Java导出txt模板——（一）

导出txt文件时候\r\n才能换行

java代码

package DRDCWordTemplates;

import java.io.BufferedWriter;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.io.UnsupportedEncodingException;
import java.io.Writer;

import org.junit.Test;

/*[题干]防抱死制动系统（ABS）在什么情况下可以最大限度发挥制动器效能?
[类型]单选
[选项]{A:间歇制动},{B:持续制动},{C:紧急制动},{D:缓踏制动踏板}
[答案]C
[解析]ABS的目的就是为了防止刹车的时候一脚踩死，导致翻车什么的。 不过刹车刹死就比较慢（速度N快的时候），效果等于踩下刹车，再松下刹车，反复几次！*/
public class ExportTemUtils {

    private static File outFile = new File("test.txt");

    /**
     * 产生单选模板
     *
     * @param num
     *            单选数量
     */
    public void danxuan(int num) {

        Writer out;
        try {
            out = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(outFile,true), "utf-8"), 10240);
            for (int i = 0; i < num; i++) {
                out.write(
                        "\n[题干]请在这里写题干\r\n[类型]单选\r\n[选项]{A:请在这里写A选项},{B:请在这里写B选项},{C:请在这里写C选项},{D:请在这里写D选项}\r\n[答案]请在这里填写正确答案\r\n[解析]:在这里写解析\r\n");
                out.write("\r\n");
            }
            out.flush();
            out.close();
        } catch (Exception e1) {
            // TODO Auto-generated catch block
            e1.printStackTrace();
        }
    }

    /**
     * 产生多选
     *
     * @param num
     *            多选题数量
     */
    public void duoxuan(int num) {
        Writer out;
        try {
            out = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(outFile,true), "utf-8"), 10240);
            for (int i = 0; i < num; i++) {
                out.write(
                        "\n[题干]请在这里写题干\r\n[类型]多选\r\n[选项]{A:请在这里写A选项},{B:请在这里写B选项},{C:请在这里写C选项},{D:请在这里写D选项}\r\n[答案]请在这里填写正确答案\r\n[解析]:在这里写解析\r\n");
                out.write("\r\n");
            }
            out.flush();
            out.close();
        } catch (Exception e1) {
            // TODO Auto-generated catch block
            e1.printStackTrace();
        }
    }
    public void panduan(int num){
        Writer out;
        try {
            out = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(outFile,true), "utf-8"), 10240);
            for (int i = 0; i < num; i++) {
                out.write(
                        "\n[题干]请在这里写题干\r\n[类型]判断题\r\n[答案]请在这里填写正确答案\r\n[解析]在这里写解析\r\n");
                out.write("\r\n");
            }
            out.flush();
            out.close();
        } catch (Exception e1) {
            // TODO Auto-generated catch block
            e1.printStackTrace();
        }
    }

    /**
     * 测试产生模板
     */
    @Test
    public void test1(){
        ExportTemUtils exportTemUtils=new ExportTemUtils();
        exportTemUtils.danxuan(1);
        exportTemUtils.duoxuan(1);
        exportTemUtils.panduan(1);
//        System.out.println(System.currentTimeMillis());
    }
}

 结果:

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAA3YAAAFhCAIAAACzg6/QAAAgAElEQVR4nO3dXY9kx33f8X45fCPKJQVEgO99FwTYi4WBGLBhO0DUDgzFkleGJMROyw4kS07iiBtve+XI9sq0KHO1wx0+P+3wYYZckVxSZEQEIq/izkVP95w+VfWvX/2rzpk+098PCovpPlV16lSxe3+s0z07++UvP6FQKBQKhUKhUBqW2YsAAABAU7OPAAAAgKaImAAAAGiMiAkAAIDGiJgAAABojIgJAACAxoiYAAAAaEyNmL/3x39i/AkAAABs5SPmf3v17F/961+7+/NffOGLX7pz+ugLX/zS/zr5+Re++KXvvnz2hS9+6T/dffkPn3ru6R8tRhgrAAAAJiETMR999NG3nj1545P/++ovPn3u0f/52XsfP/nuR3/79gdPnPz8L145W7zw1pefPP7KT5698eVfH2e4AIBhHN94/PEbx+ufb15/LGFbpe/m9fSxWOXrN5uMGsC+ykTM137+wXdfeuvBx5++/OGnx+9/8s8Pf3Hn7NHfvPne/3zw7ndeOf2T59789/9wtHjmVSImAEze8Y3HHzOj3yZGHt94PBVB++LdETGBqy8TMX/8xru3T969+9a7P3nznTsPTm+/8tYTL558/9nX/uz+K9+8++JXfvLs9R/83V/ef5mICeCw3bxuh7PaHvT+60Zi70VaR5PH9Dyq74IC2H+ZiPn9l99+6uz9Fz785f0PPnn6vY//8Z1HP3z7/SdOHn7v1bPFi2/fuH/yG7f+6bkPPiZiAjhsVyViZvu+iIG56JgMjJuGJErgSstEzG8eP7j/7qMn33jn718/vf3KWz948eQvn339z++/+s27L33tpy/8h3+8/2++9zdvP/oFERPAwepFrXgG24lTF590XGfBZA+J/tfPdHLkzeuPPfbY9Zt2P+JFKDfKt012x9A5YXq/8+b1xx6/ceP6Y9dvdD77CeDqsSLm+x9++K1nT+6+8/699z/+6cOP7pw9uv3W+088ePi9V8++/eJb33j2zd9/+qXfvP3U//uXfyFiAjhswd7hzeudjHd84/Hto50DN29sQ1bZLmanl94nKGt2MTupMbVHuRl6+gtBVsTdnGD9WcxjQiZwhVkR87l33vuLl97+yel7//u1t//65Tf/6oUH33v2tW8/88o37770taeen//T8W/d/ulv//WPP/n0UyImgMPWC3a9Hb71ExfflIlFwNIb5echM+ivYcQMuin4LGak6nYOOl/3KfoeOoApsSLmDx+c3Xr97MdvPnzy4Yc/Ov3g1hvv/Y8H7373ldP/8sLbf3x88gdHr/3enfvfePrF1WpFxARw2HaDXWIL8PrNj9KfRCz/LOZ5T72OjH6Sd+67FayI2T2HaGfXc9th5xvl2a+xA5gmK2J++/mTO28+/NHJu0+89MZ/f/7Bd45f/dNnXv7G3Rf/8Knn508e//bfP/MbT9z5r3efZxcTwMGLREwrNm3D3uPOG+WdTvSImaVGzMQIU7uYwWdHe7+0qPs5AgBXhRUxbzzz+p03Hy5ff+f2W+/94MHD77/6zp+9dPqt59742v0H//Fnr/3OUy/95u2fHj38kF1MAAevF+x2PnBpNtq2Ko2Y57edO3eflX5sQsTcREf9s5jbuTA/3rm7ywlg+pIR8+yDR9969uTOmw9/ePLu+lOYf37/1f987+Wv//MLX3nq+d9/8vh37hz92+/ffv29R+xiAjh4/UzZ37g7vvH45tvj13c2Lnf+QZ3dr2T3v8TT2yQ0vu7j3RE8z5XHN67fuBmPmOnNzfxnMXcrEyeBKy4ZMX/29sMv333lD+699rX7D24cn/zR/ZM/uv/gq/cffPWZ179+fPL145OvHr3+7/726dVqxS4mAGy39Xq3h8OPPnb2/3ZD2E4P0a/xnB+9eX23bS/PBiMpvYbHbxx/FOyObs8Uz4bx+saJiJjAFZf5vZhrJ2+dfvLpp0YhYgLA5O0GyPit8NjXxM8VhEYiJnD1SRHzr77zlRtf/nWjPP2jxdADBQAAwFRIERMAAADQETEBAADQGBETAAAAjRExAQAA0BgREwAAAI0RMQEAANAYERMAAACN9SPmAwAAAKBOJGL+6rPPKRQKhUKhUCgUdyFiUigUCoVCoVAaFyImhUKhUCgUCqVx8UXMs1vza4ujyx895SDL0eLa4l5Jk3uL+a2zSx82hUKhUCgHVNy7mEeLa4m/to8W8+VZ9+G1xdHwV9KLHfHhbaLG2a35tV1lkcUzvPny9Pzns1tzIfGsp/FoMfzYzAFE5tkw8FCDky+OOk+dz/DO4q7/R4iISaFQKBTKyEWNmEEmC2wi1Pav8/MfYhHzdDm/tjjqR7358tbiWizWCOU8D8UD0GbDdZvzeiHv7Nb8IhvFx3Ztce+zz++5h9eNmP0xJmLZNuHtTuBmeJ//6rPPf3W27Izx4oqc47TT47VIn0Z0W4/z3uJab/VPl/OqhV5P5sWknf98upxvOrxYzdPl3IiY3YXe2ZI/W85rl5tCoVAolEMvZbuY27+zL0pvr+tsOT/PUptQFUbMizrhDXdth69fzm4tNicNEtu9xbXF0ef3uvFpvlikdjGtsTmH142q8+Vy0TndJuXkwt21TVC7GN46EXYGc7acX4Rp3zR2J21+a7mYL5eL/v8ehBvA5jT2d2G3s+obYW+iFvfWK362nF9MRS9i9ppsqhkLvYmY9dNIoVAoFMrBlsIb5cHN03WA2z682GOLpaZ1206TWIxz3Fg/WiyO1g0Xxi6mcrc0Mzbf8D67CDSbjL6ZHaOrs+U8ONoZ3tHiWmzqtnnO+/mEdRZfz+fmTn10nNbncZPjvEhvNZ+g6O46b/+nohtee0t/kRQ7W+zphW4zSAqFQqFQDrqUfhYz+MjjxUcMPz9PTuc3Hzd5rv+XdHdnKBZTuht1WjnfoZwvT40vgpwt54uj89up0U3D+fI0OzbX8H61Tt7bkH1+d3sdh9MfXoxEzN1ZjQyj8wlU9zQa1je+bf1p/Lx7r7x/l79whKfL/g7qfLns/o/FJlD2bpRvn9kOzFzobsR0LTeFQqFQKJTir/t0PvTWv29+upzPF4v54mgnHvUjZjcFnu3eRD4LKohlmyGOFtfm8+BO7nx5tpNO5stbO5uv2zMmx9a5BMfwjhaLxTqL3+vHyvNQHoSn+a2zXnzfPXU8YnbTkmOcnwf/z9Cb3s4zy8jna+On3rnvHJ32srK7Gx12Et3F3A4gt9CbdsEuKYVCoVAolILi+Eb5ZgcouId4b7k8DffeetV2toXafN7xYo9wsViH3HufHS0WR+tbvb1MvL1ZH4kU+bE5h7c42ka3YAe1tw28M4DdcNP7IGY8C3Y35+o/7BhGrp0J71c6Cpe4M5Pd3UHvCHf2QePfeQ93Mbtf8xIWemecfByTQqFQKBRP8f3SoqNFPxttyjpipoJK/152NMZV7BsdLa4tluGm1DaIbG+pi7uYsYhZ/ksZl8vTz7oR0/ykQedh73OuwTepzc9iDreLebZczOfhJxSTu5ibXLiTDn0jPFvOI5vUuwE3jJgX/9uT3MVMR0x2MSkUCoVC8RTfLubmS9lhHMnuYu78xsrEZzEdf6lvQu18eXQrsot5tM6d87m5i5kdm3t4roh5MXXnu247v+zzdDlPf6O8Ypz2LuZ6JIlanYi5u/N3tpxfm8/n4ZO+EV58WqD7Pw/diHnrYp91/dmNi0P5he59FpOISaFQKBRKeSmKmOtPrXWCwjpqdFNRPmK2/0b55gsl69xwFouYkRvlm6+Zd3dY+2Pr7oQmvr0kFvlGeSevnY9h+y2lcF8z8XsxK8aZnerFvUTn3Q/mBvuv6/8t2f0fEvdM7kbMzQpefFX8Wmffev1rOE+3bS9+eyvfKKdQKBQKZcBS9KvXEx9KWwed9V/eQsQ0v6Vb8dG38z2t3m+06e6unUfM7hbm5lcIid8gdg/P3sXcxtlww+w8xRd+T9wzTuUb5Rdrau1iKuNs8RnH+Gcxe2fZZOJrO9FTm0k+iEmhUCgUirO4/wHJqhJ8LO+8XNK/p7IT+1Jju7zhSVM3rXHu/wj3ZJAUCoVCoUy0XE7EpFAoFAqFQqFc4ULEpFAoFAqFQqE0LpGI+cGjDykUCoVCoVAoFHeJRMxfAgAAABUiEfN3lx9SKBQKhUKhUCjuEo+YKwAAAMCLiAkAAIDGrkjEnM1mDas1aQUAAHCwpIg564g+uX5+FpOqb9RMnXGVTnsNI2a0jtHQfV1iq/D5ovr2eAAAAIagRsxIy91Yk62v9KlU2z5TmqL0dGWcNFu56KHS5zjzDAAA0FBVxEztokknro6YpSPU9/Zm6c3CVGXl4awTjvVLHmeeAQAAGmq8i2lEMaXP0mrZ/Fd6OsdgisKrYzDjzDMAAEBDjXcx9W22tptw2Wr2XmNNK7uOI5XalcNuiZgAAGDf+CNmvLvNLeZsK0fIC2OWGNSiuS16rrB5NNUZXTlSqUPzeQYAAGjIEzGNVBeNPnYWNKJheOroM5kr1Lq1r9doUn9F9sjHmWcAAICGancxjTRWFOP0at1nsuGpNx53CizKhdkKjvA39DwDAAA0NPmIqRwtjYzGRTkGXISICQAAroDab5SH229iIBtnF1PpxK5vJ9rUGLK7ksqpu88MPc8AAAANNYiYqZqXvotZWi08WtrQrqAkUSNips7SZJ4BAAAaahkxiwJZZcQM9/aMXUNfxBS7Kq1Q2nyceQYAAGjIGTG7Cc954oqIWbrL6MhkQ1+X2Hy0eQYAAGhIjZip+7n2zV/37prRQ2o/z956FMfZ69Cur3SbnQd78LOB5xkAAGAIUsTst2mRWoboJNXnJGKWkS/bdgsAADA0T8SMd1QdZfQe6qMkwQsAAGA4zhvl2+ezP4c9iL3Zt4D1Pb/owIiYAAAAw2n2q9eV9BatYzcUP2VoR8aiQQIAAKBSbcT01amJmI4vvnRPodQHAABADf8vLVKk+qmMmPrD1CGSJQAAwHAa7GLOdn8XerSCkUFHi5iOagAAAHCY3mcx9a3TMMuKu60AAACoURUxU7ees2FRTJPRJx27mHqiBQAAQL2qz2Ja/cr/Ks/2IRETAADgahjpG+WlSdFuKN4oj3ZCxAQAABiaJ2JmQ14v8Om3xR3ViuIvWRMAAGAEbXYxjSjZrVO6+6ifWqxDxAQAABhBs19apNTU+0x1XrR72uskPKOdbgEAAODT7JcWKZWHqNZkhxUAAAANqREz3PCz725X7j6m9iOj5xKP6rueAAAAqCFFzH4bLZONE91IhwAAAPvGEzGt7iYe+Nre5W/S6lJMaKhFWN+1CQ21COu7NqGhFmF91yY0VBy4qhvl4c/6f/pNbpS7N0pTrRq+hUXrGA3t+/i9htnKyuyFQ2q7ju7V6XXua1j0vKMa68v69g6xvtHOfQ2LnndUY33r1xfIavMPSDr+0892nj1a//a3/aHo9V/08tbbhm9S+kN9AHa1IdbRvUysr2MAdjXWt+i8rK+vq8qGveas736uL6BoFjGN1799KDO+kohZ9GqJVk49qQt7K6qsPBTfaPT5GXQdixZFGVVpc+VJXdhbUWXl4axwfbPzk6oZLqJxKDuMUuEM2FehnDf1pC7sraiy8nBWuL7Rq4jWtAdpHxKHoUuNqrS58qQu7K2osvJwVri+2flJ1QwX0TiUHQYwhFF/L6b9erBfXcoh96tFHEzNKbKdpN/oPJOjnzd6tOE61iyKY2yprq72+irzM5X1dfR5UOtrDEDs+XLX19HhQa2vcmn7sL6Aotm/Ua7UtF8kpa/SaA+VL5hsc9/rs/RvCL1J6Vueb8DG0ew6ulckdZaaJb6q61s6P/u8vq36VCpMcX2VYbO+RSdifYGB1P4b5SvzhWT0s/05/ME4tT0qo5PeqbvPuN8I7NOFJ7WvyPGmU/TuEM7POOtYNMjsWaIdsr6pkUxifbM9HPj6GmecxPpm+zzw9U31tufrCyjafBZzJbxEs/VLX6Wpl2W0pvjuY3B0oo9wZb6DtBp/qtWg6+h+C+udJTUPK9ZXmJ/w5/1Z32wPB76+yvyEP+/P+mb7PPD1TY0k+nB/1hdQTDViGi9p8TXTG4z9ltF996l5l2n794rvLc8e1RDr6HgXU95k9R6u/Pra87Pn6+toHvZwhddX6Sr8eX/WN/tQGeQVXt+wN+PhnqwvIJpqxAwPGW8l+mDEoSrDi44w20Ts2dFcfKttvo7uCzEWSOnzoNb3Ev+Kql9fXw+Hs75Kmgl/3p/19fV5OOtb9HB/1hdQNP69mKknlWo1EbPoHTnaJKQMRn8Ly44wOgZ7POKps2cfdB335K+ow1lf4+F+rq+vh8NZ32zbPV9fX5+Hs776w71aX0AxdsTcvhq7fxpnMV4Abd/ClPO638JKG9oVlHe6od/C9HV0v4Wxvqyvr3mqB9a3N4AV6+tqaFc4kPUFFA0ipv2fePhQ6SF76lXJyyZ69t4rMPVeYA9GeQsTuyqtUNRceTjQOqaeLJoBY61TvR3s+tpT0Xue9c2OkPWNPsn62hWKmu/b+gKt+COm8V9tqrLxZKofo//USyt8paXewrpNSgcsDs/9Am74FmbPz9Dr6FjZXgXlrxbWNzU/+7++24esr9F8uuvL69duvp+vX6AJNWL2XgDGKyT7hhL2YPdpjT5XwW5r/Gy8FSrXWzQ/SrfKbNiDVybBcd7wUHcSihpG6+jXYvQf/hztVp//onlTus3Oc3bwyiQ4zhsemrG+u/WVbrPznB28MgmO84aHZqzvbn2l2+w8ZwevTILjvOGhmba+QBNSxGx/Vu//GQ+kd959G16RMQfpnqiRZ5L1bXsu1nc4rG/2dKxv5bkmMVG4GqoipvF/SI62NcTefCcdYaj79pq3x7M/6w4AAPaT80b59vmwZvw0hXcZ9DPazzuqlUZA/aIc/Yvztm1eOs9Fk2AcrRx/djwAAGBaqr7uEwYFI/rkh6JlLyVO6f2LNY22MzMEV45fHLM+vN4h47yp+Rxn3QEAwKS1/Ea5GCyKIoWY9lJP6sLeiiqLD0vHbxy124pHo3WUh0OvOwAAmDRnxAwThpFL3FEveure0WwPSj+iVBB0X5E4/prBK22jeTH7cNB1BwAAk+aJmKnYVJpmUs/oR/Vq2UtwtyrKZL1QJc5GTTgrqrAdVfQsY647AACYtKp/3We1iSOph9HK3TqlAajXVgxejiQX1kwN1T6XfWoxMpamsej4jcqpRTGufeh1BwAAk1b7dZ94p2bgWCXCXKqmMpjsuYo6icZE+2INRufKwBxpzE6x4eB7reyIOc66AwCASXPeKO+Gj1SI6SUJO+UYqcV4JhvpZp10GK0cPbXyTEq2ZtH47WGn5m1mptiw817N1Fl6lVMj6Y0qNVRj/AAAYOpqb5T7T+z9kKWdn6JH7WrZk846OdUxYGWEenOlvhgxe9el/FCPTAkAwCGoipji1ppRzW4YPXVqh8zYFauJmNm4VnNF4vjFoepjjlZWfjCGHQ4+OzPuqwYAAHuuNmIWPd892v0zWzn1jH20tFp4tLShWGEbqhwBtJfJsterD7j7QzY72l0ZR8V1BwAAkzZ2xIwGGmt8iRC2/VPZD/NFTLErvUIvXCoJMqtJxEzF1tQajbDuAABg0saLmL3k1PtZ7yoahrKnFke+MvOlwpeYlbb66UojZveHaNuaiOlbdwAAMGlqxIzurombcNEkkc2Oqf08I69Eu7XH2TtLGICM+kq3qaswJiFaM1ptJi+HMZ6wk5oThdWUSxavGgAATIUUMZONXZ/J0+uUdlIznvFVjnaIi4r2qefg0dYdAADsuUEipqN+2+Th6+3S08/ezicAAECR2hvlqWriTdJew+wZ1avybqfZoc1WVHnk+QQAABhT7T8gaeQkOxKJIdKRk/QmemgLDxU9VPocZz4BAABGUBUxo0f1SCSNT9uP1IWdF1VWHhozoPQw6HwCAACMwBkx7TzU/XOVuOHbMGLW1Nc7KQqvpYMZbT4BAABG4ImY0c2/lbCp5th1q4yYvrMoeVFsokTSMecTAABgBLU3yqNbaEbe6j3M7gUqXRmVs8kvrJnKar6IGe3K6H/o+QQAABhB44gZTUjbQ93QI+7A6RFTT6ipo8bgV+kMVxSOs4MZej4BAABG0OYb5d2gE01dYX6qiZipats/3SlQD2fZmo5IOsJ8AgAAjKDlLuYstqMWVg7rVEbM7HnFzsNB6m1L2VM03HwCAACMYIzPYkajUsOIaVTWI2Z2PKW7kr6hDj2fAAAAI2h5ozwbvPY2YpY2tCsoSTR6xhHmEwAAYATjfaN81S5ihmErVVmJmGJXpRVKm48znwAAACNo86vXSyORWD91qEnENPKlom3EHG0+AQAARqBGTPs+b/NIlLo1nLkYQXjGbH2lW3G0s0SuHXo+AQAAxiRFzH6bINAURaJswHKbRLRS8uWezCcAAICPJ2ICAAAABiImAAAAGiNiAgAAoDEiJgAAABojYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoDEiJgAAABojYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoDEiJgAAABq7IhFzNps1rNakFQAAwMGSIuasI/rk+vlZTKq+UTN1xlU67TWMmNE6RkP3dYmtwueL6tvjAQAAGIIaMSMtd2NNtr7Sp1Jt+0xpitLTlXHSbOWih0qf48wzAABAQ1URM7WLJp24OmKWjlDf25ulNwtTlZWHs0441i95nHkGAABoqPEuphHFlD5Lq2XzX+npHIMpCq+OwYwzzwAAAA013sXUt9nabsJlq9l7jTWt7DqOVGpXDrslYgIAgH3jj5jx7ja3mLOtHCEvjFliUIvmtui5wubRVGd05UilDs3nGQAAoCFPxDRSXTT62FnQiIbhqaPPZK5Q69a+XqNJ/RXZIx9nngEAABqq3cU00lhRjNOrdZ/JhqfeeNwpsCgXZis4wt/Q8wwAANDQ5COmcrQ0MhoX5RhwESImAAC4Amq/UR5uv4mBbJxdTKUTu76daFNjyO5KKqfuPjP0PAMAADTUIGKmal76LmZptfBoaUO7gpJEjYiZOkuTeQYAAGioZcQsCmSVETPc2zN2DX0RU+yqtEJp83HmGQAAoCFnxOwmPOeJKyJm6S6jI5MNfV1i89HmGQAAoCE1Yqbu59o3f927a0YPqf08e+tRHGevQ7u+0m12HuzBzwaeZwAAgCFIEbPfpkVqGaKTVJ+TiFlGvmzbLQAAwNA8ETPeUXWUcfTgPinBCwAAYDjOG+Xb57M/hz2IvSm3mJWkGB0YERMAAGA4zX71upLeonXshnZv4kcSiwYJAACASrUR01enPmIWfXKxewr9izIAAADw8f/SIkWqn5qImb3JnrxU+deVAwAAoEaDXczZ7u9Cj1YwMqhvFzPb0EbEBAAAGM6EP4u56vxO8my0XeWSLgAAAFqpipipW8/ZsKinSePU+i6mnmgBAABQr+qzmFa/8r/Ks32oRMxw31HZkiRiAgAAjGmkb5TbidNoXtlt+CQREwAAYGieiGl8qDG6p1h0B1ysFt2wzOZUsiYAAMAI2uxiGlGyWycbRlM9h/2ER42zEzEBAADG1OyXFik19T71amK6jdax0y0AAAB8mv3SIqXyENWyGVHJoAAAAGhIjZjhhp99dzusKTLOGB1S5vLkYdj9AAAAQCdFzH4bLZMNEd1IhAAAAPvPEzGt7iYe/sTx+y5zQpMzoaEWYX3XJjTUIqzv2oSGWoT1XZvQUHHgqm6Uhz/r/+lX3ijvVhPP2GtY9LyjWrSO0dC+j99rmK2szF44pLbr6F6dXue+hkXPO6qxvqxv7xDrG+3c17DoeUc11rd+fYGsNv+ApOM//Wzn2aP1b3/bH4pe/0Uvb71t+CalP9QHYFcbYh3dy8T6OgZgV2N9i87L+vq6qmzYa8767uf6AopmEdN4/duHMuMriZhFr5Zo5dSTurC3osrKQ/GNRp+fQdexaFGUUZU2V57Uhb0VVVYezgrXNzs/qZrhIhqHssMoFc6AfRXKeVNP6sLeiiorD2eF6xu9imhNe5D2IXEYutSoSpsrT+rC3ooqKw9nheubnZ9UzXARjUPZYQBDGPX3YtqvB/vVpRxyv1rEwdScIttJ+o3OMzn6eaNHG65jzaI4xpbq6mqvrzI/U1lfR58Htb7GAMSeL3d9HR0e1Poql7YP6wsomv0b5UpN+0VS+iqN9lD5gsk2970+S/+G0JuUvuX5Bmwcza6je0VSZ6lZ4qu6vqXzs8/r26pPpcIU11cZNutbdCLWFxhI7b9RvjJfSEY/25/DH4xT26MyOumduvuM+43APl14UvuKHG86Re8O4fyMs45Fg8yeJdoh65saySTWN9vDga+vccZJrG+2zwNf31Rve76+gKLNZzFXwks0W7/0VZp6WUZriu8+Bkcn+ghX5jtIq/GnWg26ju63sN5ZUvOwYn2F+Ql/3p/1zfZw4OurzE/48/6sb7bPA1/f1EiiD/dnfQHFVCOm8ZIWXzO9wdhvGd13n5p3mbZ/r/je8uxRDbGOjncx5U1W7+HKr689P3u+vo7mYQ9XeH2VrsKf92d9sw+VQV7h9Q17Mx7uyfoCoqlGzPCQ8VaiD0YcqjK86AizTcSeHc3Ft9rm6+i+EGOBlD4Pan0v8a+o+vX19XA466ukmfDn/VlfX5+Hs75FD/dnfQFF49+LmXpSqVYTMYvekaNNQspg9Lew7AijY7DHI546e/ZB13FP/oo6nPU1Hu7n+vp6OJz1zbbd8/X19Xk466s/3Kv1BRRjR8ztq7H7p3EW4wXQ9i1MOa/7Lay0oV1Beacb+i1MX0f3Wxjry/r6mqd6YH17A1ixvq6GdoUDWV9A0SBi2v+Jhw+VHrKnXpW8bKJn770CU+8F9mCUtzCxq9IKRc2VhwOtY+rJohkw1jrV28Gurz0VvedZ3+wIWd/ok6yvXaGo+b6tL9CKP4S3f9sAAA89SURBVGIa/9WmKhtPpvox+k+9tMJXWuotrNukdMDi8Nwv4IZvYfb8DL2OjpXtVVD+amF9U/Oz/+u7fcj6Gs2nu768fu3m+/n6BZpQI2bvBWC8QrJvKGEPdp/W6HMV7LbGz8ZboXK9RfOjdKvMhj14ZRIc5w0PdSehqGG0jn4tRv/hz9Fu9fkvmjel2+w8ZwevTILjvOGhGeu7W1/pNjvP2cErk+A4b3hoxvru1le6zc5zdvDKJDjOGx6aaesLNCFFzPZn9f6f8UB659234RUZc5DuiRp5JlnftudifYfD+mZPx/pWnmsSE4WroSpiGv+H5GhbQ+zNd9IRhrpvr3l7PPuz7gAAYD85b5Rvnw9rxk9TeJdBP6P9vKNaaQTUL8rRvzhv2+al81w0CcbRyvFnxwMAAKal6us+YVAwok9+KFr2UuKU3r9Y02g7M0Nw5fjFMevD6x0yzpuaz3HWHQAATFrLb5SLwaIoUohpL/WkLuytqLL4sHT8xlG7rXg0Wkd5OPS6AwCASXNGzDBhGLnEHfWip+4dzfag9CNKBUH3FYnjrxm80jaaF7MPB113AAAwaZ6ImYpNpWkm9Yx+VK+WvQR3q6JM1gtV4mzUhLOiCttRRc8y5roDAIBJq/rXfVabOJJ6GK3crVMagHptxeDlSHJhzdRQ7XPZpxYjY2kai47fqJxaFOPah153AAAwabVf94l3agaOVSLMpWoqg8meq6iTaEy0L9ZgdK4MzJHG7BQbDr7Xyo6Y46w7AACYNOeN8m74SIWYXpKwU46RWoxnspFu1kmH0crRUyvPpGRrFo3fHnZq3mZmig0779VMnaVXOTWS3qhSQzXGDwAApq72Rrn/xN4PWdr5KXrUrpY96ayTUx0DVkaoN1fqixGzd13KD/XIlAAAHIKqiClurRnV7IbRU6d2yIxdsZqImY1rNVckjl8cqj7maGXlB2PY4eCzM+O+agAAsOdqI2bR892j3T+zlVPP2EdLq4VHSxuKFbahyhFAe5kse736gLs/ZLOj3ZVxVFx3AAAwaWNHzGigscaXCGHbP5X9MF/EFLvSK/TCpZIgs5pEzFRsTa3RCOsOAAAmbbyI2UtOvZ/1rqJhKHtqceQrM18qfIlZaaufrjRidn+Itq2JmL51BwAAk6ZGzOjumrgJF00S2eyY2s8z8kq0W3ucvbOEAcior3SbugpjEqI1o9Vm8nIY4wk7qTlRWE25ZPGqAQDAVEgRM9nY9Zk8vU5pJzXjGV/laIe4qGifeg4ebd0BAMCeGyRiOuq3TR6+3i49/eztfAIAABSpvVGeqibeJO01zJ5RvSrvdpod2mxFlUeeTwAAgDHV/gOSRk6yI5EYIh05SW+ih7bwUNFDpc9x5hMAAGAEVREzelSPRNL4tP1IXdh5UWXloTEDSg+DzicAAMAInBHTzkPdP1eJG74NI2ZNfb2TovBaOpjR5hMAAGAEnogZ3fxbCZtqjl23yojpO4uSF8UmSiQdcz4BAABGUHujPLqFZuSt3sPsXqDSlVE5m/zCmqms5ouY0a6M/oeeTwAAgBE0jpjRhLQ91A094g6cHjH1hJo6agx+lc5wReE4O5ih5xMAAGAEbb5R3g060dQV5qeaiJmqtv3TnQL1cJat6YikI8wnAADACFruYs5iO2ph5bBOZcTMnlfsPByk3raUPUXDzScAAMAIxvgsZjQqNYyYRmU9YmbHU7or6Rvq0PMJAAAwgpY3yrPBa28jZmlDu4KSRKNnHGE+AQAARjDeN8pX7SJmGLZSlZWIKXZVWqG0+TjzCQAAMII2v3q9NBKJ9VOHmkRMI18q2kbM0eYTAABgBGrEtO/zNo9EqVvDmYsRhGfM1le6FUc7S+TaoecTAABgTFLE7LcJAk1RJMoGLLdJRCslX+7JfAIAAPh4IiYAAABgIGICAACgMSImAAAAGiNiAgAAoDEiJgAAABojYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoDEiJgAAABojYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoLErEjFns1nDak1aAQAAHCwpYs46ok+un5/FpOobNVNnXKXTXsOIGa1jNHRfl9gqfL6ovj0eAACAIagRM9JyN9Zk6yt9KtW2z5SmKD1dGSfNVi56qPQ5zjwDAAA0VBUxU7to0omrI2bpCPW9vVl6szBVWXk464Rj/ZLHmWcAAICGGu9iGlFM6bO0Wjb/lZ7OMZii8OoYzDjzDAAA0FDjXUx9m63tJly2mr3XWNPKruNIpXblsFsiJgAA2Df+iBnvbnOLOdvKEfLCmCUGtWhui54rbB5NdUZXjlTq0HyeAQAAGvJETCPVRaOPnQWNaBieOvpM5gq1bu3rNZrUX5E98nHmGQAAoKHaXUwjjRXFOL1a95lseOqNx50Ci3JhtoIj/A09zwAAAA1NPmIqR0sjo3FRjgEXIWICAIAroPYb5eH2mxjIxtnFVDqx69uJNjWG7K6kcuruM0PPMwAAQEMNImaq5qXvYpZWC4+WNrQrKEnUiJipszSZZwAAgIZaRsyiQFYZMcO9PWPX0Bcxxa5KK5Q2H2eeAQAAGnJGzG7Cc564ImKW7jI6MtnQ1yU2H22eAQAAGlIjZup+rn3z1727ZvSQ2s+ztx7FcfY6tOsr3WbnwR78bOB5BgAAGIIUMfttWqSWITpJ9TmJmGXky7bdAgAADM0TMeMdVUeZ0h5KAyVhCwAAYBzOG+Xb57M/hz2IvelnrNzLDJv3zl50YxoAAADNfvV6KvDZlbMNjdvHSsTcZsTwz1RYNLIyyRIAAEBRGzF9dRpGTDtxdp/sBko7B0cDKPkSAABA5P+lRYpUPzURM3XI7tz42eg2TKjR6wIAAEBXg13M8DZ0WMHIoEURs7SfbOXsaKN9GrMBAACA6X0WM3WodBezaGMyG6MBAACwVRUxlTDnq5A9dXgom1+ju5LZLc8wXBIxAQAAbFWfxbT6Lf+m9nAR04iJSnpOtQUAAEDUSN8otxOn0VzZZUztUK52ozAREwAAYByeiJmNetG7zHafyfEN/I3yVPZNJVfyJQAAQFabXUwlfol7kOKpU9Fw1S5ipk5HygQAALA1+6VFSk29z2w1cXcz21yJmEacBQAAQKjZLy1SKreqVhR57R3T6G6lsasKAACALDViRsOZsUeo5Dwj/EXPuD2UvBjt45LZiKmM2T4FAADAIZMiZr+NlrGGiGJF8VGpYMRNAAAA+Hgi5kXjig8pts1zYm++k44w1H1Lt/Z49mfdAQDAfvLfKF+VRI2iu+RFZ7Sfd1QrjYClt9SL+hfnbdu8dJ6LJsE4Wjn+7HgAAMC0+L/uEw0KRvTJD0XLXkqc0vsXaxptZ2YIrhy/OGZ9eL1DxnlT8znOugMAgEmripi9Q2KwKIoUYtpLPakLeyuqLD4sHb9x1G4rHo3WUR4Ove4AAGDS/P9Gee9nI5e4o1701L2j2R6UfkSpIOi+InH8NYNX2kbzYvbhoOsOAAAmzfkPSEYrlKaZ1DP6Ub1a9hLcrYoyWS9UibNRE86KKmxHFT3LmOsOAAAmrcGvXg9TlF25W6c0APXaisHLkeTCmqmh2ueyTy1GxtI0Fh2/UTm1KMa1D73uAABg0mq/7hPv1Awcq0SYS9VUBpM9V1En0ZhoX6zB6FwZmCON2Sk2HHyvlR0xx1l3AAAwac4b5d3wkQoxvSRhpxwjtRjPZCPdrJMOo5Wjp1aeScnWLBq/PezUvM3MFBt23quZOkuvcmokvVGlhmqMHwAATF3tjXL/ib0fsrTzU/SoXS170lknpzoGrIxQb67UFyNm77qUH+qRKQEAOARVEVPcWjOq2Q2jp07tkBm7YjURMxvXaq5IHL84VH3M0crKD8aww8FnZ8Z91QAAYM/VRsyi57tHu39mK6eesY+WVguPljYUK2xDlSOA9jJZ9nr1AXd/yGZHuyvjqLjuAABg0saOmNFAY40vEcK2fyr7Yb6IKXalV+iFSyVBZjWJmKnYmlqjEdYdAABM2ngRs5ecej/rXUXDUPbU4shXZr5U+BKz0lY/XWnE7P4QbVsTMX3rDgAAJk2NmNHdNXETLpokstkxtZ9n5JVot/Y4e2cJA5BRX+k2dRXGJERrRqvN5OUwxhN2UnOisJpyyeJVAwCAqZAiZrKx6zN5ep3STmrGM77K0Q5xUdE+9Rw82roDAIA9N0jEdNT3JY8xWzV06fMGAAAwqNob5alq4k3SXsPsGcUOs3Xs0GYrqjzyvAEAAOyD2n9A0shPdlSqD5F6tNJDW3io6KHS5zjzBgAAcImqImb0qB6VpPHJ378xNgJnuW/nGBdrPDSuVOlh0HkDAAC4RM6Iaeek7p+rxI1gR8RUni+Sis56eC0dzGjzBgAAcIk8ETO6KbgSNtscu3FixPT1puRFsYkSScecNwAAgEtUe6M8urVm5LDew+weobhrmE1+YU1feBXHYxhn3gAAAC5R44gZTU7bQ90wJO7MRdOkGDFTR41BrtIZrigEZwcz9LwBAABcojbfKO8GoGgaC3OVL2L2enCnQD2cZWs6IukI8wYAAHCJWu5izmI7bWHlsI4YMbP9K51EB6O3LWVPxXDzBgAAcInG+CxmNEI5IqbxpB4xs+ct3ZW0KREzVblm3gAAAC5Ryxvl2UB26RGztGF2bNkkGj3jCPMGAABwicb7RvnqsiOm2FVphdLm48wbAADAJWrzq9dLo5JYP3WoKGIa+VLRNmKONm8AAACXSI2Y9v3f5lEpdcs4PJoS9pytr3RrjCq8ouh16Q/D58X6AAAAl0uKmP02QdApikrZ4JUf9BSilZIvR543AACAcXgiJgAAAGAgYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoDEiJgAAABojYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoDEiJgAAABojYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoDEiJgAAABojYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoDEiJgAAABojYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoDEiJgAAABojYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoDEiJgAAABojYgIAAKAxIiYAAAAaI2ICAACgMSImAAAAGiNiAgAAoLH/D9/+SIxgxxhKAAAAAElFTkSuQmCC" 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