新手刚学，看着代码没啥问题啊
大佬帮我看一下data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAeAB4AAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAHfAZADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD36snTw32CEEFiVyc8dz3xWt2rk55p18OSNZgtdiFvKCqGO7nGB3ppXdhN2Vyz/acFhq0Vs11EgnYgRPJgnnjAI6//AKvTHRD1rzS38MX11c6dquo37PcxPHctbixUNnhtjNkH25Fd/p8kstmjzA+Yc5yPesfb03Pki7scVLl5pKxI17arKImuoRIzbQhkGSfTHrSx3ltMZPKuYn8v7+1wdv19OlYlzZO+lauv2ZmeWckDYcsPlwR696t3Vq325zHC2z7C8Y2rx1GFrUC7/aFkS4F5bnYu5sSr8q+p9qmhniuIhLDKkkbdGRgQfxrGSyw+h/6NxCrbvk+4dnf05qxZlrOW5zbSkTXhxsTgZA+Y+3vQBbk1CzibD3UCHcVw0gHI6j681OJY2kaMOC6Y3KDyuema5+3mjT+1kNnLI8twyjZEWEnygYJHT/gWOtOniutMgs2QgzyQLZsRzh/4G/D5vzoA3o5UlTfG6upPVTkVIearw2y29oltESqomxSOo96WCGSJCHuJJiT1kCg/+OgUAVfts80skdpbpIIztd5JCg3ei4Bz+lWknVisbFUmK7jFuG4D/D3rOtZW05p4Z4ZtrStJHJFE0gZWOcHaDgjpzU095Fbb7iS1kV0ty/mFB0z9zd657UAI+qbbl41h3RrOkG/d1ZuvGO3FWLi78m9tbYpn7Rv+bONu0ZrOeynh0i2IQyzxzLcSgfeY7stj35/SpGJvdTtpo4pljt1dnMkbJksMBRux/hQBoxXUE0jxRzxvJHw6qwJU+47URXltNM8UVxE8q/eRXBK/UViW0N0IZrG18xoRA6xvPAY3iY9F3YAYdeQPxp9jbK8lrve/EluMiOSBUROMEbggyPoT2oA1lvrR92LqE7VLthxwo6n6U5LmCWAzxTRvEM/OrAj86x7WyUeHfJnimjzIXfy4/nB8zIOMc9B26Ux5ru4s/skwO+5mESy+UY2ePbl2KnkcAj8qANKDU4HtI7i4eK38xd4WSQD5SeD+PFTi9tmmSFbiEyONyIJBuYdcgdxVT7MP7ejk8n92lqUVtvA+bp+VUbayePR7JRbssiXgcjZgj5zzj6fpQBsm9tVmETXUIkZtoQyDJPpj1p0V5b3DOsM8UjIcOEcHb9fSsO6s2fSdXT7MzPLOSBsOXHy4PvV54zBqyzxwOY0s2XEa+jAhR79eKAL013b2+fOnijIG473C8ZxnmhLq3kEZSeNhJnYQ4O7HXHrWPNOi6/bXElvKR9jJGIyzR5YfwjJ9uKYbeRLG5vREYtlz9riRhg7QAGyO24buPegDeEqNI0YcF0xuUHkZ6ZqqLp3uLiKKEusIALbsbnPO0fgRk+9M0pS9s10/37p/NOey/wAI/wC+cVDasI4tQVlkJW5feI87sNggjHPQ9ueOKALFteTSXctrcQrHLGqv8km9SDnuQOePSk1C/wDsNuZBDJLgZ+XgDnHJP/66q2eYbq4nghujaiLJ81D5juOw3fOePXj0qfVA9zosvlxSb3RSE2/N1HGKAJbq8aCSKCKMSzzE7VL7QAOpJwcflS2V0btJN6+XLE/lyJncAevB7ggioL0NFqFtd7JHiRHjcRoWK5wQcDn+H9abZtJC89w8EuLu4AVQnKrtChmHYfL+tAEwu55ZpI7WBHSNtrySSFBnuFwDnH4VLDdGS7nt3TY8eGXnIZT0P5g1hy2QSO8iazmkvZJWeCYRk43NlSHHC478itVQx1yMZyUtSJCB3LDH/oLUAadFAooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEPSqZ0213Z2MPYSMB+Wau0lAFT7DB5gfYc4x1NWsUtFRGEY7Ibbe4CjilpKsQtIaXNJQBWtrVLZpihY+bIZW3epx0/KmvaiS7jnd2by+UjONobpnpnOM1cooAQUtBpKAFqKSOOVQsiq65Bwwzz2qWigBAKKWigAFFFIKAFNQtEjSLIUUuoO1iORnrU1FACCloooAKSlooArG0Q3wuyW8wR+XjtjOaZdWou4fKeSQR5+dVx849Dx0+lXKKAGgYGMY9qgFvGLhptpEjAKSCeQOmR0qzmigBBRS0UAJS0UUAIeagjgjiaR0X5pDuYkkk/n/KrFFABRSUtABRRRQAUUUUAFFFFABRRRQAUUUZoAKKM0UAFFFFAGZrt9LpuiXl5CEaSGMsof7ufeq909/a6Xcz3eqW0ICgrPFZN+756lS7bvSpfENtPfaBfWtsm+aSIqi5AyfxqrquhwjQb210uwginmRRthRY92D3PHvQBNBqLLrOrR3M6pa2scLqWwoTKsWJP4d6s2eq2l5M0MMkglCh/LlheNivTcAwGR7jisfUdGvbybWRGuwTrbmFvM27zGclcjkemferWl2Ki7W6fT763lRCoa6vWmPOMhRvYY468dBQBv1l6xeXFpbQm1MYlluI4d0qlgoZsZwCM/nWmKxvENnJe2EUaWn2oLcRu8Py/Mqtkj5iB0pATm5k0+0efU7uBlB4aKFk9gNu5iTn0rNGtG51q4ghuXhgjsGlYSW7K0b7vvFWAbp271HNYube2fT9ENn9ku1uDbnyk835Sp27GI3YP8WKc9tqF7q13dtYvBG+nNbxiSRCxfcTg7SR+tAE669HBNp1oxnuTcweZ9oS3k+bhedoU9d2f9nvW/XNR2d7ajQpRaPIbW2aCaNHXKFlTnlgCBtPQ10opgQ3MhhtpZFxlEZhn2FZmjz6jeWFtf3dxaeVNCspjjt2QqSM/eLnp9K0rxWks5kTlmjZQPU4rDsvDsEfhn7ILS3tb6Wy8iWVI13biuDll680AX4NbsLiZI45m/eErG7Quscn+65G1vwPNC65YtPNCk7s9uWE22FyI9oydzYwP69qzpINQ1C2s7GWwa18iWN5JzIhTEbA/Jg7ucdwODU1tYXMdnrcbRYe5nleIbh8wKAD+XegCYeJNKYri5b94u6L9zJ+96fc+X5zyOFyasxatZzWZuo3do1coVET7wwOCuzG7Ptis5NOuVl8OnycCzRlm5X5P3W38efSq09hqcQufIjmEU2oGWVLeVUkkh2D7rEjb8w55BxQwL174itIdMN9Cs06+cISgikBVtwUhhtypGehHPTvWtbyiaBZVDhW5AdGQ/iG5FcxFo9+NG1OMWzrJLeJcQxyXHmOyr5ZwXJPzfKRyevfFdPDK0sQd4HhZhzHJtLL9dpI/WgCY1zE+r6mkerXay2SW+nysnlSRNukAVW+/vwCd2Pu105rlT4ded9VufJSC/a786zuuNwwq45HO0kEEH1PFIDchv4J7hbYlluTCsxiZTlVJxz26iq7a7poit5PtBK3BdYQsTkuV4YAAZz7d+1UlXUl1WHU202RjLZiGWFJI90Ths92wV5PQmq+maRfQHQzPbhDbNcmYB1bZvzt+v4UwN+xvoL+JpbaQsgYowKlWVh1BUgEH61cNZOj2k1rc6q80e0T3ZljOQdy7FGfzBrWNIDIu726bUV0+wWITeX5ss0wLLGucD5QRuJwe46VHDqNzaXr2epCMkQtPHcQoVVlXG4FSWIYZHc5zS3VvdWusHUra3+0pLCIZoUKq/yklWXcQD94ggkVVuoLq7a61G6tzbJFZyRQQuys5LDLM20kD7oAAJ70bIOpdg8QaZcvAsdwxWfAikMTrG5IzgORtz7ZzUMeux3M+o2qi4t2tgQJnt5CPubiTlcDHpnnHHWs6xhvdR0TSLT7C0MUQgla5MiFSqbWGwA7snA6gd/wAbzWl4LzWUFo7R3iBopVdduRGF2kE5ByPTHvTYIsrqttb2VmZrp7iSaIMpjgZnlGOX2KCQPw4zUja3psdql29yFheTygSpyH/ukYyDx0NZdnZX+mTWVyLN7n/QI7WWKN0DxsuTn5mAI5x17CmNo97IYrhoArzanHdvDvH7pAu3k9zwCcdz360Aa8es2D29xN57ItsQJlljaN1J5HysAec8cc9qtWl3HeRGSLzAASCJImjYH3VgCKxbnTZJdR1WWeze4t5orcIqShGYoWJ2nIwRkHqPrVvQ4tQitpEvpJ2UPiAXDI0oTAHzlPlJzn1oA2DWUt/KuvzafLsEX2ZZ4WAIPDEOCc9vl/OtY1znifTr28it5NOUNOC8D5IH7qRcMfwO0/hSAht/Ec0mhajfTQIs0BzBGAfnVlBiz7ncB9aurqSWb3smoagm2BITLGISFhLd887tx/Kqd/o1w+uWItYh9gYRi5wwG3yiWTjvknH/AAGmarpN9dNrZig3i6W3EXzKN20/N3/nTA2bTVbK8neGKVvMRBIVkjZMqf4huA3Lx1HFZV74ihkm06OxuHHn3aIWaBlSWPkNtZlw3bkGpNW0q51DUpCihYZNOmtvMJ4VnK4469qgmh1S8j0qFtMeH7LcxPO7yxlcKCCVwckfXH0oA1LjWrK2mkjkkctFjzWSF3WP/fZQQvryeBzU39qWm+dfPGbeITSHBwEIJDZxyOD0rKig1HTo76zTT2uhcTSSxTLIip85Jw+TuGPYNx+VVrjw/dRQ6daxfvovsy2d2+QP3asrZwT6B1/4FQB0EWpWswtTFLuF0heHCn5lAyT046jr61dFc9o+lXFpqczSxhbe3VorQhs5V33tx2x8q/8AAa6GgDM1e/lsYLd4ghMl1FC28H7rMFP480mq38tnJp6xqhFxdLC24dFKsePfgVH4hsJNQs7eFIVmUXULyI2MFA4LZz7VVv8Aw/apcabNp2mWsTw3SvI8USIQm1s+meccUgL8+tWNtM8cs7AowV3EbFIycYDOBtXqOp71V/tcWup6ubyfZZ2kcLD5Pubgc9OT2rO/sWVJr63uLK8uo7iZ3SSK/ZIirnO113jGM84U5FR69ZT29j4hnMYEEsECxFmzu28H3796YI6C31qxubtbaOV/MdSyb4nQOB1KMwAYdPu5rTFc/wCVfajqWnyy2T2kVmzSMzujb2KlcLtJ45PJx24rfFAC0UUUAZxvbwE40y5I9d0X/wAXSfbb3/oF3H/fUX/xdN1y6vbPSpptPh865XbsjKls8jPA56ZqnHqGqPa6q7WwEtu7rar5TfvAFBB6/Nk8cVDkk2iHNJ2L3229/wCgXcf99Rf/ABdL9uvf+gXcf99xf/F1n6RqGqXVxMl7biJFghdCImXLsp3jk9iOlQ6PqWs3dzapfWSxRyW7ySsInXa4faF5PGV5xRzK6QlUTNX7be/9Au4/76i/+Lo+23f/AEC7j/vuL/4utCuU1G4uBqKgSXsFnNKYzsJ3l0jdtyLtJ2/IBt/jIzjbnzHKXKOU+XU2/t94f+YXcf8AfcX/AMXS/bb3/oF3H/fcX/xdcFa3msDWJJpZdRRXjiR5EgdjgM5OB9l5xuzjC9ep/h6TVri4S43xNcRwb4bec7ygffIqjZxwRvOWXHXby3MecaqauZwrqSvY2Pt14P8AmF3H/fcX/wAXSfbbz/oF3H/fUX/xdcHPe6wdZimjm1F0jjlRJWgdTgsnUfZeM7emG6dR/Fv+JLi/h0JmtW1QBLR3NxH5MeTt6uGwykYz8qjr69CNZNN22CNdSTdtjd+3XfbTLjn/AGov/i6X7beAZ/su4/76i/8Ai65KZp4Lmys7LTdRtjFZzpB+9jdkO+IgjMvKggfKT0IHTNb2qXD6l4PvJIYZA1xaSeXHlXZsqcY2lgc8YwT1pqpe/kNVk7+Rd/tK6/6Bs/8A33F/8XTvtt5/0C7j/vqL/wCLrgdRtIZdOuUhsLIzNE4QR+Hpo2LYOMMT8p969AvL1LGxluXDMqLkKnLMeyqO7E8AdyaI1Oa4QqqVxv228/6Bdx/31F/8XR9tvP8AoF3H/fUX/wAXXK20l3Lpdhfxyx20NqsmoXE08DOpkkRmIQBgSoEr/wDjoySGxsTXmsWGm6rdXTWsotoDJbskRQMwUk5G9vl+6OoP3uOhLVRPoNVU9bGn9vvP+gXcf99xf/F0fbbz/oF3H/fUX/xdcpei/sLU6NcXME0N7b3BeZITGYyWXzJHJcrjEjv/AAjIwMZArcsb++jvb23v5IZhBBHMrW1uyn5jICNu5ifuDp60Kd3YI1E3YvG+vAP+QXcf99Rf/F0C/vCMjS7j/vuL/wCLrltR1N303T7W3mnlSS7ybiSzkcoI3d1QrkMzAxBT3wpZsZGbPhK8vZo1t2mU28ckw2HT5Y8KJGACuzbQBxhcZAGO2aSqJy5QVVOXKdD9tvf+gXcf99xf/F0n229/6Bdx/wB9Rf8AxdX+g4Fc3d6prMWozxQ2YeBbi3jjfynOY3++2QccevbvVOSRcpKK1NX7def9Au4/76i/+Lpftl3/ANAu4/76i/8Ai6ytZ1PWbS4nWxsxNGlr5qExM26TdjbweeO3Wp9TvtTt7i0S0t1lSSOVpWMbHayrlRweMmhzSVyfaK7Re+23v/QLuP8AvuL/AOLqKW5uJ4Xik0m5ZHUqw3x8g9vv1NpU9xdaZbT3cfl3EkStIm0rtYjkYPIq/Vlp3VzKgmuLa3jgh0m4WONQiDfHwAMD+Opftt7/ANAu4/76i/8Ai60aKBmd9tvf+gXcf99xf/F0fbb3/oF3H/fcX/xdaNFAGf8Abb3/AKBdz/33F/8AF0n229/6BVx/33F/8XWjRQBnfbb3/oF3H/fcX/xdH229/wCgXcf99xf/ABdaNFAGd9tvf+gXcf8AfcX/AMXS/bb3/oF3P/fcX/xdaFFAGd9tvf8AoF3H/fcX/wAXR9tvf+gXcf8AfUX/AMXWjRQBn/bb3/oF3P8A33F/8XSfbb3/AKBdx/33F/8AF1o0UAZ3229/6BVx/wB9xf8AxdL9tvf+gXc/99xf/F1oUUAZ/wBtvf8AoF3P/fcX/wAXR9tvf+gXc/8AfcX/AMXWhRQBnfbb3/oF3H/fcX/xdQXbTX9rJbXOkXDwyDDL5kYz+T1sUUAZwvb0f8wq5/76i/8AjlL9tvf+gXc/99xf/F1oUUAZ/wBtvf8AoF3P/fcX/wAXQL28JGdMuB774v8A4utCigBDRilooATFH4UtFADTXLz2puPEdo+5prmCdnkyhVYYTE4ULn1ZlyerMp7JheppMVMo8xEo8x5Vp+iXENtolx9ngzK9tIhQIXYBkY9IAc7ck/PnAY/MAa63WrY3N5DE7PLcCeCW3hCELGiyKXfPQthWyewZVGC/z9Pjvilxkc1nGkkrIzjRUU0eUajolxLY6hdi3gYS3NyiNhC5fzHAH+oZskjA+fkkAEEgV2Xi4XL6FPFHLsWWKSMosJdpGKnaoPRcn5eQc7gBhiK6XFB+lCpJJruEaKimk9zlLmyeZohp9vcxJZ70kbJieZWILohYZJJAYycZIGG+ZmWGX7Pq+gLGNPtnvGaeCxjkth+6CuUDFWHyqoVC3HoMZIWuw9sUAcdKr2ZXszzmaHRv7buEVdE09Vtot0GoWiEq+6TIA3qAcbckZBBUg4xnrdHh0trFTYrp0gjfcz2aKEEu3DEAE4ODjrnBxWx5anqKUKB0AojCwoU7HBC2ceC1uJvmMmkLaWkaKzfM8WTnA6uwRQPVVwcvitnVtOuI9J11IV3w3Fs7xRICWEpRg4AA6H5TxyWZvWulx2xS4oUFYpU1axyWn2UcfiG3kt9BfTYxazLI3lxKHJaLAPlseeG6++O9WtFiiF/cSWUbixS1t7aIsGHKGTK/Nzldyg575B5Bx0RxQKahYFTs7nBXEV15VnFLYXWwatclFhl8qWXP2hsr8y4XBHJYZ54xjdoeG7SaxlKS6bqUZaSVjJNdrJGqs5Zfl81vmxgZC5znnkmutIzigDipVOzuTGlaV7i0UtFamwmKMUtFAAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACikNFAC0UgpaACiiigAooooAKKQ9KKAFpKBS0AFJS0lABS0neigApaSkJA70CuOopAaWgYUUGkyPWgBaKbmgEc0hXFoozTTIqnBIFMLpD6TNIGB6HNFFwHUZpAc0nFAx1FJn3oyKAFopMg9MUZoAWikNFAC0UCigAooooAKKKKACiiigAooooAKKKKACiiigDB8U+JLPwvodzqN1Nbq8cTvDDNOsRndVJCKT3OOwNSaP4i0jXbYzafqVnclEV5kguEkMO4Zw208dD19KZ4usbjU/CGs2NpH5lzcWU0USZA3MUIAyfeuc1eWfxJ8O7zT9NtNTju0t4RJDPZyW7sAyl0UyoFYlVZeNw554PKXUOx1Vp4i0S+tp7mz1nTri3txmaWG6R0j/3iDhfxpYdf0a4uUtodWsZLh5HjSJLlGZnTl1Azkle47V55q2lxaromvX1tc+JdQ1R9GmtUiv9LNvlWwwUbbePe27oMt1OKS10C4tvFKzRaVNHEut2hV1gYKsK2DLkHH3Qx259eKYdD0SLxBo1xeR2UOr2El3Km+OBLlGd155VQckcH8q1M1454aij1DwRoWlaTp1yt6uqJeT3P2OSKJAk5Z5PNZQrnaNuFLHnHQHHsQFADs0Vx2t6Lql9qsk9tZ+bEyqA3/CS3tn2/wCeUSFR9Qea6PTIZbfTYIZk2SIgDL9pe4wf+ujgM/1PNAFXXtTXS9MkkF5Y2tw4KwPfy7Ii/YE5z+VTpexRWVtNdXNuplVRvV8I7EZ+XPUdSPaqPiq4WHQbuHybmWSeGSONYLeSU7ipxnYpx9TWBcRHV9B8PWwsrt1t7y2W4jmtJE27V5JDKPl9+lWopouMU0mzrINY0y5tGu7fULWW2VtjTRzKyBjjjIOM8j86WHWNNuRcNBqFpKtt/rzHMrCL/ewfl6Hr6VxXim2aOx8UyywOLeb7Ic7DiTBAOP73YflVmSyl1e+mk02ymt7dNKmswZoGtwzsV2KFYA4XB5xj5uO+HyK1yvZq17nYtfWqLExuIsSqXiy4+cAZJHqMc1hab4z0e/1O7sxqFgrRTJFARdIftG5VOVH1bbxnpWZp0895f+Go106+ijs4HS4kmt2jVH8oDb8w56dR8vuau6fKdM8T6vFdWt3i9uIpLeWO1kkjYeWicsoIXDKc7sevSjlSTuHKknfcu6lrFymv2Gi6ZEklzKPtF1JLkpBbqwBPB+8x+VR9T0Wmazqms2lxcLY2QmjS082M+UzbpN2NvB545x1qlBItj8Ub6O5G06np0JtHOfm8ln8xAfUeYrY96681g43WjMJxb0Tsc94gurq3tWntvOjktrd5pZF+WPbtPy4IILEjjg7cZPB2vzOrT6nHqkEdtLqLw285Ks0bsU+Rl6/Z2z1xnc+c577h0Xim3+12U1q7u5ngdLa3VDiSbHBY9CRkEA4AwzHO3K4Gp6RJc6zq96YrYwxTxo7zbPl/cx9d0DkKN2c5wOSccmsaik3octZSex1Nlq1raaZavqWoLFJIp+a8YRMxB5GGVM4z12jjB71Y/wCEl0P/AKDGn/8AgSn+NN8PQtH4c02KaNkdLWNWRxgqQoyCK0/KX+6K2V7I6I81lYz2NjrltmC9M0SPy9ndMvzY6FkYdj0+lYbWFtb6tfLPd6itrBbwSZ+3z4Qs8gZid/T5VyTwACfWutChe2M1lWwz4p1D/rztv/Q5qUlewSjdq4Gy/s6xnNt9vmkcAAC5MrjtlfNbaMZz+HeuMnluUtvEkstpqc0zQtA000sWI08kMAyq4XgszfKp4b1JrvLez+x6eba2cjbv8ouNwTJJAwMfKucAccACuWsoI521Rpbea+nv5DEjeU8aFTFGHBOP3Sg5U5+b5MfMy4qaibtYzqxeljZ0i8me8urea3u48t5yi4eNvLVv4fldmwWDkZ46gcKBXPajAn9vanJNZ20m+ZSjz6PLdFl8pBw6nGMg8fWtK1kazv2sNUVZTJazSXd1Oo2SohQKQfuqmHfKdjnrnc2Rq9npsFnPJLplnZrPcwNayz2iIBHvjDK3Q9mYqxB2t7MFmV3H0Jm5OHobfhKPyYb9fJSJHut0YS0a2Ujy0GVRuRyD9cGmTalLd+ILwWcTNPaQC3t2K5jaSQkuzEfwKYQM8chxycCjQY9FS+BjuPD8t2f9T9hhSOQcHd/GxPHp706bTzcaxe6fAiRWz2lrHIoGAId82VUAdwNvbAOR0qrS5UilzcqQmmpqtnFBp1te2lxHZvHbSg2rIVUIrHLeZ12kdAeSOnOK+p3mpR32ranDPagabG0UUUkDMSPLSVuQ4+8do6HG0e+bNlbyXt/d6ha5V1v1ZGdWUNH5USSKeM9m+Xs6DP3azNb07zm8QlvD8t3PKT5FyIo2K/uEA27iG4YH7oPPvUyvy6Ey5lHQvR3V/bvcajFJbrFc38IktpImMiBjHEPm3DaSm18Fcjdg1o3OopDrJVXumlWA5tlgciY7k2sjH5eN+Dg/xfMQF4j1aKGW5SGGOT7dNJasRtbBjjm3k5+78vzZ/wB5R/EuZL+O5XxDp0kNs0ieRMjvnCx5aI8n6KcDufQZIr3ki9UjkNK1O+S5spo59rXNvLM+NLnYZeRZMcN84BdtrDgAn+9Xo8Hm+SnmsrSbRvKrtBPcgZOPzNee6Rp8skGk3A0vV3iWy2s0d8F3MwjIKfvhtX5W447cccehRO7xK7RPGxUEo5GV9jgkZ+maVG+txUOazuUNWur22+yfYoPN8y4VJcqW2xnOW46fU1SivNcufDklxDbQDVAzeXDOjojBX6HnIyo4b1IOD0rosVHIyxxs7sFRQSxJwAPWtOV3vc25XzXuUNB1mHX9EttTtldEmU5jcYaNwSrI3urAg/StSuT8AqZNBub8IUh1C/uLuBSMfunkO0/8CHzf8Crre9WUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAIaK5vxh4gfw7o8d0jQQma6itvtF0f3UAdgDI4yMgemR9QOa5keMtcj0TX9VW60jUbWwliis7m1tpFiuNxTcd3msG27ivy9x16gJahselUh9PWuZ1XxK+k67dQTRo1lbaTJqDkA+YSjYwOcYxntWRoXi3Wr7V9NiuLKWa1vkYybNHu7YWZ27l3SyfJIvVcgLzg45xTWoHYaZptppFhHYWMXlW0Wdibi2Mkk8kk9SavVxGl+KL698UTabf3tjpsizSLFplxZyLcTxqWCvHMzhHzt3fIjYHB9addeKL2DxhJpl1eWWk2vmolsL2zkY3wwpby5vMWMNltoTDNxnB6UbhsdrS0zNZeo6nd2UiJBoWoaipXJe1e3UKfQ+ZKhz9BQBrHmo3dY0LuwVVGSScAVWsLqa6tRLNY3FlISQYrhoy49/3bMv60ahFcTWckdrJBHKRw08JlTHfKhlzx70AtSKeLT9e0zaXju7KbDbopMq+DkYZT6itEYribbXbiy+HMWq21pZpMigJBFGY4h+824Az8vFaEF/rP9qXGmXMtl5zWv2iCWOF9sZ3bSrKX+ftyCvfgVbiy3BnSggjIxVeS5t4JYI5Z445JmKRI7gGRsFiFHc4BPHYGuS8Ex6qLe4aS8s2tRf3XmRrasrs3mtkhvMIA3c42njjPepdCQat4y13Vrn5206YabZoTkQr5aPIwHZnZ+T1wqipkrOwpx5XY6K/0y11EW/2uASNbzpPC24qY5F6MCOfUe4JB4Jq+BXnUVv4hPxQ1MQappiS/wBmQHdJp0jL5fmy7Vx54+Yc5bPPoKsa34w1SHWNS0/TExJpyJu3aRdXYuJWTeE3Q8RDBXk7j83T5fmm+hLWp3poIzXmmqePtetpg1tpdtDGttYXEtveBxMGuJDGYjyNpB/iI4242nPyz23i7xDdXGl6bDFphvbq9vrSWdo5BGggbAdU3ZPA+7u5/vLQB3l1c29nAZrmaOGIMql5WCrliFAyfUkD8as5rl9Iu38R2Ws6TrdvazSWdy1lciNCIp1KK4YKxYrlXHGTyOtJ4GuLhtBksbqd55dMuprHzn6yLG5CE+p27cn1BoA6k80gHU+tOopgIRSAYGMU6igBpHtSFQeozTs0ZpWFYjEajkKM07FPpKdgSSEA4paWigY0j2oxTqKAGgY7UtLRQAlUdR0621Wyls72LzbeXAkj3FQwyDg46jjkdCODkVfooAYihFCgAAdAO1PoooAKKKKACiiigAooooAKKKKACiiigAooooA5Pxtp+qX9jYNpkczy219HO/2Z41nVQCCY/MPlluej8bd3fFUrDSNX1u21bTvEBvzpVzCkcK3xthdK/JZgbcbAv3NuctlT2ruKWklYDmbXwjaw6jcX17e3+o3NxatZzNdupDxE5xtRVVf+AgZyc5NS6R4ek0UQxxa3qk1lAnlxWlx5LIq9FG4RiQ47ZYn1zXQ0UwOdk8MfatQt7vUNX1G9jtrj7TBazCBY45Bnaf3casduTjLH3zSan4aGsSSLfaxqMunySK76eBAsJ2kMBuEfmYyAfv8A6V0dFACY4rK1Hw5omsTJNqejaffSouxHubVJSq+gLA8VrUUAUdP0+y0u1Ftp9nb2dupJEVvEsaAnknC8U6+tZbq3MUV5PasTnzYQhb6fOrD9KuUUXBaHL2/hCCHRJNHk1K+ntH27RJ5WY8Nu4KoOp9c1rf2ZCNW/tLc/neR5GMjbt3bs9OufetGim5NlOTZiWegf2dqEk9tf3aW8srzPZ/u2iLt1OSu8c/NgN19uKpw6Ze6V4yuL20QTabqoBu0LAG3mRMCQf3lZVVSOoIU9CcdPRSvfcTbe5z9/4aS71j+1rXUr/Tr0wC3d7XyiJYw25QyyI44JPIAPJpLvwx52ry6pZatqOmXNxGsdwbXymWbb90sssbjIBIyMV0VFAjl7/wAFWOpXM9xc3V40lwlqkjBkGfIkMin7vUsef0xWXf8Ag26j8QaNJpd3eW9ul1fXVzdRtCXiaYbsBXUggtkfdJA7967uigDn4tMfw7o10NIt5NQv5XMzPPKqtcTNgb5G4AHT7o4VcKvQVP4b0b+wtEisTKZ5tzyzzEY8yV2Lu2O3zMcD0xW1RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUx2VFLMQFHJJNMimjmiWSJ1eNhkMhyD+NK4EtLVWO9tZLhreO4iaZfvRq4LD6irPahO+wWFoopKYC0UlA6UALRSUYFAC0UnSigBaKM0UAFFYeq+IINN1Gz08L5lzdSohySI4EYkB5HwQm4gqgP33wo/iKlrr9vcavPYEFQJWhtpwSY7h1XMkYbAHmId2VGeFbBJSRYwDcorD8QeILfQbVZHXzLiT/Vx8gAAgNJIwB8uFNwLyEYUHuSASTX7eDXGsJAPJHlxtcgkpHO+dsUhxhWYFCvJzuAO0vH5gBuUUgpaACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAKl4kr27LE0asf+eib1x9MiqOm3E8+iQyQwQeYV+4CY0HPbAOK0LmF54tiTyQn+9GFJ/8eBFV9P08adB5K3E0sYGFEm35fyA/WsJRk5abFprls9yj4dNx/Z8fmRRLGQTvWQszNk5yNv8AWt01Xs7VLK0S3jLFUGAT1p8ziOJ3LKoUE5Y4A+tVTjyRSFJ80m0eb2XjnWdX1DT4tOvtEMl1fSQT6aLaSW5s4kZwXkKygfwryVUfOMbuM6svi3UI/DfiPUhDbGbTb+S1hXa20qrKAW+bOfmPTFc5o0viHTbawsYL27hkhnHmLNPYvYLFvJYIRm4K7chc/NyM4rrL/wACWOoNfIdQ1GKyvZ/tM1nDIixGb5fn+5u/hB2ltpPOK0WopRkt0Udb8YanDrOpafpaEPpyJuDaRdXguJGTeEDQ8RDBXk7j83T5eZta8WajaWOjXfkLpFtew+bdXV9ZyXCWbEJtikVGTZkt99iFG0568a954ZEurzapY6tqOmXNwipcG1MTLNt+6WWVHGQMjIxx61avdLvLpYVh1/UbMxptZoI7cmU/3m3xNz/u4HPSgRka/wCILzTPDlhf2UtvdJMy/aNRhtpLiCGPYWaYRRsWZTtwMNxuyW452dCvxqOjw3S6jZaiWzm5sV2xPyeg3vjHQ/MeQfpVaHw4LLRrTS9L1O902C2GFe3ETu3XO7zUcck54Aqzo+i2+i2jwQySyvNM8800zAvLIxyzHAA/AAD2p9wZcu55La2eaO0lunUcQQlA7+wLsq/mR0rNttYv7l3STw3qtqFjZg8slqQxHRRtmbk+4x6kVpXlla6hava3ltDc28gw8UyB0Ye6ng1m23hTw7YO72mgaXbvIjRu0NnGhZT1U4HIPpSALTWr+4uUil8M6rao5w000lqUT6hJmb8ga26w7Xwl4bsLmO6svD2k21xGcpNDZRo6n2IXIrb6UwPOvF9/NY6za2usahp01ndrcSR295fnTbTbG0YCSELI07kSkFWYRsqnMfeszwjr97q9/aWvh++0qwiurBr37Et8dSjtQDENjRbYngb94qhVk8tQjAJn5q77VdMu7zULTUtNvYLW8t4pYAbm3M0TRyFGb5VdDuzEmDuxjdwcgihLoXiK7u7aa51vS18qWNjJbaZJFMYxKkjxrIbhtqv5aqwwQR2oAoeN727017WS61OCLTrq6FusRvDpqL+6eQma5Ad/vRfKI/L+9htwNcxoPiL7Tq2n2nhyfRNL+13c9t9js9U+2wr5SynzPsnlpsjbymYNE8e4yKzbulekazpk+orZT2lylveWVx9ot3li82PcY3jIZAylhtkbow5wecYOTqeh+KNUsnt5de0iJ2VxFcRaRKJYGZGTfG32n5XCs2G96AOmt1nFvGtw6PMFAkdEKKzY5IUk4Ge2T9TVim7gD1pScDNILjqKTIozTAWim5paAFopKWgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBKDS96KAErP1r/kDXn/XF/wCRrQrP1r/kDXf/AFxf+RpPYun8aPMa9K/tvS0lht31G0WeRiiRmdQzsDgqBnk57V5r0NW440utK8SabZ2VxJqN7fSosiWzhM5G1ml27Rt69foMmssLHmvc9vNYJ8n9dj0K71jTdPY/bdQtbbBUHzplTBOcdT3wfyNUtd1kWFtAttqGl29zM6+WL+barpkbtuDknB4qpaaWsvjLUbu5td/+g28Mc7x8H5pd6g/985H0qr4tihsfCo0iys7yTakaQJBbSzYVXXgsFOOB3PaulRV0jxeWPMkdNdajZ2IBurqCAEFsyyBeB1PPpWbq3ifTdL0CTVku7SaPy2aAfaFCzsoPyq3OTxjjNZ97EuseIPDt2lpO8ERuGLTWzp5bbQASrAFeemahfSrqfwz4ns47Z1luJ7nyEZdu/cvBGfUk801GOlxqMbq50Ol61p2sQ+ZZXtrcFVVpVhnVzHkdGx079fSqHh/WrvX/ALXfpEkek+YY7F8HzJwpIaU842MR8o64Gf4hh+m3a6ro0lvDFd28wtwh+02skO1iuOCyjdj2zVX4fXKTeB9LgVfLms4Vs7iLGDFNF8jqR2OV/UHvWclq0jOas7D9I1PWbq6tUvrMRRyW7vIRC67XD7QMk8ZXnFQ3F7NcLfWkc00Oo3UG2O1+b9y+XQyh+0fyg5wOgONzgHq+tcbcWtukWsWeq3mZLmZVtpbpFZ5QscbLtQAeYFkY/KBgkkY5Ocmmkle5zyi4re5ftF/srV5Y919Jb3EcQhLNLcASBn35J3bOGTk4H5Gsu81O5j8TXcsK30JEcUWVtPOiZQZMM6j9597eBtwPlByQwqfSBpltqy3DW1tpU7xeTFbiLyTNu2knJVd5yFAA5XPzYLbVq69pcUN3rdzFpcW1tNZzdeWq7X2zbsHGSxyufbqegMSvyqxnLm5VYp6Re6hb3GjmYTLHbWZhdRpVwSgJi+QnPLfL94DHHTkV0muy3piCtDCLfzEVZBfSwuWYhQD5af3mx1x3+mFY28MXiHSTHa20Z89/mi0eS1J/cyfxscH6f4VuaxpNxqV9FItlp4MEsLrdPlpiqurFR8vy/wAX8R+nzZCgnysIKXI9TF0iSe2YTy2dhLdK9yy3N5fSM6RxyFGAdo22quQOozknHJro/EDTHwlqRlVVkNlJvVGLAHYc4OBn8hWTZ6ZPcJbXsEUEz211er5U0rRqS1wSGyA2SCg4I688FRV+5S5utKj0aeRZr6eBUu3QfKiH5Xfpxn5gvHJ7YVsXFNRsXC6jYtXGf+Eo07/rzuf/AEOGnavLpyRxx6jqAtVZtyf6WbcsR15DAnr06dKg1J2tdYsr14pmgSCaJjFE0hDM0ZHyqCeiNzjHHuKt6XczX1gJ7iFo2MkgVHjZDsDsFJDcglQp/GqT1aNE7to5S6u9ElvPsdtrUsfyK73bau+xVJIwv7z5n49MDOTn7rb95qRHh+WfQpYr+SHai7XM2TlcgkHJO0565osNk3iPUZUViqwQxElCMOrS5HPfDKfoynoRW4EGOBilGLsyYRdn5mNaz6rdw6mhjigmilaO0aSJtjfKNrMM/MMntjpR4c1ttb0+R5oPs99aztbXcGciKVeuD3UghlPcMK2+1cl4TIu9c8T6pCMWlxfLDEwxiQxRqjuPX5gV/wCAVpFW0ZolZHX0UUUygooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAEorP1C7lgaCKAKZZ32KW6LgEkn8qoTard2sN6kixPPbRrIrKpCsDntnjoe9Yyqxje/QqMJS2N41BdWy3VtJA5IWRSjEdcEYqravqJuf8ASlgMTJuBiyNjZ+6cn5uO+B0rSHStIvmQtYs5j/hCrH/nvcfmv+FbVjp1tp6zLbx7POlaaTknc7dTzVzmlpqKjsXOtUqfG7iUuKWimZiUUtFADSOOKoW2mWdtqN5ewQCO4uwnnuCf3m0EKSOmcHGepAGegrRooASkKg9gadRQAwr7DjpS49qWjNKwrCY6cUYp1FMYzHFKBTqKAE7UhHHSnUUANAp1FFAFa5gS6tZbdy2yVCjbHKtgjHDDkfUUWdnb6faQ2lrCkNvCgjjjQYCqOgFWaKAAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBRvbGO9RVYujI25HQ4ZW9R/nvVf8AseJraeKSaWR5xiSRsbiO3bA/KtWiodOLd2ilKSVkwAxRS0VRIgpMUprNfWtLS5jt31G0WeRzGkbTqGZgcFQM5Jz2p2uFrmlRWdeaxp2nk/bdQtbfBXPnTKmM5x1PfafyNUtd1kWNtAttqGl29zM6mP7fNtV0yN23ByTg8U0mNRZu5pap3WoWdkM3d3BACCwMsgXgdTz6Vmat4o03TNBk1Vby0mi8tmgH2hQs7KCdqtzk8Y4zRZsFFvodBSVlaXrWn6xDvsr22uCqqZFhmWQx5HRsdO/5VS8P61d6/wDa79IUj0rf5djJz5k4UkNKecbGI+UdcDP8QwnoJ6bnQ59qTI7mua0fUtZu7q1S+shFHJbvJIwiddrh9oXk8ZXnFY3iibUWurzTIbu8dJbfcRsDKokLrtwkDHA2nqwJ9e9ZSqJR5rGMqyUeax3+QaRnVepArkPDd7f3uoTrdXd4Ps6I/luqhXDbxzugRuNueP8A61L4riEuqWDPbxyxrDMCZbB7tVYmPHyr0PB59jR7VcnMHtVyc6OtDqTgEU4kCuI0CBY/EcU0VtBFGLaVWaHSpLQZLx4DFj83Q4/GpvFjXMsZiEOp/ZWkhikSJ4VimVnUMM58zkNt6gfhk0e193mEqvuuR2IIPSlJA61whvbmPVLiVbLULcQW9qzM80RKojy7t5aXBDKWGSTg/N1ANamrPeXt3ptpGyW4kVruRJ4/MO6Noyqnaw6MwPB/hHbOT2itcaqpxudN1oyPWuNs7nUtU1COZZ7eC4tVuINzwMVn/egMVTeDhQkfOSMvjqKk1S/v7/wZDIkNuW1G3SKRjIUCNNtQFRtbIy/c9u9P2itcPaKzdjrsj1o/GuOvtbsZ9Mjl1Cdba7SR4lto9RaLJ80xbiVKkplc5xwM8Vs6E0B0tUt9RF+EZg0wl8z5idxGck8Z4BJOMcmmp3diozu7I2NwxntS5rktx/4Rv/uMf+39dBey28Vk73c6wQY2vI0nl7c8feyMdaFK41K5cyKXNcNfX/h+1WNYNWluZJX8tQutSBVOCcu3mfKvHXk88A9K2NBuLBbc2lrrEd/OMyuftXnNz6AsxCjgAfqTklKethKd3Y6HIozXM6PqmsXVzape2iwxyW7vIwhddrh8BeTx8vOKksNauW8SXmhajFGlwqG6tJIs7Z7fdt5z0dTtDf7wI64FRlzK6HGSktDo80UgpaosKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKSio5ZY4Y2kkdURRlmY4AFK9gJKM1BBcw3UfmW80cqZxuRgw/MVNQndXARvu8V5gES607xNplpY3Emo3t/MiyJbOEzkbWaXbtG3r1z6DJr1Amqlnp9tY+eLePYJ5Wmk+Ync7dTzVxlylxnymFa6WJPGWo3dxa7/9Bt4Y53j4PzS71B/75yB7VV8XRQ2PhT+yLKzvJMJEkEcFtLNhVdeCwBxwO5rsx0pMUc7umHO+ZPschfRLq/iHw5eJa3DwRG4YtLbOnlttABIYArz0zUTaVdT+GfE9lHbOJbia68hGXbv3KMEZ7EnrXaYpafOw9o9PI5/TrtdU0aS2hivLeYW4RvtNrJDtYrjgso3Y9s1U+H9xHN4G0qBV8uayhWzuIuhimi+R1I7HI/UGuqIqjbaZZ2uo3d9BAI7m7Cee6sf3hUEKSOmcHGepAGegqW7u5Ld3cvdq8/1LR9S1nX5ZJLOxZ44EjbbMrrGQWYAtJA3zEPnAHAGT95a9BNJis5wUlZmU6anozhvDunahpGt3MItbRRMkWQZghZFJy6bIVVsbwMcEYGeGWrd7aaTJqjXTaVZvZx+Yt3ObWMgykj5i2MkLhgzdAW5+623rT9KMZqVTSjyomNJKPKmeceH49CFjYvfXXhpl8hPMSS3QTZ2/xMXPzZ68evSuh8TwzXAtbZbh1ilnhxFFGwdysqlv3gPGFy2BhvlJzgNXSCJc5wM07FCp+7YFTtHlZyctsJpFu4bGVNNWNYJoBGUaeNc7f3ZGdiZPy8FgW4ICh4J92q/2FfXWj/2gstjJI8aRoyI7eUQf3hAH8WOc/rXaY9RRgU/Z+YOl5nK6WltYaNay3trLamK8neGLyzmMs8oUYTI5Vto6gllAyStPjsrkeHtI07yW+2RRxEk8xxNGFyX7Ng9F6k4IK43r0xHHFLT5ElYpQ0scnKqx6FYWPkTJcG6iXa6kl2SdTI27A3Zwz54LDLY643rm5jsoAzKzu52RxoMvI391f19gASSACavEdKMcChRsChY5u4064tvDkcTL5lwtzFdTiIFhu89ZZNo6kD5sDrgDqauadqD6hfXUYt5kto44yjzW7xFnJfcPmAzgBfzrY6jpSgYo5dR8tmYOoFX1zSYFVt8c7St8pwE8qVc56cEqD6bl/vCtsIoHAx9KcRmlFNRtcFFJiYxiuRvW+3fErSY4F+bTrKea5kH8Il2qiH3O1mx/sV15qhZada6e1y9rCFe5maeZixZpHPck89AAB0AAAwBVIsviloooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAytWv2sYYiikySyCNfkZ8HBOdq8ngHimaZe3F2Z0njI8vG2TyXiDg/7Lc8fWrd9ZR3sQR2ZSrB0dDhlYdxTY7SWOCSI3k7s3SRgmV+mFx+YrBxm5N9C048tupT0YkQXhUZIupcD1+am6Xqct3IyzSwrIFy1v5TJIh4PO48jnrirFlphshJsu7hxISSH2cMep4Xr+lOh0tUuVnluZriRAQhkCjbnr90D0qFColG3Qpyi27mZba5dXEsEiQs8EzgbBbSAqp6Nv+6f881pT/wBrf21beR9j/soxP9o37/P8z+DZ/Dt65zRbaX9kdRDd3CwqSRCdhX6fd3Y/GiXSzLrVtqX2+9QwRPH9lSbEEm7+J0xyw7GtKSkl7zIm4t+6jTFLSDiitiRaKSigBaKTrRQAZpaSkBoAWikyDTWdVPJApCvYeaKaHU9CDS5p3AWlpuaX8aBi0U0EetKaAFozScetIDmkAtLTSRRTAWlpKM0ALSUcUZoAWikooAWiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAENFLRQAlFLRQA3tWa+taVHcx276jaLPI5jSMzqGZgcFQM5Jz2rSb7p+leXqiXWm+JtMtLK4l1G9v5kWRLZwmcjazS7do29ev0GTVRinuXCKluegXesabp5P2zULW2AKg+dMqYJzjqe+D+RqlrusiwtoFttQ0u3upnXyxfzbVdMjdtwck4PFVLTS0k8Z6jd3FqH/wBBt4UnePg5aXeoP/fOR9Kq+LYobLwr/ZFnZ3khVI0gSC2lmwquvBYKccDue1PlV7D5Y8yR013qNnZAG6u4IAVLAyyBeB1PPpWbq3ifTdM0CTVVvLSaPy3aD/SFCzsoPyq3OTxjjNZ99GuseIPDt4tpcPBEbhi01s6eW20AEhgCvPTNQnSrubwx4ns47Z1luJrryEZdu/cvBGfUk80KK0uNRjpc6HS9a07WIi9je21wVVTKsM6uY8jocdO/5VQ8P61da+Lu/jijj0ov5di/PmThSQ8p5xsJ+6OuBn+IYfpt2mq6LJbwRXdvMLcI32i1kh2sVxwWUbse2aqfD65jm8D6XAq+XNZwrZ3EWMGKaL5HUjscr+oPepktWjOSs7Il0fU9au7m2S+sxFHJbvJKRE67XD4C8njK84rLupLyTxHZPcWesSqizTxQNNAgRgyAEbHGQAxX5ieG75Ndwa5G+Ut4ojnu2kuYrWGRhFDbORHl4jGSoyXJ556ZjyACprGUWopXOecGo73ItBv7lLiIm0vUjmuLmIq0kOwsZnYH/WZyo8zO0HPvtFS+KoRLqWnu1vHLEkMyky2D3aqS0ePlXoeDz9aYy3OlSx3U1u2ye6T7PEfnW2MsoEm7H8bBmO7JALFRgffku7PSZNSa6bSrN7KPzFu7g2sZBlJHzE4yQuGDN0Bbn7rbY15bEa8nLcq6BAsfiOKSG2gijFrKrNBpkloMlo8A7j83RsenNaev6hGt/p+mssjCWYTSmNdxRYwZF4HOWaPgYOQrY5rnNAj0L7DYPfXPht18lTJHJbIJs7f4mLn5s9fl9eldRrEIjv8AS5IIYzPJdu3J2h2+zygbiAewAzg8CnG/KEObkKMQ1i2uriRbm1S4vWe6W0a1Z22oqIF3eaq7seXntuJwcc1c1O6l/s+Kxnu2j1GWIGaPT13SnIIJTP3F3cb24HqCcil/Zkcuo2+mmSSR4rOf7ROqbSJZHicSLnhSWDMuOAVOPunF/WFQ+HfK1W4s4JZEUMXZViaUfNgeYrDGV7qTjnrTV7MtJ2Zg2muwXkkB+0wWrWsJWFrQK6RYIDeaoO5U+UZH+rA58wnYy9Tc6jbSad5sTyXMU+Y0NmSxY8jhl+70xuJAB7iuQ0/TtRu7rzLW4uEk5KXUQ/dKWLbmJdFWRTww8pQGP3v4Xrp/EFhHe2CIbGG4uXPlQtJAsgh3fef5hjAA3YON20L1IpQc3F3IpufK2zLVtVfzLVbiUpHtka284faBC24Aebtxn5SMZ3Z582tWaUyaKkdpbXEDtiOGKMeWYmXpkgFVUbevKkDADZAbHj0DTL3VtRW30+1iWOGFFLWalUlV5Cw2kdxszjBKspBGVNakcNvBoeUt10qDzT9pWGLZ0O0kMoGFOAfMx93n5equPN1KgpWZz8upXCvDc3N0IWgmuXDyW0lwrshMTOqxkeWiqcAE/wAZzkje3S6ddX9wuowTyW5uLebykkSJlQ5jRwSu4n+L+927ViHw41zonE01jEsd6ixxQBiY5ZNyjZjP3QPlADc44NbOlMxOp30cbyRTz+ZBtwDKoiRcrkjglWwTgHg9CDSipX1FBSvqYwudWn1a0uvttkUfzLa2lWzbbJuHmM2PN+7+6ADZ5yeMYY9HbxXrQTJf3MMquu1TbRNCVznPO9j6cjGK52XQLBdU02CbTbIzPO0sscdovlrH5Ug2g7fmUNtyT/Ew4Xcore0iw/s6GS0W1hjiVt6ywosYlz3ZVxhxgA8YPBGPuq4qV9SoKV3c5dnWTWIY7a21uSDbcKQNRb940ciJuGZugO4c46jir3hEpdxQPL/aQu4raKVzPdu6S71Ybgu8jqrcEDHHFM0m7gtp7iW4F7JJHdXUcYispWRFadi3zKpDEkDnPGAMD5s2fDaxR6xfpbG68hLa3RFuYTGY1DS4UBlUlQO5yfc1CXvJ3M4r30yWDVdZfVI4ZbNVt2vJYmcQt/q1XKNnOOfXpUr63c2Xi2LSr6KNba+Qtp88e7LOigvFJ/tYyynoQCOo56DiuT8UsLvxD4Z02EbrkXxvWI6xwxowZj6Al1X/AIFW0Vbrc6IxavdnXClpF4passKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigBKKztRu5YWgggCedcPsUv91cAkk+vTpVGbVbu1hvUkWJ57aNZFZFIVgc9s8dD3rGVaMXqVGEpbG/S1l2raj9p/0pYTEybsx5Gxs/dOT83HfA6VpjpWkXdXE1YQ9aqWen21iJhbxbPPmaeTknc7dTzV3NGaoVxPwoxS0UAJRS0UANI9KoW2mWdtqN5ewQCO4uwnnuCf3m0EKSOmcHGepAGegrRooAQ0gHNOooAaR7UhUHjHFPpKLCsRiNcfdFPxTqSlYEkhBSFQeozT6SnYBAMdqCKdRQMbjrRjIp1FADcfWgDAp1FADSPSjFOooAaBx0oAxS0UWCwEVRh021g1G7vkhAubnaJZSSSVUYUDPQDk4HGST1Jq/RQAg+lLRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFK+skvURWZkeNt6OhwyH1H4ZH41W/seJraeKSaWR5xiSRsbiO3bA/KtWiodOLd2ilKSVkwAxRS0VRIgpMUp6VmvrWlpcx276jaLPI5jSNp1DMwOCoGck57U7XC1zRpazrvWNO08n7bqFrb4K586ZUxnOOp77T+RqlrusixtoFttQ0u3uZnUx/b5tqumRu24OScHimosaizdzS1TutQs7IZu7uCAEFgZZAvA6nn0rM1bxRpumaDJqq3lpNF5bNAPtChZ2UE7VbnJ4xxmizYKLfQ6CkrK0vWtP1iHfZXttcFVUyLDMshjyOjY6d/yql4f1q71/7XfpCkelbzHYvz5k4UkNKecbGI+UdcDP8QwnoJ6bnRUhI9a5nSNT1m7ubVL6zWKOS3kklYQuu1w+0Dk8ZXnFY+vXf2DVbaCfWdQaWDFwGZrNOGDpxv2c9exGPcgjJ1LK5k6qSud9kHvQT0rifC0wvJJobfVr8i3k891P2ZkfzHdsEoG9DnkdeMdn67ql/p2srcPFaJ5dleGDM7MZNuxuV2jn5R8oPTPPHL9ouXmF7VcvMdpmkrmruG5i13TN0u+1e8LxhiWZWME+4Z/u9CPTJHTAGVrmq6laXN/NDfSokU0kSxbIyqgWhlB5Xdndz1/Ch1EldhKsoq7R3OR0pTxXmo1GY64G/tTWAftH2YstiNxi8nzOR5PLB84yMhSSByTXWaldanaTWUNrEblGil82WRCTuVMrnbgDLe30xSVVNNhGqpJs380tcxf6rrNp4Xg1aKxSaeKNZ7y1KsrtHty6xjPDjsD1xjvkbljewajY297aSCW3uI1licdGVhkH8q03NU7q5bopBS0xhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADX+7Xl4RLrTvE2mWljcSale38yLIls4TORtZpdu0bevXPoMmvUTVKz0+3sROLaPZ58rTyck7nbqeaqMuUuE+Uw7XSg/jLUru5td/+g28Mc7x8HLS71B/75yB7VV8WxQ2PhT+yLKzvJNqRpBHBbyzYVXXgsAccDua7EdaXANHO7phzu6bORvol1fxD4dvEtbh4IjcMWltnTy22gAkMAV56ZqFtKup/DPieyjtnEtxNdeQjLt37lGCM9iT1rtaKfMw9o9PI5/TrtdU0aS3hivLeYW4RvtNrJDtYrjgso3Y9s1U+H9xHN4G0qBV8uayhWzuIuhimi+R1I7HI/UGuqIqjbaZZ2uo3d9BAI7m7Cee6k/vCoIUkdM4OM9SAM9BUt3dyZO7uXiOK4jxHo2p/Y73U31CFZorViWt45oiQoZh0mxxk9QetdxQRms5wU1ZmVSmpqzOY0zQ9Q066aVL23fzNolLxTOzKpPAZpm2/ePbvVHWtNW41O9hsopXu5NOukkLsxO59hRdzHhT8+0D5QQ+OjV2uKaRS9mrWF7JcvKjlLi6vGljv5Vha20wl5ymdpY7lfa3UmJM5OCGJYYVh8sOueG57qeaWK6mb7XPxCIwUTdB5LOT1+VctyQDjbjJBrsce1LjrxQ4J6MTpJqzPNH0CWXxAxkvCZzqWFl2HiX7L5isRnlUbG1T0GQSc16LD5vlIZURZNo3BW3AHvg4GfyFS7ec04UQpqF7DpUlTvbqUdUv7fStLur+7cJb28TSSEn+ECsrwNZXGn+CdItrqNoplt1ZomGDHu+bZ/wHOPwrUvtNtdTWBLyHzkhmWdELELvX7pIHDYPODkZAPUCrwFWjUcKKKKYBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFJQAtJRRQAClpKKAFopKTI9aAHUUnbrRx60AFLSZooAWikFLQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFae6t7UKbieOIM21TI4XJ64Gfoarwaxpt1ZveW+oWs1smQ80cysi465YHFYHjoQfZdK+1QmaD+0ot8YiMm4fNxtAJb6YNZeo2l1qFj4qvLezuhDeWKQwxvCySTOquCQhG4feVeRzj0xVximrs0jTTSbZ2cGq6feTzw219bTS25xMkcqs0Z/2gDx0PX0qnouqnU7m+ZL/AEy7tUkUW5spd7KuP+WnOM59Knj0qws3t7mK1WN7W3aGPywfljO0lQo6/dH5VgaJfq/irV3+y6hHHeGLyXlsJkU7Y8HJZAF59cUKKd7CUU72Ohi1rS57mO2h1G0kuJF3pEs6l2X1Azkjg1lDxvoq67c6fNqVhHHDEr+c12gBcswKYz1G0fnWNpekTW/hjQEFhJHcJqKzTL5JDL8zZZuMjg9fStK4c6X4znvLi0u3tbiyjjSS3tnnG9XckEIpK8MOvHWnyxV0Vyx1Rf8AEOs3Gn/YrHTYY5tW1CQx2ySn92gUZeV8HO1R6cklR3qTVr3U7a6to7O3WWORJTIxRjtZVyg4PGTWTqrrp/xE0G8uMC2uLW4sI5D0SZmR1X0G4IwHuMV2HFYyTa0djCSvpc52a7vJ9GtHulezlnh3S3C5UWsgXeGZT/CCpzk+inIY4w9UvAuuyLPr7WUsRIiDtDmENkDI25ZWO07M8KoZmB2gdH4itZrqziEUk2zz4llhjVWWVGkQMG4zt27s4I4znIrInGpajq9zZurRs1qjRw7Q0aIxkDCUnKljtXHDYPQMofdlPexzzUvh3NC8kv7Xw7Fm4mju2nhiaVvLZhumVSRhdp+UnB2jjGRmuWn1EmSUahrE6SxyRRxk3ZhLoLuVHO1Sqn92oyccYzxXXy2o1fRfssbXNoY5YvmlQl1aNlbq2Q33cbvmHfLVnWNofD99O1z9quI5o12TJatIWbzZnYMI1OMeYvPAPb2U1JtdgnGTa7WLWkXU/wDwik9xaO1zKj3PkF3aXeFkcIM5ywwB3qbRr7U7u5ljvrbyUWCF1YRsuXZTvHPoe1SaTe/aL26hhtJILRER0Z7Z4S0jM5f7wGeinp1Y1s4HStIrZ3NYxuk09jn/AA7rc9/Pf6bqKRx6rYOomWPPlyI4ykqZ/hYZGMnBUjJ6noq5HTyL74k6vdQD9xZ2UNnK46PMWaTb9VVl/wC+666rWxr1FooopgFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAFK9sLa+MBuI95t5Vmi5I2uOh4+tWwPanUZoC4lGKWigBKMUtFAGfqml2esafNZX0CzW8uNyEkdDkEEcgg8gjkGrwGB3p1FACGkA9adRQAmMUYpaKAEoI44paKAM/TdNtdJsUtLKLyolJYjcWJYnJZmPLEk5JPJrQoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/9k=代码呢 柿子饼同学 发表于 2022-8-20 12:25
代码呢
""" 猜猜我是你的谁 """
temp = input("猜一下我是你的谁 ")
guess = int(temp)
if guess == 爸爸
print("没错乖儿子")
or
print("真是我的好儿子")
else:
print("我是你爹杀狗东西")
or
print("草拟嘛")
print("滚吧") wacli 发表于 2022-8-20 12:30
""" 猜猜我是你的谁 """
temp = input("猜一下我是你的谁 ")
就自己改了下 玩玩 wacli 发表于 2022-8-20 12:30
""" 猜猜我是你的谁 """
temp = input("猜一下我是你的谁 ")
你这代码问题有点多 临时号 发表于 2022-8-20 12:32
你这代码问题有点多
额额 看着跟小甲鱼的差不多啊 wacli 发表于 2022-8-20 12:33
额额 看着跟小甲鱼的差不多啊
好了,改完了
""" 猜猜我是你的谁 """
import random
temp = input("猜一下我是你的谁 ")
guess = temp
if guess == "爸爸":
print(random.choice(["没错乖儿子","真是我的好儿子"]))
else:
print(random.choice(["我是你爹杀狗东西","草拟嘛"]))
print("滚吧") 本帖最后由 柿子饼同学 于 2022-8-20 12:44 编辑
wacli 发表于 2022-8-20 12:31
就自己改了下 玩玩
""" 猜猜我是你的谁 """
import random as rd # 从下面的语句中看出你是想随机打印两句话中的一个, 所以用 random 生成随机数
guess = input("猜一下我是你的谁 ")
# guess = int(temp) 猜的是一个字符串, 因此不要用 int 转换
# input 函数返回的本来就是字符串, 所以直接用
output = ["没错乖儿子", "真是我的好儿子", "我是你爹杀狗东西", "草拟嘛"]
# 为了方便, 用列表把所有要说的放在一起, 到时候生成随机数直接引用下标就可以了
if guess == "爸爸": # 这里应该加冒号, if 和 else 是一对, 都加冒号
# 爸爸是用作判断的字符串, 所以要用引号括起来
#or or 不是这样用的, 记住 if-else 或者 if-elif-else
print(output)
else:
print(output) # 前两句话对应下标 0, 1 后两句是 2, 3
print("滚吧")
我真的服了 , 要不你多学点课再来写代码吧 , 你这基础语法也不对啊
帮你改了, 也可以像楼上用 random.choice , 看看我的注释 , 再写一下吧 临时号 发表于 2022-8-20 12:39
好了,改完了
这我刚学有点超纲了 wacli 发表于 2022-8-20 12:42
这我刚学有点超纲了
你那个 or 本来就不对, 它是逻辑运算符, 如果要随机打印两句中的一句要用到随机模块random 柿子饼同学 发表于 2022-8-20 12:42
我真的服了 , 要不你多学点课再来写代码吧 , 你这基础语法也不对啊
帮你改了, 也可以像楼上用 rando ...
是的 谢谢 我会努力学习的 wacli 发表于 2022-8-20 12:42
这我刚学有点超纲了
你这改的也有点太超前了,你的意思我都明白,但按你现在学的水平来说,你的想法你根本实现不了 wacli 发表于 2022-8-20 12:46
是的 谢谢 我会努力学习的
是的 , 可以先学着 , 或者到网上搜搜有关需求的模块或者实现方法 柿子饼同学 发表于 2022-8-20 12:48
是的 , 可以先学着 , 或者到网上搜搜有关需求的模块或者实现方法
好的 谢谢你
页:
[1]