├── .gitignore
├── README.md
├── all
    ├── all_2022.csv
    ├── all_2022.txt
    ├── all_2023.csv
    ├── all_2023.txt
    ├── all_2024.csv
    ├── all_2024.txt
    └── all_with_problem_2022.txt
├── analysis.ipynb
├── analysis_2024.ipynb
├── config.py
├── download.py
├── exception.txt
├── gitpush.bat
├── pdf2text.py
├── requirements.txt
├── txt_joint.py
└── 统计结果.png


/.gitignore:
--------------------------------------------------------------------------------
 1 | paper/*.pdf
 2 | paper_2022/*.pdf
 3 | paper_2023/*.pdf
 4 | .ipynb_checkpoints
 5 | __pycache__
 6 | gitpush.bat
 7 | .idea
 8 | tmp*.txt
 9 | all/tmp*.txt
10 | /all/tmp*.txt
11 | your_university/*.txt
12 | /your_university/*.txt
13 | your_university


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # comap_crawler
 2 | 
 3 | 2024更新：修改config.py中的23为24即可爬取2024美赛证书并进行分析
 4 | 
 5 | 2023美赛爬虫，2024美赛获奖证书爬虫
 6 | 
 7 | 美国大学生数学建模竞赛证书爬取及信息OCR识别分析
 8 | 
 9 | ## 运行步骤
10 | 
11 | 1. 安装tesseractOCR，参考版本：v5.0.1.20220118，其他版本不保证可用，
12 | 
13 |    v5.0.1.20220118下载地址
14 | 
15 |    https://digi.bib.uni-mannheim.de/tesseract/tesseract-ocr-w64-setup-v5.0.1.20220118.exe
16 | 
17 |    其他版本下载：https://digi.bib.uni-mannheim.de/tesseract/
18 | 
19 | 2. `pip install -r requirements.txt`
20 | 
21 | 3. config.py中设置年份、进程数、你的学校、TesseractOCR安装路径等，进程数根据CPU和内存情况设置
22 | 
23 | 4. download.py下载证书，由于有些证书只运行一次部分下载会失败，需要运行多次，确保全部下载
24 | 
25 | 5. pdf2text.py识别学校、姓名、获奖等级、队伍ID等
26 | 
27 | 6. txt_joint.py合并OCR识别的txt结果
28 | 
29 | 7. analysis.ipynb分析数据
30 | 
31 | ## 识别结果：
32 | 
33 | 更多分析结果请自行下载代码，运行analysis.ipynb进行分析
34 | 
35 | ### 2024美赛
36 | 
37 | 2024美赛结果，证书数量28905张，最终识别28796条信息
38 | https://raw.githubusercontent.com/personqianduixue/comap_crawler_2023/master/all/all_2024.txt
39 | 
40 | cdn加速镜像：https://fastly.jsdelivr.net/gh/personqianduixue/comap_crawler_2023@master/all/all_2024.txt
41 | 
42 | 
43 | 
44 | ### 2023美赛
45 | 
46 | 2023美赛结果，证书数量20858张，最终识别20818条信息
47 | 
48 | https://raw.githubusercontent.com/personqianduixue/comap_crawler_2023/master/all/all_2023.txt
49 | 
50 | cdn加速镜像：https://ghproxy.net/https://raw.githubusercontent.com/personqianduixue/comap_crawler_2023/master/all/all_2023.txt
51 | 
52 | 
53 | 
54 | ### 2022美赛
55 | 
56 | 2022美赛结果，证书数量27205张，最终识别27161条信息
57 | 
58 | https://raw.githubusercontent.com/personqianduixue/comap_crawler_2023/master/all/all_2022.txt
59 | 
60 | cdn加速镜像：https://ghproxy.net/https://raw.githubusercontent.com/personqianduixue/comap_crawler_2023/master/all/all_2022.txt
61 | 
62 | 
63 | 


--------------------------------------------------------------------------------
/analysis.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |  "cells": [
   3 |   {
   4 |    "cell_type": "code",
   5 |    "execution_count": 1,
   6 |    "metadata": {},
   7 |    "outputs": [],
   8 |    "source": [
   9 |     "import shutil\n",
  10 |     "import pandas as pd\n",
  11 |     "from config import *"
  12 |    ]
  13 |   },
  14 |   {
  15 |    "cell_type": "code",
  16 |    "execution_count": 2,
  17 |    "metadata": {},
  18 |    "outputs": [],
  19 |    "source": [
  20 |     "your_university='Huazhong University of Science and Technology'"
  21 |    ]
  22 |   },
  23 |   {
  24 |    "cell_type": "code",
  25 |    "execution_count": 3,
  26 |    "metadata": {},
  27 |    "outputs": [],
  28 |    "source": [
  29 |     "year=23"
  30 |    ]
  31 |   },
  32 |   {
  33 |    "cell_type": "code",
  34 |    "execution_count": 4,
  35 |    "metadata": {
  36 |     "scrolled": true
  37 |    },
  38 |    "outputs": [
  39 |     {
  40 |      "data": {
  41 |       "text/html": [
  42 |        "<div>\n",
  43 |        "<style scoped>\n",
  44 |        "    .dataframe tbody tr th:only-of-type {\n",
  45 |        "        vertical-align: middle;\n",
  46 |        "    }\n",
  47 |        "\n",
  48 |        "    .dataframe tbody tr th {\n",
  49 |        "        vertical-align: top;\n",
  50 |        "    }\n",
  51 |        "\n",
  52 |        "    .dataframe thead th {\n",
  53 |        "        text-align: right;\n",
  54 |        "    }\n",
  55 |        "</style>\n",
  56 |        "<table border=\"1\" class=\"dataframe\">\n",
  57 |        "  <thead>\n",
  58 |        "    <tr style=\"text-align: right;\">\n",
  59 |        "      <th></th>\n",
  60 |        "      <th>control_number</th>\n",
  61 |        "      <th>student1</th>\n",
  62 |        "      <th>student2</th>\n",
  63 |        "      <th>student3</th>\n",
  64 |        "      <th>advisor</th>\n",
  65 |        "      <th>university</th>\n",
  66 |        "      <th>prize</th>\n",
  67 |        "    </tr>\n",
  68 |        "  </thead>\n",
  69 |        "  <tbody>\n",
  70 |        "    <tr>\n",
  71 |        "      <th>0</th>\n",
  72 |        "      <td>2300005</td>\n",
  73 |        "      <td>Zheng Yaxin</td>\n",
  74 |        "      <td>Du Jingiu</td>\n",
  75 |        "      <td>Gao Qihang</td>\n",
  76 |        "      <td>UIC Math Modeling Team</td>\n",
  77 |        "      <td>BNU-HKBU United International College</td>\n",
  78 |        "      <td>Meritorious Winner</td>\n",
  79 |        "    </tr>\n",
  80 |        "    <tr>\n",
  81 |        "      <th>1</th>\n",
  82 |        "      <td>2300006</td>\n",
  83 |        "      <td>Wu Peixin</td>\n",
  84 |        "      <td>Chen Ningyun</td>\n",
  85 |        "      <td>Wu You</td>\n",
  86 |        "      <td>UIC Math Modeling Team</td>\n",
  87 |        "      <td>BNU-HKBU United International College</td>\n",
  88 |        "      <td>Successful Participant</td>\n",
  89 |        "    </tr>\n",
  90 |        "    <tr>\n",
  91 |        "      <th>2</th>\n",
  92 |        "      <td>2300007</td>\n",
  93 |        "      <td>Gou RuoXuan</td>\n",
  94 |        "      <td>Huang JianFei</td>\n",
  95 |        "      <td>Ye YuJun</td>\n",
  96 |        "      <td>UIC Math Modeling Team</td>\n",
  97 |        "      <td>BNU-HKBU United International College</td>\n",
  98 |        "      <td>Successful Participant</td>\n",
  99 |        "    </tr>\n",
 100 |        "    <tr>\n",
 101 |        "      <th>3</th>\n",
 102 |        "      <td>2300008</td>\n",
 103 |        "      <td>Wan Yeqian</td>\n",
 104 |        "      <td>Gan Yining</td>\n",
 105 |        "      <td>Guo Wenhao</td>\n",
 106 |        "      <td>UIC Math Modeling Team</td>\n",
 107 |        "      <td>BNU-HKBU United International College</td>\n",
 108 |        "      <td>Successful Participant</td>\n",
 109 |        "    </tr>\n",
 110 |        "    <tr>\n",
 111 |        "      <th>4</th>\n",
 112 |        "      <td>2300009</td>\n",
 113 |        "      <td>Lu Qianyu</td>\n",
 114 |        "      <td>Li Can</td>\n",
 115 |        "      <td>Zhao Xiaoxuan</td>\n",
 116 |        "      <td>UIC Math Modeling Team</td>\n",
 117 |        "      <td>BNU-HKBU United International College</td>\n",
 118 |        "      <td>Successful Participant</td>\n",
 119 |        "    </tr>\n",
 120 |        "  </tbody>\n",
 121 |        "</table>\n",
 122 |        "</div>"
 123 |       ],
 124 |       "text/plain": [
 125 |        "   control_number     student1       student2       student3  \\\n",
 126 |        "0         2300005  Zheng Yaxin      Du Jingiu     Gao Qihang   \n",
 127 |        "1         2300006    Wu Peixin   Chen Ningyun         Wu You   \n",
 128 |        "2         2300007  Gou RuoXuan  Huang JianFei       Ye YuJun   \n",
 129 |        "3         2300008   Wan Yeqian     Gan Yining     Guo Wenhao   \n",
 130 |        "4         2300009    Lu Qianyu         Li Can  Zhao Xiaoxuan   \n",
 131 |        "\n",
 132 |        "                  advisor                             university  \\\n",
 133 |        "0  UIC Math Modeling Team  BNU-HKBU United International College   \n",
 134 |        "1  UIC Math Modeling Team  BNU-HKBU United International College   \n",
 135 |        "2  UIC Math Modeling Team  BNU-HKBU United International College   \n",
 136 |        "3  UIC Math Modeling Team  BNU-HKBU United International College   \n",
 137 |        "4  UIC Math Modeling Team  BNU-HKBU United International College   \n",
 138 |        "\n",
 139 |        "                    prize  \n",
 140 |        "0      Meritorious Winner  \n",
 141 |        "1  Successful Participant  \n",
 142 |        "2  Successful Participant  \n",
 143 |        "3  Successful Participant  \n",
 144 |        "4  Successful Participant  "
 145 |       ]
 146 |      },
 147 |      "execution_count": 4,
 148 |      "metadata": {},
 149 |      "output_type": "execute_result"
 150 |     }
 151 |    ],
 152 |    "source": [
 153 |     "txtpath='./all/all_20'+str(year)+'.txt'\n",
 154 |     "csvpath='./all/all_20'+str(year)+'.csv'\n",
 155 |     "shutil.copyfile(txtpath, csvpath)\n",
 156 |     "data = pd.read_csv(csvpath)\n",
 157 |     "data=data.iloc[:,0:7]\n",
 158 |     "data.head()"
 159 |    ]
 160 |   },
 161 |   {
 162 |    "cell_type": "code",
 163 |    "execution_count": 5,
 164 |    "metadata": {
 165 |     "scrolled": true
 166 |    },
 167 |    "outputs": [
 168 |     {
 169 |      "data": {
 170 |       "text/plain": [
 171 |        "Harbin Engineering University                        580\n",
 172 |        "XIDIAN UNIVERSITY                                    448\n",
 173 |        "Beihang University                                   407\n",
 174 |        "Jilin University                                     364\n",
 175 |        "Huazhong University of Science and Technology        338\n",
 176 |        "Northwestern Polytechnical University                323\n",
 177 |        "Nanjing University of Posts and Telecommunication    298\n",
 178 |        "Dalian University of Technology                      293\n",
 179 |        "Shanghai Jiao Tong University                        263\n",
 180 |        "South China University of Technology                 228\n",
 181 |        "Hohai University                                     215\n",
 182 |        "National University of Defense Technology            207\n",
 183 |        "Northeastern University                              206\n",
 184 |        "Harbin Institute of Technology                       200\n",
 185 |        "Beijing Institute of Technology                      197\n",
 186 |        "Southwest University                                 193\n",
 187 |        "Central University of Finance and Economics          192\n",
 188 |        "Renmin University of China                           183\n",
 189 |        "Xi'an Jiaotong University                            162\n",
 190 |        "Hangzhou Normal University                           154\n",
 191 |        "Name: university, dtype: int64"
 192 |       ]
 193 |      },
 194 |      "execution_count": 5,
 195 |      "metadata": {},
 196 |      "output_type": "execute_result"
 197 |     }
 198 |    ],
 199 |    "source": [
 200 |     "univ_data=data['university'].value_counts().iloc[0:20]\n",
 201 |     "univ_data"
 202 |    ]
 203 |   },
 204 |   {
 205 |    "cell_type": "code",
 206 |    "execution_count": 6,
 207 |    "metadata": {
 208 |     "scrolled": true
 209 |    },
 210 |    "outputs": [
 211 |     {
 212 |      "data": {
 213 |       "image/png": 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\n",
 214 |       "text/plain": [
 215 |        "<Figure size 432x288 with 1 Axes>"
 216 |       ]
 217 |      },
 218 |      "metadata": {
 219 |       "needs_background": "light"
 220 |      },
 221 |      "output_type": "display_data"
 222 |     }
 223 |    ],
 224 |    "source": [
 225 |     "\n",
 226 |     "ax=univ_data.sort_values().plot.barh()\n",
 227 |     "fig=ax.get_figure()\n",
 228 |     "fig.savefig('统计结果.png',bbox_inches='tight')"
 229 |    ]
 230 |   },
 231 |   {
 232 |    "cell_type": "code",
 233 |    "execution_count": 7,
 234 |    "metadata": {},
 235 |    "outputs": [
 236 |     {
 237 |      "data": {
 238 |       "text/plain": [
 239 |        "Successful Participant     13180\n",
 240 |        "Honorable Mention           4531\n",
 241 |        "Meritorious Winner          1352\n",
 242 |        "Disqualified - P             990\n",
 243 |        "Finalist                     545\n",
 244 |        "Unsuccessful - I             177\n",
 245 |        "Not Judged                    24\n",
 246 |        "Outstanding Winner            14\n",
 247 |        "AMS Award                      6\n",
 248 |        "INFORMS Award                  5\n",
 249 |        "SIAM Award                     5\n",
 250 |        "MAA Award                      3\n",
 251 |        "COMAP Scholarship Award        2\n",
 252 |        "Leonhard Euler Award           1\n",
 253 |        "Ben Fusaro Award               1\n",
 254 |        "Vilfredo Pareto Award          1\n",
 255 |        "Rachel Carson Award            1\n",
 256 |        "Frank Giordano Award           1\n",
 257 |        "Unsuccessful - [               1\n",
 258 |        "Name: prize, dtype: int64"
 259 |       ]
 260 |      },
 261 |      "execution_count": 7,
 262 |      "metadata": {},
 263 |      "output_type": "execute_result"
 264 |     }
 265 |    ],
 266 |    "source": [
 267 |     "data['prize'].value_counts()"
 268 |    ]
 269 |   },
 270 |   {
 271 |    "cell_type": "code",
 272 |    "execution_count": 8,
 273 |    "metadata": {},
 274 |    "outputs": [
 275 |     {
 276 |      "data": {
 277 |       "text/html": [
 278 |        "<div>\n",
 279 |        "<style scoped>\n",
 280 |        "    .dataframe tbody tr th:only-of-type {\n",
 281 |        "        vertical-align: middle;\n",
 282 |        "    }\n",
 283 |        "\n",
 284 |        "    .dataframe tbody tr th {\n",
 285 |        "        vertical-align: top;\n",
 286 |        "    }\n",
 287 |        "\n",
 288 |        "    .dataframe thead th {\n",
 289 |        "        text-align: right;\n",
 290 |        "    }\n",
 291 |        "</style>\n",
 292 |        "<table border=\"1\" class=\"dataframe\">\n",
 293 |        "  <thead>\n",
 294 |        "    <tr style=\"text-align: right;\">\n",
 295 |        "      <th></th>\n",
 296 |        "      <th>control_number</th>\n",
 297 |        "      <th>student1</th>\n",
 298 |        "      <th>student2</th>\n",
 299 |        "      <th>student3</th>\n",
 300 |        "      <th>advisor</th>\n",
 301 |        "      <th>university</th>\n",
 302 |        "      <th>prize</th>\n",
 303 |        "    </tr>\n",
 304 |        "  </thead>\n",
 305 |        "  <tbody>\n",
 306 |        "    <tr>\n",
 307 |        "      <th>96</th>\n",
 308 |        "      <td>2300136</td>\n",
 309 |        "      <td>Hanzhang Zhou</td>\n",
 310 |        "      <td>Huangyii Zheng</td>\n",
 311 |        "      <td>Xiaoyang Cao</td>\n",
 312 |        "      <td>Heng Liang</td>\n",
 313 |        "      <td>Tsinghua University</td>\n",
 314 |        "      <td>INFORMS Award</td>\n",
 315 |        "    </tr>\n",
 316 |        "    <tr>\n",
 317 |        "      <th>169</th>\n",
 318 |        "      <td>2300229</td>\n",
 319 |        "      <td>Cao Honglin</td>\n",
 320 |        "      <td>Zhou Zijian</td>\n",
 321 |        "      <td>Hu Yongqi</td>\n",
 322 |        "      <td>Li Mingqi</td>\n",
 323 |        "      <td>Jniversity of Electronic Science and Technolog...</td>\n",
 324 |        "      <td>Leonhard Euler Award</td>\n",
 325 |        "    </tr>\n",
 326 |        "    <tr>\n",
 327 |        "      <th>260</th>\n",
 328 |        "      <td>2300336</td>\n",
 329 |        "      <td>Jiahao Luo</td>\n",
 330 |        "      <td>Tianyu Xiong</td>\n",
 331 |        "      <td>Yuting Zhang</td>\n",
 332 |        "      <td>Guoliang He</td>\n",
 333 |        "      <td>University of Electronic Science and Technolog...</td>\n",
 334 |        "      <td>AMS Award</td>\n",
 335 |        "    </tr>\n",
 336 |        "    <tr>\n",
 337 |        "      <th>1037</th>\n",
 338 |        "      <td>2309229</td>\n",
 339 |        "      <td>Yuhao Sun</td>\n",
 340 |        "      <td>Ziruo Wang</td>\n",
 341 |        "      <td>Shuo Zhang</td>\n",
 342 |        "      <td>Hai Jin</td>\n",
 343 |        "      <td>Beijing Institute of Technology</td>\n",
 344 |        "      <td>Ben Fusaro Award</td>\n",
 345 |        "    </tr>\n",
 346 |        "    <tr>\n",
 347 |        "      <th>1532</th>\n",
 348 |        "      <td>2309766</td>\n",
 349 |        "      <td>Carrie Cox</td>\n",
 350 |        "      <td>Jobi Lo</td>\n",
 351 |        "      <td>Elias Coppock</td>\n",
 352 |        "      <td>Wai Lau</td>\n",
 353 |        "      <td>Seattle Pacific University</td>\n",
 354 |        "      <td>MAA Award</td>\n",
 355 |        "    </tr>\n",
 356 |        "    <tr>\n",
 357 |        "      <th>2406</th>\n",
 358 |        "      <td>2310776</td>\n",
 359 |        "      <td>Duffy Anderson</td>\n",
 360 |        "      <td>Matthew Helmer</td>\n",
 361 |        "      <td>Madeline Rue</td>\n",
 362 |        "      <td>Mei Zhu</td>\n",
 363 |        "      <td>Pacific Lutheran University</td>\n",
 364 |        "      <td>MAA Award</td>\n",
 365 |        "    </tr>\n",
 366 |        "    <tr>\n",
 367 |        "      <th>2832</th>\n",
 368 |        "      <td>2311258</td>\n",
 369 |        "      <td>Haiyan Zhang</td>\n",
 370 |        "      <td>Tao Zhuang</td>\n",
 371 |        "      <td>Yunuo Lei</td>\n",
 372 |        "      <td>Qingsong Zou</td>\n",
 373 |        "      <td>XIDIAN UNIVERSITY</td>\n",
 374 |        "      <td>AMS Award</td>\n",
 375 |        "    </tr>\n",
 376 |        "    <tr>\n",
 377 |        "      <th>3077</th>\n",
 378 |        "      <td>2311517</td>\n",
 379 |        "      <td>Taining Yan</td>\n",
 380 |        "      <td>Kaiqun Wu</td>\n",
 381 |        "      <td>Lijie Chen</td>\n",
 382 |        "      <td>Taining Yan</td>\n",
 383 |        "      <td>Renmin University of China</td>\n",
 384 |        "      <td>Vilfredo Pareto Award</td>\n",
 385 |        "    </tr>\n",
 386 |        "    <tr>\n",
 387 |        "      <th>3912</th>\n",
 388 |        "      <td>2312411</td>\n",
 389 |        "      <td>Dingkai Wei</td>\n",
 390 |        "      <td>Yuecheng Wang</td>\n",
 391 |        "      <td>Weilong Zhu</td>\n",
 392 |        "      <td>Yuchao Li</td>\n",
 393 |        "      <td>Chang'an University</td>\n",
 394 |        "      <td>Rachel Carson Award</td>\n",
 395 |        "    </tr>\n",
 396 |        "    <tr>\n",
 397 |        "      <th>5561</th>\n",
 398 |        "      <td>2314151</td>\n",
 399 |        "      <td>Jing Ren</td>\n",
 400 |        "      <td>Chenyue Xia</td>\n",
 401 |        "      <td>AnyYu Pan</td>\n",
 402 |        "      <td>Guibing Guo</td>\n",
 403 |        "      <td>Northeastern University of China</td>\n",
 404 |        "      <td>COMAP Scholarship Award</td>\n",
 405 |        "    </tr>\n",
 406 |        "    <tr>\n",
 407 |        "      <th>6398</th>\n",
 408 |        "      <td>2315018</td>\n",
 409 |        "      <td>Hongyu Lang</td>\n",
 410 |        "      <td>Yutong Shao</td>\n",
 411 |        "      <td>Xiaqing Zhou</td>\n",
 412 |        "      <td>Jigao Yan</td>\n",
 413 |        "      <td>Soochow University</td>\n",
 414 |        "      <td>SIAM Award</td>\n",
 415 |        "    </tr>\n",
 416 |        "    <tr>\n",
 417 |        "      <th>6692</th>\n",
 418 |        "      <td>2315321</td>\n",
 419 |        "      <td>Baoyang Zhang</td>\n",
 420 |        "      <td>Lei Tian</td>\n",
 421 |        "      <td>Zihan Wu</td>\n",
 422 |        "      <td>Jun Lu</td>\n",
 423 |        "      <td>National University of Defense Technology</td>\n",
 424 |        "      <td>SIAM Award</td>\n",
 425 |        "    </tr>\n",
 426 |        "    <tr>\n",
 427 |        "      <th>6749</th>\n",
 428 |        "      <td>2315379</td>\n",
 429 |        "      <td>Zhu Xiangyu</td>\n",
 430 |        "      <td>Liang Katyin</td>\n",
 431 |        "      <td>Wei Xiaoqin</td>\n",
 432 |        "      <td>Wang Xiaoyin</td>\n",
 433 |        "      <td>Tiangong University</td>\n",
 434 |        "      <td>Frank Giordano Award</td>\n",
 435 |        "    </tr>\n",
 436 |        "    <tr>\n",
 437 |        "      <th>8305</th>\n",
 438 |        "      <td>2316994</td>\n",
 439 |        "      <td>Zichen Cao</td>\n",
 440 |        "      <td>Yunyujie Du</td>\n",
 441 |        "      <td>Xinyi Jiang</td>\n",
 442 |        "      <td>Xiaofeng Gao</td>\n",
 443 |        "      <td>Shanghai Jiao Tong University</td>\n",
 444 |        "      <td>INFORMS Award</td>\n",
 445 |        "    </tr>\n",
 446 |        "    <tr>\n",
 447 |        "      <th>9488</th>\n",
 448 |        "      <td>2318300</td>\n",
 449 |        "      <td>Enzo Moraes Mescall</td>\n",
 450 |        "      <td>Nicolas Salazar</td>\n",
 451 |        "      <td>Erik Mendes Novak</td>\n",
 452 |        "      <td>Maria-Veronica Ciocanel</td>\n",
 453 |        "      <td>Duke University</td>\n",
 454 |        "      <td>COMAP Scholarship Award</td>\n",
 455 |        "    </tr>\n",
 456 |        "    <tr>\n",
 457 |        "      <th>10156</th>\n",
 458 |        "      <td>2318982</td>\n",
 459 |        "      <td>Kehan Tong</td>\n",
 460 |        "      <td>Yuqi Yang</td>\n",
 461 |        "      <td>Yan Du</td>\n",
 462 |        "      <td>Qiang Yao</td>\n",
 463 |        "      <td>East China Normal University</td>\n",
 464 |        "      <td>SIAM Award</td>\n",
 465 |        "    </tr>\n",
 466 |        "    <tr>\n",
 467 |        "      <th>10351</th>\n",
 468 |        "      <td>2301192</td>\n",
 469 |        "      <td>Jianjie Zheng</td>\n",
 470 |        "      <td>Weikang Li</td>\n",
 471 |        "      <td>Yao Hou</td>\n",
 472 |        "      <td>Lei Liu</td>\n",
 473 |        "      <td>Zhejiang University of Finance and Economics</td>\n",
 474 |        "      <td>AMS Award</td>\n",
 475 |        "    </tr>\n",
 476 |        "    <tr>\n",
 477 |        "      <th>12128</th>\n",
 478 |        "      <td>2320131</td>\n",
 479 |        "      <td>Song Yushuai</td>\n",
 480 |        "      <td>Zhao Chenxia</td>\n",
 481 |        "      <td>Hu Yunbo</td>\n",
 482 |        "      <td>Song Yushuai</td>\n",
 483 |        "      <td>Tianjin University</td>\n",
 484 |        "      <td>SIAM Award</td>\n",
 485 |        "    </tr>\n",
 486 |        "    <tr>\n",
 487 |        "      <th>14508</th>\n",
 488 |        "      <td>2322645</td>\n",
 489 |        "      <td>Steven Sofos DiSilvio</td>\n",
 490 |        "      <td>Anthony Ozerov</td>\n",
 491 |        "      <td>Leon Zhou</td>\n",
 492 |        "      <td>George Dragomir</td>\n",
 493 |        "      <td>Columbia University</td>\n",
 494 |        "      <td>INFORMS Award</td>\n",
 495 |        "    </tr>\n",
 496 |        "    <tr>\n",
 497 |        "      <th>14546</th>\n",
 498 |        "      <td>2322687</td>\n",
 499 |        "      <td>Caden Lin</td>\n",
 500 |        "      <td>Maksym Bondarenko</td>\n",
 501 |        "      <td>Phillip M Yan</td>\n",
 502 |        "      <td>George Dragomir</td>\n",
 503 |        "      <td>Columbia University</td>\n",
 504 |        "      <td>MAA Award</td>\n",
 505 |        "    </tr>\n",
 506 |        "    <tr>\n",
 507 |        "      <th>16300</th>\n",
 508 |        "      <td>2303950</td>\n",
 509 |        "      <td>Yuewen Yang</td>\n",
 510 |        "      <td>Yifan Qi</td>\n",
 511 |        "      <td>Yuechuan Ma</td>\n",
 512 |        "      <td>Bo Wang</td>\n",
 513 |        "      <td>Beiing Institute of Technology</td>\n",
 514 |        "      <td>SIAM Award</td>\n",
 515 |        "    </tr>\n",
 516 |        "    <tr>\n",
 517 |        "      <th>16313</th>\n",
 518 |        "      <td>2303967</td>\n",
 519 |        "      <td>Jingjia Peng</td>\n",
 520 |        "      <td>Xinyi Huang</td>\n",
 521 |        "      <td>Xuejun Zhang</td>\n",
 522 |        "      <td>Xiaofeng Gao</td>\n",
 523 |        "      <td>Shanghai Jiao Tong University</td>\n",
 524 |        "      <td>AMS Award</td>\n",
 525 |        "    </tr>\n",
 526 |        "    <tr>\n",
 527 |        "      <th>17181</th>\n",
 528 |        "      <td>2304962</td>\n",
 529 |        "      <td>Zhu Xiaotian</td>\n",
 530 |        "      <td>Liu Jingwen</td>\n",
 531 |        "      <td>Liu Xinjie</td>\n",
 532 |        "      <td>Chen Hua</td>\n",
 533 |        "      <td>China University of Petroleum</td>\n",
 534 |        "      <td>INFORMS Award</td>\n",
 535 |        "    </tr>\n",
 536 |        "    <tr>\n",
 537 |        "      <th>17912</th>\n",
 538 |        "      <td>2305794</td>\n",
 539 |        "      <td>Zhang Chuxiao</td>\n",
 540 |        "      <td>Wang Chenghan</td>\n",
 541 |        "      <td>Zhang Ying</td>\n",
 542 |        "      <td>Yuli ZHANG</td>\n",
 543 |        "      <td>Beijing Institute of Technology</td>\n",
 544 |        "      <td>INFORMS Award</td>\n",
 545 |        "    </tr>\n",
 546 |        "    <tr>\n",
 547 |        "      <th>19308</th>\n",
 548 |        "      <td>2307336</td>\n",
 549 |        "      <td>Zhaohong Liao</td>\n",
 550 |        "      <td>Enyang Li</td>\n",
 551 |        "      <td>Yingyi Liu</td>\n",
 552 |        "      <td>Zhi Gao</td>\n",
 553 |        "      <td>Wuhan University</td>\n",
 554 |        "      <td>AMS Award</td>\n",
 555 |        "    </tr>\n",
 556 |        "    <tr>\n",
 557 |        "      <th>20749</th>\n",
 558 |        "      <td>2308899</td>\n",
 559 |        "      <td>Ruomu Li</td>\n",
 560 |        "      <td>Chenyu Ma</td>\n",
 561 |        "      <td>Mengyuan Dai</td>\n",
 562 |        "      <td>Dongxue Yan</td>\n",
 563 |        "      <td>Nanjing University of Posts and Telecommunication</td>\n",
 564 |        "      <td>AMS Award</td>\n",
 565 |        "    </tr>\n",
 566 |        "  </tbody>\n",
 567 |        "</table>\n",
 568 |        "</div>"
 569 |       ],
 570 |       "text/plain": [
 571 |        "       control_number               student1           student2  \\\n",
 572 |        "96            2300136          Hanzhang Zhou     Huangyii Zheng   \n",
 573 |        "169           2300229            Cao Honglin        Zhou Zijian   \n",
 574 |        "260           2300336             Jiahao Luo       Tianyu Xiong   \n",
 575 |        "1037          2309229              Yuhao Sun         Ziruo Wang   \n",
 576 |        "1532          2309766             Carrie Cox            Jobi Lo   \n",
 577 |        "2406          2310776         Duffy Anderson     Matthew Helmer   \n",
 578 |        "2832          2311258           Haiyan Zhang         Tao Zhuang   \n",
 579 |        "3077          2311517            Taining Yan          Kaiqun Wu   \n",
 580 |        "3912          2312411            Dingkai Wei      Yuecheng Wang   \n",
 581 |        "5561          2314151               Jing Ren        Chenyue Xia   \n",
 582 |        "6398          2315018            Hongyu Lang        Yutong Shao   \n",
 583 |        "6692          2315321          Baoyang Zhang           Lei Tian   \n",
 584 |        "6749          2315379            Zhu Xiangyu       Liang Katyin   \n",
 585 |        "8305          2316994             Zichen Cao        Yunyujie Du   \n",
 586 |        "9488          2318300    Enzo Moraes Mescall    Nicolas Salazar   \n",
 587 |        "10156         2318982             Kehan Tong          Yuqi Yang   \n",
 588 |        "10351         2301192          Jianjie Zheng         Weikang Li   \n",
 589 |        "12128         2320131           Song Yushuai       Zhao Chenxia   \n",
 590 |        "14508         2322645  Steven Sofos DiSilvio     Anthony Ozerov   \n",
 591 |        "14546         2322687              Caden Lin  Maksym Bondarenko   \n",
 592 |        "16300         2303950            Yuewen Yang           Yifan Qi   \n",
 593 |        "16313         2303967           Jingjia Peng        Xinyi Huang   \n",
 594 |        "17181         2304962           Zhu Xiaotian        Liu Jingwen   \n",
 595 |        "17912         2305794          Zhang Chuxiao      Wang Chenghan   \n",
 596 |        "19308         2307336          Zhaohong Liao          Enyang Li   \n",
 597 |        "20749         2308899               Ruomu Li          Chenyu Ma   \n",
 598 |        "\n",
 599 |        "                student3                  advisor  \\\n",
 600 |        "96          Xiaoyang Cao               Heng Liang   \n",
 601 |        "169            Hu Yongqi                Li Mingqi   \n",
 602 |        "260         Yuting Zhang              Guoliang He   \n",
 603 |        "1037          Shuo Zhang                  Hai Jin   \n",
 604 |        "1532       Elias Coppock                  Wai Lau   \n",
 605 |        "2406        Madeline Rue                  Mei Zhu   \n",
 606 |        "2832           Yunuo Lei             Qingsong Zou   \n",
 607 |        "3077          Lijie Chen              Taining Yan   \n",
 608 |        "3912         Weilong Zhu                Yuchao Li   \n",
 609 |        "5561           AnyYu Pan              Guibing Guo   \n",
 610 |        "6398        Xiaqing Zhou                Jigao Yan   \n",
 611 |        "6692            Zihan Wu                   Jun Lu   \n",
 612 |        "6749         Wei Xiaoqin             Wang Xiaoyin   \n",
 613 |        "8305         Xinyi Jiang             Xiaofeng Gao   \n",
 614 |        "9488   Erik Mendes Novak  Maria-Veronica Ciocanel   \n",
 615 |        "10156             Yan Du                Qiang Yao   \n",
 616 |        "10351            Yao Hou                  Lei Liu   \n",
 617 |        "12128           Hu Yunbo             Song Yushuai   \n",
 618 |        "14508          Leon Zhou          George Dragomir   \n",
 619 |        "14546      Phillip M Yan          George Dragomir   \n",
 620 |        "16300        Yuechuan Ma                  Bo Wang   \n",
 621 |        "16313       Xuejun Zhang             Xiaofeng Gao   \n",
 622 |        "17181         Liu Xinjie                 Chen Hua   \n",
 623 |        "17912         Zhang Ying               Yuli ZHANG   \n",
 624 |        "19308         Yingyi Liu                  Zhi Gao   \n",
 625 |        "20749       Mengyuan Dai              Dongxue Yan   \n",
 626 |        "\n",
 627 |        "                                              university  \\\n",
 628 |        "96                                   Tsinghua University   \n",
 629 |        "169    Jniversity of Electronic Science and Technolog...   \n",
 630 |        "260    University of Electronic Science and Technolog...   \n",
 631 |        "1037                     Beijing Institute of Technology   \n",
 632 |        "1532                          Seattle Pacific University   \n",
 633 |        "2406                         Pacific Lutheran University   \n",
 634 |        "2832                                   XIDIAN UNIVERSITY   \n",
 635 |        "3077                          Renmin University of China   \n",
 636 |        "3912                                 Chang'an University   \n",
 637 |        "5561                    Northeastern University of China   \n",
 638 |        "6398                                  Soochow University   \n",
 639 |        "6692           National University of Defense Technology   \n",
 640 |        "6749                                 Tiangong University   \n",
 641 |        "8305                       Shanghai Jiao Tong University   \n",
 642 |        "9488                                     Duke University   \n",
 643 |        "10156                       East China Normal University   \n",
 644 |        "10351       Zhejiang University of Finance and Economics   \n",
 645 |        "12128                                 Tianjin University   \n",
 646 |        "14508                                Columbia University   \n",
 647 |        "14546                                Columbia University   \n",
 648 |        "16300                     Beiing Institute of Technology   \n",
 649 |        "16313                      Shanghai Jiao Tong University   \n",
 650 |        "17181                      China University of Petroleum   \n",
 651 |        "17912                    Beijing Institute of Technology   \n",
 652 |        "19308                                   Wuhan University   \n",
 653 |        "20749  Nanjing University of Posts and Telecommunication   \n",
 654 |        "\n",
 655 |        "                         prize  \n",
 656 |        "96               INFORMS Award  \n",
 657 |        "169       Leonhard Euler Award  \n",
 658 |        "260                  AMS Award  \n",
 659 |        "1037          Ben Fusaro Award  \n",
 660 |        "1532                 MAA Award  \n",
 661 |        "2406                 MAA Award  \n",
 662 |        "2832                 AMS Award  \n",
 663 |        "3077     Vilfredo Pareto Award  \n",
 664 |        "3912       Rachel Carson Award  \n",
 665 |        "5561   COMAP Scholarship Award  \n",
 666 |        "6398                SIAM Award  \n",
 667 |        "6692                SIAM Award  \n",
 668 |        "6749      Frank Giordano Award  \n",
 669 |        "8305             INFORMS Award  \n",
 670 |        "9488   COMAP Scholarship Award  \n",
 671 |        "10156               SIAM Award  \n",
 672 |        "10351                AMS Award  \n",
 673 |        "12128               SIAM Award  \n",
 674 |        "14508            INFORMS Award  \n",
 675 |        "14546                MAA Award  \n",
 676 |        "16300               SIAM Award  \n",
 677 |        "16313                AMS Award  \n",
 678 |        "17181            INFORMS Award  \n",
 679 |        "17912            INFORMS Award  \n",
 680 |        "19308                AMS Award  \n",
 681 |        "20749                AMS Award  "
 682 |       ]
 683 |      },
 684 |      "execution_count": 8,
 685 |      "metadata": {},
 686 |      "output_type": "execute_result"
 687 |     }
 688 |    ],
 689 |    "source": [
 690 |     "avard_result=data.loc[(data['prize'].str.contains('Award'))]\n",
 691 |     "avard_result"
 692 |    ]
 693 |   },
 694 |   {
 695 |    "cell_type": "code",
 696 |    "execution_count": 9,
 697 |    "metadata": {
 698 |     "scrolled": false
 699 |    },
 700 |    "outputs": [
 701 |     {
 702 |      "data": {
 703 |       "text/html": [
 704 |        "<div>\n",
 705 |        "<style scoped>\n",
 706 |        "    .dataframe tbody tr th:only-of-type {\n",
 707 |        "        vertical-align: middle;\n",
 708 |        "    }\n",
 709 |        "\n",
 710 |        "    .dataframe tbody tr th {\n",
 711 |        "        vertical-align: top;\n",
 712 |        "    }\n",
 713 |        "\n",
 714 |        "    .dataframe thead th {\n",
 715 |        "        text-align: right;\n",
 716 |        "    }\n",
 717 |        "</style>\n",
 718 |        "<table border=\"1\" class=\"dataframe\">\n",
 719 |        "  <thead>\n",
 720 |        "    <tr style=\"text-align: right;\">\n",
 721 |        "      <th></th>\n",
 722 |        "      <th>control_number</th>\n",
 723 |        "      <th>student1</th>\n",
 724 |        "      <th>student2</th>\n",
 725 |        "      <th>student3</th>\n",
 726 |        "      <th>advisor</th>\n",
 727 |        "      <th>university</th>\n",
 728 |        "      <th>prize</th>\n",
 729 |        "    </tr>\n",
 730 |        "  </thead>\n",
 731 |        "  <tbody>\n",
 732 |        "    <tr>\n",
 733 |        "      <th>157</th>\n",
 734 |        "      <td>2300214</td>\n",
 735 |        "      <td>Hao Yang</td>\n",
 736 |        "      <td>Yuxin Hu</td>\n",
 737 |        "      <td>Di Liu</td>\n",
 738 |        "      <td>ZhiHong Yang</td>\n",
 739 |        "      <td>Huazhong University of Science and Technology</td>\n",
 740 |        "      <td>Disqualified - P</td>\n",
 741 |        "    </tr>\n",
 742 |        "    <tr>\n",
 743 |        "      <th>165</th>\n",
 744 |        "      <td>2300223</td>\n",
 745 |        "      <td>Yingzhong Hua</td>\n",
 746 |        "      <td>Yanwei Tan</td>\n",
 747 |        "      <td>Jichen Bian</td>\n",
 748 |        "      <td>Yingzhong Hua</td>\n",
 749 |        "      <td>Huazhong University of Science and Technology</td>\n",
 750 |        "      <td>Successful Participant</td>\n",
 751 |        "    </tr>\n",
 752 |        "    <tr>\n",
 753 |        "      <th>588</th>\n",
 754 |        "      <td>2300708</td>\n",
 755 |        "      <td>Xiang Li</td>\n",
 756 |        "      <td>Yu Hu</td>\n",
 757 |        "      <td>JunHang Ma</td>\n",
 758 |        "      <td>Xiang Li</td>\n",
 759 |        "      <td>Huazhong University of Science and Technology</td>\n",
 760 |        "      <td>Successful Participant</td>\n",
 761 |        "    </tr>\n",
 762 |        "    <tr>\n",
 763 |        "      <th>637</th>\n",
 764 |        "      <td>2300772</td>\n",
 765 |        "      <td>Yitian Han</td>\n",
 766 |        "      <td>Anyang Li</td>\n",
 767 |        "      <td>Ruoxin Wu</td>\n",
 768 |        "      <td>Gang Xu</td>\n",
 769 |        "      <td>Huazhong University of Science and Technology</td>\n",
 770 |        "      <td>Successful Participant</td>\n",
 771 |        "    </tr>\n",
 772 |        "    <tr>\n",
 773 |        "      <th>722</th>\n",
 774 |        "      <td>2300883</td>\n",
 775 |        "      <td>Lesi Hu</td>\n",
 776 |        "      <td>Hannan Chen</td>\n",
 777 |        "      <td>Yulang Hong</td>\n",
 778 |        "      <td>Suyang Ma</td>\n",
 779 |        "      <td>Huazhong University of Science and Technology</td>\n",
 780 |        "      <td>Successful Participant</td>\n",
 781 |        "    </tr>\n",
 782 |        "    <tr>\n",
 783 |        "      <th>...</th>\n",
 784 |        "      <td>...</td>\n",
 785 |        "      <td>...</td>\n",
 786 |        "      <td>...</td>\n",
 787 |        "      <td>...</td>\n",
 788 |        "      <td>...</td>\n",
 789 |        "      <td>...</td>\n",
 790 |        "      <td>...</td>\n",
 791 |        "    </tr>\n",
 792 |        "    <tr>\n",
 793 |        "      <th>20816</th>\n",
 794 |        "      <td>2308976</td>\n",
 795 |        "      <td>Xiaokai Zhang</td>\n",
 796 |        "      <td>Muchu Chen</td>\n",
 797 |        "      <td>Bowen Zhou</td>\n",
 798 |        "      <td>Chen Yu</td>\n",
 799 |        "      <td>Huazhong University of Science and Technology</td>\n",
 800 |        "      <td>Honorable Mention</td>\n",
 801 |        "    </tr>\n",
 802 |        "    <tr>\n",
 803 |        "      <th>20820</th>\n",
 804 |        "      <td>2308980</td>\n",
 805 |        "      <td>Xuebin Zhou</td>\n",
 806 |        "      <td>Yutong Ding</td>\n",
 807 |        "      <td>Chenmin Ke</td>\n",
 808 |        "      <td>Haoyuan Xu</td>\n",
 809 |        "      <td>Huazhong University of Science and Technology</td>\n",
 810 |        "      <td>Honorable Mention</td>\n",
 811 |        "    </tr>\n",
 812 |        "    <tr>\n",
 813 |        "      <th>20822</th>\n",
 814 |        "      <td>2308982</td>\n",
 815 |        "      <td>Jiongfan Zhu</td>\n",
 816 |        "      <td>Yilong Chen</td>\n",
 817 |        "      <td>Yuezhang Long</td>\n",
 818 |        "      <td>Jiongfan Zhu</td>\n",
 819 |        "      <td>Huazhong University of Science and Technology</td>\n",
 820 |        "      <td>Successful Participant</td>\n",
 821 |        "    </tr>\n",
 822 |        "    <tr>\n",
 823 |        "      <th>20826</th>\n",
 824 |        "      <td>2308986</td>\n",
 825 |        "      <td>Lihui Zhang</td>\n",
 826 |        "      <td>Xin Hu</td>\n",
 827 |        "      <td>Chenyang Xiong</td>\n",
 828 |        "      <td>Li Li</td>\n",
 829 |        "      <td>Huazhong University of Science and Technology</td>\n",
 830 |        "      <td>Finalist</td>\n",
 831 |        "    </tr>\n",
 832 |        "    <tr>\n",
 833 |        "      <th>20827</th>\n",
 834 |        "      <td>2308987</td>\n",
 835 |        "      <td>Ziheng Huang</td>\n",
 836 |        "      <td>Zihe Liu</td>\n",
 837 |        "      <td>Wensheng Yang</td>\n",
 838 |        "      <td>Ziheng Huang</td>\n",
 839 |        "      <td>Huazhong University of Science and Technology</td>\n",
 840 |        "      <td>Successful Participant</td>\n",
 841 |        "    </tr>\n",
 842 |        "  </tbody>\n",
 843 |        "</table>\n",
 844 |        "<p>338 rows × 7 columns</p>\n",
 845 |        "</div>"
 846 |       ],
 847 |       "text/plain": [
 848 |        "       control_number       student1     student2        student3  \\\n",
 849 |        "157           2300214       Hao Yang     Yuxin Hu          Di Liu   \n",
 850 |        "165           2300223  Yingzhong Hua   Yanwei Tan     Jichen Bian   \n",
 851 |        "588           2300708       Xiang Li        Yu Hu      JunHang Ma   \n",
 852 |        "637           2300772     Yitian Han    Anyang Li       Ruoxin Wu   \n",
 853 |        "722           2300883        Lesi Hu  Hannan Chen     Yulang Hong   \n",
 854 |        "...               ...            ...          ...             ...   \n",
 855 |        "20816         2308976  Xiaokai Zhang   Muchu Chen      Bowen Zhou   \n",
 856 |        "20820         2308980    Xuebin Zhou  Yutong Ding      Chenmin Ke   \n",
 857 |        "20822         2308982   Jiongfan Zhu  Yilong Chen   Yuezhang Long   \n",
 858 |        "20826         2308986    Lihui Zhang       Xin Hu  Chenyang Xiong   \n",
 859 |        "20827         2308987   Ziheng Huang     Zihe Liu   Wensheng Yang   \n",
 860 |        "\n",
 861 |        "             advisor                                     university  \\\n",
 862 |        "157     ZhiHong Yang  Huazhong University of Science and Technology   \n",
 863 |        "165    Yingzhong Hua  Huazhong University of Science and Technology   \n",
 864 |        "588         Xiang Li  Huazhong University of Science and Technology   \n",
 865 |        "637          Gang Xu  Huazhong University of Science and Technology   \n",
 866 |        "722        Suyang Ma  Huazhong University of Science and Technology   \n",
 867 |        "...              ...                                            ...   \n",
 868 |        "20816        Chen Yu  Huazhong University of Science and Technology   \n",
 869 |        "20820     Haoyuan Xu  Huazhong University of Science and Technology   \n",
 870 |        "20822   Jiongfan Zhu  Huazhong University of Science and Technology   \n",
 871 |        "20826          Li Li  Huazhong University of Science and Technology   \n",
 872 |        "20827   Ziheng Huang  Huazhong University of Science and Technology   \n",
 873 |        "\n",
 874 |        "                        prize  \n",
 875 |        "157          Disqualified - P  \n",
 876 |        "165    Successful Participant  \n",
 877 |        "588    Successful Participant  \n",
 878 |        "637    Successful Participant  \n",
 879 |        "722    Successful Participant  \n",
 880 |        "...                       ...  \n",
 881 |        "20816       Honorable Mention  \n",
 882 |        "20820       Honorable Mention  \n",
 883 |        "20822  Successful Participant  \n",
 884 |        "20826                Finalist  \n",
 885 |        "20827  Successful Participant  \n",
 886 |        "\n",
 887 |        "[338 rows x 7 columns]"
 888 |       ]
 889 |      },
 890 |      "execution_count": 9,
 891 |      "metadata": {},
 892 |      "output_type": "execute_result"
 893 |     }
 894 |    ],
 895 |    "source": [
 896 |     "your_univ_result=data.loc[data['university']==your_university]\n",
 897 |     "your_univ_result"
 898 |    ]
 899 |   },
 900 |   {
 901 |    "cell_type": "code",
 902 |    "execution_count": 10,
 903 |    "metadata": {
 904 |     "scrolled": true
 905 |    },
 906 |    "outputs": [
 907 |     {
 908 |      "data": {
 909 |       "text/plain": [
 910 |        "Successful Participant    223\n",
 911 |        "Honorable Mention          72\n",
 912 |        "Meritorious Winner         20\n",
 913 |        "Disqualified - P           14\n",
 914 |        "Finalist                    8\n",
 915 |        "Unsuccessful - I            1\n",
 916 |        "Name: prize, dtype: int64"
 917 |       ]
 918 |      },
 919 |      "execution_count": 10,
 920 |      "metadata": {},
 921 |      "output_type": "execute_result"
 922 |     }
 923 |    ],
 924 |    "source": [
 925 |     "your_univ_result['prize'].value_counts()"
 926 |    ]
 927 |   },
 928 |   {
 929 |    "cell_type": "code",
 930 |    "execution_count": 11,
 931 |    "metadata": {
 932 |     "scrolled": false
 933 |    },
 934 |    "outputs": [
 935 |     {
 936 |      "data": {
 937 |       "text/html": [
 938 |        "<div>\n",
 939 |        "<style scoped>\n",
 940 |        "    .dataframe tbody tr th:only-of-type {\n",
 941 |        "        vertical-align: middle;\n",
 942 |        "    }\n",
 943 |        "\n",
 944 |        "    .dataframe tbody tr th {\n",
 945 |        "        vertical-align: top;\n",
 946 |        "    }\n",
 947 |        "\n",
 948 |        "    .dataframe thead th {\n",
 949 |        "        text-align: right;\n",
 950 |        "    }\n",
 951 |        "</style>\n",
 952 |        "<table border=\"1\" class=\"dataframe\">\n",
 953 |        "  <thead>\n",
 954 |        "    <tr style=\"text-align: right;\">\n",
 955 |        "      <th></th>\n",
 956 |        "      <th>control_number</th>\n",
 957 |        "      <th>student1</th>\n",
 958 |        "      <th>student2</th>\n",
 959 |        "      <th>student3</th>\n",
 960 |        "      <th>advisor</th>\n",
 961 |        "      <th>university</th>\n",
 962 |        "      <th>prize</th>\n",
 963 |        "    </tr>\n",
 964 |        "  </thead>\n",
 965 |        "  <tbody>\n",
 966 |        "  </tbody>\n",
 967 |        "</table>\n",
 968 |        "</div>"
 969 |       ],
 970 |       "text/plain": [
 971 |        "Empty DataFrame\n",
 972 |        "Columns: [control_number, student1, student2, student3, advisor, university, prize]\n",
 973 |        "Index: []"
 974 |       ]
 975 |      },
 976 |      "execution_count": 11,
 977 |      "metadata": {},
 978 |      "output_type": "execute_result"
 979 |     }
 980 |    ],
 981 |    "source": [
 982 |     "prize_result=your_univ_result.loc[(your_univ_result['prize']=='Outstanding Winner') | (your_univ_result['prize'].str.contains('Award'))]\n",
 983 |     "prize_result"
 984 |    ]
 985 |   },
 986 |   {
 987 |    "cell_type": "code",
 988 |    "execution_count": null,
 989 |    "metadata": {},
 990 |    "outputs": [],
 991 |    "source": []
 992 |   },
 993 |   {
 994 |    "cell_type": "code",
 995 |    "execution_count": 12,
 996 |    "metadata": {},
 997 |    "outputs": [
 998 |     {
 999 |      "data": {
1000 |       "text/html": [
1001 |        "<div>\n",
1002 |        "<style scoped>\n",
1003 |        "    .dataframe tbody tr th:only-of-type {\n",
1004 |        "        vertical-align: middle;\n",
1005 |        "    }\n",
1006 |        "\n",
1007 |        "    .dataframe tbody tr th {\n",
1008 |        "        vertical-align: top;\n",
1009 |        "    }\n",
1010 |        "\n",
1011 |        "    .dataframe thead th {\n",
1012 |        "        text-align: right;\n",
1013 |        "    }\n",
1014 |        "</style>\n",
1015 |        "<table border=\"1\" class=\"dataframe\">\n",
1016 |        "  <thead>\n",
1017 |        "    <tr style=\"text-align: right;\">\n",
1018 |        "      <th></th>\n",
1019 |        "      <th>control_number</th>\n",
1020 |        "      <th>student1</th>\n",
1021 |        "      <th>student2</th>\n",
1022 |        "      <th>student3</th>\n",
1023 |        "      <th>advisor</th>\n",
1024 |        "      <th>university</th>\n",
1025 |        "      <th>prize</th>\n",
1026 |        "    </tr>\n",
1027 |        "  </thead>\n",
1028 |        "  <tbody>\n",
1029 |        "    <tr>\n",
1030 |        "      <th>2859</th>\n",
1031 |        "      <td>2311286</td>\n",
1032 |        "      <td>Shituo Ma</td>\n",
1033 |        "      <td>Anqi Liu</td>\n",
1034 |        "      <td>Zixiong Wang</td>\n",
1035 |        "      <td>Shituo Ma</td>\n",
1036 |        "      <td>Huazhong University of Science and Technology</td>\n",
1037 |        "      <td>Finalist</td>\n",
1038 |        "    </tr>\n",
1039 |        "    <tr>\n",
1040 |        "      <th>4385</th>\n",
1041 |        "      <td>2312921</td>\n",
1042 |        "      <td>Fanjun Kong</td>\n",
1043 |        "      <td>Chenglong Zeng</td>\n",
1044 |        "      <td>Di Wu</td>\n",
1045 |        "      <td>Kong Fanjun</td>\n",
1046 |        "      <td>Huazhong University of Science and Technology</td>\n",
1047 |        "      <td>Finalist</td>\n",
1048 |        "    </tr>\n",
1049 |        "    <tr>\n",
1050 |        "      <th>4670</th>\n",
1051 |        "      <td>2313212</td>\n",
1052 |        "      <td>Chen Yihua</td>\n",
1053 |        "      <td>Lv Xinsheng</td>\n",
1054 |        "      <td>Lin JunJie</td>\n",
1055 |        "      <td>Yang Kai</td>\n",
1056 |        "      <td>Huazhong University of Science and Technology</td>\n",
1057 |        "      <td>Finalist</td>\n",
1058 |        "    </tr>\n",
1059 |        "    <tr>\n",
1060 |        "      <th>4952</th>\n",
1061 |        "      <td>2313511</td>\n",
1062 |        "      <td>Sitong Zheng</td>\n",
1063 |        "      <td>Yuanmeng Shan</td>\n",
1064 |        "      <td>Ziying Chen</td>\n",
1065 |        "      <td>Zhao Pan</td>\n",
1066 |        "      <td>Huazhong University of Science and Technology</td>\n",
1067 |        "      <td>Finalist</td>\n",
1068 |        "    </tr>\n",
1069 |        "    <tr>\n",
1070 |        "      <th>19632</th>\n",
1071 |        "      <td>2307685</td>\n",
1072 |        "      <td>Xiangqian Yan</td>\n",
1073 |        "      <td>Keyi Chen</td>\n",
1074 |        "      <td>Ling Luo</td>\n",
1075 |        "      <td>Haoyuan Xu</td>\n",
1076 |        "      <td>Huazhong University of Science and Technology</td>\n",
1077 |        "      <td>Finalist</td>\n",
1078 |        "    </tr>\n",
1079 |        "    <tr>\n",
1080 |        "      <th>19692</th>\n",
1081 |        "      <td>2307750</td>\n",
1082 |        "      <td>Zuoming Fu</td>\n",
1083 |        "      <td>Hatyue Chen</td>\n",
1084 |        "      <td>Haoran Zhu</td>\n",
1085 |        "      <td>Zuoming Fu</td>\n",
1086 |        "      <td>Huazhong University of Science and Technology</td>\n",
1087 |        "      <td>Finalist</td>\n",
1088 |        "    </tr>\n",
1089 |        "    <tr>\n",
1090 |        "      <th>20752</th>\n",
1091 |        "      <td>2308903</td>\n",
1092 |        "      <td>Chenshen Mao</td>\n",
1093 |        "      <td>Zhixiong Xia</td>\n",
1094 |        "      <td>Shuning Luo</td>\n",
1095 |        "      <td>Haoyuan Xu</td>\n",
1096 |        "      <td>Huazhong University of Science and Technology</td>\n",
1097 |        "      <td>Finalist</td>\n",
1098 |        "    </tr>\n",
1099 |        "    <tr>\n",
1100 |        "      <th>20826</th>\n",
1101 |        "      <td>2308986</td>\n",
1102 |        "      <td>Lihui Zhang</td>\n",
1103 |        "      <td>Xin Hu</td>\n",
1104 |        "      <td>Chenyang Xiong</td>\n",
1105 |        "      <td>Li Li</td>\n",
1106 |        "      <td>Huazhong University of Science and Technology</td>\n",
1107 |        "      <td>Finalist</td>\n",
1108 |        "    </tr>\n",
1109 |        "  </tbody>\n",
1110 |        "</table>\n",
1111 |        "</div>"
1112 |       ],
1113 |       "text/plain": [
1114 |        "       control_number       student1        student2        student3  \\\n",
1115 |        "2859          2311286      Shituo Ma        Anqi Liu    Zixiong Wang   \n",
1116 |        "4385          2312921    Fanjun Kong  Chenglong Zeng           Di Wu   \n",
1117 |        "4670          2313212     Chen Yihua     Lv Xinsheng      Lin JunJie   \n",
1118 |        "4952          2313511   Sitong Zheng   Yuanmeng Shan     Ziying Chen   \n",
1119 |        "19632         2307685  Xiangqian Yan       Keyi Chen        Ling Luo   \n",
1120 |        "19692         2307750     Zuoming Fu     Hatyue Chen      Haoran Zhu   \n",
1121 |        "20752         2308903   Chenshen Mao    Zhixiong Xia     Shuning Luo   \n",
1122 |        "20826         2308986    Lihui Zhang          Xin Hu  Chenyang Xiong   \n",
1123 |        "\n",
1124 |        "           advisor                                     university     prize  \n",
1125 |        "2859     Shituo Ma  Huazhong University of Science and Technology  Finalist  \n",
1126 |        "4385   Kong Fanjun  Huazhong University of Science and Technology  Finalist  \n",
1127 |        "4670      Yang Kai  Huazhong University of Science and Technology  Finalist  \n",
1128 |        "4952      Zhao Pan  Huazhong University of Science and Technology  Finalist  \n",
1129 |        "19632   Haoyuan Xu  Huazhong University of Science and Technology  Finalist  \n",
1130 |        "19692   Zuoming Fu  Huazhong University of Science and Technology  Finalist  \n",
1131 |        "20752   Haoyuan Xu  Huazhong University of Science and Technology  Finalist  \n",
1132 |        "20826        Li Li  Huazhong University of Science and Technology  Finalist  "
1133 |       ]
1134 |      },
1135 |      "execution_count": 12,
1136 |      "metadata": {},
1137 |      "output_type": "execute_result"
1138 |     }
1139 |    ],
1140 |    "source": [
1141 |     "prize_result=your_univ_result.loc[your_univ_result['prize']=='Finalist']\n",
1142 |     "prize_result"
1143 |    ]
1144 |   },
1145 |   {
1146 |    "cell_type": "code",
1147 |    "execution_count": null,
1148 |    "metadata": {},
1149 |    "outputs": [],
1150 |    "source": []
1151 |   },
1152 |   {
1153 |    "cell_type": "code",
1154 |    "execution_count": null,
1155 |    "metadata": {},
1156 |    "outputs": [],
1157 |    "source": []
1158 |   }
1159 |  ],
1160 |  "metadata": {
1161 |   "kernelspec": {
1162 |    "display_name": "Python 3",
1163 |    "language": "python",
1164 |    "name": "python3"
1165 |   },
1166 |   "language_info": {
1167 |    "codemirror_mode": {
1168 |     "name": "ipython",
1169 |     "version": 3
1170 |    },
1171 |    "file_extension": ".py",
1172 |    "mimetype": "text/x-python",
1173 |    "name": "python",
1174 |    "nbconvert_exporter": "python",
1175 |    "pygments_lexer": "ipython3",
1176 |    "version": "3.7.6"
1177 |   }
1178 |  },
1179 |  "nbformat": 4,
1180 |  "nbformat_minor": 4
1181 | }
1182 | 


--------------------------------------------------------------------------------
/analysis_2024.ipynb:
--------------------------------------------------------------------------------
   1 | {
   2 |  "cells": [
   3 |   {
   4 |    "cell_type": "code",
   5 |    "execution_count": 1,
   6 |    "metadata": {},
   7 |    "outputs": [],
   8 |    "source": [
   9 |     "import shutil\n",
  10 |     "import pandas as pd\n",
  11 |     "from config import your_university"
  12 |    ]
  13 |   },
  14 |   {
  15 |    "cell_type": "code",
  16 |    "execution_count": 2,
  17 |    "metadata": {
  18 |     "scrolled": true
  19 |    },
  20 |    "outputs": [
  21 |     {
  22 |      "data": {
  23 |       "text/html": [
  24 |        "<div>\n",
  25 |        "<style scoped>\n",
  26 |        "    .dataframe tbody tr th:only-of-type {\n",
  27 |        "        vertical-align: middle;\n",
  28 |        "    }\n",
  29 |        "\n",
  30 |        "    .dataframe tbody tr th {\n",
  31 |        "        vertical-align: top;\n",
  32 |        "    }\n",
  33 |        "\n",
  34 |        "    .dataframe thead th {\n",
  35 |        "        text-align: right;\n",
  36 |        "    }\n",
  37 |        "</style>\n",
  38 |        "<table border=\"1\" class=\"dataframe\">\n",
  39 |        "  <thead>\n",
  40 |        "    <tr style=\"text-align: right;\">\n",
  41 |        "      <th></th>\n",
  42 |        "      <th>control_number</th>\n",
  43 |        "      <th>student1</th>\n",
  44 |        "      <th>student2</th>\n",
  45 |        "      <th>student3</th>\n",
  46 |        "      <th>university</th>\n",
  47 |        "      <th>prize</th>\n",
  48 |        "    </tr>\n",
  49 |        "  </thead>\n",
  50 |        "  <tbody>\n",
  51 |        "    <tr>\n",
  52 |        "      <th>0</th>\n",
  53 |        "      <td>2400002</td>\n",
  54 |        "      <td>Huang Jiarui</td>\n",
  55 |        "      <td>Luo Zimeng</td>\n",
  56 |        "      <td>Zhang Yifa</td>\n",
  57 |        "      <td>Beijing Normal University</td>\n",
  58 |        "      <td>Honorable Mention</td>\n",
  59 |        "    </tr>\n",
  60 |        "    <tr>\n",
  61 |        "      <th>1</th>\n",
  62 |        "      <td>2400004</td>\n",
  63 |        "      <td>Chongqin Chen</td>\n",
  64 |        "      <td>Junyi Liu</td>\n",
  65 |        "      <td>Ruishu Huang</td>\n",
  66 |        "      <td>Ningbo University</td>\n",
  67 |        "      <td>Successful Participant</td>\n",
  68 |        "    </tr>\n",
  69 |        "    <tr>\n",
  70 |        "      <th>2</th>\n",
  71 |        "      <td>2400006</td>\n",
  72 |        "      <td>Xinkai Wu</td>\n",
  73 |        "      <td>Gaoyuan Feng</td>\n",
  74 |        "      <td>Nuoheng Zhou</td>\n",
  75 |        "      <td>Ningbo University</td>\n",
  76 |        "      <td>Honorable Mention</td>\n",
  77 |        "    </tr>\n",
  78 |        "    <tr>\n",
  79 |        "      <th>3</th>\n",
  80 |        "      <td>2400007</td>\n",
  81 |        "      <td>Xiatian Zhang</td>\n",
  82 |        "      <td>Runyi Lin</td>\n",
  83 |        "      <td>Yuehan Yang</td>\n",
  84 |        "      <td>Ningbo University</td>\n",
  85 |        "      <td>Finalist</td>\n",
  86 |        "    </tr>\n",
  87 |        "    <tr>\n",
  88 |        "      <th>4</th>\n",
  89 |        "      <td>2400008</td>\n",
  90 |        "      <td>Kang-liang Wang</td>\n",
  91 |        "      <td>Fei Ni</td>\n",
  92 |        "      <td>Zi-shuo Wang</td>\n",
  93 |        "      <td>Ningbo University</td>\n",
  94 |        "      <td>Successful Participant</td>\n",
  95 |        "    </tr>\n",
  96 |        "  </tbody>\n",
  97 |        "</table>\n",
  98 |        "</div>"
  99 |       ],
 100 |       "text/plain": [
 101 |        "   control_number         student1      student2      student3  \\\n",
 102 |        "0         2400002     Huang Jiarui    Luo Zimeng    Zhang Yifa   \n",
 103 |        "1         2400004    Chongqin Chen     Junyi Liu  Ruishu Huang   \n",
 104 |        "2         2400006        Xinkai Wu  Gaoyuan Feng  Nuoheng Zhou   \n",
 105 |        "3         2400007    Xiatian Zhang     Runyi Lin   Yuehan Yang   \n",
 106 |        "4         2400008  Kang-liang Wang        Fei Ni  Zi-shuo Wang   \n",
 107 |        "\n",
 108 |        "                  university                   prize  \n",
 109 |        "0  Beijing Normal University       Honorable Mention  \n",
 110 |        "1          Ningbo University  Successful Participant  \n",
 111 |        "2          Ningbo University       Honorable Mention  \n",
 112 |        "3          Ningbo University                Finalist  \n",
 113 |        "4          Ningbo University  Successful Participant  "
 114 |       ]
 115 |      },
 116 |      "execution_count": 2,
 117 |      "metadata": {},
 118 |      "output_type": "execute_result"
 119 |     }
 120 |    ],
 121 |    "source": [
 122 |     "shutil.copyfile('./all/all_2024.txt', './all/all_2024.csv')\n",
 123 |     "data = pd.read_csv('./all/all_2024.csv')\n",
 124 |     "data=data.iloc[:,0:6]\n",
 125 |     "data.head()"
 126 |    ]
 127 |   },
 128 |   {
 129 |    "cell_type": "code",
 130 |    "execution_count": 3,
 131 |    "metadata": {},
 132 |    "outputs": [
 133 |     {
 134 |      "data": {
 135 |       "text/plain": [
 136 |        "Jilin University                                     572\n",
 137 |        "Harbin Engineering University                        560\n",
 138 |        "Huazhong University of Science and Technology        511\n",
 139 |        "Northwestern Polytechnical University                497\n",
 140 |        "Xi'an Jiaotong University                            494\n",
 141 |        "Beihang University                                   451\n",
 142 |        "Nanjing University of Posts and Telecommunication    410\n",
 143 |        "Dalian University of Technology                      387\n",
 144 |        "South China University of Technology                 372\n",
 145 |        "XIDIAN UNIVERSITY                                    368\n",
 146 |        "Chongqing University                                 337\n",
 147 |        "Wuhan University                                     337\n",
 148 |        "Shanghai Jiao Tong University                        330\n",
 149 |        "Harbin Institute of Technology                       326\n",
 150 |        "Xidian University                                    285\n",
 151 |        "SUN YAT-SEN UNIVERSITY                               273\n",
 152 |        "Northeastern University                              270\n",
 153 |        "National University of Defense Technology            267\n",
 154 |        "Being Jiaotong University                            266\n",
 155 |        "Beijing Institute of Technology                      262\n",
 156 |        "Name: university, dtype: int64"
 157 |       ]
 158 |      },
 159 |      "execution_count": 3,
 160 |      "metadata": {},
 161 |      "output_type": "execute_result"
 162 |     }
 163 |    ],
 164 |    "source": [
 165 |     "univ_data=data['university'].value_counts().iloc[0:20]\n",
 166 |     "univ_data"
 167 |    ]
 168 |   },
 169 |   {
 170 |    "cell_type": "code",
 171 |    "execution_count": 4,
 172 |    "metadata": {
 173 |     "scrolled": true
 174 |    },
 175 |    "outputs": [
 176 |     {
 177 |      "data": {
 178 |       "image/png": 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CP41kmIfWjlUx473K/q5Hecb7Yrb78r6r2XMNnnPrk3gkrDT+r82s1YlEeTLXYrb7VyVtjkdovodH6r5NbYYBP8UTxFb6UW5GkeADwuH4O/B3Sc/jCXlvpbqUU4mlgG3KJLQIZ6eaGkGlPiv2U8bxeE61zaP+W4V71b6rtuTCEX7q9SetCqV9avRXbfzy8hWasKGZcszsKUnPS9oF+BwtUbfyeiljlSRJ0ol0ttM2F49MXA18GY+IgGfwfyEctp1xJw1JfXGB8B0aTFQ6GRe/vgL/Iaqkj1nkLuAQSZfhTuMA4C8V6o0HvinptnAWDwGqReWqcRW+ZLY6sFOUjQFOlzQicoF9Cni3vGHsN3rHzK6V9Di+HFZOKeN9KTJ1byzTbglsVqH+vcA50ferwIG4/FVVJG0J/NvMnpW0VPQ7C7gb+IOkz5gLq69WIdo2Fne8h0RffQqRpUrcDlwvaaiZvVzos5F+VgGejsMSh+CanbV4GPiMXFXg8XgWjXA78New8QVJq+HfQSPPoy5m9pqkVyXtYGYTgW8Bd5ZVexiPyq1rZo8V6nyg5mBmc1lQzWEYvkx6hZm9X8+WlLFKkiRZ9HS203YJ/iM3Bf/BK0WTRgA3SroPz/r+cJQfg0e1xkVE5j4zO7xG/8cCl0o6EXgR38tVi2vxJa45wCO4I1MpK//F+F6kmZIM3/P1kwr1qmJmD8Ry4DNm9lyUjY19UXfH/ObhGfHLf0Q/BfwpHCWqjH0xHv16Lva1gTvHfUqHBcrseU7ST3DnU8DNZvbXOtP4OHBJaaM7MAU438zeiqW068LGF1hQFP1Y3JGZhb+HE4Cjqg0Uz+tXwJ2S3seXkAc12M8FwLWxdDuO2pqjFOz/m6SXcGd+k1ptot2Dkn4GjI15vwt8z8zuaeB5NMoh+KGQFfFl8lbvdNh+KL5HcmlcUutCM3tbfvjllpjTlLJ+R+MR2JSwSpIkWUxJRYQy1JLx/mP4D9t2Zvbveu26AvJcY0PN7Pa6lZMlDtVQc5DnHRxqZjvU7CRIRYQkSZLmUTsVEVJ7dEFuig3pE4HTlwSHTdKqkh7BD4Wkw/bh5Yh4tx/Al4wvApAnPL6WJqPFSZIkyaIlI21JkjRNRtqSJEmaJyNtiwBJJul3hc8nSBrcZB8DFEld43O7ZIeaGHdQpBZZGH33kvSmPE/bg5IuLOyzq1S/rmyT2iG/pTZIpMkTNh/cxvEWkE9TBUmzBufdT9K5teq0F0mTCzZ+Y2GOlSRJknQ8nX0QoavwNvBVSb9uS9LR2BA+AD9YMLmDbavHIPxgxbONNpC0tJm912D1x82sT8zxDjzlx3VNW9lCR8pv1cXMLlwU49QjJLDaHbqq9d2ZWel/GnoB36DyyeiGSBmrJEk6kpSpaoyMtDXGe/hpzOPLb6i2VNbZ8gS9I/ETjcdHVKq02XtHLSildYE8rxdymaJL4/owSb+M6wWkkuJPK2mr6LMfMCLqriCpr6Q7JU2TNEZSz+hzvKQzJN0J/CA+nxXjPFKwuSLhKEwG1q32TArPbB1J0wuf1wt7Wslvxb09JN0tl4AaJal7lPePZzczbCwl5l1DlSXE5qmy1NkHUTBJ60q6LepMDzsrSqq1lWrPNSKxJVmpuZJWLbR5TNInVFv662JJY4HLJW1ceD9mSVqv9AyiyzOBHeL+8XKJr2IC7EmSKqWFSZIkSTqRdNoa5w+4JNEqZeW1pLLWB3Yzs/2AC/HTeX0ixxZUltKagEsngaf22CiutwcmqopUEi491UraysyuoUWCqg/ufJ4H7G9mffFM+L8q2Luqme1kZqWl4KXNbCs8+tVKLqkc+ZLmrri0Uq1nQuQ+e63gKBwKDLcy+S15zrifxTPcMubyQ0nL4o7wD0IWajeglFy3moRYNamzIiNw6ajNgW2B56giqVbrWTRA1eca+Qf/CuwLIOlzwFwze57akl19gS+b2Tfw/0E4J77zfrjkW5GTgInxLg6NfgbFeOsDy5nZrHKjJR0p6T5J973/RqVMOEmSJMnCJJ22BjGz/+K6j8eW3dqGlmWmK3DnqsSoOolKbzCz+Wb2IC3yRRPxKMhGwIPA8xEN2waPZBWlkmbE589SkLaS9AXgvxXG2wDPN3ZrtP0Z8OnC/ZFl9UvLnNPwJbVKrBN9TcIlmf5O7WdSYhhwqFxQfSCVl+q2xp3WSTHGIXii5Q1wofqp4N9NYUnwdjN7zczewp/f2lFeLnXWaj4RqfuUmV0ffb5lZm/QIqk2C7iNFkm1alQ72VMsr/dcR9KS/PbrtHwvu+FyXDPwvGpF6a/RBVWIu4GfSvoxsHYdtQhwKay95bqn36ZysmbM7GIz62dm/bqtWP7/LkmSJMnCJve0NcfvgenUTkBa/HGumcSVClJaZvaMpI8CX8AjQqvhMlXzzOz1iPIsIJUEoPrSVgIeMLNtqthTbm/JvlrSYI9bQVu2CpUcmWvxKNMdwDQze7lCHQG3mlkrRYJYumtWFqqe1Fm16FlVSbUqlEucgX+HTxY+13uud+PLzD3wPYK/jPJa0l9FmbO/SLoX+CIwRtLhZnZHNYPN7A1Jt+KqJF+jvjZwkiRJ0gmk09YEZvaKpKuBw/ClRWhcKut1YOUGh7obXzrbBfgYrlN6TdyrJpX0PypLW5XkrAD+AfSQtI2Z3R2RlfXN7IEG7WqUus8kMvePAf6IP88SRfmte3C1g3XN7LFYgv00rpCxhqT+ZjY1ok31okk1MbP/Snpa0lfM7Aa5ykM3qkiq1ehnnqTnJO1qZrfH9/MFfGmzUVtM0vXA2cBDBYe2IekvSZ/FxeHPjevNcOe4RPGdKDEMuBFfNq0rsZUyVkmSJIueXB5tnt/heqEljsWX+WbhOo8/qNLuRmBftT6IUI2J+L6nx/DI3mpRRiyllqSSZuHi7D3xZbvxsXQ2nJZEqcNx2aMZuBOyP3CWpJm4RNgHaUg6kEafyQg8Yja2UFaS3xpnZi/ie62ujL7uAXqb2Tv48uF5MY9bqR39apRvAcfGWJOBT4aN/eSSagfRIqlWi4OBn8UzvwP4Rezja4aRuIRZccn62LBllqQHqS77NRCYE+P3xpf1i8wC3osDF8cDmNk0fEk9ZaySJEkWUzK5btJpxKnNVczs551ty4cdeS6/8bhTPL9e/UyumyRJ0jxqZ3LdXB5NOoVY/lsHXwJOOhF5cuFfAT9sxGFLkiRJOod02pJOwcz27WwbEsfMLmfBJdQkSZJkMSP3tCVNIWlNSU/GBnskfTQ+ry1pDUnXRPkAScM7aMzxkvrF9c3FxLNN9vPTjrCnzhgDJN1UVlZXskzSPnLh9oVlV/G76SNpr4U1VpIkSbJwyEhb0hRm9pSkP+LJgI+Mvy82s39GlYWqp2pm7XE2fgqc0VG2dCRmNhrPvdYuVEXGysyepeW7KSXdvbmt46SMVZIkHUHKVzVHRtqStjAU2FrScXji3N/BAmLp7wCvRflWcsmp++PvDaJ8kKTrVEF2qhpyiafV4/oGufzVA5KOLNQ5UC45NUfSWVF2JrBCnN4dEWU/jDpzYi6lOTwk6ZLod6ykFeJe/zi5ebekISoThm+EsP8XapHF6l14FudLWiXqLBXlK0p6StIyclmtW2LOEwtti5JpZ0naKeY5I575R0rfjVxN4jRcLWKGpIHx7HtEX0vJZbNWrzKFJEmSpJPISFvSNJGz7ETgFmCPSMFRXmcynjYDPE3Gjmb2nqTd8GjXfnGvD7AFnnD2H5LOM7OnGjTl25E7bwVcIeJaYDngLFw14lU8NcpXzOwkSceUEgFL6ovLZ30OT6x7r1x39VVgPeBAMztCnpdvP1zE/k/AkWY2OZzAtvKSmW0p6WjgBODw0g0ze02exmQnYBzwJWBMPPOLgaPM7FG5vNUFtBzkKEmmvS/pRuB7ZjZJrtX6VqH/dySdAvQzs2PiWfTG05n8HlddmGlmL5UbHY7xkQDdVu7RjuknSZIkbSEjbUlb2RPX5tykgbqrAKMiMjUU2Lhwr5rsVCMcGw7OPcCauLPVHxhvZi/GMuEIYMcKbbcHrjez/5nZPFxaqpQ/78lC0tppQK/YR/eRcEahsuwWLCQZq3C+tsWf4wzgIjw/X4miZNok4GxJx+J6sgssl5ZxKZ5bDlxFo2KutpSxSpIk6VzSaUuaRi70vjuuDXq8XBu1FqcD48xsEzxyVEyEW012qp4NA/Co0DYh8H5/9NuomHutepVsarTfajJWxchVPRmr0cCe8sMeffEEvUsB/wmR99KfDQttijJWZ+LRuxWAe0rLqNWIyObzknbBI49/rzPHJEmSpBPI5dGkKSQJl546zsz+JWkI8Ft8ea0aqwDPxPWgDjJlFeDV0M3sjTuQAPcC58SerFeBA4Hz4t67kpYxs3dxXdfhscwpYF9cEaEiZvaqpNclbW1m9+ARsEo8iktsbWhmD0laG9gcV59oiJDCmoJLX90UEbT/yk/pHmBmo+J72MzMZpa3l7SOmc0GZkvaBldFKI5fTcbqz8AVhYhdVVLGKkmSZNGTkbakWY4A/mVmt8bnC4Deknaq0eY3wK8lTcKltJplaVpHv8D30y0tl5w6HV8ixcyewyW8xgEzgelm9tdoczEwS9IIM5uOS3xNwR29YWZ2fx07DgMulnQ37ui9Vl7BzN7G5af+FMuY1wCHm9kCdetQScbqIOCwWBJ+ABd4r8RxcehgJq7JWh45GwdsVDqIEGWjge6kjFWSJMliS8pYJYs1cuH2x4BN2uD4dLQt3WP/G/Kcaj3NrJquapdCngdvqJnV08UFUsYqSZKkLaidMlYZaUsWW8KRmAFc0NkOW/DFiE7NwQ8t/LKzDeoIwgG9Fo9QJkmSJIspGWlLkqRpMtKWJEnSPO2NtOVBhGSxR9L7wGx8H9n7wDGF1BvV2kw2s23jlOkJZrb3wrf0g7Hn4nnQXorPDdlQsnkh2jUMONvMHpT0UzNrszpEKiIkyYeDVCxYvMjl0aQr8GakuNgcX8L7db0GC9P5WVh0hM2Sqh70MLPDzezB+LjQdViTJEmSjiWdtqSrsTKeygMASSdKmhryUr8olM8rtOku6RpJD0saEekykHRKtJ0j6eJC+XhJZ0maIukRSTtE+YqSro6xRkq6N/bdNYykwZIujTGeiAS4rWyOvvcqlA+XtJ+kbnL5rNJ8vxP3B0gaJ+kveJqPlST9TdLMmNvAwrz6qUzSS9Lpkn5QGO9XRbuSJEmSxYNcHk26AitE+ozlcRWAXQAk7YGrIGyFL52OlrSjmU0oa78FrsLwLK4WsB1wF3C+mZ0WfV0B7A3cGG2WNrOtwnk6FU/kezSeG24zSZvQRO61MnoDO+O50v4h6Y+RO67EVbgiws1yrdBdge/iKUdeM7P+cap2kqSx0WYr/ITtk5L2A541sy/G3FrJF1SQ9OqFqzScI9c8/Xr01wqljFWSJEmnkpG2pCtQWh7tDXwBuDyiYnvEn/uB6bgztF6F9lPM7Gkzm487Wr2ifOeIls3GHcGivFYlqantcYcKM5sDzKpib6XTPcWyv5nZ27Hn7QXgE2V1/w7sEo7ZnsAEM3sz5npwOLD3Ah8rzHeKmT0Z17OB3SJauEO9k7dmNhd4WdIWMcb9ZvZyhXopY5UkSdKJZKQt6VKY2d1ytYMeeHTt12Z2UZ1mC8hSSVoeTwzcz8yekjSYyvJaRampZqWsStJV1WSsyvsHwMzekjQe+DwecbuyMP73zWxMsX4cdCjKWD0iqS+wF57UeGwpoliDYbhaxSdxLdIkSZJkMSOdtqRLIZes6oY7RmOA00PhYJ6kTwHvmtkLDXRVctBekoux74+rF9TiLuBrwDhJGwGbVqk3HpfEOiUOBnwTuKEBm4pcheuH9qNF+msM8F1Jd5jZu5LWp0Ue7AMkrQG8YmZ/jn1yg8rr0FrSC+B64DRgGeAb9YxLGaskSZJFTzptSVegtKcNPNp0SOhjjpW0IXB3nCGYhztIdZ02M/uPpEvwpcS5wNQG7LgAuEwunXU/vjxaaenxdOCPchkp4ZJbf26g/yJjgcuB0Wb2TpQNw5dqp8fy8IvAVyq03RQYImk+8C6+H66ckqTXdDM7yMzekTQOF6Wvqz2aJEmSLHoyuW6SNEhEzZaJ5ct1gDCxmgsAACAASURBVNuB9QtOVZclDiBMBw4ws0fr1c/kukmSJM2TyXWTZNGxIr40ugweQfvuEuKwbQTcBFzfiMOWJEmSdA7ptCVJg5jZ6/gesyWKSLj72c62I0mSJKlNXadNkuHSN/8Xn08AupvZ4LYMqBZ5oTWAc81s/7b0U9bnYGCemf22UDaXgpRQlXan4ekUbmuvDVX63wfYyMzOlPQV4JFCRvr29Nsb36huwP5m9njh3lzgdWA+8DxwsJn9u4m+VwW+YWYXtNfOJsYcj8s83Vcoux74DNAdPylaSmdxdLmElaRB+Hd9zCIxeBEg6Wb8e/hPk+0GAO+UnpGko4A3zOzyjrQvZaySZPEi5aY+HDSSp+1t4KuRZqHdlKR6zOzZjnDY2mnLKR3hsKmKdJCZjTazM+PjV4CN2jtWoa+/mtkWRYetwM4h+XQfzcsVrYonke1UzGzfSP56ODAx8rT1qac5uqRgZns167AFA4AP5LDM7MKOdtiSJEmSzqERp+09/KTZ8eU3JH0pkpPeL+k2SZ+I8kakenpJmhPXgyRdJ+kWSY9K+k2h/mFyKaHxki6RdH4zE4xxHoq2D0gaK2mFuDdc0v6S9pR0daHNAEk3xvUeku6WNF3SqEgPgaS5chmku4ADJB0r6UG5vNBVhXmdL2lbYB/8RN8MSetIml4Ybz1J0yrY3kfSPdHn9ZI+Ks/QfxxweJz2q8UEYF1Jy0v6k6TZ8V3tHP1vLJdqmhFjrAecCawTZUMk9ZQ0IT7PUUg6ldnZrBzUCpKuijFHAis0+F32kHRtjDVV0naN1pHUvfAMZslVA5B0YJTNkXRWoZ95Yfu0eLe3KrzP+0SdQZJukHSjpCclHSPph/GM75G0WuE59Ivr1eXR0Hrv/VzF/yhJOjhsnilXbqj4b0+ubHAUcHx8XzvI/y2eEG0WeJ9qfU9JkiTJ4kWjigh/AA5SmRwOnrdqazPbAl+u+1HhXm88OehWwKnyzdu16IMnEt0UGChpTfkS6s+BrYHdo8+2sB7wBzPbGPgPsF/Z/VuBrSWtFJ8HAiPjR/NnwG5mtiUeufphod1bZra9mV0FnARsYWab4T+cHxDRodHAiREtehx4TVKfqHIoMLyC3ZcDP44+ZwOnmtnNwIXAUDPbuc6894523ws7NgUOxNNWLB92nhMRrX7A0zGPx8POE/GcXWOizuZUlm4638z6m9kmuAO2d+He0ma2Fe5onhpl38WX7DYDfgX0rTOPEufEvPvj3+GwJur8HJeA2jTGvSPer7NwNYQ+QH/5MjbASsB4M+uLLzf/En8H98XzmZXYBH9GW8Vc3oh/D3cDBzcwpwXe++JNSRsDJwO7RPS0pBG6wL+9UDYovRt9zGxi2VgLvE+Fe5W+p1ZIOlLSfZLue/+NmiILSZIkyUKgoYMIZvZfSZcDxwJvFm59GnduegLL0rLvCEKqB3hbUkmq5+kaw9xektuR9CCwNrA6cKeZvRLlo4D1K5lYzfT4+0kzKzkbRVmi0vzek3QL8CVJ1wBfxB3QnfAlzUkRPFoW/zEuMbJwPQsYIekGGkukOgw4VNIP8R/tVlqP4SCvamZ3RtFlwKgG+gU/4fh+2PQz4E/AeTHXhyX9E3+OdwMnS/o0cJ2ZPRrzLDIVuDSc7hsKz7HIzpJ+hJ+uXA14gBYNz0pyUDsC54Y9s+R5zxphN2Cjgo0rS/pIg3V2wzU1iXFflbQj7pi9CCBpRNh2A/AOnl8N3MF5OxLazqb1+zMuDii8Lum1wrxnA5s1MKdK7/1Thfu7ANeU9maW/i1Q+9/eAjTwPlX6nlphZhfjUXeW67le5gpKkiRZxDSjPfp7XLB6pULZeXiUZVPgO1SWAYIKUj0VqFS/WdmgIh/Bo2qN2jISz3a/CzA1fogF3FrYT7WRmR1WaPO/wvUX8YhkX2CapHrzvRbXldwbmGYVtB7bwc5h78GxL6riczSzv+DLtm8CYyTtUqHOBNyReQa4QlKr6JFa5KD2j/fgEurLQUF1R7sWSwHbFL6PT8X31EgdVRiz1vv1rrUkMZxfmoe5fmlxHsV3a37hc7Hee7T8Wys+m/L2ld7NSnZD7X97baHa95QkSZIsJjT8H2cze0W+7+swWrQJV6FFRueQDrYNYAowNPbevI4vd82uUG8CHuU608xel/RVYKaZvV8hclSN8cD/A46gJYJ2D/AHSeua2WOSVgQ+bWaPFBvKE5OuaWbj5HvcvoGfeizyOu5IAh/oS44B/og/01aY2WuSXpULfk/EZZHuLK/XIBOAg/AlwfWBtYB/SPos8ISZnRvXmwEzi3ZKWht4xswuieXjLfFlthJtkYMq2TNO0iY0FpECVwk4BhgStvWpEPmrVqdUflyUfxQXXT8nlsFfxZeOz2vQlmaYizvzU/Dn0wy3A9dLGmpmL0taLaJt1f7tvQ6sXN5JB79PKWOVJEnSCTQTaQP4Hb5kWWIwMErSRFoLYtei4QiLmT0DnIH/uN4GPEgF2SAzmwWcD9wllzs6Cj912DDm0j034dGvm6LsRVy38cpYwruHyvvqugF/jqWz+/E9ReUn/64CToyN4+tE2Qj8eYytYtYh+OGFWfjep3qi39W4AOgW9o0EBsXS9UBgTjyz3sDlEfGbJN+YPwQ/jThD0v2403xOseOYZ0kO6gYak4P6I9A95vUj3JlphGOBfrGR/kHK9g7WqfNL4KMxr5l4NPI54CfAONxZnW5mf23Qlmb4La4ZOpnW/37qYmYP4Hvl7gy7z45bg6n8b+9GYN/SQYSy7jrqfUqSJEk6gUUqYyXpY/gP49pNtOluLga+NC5qfamZXb/QjFyExKm+Vczs551tS5I0Q8pYJUmSNI+6ioxVnNQbj0cdmmGwpN3wZbixNLbJf7FHnjx2HXwPXZIkSZIkSU0WmdNmZs9S+eRnvXYnLARzOh0z27ezbUiSJEmSpOuQp8S6CJHCYzawDH4a8TLg93GasVqbXsBNZraJPLnrwWZ2bLX6Tdgyl4JEmFw66QQz27tOu8kWihgLA0nDcMm1ByX91MzO6KB+j8Vzy003s4Oi7PN4jjeAdfFDAW8Cs8yskfxsFeXX2mHjcPy7rncIpENIGaskWXikJFVSjXTaug5vRoJbJH0c+At+grBiItRyzHU9O3UTUkc4bJK6xaGRSv0XD5/8FD/E0hEcDexpZh/kQjOzMcCYsGk8ZdqpSZIkSdLRNHt6NFkMMLMXgCOBY+T0kjRRLrU1XS6b1Qq5NNdNcb2VpMlxknWypA2ivKqsUqOoMQmzkXI5rlL5cEn7Seoml86aGqc/v1OwfZykvwCzJa0k6W9yWac5kgZGvfGS+kk6E1ghTlCOkHS6pB8UxvtV0a5C+Q+jvzmSSqlBLgQ+C4yWtICUW4U+vqkWabCLFLq0kr4Q381MSbcXmmxU/qxUW3qtohRVmQ27xnc7O76L5aJ8L0kPS7pL0rmSbpK0VHzXPaLOUpIeUwdpDSdJkiQdRzptXRQzewL//j4OvADsbi61NZBQG6jBw8COIYF0Cq0jUjVllRqknoTZVTEGkpYFdgVuxvPVvRYSVP2BIyR9JtpsBZxsZhsBXwCeNbPNQzrrlmLnZnYSEZmM5cz/R+Qyk+fU+zqebuUDJPXF5cQ+h8umHSFpCzM7CngWTxEytNakJW0Y89ouoqLv4/JvPfC0KPuFFNUBDTyratJrtaSoSsmOhwMDI/Hu0ni6keWBi/CI4fZAj3hW84E/43nzwJUjZpaWvsv6ThmrJEmSTiSdtq5NKXPwMsAl8jxso3DprVqsguf4mgMMBTYu3LvdzF4zs7fwvHiV0rNUyhNTLPubmb0dP/wlCbMifwd2iQjQnsAEM3sT2AM4WJ437l7gY7jzAjClsDw5G9hNLnK+Q0kGqhrmmpwvS9oixri/ggLF9sD1ZvY/M5uHyzo1K5y+K55Ed2rMYVc8Srd1zPHJsOeVQptqz+pJK5NeU2Upqh3LbNgg2j5SVqc3nki59AyvLLS5lBad1G/jsmcLYGYXm1k/M+vXbcVyGeIkSZJkYZN72roocgWD9/Ef+lOB53FB96WAt+o0Px3XzNxXflhhfOFeI5JfJdmwUjRmNVoneK3ZR6hBjMcjTANpcSAEfD/2i32A/KDD/wrtH4nI2F7AryWNNbN6iWKH4YmSP0mLokerYeq0bwQBl5nZT1oVSvtQPal0tWdVXr5CEzY0U46ZPSXpebmM2edoibolSZIkixHptHVBYrntQlx70iIC87SZzZd0CK7QUIuiBNKgNpgwHpdBOiX2bH2T5vPnXYWrVvQr2DAGX8q7w1ycff2CnR8gz/n3ipn9OfbJVZrDu5KWMbN34/P1uALAMrjMWDkTgOGxH07AvjHHZrgd+KtccuoFSavhkmB343JonzGzJ9UiRdUUDUpRPYxH5dY1s8cKdR4GPiupV0QeB5a1G4Yvk15R7aBHkZSxSpIkWfSk09Z1WCGW3EopP66gRdLoAuBaSQfgkkz/q9zFB/wGuEzSD4E72mDL6cAf5bJKwveU/bnJPsbi+7NGm9k7UTYM6AVMlyTgReArFdpuissxzQfexdNxlHMxMEvSdDM7yMzekTQO+E8lp8TMpsvTZpQktYaZ2f3NTChSjfwMGBt7594Fvmdm90g6Erguyl8Adm+m7wKHABfKdXCfwPfhFW14S9Kh+PL30ris2IVm9rako4FbJL3EgtJho/Fl0YpLo0mSJEnns0hlrJKkswhnaTpwgJk92tn2dAZqkYQT8Afg0dLhCnkev6Fm1tA+vpSxSpIkaR61U8YqDyIkSzySNgIeww9ZfCgdtuCIiNY+gC+RXwQg6STgWuAnNdomSZIknUxG2pIkaZqMtCVJkjRPeyNtuaetjUg6Gd/Q/j4wH/iOmd3bhn4GAO+Y2eT4PJwG5IgkfRL4PZ7P7G1gLnAcsAZVJKVUkHlq1s6yfgbhMlbHFMrGU0cVQNJRwBtmdnl7xq/R/wdSXeXPtZ399gBuApYFjo1DAEi6HvgM0B3Pe1ZKp3F0o+NKmmdm3TvAxl6EZFl7+2qElLFKkraRElVJe0inrQ1I2gbYG9gyNnivjv+gt4UBwDygYeci9iRdj6eX+HqU9WHBfGitKJN5WuSY2YUd0Y+kpc3svQr9F6W6BtDkc63BrsDDZnZI2Xj7hj0DaEB7NUmSJEnaQ+5paxs9gZfM7G0AM3vJzJ6FmhJCc0vSQHKppfERHTkKOF4ue1TaBL6jXF7qCUn7Vxh/Z+DdohNkZjNKESCgu6RrQrJoRDh5H8g8xfU8uZzTTLks0iei/EuS7o053FYqb4YafQ+WdIKkDSVNKdTvJWlWXPeVdKekaZLGSOpZsP0MSXcCP5B0gFxuaqakCVFngFyaaYHnKulJhdqApJXj+1imzO61Jd0ul4i6XdJa4Qz/Btgr+qqZL01SD0nXyqW4pkraLsq7S/pTvBezJO1XaFPpWQ2XS021eg/kDIm5z1ZIeJXZsHxhrPsl7RzlK0q6OsYfGd9zP0mHSRpaaH+EpLPL+02SJEk6l3Ta2sZYYE1Jj0i6QNJOUF1CqFonkS/rQvzUXp+C09UTz9C/N3Bmhaab4Fnyq7EFvlS6EZ6Rf7sKdVYC7glZpQnAEVF+F7B1SFxdBfyoxjjVqNY3AGb2ELCsPEEweM6wq8OJOg/Y38z64klwf1VouqqZ7WRmv8Pltz4fY+xT1v9cFnyu44HSusTXgWsLOdxKnA9cHhJRI4BzQ5XgFGBk9PVmnbmfE+P2x6WnhkX5z3GJrk2j/1KqlVrPqtJ78FVcamxzXHJqSMmxLfC9eA6bAgfi6V2Wx4XvX43xT8fVG8C/530KTuyhVEj9oZSxSpIk6VTSaWsDIXPUFxdtfxEYKd/nVU1CqFluMLP5sfes6UgXLvn0tLmu5Aw891k57+D7tCBkkuL608AYuSTWibSWuCpR7fRKqbxa30WuBr4W1wOBkfjz2wS4VX7K8WdhT4mRhetJeDLcI6ifTBjceSrlNKvolADbAH+J6ytwh6lZdgPOD/tHAytL+kiU/6FUycxejctaz6rSe7A9cKWZvW9mz+OJc/uX2bB92I+ZPQz8E1g/yq+K8jnArLj+H+5E7i2pN7CMmc0un1jKWCVJknQuuaetjUSC1vHA+HBwDsEdpGq8R4uTvHyd7osSRpXkhx4AKi2bVmpfTYrqXWs5Olyscx5+WGG0fK/W4AptSzJWRYpSVtX6LjISTwB7HWBm9qikTYEHzGybKvMqSlkdJelzePRsRixjVsXMJsUy7E5At3Ba6tGWo9VLAduUR+RiibpSf7WeVaX3oBG5raalrHCn9qe4ckLdBLupiJAkSbLoyUhbG5C0gaT1CkV98GjGBxJCUV6UGZpLy3LUfoW2r+NSR81wB7BcRJlKNvUvLdO2k6LE1SFV6kwFtpOfYC2d2lwOeKrRQczscdxJ+TktEbR/AD3kBz2QtIykSpE+JK1jZvea2Sm4s7hmWZVKz/VyXOe0mlMyGV86BdffvKvR+RQYCxRP1fapUl7u9DbKBGCgpG7yU607sqC6wQRCP1QuBbYW/mzvIqKb8tx1m5YaxMnnNfET0VeSJEmSLHak09Y2uuP7hB6MDfQbAYPN7C186W1URN/m43urAH4BnCNpIu6slLgR2FetDyLUJCIz+wK7S3pc0gN4ROzZDpjb4LB/Iq1F4IvjPw/8ALg5lgF/DxwYy7HNMBLXLb06+n0HjyCeJZfImgFsW6XtkNhoPwd3UmaW3a/0XEfgEcJqTsmxwKHxnX4r5tgsxwL9YrP/g/iBCIBfAh+NAwQz8cMkbeF6fFlzJu68/8jM/l1W5wKgW7yDI4FBcWjmAtwpngX8OPopbk67GphUWLpNkiRJFiMyuW7yoSFOYH7ZzJoVgl8ikNQN36/2lqR1cIH79Uvar5Juwg9R3F6vr0yumyRJ0jzK5LpJUh9J5wF7Ant1ti2dyIrAuDglKuC7ZvaOpFXxJdaZjThsSZIkSeeQy6PJYomkNeW51VaLzx+Nz2vHgYI5UT5A0muRj+wfkiZI2rvQz2BJJ5jZ981sXeAJSS9J+nXZeOMl3Vf43E+u8lBu14CISBXLhqslj1rVflTIIyfpabmIfbGfGZK2Cpufic+lP6uWzfVhSb8ttP1E9D0zlu1vjvJesST7eWAi/j9q6+B7EH8d9e4HdjSzA6LNBXI90iRJkmQxIiNtyWKJmT0l6Y94frIj4++Lzeyf8uS5RSaW1Ahi4/8Nkt6sEjXaA9+U/zVJP7XW+wM+LmlPM/t7O82v2Y+ZzZX0FLADcVBFnmrjI2Y2RdJe+DLlb4vt/ACqz1We5Pd+Sdeb2STgNOBWMzsn6m5WNuYYYEzcG09BckwuL/Zb4JuStsRTg/SlBiljlSTNkfJVSUeQkbZkcWYosLWk43BH4nf1GkQy3NMonNQs40A8Ae6/gK3L7g3Bc8O1l0b6uZKWk6rEdcOnNiOlyAzgU1HUE3i6cH9Wo30BFwPryJUTzgeOqZB4OEmSJOlk0mlLFlvCcTgRd96OK22Yb4DpQO/ywohO7Yons70Sd+CK3A28Hc5Le2ikn6uBr0gqRbsHEolvg5IE1wxJ48obR8qQ9fCTs+CJe/+fpHGSTpa0RqPGxqnf7wLXAo+Y2YQ6TZIkSZJOIJ22ZHFnT+A5XCmhUaolkd0bGGdmb+AOyr5xorLIL6kdJaunBtFQP5Gm4wFg11jSfbcs4W9JgquPmRWdvx0iZce/gZtK6T5i+fOzwCW4w3p/5HFriIhQzsHTglREKWOVJEnSqaTTliy2hDOzO76MebwW1NisxhbAQxXKDwR2kzQXl4z6GGX50szsDlyxonzptEQ9NYhG+4GWJdJmlkYnhnbopsB3VVCCMLNXzOwvkdJkKs1LqM2PPxVJGaskSZLOJQ8iJIsl8l33f8SXRf8laQi+Wf6gOu02w1UWDi8rXxnfF7dmJJpF0qG4I3dbWTe/wpMiP1FhiEeBNSRtaGYPSVobF2+vJGFWqx/waN8ZwBvALrXmVY6ZPRInYH8MHChpF1x4/g251uk6+L69hULKWCVJkix60mlLFleOAP5lZrfG5wuAQXKprn+W1d1B0v14HrIXgGMrnBz9KnBHyWEL/gr8RtJyxYpmdrOkFysZZWZvS/om8CdJywPvAoeb2QLrhbX6ifv/kXQP8Akze7Ls9vExTomvVOjiQuAESZ/BT3ueL6mkcTvMzKZWOGmbJEmSdFFSESFJkqZJRYQkSZLmaa8iQu5pS5IkSZIk6QKk05YkSZIkSdIFSKctWaRI+qSkqyQ9XpJbkrR+JXmoRWzXaZJ266C+5pV9HiTp/Dpt1pB0TUeMX2OMm0MOa1VJRy/MsZIkSZKOJw8iJIuMOBF6PXCZmX09yvoAn+hUwwAzO6WTx38W2L+9/Uha2szeqzLGXlGnF3A0NXKy1SNlrJIPEylBlSwuZKQtWZTsjCeRvbBUYGYzzGxifOwu6ZoQQx8RTh6Sdg2R9NmSLi2d9pQ0V9IvJE2Pe72jvIekW6P8Ikn/lLR63DtZLix/m6QrJZ0Q5UXR96b7bZQY51xJkyU9URizl6Q5cX2vpI0LbcZL6itppZj/1HgeX477gySNknQjMFZST0kT5GoKcyTtUJjX6riO6zpxf4ikK0p9Rb0RkvZpZl5JkiTJwiedtmRRsgme1LYaWwDHARvh2f23i7Qaw4GBZrYpHh3+bqHNS2a2JZ7T7YQoOxVP77ElHtlbC0BSXzyR7RZ4CpD+NWxpuN820BPPGbc37kCVcxXwtbC5J7CGmU0DTo7x++MO8BBJK0WbbYBDzGwX4BvAGDPrQ+UccicBj4fawonAMODQGG8VYFvg5jbOLUmSJFlIpNOWLE5MMbOnQwtzBtAL2AB40sweiTqX0TrT/3Xx97SoD+4QXQVgZrcAr0b5DsD1ZvaGmf0XGF3Dlmb6bYRibp0bzGy+mT1I5aXhq4ED4vprwKi43gM4SdIMYDyuuFByHG81s1fieipwqKTBwKZm9npNw8zuBNaV9HE82fC1lZZYlTJWSZIknUo6bcmi5AE8CWw1iolv38ejatV0RMvblOpTp02jiQmb7bfIm5KWLXwul7kqznOBPs3sGeBlubpDUUhewH4FTdK1zKwk1/W/QvsJuGP7DHCFpIMbsPkKXG3iUOBPlSqkjFWSJEnnkgcRkkXJHcAZko4ws0sAJPXHlQyq8TDQS9K6ZvYY8C3gzjrj3IVHqM6StActWqETgOGSzsTf/S8BFzVhf7V+y7kT+CZwqaQVos2PmhgH3FH7EbCKmc2OsjHA9yV938xM0hZmdn95Q7m01jNmdkksn24JXF6o8jrwkbJmw4EpwL/N7IF6xqWMVZIkyaInI23JIsNcfmNfYPdI+fEAMBh4tkabt/DozyhJs3FB8wur1Q9+AewhaTqwJ/Ac8LqZTQdG4kuv1wITq3fReL8V6v0A+GosY94DjIroVzNcg++/u7pQdjqwDDArDi2cXqXtAGCGXNprP+Cc4k0zexmYFIcUhkTZ88BDVImyJUmSJJ1PylglSxxxuvR9M3tP0jbAH2NTfnm9wcA8M/ttR/bbFZG0IjAb2LKSjmo5KWOVJEnSPGqnjFUujyZLImsBV0taCngHF59fnPvtVORJhS8Fzm7EYUuSJEk6h3TakiUOM3sUT+tRr97ghdFvV8PMbqPt6UuSJEmSRUTuaUu6JJKGSjqu8HmMpGGFz7+T9MMa7ReKbFalfouJe2u020fSSR1tT6H/D2SyJPWRtNfCGitJkiRZOGSkLemqTMZzmf0+litXB1Yu3N8WT9TbJTCz0dTOG9cQqiJjVSaT1QfoRzsS6KaMVfJhImWsksWFjLQlXZVJuGMGsDEwB3hd0kfjwMCGwP3lUS61FnOvJpt1SkhFzZF0caF8vKSzJE2R9EhJHqoZVF0ia5Ck8yWtEnWWivIVJT0laRlJ60i6RdI0SRMLbYdLOlvSODwdyU4hUTVDLnf1EYVMVuSPOw0YGPcHSnpUUo/oaylJj6lJea4kSZJk4ZNOW9IlicjRe5LWwp23u4F7cTmnfsAsM3unTjcLyGZF+flm1t/MNgFWwOWmSixtZltFu1PbaH4liazSvF4DZgI7RdGXcEmqd4GLge+bWd9oVxR8Xx/Yzcz+L+59L0627gC8Wej/HeAUYGQk6B0J/BlPrAuwGzDTzIrJgIFUREiSJOls0mlLujKlaFvJabu78HlyA+0ryWYB7CwXbZ8N7IJH8kpUkrcqUi2HTrG8Xh8jcSUE8FxtIyV1x+c1KvK/XYRrmJYYZWbvx/Uk4GxJxwKrVlouLeNSoKSa8G1SESFJkmSxJJ22pCszGXdkNsWXR+/BI23b4o4LwHvEex7LnEV5qQVks+QC9RcA+4dA/SW4xmd5m6K8VZGXWVApoZqMVbU+RgN7SloNl/26I+bwn4KEVR8z27DQpihjdSZwOB4lvKe0jFoNM3sKeF7SLsDngL/Xqp8kSZJ0DnkQIenKTAL+D3giokyvSFoVj4yVcqjNxR2fq4Ev44oCtSg5aC9FdGt/XJ2gUR4F1pC0oZk9FJJSm+ORvIYws3mSpuBKBjfF3P4r6UlJB5jZqHBANzOzmeXtJa0T0lezIwlw77LxK8lYDcOXSa8oROyqkjJWSZIki56MtCVdmdn4qdF7yspeK+zJugTYKZygz1GISFXCzP4TbWYDNwBTmzHIzN7GdUf/FMuY1wCHtyFp7cjoZ2Sh7CDgMEkzgQdwJ7QSx8Whg5n4frbyyNk4YKPSQYQoGw10J2WskiRJFltSxipJEiT1A4aaWUMnYlPGKkmSpHlSxipJknYRSX2/S8sJ0iRJkmQxJJdHk+RDjpmdaWZrm9ldnW1LkiRJUp102pYwJJ0s6QFJs2LP0ueifO7CTpjaiFxThTYVU3OUkuAW5ZfaYdfHCslm/y3pmcLnZev30PR488o+D5J0fp027Z5nA3bdzjDvSwAAIABJREFULGnV+HP0whwrSZIk6XhyeXQJIk4K7g1saWZvh5PW4U5JR2Jm29a5X5RfausYL+PSTUgaDMwzs9+2p8+OpiPmCdVlrGKMvaJOL+BoWifnbYqUsUqWZFK2KllcyUjbkkVPPNv+2wBm9lI4AyW+X0E+aStJk0PuaLKkDaJ8kKTrQjbpUUm/KXUi6bCQcRov6ZKyKNKO0c8TpaibpO6Sbi+M/eVCX62iUuWU5JcK1xOjn+mSto1ySRoSJyZnF05E1kTSrjHv2ZIulctf1ZKa6iHp1ii/SNI/m41eRjTy3ArPqDjPeyVtXGgzXlJfSSuFnVPD7i/H/UGSRkm6ERgrqaekCRFJnKOQ2ypEW88E1on7QyRdUfadjJC0TzPzSpIkSRY+6bQtWYwF1gyH6gJJO5XdrySf9DCwo5ltgcsbnVGo3wfPzL8prlW5pqQ1gJ8DWwO74znAivQEtscjfmdG2VvAvjH2zsDvJNfzbJIXgN2jn4HAuVH+1bB1c1yGaYiknpW7cORJdIcDAyOJ7tL4ZvwSlZ7VqcAdUX49sFYb5gCVn1GRq4CvhZ09gTXMbBpwcozfH3+OQyStFG22AQ4xs12Ab+DSV6VnUp4j7iTg8UjQeyKeo+3QGG8VPDnxAmLyShmrJEmSTiWdtiUIM5uHJ5I9EngRlz8aVKhSST5pFVwaaQ4wlNaSTbeb2Wtm9hbwILA2sBVwp5m9EnqYo8rMuMHM5pvZg8AnokzAGZJmAbcBnyrca4ZlgEvk8lKjcM1QcAfoSjN738yeB+4E+tfpawPgSTN7JD5fBuxYuF/pWW2PO1SY2S3Aq03YXsytU+kZFbkaOCCuv0bLM94DOEme/208ngi45DjeamavxPVU4NBYCt7UzF6vaZjZncC6kj4OHAhcW2mJNWWskiRJOpd02pYwwnEZb2anAscA+xVuV5JPOh0YF+LoX6KyZFOxTb0IWbFNqe5BQA+gb0R/ni8bp1GOj7ab46Lwpf16bYnaNTqP4rNqdJw31fqAQzUZq4p9mtkzwMuSNsMjilcV6u5XkLFay8weintFGasJuAP6DHCFpIOpzxX493QomWA3SZJksSQPIixBxH60+Wb2aBT1Af5Zp9kq+I87wKAGhpkCDJX0UVwOaT9cPaDeGC+Y2buSdsYjdm1hFeBpM5sv6RCgW5RPAL4j6TLcQdoROLFOXw8DvST9//bOPFyuqkrf78coEgRHfkwtCEhEhACBBhkMigiCYCuKDBoQUVokgALiBBFaBWlJMw/SIaAMgSiKaWQ0YQ5DyMCsCFEmBWQWZAjf74+9ipxUqupW3XuTm1us93ny3Dr77L3PWqcuZGXtvde3hu37gS9SMnStuJ6S+TpG0jbMqzFa4xqKmsFYSUvFmEN7mLueC2LMsiFJBXA5ZV/i/rYtaX3b0+oHqkhnPWL757F8ugFwTqVLIxmrcZTv9m+27+rJuJSxSpIkWfBkpq27GAKcLenuWIpcGxjdw5ifAj+RdANzgqCmRBbox8DNlKXOu4GeNjidCwyXdBslm3Nvq86SFmPubFSNU4CRkqYA72dOduliYCYwgyKufqjtv/Xgx78oWaWLYrn1deC0Hvz4IbCNpNuB7YDHKAFQPQcAn4llzCnARZH96oQJwBcoS6U1jqIsEc+M5eyjmowdAUyXNI0SVB9fvRmnaW+IQwrHRtvfgXvILFuSJMlCS8pYJR0jaUiImi9GCZjG2r64H+dfD/i57Y37a87+IE6Xzrb9mkp5lVNjuXfQI+mtlIzpBu3opKaMVZIkSecoZaySAWC0pK0p+9KuoAir9wuS9gVGAQf215z9yL8BF0paBHgF2GeA7ekX4rscCxzXC2H7JEmSZAGRmbYkSTomM21JkiSdk5m2BChFam0PqVzvCQy3/Y0O5mg6RtKNPakX1PUfB0y03ZE0k0q1/g/bPi+uhwNfsj1K0gjgFdsNpa+azdFXJI2i1HC73fbu0fYJ4JjosgblMMdLwEzb7ZzW7Fd1ht6+796SighJN5JKCMnCTgZtCfDG5v+mdBKw9ZFVKcVhz4vn3gbUUjojgBeAlkFb/Rz9wNeB7Ww/WGuwfTnlNCeSJgMHh61JkiRJMl/I06NvAiR9KqSRpkm6StLy0T5a0hmSrmBOSYhVVKSr7pN0RGWOmoD7iJBVmiDp3pA8alm/TM1loT6iOcLt0yQtQ1EI2CLaDornTYzs2b7AQXFvC9UJ1GuOJFb9HIuGXNOtkmZK+loTO78ZJyrvlHRgtJ0GvA+4RNJBbbzrPSTdEs8+XdKi0b5t+D9D0tWVIWvH+3wgMno1Sat7VCTC7pJ0RZQOQdIwSVPCj4uj9Eq9Dc3kuT4Z39n1KlJaEyUtoiJT9u7os4ik+9WhPFeSJEky/8mgrXtYqhIATQeOrNy7HtgkpKpq9b9qbAjsZHu3uN6YUpZjGPC5WJ6sZ33KQYG1KQHNZm3Y10gW6mBgvziBuQVlefEw4LooHjumNtj2LEpJjjFx77oWz6qfY2/g2ZB/2gjYR9Jq1QGSNqSUAPl3ikTXPip10PYFHgW2qtrTCEkfoBTD3Sx8mg3sHgHRzymFcddjjtoBFBmwT1De+xGSFo/2NYGTbX8QeIY5RZLPAb5te13Kac8jKnM1leeK9tMpGcPNKcWOsf068EvKdw5FBmyG7Wox4NrcKWOVJEkygGTQ1j28VKmUP4yiI1pjZeBylXpkhzC3VNUltl+qXF9p+x/R9muKdFM9t9h+OP7Cn84cmadWNJKFugE4LjJMyzWSTuontgG+FMHszcA7KUFRlc2Bi23/M+TAfk0JJDvhY5Qg+NZ41scoQe0mwLW15dWK3BTA/9l+OYKkx5kja/Wg7Zpm6FRKIeBlKe+pVgS4XnoLmstzDQUeqCzxnl8ZMxao7cP7Mk1qtaWMVZIkycCSQdubgxOBkyLz8jXmlpD6Z13f+uPEjY4XN5K36ol5ZKFsHw18BVgKmFJbNu2A14jf4ViiXaJJPwH7V4La1Wxf0aBPXxFwduU5a9keHe3Njmk3e5e9ecc1Gzppx/ZDwN8lfZSSafx9m89KkiRJFiB5EOHNQVWqamQPfT8u6R2UpcpPUzIv8wVJq4dE0x0qxWqHAg8xr8RSjeeBt1WuZ1EyWxcCO1HUAmr9qnNcTlki/ENIab2fIvNUDVivBcZJOpoS4PwHRdqqE64GfitpjO3H4z0uA9wEnCxpNdsPSnpHXbatLWw/K+lpSVvE8nAj6a1m8lz3Au+TtGosNe9SN+5MyjLpL2zP7smWlLFKkiRZ8GTQ9uZgNEWu6RGKrNJqLfpeTxEPXwM4bz6fiDxQRYt0NkUO6/cUOanXJM2g7M2qamv+DpggaSdgf8o+sd9KuoUSMNWCsJl1cxxPWZK9PTJyT1AC0jewfbtK2YxbounMRrqerbB9t6TvA1eoFOB9lbJnb4qkrwK/jvbHgY93MneFkcBpKgoGD1D24VVt+JekmjzXYsCtwGm2X5b0deAySU9W/KxxCWVZNGWskiRJFlKyuG6SvEnQHPkxAScDf6odrogDJ2Nst7WPL4vrJkmSdI76WFw397QlyZuHfeKAxF2UJfPTASQdBvwK+M4A2pYkSZL0QGbakiTpmMy0JUmSdE5fM225py3pCiStQjlMsKHtp6Lo7O0UFYVXgRNs79xg3GRCzUDSpcButp/poy2jqZOnkjSLIhE2T/2zSp8jKaVBrurL81vMvyOwtu2jJX0a+KPtu3szV8pYJQNFSk0lb2ZyeTTpCqJsxakUNQTi5xm2/2L70UYBW4M5PtnXgK0v2D68PwK2mgpDg/kviTIrUA5irN3XZyVJkiQLjgzakm5iDLBJSFBtDvwM3pCFujM+LyXpgpCBGk+pEUfcm1WTb5L0G0lTQ0bqq5U+L0j6UchRTVFIgrVLDxJV4yTtLGk7SRdWxoyQ9Lv4vI2km1QksS6SNKRi++GSrqcoWYySdHf4eUH02VPSSZI+DOwIHBsKGqtLur3yvDUlTe3EryRJkmT+k0Fb0jXYfpWi+DAGOND2Kw26/SfwYshA/YhS560RX7a9ITAcGCXpndG+NDAl5KiuBfbphanNJKpqXEkJPpeO612A8RFQfh/YOiTBbgO+WRn3L9ub276AIuW1fvi5b3Vy2zdSSnwcEkWA/ww8K2lYdNmLUiplLlLGKkmSZGDJoC3pNrYDHgPWaXJ/S0oRWWzPpNR0a8SoqPM2BViFObJXrwAT43NVkqtKs9M9tfZ5JKrm6lTkvC4DPhW11rYHfkuRw1obuCFOgY4E3lsZOr7yeSZwrqQ9KMoRPXEmsFcsre4CnDeP8SljlSRJMqBk0JZ0DZEp+jgluDlI0gpNurY8Mi1pBEU4fdPIqE1jjvTXq55z5LqZvNQ/gLfXtS1DyapBexJV44HPAx8FbrX9PEWp4cqKTNbatveujKkqPGxPqcW2ITA1gr9W/IoS8O4ATLX9jx76J0mSJAuYPD2adAVRMPZUyrLoXyUdC/w3sHtd12ujbZKkdYB1G0y3LPC07RdDD3WTDs25lpLlOtr285I+A8ywPbuY2RaTgf+lLL/WMmhTKHJYa9i+P1QRVq6IwwMQqgur2J4Ue9x2A4bUzT+X1FcoKVxOeYd70wMpY5UkSbLgyUxb0i3sA/zV9pVxfQowVNJH6vqdCgyRNBM4lHnlnKAsTS4WfY6iBEttE8uuJwHXxzLmvsBXOpxjNmUZdrv4ie0ngD2B88O2KRS91noWBX4p6Q5KlnBMg1OxFwCHSJomafVoO5eShbyiE1uTJEmSBUMW102SBABJBwPL2v5BT32zuG6SJEnnZHHdJEn6jKSLgdUpe+iSJEmShZAM2pIkwfZ/DLQNSZIkSWsyaEvaQtL3KBvaZwOvA1+zfXO9PFOcvDzY9g6S9gTGAsNinxdR5HYH27Mqc/8YWNT2t+P6vcAkYAPbz0Tpjbtt7yppL+CAGLo2cF/YdJntwypzbgIcDywZf8bbHh02HQs8UnFvN+BF4EFglO0TY46TgNtsj6t7F+OAibYnVNpesD1E0qqt5qmNpZQkWdL2dypzDAPOt/2BeK/Ph29Q5K1GxfiPAM9STpN+0/bVMX4Hyh68RYDFgeNtn16T1QJWAzYDlojP98Xc51Hkv3aJed5G2Qu3te0HaUDKWCXzk5SqSpLGZNCW9IikTSmlIDaw/XIUeV2izeEPA9+j1P5qxlHANEnjbN9DCbZ+EAHbByhByJaSlrZ9FnBW2DUL2KqJnufZwOdtz4jaY2tV7o23/Y06H1cFHgcOkHR6k8K87dLOPOcDvwe+U2n7AnPXR2vm2yG2J0jaCjgDWFPS4vF5Y9sPS1qSeeu/7Qdv+DrR9rC4FuXQxNYho3UkMLZZwJYkSZIMDHl6NGmHFYAnbb8MYPtJ24+2OXYi8EFJazXrYPslSmX/UyRtByxj+9y4vRvwC8qJxh07sPk9lCK72J7dpjD6E8DVlKK1faHHeWzfBzwj6d8rzZ+nnOpsl5uAleLzMpR/hP0j5n85ntEjUXfuP4H/kTQc+BglG5kkSZIsRGTQlrTDFcAqkv4o6ZQGZTRa8TrwU+C7rTrZvhR4CjgH+Hrl1i6UOmXnA7t28NwxwH2SLpb0NUlvqdzbJTQ3a3+Wqtw7GviWmoiud0A785xPya7VlnP/YftPlfuTKjYe1GD8tsBvAGw/RZGm+ouk8yXtHvXa2iKWry+nBJujGmUIU8YqSZJkYMmgLekR2y9QKut/lZJFGh97w6CxukB923kULc3VenjUyZTq//cBSNoIeML2XyjBxAaS6pUGmtl8JEU39ApKtu6yyu3xFVWBYZHpq417kFK7bbdW0/fU1uY8FwA7R3D1BUoQV2Wrio1jKu3HSnqAIsf148ozv0LJkt0CHEzZT9gJJwOP2J7U6GbKWCVJkgwsGbQlbRFLjJNtHwF8gzki5/WSTe8Anqwb+xrwM+DbPTzm9fhTY1dKgdxZwJ+BtzGvuDoAks6KjNSllef+2faplEBmvYroe0/8OGxt9t/HXD5Lmsfnduax/RAwi3Kw4LPAhW3adwiwBkU8/uy6Oe+IAO/jNHlXLah//0mSJMlCRB5ESHok9qO9Xlm6Gwb8JT5PBr4IHB5LgXsQS3Z1jKMoECzT4F6jZy4CfA5Y1/Yj0bYVJVA5s76/7b3qxm8PXBr7tdaknMKsVwVoiO17Jd1NOXzRSDFhMnCgpLNjGXFPymnXTueBkl0bA/zZ9sPt2Bdzvy7peGCkpE8AN1BO8U6OLtXvqN9JGaskSZIFTwZtSTsMAU6UtBzwGnA/ZakUysnPU6MshyjLkL+sn8D2K5JOoJwMbYctKUt11dIc1wJrS1rB9mM9jP8iMEbSi2Hz7hXtz10kbV7p+3Wg/mDFjyhlL+bB9kRJNSH22ZQs4L5N7Gg6T3AR5Z3s3+DepJgfYKbtL9XZYUn/RQmGPw0cKul04CWKePyeLZ6bJEmSDDJSxipJko5JGaskSZLO6auMVe5pS5IkSZIkGQRk0JYkSZIkSTIIyD1tSZ+QZOA429+K64OBIbZHdzDHCOAV2zfG9TjqZKL6kyhXckUHBYI7mXsEIeNVaRtHD/5I2hFY2/bR/W1TzL8icILtnUMua8WojdcrUsYqmR+kfFWStCYzbUlfeRn4TEhbdYykxYARwIf706ge2BNYsZMBYed8w/Yl/RGwNbPT9qO2d47LYcAn+/qsJEmSZMGSQVvSV16jaF7OU7Ff0nslXS1pZvz8t2gfJ+k4SZMoagf7AgdFnbUtYviWkm6U9ICknStzHiLp1pjzh5X230iaKukuSV+NtkXjWXdKukPSQTHXcODcmhqCpA0lXRPjL5e0QoyfLOnHkq6haIlOlnSMpFtCHaJma9tImiXph5JuD5uGRvuekk6StGz0WSTa3yrpIUmLS1pd0mVh53WVsdX3eYykj1SUFKZJWkbSqvEelqBoi9ZUIXaR9CdJ7465FpF0f2+D8CRJkmT+kUFb0h+cDOwuqb5M/knAObbXBc4FTqjcez+wte3PAqcBY6Ly/3VxfwVgc0qNs6MBJG1Dqbm2MSVbtKGkLaP/l21vSAnIRkUh3WHASrbXsf0h4KxYoryNUgJkGCXoPBHYOcaPpZTpqLGc7Y/Y/llcL2Z7Y+BA4IjevS6etL0BcCpFueANbD8LzKAU3AX4FHC57VcpwfH+YefBwCmVobX3+a24t1/4twWlBEht/leAw5mjCjGeUqJl9+iyNTCjkVC9UsYqSZJkQMmgLekztp+jaIaOqru1KUXCCoroe7U22kW2Z9Oc39h+PYTel4+2beLPNOB2YCgliIMSqM0ApgCrRPsDwPsknShpW+C5Bs9ZC1gHuFLSdErx3pUr98fX9f91/JwKrNpgvmY1dKrtPc0xnqK5CkXearykIZQl5IvCztMpgW2N6vu8AThO0ihK0PlaE5tqjAVqNeC+DJzV0IGUsUqSJBlQ8iBC0l/8DyWQavgXflANXP7Zw3wvVz6r8vMntk+vdozN/1sDm9p+UdJk4C22n5a0HvAJYD/g85SgZK7hwF22N21iR72dNbtm0/i/n3pZL5hX2qunOS4BfqIij7Uh8AdgaeCZyJ61tNP20ZL+j7JvbYqkrYF/NRmH7Yck/V3SR4F/Z07WrSmpiJAkSbLgyUxb0i/Yfoqinbl3pflGSqYISiBwfZPhz9OevNXlwJcj64SklSS9B1gWeDoCtqHAJnH/XcAitn8F/ADYoMHz7gPeLWnTGLO4pA+2YUsz/gSsKOkDMd97gfWA6e1OYPsFiuzV8ZRTp7Mjm/mgpM/FvIqAdB4krR4apMdQloKH1nVp9L7PpCyTXthDBjRJkiQZIDJoS/qTnwHVDeyjgL0kzaTISh3QZNzvgP+oO4gwD7avoCy33iTpDmACJfi4DFgsnnMUZYkUYCVgciwnjgO+E+3jgNOifVFgZ8oG/hmU4KrXJ1ltv0zRXz0r5p8AfCX2qnXC+Jinujy7O7B32HkXsFOTsQfGoYMZlP1sv6+7P4kiBzZdUm0Z9hKKXFmrTGmSJEkygKSMVZIkSBpOOQzS1onYlLFKkiTpHPVRxir3tCXJmxxJhwH/SRt72ZIkSZKBo+uWRyVZ0s8q1wdLGt3DmBGSPly53lfSl1qN6YVdq0q6s8mzJ9a1jVOlNlmT+XaMv2znC5JWlDQhPg+T1C/FWCUtKemquqW52r1xkh6UNCPqoJ0jaaU25txCpT7bdElL9YedbTzzQ5VaaE+F3dMlXdXBHHtKOqmf7BmtokbRMbaPtv1e2832HCZJkiQLAd2YaatV6P9Jo1pTTRgBvEDZOI/t0+aTbf2G7Uso+5D6hKTFGpWECImnagX94UCvZY8qrA8s3uIU5CG2J0gSpRbaJEnrRH2xZuwO/LftBbYfy/YdlPcy32W3FkZSxirpb1LCKkl6pusybbSu0P8pSTdHlfirJC0vaVXqKvJXsxaRZZqiUoH/Yklvj/aG1fEjo3adSsX726sZvN6gQVpBX9I7VFQKZsb7W1flpOcvgWEx1+rN/HZhDPA3YLuYcxtJN8W7uEjSEElfoZTyOFzSudFvHtWE8OceST+PrNwVtaycpFGS7o7+F0Tb0pLGxjzTJDXb9F//fc1jY7RvpKLwMCN+Z2qnN1eM7+hPkn5amecFST+K/lMkLR/tDVUm6mxo9ju7UbTdJOlYReY3fjeGVcbfIGnddvxNkiRJFhzdGLRB8wr91wOb2F4fuAA41PYsGlfkr3EO8O2o6n8Hc1fBb1Qd/3Hg41HxfhfmVgHoLYOxgv4PgWnx3r5LUUZ4HPgKcF3M9ec2fL8dGBpB4ffD5g0opSy+aftMSsbxENu7q7VqwprAybY/CDwDfDbaDwPWD1v3jbbvAX+wvRGwFXCspKVbGdrMxgh8xwMH2F4v3lntHQ+j/J58iBIYrxLtSwNTov+1wD7R3kplokaz39mzgH2jJl21rMeZFD1WJL0fWNL2zFa+JkmSJAuergzaWlToXxm4XKVcxCFAy3pcEfQtZ/uaaDob2LLSpVFl+8WBn8czLgLW7sncNtoHYwX9zSkqCNj+A/DOBkF0O9QK625CeZc3hD8jgfc26N9KNeFB27V6adV3OZOiRboHJVNbm+eweNZk4C3APFmtOprZuBbwmO1bofx+Vt7x1baftf0v4O6KT68Atb2OVVtbqUw0/Z2VtBywjO0bo/28yrCLgB0kLU75Psc1ck4pY5UkSTKgdOOethqNKvSfCBxn+xKVKvqj+/iMRpXtDwL+TimouggtKtEH3VpBXw3aelNfZn3g6pjvStu79tC/mWrCqsytsjAbqB1a2J4SjO8I/ECluK6Az9q+rwNbG9oYS43NfK+3qfb9vuo59Xiafe+0mLeRbY0nKEWJr6TUffs8Zf9io35nULK3LLnCmlkrKEmSZAHTtUGb7ack1Sr0j43mZYFH4vPISvfngbc1mONZSU9L2iKWTb8IXFPfr45lgYdtvy5pJKV4ayveqKBv+x71soK+pLkq6APPqZxo/JztiyQJWNf2jPrxigr6wB0qygBD657fqoL+L5pU0L+WEswdFQHyk7afK2b0TNi7PyU7eBnlvZ4saQ3b90t6K7Cy7T/WDb08nnluvJeVgFdbPGcRYBXbkyRdD+xGKTJ7ObC/pP1tW9L6tqf1YPaURjYC91K+441s3xr72V5qOVNzaioTv6CBykSz39mQ9Hpe0ia2pzBHqaLGmZQix9eFukVLUsYqSZJkwdOVy6MV6iv0j6YsF17H3JmsVhX5R1L2M82k7D86sodnngKMlDSFsm+spcZmF1fQHw0Mj/d2NHMHya04Nuz4I7ARsJXtV2w/Qdl3dX7MOYV55ZlaqSY0Y1Hgl9F3GmVv4zMUZYXFgZmxYf+ongxvZmPsC9wFODF8u5Ky3Nob2lGZaPY7uzdwhqSbKJm3N37HbE8FniMVEZIkSRZaUhEh6RXqsIJ+MvBIGuKia1orqLuC7QPiekXK3r2htl/vaa5UREiSJOkc9VERodszbcl8IP7C/xVztDyTwcH2kS29k3JK+L8AVApJ3wx8r52ALUmSJBkYMtOWJEnHZKYtSZKkczLTliwQJM2OLM0MtVk0WNKNPfVp89lvSH2pD/JdqpMrm1+oFF4eXrluKGHWYNylUZpjftl1ZJwMRtKBcVAiSZIkGSR07enRpN95qVY+RNIngJ8wp6BvQ2z3e4DUR/muEVTkyhY2bPdZ3zVO3arRMqftwyuXB1JO/77Ym+ekjFXSn6SEVZK0R2bakt7wNuDp2oUayEZFe23T+4jIPk2QdK+kcyO4QNIno+16SSfUMmrNUEVkXQ1kyaK9kYTWqswrV9ZQEkpF5usEFdmpByTtHO2LSDpFRQZrYmTGdm5saUv7f63G0lWzJL1LRR7t65X20ZK+1exda45E1ymU2oSrhA93qkifHVTxa2eVIsorUnRdJ0naW9KYyvP2kXRcJ34lSZIk858M2pJ2WSqCnXspNb2OgqK1SXPZqCrrU7I7awPvAzaT9BaKUsN2tjcH3t2hTfPIkkV7IwmtWcwrV9ZKEmoFitrADpSSJQCfoSgTfIgix7Vph/bWaCZdVeMC5ihcQCl4e1EP73qt8GV9SpmblWyvY/tD1JXxsH0C8CilnMpW8bwdVRQRAPaqHwOpiJAkSTLQZNCWtMtLEewMBbYFzolsWSvZqCq32H44lu2mU4KfocADth+MPud3aFMzWbJ2JbRaSUL9xvbrtu8Glq/Me1G0/41Sv64RjU73VNuaSVcRNk8D3iNpRUnrAU/b/iut3/VfomguwAPA+ySdKGlbSv21ptj+J0VFYwdJQ4HFo9hyfb8zbA+3PXzRt/ZGkSxJkiTpC7mnLekY2zepiKO/myayUQ1oJNfUnjxCc5rJkvVWQqvap2qv6n72RL00WTNZMmguUTUB2Bn4f5RMWO35zSS6qrJkT0ew9wlgP0qm7ss92HyE2Ts5AAAKgElEQVQmJSt5L1lgN0mSZKEkg7akYyIbsyglOGkoG2X78TamupeSEVo1li936aF/Pc1kyZpJaNXLlbWUhGrA9RS1i7MpAesI5hZerzEZ2EPSVaEfOpLmWblmXAD8nLLUWTvw0ZZEVwTUr9j+laQ/01gAviZN9iSA7ZtjmXYDYN2ejEsZqyRJkgVPBm1JuyylIrMFJeMzMjRHr5D0AYpsFJTTmXsAPQZttl+KDfeXSXoSuKVJ18WYOztVYzRlr9cjFMmo1SrtZ6nIOL3InIDud8AESTtRdE1HAWMlHQI8QdnL1YpfAR8D7qTIbN1MRQqqwhmUpcsZkgzcRoeFiG3fpaJR+ojtx6Kt2buu135dieJ/bftDo2efAfxe0mOxrw3gQmCY7acb9E+SJEkGmCyumwwoCmml2B93MvAn22Pq+hxA2Vh/aMNJFiAVe99JCTI3i/1tg544uTvG9tU99c3iukmSJJ2jPhbXzUxbMtDsI2kksARlg339fq3/Bdah7MtaGJioUgB3CeCobgjYwp9bgBntBGxJkiTJwJCZtiRJOiYzbUmSJJ3T10xblvzoAtQHiakoKzEhPg+XdELrkW3bNFrSwb0Yt1xdYdmqfcMk9agaUD9HX5H0uSheO6nS9qF459MlPSXpwfh8VQfzvlEouB9s7NX7TpIkSQYPuTzaHfRaYsr2o5TSEti+jbJpfiBZDvg6cArMbR+loOxw4NJO5ugH9ga+bvuNoC3qmNXe+Thgou0J/fS8hZ6UsUr6g5SvSpLOyExb99GpxNQbYuaaW5h9tKSxKvJTD4T0UW3sD1Skp66UdH5PGZ6Y4xhJt0j6o6Qtov2D0TY97FuToj6werQdW7NP0hLAkRQFgemSdqnPLkW/VevnaPUe6uzcVUX26U5Jx0Tb4ZSiuqfV5urB120k3RQZz4skDYn2jVRksWaEz8vEkBXVWNLqBUk/iv5TNEeiq6H0Vp0Nw2LMTEkXS3p7xYaZYd+xle/9OknDKuNvkNRj2Y8kSZJkwZJBW3fQV4mpZgylFGjdGDhC0uKShgOfpchSfYaS+WqHxWxvTJGyOiLa9gWOjyzhcOBh4DDgz6G+cEhtsO1XgMOB8XFvfItnzTVHO+9B0orAMcBHo89Gkj5t+0hK9nH3qj2NUKmP9n1ga9sbxLhvRsA5HjjA9nrA1sBLMayZpNXSwJTofy2wT7S3kt6qcQ7w7ehzB3Pe91nAvrY3Ze4yIWcCe4YP7weWtD2zgX8pY5UkSTKAZNDWHfRVYqoZ/2f7ZdtPUuquLU/JOv3W9ku2n6fUPmuHX8fPqRQJK4CbgO9K+jbwXtsvNRrYD7TzHjYCJtt+wvZrlICokwAXYBOKtuoNKjXtRlIkqtYCHrN9K4Dt5+IZ0FzS6hVgYnyuvrNW0luoyHUtZ/uaaDob2FLlhOgytm+M9mpR4IsoElaLU5QTxjVyLmWskiRJBpbc09Zl9FJiqhn9KT1Vm+sN2Sbb50m6GdieoiH6FYpuZru8xtz/8HhLk37tvIe+SmrV5rjS9q5zNZalxmbHtJtJWr3qOUe7m0ld0WLeRrY1nsB+UdKVwE6U0iq9PtmUJEmSzD8yaOsy1H8SU824Hjhd0k8ovz/bU+SWemPr+yiC8SfE53WBGRR5pUY8X3dvFrBDzLUBcxQR6vu18x5uBo6PgPdpYFeKtmknTAFOlrSG7fslvZUian8vZe/aRrZvjf1svc0qtpTesv2spKclbWH7OuCLwDWhR/q8pE1CWP4LdfOeScmaXmf7qZ6MSBmrJEmSBU8Gbd1BXyWm2i7WF0HHJZTg6i+UfVu93eC0C0Wj81Xgb8CRtp+KjfB3Ar+nqCTUmAQcFr7+hCIr9aW4vpUiLYXtf1TniH1tLd+D7cckfSeeIeBS27/txBnbT0jaEzhf0pLR/H3bf5S0C3CipKUoAdvWncxdoR3prZGUgxNvpWQua332Bn4u6Z8UfdQ3vjfbUyU9R4rFJ0mSLLRkcd03OZI2BI6z3bJESN2YmpTTWymb5L9q+/b5ZmTSL9S+t/h8GLCC7QPiekVKIDfU9us9zZXFdZMkSTpHKWOV9JY4CXoe5bRlJ5whaW3KHrKzM2AbNGwf2cTFKFnSPQEkfQn4EfDNdgI2gKlTp74g6b75ZehCwLuAJwfaiPlEN/sG6d9gp5v9exdzDpv1isy0JUnSMZJu68u/Fhd2utm/bvYN0r/BTjf71x++ZcmPJEmSJEmSQUAGbUmSJEmSJIOADNqSJOkNZwy0AfOZbvavm32D9G+w083+9dm33NOWJEmSJEkyCMhMW5IkSZIkySAgg7YkSZIkSZJBQAZtSZK0jaRtJd0n6f4o0DvokDRW0uOhmFFre4ekKyX9KX6+vXLvO+HvfZI+MTBWt4+kVSRNknSPpLsk1QooD3ofJb1F0i2SZoRvP4z2Qe9bFUmLSpomaWJcd41/kmZJukPSdEm3RVs3+becpAmS7o3/BjftT/8yaEuSpC0kLUqRFdsOWBvYNYosDzbGAdvWtR0GXG17TeDquCb8+wLwwRhzSryHhZnXgG/Z/gCwCbBf+NENPr4MfNT2esAwYFtJm9AdvlU5ALinct1t/m1le1ilZlk3+Xc8cJntocB6lO+x3/zLoC1JknbZGLjf9gO2XwEuAHYaYJs6xva1wFN1zTsBZ8fns4FPV9ovsP2y7QeB+ynvYaHF9mM1lRLbz1P+0liJLvDRhRficvH4Y7rAtxqSVga2B86sNHeNf03oCv8kvQ3YEvhfANuv2H6GfvQvg7YkSdplJeChyvXD0dYNLG/7MShBD/CeaB/UPktaFVgfuJku8TGWDqcDjwNX2u4a34L/AQ4FqpJy3eSfgSskTZX01WjrFv/eBzwBnBXL22dKWpp+9C+DtiRJ2kUN2rq9ZtCg9VnSEOBXwIG2n2vVtUHbQuuj7dm2hwErAxtLWqdF90Hlm6QdgMdtT213SIO2hda/YDPbG1C2WewnacsWfQebf4sBGwCn2l4f+Cettb079i+DtiRJ2uVhYJXK9crAowNkS3/zd0krAMTPx6N9UPosaXFKwHau7V9Hc1f5GMtOkyl7gbrFt82AHSXNomw/+KikX9I9/mH70fj5OHAxZTmwW/x7GHg4sr8AEyhBXL/5l0FbkiTtciuwpqTVJC1B2UB7yQDb1F9cAoyMzyOB31bavyBpSUmrAWsCtwyAfW0jSZQ9NffYPq5ya9D7KOndkpaLz0sBWwP30gW+Adj+ju2Vba9K+e/rD7b3oEv8k7S0pGVqn4FtgDvpEv9s/w14SNJa0fQx4G760b/F+t3qJEm6EtuvSfoGcDmwKDDW9l0DbFbHSDofGAG8S9LDwBHA0cCFkvYG/gp8DsD2XZIupPyP9zVgP9uzB8Tw9tkM+CJwR+z9Avgu3eHjCsDZccJuEeBC2xMl3cTg960V3fDdASwPXFz+XcFiwHm2L5N0K93hH8D+wLnxD9sHgL2I39X+8C9lrJIkSZIkSQYBuTyaJEmSJEkyCMigLUmSJEmSZBCQQVuSJEmSJMkgIIO2JEmSJEmSQUAGbUmSJEmSJIOADNqSJEmSJEkGARm0JUmSJEmSDAL+PyLr1SchBwNOAAAAAElFTkSuQmCC\n",
 179 |       "text/plain": [
 180 |        "<Figure size 432x288 with 1 Axes>"
 181 |       ]
 182 |      },
 183 |      "metadata": {
 184 |       "needs_background": "light"
 185 |      },
 186 |      "output_type": "display_data"
 187 |     }
 188 |    ],
 189 |    "source": [
 190 |     "\n",
 191 |     "ax=univ_data.sort_values().plot.barh()\n",
 192 |     "fig=ax.get_figure()\n",
 193 |     "fig.savefig('统计结果.png',bbox_inches='tight')"
 194 |    ]
 195 |   },
 196 |   {
 197 |    "cell_type": "code",
 198 |    "execution_count": 5,
 199 |    "metadata": {},
 200 |    "outputs": [
 201 |     {
 202 |      "data": {
 203 |       "text/plain": [
 204 |        "Successful Participant     18103\n",
 205 |        "Honorable Mention           6643\n",
 206 |        "Meritorious Winner          1918\n",
 207 |        "Disqualified - P            1432\n",
 208 |        "Finalist                     506\n",
 209 |        "Unsuccessful - I             127\n",
 210 |        "Not Judged                    24\n",
 211 |        "Outstanding Winner            13\n",
 212 |        "AMS Award                      6\n",
 213 |        "INFORMS Award                  6\n",
 214 |        "SIAM Award                     5\n",
 215 |        "MAA Award                      3\n",
 216 |        "COMAP Scholarship Award        2\n",
 217 |        "Leonhard Euler Award           1\n",
 218 |        "Vilfredo Pareto Award          1\n",
 219 |        "Rachel Carson Award            1\n",
 220 |        "ASA Award                      1\n",
 221 |        "Cc                             1\n",
 222 |        "Ben Fusaro Award               1\n",
 223 |        "Frank Giordano Award           1\n",
 224 |        "Name: prize, dtype: int64"
 225 |       ]
 226 |      },
 227 |      "execution_count": 5,
 228 |      "metadata": {},
 229 |      "output_type": "execute_result"
 230 |     }
 231 |    ],
 232 |    "source": [
 233 |     "data['prize'].value_counts()"
 234 |    ]
 235 |   },
 236 |   {
 237 |    "cell_type": "code",
 238 |    "execution_count": 6,
 239 |    "metadata": {},
 240 |    "outputs": [
 241 |     {
 242 |      "data": {
 243 |       "text/html": [
 244 |        "<div>\n",
 245 |        "<style scoped>\n",
 246 |        "    .dataframe tbody tr th:only-of-type {\n",
 247 |        "        vertical-align: middle;\n",
 248 |        "    }\n",
 249 |        "\n",
 250 |        "    .dataframe tbody tr th {\n",
 251 |        "        vertical-align: top;\n",
 252 |        "    }\n",
 253 |        "\n",
 254 |        "    .dataframe thead th {\n",
 255 |        "        text-align: right;\n",
 256 |        "    }\n",
 257 |        "</style>\n",
 258 |        "<table border=\"1\" class=\"dataframe\">\n",
 259 |        "  <thead>\n",
 260 |        "    <tr style=\"text-align: right;\">\n",
 261 |        "      <th></th>\n",
 262 |        "      <th>control_number</th>\n",
 263 |        "      <th>student1</th>\n",
 264 |        "      <th>student2</th>\n",
 265 |        "      <th>student3</th>\n",
 266 |        "      <th>university</th>\n",
 267 |        "      <th>prize</th>\n",
 268 |        "    </tr>\n",
 269 |        "  </thead>\n",
 270 |        "  <tbody>\n",
 271 |        "    <tr>\n",
 272 |        "      <th>2850</th>\n",
 273 |        "      <td>2407038</td>\n",
 274 |        "      <td>Jiechuan Gong</td>\n",
 275 |        "      <td>Fantong Xia</td>\n",
 276 |        "      <td>Junhao Zeng</td>\n",
 277 |        "      <td>UESTC</td>\n",
 278 |        "      <td>INFORMS Award</td>\n",
 279 |        "    </tr>\n",
 280 |        "    <tr>\n",
 281 |        "      <th>2901</th>\n",
 282 |        "      <td>2407093</td>\n",
 283 |        "      <td>Haoran Yi</td>\n",
 284 |        "      <td>Junrong Liu</td>\n",
 285 |        "      <td>Zhe Zhao</td>\n",
 286 |        "      <td>Beijing Institute of Technology</td>\n",
 287 |        "      <td>AMS Award</td>\n",
 288 |        "    </tr>\n",
 289 |        "    <tr>\n",
 290 |        "      <th>3208</th>\n",
 291 |        "      <td>2407414</td>\n",
 292 |        "      <td>Jiajun Lei</td>\n",
 293 |        "      <td>Junjie Wang</td>\n",
 294 |        "      <td>Ruiyang Liu</td>\n",
 295 |        "      <td>Xi'an Jiaotong University</td>\n",
 296 |        "      <td>AMS Award</td>\n",
 297 |        "    </tr>\n",
 298 |        "    <tr>\n",
 299 |        "      <th>5532</th>\n",
 300 |        "      <td>2400860</td>\n",
 301 |        "      <td>Xinyu Hu</td>\n",
 302 |        "      <td>Jiarui Liang</td>\n",
 303 |        "      <td>Dongsheng Su</td>\n",
 304 |        "      <td>Zhejiang Sci-Tech University</td>\n",
 305 |        "      <td>Rachel Carson Award</td>\n",
 306 |        "    </tr>\n",
 307 |        "    <tr>\n",
 308 |        "      <th>5656</th>\n",
 309 |        "      <td>2400996</td>\n",
 310 |        "      <td>Zhen Huang</td>\n",
 311 |        "      <td>Honghui Cao</td>\n",
 312 |        "      <td>Zhenning Liu</td>\n",
 313 |        "      <td>Wuhan University</td>\n",
 314 |        "      <td>INFORMS Award</td>\n",
 315 |        "    </tr>\n",
 316 |        "    <tr>\n",
 317 |        "      <th>6086</th>\n",
 318 |        "      <td>2409949</td>\n",
 319 |        "      <td>YANHENG LI</td>\n",
 320 |        "      <td>HONG JIANG</td>\n",
 321 |        "      <td>LING GAN</td>\n",
 322 |        "      <td>Renmin University of China</td>\n",
 323 |        "      <td>COMAP Scholarship Award</td>\n",
 324 |        "    </tr>\n",
 325 |        "    <tr>\n",
 326 |        "      <th>6599</th>\n",
 327 |        "      <td>2410482</td>\n",
 328 |        "      <td>ZIXUAN TANG</td>\n",
 329 |        "      <td>YITING YANG</td>\n",
 330 |        "      <td>XINYU CHEN</td>\n",
 331 |        "      <td>Beijing Normal University</td>\n",
 332 |        "      <td>INFORMS Award</td>\n",
 333 |        "    </tr>\n",
 334 |        "    <tr>\n",
 335 |        "      <th>6947</th>\n",
 336 |        "      <td>2410846</td>\n",
 337 |        "      <td>Heyu Huang</td>\n",
 338 |        "      <td>Jiahui Zhai</td>\n",
 339 |        "      <td>Weibin Li</td>\n",
 340 |        "      <td>Xiamen University</td>\n",
 341 |        "      <td>Ben Fusaro Award</td>\n",
 342 |        "    </tr>\n",
 343 |        "    <tr>\n",
 344 |        "      <th>6989</th>\n",
 345 |        "      <td>2410889</td>\n",
 346 |        "      <td>Wenlong Chen</td>\n",
 347 |        "      <td>Yihui Li</td>\n",
 348 |        "      <td>Wei Zhu</td>\n",
 349 |        "      <td>Shenzhen University</td>\n",
 350 |        "      <td>SIAM Award</td>\n",
 351 |        "    </tr>\n",
 352 |        "    <tr>\n",
 353 |        "      <th>7640</th>\n",
 354 |        "      <td>2411570</td>\n",
 355 |        "      <td>Yutong Wang</td>\n",
 356 |        "      <td>Haoqi Lv</td>\n",
 357 |        "      <td>Pengkun Wang</td>\n",
 358 |        "      <td>China University of Geosciences Being</td>\n",
 359 |        "      <td>Frank Giordano Award</td>\n",
 360 |        "    </tr>\n",
 361 |        "    <tr>\n",
 362 |        "      <th>9540</th>\n",
 363 |        "      <td>2413552</td>\n",
 364 |        "      <td>Qianjing Zhu</td>\n",
 365 |        "      <td>Wenhao Yuan</td>\n",
 366 |        "      <td>Yunjie Shao</td>\n",
 367 |        "      <td>Soochow University</td>\n",
 368 |        "      <td>INFORMS Award</td>\n",
 369 |        "    </tr>\n",
 370 |        "    <tr>\n",
 371 |        "      <th>9553</th>\n",
 372 |        "      <td>2413565</td>\n",
 373 |        "      <td>Xu Yan</td>\n",
 374 |        "      <td>Zhou Yangyujie</td>\n",
 375 |        "      <td>Huo Zhengyji</td>\n",
 376 |        "      <td>Xi'an University of Posts and Telecommunications</td>\n",
 377 |        "      <td>INFORMS Award</td>\n",
 378 |        "    </tr>\n",
 379 |        "    <tr>\n",
 380 |        "      <th>10727</th>\n",
 381 |        "      <td>2401298</td>\n",
 382 |        "      <td>Junjie Fei</td>\n",
 383 |        "      <td>Yuxin Shen</td>\n",
 384 |        "      <td>Kaijie Du</td>\n",
 385 |        "      <td>Fudan University</td>\n",
 386 |        "      <td>AMS Award</td>\n",
 387 |        "    </tr>\n",
 388 |        "    <tr>\n",
 389 |        "      <th>13320</th>\n",
 390 |        "      <td>2417004</td>\n",
 391 |        "      <td>Jiahao Zhu</td>\n",
 392 |        "      <td>Chengzhen Han</td>\n",
 393 |        "      <td>Dongyi Jiang</td>\n",
 394 |        "      <td>East China Normal University</td>\n",
 395 |        "      <td>INFORMS Award</td>\n",
 396 |        "    </tr>\n",
 397 |        "    <tr>\n",
 398 |        "      <th>14127</th>\n",
 399 |        "      <td>2417831</td>\n",
 400 |        "      <td>Yue Zhong</td>\n",
 401 |        "      <td>Yueming Cao</td>\n",
 402 |        "      <td>Bo Wu</td>\n",
 403 |        "      <td>Tsinghua University</td>\n",
 404 |        "      <td>Leonhard Euler Award</td>\n",
 405 |        "    </tr>\n",
 406 |        "    <tr>\n",
 407 |        "      <th>16133</th>\n",
 408 |        "      <td>2401919</td>\n",
 409 |        "      <td>Shang Yue Li</td>\n",
 410 |        "      <td>YuChun Yang</td>\n",
 411 |        "      <td>HuiXue Su</td>\n",
 412 |        "      <td>Renmin University of China</td>\n",
 413 |        "      <td>SIAM Award</td>\n",
 414 |        "    </tr>\n",
 415 |        "    <tr>\n",
 416 |        "      <th>16293</th>\n",
 417 |        "      <td>2419588</td>\n",
 418 |        "      <td>Haoyang Peng</td>\n",
 419 |        "      <td>Wei Li</td>\n",
 420 |        "      <td>Siyuan Wang</td>\n",
 421 |        "      <td>National University of Defense Technology</td>\n",
 422 |        "      <td>AMS Award</td>\n",
 423 |        "    </tr>\n",
 424 |        "    <tr>\n",
 425 |        "      <th>16681</th>\n",
 426 |        "      <td>2419984</td>\n",
 427 |        "      <td>Zeyang Wu</td>\n",
 428 |        "      <td>Xinhiang Li</td>\n",
 429 |        "      <td>Xiran Ni</td>\n",
 430 |        "      <td>Tongji University</td>\n",
 431 |        "      <td>AMS Award</td>\n",
 432 |        "    </tr>\n",
 433 |        "    <tr>\n",
 434 |        "      <th>18654</th>\n",
 435 |        "      <td>2422054</td>\n",
 436 |        "      <td>Yi Wu</td>\n",
 437 |        "      <td>Jiankai Li</td>\n",
 438 |        "      <td>Chenyang Pan</td>\n",
 439 |        "      <td>Shanghai Jiao Tong University</td>\n",
 440 |        "      <td>Vilfredo Pareto Award</td>\n",
 441 |        "    </tr>\n",
 442 |        "    <tr>\n",
 443 |        "      <th>19231</th>\n",
 444 |        "      <td>2422656</td>\n",
 445 |        "      <td>Aranjinsuren Enkhbat</td>\n",
 446 |        "      <td>Bisrat Kassie</td>\n",
 447 |        "      <td>Jordan Sims</td>\n",
 448 |        "      <td>Brandeis University</td>\n",
 449 |        "      <td>MAA Award</td>\n",
 450 |        "    </tr>\n",
 451 |        "    <tr>\n",
 452 |        "      <th>20886</th>\n",
 453 |        "      <td>2424371</td>\n",
 454 |        "      <td>Xinyu Sui</td>\n",
 455 |        "      <td>Ji Zheng</td>\n",
 456 |        "      <td>Yuhang Ma</td>\n",
 457 |        "      <td>Xi'an Jiaotong University</td>\n",
 458 |        "      <td>SIAM Award</td>\n",
 459 |        "    </tr>\n",
 460 |        "    <tr>\n",
 461 |        "      <th>22721</th>\n",
 462 |        "      <td>2425792</td>\n",
 463 |        "      <td>Cunxin Fan</td>\n",
 464 |        "      <td>Haonan Wang</td>\n",
 465 |        "      <td>Ke Zhang</td>\n",
 466 |        "      <td>Shanghai Jiao Tong University</td>\n",
 467 |        "      <td>SIAM Award</td>\n",
 468 |        "    </tr>\n",
 469 |        "    <tr>\n",
 470 |        "      <th>23819</th>\n",
 471 |        "      <td>2426941</td>\n",
 472 |        "      <td>Wei Sun</td>\n",
 473 |        "      <td>Ting Mei</td>\n",
 474 |        "      <td>Fangyuan Liu</td>\n",
 475 |        "      <td>Hunan Normal University</td>\n",
 476 |        "      <td>AMS Award</td>\n",
 477 |        "    </tr>\n",
 478 |        "    <tr>\n",
 479 |        "      <th>25273</th>\n",
 480 |        "      <td>2428463</td>\n",
 481 |        "      <td>Yilin Ma</td>\n",
 482 |        "      <td>Xuantong Wang</td>\n",
 483 |        "      <td>Jingyi Sun</td>\n",
 484 |        "      <td>North China University of Technology</td>\n",
 485 |        "      <td>ASA Award</td>\n",
 486 |        "    </tr>\n",
 487 |        "    <tr>\n",
 488 |        "      <th>25929</th>\n",
 489 |        "      <td>2429166</td>\n",
 490 |        "      <td>Christopher Kan</td>\n",
 491 |        "      <td>Brandon Lu</td>\n",
 492 |        "      <td>Benny Sun</td>\n",
 493 |        "      <td>Duke University</td>\n",
 494 |        "      <td>MAA Award</td>\n",
 495 |        "    </tr>\n",
 496 |        "    <tr>\n",
 497 |        "      <th>25967</th>\n",
 498 |        "      <td>2429211</td>\n",
 499 |        "      <td>Arjun Taneja</td>\n",
 500 |        "      <td>Paco Navarro</td>\n",
 501 |        "      <td>Max Collins</td>\n",
 502 |        "      <td>Harvey Mudd College</td>\n",
 503 |        "      <td>COMAP Scholarship Award</td>\n",
 504 |        "    </tr>\n",
 505 |        "    <tr>\n",
 506 |        "      <th>26675</th>\n",
 507 |        "      <td>2402960</td>\n",
 508 |        "      <td>Hangyi Yao</td>\n",
 509 |        "      <td>Jiting Chen</td>\n",
 510 |        "      <td>Zeyu Liang</td>\n",
 511 |        "      <td>Ningbo University</td>\n",
 512 |        "      <td>SIAM Award</td>\n",
 513 |        "    </tr>\n",
 514 |        "    <tr>\n",
 515 |        "      <th>27150</th>\n",
 516 |        "      <td>2429973</td>\n",
 517 |        "      <td>Henry Li</td>\n",
 518 |        "      <td>Yuxin Li</td>\n",
 519 |        "      <td>Crystal Su</td>\n",
 520 |        "      <td>Columbia University</td>\n",
 521 |        "      <td>MAA Award</td>\n",
 522 |        "    </tr>\n",
 523 |        "  </tbody>\n",
 524 |        "</table>\n",
 525 |        "</div>"
 526 |       ],
 527 |       "text/plain": [
 528 |        "       control_number              student1        student2      student3  \\\n",
 529 |        "2850          2407038         Jiechuan Gong     Fantong Xia   Junhao Zeng   \n",
 530 |        "2901          2407093             Haoran Yi     Junrong Liu      Zhe Zhao   \n",
 531 |        "3208          2407414            Jiajun Lei     Junjie Wang   Ruiyang Liu   \n",
 532 |        "5532          2400860              Xinyu Hu    Jiarui Liang  Dongsheng Su   \n",
 533 |        "5656          2400996            Zhen Huang     Honghui Cao  Zhenning Liu   \n",
 534 |        "6086          2409949            YANHENG LI      HONG JIANG      LING GAN   \n",
 535 |        "6599          2410482           ZIXUAN TANG     YITING YANG    XINYU CHEN   \n",
 536 |        "6947          2410846            Heyu Huang     Jiahui Zhai     Weibin Li   \n",
 537 |        "6989          2410889          Wenlong Chen        Yihui Li       Wei Zhu   \n",
 538 |        "7640          2411570           Yutong Wang        Haoqi Lv  Pengkun Wang   \n",
 539 |        "9540          2413552          Qianjing Zhu     Wenhao Yuan   Yunjie Shao   \n",
 540 |        "9553          2413565                Xu Yan  Zhou Yangyujie  Huo Zhengyji   \n",
 541 |        "10727         2401298            Junjie Fei      Yuxin Shen     Kaijie Du   \n",
 542 |        "13320         2417004            Jiahao Zhu   Chengzhen Han  Dongyi Jiang   \n",
 543 |        "14127         2417831             Yue Zhong     Yueming Cao         Bo Wu   \n",
 544 |        "16133         2401919          Shang Yue Li     YuChun Yang     HuiXue Su   \n",
 545 |        "16293         2419588          Haoyang Peng          Wei Li   Siyuan Wang   \n",
 546 |        "16681         2419984             Zeyang Wu     Xinhiang Li      Xiran Ni   \n",
 547 |        "18654         2422054                 Yi Wu      Jiankai Li  Chenyang Pan   \n",
 548 |        "19231         2422656  Aranjinsuren Enkhbat   Bisrat Kassie   Jordan Sims   \n",
 549 |        "20886         2424371             Xinyu Sui        Ji Zheng     Yuhang Ma   \n",
 550 |        "22721         2425792            Cunxin Fan     Haonan Wang      Ke Zhang   \n",
 551 |        "23819         2426941               Wei Sun        Ting Mei  Fangyuan Liu   \n",
 552 |        "25273         2428463              Yilin Ma   Xuantong Wang    Jingyi Sun   \n",
 553 |        "25929         2429166       Christopher Kan      Brandon Lu     Benny Sun   \n",
 554 |        "25967         2429211          Arjun Taneja    Paco Navarro   Max Collins   \n",
 555 |        "26675         2402960            Hangyi Yao     Jiting Chen    Zeyu Liang   \n",
 556 |        "27150         2429973              Henry Li        Yuxin Li    Crystal Su   \n",
 557 |        "\n",
 558 |        "                                             university  \\\n",
 559 |        "2850                                              UESTC   \n",
 560 |        "2901                    Beijing Institute of Technology   \n",
 561 |        "3208                          Xi'an Jiaotong University   \n",
 562 |        "5532                       Zhejiang Sci-Tech University   \n",
 563 |        "5656                                   Wuhan University   \n",
 564 |        "6086                         Renmin University of China   \n",
 565 |        "6599                          Beijing Normal University   \n",
 566 |        "6947                                  Xiamen University   \n",
 567 |        "6989                                Shenzhen University   \n",
 568 |        "7640              China University of Geosciences Being   \n",
 569 |        "9540                                 Soochow University   \n",
 570 |        "9553   Xi'an University of Posts and Telecommunications   \n",
 571 |        "10727                                  Fudan University   \n",
 572 |        "13320                      East China Normal University   \n",
 573 |        "14127                               Tsinghua University   \n",
 574 |        "16133                        Renmin University of China   \n",
 575 |        "16293         National University of Defense Technology   \n",
 576 |        "16681                                 Tongji University   \n",
 577 |        "18654                     Shanghai Jiao Tong University   \n",
 578 |        "19231                               Brandeis University   \n",
 579 |        "20886                         Xi'an Jiaotong University   \n",
 580 |        "22721                     Shanghai Jiao Tong University   \n",
 581 |        "23819                           Hunan Normal University   \n",
 582 |        "25273              North China University of Technology   \n",
 583 |        "25929                                   Duke University   \n",
 584 |        "25967                               Harvey Mudd College   \n",
 585 |        "26675                                 Ningbo University   \n",
 586 |        "27150                               Columbia University   \n",
 587 |        "\n",
 588 |        "                         prize  \n",
 589 |        "2850             INFORMS Award  \n",
 590 |        "2901                 AMS Award  \n",
 591 |        "3208                 AMS Award  \n",
 592 |        "5532       Rachel Carson Award  \n",
 593 |        "5656             INFORMS Award  \n",
 594 |        "6086   COMAP Scholarship Award  \n",
 595 |        "6599             INFORMS Award  \n",
 596 |        "6947          Ben Fusaro Award  \n",
 597 |        "6989                SIAM Award  \n",
 598 |        "7640      Frank Giordano Award  \n",
 599 |        "9540             INFORMS Award  \n",
 600 |        "9553             INFORMS Award  \n",
 601 |        "10727                AMS Award  \n",
 602 |        "13320            INFORMS Award  \n",
 603 |        "14127     Leonhard Euler Award  \n",
 604 |        "16133               SIAM Award  \n",
 605 |        "16293                AMS Award  \n",
 606 |        "16681                AMS Award  \n",
 607 |        "18654    Vilfredo Pareto Award  \n",
 608 |        "19231                MAA Award  \n",
 609 |        "20886               SIAM Award  \n",
 610 |        "22721               SIAM Award  \n",
 611 |        "23819                AMS Award  \n",
 612 |        "25273                ASA Award  \n",
 613 |        "25929                MAA Award  \n",
 614 |        "25967  COMAP Scholarship Award  \n",
 615 |        "26675               SIAM Award  \n",
 616 |        "27150                MAA Award  "
 617 |       ]
 618 |      },
 619 |      "execution_count": 6,
 620 |      "metadata": {},
 621 |      "output_type": "execute_result"
 622 |     }
 623 |    ],
 624 |    "source": [
 625 |     "avard_result=data.loc[(data['prize'].str.contains('Award'))]\n",
 626 |     "avard_result"
 627 |    ]
 628 |   },
 629 |   {
 630 |    "cell_type": "code",
 631 |    "execution_count": 7,
 632 |    "metadata": {
 633 |     "scrolled": false
 634 |    },
 635 |    "outputs": [
 636 |     {
 637 |      "data": {
 638 |       "text/html": [
 639 |        "<div>\n",
 640 |        "<style scoped>\n",
 641 |        "    .dataframe tbody tr th:only-of-type {\n",
 642 |        "        vertical-align: middle;\n",
 643 |        "    }\n",
 644 |        "\n",
 645 |        "    .dataframe tbody tr th {\n",
 646 |        "        vertical-align: top;\n",
 647 |        "    }\n",
 648 |        "\n",
 649 |        "    .dataframe thead th {\n",
 650 |        "        text-align: right;\n",
 651 |        "    }\n",
 652 |        "</style>\n",
 653 |        "<table border=\"1\" class=\"dataframe\">\n",
 654 |        "  <thead>\n",
 655 |        "    <tr style=\"text-align: right;\">\n",
 656 |        "      <th></th>\n",
 657 |        "      <th>control_number</th>\n",
 658 |        "      <th>student1</th>\n",
 659 |        "      <th>student2</th>\n",
 660 |        "      <th>student3</th>\n",
 661 |        "      <th>university</th>\n",
 662 |        "      <th>prize</th>\n",
 663 |        "    </tr>\n",
 664 |        "  </thead>\n",
 665 |        "  <tbody>\n",
 666 |        "    <tr>\n",
 667 |        "      <th>102</th>\n",
 668 |        "      <td>2400114</td>\n",
 669 |        "      <td>Zishuo Wang</td>\n",
 670 |        "      <td>Yucheng Chen</td>\n",
 671 |        "      <td>Yanjinghao Xu</td>\n",
 672 |        "      <td>Huazhong University of Science and Technology</td>\n",
 673 |        "      <td>Successful Participant</td>\n",
 674 |        "    </tr>\n",
 675 |        "    <tr>\n",
 676 |        "      <th>124</th>\n",
 677 |        "      <td>2400139</td>\n",
 678 |        "      <td>Boheng Lin</td>\n",
 679 |        "      <td>Zhipu Hu</td>\n",
 680 |        "      <td>Zhenghao Gao</td>\n",
 681 |        "      <td>Huazhong University of Science and Technology</td>\n",
 682 |        "      <td>Honorable Mention</td>\n",
 683 |        "    </tr>\n",
 684 |        "    <tr>\n",
 685 |        "      <th>132</th>\n",
 686 |        "      <td>2400147</td>\n",
 687 |        "      <td>He Yin</td>\n",
 688 |        "      <td>HaiZhuo Wang</td>\n",
 689 |        "      <td>Haoze Li</td>\n",
 690 |        "      <td>Huazhong University of Science and Technology</td>\n",
 691 |        "      <td>Successful Participant</td>\n",
 692 |        "    </tr>\n",
 693 |        "    <tr>\n",
 694 |        "      <th>150</th>\n",
 695 |        "      <td>2400167</td>\n",
 696 |        "      <td>Jingchao Lu</td>\n",
 697 |        "      <td>RuiXin Dong</td>\n",
 698 |        "      <td>Yaxiang Gao</td>\n",
 699 |        "      <td>Huazhong University of Science and Technology</td>\n",
 700 |        "      <td>Successful Participant</td>\n",
 701 |        "    </tr>\n",
 702 |        "    <tr>\n",
 703 |        "      <th>165</th>\n",
 704 |        "      <td>2400185</td>\n",
 705 |        "      <td>Jinlong Ma</td>\n",
 706 |        "      <td>Zhimin Luo</td>\n",
 707 |        "      <td>Leying Fu</td>\n",
 708 |        "      <td>Huazhong University of Science and Technology</td>\n",
 709 |        "      <td>Successful Participant</td>\n",
 710 |        "    </tr>\n",
 711 |        "    <tr>\n",
 712 |        "      <th>...</th>\n",
 713 |        "      <td>...</td>\n",
 714 |        "      <td>...</td>\n",
 715 |        "      <td>...</td>\n",
 716 |        "      <td>...</td>\n",
 717 |        "      <td>...</td>\n",
 718 |        "      <td>...</td>\n",
 719 |        "    </tr>\n",
 720 |        "    <tr>\n",
 721 |        "      <th>28081</th>\n",
 722 |        "      <td>2403746</td>\n",
 723 |        "      <td>Jiaye Peng</td>\n",
 724 |        "      <td>Yuanzheng Li</td>\n",
 725 |        "      <td>Weiping Shen</td>\n",
 726 |        "      <td>Huazhong University of Science and Technology</td>\n",
 727 |        "      <td>Successful Participant</td>\n",
 728 |        "    </tr>\n",
 729 |        "    <tr>\n",
 730 |        "      <th>28083</th>\n",
 731 |        "      <td>2403748</td>\n",
 732 |        "      <td>Zichuan Wang</td>\n",
 733 |        "      <td>XAuanze Young</td>\n",
 734 |        "      <td>Yuhang Ding</td>\n",
 735 |        "      <td>Huazhong University of Science and Technology</td>\n",
 736 |        "      <td>Honorable Mention</td>\n",
 737 |        "    </tr>\n",
 738 |        "    <tr>\n",
 739 |        "      <th>28096</th>\n",
 740 |        "      <td>2403761</td>\n",
 741 |        "      <td>Xiangyi Li</td>\n",
 742 |        "      <td>Lin Chen</td>\n",
 743 |        "      <td>Litong Shi</td>\n",
 744 |        "      <td>Huazhong University of Science and Technology</td>\n",
 745 |        "      <td>Disqualified - P</td>\n",
 746 |        "    </tr>\n",
 747 |        "    <tr>\n",
 748 |        "      <th>28291</th>\n",
 749 |        "      <td>2403964</td>\n",
 750 |        "      <td>Huadong Song</td>\n",
 751 |        "      <td>Hanxiang Lv</td>\n",
 752 |        "      <td>Liang Zhang</td>\n",
 753 |        "      <td>Huazhong University of Science and Technology</td>\n",
 754 |        "      <td>Successful Participant</td>\n",
 755 |        "    </tr>\n",
 756 |        "    <tr>\n",
 757 |        "      <th>28297</th>\n",
 758 |        "      <td>2403971</td>\n",
 759 |        "      <td>Leon Huang</td>\n",
 760 |        "      <td>jared zhou</td>\n",
 761 |        "      <td>Joe</td>\n",
 762 |        "      <td>Huazhong University of Science and Technology</td>\n",
 763 |        "      <td>Honorable Mention</td>\n",
 764 |        "    </tr>\n",
 765 |        "  </tbody>\n",
 766 |        "</table>\n",
 767 |        "<p>511 rows × 6 columns</p>\n",
 768 |        "</div>"
 769 |       ],
 770 |       "text/plain": [
 771 |        "       control_number      student1       student2       student3  \\\n",
 772 |        "102           2400114   Zishuo Wang   Yucheng Chen  Yanjinghao Xu   \n",
 773 |        "124           2400139    Boheng Lin       Zhipu Hu   Zhenghao Gao   \n",
 774 |        "132           2400147        He Yin   HaiZhuo Wang       Haoze Li   \n",
 775 |        "150           2400167   Jingchao Lu    RuiXin Dong    Yaxiang Gao   \n",
 776 |        "165           2400185    Jinlong Ma     Zhimin Luo      Leying Fu   \n",
 777 |        "...               ...           ...            ...            ...   \n",
 778 |        "28081         2403746    Jiaye Peng   Yuanzheng Li   Weiping Shen   \n",
 779 |        "28083         2403748  Zichuan Wang  XAuanze Young    Yuhang Ding   \n",
 780 |        "28096         2403761    Xiangyi Li       Lin Chen     Litong Shi   \n",
 781 |        "28291         2403964  Huadong Song    Hanxiang Lv    Liang Zhang   \n",
 782 |        "28297         2403971    Leon Huang     jared zhou            Joe   \n",
 783 |        "\n",
 784 |        "                                          university                   prize  \n",
 785 |        "102    Huazhong University of Science and Technology  Successful Participant  \n",
 786 |        "124    Huazhong University of Science and Technology       Honorable Mention  \n",
 787 |        "132    Huazhong University of Science and Technology  Successful Participant  \n",
 788 |        "150    Huazhong University of Science and Technology  Successful Participant  \n",
 789 |        "165    Huazhong University of Science and Technology  Successful Participant  \n",
 790 |        "...                                              ...                     ...  \n",
 791 |        "28081  Huazhong University of Science and Technology  Successful Participant  \n",
 792 |        "28083  Huazhong University of Science and Technology       Honorable Mention  \n",
 793 |        "28096  Huazhong University of Science and Technology        Disqualified - P  \n",
 794 |        "28291  Huazhong University of Science and Technology  Successful Participant  \n",
 795 |        "28297  Huazhong University of Science and Technology       Honorable Mention  \n",
 796 |        "\n",
 797 |        "[511 rows x 6 columns]"
 798 |       ]
 799 |      },
 800 |      "execution_count": 7,
 801 |      "metadata": {},
 802 |      "output_type": "execute_result"
 803 |     }
 804 |    ],
 805 |    "source": [
 806 |     "your_univ_result=data.loc[data['university']==your_university]\n",
 807 |     "your_univ_result"
 808 |    ]
 809 |   },
 810 |   {
 811 |    "cell_type": "code",
 812 |    "execution_count": 8,
 813 |    "metadata": {
 814 |     "scrolled": true
 815 |    },
 816 |    "outputs": [
 817 |     {
 818 |      "data": {
 819 |       "text/plain": [
 820 |        "Successful Participant    311\n",
 821 |        "Honorable Mention         130\n",
 822 |        "Meritorious Winner         39\n",
 823 |        "Disqualified - P           19\n",
 824 |        "Finalist                   11\n",
 825 |        "Unsuccessful - I            1\n",
 826 |        "Name: prize, dtype: int64"
 827 |       ]
 828 |      },
 829 |      "execution_count": 8,
 830 |      "metadata": {},
 831 |      "output_type": "execute_result"
 832 |     }
 833 |    ],
 834 |    "source": [
 835 |     "your_univ_result['prize'].value_counts()"
 836 |    ]
 837 |   },
 838 |   {
 839 |    "cell_type": "code",
 840 |    "execution_count": 9,
 841 |    "metadata": {
 842 |     "scrolled": false
 843 |    },
 844 |    "outputs": [
 845 |     {
 846 |      "data": {
 847 |       "text/html": [
 848 |        "<div>\n",
 849 |        "<style scoped>\n",
 850 |        "    .dataframe tbody tr th:only-of-type {\n",
 851 |        "        vertical-align: middle;\n",
 852 |        "    }\n",
 853 |        "\n",
 854 |        "    .dataframe tbody tr th {\n",
 855 |        "        vertical-align: top;\n",
 856 |        "    }\n",
 857 |        "\n",
 858 |        "    .dataframe thead th {\n",
 859 |        "        text-align: right;\n",
 860 |        "    }\n",
 861 |        "</style>\n",
 862 |        "<table border=\"1\" class=\"dataframe\">\n",
 863 |        "  <thead>\n",
 864 |        "    <tr style=\"text-align: right;\">\n",
 865 |        "      <th></th>\n",
 866 |        "      <th>control_number</th>\n",
 867 |        "      <th>student1</th>\n",
 868 |        "      <th>student2</th>\n",
 869 |        "      <th>student3</th>\n",
 870 |        "      <th>university</th>\n",
 871 |        "      <th>prize</th>\n",
 872 |        "    </tr>\n",
 873 |        "  </thead>\n",
 874 |        "  <tbody>\n",
 875 |        "  </tbody>\n",
 876 |        "</table>\n",
 877 |        "</div>"
 878 |       ],
 879 |       "text/plain": [
 880 |        "Empty DataFrame\n",
 881 |        "Columns: [control_number, student1, student2, student3, university, prize]\n",
 882 |        "Index: []"
 883 |       ]
 884 |      },
 885 |      "execution_count": 9,
 886 |      "metadata": {},
 887 |      "output_type": "execute_result"
 888 |     }
 889 |    ],
 890 |    "source": [
 891 |     "prize_result=your_univ_result.loc[(your_univ_result['prize']=='Outstanding Winner') | (your_univ_result['prize'].str.contains('Award'))]\n",
 892 |     "prize_result"
 893 |    ]
 894 |   },
 895 |   {
 896 |    "cell_type": "code",
 897 |    "execution_count": null,
 898 |    "metadata": {},
 899 |    "outputs": [],
 900 |    "source": []
 901 |   },
 902 |   {
 903 |    "cell_type": "code",
 904 |    "execution_count": 10,
 905 |    "metadata": {},
 906 |    "outputs": [
 907 |     {
 908 |      "data": {
 909 |       "text/html": [
 910 |        "<div>\n",
 911 |        "<style scoped>\n",
 912 |        "    .dataframe tbody tr th:only-of-type {\n",
 913 |        "        vertical-align: middle;\n",
 914 |        "    }\n",
 915 |        "\n",
 916 |        "    .dataframe tbody tr th {\n",
 917 |        "        vertical-align: top;\n",
 918 |        "    }\n",
 919 |        "\n",
 920 |        "    .dataframe thead th {\n",
 921 |        "        text-align: right;\n",
 922 |        "    }\n",
 923 |        "</style>\n",
 924 |        "<table border=\"1\" class=\"dataframe\">\n",
 925 |        "  <thead>\n",
 926 |        "    <tr style=\"text-align: right;\">\n",
 927 |        "      <th></th>\n",
 928 |        "      <th>control_number</th>\n",
 929 |        "      <th>student1</th>\n",
 930 |        "      <th>student2</th>\n",
 931 |        "      <th>student3</th>\n",
 932 |        "      <th>university</th>\n",
 933 |        "      <th>prize</th>\n",
 934 |        "    </tr>\n",
 935 |        "  </thead>\n",
 936 |        "  <tbody>\n",
 937 |        "    <tr>\n",
 938 |        "      <th>6465</th>\n",
 939 |        "      <td>2410343</td>\n",
 940 |        "      <td>Qianyu Zhao</td>\n",
 941 |        "      <td>Yanheng jiang</td>\n",
 942 |        "      <td>Shoukun Gao</td>\n",
 943 |        "      <td>Huazhong University of Science and Technology</td>\n",
 944 |        "      <td>Finalist</td>\n",
 945 |        "    </tr>\n",
 946 |        "    <tr>\n",
 947 |        "      <th>6721</th>\n",
 948 |        "      <td>2410612</td>\n",
 949 |        "      <td>Xinlong Chen</td>\n",
 950 |        "      <td>Wanting Wang</td>\n",
 951 |        "      <td>Yining Deng</td>\n",
 952 |        "      <td>Huazhong University of Science and Technology</td>\n",
 953 |        "      <td>Finalist</td>\n",
 954 |        "    </tr>\n",
 955 |        "    <tr>\n",
 956 |        "      <th>6849</th>\n",
 957 |        "      <td>2410744</td>\n",
 958 |        "      <td>Sheng Dong</td>\n",
 959 |        "      <td>Xiang Fan</td>\n",
 960 |        "      <td>Lewen Yan</td>\n",
 961 |        "      <td>Huazhong University of Science and Technology</td>\n",
 962 |        "      <td>Finalist</td>\n",
 963 |        "    </tr>\n",
 964 |        "    <tr>\n",
 965 |        "      <th>7138</th>\n",
 966 |        "      <td>2411045</td>\n",
 967 |        "      <td>Qu JiaJun</td>\n",
 968 |        "      <td>Li Junhao</td>\n",
 969 |        "      <td>Yu Hao</td>\n",
 970 |        "      <td>Huazhong University of Science and Technology</td>\n",
 971 |        "      <td>Finalist</td>\n",
 972 |        "    </tr>\n",
 973 |        "    <tr>\n",
 974 |        "      <th>7227</th>\n",
 975 |        "      <td>2411137</td>\n",
 976 |        "      <td>Bin Wang</td>\n",
 977 |        "      <td>Jiajun Zhang</td>\n",
 978 |        "      <td>Tiantong Sun</td>\n",
 979 |        "      <td>Huazhong University of Science and Technology</td>\n",
 980 |        "      <td>Finalist</td>\n",
 981 |        "    </tr>\n",
 982 |        "    <tr>\n",
 983 |        "      <th>7425</th>\n",
 984 |        "      <td>2411343</td>\n",
 985 |        "      <td>Tingjia Hu</td>\n",
 986 |        "      <td>Yinda Li</td>\n",
 987 |        "      <td>Zehua Cao</td>\n",
 988 |        "      <td>Huazhong University of Science and Technology</td>\n",
 989 |        "      <td>Finalist</td>\n",
 990 |        "    </tr>\n",
 991 |        "    <tr>\n",
 992 |        "      <th>7922</th>\n",
 993 |        "      <td>2411866</td>\n",
 994 |        "      <td>Hatying Lao</td>\n",
 995 |        "      <td>Yongye Lai</td>\n",
 996 |        "      <td>Muze Zhou</td>\n",
 997 |        "      <td>Huazhong University of Science and Technology</td>\n",
 998 |        "      <td>Finalist</td>\n",
 999 |        "    </tr>\n",
1000 |        "    <tr>\n",
1001 |        "      <th>9305</th>\n",
1002 |        "      <td>2413307</td>\n",
1003 |        "      <td>Feryang Huang</td>\n",
1004 |        "      <td>Shuchen Pu</td>\n",
1005 |        "      <td>Chaoyang Zheng</td>\n",
1006 |        "      <td>Huazhong University of Science and Technology</td>\n",
1007 |        "      <td>Finalist</td>\n",
1008 |        "    </tr>\n",
1009 |        "    <tr>\n",
1010 |        "      <th>11233</th>\n",
1011 |        "      <td>2414823</td>\n",
1012 |        "      <td>Bowen Zheng</td>\n",
1013 |        "      <td>Yiging Yuan</td>\n",
1014 |        "      <td>Huanyu Liu</td>\n",
1015 |        "      <td>Huazhong University of Science and Technology</td>\n",
1016 |        "      <td>Finalist</td>\n",
1017 |        "    </tr>\n",
1018 |        "    <tr>\n",
1019 |        "      <th>11839</th>\n",
1020 |        "      <td>2415449</td>\n",
1021 |        "      <td>Wang Lingyu</td>\n",
1022 |        "      <td>Li Shengzhen</td>\n",
1023 |        "      <td>Huang Xinyue</td>\n",
1024 |        "      <td>Huazhong University of Science and Technology</td>\n",
1025 |        "      <td>Finalist</td>\n",
1026 |        "    </tr>\n",
1027 |        "    <tr>\n",
1028 |        "      <th>26800</th>\n",
1029 |        "      <td>2429594</td>\n",
1030 |        "      <td>Jieang Ma</td>\n",
1031 |        "      <td>Jiaxing Feng</td>\n",
1032 |        "      <td>Qinglin JI</td>\n",
1033 |        "      <td>Huazhong University of Science and Technology</td>\n",
1034 |        "      <td>Finalist</td>\n",
1035 |        "    </tr>\n",
1036 |        "  </tbody>\n",
1037 |        "</table>\n",
1038 |        "</div>"
1039 |       ],
1040 |       "text/plain": [
1041 |        "       control_number       student1       student2        student3  \\\n",
1042 |        "6465          2410343    Qianyu Zhao  Yanheng jiang     Shoukun Gao   \n",
1043 |        "6721          2410612   Xinlong Chen   Wanting Wang     Yining Deng   \n",
1044 |        "6849          2410744     Sheng Dong      Xiang Fan       Lewen Yan   \n",
1045 |        "7138          2411045      Qu JiaJun      Li Junhao          Yu Hao   \n",
1046 |        "7227          2411137       Bin Wang   Jiajun Zhang    Tiantong Sun   \n",
1047 |        "7425          2411343     Tingjia Hu       Yinda Li       Zehua Cao   \n",
1048 |        "7922          2411866    Hatying Lao     Yongye Lai       Muze Zhou   \n",
1049 |        "9305          2413307  Feryang Huang     Shuchen Pu  Chaoyang Zheng   \n",
1050 |        "11233         2414823    Bowen Zheng    Yiging Yuan      Huanyu Liu   \n",
1051 |        "11839         2415449    Wang Lingyu   Li Shengzhen    Huang Xinyue   \n",
1052 |        "26800         2429594      Jieang Ma   Jiaxing Feng      Qinglin JI   \n",
1053 |        "\n",
1054 |        "                                          university     prize  \n",
1055 |        "6465   Huazhong University of Science and Technology  Finalist  \n",
1056 |        "6721   Huazhong University of Science and Technology  Finalist  \n",
1057 |        "6849   Huazhong University of Science and Technology  Finalist  \n",
1058 |        "7138   Huazhong University of Science and Technology  Finalist  \n",
1059 |        "7227   Huazhong University of Science and Technology  Finalist  \n",
1060 |        "7425   Huazhong University of Science and Technology  Finalist  \n",
1061 |        "7922   Huazhong University of Science and Technology  Finalist  \n",
1062 |        "9305   Huazhong University of Science and Technology  Finalist  \n",
1063 |        "11233  Huazhong University of Science and Technology  Finalist  \n",
1064 |        "11839  Huazhong University of Science and Technology  Finalist  \n",
1065 |        "26800  Huazhong University of Science and Technology  Finalist  "
1066 |       ]
1067 |      },
1068 |      "execution_count": 10,
1069 |      "metadata": {},
1070 |      "output_type": "execute_result"
1071 |     }
1072 |    ],
1073 |    "source": [
1074 |     "prize_result=your_univ_result.loc[your_univ_result['prize']=='Finalist']\n",
1075 |     "prize_result"
1076 |    ]
1077 |   },
1078 |   {
1079 |    "cell_type": "code",
1080 |    "execution_count": null,
1081 |    "metadata": {},
1082 |    "outputs": [],
1083 |    "source": []
1084 |   },
1085 |   {
1086 |    "cell_type": "code",
1087 |    "execution_count": null,
1088 |    "metadata": {},
1089 |    "outputs": [],
1090 |    "source": []
1091 |   }
1092 |  ],
1093 |  "metadata": {
1094 |   "kernelspec": {
1095 |    "display_name": "Python 3",
1096 |    "language": "python",
1097 |    "name": "python3"
1098 |   },
1099 |   "language_info": {
1100 |    "codemirror_mode": {
1101 |     "name": "ipython",
1102 |     "version": 3
1103 |    },
1104 |    "file_extension": ".py",
1105 |    "mimetype": "text/x-python",
1106 |    "name": "python",
1107 |    "nbconvert_exporter": "python",
1108 |    "pygments_lexer": "ipython3",
1109 |    "version": "3.7.6"
1110 |   }
1111 |  },
1112 |  "nbformat": 4,
1113 |  "nbformat_minor": 4
1114 | }
1115 | 


--------------------------------------------------------------------------------
/config.py:
--------------------------------------------------------------------------------
 1 | year = 23
 2 | total_num = 30000
 3 | # 进程数根据CPU和内存能力设置
 4 | # step=30000/进程数
 5 | #开30进程
 6 | download_step = 1000
 7 | #开30进程
 8 | pdf2text_step = 1000
 9 | #你的学校
10 | your_university= 'Huazhong University of Science and Technology'
11 | #TesseractOCR路径
12 | TesseractOCR_path = 'E:/prog/TesseractOCR/tesseract.exe'
13 | 


--------------------------------------------------------------------------------
/download.py:
--------------------------------------------------------------------------------
 1 | """
 2 | 爬取美赛获奖证书,并以控制号命名
 3 | 只运行一次部分下载会失败，需要运行多次，确保全部下载
 4 | """
 5 | import os
 6 | import requests
 7 | from multiprocessing import Process
 8 | from random import shuffle
 9 | from config import *
10 | 
11 | 
12 | class CMcmCertificateCrawler():
13 |     def __init__(self, contol_nmuber):
14 |         self.headers = {
15 |             'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) '
16 |                           'Chrome/73.0.3683.103 Safari/537.36'
17 |         }
18 |         self.control_number = contol_nmuber
19 | 
20 |     def FGetResponse(self):
21 |         url = "http://www.comap-math.com/mcm/20" + str(year) + "Certs/" + str(self.control_number) + ".pdf"
22 |         response = requests.get(url=url, headers=self.headers)
23 |         # print(response.status_code)
24 |         return response
25 | 
26 |     def FSavePDF(self, control_number):
27 |         # 下载证书PDF
28 |         try:
29 |             path = './paper_20' + str(year) + '/' + str(control_number) + '.pdf'
30 |             response = self.FGetResponse()
31 |             # print(response.status_code)
32 |             if response.status_code != 404:
33 |                 with open(path, 'wb') as f:
34 |                     f.write(response.content)
35 |                     print(str(control_number) + ".pdf" + "存储成功")
36 |             else:
37 |                 print(control_number, ' -- 404')
38 |         except Exception:
39 |             print("Exception")
40 | 
41 | 
42 | def download(start, end):
43 |     for control_number in range(start, end):
44 |         control_number = '%05d' % control_number
45 |         control_number = year * 100000 + int(control_number)
46 |         mcc = CMcmCertificateCrawler(control_number)
47 |         mcc.FSavePDF(control_number)
48 | 
49 | 
50 | def downloadlist(control_number_list):
51 |     for control_number in control_number_list:
52 |         mcc = CMcmCertificateCrawler(control_number)
53 |         mcc.FSavePDF(control_number)
54 | 
55 | 
56 | if __name__ == '__main__':
57 |     all_control_list = []
58 |     for control_number in range(1, total_num):
59 |         control_number = '%05d' % control_number
60 |         control_number = year * 100000 + int(control_number)
61 |         all_control_list.append(control_number)
62 | 
63 |     dir = './paper_20' + str(year) + '/'
64 |     if not os.path.exists(dir):
65 |         os.mkdir(dir)
66 |     download_filelist = os.listdir(dir)
67 |     for filename in download_filelist:
68 |         filenum = int(filename[0:7])
69 |         print(filenum)
70 |         filesize = os.path.getsize(dir + filename)
71 |         if filesize:
72 |             all_control_list.remove(filenum)
73 | 
74 |     step = download_step
75 |     shuffle(all_control_list)
76 |     for i in range(0, len(all_control_list), step):
77 |         start = i
78 |         end = i + step - 1
79 |         control_numbers = all_control_list[start:end]
80 |         p = Process(target=downloadlist, args=(control_numbers,))
81 |         p.start()
82 | 


--------------------------------------------------------------------------------
/exception.txt:
--------------------------------------------------------------------------------
1 | 2308010


--------------------------------------------------------------------------------
/gitpush.bat:
--------------------------------------------------------------------------------
1 | git add .
2 | git commit -m "update"
3 | git push -u origin master


--------------------------------------------------------------------------------
/pdf2text.py:
--------------------------------------------------------------------------------
  1 | """
  2 | 美赛获奖证书信息OCR
  3 | """
  4 | 
  5 | import fitz
  6 | import PIL
  7 | import pytesseract
  8 | import os
  9 | from multiprocessing import Process
 10 | import re
 11 | from config import *
 12 | 
 13 | pytesseract.pytesseract.tesseract_cmd = TesseractOCR_path
 14 | 
 15 | 
 16 | def pdf2text(pdfPath, control_number, zoom_x=6, zoom_y=6, rotation_angle=0):
 17 |     students = ['']
 18 |     university = ''
 19 |     prize = ''
 20 |     advisor = ''
 21 |     try:
 22 |         # 打开PDF文件
 23 |         pdf = fitz.open(pdfPath)
 24 |         # 逐页读取PDF
 25 |         for pg in range(0, pdf.pageCount):
 26 |             page = pdf[pg]
 27 |             rect = page.rect
 28 |             clip = fitz.Rect(rect.width * 0.25, rect.height * 0.27,
 29 |                              rect.width * 0.8, rect.height * 0.7)
 30 |             trans = fitz.Matrix(zoom_x, zoom_y).prerotate(rotation_angle)
 31 |             pix = page.get_pixmap(matrix=trans, alpha=False, clip=clip)
 32 |             img = PIL.Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
 33 |             # pix.save("test.png")
 34 |             text = pytesseract.image_to_string(img)
 35 |             text = text.split('\n')
 36 |             text = [s for s in text if s]
 37 |             # print(text)
 38 |             try:
 39 |                 students_index = text.index('With Student Advisor')
 40 |                 advisor_index = text.index('With Student Advisor') + 1
 41 |             except:
 42 |                 try:
 43 |                     students_index = text.index('With Faculty Advisor')
 44 |                     advisor_index = text.index('With Faculty Advisor') + 1
 45 |                 except:
 46 |                     try:
 47 |                         students_index = text.index('Of') - 1
 48 |                         advisor_index = text.index('Of') - 1
 49 |                     except:
 50 |                         students_index = text.index('Was Designated As') - 3
 51 |                         advisor_index = text.index('Was Designated As') - 2
 52 |             # print(students_index)
 53 |             # print(advisor_index)
 54 |             try:
 55 |                 univ_index = text.index('Was Designated As') - 1
 56 |                 students = text[0:students_index]
 57 |                 advisor = text[advisor_index]
 58 |                 university = text[univ_index]
 59 |             except:
 60 |                 students = text[0:3]
 61 |                 advisor = text[4]
 62 |                 university = text[5]
 63 |             prize = text[-1]
 64 | 
 65 |         pdf.close()
 66 |     except:
 67 |         print(control_number, 'Exception')
 68 |         with open('exception.txt', 'w+') as exception_file:
 69 |             exception_file.write(str(control_number))
 70 | 
 71 |     university = university.replace(',', ' ').replace('1', 'i')
 72 |     prize = prize.replace(',', ' ')
 73 |     advisor = advisor.replace(',', ' ').replace('1', 'i')
 74 |     stus = []
 75 |     for student in students:
 76 |         student = student.replace(',', ' ').replace('1', 'i')
 77 |         stus.append(student)
 78 |     return stus, advisor, university, prize
 79 | 
 80 | 
 81 | def savetext(start, end, count):
 82 |     global logger
 83 |     all_data = ''
 84 |     your_university_data = ''
 85 |     for control_number in range(start, end):
 86 |         control_number = '%05d' % control_number
 87 |         control_number = year * 100000 + int(control_number)
 88 |         path = "./paper_20" + str(year) + "/" + str(control_number) + ".pdf"
 89 |         # print(path)
 90 |         if os.path.exists(path) and os.path.getsize(path) > 0:
 91 |             students, advisor, university, prize = pdf2text(path, control_number)
 92 |             if prize:
 93 |                 if len(students) == 0:
 94 |                     students = ', , '
 95 |                 elif len(students) == 1:
 96 |                     students = ','.join(students) + ', , '
 97 |                 elif len(students) == 2:
 98 |                     students = ','.join(students) + ', '
 99 |                 elif len(students) == 3:
100 |                     students = ','.join(students)
101 |                 elif len(students) > 3:
102 |                     students = students[0:3]
103 |                     students = ','.join(students)
104 | 
105 |                 row = '%s,%s,%s,%s,%s,\n' % (control_number, students, advisor, university, prize)
106 |                 row = row.encode('gbk', 'backslashreplace').decode('gbk', 'backslashreplace')
107 |                 try:
108 |                     print(row)
109 |                 except:
110 |                     print(control_number, ' -- gbk encoding error')
111 | 
112 |                 all_data += row
113 |                 if university == your_university:
114 |                     your_university_data += row
115 | 
116 |     with open('./all/tmp' + str(count) + '.txt', 'w', encoding='utf-8') as all_file:
117 |         # all_data = all_data.encode('utf-8')
118 |         all_file.write(all_data)
119 |         print('./all/tmp' + str(count) + '.txt save sucessfully')
120 |     with open('./your_university/tmp' + str(count) + '.txt', 'w', encoding='utf-8') as your_university_file:
121 |         your_university_file.write(your_university_data)
122 |         print('./your_university/tmp' + str(count) + '.txt save sucessfully')
123 | 
124 | 
125 | if __name__ == '__main__':
126 |     if not os.path.exists('./all/'):
127 |         os.mkdir('./all/')
128 |     if not os.path.exists('./your_university/'):
129 |         os.mkdir('./your_university/')
130 | 
131 |     step = pdf2text_step
132 |     count = 1
133 |     for i in range(1, total_num, step):
134 |         start = i
135 |         end = i + step - 1
136 |         p = Process(target=savetext, args=(start, end, count))
137 |         p.start()
138 |         count += 1
139 | 
140 |     # students, advisor, university, prize = pdf2text('./paper_2023/2300009.pdf', 2300009)
141 | 


--------------------------------------------------------------------------------
/requirements.txt:
--------------------------------------------------------------------------------
1 | requests==2.22.0
2 | pytesseract==0.3.9
3 | fitz==0.0.1.dev2
4 | PyMuPDF==1.19.6
5 | 


--------------------------------------------------------------------------------
/txt_joint.py:
--------------------------------------------------------------------------------
 1 | import os
 2 | import re
 3 | from config import year
 4 | 
 5 | def txtjoint(dir):
 6 |     files = os.listdir(dir)
 7 |     res = 'control_number,student1,student2,student3,advisor,university,prize,,,\n'
 8 | 
 9 |     for file in files:
10 |         if re.search('^tmp(\d+).txt',file):
11 |             with open(dir + file, "r", encoding='utf-8') as f:
12 |                 content = f.read()
13 |                 # content = content.lower()
14 |             res += content
15 | 
16 |     with open(dir + "all_20"+str(year)+".txt", "w", encoding='utf-8') as outFile:
17 |         outFile.write(res)
18 |         print('txtjoint sucessfully')
19 | 
20 | # 合并文件
21 | all_dir = "./all/"
22 | your_university_dir = './your_university/'
23 | txtjoint(all_dir)
24 | txtjoint(your_university_dir)


--------------------------------------------------------------------------------
/统计结果.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/personqianduixue/comap_crawler_2023/6ec3537cd279d39d80f4be73b5589477a29defc2/统计结果.png


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