c#操作缓存例如redis比较推荐ServiceStack

  在redis中运用key-value存储数据,但是遇到结构体该如何处理,是类可通过get<type>(key)获得,那struct呢,

  定义结构:

 public struct Person{
public int id;
public double lon;
public double lat;
}

  redis中设置值:

 Random rand=new Random();
Person info=new Person();
for(int i=;i<;i++)
{
info.id=id+i;
info.lon=rand.NextDouble();
info.lat=rand.NextDouble();
client.Set<string>(info.id.ToString(),info.ToString());
}

  运行查看出现异常:

  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" alt="" />

  为什么在使用结构体时候会出现异常,而class确可以。

  涉及到.net中对结构体与class直接区别,结构体是一种值类型非引用类型

  C#的所有值类型均隐式派生自System.ValueType:

      结构体:struct(直接派生于System.ValueType)

  难道ServiceStack只能存储不能获取struct么?

  非也,进入ServiceStack text项目:https://github.com/ServiceStack/ServiceStack.Text

  会发现如下一段内容,在项目中如何处理值类型与结构体:

C# Structs and Value Types

Because a C# struct is a value type whose public properties are normally just convenience properties around a single scalar value, 
they are ignored instead the TStruct.ToString() method is used to serialize and either the static TStruct.ParseJson()/static TStruct.ParseJsv()
methods or new TStruct(string) constructor will be used to deserialize the value type if it exists.

存在TStruct.ToString()及static TStruct.ParseJson()/static TStruct.ParseJsv() 可以实现反序列化。

 可以通过重写ToString()方法及新增static ParseJson()等实现。

修改结构体如下:

 public struct Person{
public int id;
public double lon;
public double lat; public override string ToString()
{
return string.Format("[{0}, {1}, {2}]", id, lon, lat);
} public static Person Parse(string json){
var arr=json.Trim('[',']').Split(',');
return new Person{ id=int.Parse(arr[]),lon=double.Parse(arr[]),lat=double.Parse(arr[])};
}
}

 之前异常部分代码:

  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b01W0Cb64iS9tx/pFCRRDtS9Waw21zDNNccioBsLmpPuy4DgD5A67RsksBdoY3qUn/MU7ddZyyBGLSEDFPRnmEny7s6jaBp6sIOU+1rW2OuYrgLEQ/qUVMlCFpUc8zZQldNyLrTfVhx3UAyB+gIkCpk+027LDjOgDkE1ARoAzIeBt2GXZcB4A8AyoClAcZ7oACO64DQJ4BFSkyawAAAGxQ7FhlCtPy4INg1ub94wcG3vyD4MB/kmUm55blH8dENFEuxnFc0fsABlamBipS3jbw5h/kQz9yoiJ+Pl4uxnFc0fsABlamBipS3panLCTfKjIaiY2GxbtTwmhEHI3Eiv41ABUBA8vYQEXK2/InIdmrSICPmVpE9E/xZw+Hr14Jj05F/RHRqnL+jeO44nYADKx8DVSkvK3AKnLu0s03dh5c/p6XtNc+PnD0wmXj52f2N+cPR+9MhM91TXXtip5sCV+5HPaHheJ+DXKrIujWwjN9F/Fr/M8AH/tiXzP5T6pVzVDuXdSVn+m7iB1WzXDjcqNPXQl2+MW+ZrIC6cdYouuGsXXtzZT0Mdrss+6fRs+4e+Qo7J864wCpDnVjoXbe2ITx9OrqUE+UxQm3+JhSfrh2xoXr5OQP3gkq0sxuP9+2dv8DD+AX2UfncvHp8wwx7k0+SYn7Xjbh9lShFwwjI2O9yXdZzyY3g95q8kqm+oFqGv843th5MB5PyLKcSMQFITwZHAuMjty5ee2V7W3Gz4/6B+cPR2/5I30npo7uFM41Sp2/jZ1sRRkJn5M/6MzMTEX8EfHq7dELFy9duHjp6u1RmzkT/nI+u6Dm9Q2b0JcWRYGqGe5nF9Qwliry+oZNzy6oIV9gQ0HNeIjRJ1nyxb5mMnZgP2R9Y4mxG2atkwM0tm6nzxanBXvW6U1mp043ZJ1D/Hm9vmETblTXlrEJ4+m16AY5HMYg/Ck/Jpsfbspx6f5QszQnqEjLgw8e2n6+e+0PyBfZW1n4lKTnWWbI42NkmZGk51mDNki+TW610MsmsOR42QRWFymwube390pAoyKMm6Iiy9/zyloJuX3j8vXLA6hcxxgv6i0SvTUa7j89degDwdcmD7bIpz+XD74fO9ESuX4tHAjzlEMKYhzHUcuv3rrT3X/x+p2x63fGuvsuXr11x443hmHQi6oZ7jN9g2O8eKZvsGqGm6yAyqlWNcNdv68JHYVdITOWjPFi/b6mNzZsJH0aS3RNP7ug5o0NG8lyY4mxG9TWjYfrWrfZZ7PTYuwYeYbtnzqqH51D8hDUGaMfiybwUXa6kbI/1I/JzodrZ1zWpzFdc4iKND/wg662tq4fPND8AHvifFvXD3KROpSDTzL/8HmGGPZ5RRi8TTgXYQgVwcqhURqairBeyozW8ve8RgkZHjxroSKXJ25ygeuX/TevjN664Q9c7A3u3TR+8lNxoFnuaZC76+Xjv5MPvh870hDirgT8JkKCc3b05cy5manImfO9fVfvnLl058ylO+e422fO9+K3fvzTv0Fd+svvfo8aktAXHn+NyZ5bq4jue07WRFFJnZoYxCdHV9NYgg/Hb6FIhDtGLdF1g9q6sZ+61m322ey0GAvf2LDx2QU16Z464wCNDsmoipTA2HnrT8c4LrMxWvTH4mOy8+HaGZfuDzVLc4iKlEXekA+fSrbh3uSTqjxuMilRX2tzEaqK0Ge0TFREEMKMlsHzx6gqMs6L47y47dzaDV2/fvvA2vea3zpwvL375MjrLxz/aNXVU5/Fehrks7vls7vlE58kfrf22tbfnPCHwugo0nbva3puQY2xPIfGcRy1/MSZsxe/9d+4G7pxN9R7+faJM2fxW8M3Rn7/9/9rxe/93vmLl3RHMQyDX09X9U9Xobtv0KwzZGWzmii4kCcH1zSWkJ3Zva9pXA1PqDLyQy0x6wZuHX9A02e4dR+WsXWLPpsNlvSMT6bFH4NFn40DNDqcPsNN1kHnStd5iybI00utQw6H2p+UH5OdD9f+uHTtZmxOUJFyWcPIh09ZZiSkH16kJVg5FBXxsomUuUhaKqLLQgbPHzt/uoOqIkEhFhRi/sjU6NTk6OTU6OSUPzR19uStdTUnd60Z+WjV1ROfiOf3yN318ievXvvVT7xv/PP+QCiMjiKtp/8iwzDrNmwyvpUr4ziOXn79xvHT3XcCodv+iWOnz57t7Z/gRfzuzk8/3/jvbxuPYhgGvZjudjd82RwUYg1fNuNCVKGn/6JZZ8h3LWqit6a73agCrmksQfbcgprnFtQY3aJOWpcYu0GWPLegBn86Zq1b99msFdIzNt3JtHnqjAM0OkR/aSj+4k7qPJg1YXZ6zU6UWX+sPyY7H679cZmdxnTNCSpyLxs5f0UqBF5dd3s2sTlVEaOEnD7aaqYiGwd+8fa55dtOvvbbI5t3Hdh+5OyRnpO317On6n5z43drb33y6s0D7/Ef/OvQir8/sGhOw+s/b6WqCLJ1GzYxDEN++XNoZioyHokOXOK+bGn9sqX1YOeRL79s7h0cmohErb3hLyf5LdV9ey1UBNdEX36LVnB0wFBL0Nkjo4wuPOmCIyqx7oZZoKS2nrLPZqfF7ESZlVv02ThAC4cWQ6Y2oTu9Zt0wGyyub+djSvnh2h8XqAjYgy0PPjjJ/cdCXum7dkf7nZGrOgk51eVd+UGr8fObjMZ7AmfOj/b03unrHxkcvHHp+uidW3fDXfuvb1x4dufqmztX33xjwfFf/7TtF3P3sY9+9trPveNT/GQ0bmbrN25av3GTRYWMjeO4lHVCQuzIseNHj3afPd9rXZNhGPyisallMho/P3ARF6Ly8wMXLYb5fA1LvjAe8nwNO8Pt1jWq84lLGptadJWfr2GR58amFtQxYwm1G8bW12/cpHNu1p+Ufdb908yzcTh2Tp1xgBYOZ7jdur803HljE8bDqd3QDcfYHzsfk50P1/64dD4zNlCR8rbh9/9LIVXk6IXLr2xv090vsvKD1tbjg8bPb0qMT4lx781PG4a37xvc1XKh4atu76n+03dHpw63XH17yYXfrry65Imml77/xYuPff4btvmbjuEQH0VHkbanqQX/+DK+mxPjOM5OtRAf/ergocHBEetquJ8XBpM/Hvc0tUyJ8Rnu5EOsZrjdaHToBWmoGlnOMMyFwYv4cOMhqAK1hGzU2BN8lFkJbova+gy3u3bjJupJ0LVu0WfjaTF6JuvgPwz7p844QKND/E/crtmQqafFeHqtT5RFfyw+ppQfrp1x6f5QszRQkfK21v/9wJVd/1kM/ofCqEhahMV4WIx/fbt5//WGg5ebO33tR/uP9A73h6OxsWDkQAO37V/7Fj/e+Oxf1K39WcuRr3whXpiKxtBRBTaO42zWnJiKNO770roOwzD2m36hht3b1FKUUZe7wanL0tL6Q7WwklaRYnfgXifLP46ImDCzcDQ+GRHaPru05KcNq57be3j/0CQfDUfjFofk1TiOy6E39Luvd3DIZuVijbrcDU5dxravyYv+SnPiDVQEMCXLPw4+ljCziBgPR2OhcOQjz5Gjh3xTQjQixi3q59s4jiti62BgZW2gIoApWf5xRGOStfHROC/EIkJMEBMpK+fVOI4rbgfAwMrXQEUAUzL448jDU9QAoDyYPXu2GJfuQVsDKlLWSF6WuECD9UpWT/+WJJ/HbesJ4ahmZt+lbIYTjiVImxQE34VPjjU/NxEO695yhnEcV/Q+gOXKZs+enUNNKi+y+dbnFVCR1EhelnF7fJIky7LP47YWEpsqgqoxLOVGwpRk+fcUiiawjYeF/u73z3n/33Dn3IP1T46FI0EhTlZwgHEcV/Q+gOXKZs+enc0ff7qo3+bUPwrpx6pxw9nYVREpcOX8xZGwJOEX2bddNj4JFUHR3+3xybJMpihINnwezXXlDOP2+CRqTcnLUtXIyzKsB3tRKuDD0bFZqsiYEEc2OsVfOPnOudYffXv0ByPHf9TT/JcHPv/bW+OjAT6G61hYgB/cWO1CHXO5FjfYOyotC/CDG6tnbezLyjPHcTnoTDSR89GBZWCzZ8/WfTsk4lvHeiXjzzj8/dV9j2RZliTNFw59r3U+zRpSv8Xqa8nLEh5kmoqQ9Z1EGrkICsvki+wpC5+kisiyjP6lqUD8YLHORXBN9H+ZEB50iPKXqIoH8eeedJuliqAHcN4N8+dOvH26+YcXv/rzy1/PvvjVn/e3zjzdWNW5b8HN0W/tPMJzNDK4YeasDb0xPx8/uXmWa2Fbzp8SSjaRscGTep1ks2fPJr8d6o86HOXdHh+pGprvmvHrKalxXSZ+2EnqK/ILi72pR6mNqkfRwwKoiA5JCo9c1PzOz775svBppiLU9RKqihhrmv1lk8qhHVQuVeRumD93cus3Dd/r2Vd1odl9avefnfjiT043fOd00+PHD64cGbt1Nyx+dv560+CIxQPbyRA/2rvl4ZlbTub66e6lpiKjnavue3rPVWKYPTvmPbzu7Ihh4KNDO+fMrD0ctNXz0UjXskoXmcO6XPN3jeb4ZDrDdDNa5PcIf32U6O1l3W43/qfxeySruQiRarBeSdLMPeBC/TyDoiIy/iFomJ2GGS0KZZE35MOncUaL/FuTU+Ui1JpUn3IWKmL/Obt+Pt53bvfBndNPfPEnxz77X4c++u8HPvyjr+se7Pz80ZNH3rodnLgzFW3lAs+1DtQ0X2gZGLkbFk1iXzLE717oqmmO+fn4aKStxqUExIc3D6rVlBKlTu+Wh10uNA+22xB/T26epUTShW26JpRyVa5wCWqIPJB0mEsViXQtq0zG99EI997cWWtORSg101ERbGaaBIbNjoogafB5WI/X42a9Zjm9nJaKaH9K6vrgdrtBRVJTNmsYeV4XUVNSTSqNC1F9XW5LrUnOouZERdBzdnWPt7px9ZLxObt+Pn6k5Rednzx09JMH97//h1++8/ut7/2R97eP7P544anz58/0XfQO3Fhw8Oqz3aG/Onjt6cbuQ8N3TEJqUh5chkRkNNJW41q8OxIbbV5MhnUya9G9pZQQrqi5CFIsXfaDmzP2M7czWm3LK/++fkJp1FwqQEXyZDoVoc5oST6P282yrMcn+Twsy7qTeYMtFcF+lAREP81FCw7J5VJN32gzWrpqDgCu0UqNZj5KO7WllnlYQkWI5Fe/uk7WlAx+ZZqKGHNpqoqQT0hkGMbiCYl+Pn47NPV1w9917Pzj/e//oXfbH7bX/fmXn/zzRs9bq1555Z9eed295cCTx8Zf7Ist7OOfPHD5pcbT1O+zfkZLDeLJnMA1a0NvDGUeKF3w8/HR5sWaqRut/OCcxqSJZPKBkh4sQkjSjGLmz7WKkJNaOOiTU1IPoRJVRcj6umMrUEJGTJGRKtK2vPIh9fVo56r7qmoPB7uWVc7f1bzqPpcLN+RHilXhukfmwYzXaBFfI1VOiJ9o+KJK4/dITTH0KiJrVit1FTRxQG0n+W6K1XVVldKMQKUOqEj5YaYiOAthGAZvLE9VET8fvzMZ7mh8cv8H/+3AzupTh9+6Mxkeuj7yr/+2+n+8secvvhiYf3rqrzvu/LT+3JYjg7cnBXo8JUO8+hovs+vSCCQtNc361MTMoa5Ep1I6TUr+s3fLw4S0+POhIuqkFnU6K/mupYro1AInN2Q5mc2gOkirkOqMRrqWVU5fcypCVjMu2zjPCnylbzZQVISWsjgAUJHyw0xFUBZCQn1CovqFjI2Mjx5pevHEwVduBcf9fHzo+sjaV1/tvTE6/Z32P9t+8ke7Tr1/7NK3Qd48nlJykd0LlbRjtHfLwy6tJDQvdi1sM5aTdnLzLOqMFp7pQjkHlg2/YWHfOLWV82u0lJiunbNK5hYuTXCnqkjb8kryY8JZhUZFVJUidEuzKqNU7lRSEyW3q0p7Gq28rHxVBOUhzpMQGVSkHDFTEfyERIZhLJ6QGOBjqokj/uu3x0b8kWiAj/muj7z62ms3xkMnr/l/1dSz/Zuh9g+/6trqvTvJE4ckzR8ZSK6LuKo39IoBPubHK+czF7CyPS0AABYbSURBVNXMrN7QK/qbF6l1FjVExAAfwyUMwzy8eUDntgGvoi9s9UcGNiAnalsuV3XNwuqHNw8kG3KhCq14Vb+mWSQdchxH7X/G5u9ced/Tjcd2zPvH+nFUcm7HvIqnG69FRH9k+L251WtOhf1DdY/PrD0SFFHla2jg6uv9yyufVI8l7dyOeQ+v674VEXFD313XfQv9NyL6FRURNZUJ//eClYWKSMQUNqyuA6WImYrgtRCUhZw+2nqsY4+limgMqcjI+KQ/Ip65Pnris2NDb7SfX9V0dEvLqImQlIXlXkUiXcsqpz88swYH9P3LKx9CgX6o7vGK6RoVGap7vEIJ/fuXV7qebrwWEc/tmFdRVXskqA/9ehWJdC17tHbDksfWnAqr7bqQ/PiVGa0wbrHo57kwVhYqcq8BKlJ+UFVk7Y72G1eHyIfsHuvYc/zrvcbn7Jp9P33XR37zm998Wt/wReOeI++1cLUHQm+dGn/r1IVVTd9sbS16+MjYcq4iAUIP0D/9Q3WPo/XtqpqaRzW5CKqMfpg+uXARzhtwocuV1ACdiugaQrlIzULVm5rN+DtX4kmth7SHO89ARUoQUJHyg6oi9p+za/b9/DYw0fLVgZavDmz9+bq2F9699WpHyHPy2/Vf97914Mynh4sePjK2fKhIYcwfGX5vbkVSLbQzWvemgYqUIKAi6SHd9rhXZ7g7mx289QyzhmHWMGyvZFaY5b3rKb+ox7btP/yzj4Z+vW9wZdPJdfv6Dp4bnYIZrUIbSlY0GQ+oCKhISQIqkh4ZqwhWAma123M71d7yWzUqoivMt4rcneKPvttyaPGHR9fU9x3oKWsJCeRIRfzFHgUYMlCREgRUJD0yUBEkAEy93VuNiq4iAT52d4o/13Kqv+NCuUtIoGxzETCqgYqUIIzN/ULKZreSPPiUFfHAyYS6YXs9w3ao5ebSYiY8pE9SM0pBRZxkoCJOMlCREoSxv3dhWeycmA+fkuRlVysRnJQEbz3DbFX316rXx32Mr8ONq2l9EluhENNcRVcRf0R00gQOqIiTDFSkBGHs76NeFru458On1MtiGdCpiJlykNBVhExutIslxVURf0QcjYifdPPHrkb9ETFQ/peNgoo4yUBFShDIRVKTpYpIvaxxvov0qa9fJBXxR0R/OOrnY5908292xv69K3p4WLAQEn+ktUa9ZV1bqNyjXiKWExUZK/YowJCBipQgsC5iw+dtj3u123NbUtbJU6mI1MuSSx3U1XVylkx/ePFU5M6U+FmP4Pkm9tYp6fXOxOYj0U4umtaX3KkqAlYiBipSgsA1WrbwdbjVZfDkeoaZiqDK2gVzL7taP3mlmdTa6vFJqkqtSRrbSynMk4pcm4g2XhBeOyS+3S1tPiNvOCavOZj4985oJycE+JjfnjA4XkX8xCbw5F5YurvZwfJkoCIlCKhI+ZGliozxItUGb0de+O23y1uCm04kNp2QNxyTa4/Kaw8l1rWHms7cHJ3idfUDES/rWtQQiY7x4unN1eruiu/gwhIxjuOydxJQX3y1vPKhdd23I9HAUN3jM9d3BaOBobrHK1xPbnjn8RcarpfSwB1poCIlCKhI+ZEnFbnwbfD7q7+Z/97lFd5Q7dH4xuPyxuPymoPCsx9wP3n10N3JiK4+VpFA8yIXIScup6vIk/VjY7wYiBz59aPru4LKSANDdaAiBTBQkRIEVKT8yKuKLPjoxnPbr63wTtYeTbz2dXTBR5en/3PLd5c1GutjFTm9uZptjuoKix5usOVWRQJDdY9XPPO70Uvvz61AcpIsBxXJv4GKlCCgIuVHnlSk7+bkj2tPPbf92ks7bz//4fWljeNPbhms+kXzn/6s8XvL9hjrY8FoWOi6h1Qkcun9uRUMw7hcz/xuNDlMUJHCGKhICQIqUn7kQ0UCkejolDA8Gv6r9Sef/eAq+/HI/13x9Z/+rPH/LN73P5//9Lu/aqAdQsxozXzn9D0wo4UkRJnRUpISmNEqqIGKlCCgIuVHnnKRQCQ6GhZ6vw09/+75f9h6aeayrx544bMHF3z+xCvN568GAob4SKYd+AGFzl5dD0SO/LoyqRxfLX9s7akppQKoSEEMVKQEARVJDwfsDG/2/QyosfKYL/BP2/se+qcv/+gfdvzd621dAyOBsBDIXSAosOUzF6kCFSmwgYqUIKAi6eGAneFTflEDvNjRN/rTNW1Pvu79qudaIBI1JiJlZHlYXcf3i4zpShiGcT0NWpJHAxUpQUBF0sMBO8On/KL6I9FAJFrf5Ws7cyUQifrLPCbmVkXAimugIiUI7IBiz62DdoYf58WUNsaLY5HoGC8GIlE79UvZOI4reh/AcmWgIiUI7MaYGoftDF/0QFBgy4mKjPFlr6bOMFCREgR2hrfh0Fk7w48L4j1lHMcVvQ9guTJQkRIEcpHUOGxn+KIHggIbqIiTDFSkBIF1ERs+nbUz/IQQs7ZxXhxPVaeMjOO4ovcBLFcGKlKCwDVatnDSzvDW39JxXhzjxU+7+RNXo+O8OMGLRQ8cWRqoiJMMVKQEARUpP7JUkaAQo9oEL05EohNC7NNu/s3O2OauaBcnTPDiBC+a1G990bVor8m7pWMcx+XAT7T4AwELgoqUJKAi5UeeVGScFwNh8YsewXNMedbh213RI5ejZvWtVWTvQteLLSUhMDlRkYlijwIMGahICQIqUn7kSUVuBqN7ew3POjwc7bosBIWYMSO5N1Vkgh/eruzpO/3V02F9tc6V97lcDMO4qmq/CYkTfNe/qA9G/M667lFeDAoxXOhyzf/Urykh3RobwiUMw7ieabxJ80bW0bXbu2NeBerbM403eZHqzVhNHXXXv1S6KK7wEPDAidOSLCRcZWmgIiUIqEj5kScVGbrDU591uL491HLmZiDM6yOmqiITfOuLLiUIPvL2AJIQJTxVbzlb7Cmv3KrIgRWVKJhOdK68r6r2m1BydBNDdT+sUKKqWjJwNoRj/fRXT4dR7H5q97gSZJNiozmQ2tBE58oX0YGqE9Jb7455FdpgPcEPb59brSiQsbcGb9RqQVVaHqmufgT1h+/6l4VKQ7jR3r4BRSNxb4mzgceS/QcBKlKCgIqUH1mqSEiIUa3/RsjiWYdjU7yufpBvfcm1aC8vUkv2LnS91CKatVVI4zguV66CfNfLlfM/84shIRbkh7fPrX7tdBi/e3BF5VO7x00OVCoH+a6XH609FhL1hapbOw2FhFjfjnmPrOv2D9X9sBp7MzhR36V6oHgzqRYcqvvhC42nlDqi/i21A/pGO1fOVusbq2VsoCIlCKhI+ZGtikRjVOu/GTJ71uH3ljUa6weF1pdci/YKYiga63m7Wp2Qqfb0i6FobO8i10stollbhTSO43LgR4iForGgr+6H1bXHJpVxHVxR+VTDuHo2ul6unP9ZizKHg8uVd9UDSQ9BYXj73OrXzoSDQtfLeOJrfbdfEC0aUksee+1MOHh45X3PNI4IGm+4Tt/H855rGMet735/XoXL5XJNJ+tovNGqYbd9H897ZH23X9B8psHDK2drC3E1sr5uONkYqEgJAiqSHg7YGd7s+zl4a8rsWYezl+0x1scq0vN2tWtRaygaCwoDnup7WUVcrmcaR5AGVMz/LCCiqFrhcrmqSOWoQEcFD6+8TxvTkZOnGsatVQSLh4WKKKoWUIN4hUvRp8Mr76vSBPSkN1o1rBNGFdE0ISirLN8hlUM9CQdXVLqqQEUcC6hIejhgZ3jqlzMoiOOR6JUA/VmH3/tVA+0QRUX2LnI98vZAKBoL9m955B7PRQImcd9X98MK11M4M6hAK/A1Lz1WrcsMlGBt0RAhA1YqQr5FS4Ao3ijVDr38mFKiU5Gg0PVyJSWt6ft4XoVLo6AMw3xnwaLZkIs4F1CR9HDAzvCT0TjVQkJsghcHb04+/+4F8lmHf/Vvzf3Xx0JCzFC/7SXX4n1CLNS/ZSa6FKd68UvVs97qj01G46GWxWh1vcdwYIGN47gc+BHQkLterpz/eSA2GY2HBO7DubNeOxNRzwb34dwa9NZkNH5wReU/NEyQHvo/njdz/dkAcTZCQtfLj9Uen4zRqtEbCh1edV9V8pCQb+ePqpV/kn2bjMYPrniM6FuyIStvhmrPLXqswpV8dArDMK5n9twSYiFFQiK0vyLNaVEKD6+arR17xgYqUoLADij23DpoZ3iz72coGg9F45PR+KlL4z//UHnW4ZOvtx0fvB3kxVBRlSAby6GKTEbjB1dUfmf92YAQCx1edR8KqeoLrBMh384fVcz/PBDr7x9EoTMkcB/OrdDpCnZFhOBkdKY3VKVRHdItqVKkuuC2UDXsxOiNWg2/lRydQUJCAtfTryqWOnbqoLI3UJESBHZjTI3DdoZP+UUNReOHBwJ/s7btqddbD53/NijEjIlIGVluVSSkroS7XGqugKO8wH2o3uGBgma/OqXDMAyWkIMrKtWFdCLoV+ir6RrCzjFKuFePdRFBn5732PFmGB027JMclJqdJL0lT0vSVc4kZBJUpCSBneFtOHTWzvBT0bi1hYTYpBDbc/TSgbPXJoVYSIilPKSUjeO4HPgRij8QsClQkZIEcpHUOGxn+CkxntImxfhkNDYpxkPRmJ36pWwcxxW9D2C5MlCREgTWRWz4dNbO8EUPBAW23KhI+aupMwxUpASBa7Rs4aSd4cNi/J4yjuOK3gewXBmoSAkCKlJ+gIqkZaAiTjJQkRIEVKT8yLeKTEZjU8UOFjk0UBEnGahICQIqUn7kVUUmo7HJaOzzs8Lp6+JUNDYVjRU9cGRpoCJOMlCREgRUpPzIUkUiYoJq4Wh8SoiFxcTnZ4U3D8c2d4nHLovhaDwcjZvUb/uZa3GTybulYxzHZe+EjxV/IGARMQEqUoKAipQfeVKRqWg8yMd3n4viZx2+0yV+c0U0q39PqUi42KMAQwYqUoKAipQf2apILEG1O5Oxpr6o7lmHmw+Lx66IkVgiLMZ19cNi289ci5sM5aVmHMdl7yScHPXlj+YpN6i/0c2TdS7WPYFv6nbN33OXODNfr6x0TX/zZDhZEh7e9aMK19ONQVxBOZCoFu5aVYk2KFMLw+LR5eoN4ah1omR+/Xgce8Z3ktePx7EfspAcDu4t7gbDMFW1PRMirnZ0eaWLLLlY90SFoVeYpxuD+EQZz0Y2BipSgoCKpAd1Uyz7hTkhSxXhYwmqXfYL1Gcd1rZP7j97a5KP6upHxLaFrsXNYpyPJSKti9UINWvzQDz5rlq+sDVu1m6+jeO4HHrrXFlZVdsTFOORrlWV0988FU6Oa6juiZm1PUFRP9LI8K651bNmVmsqd678/szqiqcbg6jCEo9yYNL/8K65FfPrx5OHRMTLO+YphxhLhuqeqJi/ZxQdqG1L05muVZXz94yqnYx0rXq0elaFWtK5spL0rxla9Sw0uoiiKO8ueYzSSkQ8urxyfv14PCJe7h3gqd3OxkBFShBQkfTwdbjdHT47hfnbQz5PKjJ0a9LsWYd//WpHiBcM8UJRkUjrYheWk4F3Z6JCsW2hy+Va1MbHEpHWxa7qd3sN4bUwlkMVwSFSDY6z1nXzmlBrUJGIeHnHvJr685rIHula9WhtTzstZOMobwzoOgHgFX1S3CbDt6WKkG4j4tHlj7156lDSLVVFIsO75tbsOasdnXKsUUUMnTRzm5mBipQgoCJpoNs20aJQzuce8nlVEeqzDmcv20MLqYqK9G6ZRaYazYtcC1vjmkyFeF14y6WKaAO0LjgOqTNaaMoIF86s7QnSwj01tg7VPfFCY1Cp06rMRKFqnSsrn25sU+avUNpBhGysapHhXXPVGS29DmlDP+oA6aSTmFhTe6u4HbKnIp0rv08qK6+V3uwNVKQEsasiZbNbSX52hlec97LGEK8rLMAe8lmqiBBLUG34TvgnJs86fHTZXmN9Xmxb6FrcIsb7tsxa2BrH5S2LXAtb4/hdsqZZ03k1juNy5Yof3jW3+s3TYWUgnSsrn2kMGqsN1T1RMf3N0+E4Lx5d8dibp8Nx8kCkE9TDcTVePLqi0uWav8cvxvnhXXMr5u8ej3eurHS55u8ej/Pi5R3zKp5pDPJdqyrn7/ErJ1kJ9xpvFdPJkqG6J6pre0Ko/vCuuTV7/GKcdIKtc2Wl0nrXqkdre0JinDxWiCXw0CzOD9+1qtLlQn3O1UcAKlKCpJGLlMXOiXnyKSuJgjER0RQWZg/5fKgIL8anhNjNMf7HtGcdzv5VI+0QRRv41sUuLBgD71ajwntYRXjx6IpKFPe/j4J4Uh7U2G08HKsF6YFsiKyvhH5LFdE1QVbgxcs75tUobdFURO1wUirsqIiuDnE2XFWG8swMVKQESUNFymIX9zz5lE124dUVFmYP+TzlIrwYn4rGLt2aekH7rMMf/1vL0I3xiCEEkNrQt2UWXl1/e0CvHM5RESK4U6O2ptr55MwSvjhq4aJKRgsKr6SE6KK8oIoBTmIEHPoJVdMJD3mggIVBFTBee9UWmsIiJQGpyN4PntA/6zApWnoV0fVZc0JoQpWZgYqUIJCL2IWqBLrCwuwhny8ViSX4WEKIJc5y47/4sB896/CpN9pOD92ORGN8MQQgJ5ZDFRHUa6hCxESQMUSiy6XIEl0Sg12hEK+TEOykWiswxHyXOqOlvhBoeYDOrWnmZDKjpcseUuYiOj/88MU+ImmDXMTBwLqIPbe3PW5qlqAtLMwe8lmqSDQmWZsQk44Njv3t2v1Pv9F25MINXkwIYiLlUSVrHMdl70SIKWdAEL9Zodyf8Y8N44loTBK6XqmcvzcgJg4TS9NnwpozJgzvmlutLzy8svKZxhB6oc1Ozk2KCUG88rF6Y8r6bgEd4lMX8FEdxXOFi2xU6HpFucuEOFAQv1lRqXRYPzS1/7hFhmFc8/cGtB+6r+6JaqVjyhnQDRYPJ+lWzWNwb7M3UJESBK7RsoW3njFey0stLMAe8tmqSFyyNpR2NB0b/vrcdSGW4GOJlIeUsnEcl70TIV7eJ8ExBipSgoCKpKbANxWmJN8qEo1LQlwSYgkhLpW7hERBRZxloCIlCKhI+ZGliohx6Z4yjuOydxKNJYo+EDARVKQkARUpP0BF0rKcqAhYiRioSAkCKlJ+gIqkZaAiTjJQkRIEVKT8WAMA9yqgIiUIqAgAAACQOQ5UEZ/HzTAMw6bY0xAAAADIHgeqiIzuumDcHl8RLsMFAAC4p3Cmisiy7GUZ1gsqAgAAkF+ctgMKBlQEAACgADhwN0YEmtLKoUMAAADAiAN3hsf4PG4GVkcAAADyCeQiAAAAQObAuggAAACQOXCNFgAAAJA5oCIAAABA5jhTReCuQwAAgMLgQBWBHVAAAAAKhgNVBAAAACgYoCIAAABA5oCKAAAAAJlTZBWBNQwAAICypvi5CFxPBQAAUL4UX0VkuLcDAACgbCnmDigYUBEAAIAypci7MSJg50QAAIAypcg7w2NgF3cAAIByBHIRAAAAIHNgXQQAAADIHLhGCwAAAMgcUBEAAAAgc4qvInDXIQAAQPkCO6AAAAAAmVP8XAQAAAAoX0BFAAAAgMz5/8/2LFmgRLCtAAAAAElFTkSuQmCC" alt="" />

结构体是否可以转化呢?

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