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练习1. 在ToyTest.java中,将Toy的默认构造器注释掉,并解释发生的现象。

书中代码如下(略有改动):

 package org.cc.foo_008;

 public class ToyTest {

     static void printInfo(Class c){
log("Class Name: "+c.getName());
log("Is interface? "+c.isInterface());
log("Simple name: "+c.getSimpleName());
log("Canonical name: "+c.getCanonicalName());
log();
} public static void main(String[] args) { Class c=null; try {
c=Class.forName("org.cc.foo_008.FancyToy");
} catch (ClassNotFoundException e) {
e.printStackTrace();
}
printInfo(c);
for(Class face:c.getInterfaces()){
printInfo(face);
}
Class up=c.getSuperclass();
Object obj=null;
try {
obj=up.newInstance();
} catch (InstantiationException | IllegalAccessException e) {
e.printStackTrace();
} printInfo(obj.getClass()); } public static void log(Object ...args){
for(Object o:args) System.out.print(o+" ");
System.out.println();
} } interface HasBatteries {}
interface Waterprood {}
interface Shoots {} class Toy{
Toy(int i) {
}
// Toy() {
// }
} class FancyToy extends Toy implements HasBatteries, Waterprood, Shoots{
FancyToy() {
super(1);
}
}

将Toy的空构造器注释之后就会出现

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" 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首先查看这个异常在什么情况下会被抛出呢:

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bzyDqcoIDapEfycGEKqOI7oK8CYavc6FAgDFE+dCt5yu+qovKkozzxFDInMDzfMpZC6WvrR0fsMlTIdLeDxuFKnl7Ge12sKKm6YzV/D6fmqyqs9s6KHKuargTrKMxi8777YlUkxY5WnjBFXG1c1em2Km/A+aX26d5KO1862jqcroBafTp27HJ5XAVUhzKhptwovxMFKh+qdpRyavY1O7EUMqchergoCqXtla+kHzU7mkKmo5wisZQ8XYjv+Ho7OCwfHsM5lEVrZ9M4npEpB2f5h1glNzUWHHb08ngr4lYfieM8TMHK1W6vM4YTFFBfHu89pijL2RRQS+XJqOiWqcqN8mgIVD5U7SjldJw1LtiJppA5ETmGi6NQWlt7Ff2o2dH1wxzllIim5OlCHGaOs/Pn83BO3TXf6rSm9PJLdMJG1ku5U0NAK4+vIm6dnTyuuvTRirvbLVUPN7aX0grXXh7v/XaZlOXR9eHG79hxFflg5UPFjlZOl/KkXJ44CpkT8fVwUxcCX00/KnZm93BT2kFFGGYjSqpn7+H8lGBt6ssskTynHX8PN03ZtbE/vlD3Oj3cMIbTFFDNHSg+nIOHcyg3CgqE4cqHsh2tnLp9zc4khcwq3ImwLu3t4SbuCns9/ajVV1PIDPVAsZQ8XYieRm+Hct5ZSlVZNMDDjZVfYZ/1VlXcdgI8nOs+coyr1W2R+9Xa1W6pejgphpMUULsfENTE2WkShqzo6FAgdMkDSgqEQcqHup1g5UmtPGoVXAqZETyc/YOB6Aqlr60fdQVUaXZrpJwKhyt5ehq/XvTW/IbtoNXXpQQblK8yK9i377Oupvaj+1t2MOTZDqPKtIMqG+3jUEz1UAmvUWZT1Xa+fDjTBADgkglaenxlcKYJAMBFkuRvtONCDAcAAGlCDAcAAGlCDAcAAGlCDAcAAGlCDAcAAGlCDAcAAGlCDAcAAGkix3CaAqqWLjKfAuqlc7jy4TQlybIsRS2CmZQY82Xuo4h0zrjbObTdorbzjJoSAMkgxHAOBVQxXePMFVATIOx8v4659OSGBIkiNV+ZV+lxgv2p7ezF3Mq3ySqyAngwsg7nUECN5OHCFFBVhUNNgVNXOBQUNXvpfoqUmh2RCcqfsrJl80XBzrb7lijOaSqmhpenPVJvu9oUHucZblfbNmtLqlEop0PRVG/M8X7xUDp1o+jYSS18u82qHOuB51S8nFv51llfUQmzLMuIJ3cDnBxtHU5TQHUro1rMpYAqKQqqyoG6AqSoqBmqSOlQ5nTgr/ypKlvqdmR1G6diqn95ujZ83i18jwNusn7eLQybE1RshjjKqSk9RozhRH2v5jjj+ixpt+KlVp6IyreKfV0JEw8HCTESwwkKqM50k7kUUIfHjDqUA1VlQklRc4pel6rM6SDAMznbxNfOmJ6crx37iz5zdz2949ZsRA8nl1PXwZrXwzUvXtV7yUQPF1X5Vrbv0AkDSIjRvZSWAqpHesdceymFg7SDFSB7But32AMVKfvvwippeDifE82H06p4uJ6RuZVv8XDwmhFiOE0BVUvXOKKHU3ap6cqEmqJmqCKlQ5nTgb/yp6xs6bRjrmkZs5QOxdSJSqTWTJfC6tbIy56llMppZ+GheuXVL7bDCLLf5jKnh4ulfCsj2ncpYTJLCQkhxnCSAqorXeYICqjKyrmwwt9TOFRlBgMVKUNkP4Xyjyp/9rIYV1B8NrZ1mDtBZMXU8PIY7bO4HZmlrH4tUDX7tbHTxFVOq6jj7s2nnL1x4m8/TMmzzXG5r7Jo90NlW6fyZzTlWwXRvqN98HCQEJxpAhOZdQ89AMDhcKYJhGH8OmJ36rIAALgghgMAgDQhhgMAgDQhhgMAgDQhhgMAgDQhhgMAgDQhhgMAgDQhhgMAgDSRYzin0unTw8fjR3aVKKACAMBJEWI4t9Lp4/3HD4+P97E8HAqoAAAwDyPrcD0PV4vmvET0cGEKqAAAAJ5o63CC0ulLKy4Q0cNNUEAFAADwYCSGM5VODWWByvedSAEVAADAg9G9lJLSadQYDgAAYA6EGG5c6RQPBwAAZ48Yw7mUTtvPYs1SAgAAzAFnmgAAQJpwpgkAAKQJMRwAAKQJMRwAAKQJMRwAAKQJMRwAAKQJMRwAAKQJMRwAAKQJMRwAAKSJHMPJCqhdqpcE6jkooO7zTZatsmy1zL+dJQMAADhXhBhOVUD1O46yZW4F1H2+ybK88LvS9nC7NT4PACB1Rtbh5vdwkxRQ92+X2Spbvq3/yjdZtloXZVmWxVqI2AYerizLMl+usmyT7/1yBACAS0NbhxMUUGeapQxVQBU90z7frNtorsh9PFxZ9j0lAACkxEgMZyqg9j8Y83HRFVCrWE30VRM93JhZAAC4XEb3UkoKqK70jpn2UuZLwRtN9nD7fEMMBwCQJEIMpymgPt538dyLeZHCfL8WGE5Udj5s/3bptw7HFCUAQNqIMZyqgNotxI0FcOXcv4fr+afqz2yVZZs8z5tZx926Tmz/q/ZeVulsMwEASBnONAEAgDThTBMAAEgTYjgAAEgTYjgAAEgTYjgAAEgTYjgAAEgTYjgAAEgTYjgAAEgTYjgAAEgTOYaTFVArugNPRo7tOqYCqlvptFjPcrDybrO9XuQzabeaWVwv8kWIct5M5MsxhaPn3WJR5EcrEByF8X6/WM7q/opOvjxNvfJlK4g27+PRByGGUxVQa8/nqxF3fAVUt4aAwRQF1FoDoWdoNnXyXi5ncgf6ixwdkMXr8pEXUd8J/T53vSLaP5/764REa08PlZhjMrIO11dA9TiOsuVoCqhd8sDDOWK7AAXU592iK6T1YrLbbLNN+6kxRMyv+PV39+IzUMsT7kCj3XofrW5bO1tzqGnpGt31Rr1Wt9vVtq1aV0jjYrs8ejsI9dXb2V3IxeZ98zLeFFXKd3WbXy+2q03bdP3ye9pxtad0fR3rL9t8JeOD+ob1lzQe1HwD7ZR6v8vl1OultrM+nqOME9lOw0nuL5lI/SjGplPGoTL+tX40ozfrK0H9q+c7AW0dTlJAfXq4f3jopi8l2TiTYyqgVmgxXBQFVC2Ga2948z4xq1NV0G08X+bXy/3QZpsyuAP3bWFWt5bHba/Ml9ZDVkzXWN0aA3Fb9J1ENwoHbbIt+k9GqR0c9Q1+l6xunsrytqiaQst3ddu7sY28Quxo7em4vs2315vauArqL8d40PINsqP1u6Ocaj9K7azlG2ucnNv9pRKrH5UrQ8eh6zkm9mOpxHCB/Rv6/HQwEsOZCqjV4lz9p0c8d0wF1PaCMA/nZ9Yqp401S9k+3AfvRGOvXfvMWXdhTNtZGO+w+0zOVEuXeN4tltYbRL5sR571vixM0poeTm0HV30neDh345hVdpU/xI7cnvr1joyU+ob01yBra47BUUFvO3q7qeV0eDihGHK+scbJmd1fDmL1o1KvsHHofo5pxRCf5EH9G/z8dDG6l7JTOn15vDdDOnuFTuCYCqgVEzycvwJqgIcbu6OGpQi8A/fZwnrHkWdpjNjLK73F5eH6L78uD6fWa2YPp9t3lT/ETq8ATXuq14d7ONG+hjoeAp+Mqp3xfh+UM8TDafmeysPNfH85yhmnH7tvHeTh3O0W4OFC+zf0+elCiOE0BVT7o5NpfJf6RGWYhwtUQO1u8m0x+m4euovJvn6fLfqvzP3FLXvhR34SbYt2BkBL17CfaN2AW90aMzAes5RaOzjqK7azC+lO0/K1yt+7q8PsyO2pXe98sgj1DesvfTyEPRld40rud0c51X4UY2Ul31jj5JT3VzWbN3bHufM9iocT2tP1HPP3cOH9687Xtz3LslRiOFUBNeC3AkdVQHUrnUZSQN32V2jb5dxs231qLMWFRdnm9dIUkJz19WKbLbsfLWiZhhZGnFWodo1X2VVZC0ung3HvUyTrHXnQzjr99pF3alizlGb5286aYEdtz+FH7nEi1je0v8TxMJKvtx1Hv7vKKdRLbWdtPJdxxolm5xj3V9BvLSL1o1yvCeNQqZraj/bFvTW2sP7VmjT0tyucaQIxOfON10f4tQOAibVpCw4mtD050wQOx3inO6efwvQw9nPvTl0WeB1wBkJcwtuTGA4AANKEGA4AANKEGA4AANKEGA4AANKEGA4AANKEGA4AANKEGA4ALpD2F8r89gN05BhOVEBt0zzFBY6pgApxSVsZUuOws9biXw81z7uFoMpU/3g/X0aR2dxnR3eWzvHQL0++9D29BUyEGE5TQH287w7qehk9d3l+BVSYmzM/oOQ8OZWi6UUoqU5DPF/RPG4q0iiNeeBvDPrlieTLXxcj63CaJzO9ncaMCqjHZ3aFyTqlpygYphhZHybZ6dX5zOFcrjKkxgSlUyFmrRrzdptVl9UF0K8vBdWP4bmLvWOpu8TenFuQAqSWrzIeHO0TUXlSUdBVxrOT4ThsxC7qw3TEVu2NZ7E8Zn2zreFRQtrB1Y9KvuociVae5lt4uFC0dThJAbXlxcfBzaWAehpmVpgsS11RMEQxMlSZ5dKVITVClU6HpW2+2B5TW59d67q+zlpt89FYRDyr3lMBUs5XGQ9a+8RSntQUdOs/lfbX0DxcHdPYmh6KoqZYHlPVxZoVDG0HvR/1dhhR7RFmTfFwExiJ4UwF1BY/BxdfAfWUzKww6fp6gGJkWZpPOh89sAtXhtQIUzo1LpNVVJpnVnQPV5b7bOhdJilAavmK40Fun1jKk7q+YK8YPogvRpXBusVGdRm18vRK0nb3lHZQ+tHRDsPxoJXHyoWl3DBG91IKOnB+Di6lvZSzK0y6vh6gGGld77Ewc/HKkBqBSqfdZUf3cI1NS1RsyoLQqOKoeYHSPpEWoqJ6uNIxS9m6IrcCbaiHm9QOQj/G9nDEcBMQYjiHAmpZekdwKXm4+RUmXV8PUYysWN0Wud9z5NKVITVClU4rInk4VZlTmcfeZ4NZ+gm7Lh35DseD1j6xlCc1Bd3KzuEeTlsR0MazUp4u8CrtYHHSrlehH13tIL9ByuVpr8fDhSLGcA4FVH8Hl5CHm1lhUlcUnKIYWZbe6thlWV6yMqSzUkFKp1J92/hgua86t90fkW3V9ilLL+XPoecbeo5g0VqHIqjg88T2ceUbpjwpzyq7lGYdKLPl3ZqippzZpWuz3OZOt2WRLcQdIr6ztUI/+rWDuIOsV56SvZST4EyTFIm2f3pGZlWGPPeNS0dGEF4Pbp9TKnkOfw9nvvT4hZWXDr+HmwZnmiRFt1Xa+wX5NMypDInSaYs4Hqa0D0qecJkQwwEAQJoQwwEAQJoQwwEAQJoQwwEAQJoQwwEAQJoQwwEAQJoQwwEAQJrIMZyogFqah53E0xYoY5xGs883WbbKstUy/3b4abGW0w+kOeEiuuF+FqNHpcyR6Vn/nG4qWnu+TsVXgOQRYjhNAfXFOLDy6WHcx82tgLrPN1mWF3aKnyfbrRVf6EA82fY4J8UdX4k07RPwtPZMUvF1bmXUhJVXIQFG1uF6Hq71avE0vicpoO7fLrNVtnzbTx54OEdsly9XWbbJfU78cSpbZpv2U1lZ0fPkiLNSIlXrFZ6vaPxaV46VlSpD7JgxaNWqnuf2+rezrOQZVYF22A6+7da2vz5uxfK7200op25fLL/abgCzoa3DiQqorhOZh8ykgOrwTFoMp8Z2iqcU0WI484lm6G+FKSiemxKpVq/QfJ32BeVYt2Kkvx235kOIhwtUrI2kQKu1g6O+Wvs7VHWG5dfazTE+RftxFVABJjMSw1kKqE8PRgz3MBbCxVdArQIyx+xisIfzM2uV00Z+IgQrKJ6dEqnqIYLzDbE/pqflX85oHi5csTaCAq3eDnq91PYf1Y0zUey7xqdgP7Y+HMBkRvdSdgqoTw/GxKT1h8xMeynzpeqNJni4fb45MIYLfSKIpTg3JVK1XofkO2r/7DzcQYq10xVop3g4qwCeMRweDpJHiOE0BVRLGe50Hq7UJyrDPFzIFGWpKEw6ZnWCbuNTKpFKqB4oMN8w+2OKkf52um9ZOxgAABMqSURBVBZThFe8PNw0xdoYCrRaO3i1m93+qjKq4uHEdnOMT9F+XAVUgMmIMZy23make/xcYN7fw1n+abfOVpn1X7XH0p3ut82kZaAw6VZADVVQPJUS6RBHvULzDbXvmhWcaGe72hRNutaeoe08puR5qAKt3A6O+rra30ORVcrXbDe9nLL9yAqoAJPhTBOA2BCmAJwHnGkCEI2LUaAFeB0QwwEAQJoQwwEAQJoQwwEAQJoQwwEAQJoQwwEAQJoQwwEAQJpccAznrZUDAACvETmGuwQF1N3aFocTcSujAgBAwggxnKaAWgkNGP+Mog83roA6VDotAwO4wcVTFFABAOCyGFmH0xRQTc0BjQgKqOrhyFYAVwVq66Isy7JYCxGb6A4DFFABAOAC0dbhJAVUI4Z7ebwfnak8UAE1SOl0n2/Wrccrch8PV5bB8gIAAHBBjMRwvdlIc33OiugkJiugjkmSCitwEz2cV3YAAHCRjO6l1GYjI81S6mhKp6K7muzh/BVQAQDgshBiOE0B1eTpYXw35eG/FpAmKuUtlJ0P279d+q3DMUUJAJA2YgynKKCGCaBG+j2c7YdGVtQqXdM8b2YdoyqgAgDARXFZZ5rs1rglAADw44LPNAEAAHBwWTEcAACAL8RwAACQJsRwAACQJsRwAACQJsRwAACQJsRwAACQJsRwAACQJo4Y7ulhcHZJd/Ly6RVQAQAAXKgx3OP9xw89/QBbATXOuZQeCqgAAAATkGO4WjRnqHnaCum8jIrnxFBABQAAmIoQw7204gJuDxdJPUdTQAUAADgEIYYzJQQ+/rhTQJ3Jww0VUAEAAA7HuZeyH8MZa2+xZikBAADmwfl7uJ4be3l86OK5YyigAgAATEaN4dq5SmNqsmx/LHA8BVQAAIBJcKYJAACkCWeaAABAmhDDAQBAmhDDAQBAmhDDAQBAmhDDAQBAmhDDAQBAmhDDAQBAmhDDAQBAmjhiOEEBtTroxDzlxMFMCqhFnmerPFvl653vV0T2b7dZvjcS3uebPFvlduKrJl/mC0OxL18eonC0zxb5NYdrA8ARUWO4oQJqrapjSQy4mEMB1XBL7/NNUfiUQ6HIBWcmJkLLYSJH+wwPBwBHRI7hRAXUsvksqocLUkB9n2+2+bdluSuyVZ6tOg/XBnbZKs82u319cR2TGZ9WX9mvV8b1RtxW5HmW7+ovrrb5t2bWPfuGnS4L8yu+7Dbb60VeRbH5Mr9e1JFTnb5sm6jIpXZb2K8Fq9umPW+3piBRZfl6kZtqfNXFi837Kq82i+bPofHtartbDPvruU20AzUjPdvi4QDgqAgxnKaAWhPXw4UpoFZx2369Kgo1hnufb/Ll2/q5bMVku6LvFMUYrvFS+7fbxpnt1z0vKDjXohBmPn2x5mm3RetXdput6XU6f7Pd583lq9u8/a55Tb7snE2+zK+Xe8Om0dqVs6yu3BbmdLGVY5NX993n3aIpm9l9VYeWZVmW+6zLiFlKADg2QgynKaDWxPZwIQqojYfb7PY9D1dHdfV/B3m44fX2FyuH164C9hzeNBweTky3YqZFbrilfdaltzGfM3gyzQ5KNfRwPRdYTS+bhemy7llG5BYAjkuIPlxFbA8XQu3V9m+31maTb3fLzuUcHMNN8HAHL90FejgzNtL36WyLLpaK5uGsULvJWrGPhwOAkxKg8V1zYg8nLXSZHmhXKDFctZDWOSp700r9FcUjjs1SxvBwtTN43i2M1S/Zw5mu4nm3MGI4ywNti3Zm0t4Vuc/MsC8whru2sq7DxN6uSyOjbu3QnDUFADgCagw3VEDtzV5+fP/oNj3H7+EMt1StxtV0e0nafSLdZc0ekLeFvE+kSWxDw+Xb9920Z2/fir3DxZwdbd3qFJ6N7Rubwt79kWfbbmuJuQmluj5bdhtVum0mvZ0p9keNezOnNF3planq1wJVdsOdQXLW5k6iZcFSHAAck8s706R1Zgd5FAAASB3ONAEAgDS5vBgOAADAB2I4AABIE2I4AABIE2I4AABIE2I4AABIE2I4AABIE2I4eGU87xbLveMkFwBIBkcMJyigPt4rxzFLnLkC6jlinIN1HDSVnCNgqvm0A+AY5XneLZb7oCHnT1ep+hiXC9YatE6A40xRuEzUGG6ogFqLxtX//Hh4YmWPM1dAhZbh+ZNzM1Dz6UsWzFiebXE9m4eriFL+WnPjVBiHmlbky3y+FgOYCTmGcymglmWpnMnc45gKqJW8wFDR1BY77esDSOmnwTzU0Xo4SkqnbaCw2LzvLmgE3jRlVAfCE1my41Jk7Y6y7M7VVPOr5gkPLk+FpvgqpvdjrNvdSL0kZdfasnGqdU/3tVd+Z7tJ5RyoEZnHZAf2i6x8qyrWGqXq+zPCOLhAhBhuRAG1LCt9gVHTR1RAteRsOuVSS1WnOlh5m3+rp58DvfUhD6VT63Vbud6N5FHUfEVF1u4aWxtBZmwNLKg8ouKrlt7mni/7MkBKvSRl14GHHlrrlV+z7yinHMMF9oumfKso1rZYohBGos9NCnBGCDHciALqy+O9xxRleVQFVPPg/y6Aa7UCzP/WOzX9LBhqqqlKp4K+tn69C8GjKHbG1Xx85ugmeLgwxVdHem186JPkeonKrs2gbbSE+vJ4oodT5IrUcsoeLqhfNN0+vV7GBULu/u9MAGdCmD7cy+O93y6TsjymAmpDp6HTqeEIM5Ba+lnQf/ypSqf1n9Z6iZ8y6oDBE1m14+Phxrcpjr3N+JfHolN81dL7qkDjSrNKOfPldvW8z253+XK72vZDuhAPp5Zf8nCB/aKW36mIW+LhIB0CNL6fHsY14UyOp4D67W7Z12wrirJZnLMUTfP1Tk8/B8zHn650WpZl9ZxSN7yJ1w/f1suyHD6RdTvak9osxuo2H/gnYXFIVWQNKY+m+Kqlt1Xo+Q+tXoqya1lui2xZVOugi9u+x/X3cI5ydh9ti7r1wvtFa2e1Xt2VzFJCCqgxXF8B9aX9pUBNnJ0mgcgKqL1tJtaimrmjRJE/tdJPjf2Crymddp8Oogf9+qGnkZVONTsORVZz4mtxO4zABM/qo8jqLk/PiJmFQwm2mp80PZyrXpqp592iftxbz33x1wIO+45yGptKhKL69ovcziNNVLLTBFLh8s40SVsB9fgb96Nz5lVoJxhPXZDzhl8LQBJwpsk5YMQuF/vkNXa9705dFogAv/iGBLi8GA4AAMAHYjgAAEgTYjgAAEgTYjgAAEgTYjgAAEgTYjgAAEgTYjgAAEgTRwwnKKC+GBKoo6bPRgF1v76In4f3z8Mt8mFKWZbmwRa3u+5btkBMkHSOeQAHAEAyqDGcqIDaOraXx/vRA5hRQJ1G74xBQxmnMJ1ce01fIWW5Hz/7uMU47ZdDKwAgMeQYzkcBNZKHm1cBtRPK6TRRm8R833xqnmNpC/F0Hx1PMVX1cMaBWO01q1sp9vL2cJaIzJgwKQDAZSHEcE4F1OZA5otQQG0ocsvD1Smb7frte/v69/nGOIXZ1iI4mmKqw8O1f+4222y7z7TZyMkejpOZACAhhBhuRAG1LMs2yHNycgXUFsXDmZ6sVdvp6RJs82+PoJhqiZV4erjqqPiBVE19GR4OACBAH87m6WEsjDu5AqqVPvRwlj6c6OFq5ldMtTyctR42NktZilKZAR7OyItZSgBIiwCN73bysqzivDGBuNMroDb4ergqFuyufJ9v8uXb90dQTO1CsU54rCzLoYS3sNNkKHSieDhJp83Y3cNOEwBIDDWG6yugWmmRfy3gz2EKqHW6tf2k/a65FHcKxdRWfcYKqmxF0Ooj69cCZVm7rttdOVTgtGYdx5RICeAAIC0u70yTtBVQAQAgFpxpAgAAaXJ5MRwAAIAPxHAAAJAmxHAAAJAmxHAAAJAmxHAAAJAmxHAAAJAmFxDDtUdVAQAA+OOI4QQFVGd6n0gKqNaZjQAAAJ6oMdxQAdWdPiSKAioBHAAATEOO4TQF1FFlVJMYCqgEcAAAMBEhhtMUUJ3KqAKHK6ASwAEAwGSEGE5TQPVRRjU5WAGVAA4AAKYToA83nm5z4F5KAjgAADiESRrfx/BwBHAAAHAQagwnKaC60occ4uEI4AAA4EDO80yTfSbsqwQAAAjgAs40AQAAmMB5xnAAAACHQgwHAABpQgwHAABpQgwHAABpQgwHAABpQgwHAABpQgwHAABp4ojhBkqnL4/33cHL48d2TfRwxXr55iZ7c7NeCx/u7z7K3txkb26ym88GH362fnOzvPtqSqYAAJAcagwnKJ36HUfZckAM99la8XAVxY3o4QAAADrkGE5WOp3q4ZqY7Kv86iZ7c5O9+aQoy7Js/rz5rLi5qSOz+qPKw7XXf5QXluWhh9Nju9aIbAoAAFJFiOFUpdPps5Sfrd/cLK8+qbzL/u6j1tNYvmr9ienhOm+0/qTnmbQYbpD+VX51k12t9519V2gIAAApIcRwXkqnTw+jPq7v4boVsq/yq/pPh4czXFF3fYWvhyvWS8s1frYmhgMAeDVM0ocry7J8erh/dJvueTjRY/l5uL7rmurhAADgFRGg8f1438Vz3UymTs/DNd7LmnU0fFK1YGbMUlqziwfMUnYp/VgQAAASRo3hRKXTbiFuLIArhRiu8nO97R5G4t0nxpaQm/Vd/bMBY/GsvXi4c8T8yLRv7zRpvSYAAKTOcc40Gdn9DwAAEJ1jnGmy7KKrT1gUAwCA48C5lAAAkCacSwkAAGlCDAcAAGlCDAcAAGlCDAcAAGlCDAcAAGlCDAcAAGniiOEGCqhGso+8gI+Hcyqazsj65o3FzVn/HH198+bqLsIvCQ+0U9xdvelxdXd4qQ4nVvtEYX/3UczBvP5k+g9Je6Pcu7PM71V3Rtv1s7ZzlH7sCn8eg7PkvptMcXd18JBTYzhBAbXWz/HViPOP4U6laFrcXR3eQ3dXcdzjudkRsVqsuLs64p02a70iEn8wdyeShxfG6C/f55HerWd1v4isb7q31eLu6piegPsuOlHGmxzDqQqoHsdRttgezqVEOnwoGJqo9mGSxXppnkvZfktLd9Jrwepd6ebmxn5/relepK6u6hE2eLnqvmC8BrdZqPZ1O+q7s2R/ih2zXs3ljnZoWmx9Y95jjfWbdVuwLh/znbprb7Oojam7q+oi4wvDi+epl4553mntZtqJh+XdV+a/hXNTu3Go27n5rDEindd6td6bHi5wnPefjMOGe2MFBP25DftJKjxxFDul2O+B/dhauLorzD/UfAeP/vXNm5u1Pq708lepV3eFObR7DcR9d3i93MTxcMMYTlVAfXq4f3i4d8rGmRgebkSJ1PnaawoCWOdb7u8+amxq6SMMW7C4uzI7xnRO5ruwfTNIHbbu6nd31RsZgn3VjlJOzX6onbsr+55o6uVoh+HjoPmge4q1Jei/Uze59R689s1mfuHGqOaM9VLsrpe9cdU6oWK97DzcmPCFbqe4ucmuPlrffVUOxnM95muXJqhK+Yxzs45ma2rt335n1JrbjtbvZWA/WimVv9LzlW6TmypFG1eudqhcRJWyvqm/wH0XtV5u5orhNAXUSuK7/tMjnus83JgSqfBQWFs6A42HswNBWxYnNIArlTvKjMOMT4drEzXyCLBff0wPp9gP9HCK/TA7Rf/atkRaOeV3SatI9lu4+KwUFhbaJ45VF7MYs9ZLpFskNiUvuq9/MpyNKKXB7LBT3PTe/D4phq6ri+GCx7n9yq7GHNYI8vdwqh2l38uyDB3nhluTAxEjX7eHE8aVux3E4cF9F7VeDnqBxGQC9OFeHu9N0ZzH+5EwTvdwfSTl0vZRIoi6dXOY9juslq7mG+DhDIx3k1IeAdaSR29yKIaHU+2H2Zl+p0k07wC9h4R8qTJ2HQU8kYdTF8D2dx9lVx8t30iDU/Bwsh1RAVj3cMa3/MZ51zLmW73TA4XEcMH9WwZ7uKbLjADO9QSXZilLdVw520EYHtx3kevlZq4YrmOg8W3ongZpfI8okfYfCuYtvf4ks2ZsjFu9vUxLH8Pfw1kXWjeb8VH7EDHvNHv2wOnhBna0cur2w+z0R3Z3A3jeae1VRimqd69uRrcXB7cXiWO3mlAZ2p+7XjLVDKHlgZoXr/bfgyl3Yy9lM851O7LG/eANb/I47890GctJat1DZik1O1q/l4H9WF9nriSN5SvuNNHGlasdhsOD++44951ufwJqDCcqoAb8VsC908RYbxAVTbu31Jt1/cWbz/rL7PaiiLaNRUT8tUAbxBsrt2+MeXxxcsK01aUb8wFXNzf1JLfDvmKnX8ze4m3P/gQ74qyLVk5hkqOZHXLUy/yS/UQQynN3VVen3zhz1ss5UuwherXeGyPZ3GlihFPGV8TEJt36qUw7hquvdEO6VQb+KF8HjvPe7gz7Qaa0v9icejvrt4bW72H92HbmIJDQ8hV/LeAYV5Id9cdE3HcR61WOMX8Mdxj84htCiTGkAfowrtycafuYm2SmwpkmcC4Y78dn8YNWSAPGlZu024cYDgAA0oQYDgAA0oQYDgAA0oQYDgAA0oQYDgAA0oQYDgAA0uS/AGMFz8X8nXSGAAAAAElFTkSuQmCC" alt="" />

当应用程序试图使用Foo.class.newInstance()实例化但是失败的时候抛出此异常,可能但不限于的原因也许是:

- 试图实例化的是一个抽象类或接口、原始类型(基本类型)、void。

- 这个类没有默认的无参构造器。

好了,看到这里基本上就可以确定是没有无参构造器引起的异常了,那么为什么呢?

我们跟进执行过程看一下:

这个是newInstance()方法:

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" alt="" />

在412行的时候调用了一个私有的方法getConstructor0来获取构造器(顺带一提,好多私有的内部实现都是加个0,难道是什么约定俗成的东西么...)

传入了一个长度为0的Class数组和一个Member.DECLARED,我们先打个岔来看一下Member是干嘛的:

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Kk3MGbXTFN07Rxz5F24VO9vSjvrVrnt9G7dOWPQ/ZH8XhiuNO1FiSsyzdDmjoKqo2FGsspZ+a9YfUmIGUAdnTQ7FMaQrh6p1VRSb/61ApRVyHNB4Dtsq2PaChHcScP1vB7jB34HcgObAIAbIhtDaXroPTGtvaqnvLjk/m66wIAO4JQCgBAEEIpAABBCKUAAAQhlAIAEIRQCgBAEEIpAABBCKUAAATpkvpbmm/kHko3P/W3/nSeaH8UqY8x0h+zZ+OQOnsx5qefALAluqT+Ns6XOIXS7Un9nWewybRl9LRre97QYkwoBYBtEJr6u6dQuh2pv9MilNaioNjLVJOONeKiPUnZOCaUAsB26Jb6254SXOM4wLstqb/LMd5mh7IZGtXNyTbQuryapIwBXgDYGl1Tf1vnqxxD6bak/jb2SjOGpGNCBhXz8s104oRSANgGXVJ/O8yvLOEO3nWm/tauleoMvUyv1NmEUgDYTt6pv6X5kuWE0rWl/vYJpS339JoGeKvCowkDvACwHTxTf9vmmy0hlK4t9bfyYxj1mq6YCjs1Z7eWl1dvv5okXC4FgK2wrY9oWG/qbwAAStsaSgEA2BCEUgAAghBKAQAIQigFACAIoRQAgCCEUgAAghBKAQAIQigFACBIl9TfaZrmzzxqe2pgujupv7NHFCkPOcqeTOT/NKIsI5v7lhqqwSOQAGCTeKf+zpwe3T4+PT3qK5RuRervLNNLkes7msQj+Xm8JeMze72+NDSQxxQANkuX1N95brWLHkPpNqT+Pp+PJosqGVz5/1RI8d1IslaGz/lJPD4pX9VirfLMXmU+KcEBYIN5p/6+KFPD9BhKtyL19/l8NFlkqdCiSTSOqx6nJcW31CstvzGo+WGmB0ommTgpyiElOABsNO/U30pemCzI3pjU31koVYJZVWdbZpi2Ad4yTWlefiWaxNNz8pgCwKYLSP3da6/Ux5pSf5ehLl5EaZpWYdI24kooBYCd5536u7LOULqO1N+NUFeGSUuK72rsN07K3qo5lOoDxUqEJiU4AGy0Dqm/tdf6GuD1sobU39Uobjw9V/8sL5eaB3iVO6qqOFrdhVS8WnVMTbcpkRIcADbZtj6igdTfAIANsa2hFACADUEoBQAgCKEUAIAghFIAAIIQSgEACEIoBQAgCKEUAIAghFIAAIL4p/6u5jrl/nYPpZud+jsXTapkamFpRwEAO8I/9bfbo3dLTqF0K1J/Z3G0eAxv9vy/3kOp8fH3W1Q+ANxA/qm/lxJKtyb1t/RiM2V3Hmsn9Wfw1pc/iPNML3Kq8Gzh0cmL4vm9SaTH8qyvrD5SX+0950/Jl8s31l9aLwCgxjv195IGeLcg9Xct2ZlCSNmdRbsqspbLqP+vZXoRe43Zt41syTjJoqCUYabRe65a1Vi+VH9pvQAAlXfq7/oLbcHUMZRuQepvKZRKeUblUJfnDzf3VsVQ2ly7UL5n/lS5/tJ6AQCqgNTftvmVJdzBu77U38YQ1SWUKvReIKEUALaOd+rv06Oqh3qhLiRYTihdR+rveorvxbi43Cik7HZL8R0n+0okM6YKr7292sRyoPh8PlKulUr1lMqX6i+tFwCg6pL6u7pY2tYlTXcm9XdBTfFdhUlTym5Lim8xT3hqSBWujwZL642nJ4l655G5nubypZTj8noBAIptfUQDqb8BABtiW0MpAAAbglAKAEAQQikAAEEIpQAABCGUAgAQhFAKAEAQQikAAEEIpQAABPFP/Z2pHoXU8uRA91BKJm0AwDbyT/2dh1jXnKVOodQz9TcAAJujU+pvh0fvltxCqVfqbwAANoh/6u+z46Pj42rk15TGVOU4wOuT+hsAgA3info7u4Ca/+nQQ3UMpT6pvwEA2CDeqb8vTo/UTqp+FdWAO3gBALvNO/W3/lIVYiWEUgDAbuuS+tvjpzCEUgDAruMRDQAABCGUAgAQhFAKAEAQQikAAEEIpQAABCGUAgAQhFAKAEAQQikAAEEIpQAABPFO/V3Oc0wN4x5KvVJ/J1E0nkbjaTSbu77FaPEgHkcLZcaL6CQaTyN9Zp+iSbQ/ikYnL9IsH06WWs76EP/pgV/uubLYkXPm1+lBkeRukoyXk1EgmnjUBwC2iHfq79Oj6lmBF60Ps19O6m8l/r2ITpKkfQWiJDJETePMHkWTeJRlwkldk+F0SD83P4kdQ5e6ZDRpiesAgBr/1N8KNaxK3EKpV+rvF9FJHH2RpvNkPI3G0yqUll3V8TQan8wX+cJ5L1N5NXvLYjZVlld6okkUjaN5/sZpHH2hrrpWvlJOtQr1LQbRJJ6eJPuTRZrqoVRph1oUzEJp1YsdJdOTeH8UZf14tadb6hZKNUJ9si7s6ORFUZ/ia4GwvLmXfD4fKbs7XyZrCrkdAGAD+af+Ll24RNJlpP7OeqKL2TRJxF7pi+gkmjzIz8JaL3Oe1KOvsVdahMPFg7iImotZLdwaoniSGAaN66JJPD3P/9VD6SIqlpkeROpwtxJKk3IZbUg8TjqH0lQd4FW7pHJ98mhXRL78JcvyxvrodZ6WPXVrOQCwabxTf5fcIukyUn8XofRkvqiF0ryfmk9BobS5vP7GLLKWV2prkdVOC6LqJucdtXzSQ6nhkmqPoVR9175DfZqra1leqI8SPpUCreUAwKbxTv1dcouky7iDNw+fiwexdufRF/NJFduCe6UdQqnz5dU8lGax8KQMpYuxMrhduwlrehCNJ4naJa0v01MoTdPFOF+LrT6mUGpdXqpPUU4VU9vKAYBN0yX1d5o690mXFUpNFyPVUDdPhF5pdrGzioj6HUz5W4TQ2zbA6x9K03QxLvuaje5pc4A3jZPaAG8enM7no+7XSrXQlZ7PR82LuI36GEKpfXm5PtODJKp1Sa3lAMCm6Zb62z2SLuV3pUr8y66Y5qobi8qbhqrFihuCHiTmm4aKmWVnd/LgRTViXLuJSb/dSR1YLuO3JLtFqLqhJk7KAVXlrqJ4PKnuKip/DFN/bzUQGk9PkmL+YqyMjmq3BQnNqS+v9QhN9amXX4Y6x+Xr9YkNvW1jOwDAZtrWRzSUUbM1dGHTGS+7AsD22NZQih1QdrLpdwLYaoRSAACCEEoBAAhCKAUAIAihFACAIIRSAACCEEoBAAiyNaG062PwAABYLu/U36n6GKT+MsOkLU9bLR8MCwDAZvFO/X2hPJz37Lg9mDqF0rbU33RJAQAbyzv1t/r0XSkluMotlNpTf9MlBQBsrg6pv22PuW9yHOC1pP6mSwoA2GT+qb/PjpVe6XFbpzQ89TddUgDARvNO/X12rIzpan+YBd7BS5cUALDhvFN/a5lKlx5K6ZICADZdh9TfynyHX8OEhFK6pACAzbfJj2hYjA138wIAsFk2OZQCALAFCKUAAAQhlAIAEIRQCgBAEEIpAABBCKUAAAQhlAIAEIRQCgBAkA1K/a1JZpPBcDwYzmaGFxeHt8aD4XgwHA/vNV68NxsMJ4dPuqwUAAB/3qm/szQxyn+X9wzeezMhlGaSoTGUAgCwUkGpv9WMMZKytKKX+STaG44Hw/HgTpKmaVr8ObyXDId5XzN/KQul5fK3okQruRlK5d5qWYi5KAAAOvNP/a30Si9Oj1oHeZXS7s0Gw8nenSyMLQ5vlSFNC4qzO2oorcLe7E4tBEq90sb8J9HecLw3W1Tl2zq7AAB48U/9rV9D1fqoJvVQWl3FfBLt5X9aQqkS86rlM66hNJlNtBh8b0avFADQH+/U327zK7VQagyNbqG0HiO7hlIAAPrknfpbdXbcfg9vLZQWYVIbsFWCX3ZRUxng1QZmAwZ4qzn13i0AACH8U3/7Zf5u9kqzgFq790eZeXhHuT9oODvMfxWjXOAsF27eRqS+pJav33ZUhmcAAIKt8hENLT9uAQBgG60ulE6q/uIdLlwCAHYGDw4EACAIoRQAgCCEUgAAghBKAQAIQigFACAIoRQAgCCEUgAAgrSG0rPjxlONqsfZd0n97Zeae3F4q6+kpEoStxUkOp0NB4PBYO8wqc/oVJBSzvIkh3srWhMA7JSWUHp6dPu4lv1FT/3t8wzeLnrL7109JX9VksO9wWAwzB/vNBvu7e0Nuz3r6XBvFQEuWc1qAGDn2EJpnlutmey7zLd20ZpjTQulxtTc+czhveJV4wN1a+9SXyoDZDGzyiKeFVXL+129Reunag/mlVKFG9crSA73hrPDLHyq/0+LKJvJ+qnZnL294WAwGAxnWRe2iMOHe3uHs/ItSrxrlpMvny9XvO4UwgmlANCNGEovytQw9lDqkWQt1+xoJsPheO/W7PBJmkVWJaoZeqXJbKI8y1dNIZ5W0fFOUhscbumVqulihFTh1vUaJId7w1k6G+4dJrPhYDhLy1CqxqzkcE+NpsNZNqQ7nBUFpHloLN6SHO4NrOXk1VbGk2dDl1hKKAWAbsRQqiaAuX27Sv29tFCqhq4q5jUXrrq2agKZmbK8MWQaQ+lMy0KTh1IhVbh9vQZ5JMyvdaZpWvVQBzXF/CLyDaqubJqmaRU81YKlcvJNG3rFxdmwy3VcAEDqdAdvvVeqXB/1HODNmEOp0H0UQqnYvxSvrTZDqdbLVHqlQqpw+3pNVSki4WxWdCLzv4fGoGULpVpYLOYL5WQ8Q2lKrxQAuvIOpenF6XHVQ+1y25FXKFUGaYtol8wmg9ryeq/UMZSqc2Z3ql6plCrcul6D5LB2m1H592xoulHW2iutuozKAK+5nLx6hFIAWJGWUFoO8yqjumn5Wxj/H8MYUnNr9yIlRaLv6nKp8hbjzEH9uqY2WttcWFm+uu1oOMvvM1LCtumOJGG9TYl+l1D1Z3mZUx+YLRcYzsqfvygjuHvDYfV/Nd7Vy0nT4jKpcdjXhlAKAN3wiAYU+F0pAHRCKAUAIAihFACAIIRSAACCEEoBAAhCKAUAIAihFACAIIRSAACCEEoBAAjSJfV39ggk9flHFoRSAMBu8079nSdf0xLE2BBKAQC7zTv1d1q8RigFACDtkPo7RygFACBN0w6pv3OEUgAA0jTtkq80QygFACBNU0IpAACBvFN/1wZ+bx+d2ldAKAUA7DYe0QAAQBBCKQAAQQilAAAEIZQCABCEUAoAQBBCKQAAQQilAAAE6S2UfvPq9eLzL+/e/8fv//ze3fv/WHz+5TevXqeEUgDArusnlL589frvH8wffvTk6dXz56+/e3r1/OFHn/39g/nLV6/XFUrnJ/Ho5MVaVg0AuFG6pP4+Pao/Aul88cV7jz69fPnt5ctvL19+t3j57eXLb9979OlnF/9aUyhdjEdJpM+an8Tj2LCoNB8AABfeqb/zJKb5f/Mg+4e773/w9ItPnv/70+evPymm5OmzP9x9fy2htN4ljRdRGTLP5+PyJWk+AADOuqb+TtNUedD9z994529Pv/7xT3+lTn97+vXP33hnHaG00SWNk/1RVEzx9LxtPgAAzrqm/k7TLDtM9r/fvfXw/vzyw8vrR5fXjy6vP/z8+tHl9f355e/eerj6UGq8Sjo/ifcP5tODeryU5gMA4Khr6u+L0yPlEur8n//668OPH19dP756+fHV9eOr68dX1289fDz/5+qvlRqukqZpOj1IojRNz+ejg7nLfAAAHHXJV3pxelSLrV9df3P3wUf33v/40ZPPP3v29aPzy3fef3z3wUdfXXe5HzgEN+4CAFbMO5SeHZtzlL64fvXk4urNt89+86d333z77Pzi6sX1q3TVvys1d0kBAFgez9TfF+UPYXLCDUmVVYZSuqQAgNXbpQcHLsbchQsAWLldCqUAAKwBoRQAgCCEUgAAghBKAQAIQigFACAIoRQAgCCEUgAAghBKAQAI0iX194WS+7t1BZsTSt1TfEeTSEm+Fu1PFo1FFuNRtL+cJ+BHk8j4zCa1VuqGSMsvyfwkrlVgS0nt6S5riv1Rvf2l+b2IJmJCQPt6V3ycSCz1X6/w48HXUo+TlVnXcbX6/WXXJfV3GUEvTo/qGWMaNiKUdkrx3fYYwsU4IJTmGbUe52wAACAASURBVGncrSl3jbGe7l9KeufdbpL+2lM6Tpb3GEt7TsDNf3zmJuY0XF9uqM3fXz3awM9vX0JTf29JKO2S4ttwiJ/PR9X3ICWUKvPLrmree5uUqy6OIXVh/SuV9C213kvWV2H4VmuqT2Z6UM6PW45Faz3HJ+WrymdDXq/EXB9jOXJ9nMpX6im1p0g5foypcENC6fQg2h/F05NyFfnxqfb+swqXpU0P4mlctoYhBa97L7lqCnvW3qzxD+Jx1pJ5g5gO6awxrcuL9ReOn2wnjk5eFBtS7UqP47m2/NKOByNLOxuOE7l8aXt7aQdLOxsZj6sO5z3f/S7uL7ndzO3vf76y6Jb6u3jK/fYM8HZI8d04xNVn/GoDvGqx2Yqq/xe7v1aa5duZ+RQsfwtrLm+pT7lkNHE6eqReqXrG107xpvVKpPpYyvH6Vjs9UD5RcaLVx+tbbbwoVzo9qIfw8F7p9KB2xqmOmWpdcaK0sxKBlOV96xNNqosX6j41O5+PstNfnGS1Latn3l+25c31tx0/2VkymxMnWTm+x/NqjocmezubQqm5fGl7+2wHUzvbCV/dPM57vvs9TYX9JbSb1P6+5yu7rqm/0zQtu61WGxJKO6T4rh8iyrksVYtqfNvabzsVpksNpXJ98m8Azd6krH2At9wu23olpvpYy/EIpefzkX6RO5roHSD3T45epWWEUrXMsnktodS4vGd9PK9QlC0WJ9mJqbxiYt5f0vJS/e3HT+3TV26C+8G2quPBUElryfbRL718aXv7awdzO9sYQ6nHea/Lfhf2l7ndhPbvcr6y6ZL6W3F23NYx3ZBQ2oFrKJU/KusJpY6nyNq3UYFHKA27eKzUx1bOOkKplnGoeZ24j1Ba76a0hVLz8p716SmUWk5VYig11t9an9ZTfOvxvKrjwbC8Xyh1K1/a3sB2WH0o7bbfDftLajep/LDzVYN3KC3HfdOs59qWsHR3QqmeV1wdSJHuYbMeUsVeL4a/5PWmaeo3wCvVRzuFFSc4O2M9pe3yvZdPqo+lHEu7tZRf++S4nzrVJctBS0U/A7ymQeyqhPP5SLtWWruE3H2AV5mzGNs7WHJoNO8va6/UWH/b8WM6pfoez6s5Hprs7WwYVRLKl7a3z3ZYeig1fH5993uamvaX3G5S+9vXuz8y/nZD5Jn6W5u3TddKvYg/hlFvX5ok+uXS+kBBeU2+uFykXwyPG5fltVEa7SW98LI+4vLG+kgzWzTqad8ur1VYFhZfMrSbTBgoE9pTVG7y/igeT8q7gaT2t+0XoR3yYusHyblyb85Jkr2U/ZhEWV6/fu9ZH7UpWuJo2VZxXhP1xqj6/pKXV5tRr7+pHFP9hf249uPBxtTO4n6Rype2t6d2ENtZYK6//3lP2gTH/V67DmreL9JxLjVdh59s8YgGYM028cchwA2m3ZnlhlAKrJPyM4b5uusCwHDRxAWhFACAIIRSAACCEEoBAAhCKAUAIAihFACAIIRSAACCEEoBAAjSJfW3dX7d5oRS3yyb4SltA1L7GlKLLzvFrmP56jNuVrleN0tMyV6zsSmsAayed+pv+/ymjQilnVJ/96Vrat+en7bcoxWk/g5IEby6duMpRQAyXVJ/t6YEV21GKPVL/e2X0jZNU5/UvpaUzlJqcf/6lI+vrJ7d2uP2+qb+llL4mnvt/imCxZTsTbuSwhrARvFO/W1NCW6wEaG0n9TfYkpb39S+YpIyIbW4b32qfJB6RpG+trdL6m85pbCx1+6TIril3eq2P4U1gE3jnfrbJSW4akNCaQ+pv7vm6XQtR8yH6lmO/kb34WX3ZEldUn/LyZtcQ6lUflu71W17CmsAmycg9fdW9Uo72I1Q6p6AMDSUdk3d7NwrFcrvK5RuSwprAJuHUCpyDy1+qX3FlM5ianHf+qinePdsQcGhtFMKXzGUuqcIbmm3ui1LYb0Y01UFNl6H1N+2+U1bGEq7pLT1Su1rTOmcplJqcf/6KGOMo4PWAV6/8v1Tf0spfK0psj1SBNtSstdtXwprQimwBXhEw47r+lMcAIArQuluIqE0AKwMoRQAgCCEUgAAghBKAQAIQigFACAIoRQAgCCEUgAAghBKc/z+EgDQjX/q74vTo+pp9u1PDtycUGrNsqk9fA4AAHf+qb/dHr1b2ohQ2pb6my4pAKAz/9TfWxlK7am/6ZICALrzTv29pQO8ltTfdEkBACG8U39rzo5bg+mGhFI59TddUgBAkIB8pWmapmfHR6f2FWxIKJXQJQUABPIOpadHVQ+1GgSWbXYopUsKAAjVJfV3dbG0rUuabnYopUsKAAh3kx/RsBgb7uYFAMDPTQ6lAAD0gFAKAEAQQikAAEEIpQAABCGUAgAQhFAKAEAQQikAAEEIpQAABPFP/a3MdkkOs6GhNJlNBsPxYDibGV5cHN4aD4bjwXA8vNd48d5sMJwcPllSvRaHt0wr7bB8b/VMhsO8NbQG6aF8aztL/Nbr3p6z4V8Gg/q0d/giTRfDcs7eJ4emxQbKAkmapskne/VC8uoM62957zApXtTfNRh8YDo2O0oO9waZYY+lAsj5p/7O06y55izd0FCaptlJ2RhKM8nQ6xTfD9+VLr2SszvjwZ2kfbnulroJ3oXPPqhi2OyDPNQln+wpMS85fK9YZjEc/EWJTdqfs+FfBsOFeSWNl5Qy83LyqNyL2XCwd1j+l2AK9K5T6m+HR++WVhRKq17mk2gv60JlAaD4c3hP6V1lL2WhtFz+VqSfuppnYbkXVRZiLkqqrV7avZk6U1mL1i/cmxXnYHH5nupZW7hsN3P5+czhveLVqnCh/sqrbtHOc71i+1hoQa6MoGVMLZfJ49xiqHYrtcVeHO6p/VFV46Xkkz29DzobSu9V+peKvUPbjpwNldeTw72hvqr2AgC08E/9fXZ8dHx8ZE1jqlphr/TebDCc7N3JzqSLw1vlWVU7WVfdrOxUW5x5Z3dqoUU6xTfmP4n2lAgxuyONG6v1LBdYHN5So0tbXHkS7WnDm5blg+tZLmbulTZXnQyH471bs8Mnze2S6m/fBCOv9XoWrga5F4d7RVhVu6pquK0PyYo9VF39JUv/tRf1UFr0UPMXCaVAMO/U3xenR9WfDj3UVYfS6jRdnbUtoVSJJa5Rqj4/mU20GHxv5tXba0aF5kpnd9TeVcdQ6l3PctVeoVQN1cUb5frbN8HIY73ehWvXMst+YXL4njLcqoTb2QfqMOxsqFzg1MeE9Q2ovWTpv5reHd4r1UIpgB545yu9OD1Sc6udHrV0TFccSo2h0S2U1k+7XUOpq2rY096LSmaTqp4BvdJu9fQNpc12ttbfvglGruvtULje+6xma73Gqk+ph1g9Rmpjtvo4cD2UWvqv/dCuj9YHeAH0wDuUptm9SPmMs+MN65XqPaHmAG/WI1QGeLXeTMAAbzXHEC30988manDST/3KHadFOY3unVq4Yfm+6mmqnrYdjiHNWn9jOXZeodTSPoaSa6GxoHY3lQulaXL4njowq71djcq1S6GNgK11Z+u3IPUhORwWobt+21Exvtvj2oAbqEvqb4+fwqyhV1rebFIbzCxmHmqDjbPD6g6goufUuF3FfCeLWr4+Zmu4Rqio3XNU7ykqqyjKqfqvw1l5F5Vl+X7q2WwHa/naPUHlNu7NFmL9Le3sUqX29crt01T7mUptbPbF4V7xUh47mz9rMf8SRnlJKaRxbVX7KU6P9+4WqlFhvUs6G/L7GKAHu/SIhpYftwDQzYbccAT0YVdCqdbVW+7vIAEAUO1KKAUAYE0IpQAABCGUAgAQhFAKAEAQQikAAEEIpQAABCGUAgAQxDv19+mR+TH3EkIpAGC3eaf+Vv+4aH2YPaEUALDr/FN/K8QXFIRSAMBu80/9XZJDrIpQCgDYbd6pv0tukZRQCgDYcV3ylWbcIimhFACw47qGUsc+KaEUALDruqX+do+khFIAwI7jEQ0AAAQhlAIAEIRQCgBAEEIpAABBBv/xX2lz6lEZSi+e/x8TExMTE9PuTYP/+K/02bNntX8JpUxMTExMTI7ToBlHnz17RihlYmJiYmJynHrrlX7z6vXi8y/v3v/H7//83t37/1h8/uU3r14TSpmYmJiYdn7qp1f68tXrv38wf/jRk6dXz5+//u7p1fOHH3329w/mL1+9Xlcovf/L+P/98qu1ty8TExMT085Prb3SeurvVH3SfTH/fPHFe48+vXz57eXLby9ffrd4+e3ly2/fe/TpZxf/WlMo/d8fjZLf6jPv/zL+0X8bFpbmMzExMTExuUwtvdJm6u8q+Vqanh3n//3D3fc/ePrFJ8///enz158UU/L02R/uvr+WUFrvkv73//62DJn/M/9R+ZI0n4mJiYmJyXmy9UqNqb/Vvy5Oj7Jn8/78jXf+9vTrH//0V+r0t6df//yNd9YRShtd0v9O9kdRMcWT/2mbz8TExMTE5DyJvVI59beSyfToNJv1u7ce3p9ffnh5/ejy+tHl9YefXz+6vL4/v/zdWw9XH0qNV0nv/zLevz2f3K7HS2k+ExMTExOT4yT2SsXU32fHSq/0OJs9/+e//vrw48dX14+vXn58df346vrx1fVbDx/P/7n6a6WGq6QXz/9vcjv57fP/u/if+f+7PXeZz8TExMTE5Dg53MGr90rPjpV8a8UfX11/c/fBR/fe//jRk88/e/b1o/PLd95/fPfBR19df7PiUMqNu0xMTExMK54cflcqXytV4+qL61dPLq7efPvsN3969823z84vrl5cv0pX/btSc5eUiYmJiYlpeVNLr9SU+lsd+m3P/73KUEqXlImJiYlp9dMuPYP3f3/EXbhMTExMTCufeAYvExMTExNT0LRLvVImJiYmJqY1TPRKmZiYmJiYgqbV9UoBANhJq+uVAgCwk+iVAgAQhF4pAABB6JUCABCktVfqlPrbYnNC6fwkHsdOS0aTSEm+Fu1PFo1FFuNRtH8w77mKxdpHJy/stVI3RFp+SeYnca0CW0pqT6ug/Z413f5oBftricdnTTSJ9kfx9HwFq/LTaf8GWeH+XaIVn0/U9a54f/WrpVfaTP2dZTFV/nuRWm1EKI0XURlKz+djtwNlfhJbD6nFOOBUNT1IIq83nM9HKzkz1hjr6f6lpHfe7Sbp3p5B+z1tP676ElpPd9ODzQula/q8pKvbvxthAz6Pm8LWK21N/Z09z96+gs0IpVqKb8ePveEjcT4fVd+blFOVMr/sCuS9t0m56uKYUxfWv4JJ32rrvWR9FYZvwab6ZKYH5fy45di11nN8Ur6qfJbk9UrM9TGWI9fHqXylnlJ7inz2e30VB/NapDEcV8rxqb6UVX508qLY0aZDSF2vVE9piw7icVZsXgG5fOvy04N4GpdvUTZWqKe4XV7HZ235kP0rtL9FL/s3lbe3l3awtLOR8XzS4Tzmu9/F/SW3m7n9/c8/PRJ7pWLqb6VXenF61DrIuxGhNDsgGgd961v0/bcYV6cJbQBNLTZbUfX/4nCplWb5Nmf+Vit/a2sub6lPuWQ0cTrapF5pecZUy5TWK5HqYynH61vw9ED5BMZJPeq4fti893s0qS4KqG1VzmmcaheRUmftK0J2NslKjpPsJWG9Yj3Nzuej7PQXJ9lRWg42mMu3La9E0PP5SA2x0vFg2i7f47On/Wttf5O+9q+0vX22g6md7Zr19z2P+e73NBX2l9BuUvv7nn/6JfZKxdTfeQTN5+ph1mBDQmm+y30+YPVDKk60P8uiGt/O1MOuOlb0ty8xlMr1yc+wzd6krH2At9wu23olpvpYy/EIpefzkX6RO5roHSbHI8F7v7eMrNpHO/ZH9VBqX7har1RPSblAnGQnpvIKiLl8aflG+GkpR9quNPU7Pvvav6m1/Q163L/S9vbXDuZ2tjGGUo/zWJf9Luwvc7sJ7d/l/NMn73ylui0Z4O3ENZTKH631hFLHi2S1b68Cj1AaeHGuqo+tnA0KpWI9fU+1am+ycR3acOoRyu8rlFpOVWIorXfLbOWI21VfoL1X3U8otba/cfke929J2t7Adlh9KO223w37S2q3jp+7ZXP4XakcSs+O2+/h3Z1Qmi7GtesxyoCe8fiwHoLFUVIMl8nrTdPUb4BXqo92yitOiHbGekrb5Xvvn1QfSzmWdmspv/ZJ8zvV+u13ff5iPKp32sSYVw6ilkynHmG9Yj3N5NBoLt/aK9UvaVfXwMTjwbRdvsdnP/vX3v4mfe1faXv7bIelh1LD59F3v6epaX/J7Sa1v/X8k3X0l9hPbemVGlJ/+2X+3spQKv4YRr19aZLol83qAwvlNfzi8pJ+8TxuXMbXRnW0l/TCy/qIyxvrI81s0ainfbu8VmFZWHzJ0G4yYWBNaE+XRmjf78351bdpYX+VTbo/iseT8rdG9eXV87V5vXI9xZaZLLJ3lTeDKJc/lfLl5dVqZ/9Xe6imeorb5X189rR/hfa36WP/Oh08Ae1gO35MzPX3P49Jm+C432vXQc37xdT+9qZbfijlaUcAAITgaUcAAAShVwoAQBB6pQAABKFXCgBAEHqlAAAEoVcKAEAQeqUAAAShVwoAQBC5V1o9tL7+WKPqla162lGvqb+1Yl0ej+Ku19S7pIDeGuH7PSD1tO9xsrrjCtgKcq9UevSunvp7O57Bu5TU39qSy06FHZBi92angF6T3lIi++uaetr3OFnz08OBjWLtlZri5Nmxkm/NljQmtxmhtIfU32IKXP9U2FIKXHOvwj/F7o1LAd1X6mwTy37X6umSEtm6in3HlMtpmvqknlZHTbJ3Va/6pjR3P66AG8baKzUN8NZD6ZYkWesj9beYArdLKmw5Ja+xV+GTYvfGpYDuKXW2SNrvlpTLHXql7sebb+ppMSmeX0pzz+MKuEnc7uBVRnK3NJT2kPpbTjbUJRW2nPzINZSSAlpoio6ps2Xi/pXzRPYVSjvkhXUtxzelue9xBdwkjnfwVim+teuj2zLA20loKO2a+ti5V0oK6ExPqbNlNyuU9nVcATeJ2Cs9PapylF6cHlXx8+L0uJi/NbcddRIcSjulwBVDqXuK3RuWArq31Nkiaf9aUi57pSgv1+J4vPmlnlbnnM9H1bVS35Tm9uNq6fkggU1m65VWF0v1Udxq/lb9GMad8ccwUgpc/1TYUgpcWypvnxS7Ny4FdG+ps62FG/avdWDZuf5dUi57pZ5W6hlPT5KqHN+U5rbjilCKG42nHQEAEISnHQEAEIReKQAAQeiVAgAQhF4pAABB6JUCABCEXikAAEHolQIAEIReaa5raioAwE3nnRkmTdOz4+wJSBdCmZrNCaXWrKLaQ9EAAHDnna80fx6vliDGZiNCaVvqb7qkAIDOrL1SyyN2tyyU2lN/0yUFAHRn7ZUKA7xpum2h1Jr6my4pACCE2x28zWxq2xZK5dTfdEkBAEEc7+CtUn8rM7YplErokgIAAom9UjH1d2ZHQildUgBAKFuv1Jj6O/slTKXWW23Y5FBKlxQAEO4mP+1oMTbczQsAgB+edgQAQJCb3CsFAKAH9EoBAAhCrxRI0zR99uEvtnpad/sBNxq9UiBNCaUAAtArBdKUUAogAL1SIE0JpQAC0CsF0pRQCiBAl8ww5Qsuzw7c0FCazCaD4XgwnM0MLy4Ob40Hw/FgOB7ea7x4bzYYTg6fLKlei8NbppV2WL63eibDYd4aWoP0UL61nSV+63Vvz2cf/uJn//mXwUCf/vO3z9544/uDxvzspSyM1Rf448/0Od//4a/LgPfuD0/r843lW9drrKdzAzqZDQeDwWDvMOm3WGBXeecrPTsuI+jZsSH7Wt2GhtI0zU7KxlCaSYZep/h++K506ZWc3RkP7iz1hLrUTXAvPAt1P/tPJUZ++Nsf5AHv17e/p0bE3/5g8Jcf/KQMjX/8mTJ/8L033jUUpU6/vv29P/5Ae9VQvn29zXruHfb2CMzkcG8wnKWzIaEUcGTtlbbFSYdFVhVKq17mk2gv60JlAaD4c3hP6V1lL2WhtFz+VqSfN5pnYbkXVRZiLkqqrV7avZk6U1mL1i/cmy3yUsTle6pnbeGy3czl5zOH94pXq8KF+iuvukU7z/WK7WNkCqW/ePeHp4PvvfFuGcN+8scyUhYdyjKO5m8vIl8tCv5CLfP7P/x1UXI9RurvFdZrrOfeJ8admRzuDRqcYqQ5lNJfBQysvVJL6u80NWReM1lhr/TebDCc7N3JzqSLw1vlWVU7WVfdrOxUW5x5Z3dqoUU6xTfmP4n2lAgxuyONG6v1LBdYHN5So0tbXHkS7WnDm5blg+tZLmbulTZXnQyH471bs8Mnze2S6m/fBCOv9Xr2SuvxLw946lirEsDkfmczOjai70/+WHVn33jj+4PT228oxWYvCes111MIpd0RSgFnbnfwNlN/X5weOYzupqsPpdVpujprW0KpEktco1R9fjKbaDH43syrt9eMCs2Vzu6ovauOodS7nuWqvUKpGqqLN8r1t2+Ckcd6vUNpPf7lwTIPe7++/T1j39EUSvXoaOi2qgv85I/mq7Dm9Qr1HDa+t2Qt0HOvFICB4x28Wgf04vTI7ZajNF15KDWGRrdQWj/tdg2lrqphT3svKplNqnoG9Eq71dM3lDbb2Vp/+yYYua7Xs3BT/Msjlj4Y29bvNIz9/vYHWbG1kFnceaSWX3VJP5TWa67nsHWAwRehFHAm9kql1N9nx+05SlUrDqV6T6g5wJv1CJUBXq03EzDAW80xRAv9/bOJGpz0U79yx2lRTqN7pxZuWL6vepqqp22HY0iz1t9Yjp1XKLW0T43SC6w6nVkH8d0fnpouoGph71ntFqT6+O0ff1bdTGQv/7c/GLSs11hP9wZ0ZQylxfhu/6sDtpmtV2pI/a1dQBUvoqpW3istbzapDWYWMw+1wcbZYXUHUNFzatyuYr6TRS1fH7M1XCNU1O45qvcUlVUU5VT91+GsvIvKsnw/9Wy2g7V87Z6gchv3Zgux/pZ2dqlS+3rl9jFQf6aSTT/4SRHYGlMZEbXfpWRxTvoRi/ZeY7F5R7NZE/W9Qj37/F1pFi7V4WD9pf47wMC226WnHbX8uAWwEO4e2pppJY00G3LDEWCyK0870rp6y/0dJHbS2mPhNoRSAGa71CsFult7LCSUAttr8B//lTanHhFKsRXWHgsJpcD2Gnxj0uMKCKUAgN1GKAUAIAihFACAIIRSAACCEEoBAAgih1I5M8yFkvu7dQWEUgDAbrOGUiH1dxlBL06PWp9qTygFAOw271CqIpQCANBlgDfrmjLACwBA6nrbUTP1dzGbXikA4IZzvINXS/3tML9CKAUA7DYxlEqpv5X/pmfH7QlLCaUAgN1m65UaUn+naXWhlGulAADwiAYAAAIRSgEACEIoBQAgCKEUAIAghFIAAIIQSgEACEIoBQAgSG+h9JtXrxeff3n3/j9+/+f37t7/x+LzL7959TollAIAdl0/ofTlq9d//2D+8KMnT6+eP3/93dOr5w8/+uzvH8xfvnq9rlA6P4lHJy/WsmoAwI3SLTNMmj/zqJh9vvjivUefXr789vLlt5cvv1u8/Pby5bfvPfr0s4t/rSmULsajJNJnzU/icWxYVJoPAICLjvlKT49uH59WC/zh7vsfPP3ik+f//vT560+KKXn67A93319LKK13SeNFVIbM8/m4fEmaDwCAsy6hNM+tpizw8zfe+dvTr3/801+p09+efv3zN95ZRyhtdEnjZH8UFVM8PW+bDwCAM+8B3ipLjBJKf/fWw/vzyw8vrx9dXj+6vP7w8+tHl9f355e/e+vh6kOp8Srp/CTeP5hPD+rxUpoPAIAj79TfSl6YLDfMRZqm83/+668PP358df346uXHV9ePr64fX12/9fDx/J+rv1ZquEqapun0IInSND2fjw7mLvMBAHAUkPpb6ZV+df3N3Qcf3Xv/40dPPv/s2dePzi/fef/x3QcffXXd5X7gENy4CwBYMe/U3xX9YuqL61dPLq7efPvsN3969823z84vrl5cv0pX/btSc5cUAIDl6ZD6O02VYd4y3EpWGUrpkgIAVm+XHhy4GHMXLgBg5XYplAIAsAaEUgAAghBKAQAIQigFACAIoRQAgCCEUgAAghBKAQAIQigFACCIf+rvlpTgdZsTSl1TfGuZ16L9XXnM/fwk3h9FfSU5jyZV+5QNm61ifxRtwjOnoklb4rzz+YjHTPYnmqx0v/d7PFtWsSHHc2cr3i/qesuz6FJ304bwz1dqTQnetBGh1DPFt/oAQscDMc8wszGM9XH9MtEmmkT7k0VZZu2jsjmPb1xB7rxN2+/Ltq7tXerxbLc5x/MK9LZ/b16urRsSSv1SfGsfnvP5qAgb6fl81OytqjOVr2BqjMm+oJVlTg/yP4uvvUlULj8pq6od09lb9kfR/kHccowK9cmqND4pX1XKN26XpfyyQUwMpx6l/WsvSdvlsb215ZXtmh7E07jctGq/Kwvr9ZHbQe2F5xFabmd7JWv7XVrv9CDaH8XTk7Lp6vV3LMfWnqblxePQelw1G9N6PC/G5UadJC3dvmUfz2maGvevsiEbczwL+13gt18sx7PQnlJ91P6o9ha53czt778f1+imDPB6pfhWPzzTg+qQUt+eFVi+pf1bc5xoR092VGUlxIkSffNy1DrUeskuR5VUn/KMrG+juF0GtQ0xraVx6lmUlVHbU9ou3+2dHiifzDipR6PqY9loE31bpHZo9MLVqOb5Ld6036X1Tg9qZzplXT7lSO1pWd54HNq3t7nfpXKqY+B8PnIbPl3i8Wzdv8btWtfxnP/Z2O927vslFdrZ1p5SfYy9UqHdpPb33Y/r5Z3622m+YkNCqVeK7/LbnPbtqfGtTf/C6B1Km2cQefnyW3z7V1Hv+li3y6BDKNVXoXz+pe3y2d5GLzmalB/F+shz/dSjbovYDouxfMx0CKX2xlE32VZ/n3LM7Skvb1mRbyg1pKHA4AAAAftJREFUH29KezoOny7xeLbuX3MN13Q8a5vpzHW/pGlqbGd7e0r1MZ5pze0mtL/3flyzgNTftvmVDQmlXqqDL06085HnKbW/UKqofUvtoT4tp5K6tq8jjY+ulrFHvL4lbVfr9tpCab17YQulYjssOZTK5dvq71NOrQJFe4rLrzKUOsaGJR7P3qF0bcdz9vZVh1J7+3iEUqndunzuNpB36u/2lOC67Q6lWQ+1OLIttyBVZz0l+lblNAeyfEKpdkqNk33rpUp7fYzl+97jpy+/GNtvO1I/VOfz0cg8YK5ul+/26iGn+gROD2qXtFsGeKV2sGyvsZ1tTPtdWq9W/9ppzq8cc3tKy1tPteL2up+y1fpog5kyjufy7UsOpYZ2trWneyiV201q/3Xde9xNl9TflpTgTdsXSstr46YzsnrHyn7z2pV4+4N6e4U62lMNdJSjyuO4Ki07ksSVumyFct6Ryu+wCnX56tulPGBYzInHk+puLGml3ttrGjjKfgyTrS7fBc3L5I0TgUuVtF6Icb+bmfe7Zb3TA7X+5c7qUI7Yns2X7MeJaXvN+91WjrK/Rgdu98fe+OPZvt9N/PeLqZ3lTRDroy9cv9u/2W5C+3dquvXhEQ24uTb8dw4r+DHP2m34LgAcEUpx0yjfpjf4Yozy84n5uuvSv93eOtxA/x+MjTZv+9jiHAAAAABJRU5ErkJggg==" alt="" />

它是用来标识单个成员(方法或变量)或构造器的识别信息的,比如里面的那个PUBLIC常量的意思是访问修饰符为public的,不论是本类的还是继承而来的,而DECLARED的意思就是说只有在本类中显示声明的,不是继承来的,用白话说就是只有你写在Class名那个花括号里面的才算数,其它都不算数。

可以看到这个接口的继承树也很实在:

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" alt="" />

这几个类都是Member。

好了,我们已经知道了Member.DECLARED的意思是只有写在本类中的才算数,继续看getConstructor0()方法:

可以看到这个方法是使用构造器的参数类型访问类型来确定到底是选择哪一个构造器的,newInstance()方法中调用的时候传进来一个空的Class数组和Member.DECLARED的意思就是说我要找这个类的写上去的参数数量为0即没有参数的构造器(当你没有其它构造器的时候默认无参构造器会自动给你写上去的,所以也算数):

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" alt="" />

哇去下面的感觉好复杂搞得我有点晕,这个方法的基本逻辑就是获得所有的构造器然后遍历,看看能不能找到,如果找不到就抛出一个NosuchMethodException(),然后结合上上上面的图newInstance()方法:

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

一个catch到一个NosuchMethodException()就抛出一个new InstantiationException()异常,所以这个异常就是这么来的,总结起来就一句话,没找到无参构造器

为什么没找到无参构造器就要抛出异常呢?

这个是newInstance()得到无参构造器之后的逻辑(之前会进行一次判断,因为有一个缓存,如果缓存为空的话才会获得,否则的话就获取填到缓存,所以同一个Class<?>的newInstance()只会在第一次被调用的时候去获取无参构造器,之后就使用缓存了):

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" alt="" />

很明白了,因为我要用这个构造器来实例化对象啊。

为什么一定要使用这个构造器呢?

因为你丫没给我传递参数我只好使用无参构造器来实例化了....

但是newInstance()没有提供传递参数的重载,不过我们可以手动的得到所有的构造器然后使用有参数的,比如:

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

 练习2.

  会。

练习3.

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

编译都通不过,IDE还是很智能的,我猜判断依据的算法是如果它们之间有继承关系的话顺着一个往继承链顶端找必然能找到另一个,比如A、B,B继承了A,顺着A->Object to find B || B->Object find A 必然有一个是成立的。嗯,又胡乱猜测了一条,在进行类型转换前进行编译器检查,这样可以尽量的将可能的错误提前发现,然而这一条对于泛型基本没什么卵用,而只要明确的知道了两个类型就可以判定他们是不是可以进行类型转换了,大概算法如下:

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

但是这个样呢是不能判断接口的,最主要的是接口是多继承的并且接口的getSuperClass()可能会返回null,如果是多继承的话从下面往上找就是一颗颗的树了,可能会很大很大

练习4.

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05-04 06:40