C++ stringstream

时间:2021-06-27 10:23:12

  C++ 引入了ostringstream、istringstream、stringstream这三个类,这三个类包含在sstream.h头文件中。三个类中

    1)istringstream类用于执行C++风格的串流的输入操作;

    2)ostringstream类用于执行C风格的串流的输出操作;

    3)strstream类同时可以支持两种风格的串流的输入输出操作。

一、stringstream

  stringstream的一个重要的作用是用来做数据的转换的,相比其他实现方法,它更加安全、简便。

  1)数值转成 string:

    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" alt="" /> 

    在代码中我们先采用科学计数法声明了一个整数n,然后声明了一个stringsteam的实例strm,接着把整数n“流入”到strm里,再让strm中数据“流出”到s中,就成功完成了转换,运行结果如下:

     aaarticlea/png;base64,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" alt="" />

  2)string转成数值:

     aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZEAAAEPCAIAAAAML24zAAAZA0lEQVR4nO2dv2sc1/qH87csQbsEY7Dbi2Nu8/0arVKsIIWD2sjYkFgES61Lu7gEpGp6BXMNISBUbeN0IaXZSos7F24FqjbdLWZm9/w+Z37tnLPzmKdIdmbOnjk789HnvPPOeb/6F//4xz/+pfPvq/FkBACQCmgWAKQEmgUAKYFmAUBKNNGsk/nqbrVaZLMWO5S3WTA/a9rUTTZt3qvT+d1qdX3aw2goTLPl3Wp5MWu/5dbGqvtxhqHj0KxptixV4+zadDF1eZeeXe+QZrWkNbOLm2pjEv69aBYkg0OzTublHTjLFtu+mNLTLAftaNbpvGojaBbsIHbNml3ciJrVyZTETr+aJZz7OBbNqnE6O6ZZ02zZfyehd4yaJQWVZPI72RV1Ku2AsM/8RP2K2cXNpgXTZWrSLO2aPpmrjas9ly9xcat1SjvLFkqfy++dZkvjGVlHo2jKgHgWQrOeXukDZT427HvdY+X/jdy+r7orNIyz0iX9p4EBYvdZQgzrdG65UKzKIty92j75lSdcjidzvfEampXfY5umFO8g7TzLFkaByDuv3CrGMzL8wbd6Q4ffOZmvxE3TbG7cbZot9Z/Ae6z9ez1jFfQbdaNZritn/eG2XT/EhFOziivD7sntmiV8aFAWv8OvrlnaTSLdh9qxugpYg+jaGVm0oIZmVRgNrWP+Y63f6x6rwF51pFnKlWPoRmEAiXwNFKtmCTGsGpplVRabwWncsnmeWHZb3yrfVM7bQI+zmCMvtX1WTenxHus80DpWob9RZ3NDRz+Vc+80swQiJUSzTua2cHg9NxTyF7KWZunRK0mz7PGdclYSqlnm6FIdzRr541muFAf3sS7Nso+V8zfKp2YmbrKpZ6vvR6+uWcS2hohBs+wRXO0SicxneTTLc30Xt4GuDl36LIEy5u076/Bja2pW2G8UIMQd+SzmhsPG5rOE+aD84F+iRqQ8MInBtJvqbvK/6kXLanxKiSIHTlXsMfiAe6mhZk2MgaTgLATDsbbv9YxV2G/UQLMK0VEvqqBxJgY/eAI0y5wEPyo3Vc5IMIRaA+9/8cP1k3iTg5tli9Xyer5U48ohUwl7roP4vyYRt9/qeZuGTWfXmnZILbssj+9Yx/d6xiroN6qvWevng1X/NpDrAGO7ZgkxLF2zzGGL4h4I+WspTz8162RpWT6wTOTR1LC8rPVHB76MpDWKtZQylbRb0ddn9ynLnytHGVMcbG2apc32vb6xsv9GYt+26rPIKYXRmHUdosaY4gAwbNCsaOluFQeAhEGzACAl0CwASAk0CwBSAs0CgJRAswAgJdAsAEgJNAsAUqI7zfp2vvfLP3s/ZuP+TxK6JIp1mWE4oFlgJLG15GE4MDcEI2gWRAqaBUbQLIgUs2ad7v3yz95T4Q37fKL3rbDPg2zvl38KlAlgvnPBfKy3fDCT9vlW+vbxwVI43NiIuc9zX70feXmGzUIrxSoOmzX/iiUNtBXTPSuCmrbW75V5B2V9haBKQha6r9nDy5LQAfU0K//fg/KKfJBt/ltg/NSiWYIMKfuMD5Z7vyzHD8pmK0TEfFVbTubCLSStDzW7uFktbpaLbJabi8XN/EQ+3L3Uqqv+ja9mj71Xm++y1b+ptQBsQJ+LT+rW7BlvhI9FKaB9ammWpCx27JolfCi1rH6vqQUbnno/CuKqnsJNuFnPT1iF3VOzx1mlJrRmj7Epf8vuSkJ2uqvZI7SPz4IuaOKzfLJl1Sxry401K7ACwki604zytPnQV7PHWf8mdC15vVce6+TtlZuuavYAdE0X8ayS6pplmhs+tdzeWp8DV+bVozAhmuWJ7zjjWc6aPdZeBaibr1duOqnZA9A1tTWrpAyZG9xQHc16KkffQwVrHFTvx1Lvs7rPsqLVv3H7LFevqvusmrRaswega8yaNRv/qM/RzJo1sYe3KmtWbqws3+LDqVm5p1C3hmlWxfKicqjIGXVy9mriqX9To+hpYJ83fatRs0dokBg8dIElP0uUm03ygeiGNsoyG/9onh42j2dVIaAWbHkLlc4iULM8NXuc9W/cNXtcvdrsYKl/E1xJqGqfhQ/r1Owp2jcmdgA0xl5HevyjMEFTHZCwVYtnqfM7aZ/A6H7V5KyxP56lpDIpBRydmqUeriqLo/7NprxNjupc7L0yN+7Iz3LH1LXft8uaPZtgGZoFbRNVHnwuWJLPOk38pcWgKtC7iHnOCNCYmDSrmIRK8azc0AVarQgZqmYpOasArRGTZuk+q1CxmhGuGBieZnkzvwAaEZVmjeS0L9PbiKkxPM0C6JbYNAsAwAWaBQApgWYBQEqgWQCQEmgWAKQEmgUAKYFmAUBKoFkAkBJoFgCkBJoFACmBZgFASqBZAJASaBYApASaBQApgWYBQEqgWQCQEmgWAKQEmgUAKYFmAUBKoFkAkBJoFgCkBJoFACmBZgFASqBZAJASaBYApASaBQApgWYZmGWL1fxE+eQmm/beMQDwatbLw+Xt8fL28Hn/fQ1j7/Xn++8+33txULOFWbZYre7mZ+KH02x5t1rdeWXrdH63Wt2tVots1vs4AOwmgZr18cl+9dafX/Uhds00a3ZxY9Gm07lHjE7nd6vV9enWf0KAQdHh3PDhm4/Hy6tHfZ9hFabZ8m61vJjV2XoyDzBiANCQ7jRr/8mH2+MP5w/7PsMKnF1rs8LgHewGDQBaxKZZ+08+3B4vb4+XRt15ebi8PXqzv452HS9vjy9f5lsfXZafKHj162By/vnei4N8cnf/9U+jx/+59+7z/Xd/TR5L+9x/V/L6J7GF4kDTptH37/N2hH3e7ykdOJ07bFTOyXx1p4TnC9AsgK1g1qxHl2UAyxiT2j8/Wt4evjk/KuNcD998VHfbPz8qdC24NweT88/3zv+69+Lg6xd/3X/3173z93vjn74RBGjvtaBf3783aNN4MpIPkXbefG7Yx65HAtagFZoFsBV8c0OjZj2/OlYC8/puz68qR+5zD/V+b1xIzL0XB8WHBmEq9z//z9fq53bNEj7ce61YrdnFjXtimHN2bY7EBx4OAM3waJY5jp5rVjkZLD+RFOrR5W3lALwgT9+/v//u8zffT5yaNdl7XU2zvvlePlbSLG8wy7nbLFvw0BBgC7g1yxxHf/jmo0+hagXgAzSriHAJ9K5ZeU4Ws0KA7eDWrJeHip+ajMa5Qkl6pCuU+UAPPs3KBUuZ37WmWc3mhrNsQSopwBZwapY5jq7r0foxovtAHx7N+vrFXwbdaU2ziMEDpECwZu2fH+U6petR/hhRitO/PAxJblDw+axNYH6ySXpoT7PyF3TcMalptiTXAaBPAuJZSnaV9ohQD2+NJ4WQrZOzgt7g8cezxAysIiVio1k/faOEusrd5AYnQlNKihY5pQDRw7oOIg3e3UGzALYCmiUzu7ixRLV8UXbeNwTYBmiWSr4Wjao+Z9e+hIaQcBgANAXNMqCt8DfNliEeqlhmi6QHgO5AswAgJdCsRvzxx38d9N49gN0DzQKAlDBo1v/9/7977xYAgBF8FgCkxNB81sl8KM/1Hv/+6dWXT89+nY7GL3748unVlz+/O+i/V5wRNCU5n+VOVfcyHM168Ouf5R0+/e5v4x2ef/7p1e8vqjV+8PbZl0+vSn74uc1u58JUIHcs4IxgACTnsxpq1nDI7/Affp6Ud/hvj4Wtj3//9OrLn9/9/PZZVc06ePtM0CnhW5oz/e5vsTMvfvjy6dXfbx+EnREMhaH5rAHx829rNXn8u3SHP/j1z0IaDqprloqqLM06LFmnB7/+KX1iPyMYEBH6rHU2uTSJy1+pMVG+LjO7uFktspm4pzgHzGeFBcraDGXFHWEf5ZXD/D1EmeDV381nFAMtaJbNxBU8+3VqOEqTp/JDybKpmuUn/5n4k7bTxOazTubSNTfN5sr1Z/dZa1kp5Mayp2k9mbJmffm5so+0ZkMuQOHS4z2jPunAZ0kO6ODtM6NsGTUr78ymqeoOrvxzFdcfBmiXyHyWf0UXn2YJ/si8EoNds4QPpTVL1bVJA1eODz0j55marGWL1X0aa1YeY9q0YPZK2iTOqFnr1v5++6BmlB2fNQCi9Fmum9yjWfUK52grJrenWf4z6pOGmlU8QNxIkiHMZJ0GWvRo81CScBWYiMxnTUa+6E8PmmWaG1Zac2Y341mFuEjSI2UqqPkQeVKViXICWDzNPJiMdAcHkBObzxIo41OyvvShWWfX5qh/O2dkI+65YSFASpZD4OM8Y3Bd/7DVRArYFSL0WQKGYND2Nctet6KdM+oTl2YVGaemB39mwRqNnZM+AaNmiSZL2K2SZhV/FeIys9Aukfmss2tvED1/NmTQpq3Fs9o+ox5xaNbPvykTt5JCyyxSEpTtaU5iyL9x/XVasCxstI2pKrBDROez5Dws8+0t7yPmZ9k1S53fSe175oZyblfVCVrIGW0Z+eUby1s4Fp+11jIFQfjUqJaWr2BNvFIar56qWk6o0azdJTKfFSO5YEk+63Qei/qAgnk5f9ghovNZ0WGqxGOdn0LPKBm8sIPgs7xoPqsI9FJiJyqizoODFsFnhaClHRAuAegJfBYApAQ+CwBSAp8FACmBzwKAlMBnAUBKpOCz9s+PlrdHb/YbN7X/5MPt8eVLxz6PLm+Pl1ePej9lALCQgs96fnW8/Phkv3E7fu17ebj0iBoA9EsCPuvhm4/teJ/nV8fL28Pn9h1aM3QA0BXx+6z9Jx9ujz+cP2zc1MM3Hz1+zStqANA3Ufqs/fOj5e2xiDhfe34lbJL816NLRd0kvSu3vjwsjlX1yyNqUq9CfZ+/os+EVcwBKhCdz3p0eSuZHXm+9uhS1Jr9Jx9E+dCjUS8PN8fmW68Oi8N1+6a0JvHwzUehV649FTwVfSajMdViAKoQmc/SZ2dCAN7gg8TwvB6NElsrXNLmcK01ewD++dWx3LJ/mlniruhTgM8CCCYqn2UIXQkBeFOmgqhKmt5JypLPKIXDVd2xB+DVBIhc/sJCbL7VBAGgGlH5LN3pCCpm0hRRd7THi9IMTndGqhJZA/Dr+NeG8GeLaBZAu8TksyyTu0LFTJoiBN01j5a7oUIBLdErh+1y9KoKaBZAu8Tks1R1KAxO8YmuWfvnR5tPFI+Wm6z1J5qD01qzZsBvQbOoFgMQTEw+S1KWl4fL26PLqyPlwd/aK0k2aiQ7qdxDXW0eGiq6o8XUx+oTydGjy/UOufzVTMQP0iyqxQAEE5PPmkg5UIfPFSc1UkJLauxJyNs6erOvHJunUFiP9TReurY1wTmuYXNDqsUAhBKVzxouVIsBCCQynzVQqBYDEAo+q1+oFgNQDXwWAKQEPgsAUgKfBQApgc8CgJTAZwFASuCzACAlhuaz8twC3uwDSJXkfNY0WzZJv+xFsxr2OUJ274wgGZLzWSneLSn2eWhnBMkwNJ9FnzkjSJsIfVa5yIE8iSsLPeiUqybMLm5Wi2wm7inOAYXKN1oVCX91nGKJKwmhkY76rHRbm9LKvdr0p2i2OHZ+VrZfQWU6OKPAXrE6PjiJzWcpbwtPs7ly7dr/wq9v4EJuLHuaKt94quPMLm42rwTmN7Omhp30WVq4ZpYt1O8V2pSKZcwublaLm+Uim+UNLm7mJ8YT3+qvENYrqhCBm8h8lqQORnx3i+CPtJt8NJ64NMtWHUddA8ulaG32WVt7a5ot7Wtsid0Qmj2dl/f/7OImULM6OqPAXuGzwEmUPst1w3juFv89adUs68p8Hs3qqs+G1QHLOax1f1Gz8mY3nQ/XrI7OqGmvAEbj6HzWZGSLpEhbt6tZprmhuHNHfZYCcIbIkSm61JJmdXNGaBa0QWw+S6CMjMgXdB+atV6vXVONLvvsqdCTC5Zi99rTrA7OCM2CNojQZwkYAivb1yxnFKnLPjtngrrd60azWjyjwF5RhQicROazzq69QXTNX5RsLZ61tT5r8Wytz2IaQXtzw47OKLBXVCECJ9H5LDlGY/5jK+8jZgbZ70l1fie176uOYwgtmR7Pt91n01cLfkdJ3Zpmy9Z8VidnFNorqhCBi8h8Vozk0iD5LMnjQNtQhQgcROezosM0QbPOjKAFqEIELvBZXjSfVQSP7BEuaDTUOCxwgc8KQUxWItQC0Cf4LABICXwWAKQEPgsAUgKfBQApgc8CgJTAZwFASiTns1iJHGDQJOez0CyAQYPPqk5ZpqHOVgBoRoQ+q7+KLwEUB1ry4N1bK51vKKyeDgMjNp/VZ8UXL3mpC9vbcO6tdc/XA1VqYGhE5rP6rfjiIvdoNmlwb21yvkEt4LNgOETps2Kr+OJeyKHRMg+sZABQjch81mQUYcWXsmKrWZXcWxufLwBIxOazBOKq+LKJ31ff2uR8AUAiQp8lsOWKLz46iMF7zzfoEAwaDIfIfFa/FV8CaDnXIeB8/S2wDCEMieh8Vq8VX8JoNac05HydUKUGhkVkPguqQ5UaGBTR+SyoCFVqYFjgs9KF3C4YIvgsAEgJfBYApAQ+CwBSAp8FACmBzwKAlNhZnzXLFqRZuseHB46QInH6rG/ne7/8s/djNnbvUDDXdrO+3wMFRfa8V7bKVSt4nxFiIU6f5dasfOuBNYuy5kJ6Eaw0v102yx+6dqi9xg5AJ8Tps5yMnxq9VUlt6RmcZvlO+WROwirER5w+y8n4qWvaWH2V95JeNGuaLT2LsnarGo7har7uM0AHxOazPIGq8cSjWadzh+7EWNGng0I+4jgUHbM3cjK3bUKzIEpi9Vn6BHD89B9BzgTEwJb9Doy5ok++BpZN5txbLZSx87Ib9i5Zg1ZoFkRJbD6rxBG0cvgs3xJaUVb0Eb6ivTIZuWYJfbCr+dm1ORJfe30xgC5Jx2dJmyya5TI4UVb0MfSwnXJkmntya5aht7NswUNDiJDd8lmeSVl0FX1kytiTY24bHNtqolktLGwP0Bm75bMCxSKuij5il9qdG4ZrlsG+1VmcHqB7dstnuWLwMlFV9OkqBh+kWcTgIS12y2cVsz/THRhrRZ8Ocx2CNGuaLcl1gJSIzGeZExpkhaqbUxplRZ+uckpDNYucUkiNWH1WfQb4Ck43Y4VmQZRE5rNaQUunAiO+KDvvG0KM7J7PGo0p+RfC2bVviOzBQYD+2EWfNRmNWdPOQ2CkbJ3RRtIDxMJu+iwA2FV21mcBwE6CzwKAlIjIZ+HvAMALPgsAUgKfNXCEhUzVhPhqq9/U/nYe73aPMs6OHz0B8FlbINrUfGXtVtNWNGsXsIxz/eIJfYLP2gKxalb/lyya1es4938B1AGftQVa0qyylEadrUZsqypvjwaa1fpotEKcvdp5zRquz1rXqjAssGcNAThWUPBX9AmmkyVrrJpVLchV1MvYfLt4uN6+1Hi9V6zaHY3gGkXb/42sIxnQ54Bx9q3qEePkAJ+1RntF8WS+vgjkV/OUPQNWfWnqs9yLHVdeCjlfRFBH76Hxmlau5rw1RbDK/1Vfw1ZfX6/js1oejSo1irbZK/dIevocOM7+hZtifGcLnzUaT9zrrhgUR9SpjjWrzcIWKt65oe2aXou49tdYGw1pTUGt+mRVzepkNCrUKNp2r5wjae9z6Djjs9LFtSqLSc7E/TvUrLYXiVeprVnC33nvyoLC/aNvraJZnY1GhbXzt9cr90i6+xw8zsSzGtKjz7KuiT6xLDoq3O3daVapC+aOubcG0UCz1uESU7TLFr/T75wKmtXdaDTRrM565R5Jv2YFjfPOaNYAidRnrVurJhzBNPRZy+u5usCW+25vpFndjUYjn9VVrzx9QLMkBuiznD+eocqD6NLV2qVqTHoUXQxe6modzdoU+9BOVoukuEay3tKM3cTgm2hWZ72yXzPOPgePszeelUoMfpgYgprO54abPcUffp0tIV/x1oo+wWw318F0amvkZ1LquDkXthb96Sxb5E4tilyHxprV/m/kHEl3n0PH2aFZ64fL8a1Rjs/aYC66kyPlB6jhCeHA61NL9S1X44FsLafUnAyxyGbGoLI+93FlBm2C9/OTJoWFWhyNtjSrg9/IOpLePrvG2fH7bhosl6hNQrMAAKItqoDPAgAd9/vzfYLPAgCRYkIaocPKwWcBQErgswAgJSLyWQAAXvBZAJAS+CwASAl8FgCkRGQ+a/3uS5SJIQDQO3H6rAYvTwDAThOZzypRF0sAAJiMxrH6rBhKwgBAjETqs9AsADCCzwKAlMBnAUBKxOqzeHQIACZi9VmT0Xi9tie5WgBQEqvPchVJBYDhEqvPIp4FACZi9VloFgCYwGcBQErgswAgJSL1WbxvCABG4vRZ8dYpAoB+icxnsX4WADiJ02cBAJj56ttHD3vvBABAIGgWAKQEmgUAKYFmAUBKWDSL53cAECVun8UiVgAQF565IfnoABAVvngW7/0BQEygWQCQEmgWAKQEmgUAKeHNz+LRIQBERFBOKfVvACASfJpF/RsAiAniWQCQEmgWAKQEmgUAKYFmAUBK8L4hAKREwLoOpDgAQDSwfhYApATrlAJAShhqhf3xx38d9N5jABgy1DcEgJRAswAgJdAsAEgJNAsAUgLNAoCU+B9sri12DwO0xwAAAABJRU5ErkJggg==" alt="" />

   代码中我们先声明了一个string类s,先让它流入到strm再流到n,此时便成功地将s转成double:

    aaarticlea/png;base64,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" alt="" />

    不过,假如我们把n的类型声明为int的话,转换依然成功,只是输出的n的值就会是1,因为n未int,所以从strm“流入”n时遇到小数点转换便结束。

  3)str(“”) 与clear()

   首先,stringstream中有四个标志位常量:

    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" alt="" width="621" height="272" />

     分别可用:fail()、bad()、eof()、good(),查看他们的数值。

   当我们调用clear()函数时是将其状态标志位复位,而str(“”)才是清空stringstream流的内容。例如: 

 #include<bits/stdc++.h>
using namespace std; void state(stringstream &strm){
cout <<"*********" << endl;
cout << "fail: " << strm.fail() << endl;
cout << "bad: " << strm.bad() << endl;
cout << "good: " << strm.good() << endl;
cout << "eof: " << strm.eof() << endl;
cout <<"*********" << endl;
}
int main(){
string s1 = "",s2 = "",s3 = "";
int n;
stringstream strm;
strm << s1 << " " << s2;
state(strm);
strm >> n;
cout << n << endl;
state(strm);
//strm.str("");
strm.clear();
strm << s3;
strm >> n;
cout << n << endl;
state(strm); }

     我们先将s1和s2流入strm,然后输出s1,调用clear(),在流入s3,最后全部输出来,结果如下:

    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ggDtRgtfFpOJWriSsKAcRWRIJlMJXL5YpCAIkTtWAZ9HJdOneu3U8EQGRENlgAYJZOpwkWABkIFgAx0ul0Op0mWAAE0IO1vLxMsABEHcECIIYpWI1enSPlNoA4sI6wnK7Ckb4dgHiZTMYIVjmm2v0zBhAQNVj6FqdfdenbAYiXyWQymQznsAAIkM1m1WABQHRls9lsNkuwAAgwMDCQzWZXVlYIFoCoGxgYGBgYIFgABMjlcgQLgAy5XC6XyxEsAAIQLABi5PP5fD5PsAAIQLAAiGENVhPXtYR3fUy5lp9DARBPD9bq6qrp0pyGAuG0s8/KmL6cZgFJ5xSsQNgezftwyXphIMECEs1jsJzmZe7ztaCCxawQgKbVBqtcy3Z/lwZ53Nk7NVj+jwZAvEKhUCgUGhphtThYpnFW00cDIJ6XYKkb/QfL++TOtCfBApIu+sGq+ygAkkINVt1Jn3VqVrZw396oQA4CICZMIywAiK58Pk+wAMhAsACIQbAAiGFa6Q4A0UWwAIhBsACIYXstYaMHCW+dFOuwALwR1NvLhBEUVroDqBFesPwPi2yXzjd9NADi2QbLWgeneZnLlC3AYDErBKBpriMs20A47RBGTdRghfQQACTxGCzbkVRrgmUaZwX7EAAk8RIsL5Gy1sT/JM6ljwCSKPrBcroLIHGs67A0u9Y4Tc2ctgelXCvYgwMQhpXuAMQgWADEIFgAxCBYAMQgWADEIFgAxCBYAMQINVgBLnZnHRaA0EdYfkLDSncANXK5XIuD5X245LSkHkBCmYJV9xIcp/q4bPcfLGaFADRN03K5XC6XM11LqDV+wbOX241Sg+XzUADiQA/WyspKZINlGmc1dygAcdD6YKkNcmfak2ABSacGS2vwnUVbEyynuwASxxQsg20sXOrjUiU/obENKICE8jIlBIBIcJkStvupAUAtpykhAEQOwQIgBsECIAbBAiAGwQIghv9gteCvivzJEoCm+Q5WIKtDPT4EgKQLKlhOn/LTGhaFAajhceGo+3bbIwfVGoIF4Jj/d2sIexBEsAAcswbL2iCn29a7YSBYAI45jbBUzQWLKSGAgPmZElrvqggWgID5OenutHNQyhZhPAoAMVjpDkAMggVADIIFQAyCBUAMggVADIIFQAyCBUAMggVADIIFQAzble76p+J0G0AcWEdYTpfCSN8OQLx8Pu/y9jLx0O6fMYCA5PP5fD7PCAuAAKZgqb/ncboNIA70YK2urvJXQgBRVygUCBYAGQqFQqFQIFgABCgWiwQLgAwEC4AYxWKxWCwSLAACDA4OFovFtbU1ggUg6kql0uDgIMECIADBAiBGqVQqlUoEC4AAQ0NDpVJpfX2dYAGIuH8Cu7DS+ah3lfgAAAAASUVORK5CYII=" alt="" />

    第二次输出n时为23,说明clear()未将strm清空,假如我们把代码中的str(“”)的注释去掉,而将claear()注释掉,则运行结果如下:

   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" alt="" />

    结果说明str(“”)把strm清空了。不过一般情况下,我们都是两个函数一起调用。

  //To be continued.