </span>on<span class="_ _0"> </span>Ubuntu</div><div class="t m0 x2a h2 y65 ff1 fs0 fc1 sc0 ls0 ws0">Precise<span class="_ _0"> </span>12.04<span class="_ _0"> </span>(fully<span class="_ _0"> </span>updated).</div><div class="t m0 x2a h8 y156 ff2 fs5 fc5 sc0 ls0 ws0">Prepar<span class="_ _b"></span>e</div><div class="t m0 x49 h2 y6a ff1 fs0 fc1 sc0 ls0 ws0">Due<span class="_ _0"> </span>to<span class="_ _0"> </span>an<span class="_ _0"> </span>existing<span class="_ _0"> </span>bug,<span class="_ _0"> </span>you<span class="_ _0"> </span>will</div><div class="t m0 xa h2 yf ff1 fs0 fc1 sc0 ls0 ws0">not<span class="_ _0"> </span>be<span class="_ _0"> </span>able<span class="_ _0"> </span>to<span class="_ _0"> </span>log<span class="_ _0"> </span>in<span class="_ _0"> </span>if<span class="_ _0"> </span>y<span class="_ _b"></span>our</div><div class="t m0 xa h2 y6c ff1 fs0 fc1 sc0 ls0 ws0">wallpaper<span class="_ _0"> </span>is<span class="_ _0"> </span>in<span class="_ _0"> </span>the<span class="_ _0"> </span>home<span class="_ _0"> </span>folder<span class="_ _0"> </span>of</div><div class="t m0 xa h2 y6d ff1 fs0 fc1 sc0 ls0 ws0">the<span class="_ _0"> </span>user<span class="_ _0"> </span>to<span class="_ _0"> </span>be<span class="_ _0"> </span>encrypted.<span class="_ _0"> </span>If<span class="_ _0"> </span>the</div><div class="t m0 xa h2 y6e ff1 fs0 fc1 sc0 ls0 ws0">user<span class="_ _0"> </span>has<span class="_ _0"> </span>customiz<span class="_ _b"></span>ed<span class="_ _0"> </span>the<span class="_ _0"> </span>wallpaper<span class="_ _b"></span>,</div><div class="t m0 xa h2 y6f ff1 fs0 fc1 sc0 ls0 ws0">please<span class="_ _0"> </span>ensure<span class="_ _0"> </span>that<span class="_ _0"> </span>it<span class="_ _0"> </span>is<span class="_ _0"> </span>not<span class="_ _0"> </span>stored</div><div class="t m0 xa h2 y70 ff1 fs0 fc1 sc0 ls0 ws0">within<span class="_ _0"> </span>their<span class="_ _0"> </span>home<span class="_ _0"> </span>folder<span class="_ _b"></span>.</div><div class="t m0 x49 h2 y72 ff1 fs0 fc1 sc0 ls0 ws0">This<span class="_ _0"> </span>procedure<span class="_ _0"> </span>is<span class="_ _0"> </span>safe<span class="_ _0"> </span>as<span class="_ _0"> </span>it</div><div class="t m0 xa h2 y73 ff1 fs0 fc1 sc0 ls0 ws0">creates<span class="_ _0"> </span>an<span class="_ _0"> </span>encrypted<span class="_ _0"> </span>copy<span class="_ _0"> </span>of<span class="_ _0"> </span>y<span class="_ _b"></span>our</div><div class="t m0 xa h2 y74 ff1 fs0 fc1 sc0 ls0 ws0">home<span class="_ _0"> </span>folder<span class="_ _b"></span>.<span class="_ _0"> </span>That<span class="_ _0"> </span>does<span class="_ _0"> </span>mean,</div><div class="t m0 xa h2 y75 ff1 fs0 fc1 sc0 ls0 ws0">howe<span class="_ _b"></span>ver<span class="_ _b"></span>,<span class="_ _0"> </span>t<span class="_ _b"></span>hat<span class="_ _0"> </span>you<span class="_ _0"> </span>will<span class="_ _0"> </span>hav<span class="_ _b"></span>e</div><div class="t m0 xa h2 y86 ff1 fs0 fc1 sc0 ls0 ws0">sufficient<span class="_ _0"> </span>space<span class="_ _0"> </span>on<span class="_ _0"> </span>your<span class="_ _0"> </span>disk.<span class="_ _0"> </span>If<span class="_ _0"> </span>you</div><div class="t m0 xa h2 y76 ff1 fs0 fc1 sc0 ls0 ws0">don<span class="_ _b"></span>’t<span class="_ _0"> </span>have<span class="_ _0"> </span>enough<span class="_ _0"> </span>space,<span class="_ _0"> </span>please</div><div class="t m0 xa h2 y3d ff1 fs0 fc1 sc0 ls0 ws0">back<span class="_ _0"> </span>up<span class="_ _0"> </span>your<span class="_ _0"> </span>data,<span class="_ _0"> </span>delete<span class="_ _0"> </span>large</div><div class="t m0 xa h2 y77 ff1 fs0 fc1 sc0 ls0 ws0">files<span class="_ _0"> </span>(e.g.<span class="_ _0"> </span>movies<span class="_ _b"></span>),<span class="_ _0"> </span>and<span class="_ _0"> </span>restore</div><div class="t m0 xa h2 y78 ff1 fs0 fc1 sc0 ls0 ws0">them<span class="_ _0"> </span>after<span class="_ _0"> </span>encryption.<span class="_ _0"> </span>(I<span class="_ _0"> </span>normally</div><div class="t m0 xa h2 y79 ff1 fs0 fc1 sc0 ls0 ws0">recommend<span class="_ _0"> </span>that<span class="_ _0"> </span>you<span class="_ _0"> </span>back<span class="_ _0"> </span>up<span class="_ _0"> </span>all</div><div class="t m0 xa h2 y1d ff1 fs0 fc1 sc0 ls0 ws0">your<span class="_ _0"> </span>data<span class="_ _0"> </span>an<span class="_ _b"></span>yway<span class="_ _0"> </span>in<span class="_ _0"> </span>case<span class="_ _0"> </span>of</div><div class="t m0 xa h2 y7a ff1 fs0 fc1 sc0 ls0 ws0">accidental<span class="_ _0"> </span>problems.)</div><div class="t m0 x49 h2 y7c ff1 fs0 fc1 sc0 ls0 ws0">Using<span class="_ _0"> </span>your<span class="_ _0"> </span>fav<span class="_ _b"></span>orite<span class="_ _0"> </span>package</div><div class="t m0 xa h2 y7d ff1 fs0 fc1 sc0 ls0 ws0">manager<span class="_ _b"></span>,<span class="_ _0"> </span>i<span class="_ _b"></span>nstall<span class="_ _0"> </span>ecr<span class="_ _8"></span>yptfs-utils.</div><div class="t m0 xa h8 y49 ff2 fs5 fc5 sc0 ls0 ws0">Encr<span class="_ _8"></span>ypt</div><div class="t m0 x49 h2 yab ff1 fs0 fc1 sc0 ls0 ws0">In<span class="_ _0"> </span>this<span class="_ _0"> </span>how-t<span class="_ _b"></span>o,<span class="_ _0"> </span>I’ve<span class="_ _0"> </span>used<span class="_ _0"> </span>my</div><div class="t m0 xa h2 yac ff1 fs0 fc1 sc0 ls0 ws0">name<span class="_ _0"> </span>paddy<span class="_ _0"> </span>as<span class="_ _0"> </span>the<span class="_ _0"> </span>user<span class="_ _b"></span>.<span class="_ _0"> </span>Please</div><div class="t m0 xa h2 y8c ff1 fs0 fc1 sc0 ls0 ws0">replace<span class="_ _0"> </span>it<span class="_ _0"> </span>with<span class="_ _0"> </span>the<span class="_ _0"> </span>user<span class="_ _0"> </span>to<span class="_ _0"> </span>be</div><div class="t m0 xa h2 yae ff1 fs0 fc1 sc0 ls0 ws0">encr<span class="_ _8"></span>ypt<span class="_ _b"></span>ed.</div><div class="t m0 x49 h2 yb0 ff1 fs0 fc1 sc0 ls0 ws0">Boot<span class="_ _0"> </span>into<span class="_ _0"> </span>Rec<span class="_ _b"></span>overy<span class="_ _0"> </span>Mode<span class="_ _0"> </span>(when</div><div class="t m0 x4a h2 y6a ff1 fs0 fc1 sc0 ls0 ws0">you<span class="_ _0"> </span>boot,<span class="_ _0"> </span>press<span class="_ _0"> </span>and<span class="_ _0"> </span>hold<span class="_ _0"> </span>Shift<span class="_ _0"> </span>until</div><div class="t m0 x4a h2 yf ff1 fs0 fc1 sc0 ls0 ws0">you<span class="_ _0"> </span>get<span class="_ _0"> </span>the<span class="_ _0"> </span>Grub<span class="_ _0"> </span>menu.<span class="_ _0"> </span>The</div><div class="t m0 x4a h2 y6c ff1 fs0 fc1 sc0 ls0 ws0">“reco<span class="_ _b"></span>very<span class="_ _0"> </span>mode”<span class="_ _0"> </span>is<span class="_ _0"> </span>usually<span class="_ _0"> </span>the</div><div class="t m0 x4a h2 y6d ff1 fs0 fc1 sc0 ls0 ws0">second<span class="_ _0"> </span>item<span class="_ _0"> </span>from<span class="_ _0"> </span>the<span class="_ _0"> </span>t<span class="_ _b"></span>op<span class="_ _b"></span>).</div><div class="t m0 x4b h2 y6f ff1 fs0 fc1 sc0 ls0 ws0">At<span class="_ _0"> </span>the<span class="_ _0"> </span>Reco<span class="_ _b"></span>very<span class="_ _0"> </span>Mode<span class="_ _0"> </span>menu,</div><div class="t m0 x4a h2 y70 ff1 fs0 fc1 sc0 ls0 ws0">select<span class="_ _0"> </span>Drop<span class="_ _0"> </span>to<span class="_ _0"> </span>root<span class="_ _0"> </span>shell<span class="_ _0"> </span>prompt.</div><div class="t m0 x4b h2 y72 ff1 fs0 fc1 sc0 ls0 ws0">Enter<span class="_ _0"> </span>the<span class="_ _0"> </span>following<span class="_ _0"> </span>c<span class="_ _b"></span>ommands</div><div class="t m0 x4a h2 y73 ff1 fs0 fc1 sc0 ls0 ws0">to<span class="_ _0"> </span>fix<span class="_ _0"> </span>existing<span class="_ _0"> </span>bugs.</div><div class="t m0 x4a h14 yd7 ff3 fsc fc7 sc0 ls0 ws0">mount<span class="_ _20"> </span>--options<span class="_ _20"> </span>remount,rw<span class="_ _20"> </span>/</div><div class="t m0 x4a h14 y13 ff3 fsc fc7 sc0 ls0 ws0">mount<span class="_ _20"> </span>--all</div><div class="t m0 x4b h2 y1de ff1 fs0 fc1 sc0 ls0 ws0">The<span class="_ _0"> </span>following<span class="_ _0"> </span>command</div><div class="t m0 x4a h2 y3f ff1 fs0 fc1 sc0 ls0 ws0">prompts<span class="_ _0"> </span>for<span class="_ _0"> </span>your<span class="_ _0"> </span>password<span class="_ _0"> </span>and</div><div class="t m0 x4a h2 y1df ff1 fs0 fc1 sc0 ls0 ws0">mak<span class="_ _b"></span>es<span class="_ _0"> </span>an<span class="_ _0"> </span>encr<span class="_ _8"></span>ypt<span class="_ _b"></span>ed<span class="_ _0"> </span>copy<span class="_ _0"> </span>of<span class="_ _0"> </span>y<span class="_ _b"></span>our</div><div class="t m0 x4a h2 y1e0 ff1 fs0 fc1 sc0 ls0 ws0">folder<span class="_ _b"></span>.</div><div class="t m0 x4a h14 y1e1 ff3 fsc fc7 sc0 ls0 ws0">ecryptfs-migrate-home<span class="_ _20"> </span>--user</div><div class="t m0 x4a h14 y1a2 ff3 fsc fc7 sc0 ls0 ws0">paddy</div><div class="t m0 x4b h2 y20 ff1 fs0 fc1 sc0 ls0 ws0">When<span class="_ _0"> </span>it<span class="_ _0"> </span>has<span class="_ _0"> </span>finished<span class="_ _0"> </span>running,</div><div class="t m0 x4a h2 y1a4 ff1 fs0 fc1 sc0 ls0 ws0">you<span class="_ _0"> </span>will<span class="_ _0"> </span>see<span class="_ _0"> </span>some<span class="_ _0"> </span>warnings.<span class="_ _0"> </span>Ignore</div><div class="t m0 x4a h2 y16 ff1 fs0 fc1 sc0 ls0 ws0">the<span class="_ _0"> </span>warnings;<span class="_ _0"> </span>but<span class="_ _0"> </span>you<span class="_ _0"> </span>do<span class="_ _0"> </span>need<span class="_ _0"> </span>to</div><div class="t m0 x4a h2 y4a ff1 fs0 fc1 sc0 ls0 ws0">tak<span class="_ _b"></span>e<span class="_ _0"> </span>a<span class="_ _0"> </span>note<span class="_ _0"> </span>of<span class="_ _0"> </span>the<span class="_ _0"> </span>temporary</div><div class="t m0 x4a h2 y1a5 ff1 fs0 fc1 sc0 ls0 ws0">folder<span class="_ _0"> </span>that<span class="_ _0"> </span>it<span class="_ _0"> </span>has<span class="_ _0"> </span>created.<span class="_ _0"> </span>It<span class="_ _0"> </span>looks</div><div class="t m0 x4a h2 y1a6 ff1 fs0 fc1 sc0 ls0 ws0">something<span class="_ _0"> </span>lik<span class="_ _b"></span>e</div><div class="t m0 x4a h2 y1a7 ff1 fs0 fc1 sc0 ls0 ws0">/home/paddy.<span class="_ _b"></span>ChPzzx<span class="_ _b"></span>qD<span class="_ _b"></span>,<span class="_ _0"> </span>but<span class="_ _0"> </span>the</div><div class="t m0 x4a h2 y8d ff1 fs0 fc1 sc0 ls0 ws0">last<span class="_ _0"> </span>eight<span class="_ _0"> </span>characters<span class="_ _0"> </span>will<span class="_ _0"> </span>be</div><div class="t m0 x4a h2 y1a8 ff1 fs0 fc1 sc0 ls0 ws0">random.<span class="_ _0"> </span>Y<span class="_ _b"></span>ou’ll<span class="_ _0"> </span>need<span class="_ _0"> </span>it<span class="_ _0"> </span>when<span class="_ _0"> </span>you</div><div class="t m0 x4a h2 y1a9 ff1 fs0 fc1 sc0 ls0 ws0">Finalize<span class="_ _0"> </span>or<span class="_ _0"> </span>Re<span class="_ _b"></span>vert<span class="_ _0"> </span>belo<span class="_ _b"></span>w<span class="_ _b"></span>.</div><div class="t m0 x26 h2 y93 ff1 fs0 fc1 sc0 ls0 ws0">Enter<span class="_ _0"> </span>the<span class="_ _0"> </span>following<span class="_ _0"> </span>c<span class="_ _b"></span>ommand</div><div class="t m0 x4c h2 y94 ff1 fs0 fc1 sc0 ls0 ws0">to<span class="_ _0"> </span>reboot<span class="_ _0"> </span>(it<span class="_ _0"> </span>may<span class="_ _0"> </span>tak<span class="_ _b"></span>e<span class="_ _0"> </span>sev<span class="_ _b"></span>eral</div><div class="t m0 x4c h2 y95 ff1 fs0 fc1 sc0 ls0 ws0">seconds<span class="_ _0"> </span>t<span class="_ _b"></span>o<span class="_ _0"> </span>get<span class="_ _0"> </span>going,<span class="_ _0"> </span>so<span class="_ _0"> </span>be</div><div class="t m0 x4c h2 y96 ff1 fs0 fc1 sc0 ls0 ws0">patient).</div><div class="t m0 x26 h2 y97 ff1 fs0 fc1 sc0 ls0 ws0">reboot<span class="_ _0"> </span>now</div><div class="t m0 x4c h8 y1e2 ff2 fs5 fc5 sc0 ls0 ws0">Finalize</div><div class="t m0 x26 h2 y1e3 ff1 fs0 fc1 sc0 ls0 ws0">Now<span class="_ _b"></span>,<span class="_ _0"> </span>log<span class="_ _0"> </span>in<span class="_ _0"> </span>normally<span class="_ _b"></span>.<span class="_ _0"> </span>Does</div><div class="t m0 x4c h2 y1e4 ff1 fs0 fc1 sc0 ls0 ws0">ev<span class="_ _b"></span>er<span class="_ _8"></span>ything<span class="_ _0"> </span>w<span class="_ _b"></span>ork?</div><div class="t m0 x26 h2 y1e5 ff1 fs0 fc1 sc0 ls0 ws0">If<span class="_ _0"> </span>it<span class="_ _0"> </span>did<span class="_ _0"> </span>not<span class="_ _0"> </span>work,<span class="_ _0"> </span>skip<span class="_ _0"> </span>t<span class="_ _b"></span>o<span class="_ _0"> </span>Revert</div><div class="t m0 x4c h2 y1e6 ff1 fs0 fc1 sc0 ls0 ws0">below<span class="_ _b"></span>.</div><div class="t m0 x26 h2 y1e7 ff1 fs0 fc1 sc0 ls0 ws0">If<span class="_ _0"> </span>it<span class="_ _0"> </span>did<span class="_ _0"> </span>work,<span class="_ _0"> </span>finish<span class="_ _0"> </span>up<span class="_ _0"> </span>as</div><div class="t m0 x4c h2 y1e8 ff1 fs0 fc1 sc0 ls0 ws0">follows:</div><div class="t m0 x26 h2 y1e9 ff1 fs0 fc1 sc0 ls0 ws0">Open<span class="_ _0"> </span>a<span class="_ _0"> </span>terminal<span class="_ _0"> </span>and<span class="_ _0"> </span>enter<span class="_ _0"> </span>this</div><div class="t m0 x4c h2 y1ea ff1 fs0 fc1 sc0 ls0 ws0">command.<span class="_ _0"> </span>Use<span class="_ _0"> </span>the<span class="_ _0"> </span>random-</div><div class="t m0 x4c h2 y1eb ff1 fs0 fc1 sc0 ls0 ws0">character<span class="_ _0"> </span>folder<span class="_ _0"> </span>that<span class="_ _0"> </span>you<span class="_ _0"> </span>not<span class="_ _b"></span>ed<span class="_ _0"> </span>in</div><div class="t m0 x4c h2 y1ec ff1 fs0 fc1 sc0 ls0 ws0">step<span class="_ _0"> </span>5<span class="_ _0"> </span>in<span class="_ _0"> </span>Encrypt<span class="_ _8"></span>.</div><div class="t m0 x4c h14 y1ed ff3 fsc fc7 sc0 ls0 ws0">sudo<span class="_ _20"> </span>rm<span class="_ _20"> </span>-R</div><div class="t m0 x4c h14 yb8 ff3 fsc fc7 sc0 ls0 ws0">/home/paddy.ChPzzxqD</div><div class="t m0 x26 h2 yaa ff1 fs0 fc1 sc0 ls0 ws0">Restore<span class="_ _0"> </span>an<span class="_ _b"></span>y<span class="_ _0"> </span>data<span class="_ _0"> </span>that<span class="_ _0"> </span>you<span class="_ _0"> </span>had</div><div class="t m0 x4c h2 yab ff1 fs0 fc1 sc0 ls0 ws0">deleted<span class="_ _0"> </span>(if<span class="_ _0"> </span>an<span class="_ _b"></span>y)<span class="_ _0"> </span>in<span class="_ _0"> </span>Prepare<span class="_ _0"> </span>above.</div><div class="t m0 x26 h2 yad ff1 fs0 fc1 sc0 ls0 ws0">Open<span class="_ _0"> </span>a<span class="_ _0"> </span>terminal<span class="_ _0"> </span>and<span class="_ _0"> </span>enter<span class="_ _0"> </span>the</div><div class="t m0 x4c h2 yae ff1 fs0 fc1 sc0 ls0 ws0">following<span class="_ _0"> </span>c<span class="_ _b"></span>ommand.<span class="_ _0"> </span>If<span class="_ _0"> </span>you<span class="_ _0"> </span>already</div><div class="t m0 x4c h2 yaf ff1 fs0 fc1 sc0 ls0 ws0">had<span class="_ _0"> </span>an<span class="_ _0"> </span>encr<span class="_ _8"></span>ypt<span class="_ _b"></span>ed<span class="_ _0"> </span>user<span class="_ _0"> </span>on<span class="_ _0"> </span>your</div><div class="t m0 x4c h2 yb0 ff1 fs0 fc1 sc0 ls0 ws0">system,<span class="_ _0"> </span>y<span class="_ _b"></span>ou<span class="_ _0"> </span>can<span class="_ _0"> </span>safely<span class="_ _0"> </span>skip<span class="_ _0"> </span>this</div><a class="l" href="#pf2" data-dest-detail='[2,"XYZ",0,595,null]'><div class="d m2" style="border-style:none;position:absolute;left:946.288679px;bottom:9.994792px;width:45.160900px;height:8.662700px;background-color:rgba(255,255,255,0.000001);"></div></a></div><div class="pi" data-data='{"ctm":[1.216311,0.000000,0.000000,1.216311,0.000000,0.000000]}'></div></div></div>
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