- 数组名为何物?
int main()
{
int number[] = { , , , , };
int *pnumber = number;
cout << sizeof(number) << endl;
cout << sizeof(pnumber) << endl; system("pause");
return ;
}
32位系统中,指针大小是4字节,输出结果:
aaarticlea/png;base64,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" alt="" />
所以number不是指针。
但数组名又可以直接赋值给指针:
aaarticlea/png;base64,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" alt="" />
数组名不能自加自减:
aaarticlea/png;base64,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" 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数组名是一个指针常量。
(1)数组名的内涵在于其指代实体是一种数据结构,这种数据结构就是数组;
(2)数组名的外延在于其可以转换为指向其指代实体的指针,而且是一个指针常量;
(3)指向数组的指针则是另外一种变量类型(在WIN32平台下,长度为4),仅仅意味着数组的存放地址!
- C++数组做参数为什么一定要指定数组的长度?
看下面的这个例子:
#include <iostream>
using namespace std;
int max(int a[], int size);//size是数组的大小 int main()
{
int number[] = { , , , , , , , };
cout << max(number, sizeof(number) / sizeof(int)) << endl;
system("pause");
return ;
} int max(int a[], int size)
{
int max = ;
for (int i = ; i<size; i++)
{
if (a[i]>max)
max = a[i];
}
return max;
}
在定义完数组“int number[] = { 2, 45, 12, 6, 23, 98, 13, 3 };”之后,如果有一句:“cout << number[8] << endl;”并不会判断出来是越界,而是输出:
aaarticlea/png;base64,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" alt="" />
数组是一个首地址,至于后面数组在哪里结束,C++的函数传递机制并不负责。
再来看下内存:
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAegAAAAuCAIAAABs9B1GAAAH0ElEQVR4nO1dvZKjOBDmSRRsvlVXteW6zYeawA/hjBdwTgg1uUPXRA4cTzyJH2Te5JILAKkFrT9ghpb5vurgRqhRt9R89Mqor/j9+59M5eXl9c+ffyEQSC7y8vL6HVTw69ev19fj5oz0k5xWbG7rDzgJgUAkCIh7LU4DcUMgkB8SEPdanJY3cUMgkLxkc96QLPHTmDFxQyAQyD4FxA2BQCCZCYgbAoFAMpOi5qAAAAAAqQBxAwAAZAYQNwAAQGYAcQMOlM3j61ZtbQUAAFMUdV3Xb+8fnx0+3t+8xH04tdcO7engazyer9dpT9J6PR+nbX2r1TT0G/Umd9Um2F3jUDaPrw6PpvQ27kTduuolboHGr+V7EAKNX+57dYu6gUDjE1az72oiW3s9wBf0GxtvUNT15f75eb/UA4PfL07iPp41OR5Obf+fbKPB4dQOJHs8m6vHM9c6udgxMrm9zdek//k8HTuM6qbXyfBU2TxIm28yWXW2UaB6yE3Rxn+HejwEGr/U91CoSzY+Sf3RlJ5OXQeZxlso6st9yLP7zPt+qbvElubE7ekw4dPr+Tgl2TF7EjK3OXzQ8hM30bJaJ725l0YQZJm619542sisxqoH7ylE3eWmef97tbP23d2TpF+78t1PWLKNT455J0FG0f7GxvcohiS7vtw/Pz/e3++fH+9vSplMWvOlpsaOyE82X9JGNehP9zT6VkKx1r5I19mm6P6vw6ltT8dhV0ZfH/rOIW69TtXt6+vRNJPg9S8kqx68pxB1h5ux7/+sfXf19L+mJRu/1PeyeTyaanhle2JGoPHpMe+K7MDbS4bxPXri1tslF03ceu96oMOOGvXOCE10R43WCGYrxWx7DDl8f92bcRPitpSGLNyzTRNCN2v6cR2vW+g5ZtUD9xSjzrtJFSKIO1PfHT1js06Bxi/1vWwehq998yDQ+PSY5yM7uFEhw/geRX25mx8lh03u7trh1LZta+1LX619kT4hnzZaYHNiQ+cxWyXnY2eNxebno/lVdJyzR6K6kfzCWriyeYSzL1bdfU9Z6qyb0cSdt+98z+inRqDxC9XL5kFcr25ZGZ8Y83yfsgnv8YswvkdR003uIfFWykp0x3muGhHvtJHA2mqhDB/14yTZbOd3ywfM2uOmzypJPKNY26nO31OeOuemCd/ghlvWvrM9o5ddovEr+E6i30NhAo1PiHnt4ahTlJ4I43s4Pgekexl0jyL2c0D+a0CaIdPcmyFuNoMm+hOOnkfc9Lc4+trL5POgJeoON3XzrfIlXnn77uxJJ2VnvhPXA+Qh2ni/enWzQj7yXSXEeAs4gAMAAJAZQNwAAACZAcQNAACQGYqtDfgh/Pf377qytUPJ2K3jgJq1+lubDPgA4t4Lf+3WcY29+UuxW8efFSDuvfDXbh3X2Ju/FHD8yVzeC3EDIO69+UsBx5/MZRA38D1IOAX2Q9gzce8W37XWW4d3oZTjWA2LDetx2/2uV3PgfqKfguWfxOuP+q3D4vIPI3zTGRZ6dV9nWMjpjvyMn3cMZL8g4Z2w7qYrfTT6qU96DxTBgtoEG9fj5nsEGv0YnXPXh1CnjTy4I1flPsp5h3rmZ/xqvj/1ugNKqVnrTlXMQffKrhIYi8JZZVtcPW72noHGAEidAFObg20M6ruux2nPGV2guv6DSSvEG7/c9wFh5pRmfELM9/eYLjHb+Gzq3vAOr7s14LjWQhpxOwtqS6vHbd1jlXTbzFZ1m1UhtwxUMfavxsLRBarHJ24CjV/suzKPf7BIjDDjE2LekY3E10fKWd0V3lHrPtZehbjZgtqy6nEPWC3dHmZLzyf9R8uo0a1PH1q7YygcFo4uUN1SiCBuUcYv9Z3Cu/QCjU+Ief6iV+Np1IPhHfPI9ww/ejnO2ypxFNSWVY/b/DXJrJ3/M8oQqht5TQ5zxzayKJ1VjMvm2ct5u9TjiFuo8YvKeY96eKlPmvHx6lkz73cTd/ytxuoziNtVUFtcPW7fCLMquipros3bkm1kQaab/DARxdorjC5P3UxCcKdUnvFL1fnrmRifFvOT69Ehn7V6MLxjeXv6K+Yc4ua+55Nbj3u9dLuD+bWBzCTbGFC3tq8oov7ttHR0Keq6bX/lvCvz+1bw6RVnfIq6FeL2PzIjQj5rdS6849fdjELGIOoR1mvgAA4AAEBmAHEDAABkBhA3AABAZgBxp2GtUk0ohQEAwGyAuNMA4gYAYHOAuNOwT+J+egcBIC+AuIEwQNwKkwBIAohbBpI/wLc0+a9I599zDHCWwiQ8LUIHDkQin3rcDnXdPucQzvjjd7KA+lLcR/VLV342yQbLUnhVmZMDdE5ijzKsdwzEjB5/jGLe7HML5zV+TeLmB4qOpac4vxM/82FEq3Mxn0Lci3x3BO0s3zOqx82rK6WO5/Z0PLULjk8qpSgFTk+kelXWyGzn3sOnF31P4i8NYv8BXnIy2gzENrrGnBQLoCqB08ML55xduIDx6xG3a+oiY2nhzG+unjzzIcxRd8T8jIGSYp49Jj/H94zqcfPqHW8f1GEhc5NJi69ZM1Ed9GNzQesdzKT7gSJzFoaejnvGOWDHs5+3aVGiWWWdibe3So2eIP/wjhifViDwwb5JyPjViNs3UMSzu3Dmt1Vn3UxRZx6uWVFnP+9dacRQ0rvUd25x5z0ySv0PAKtnfNvaDyUAAAAASUVORK5CYII=" alt="" />
所谓数组只是把数据按序存放在内存中,程序只是根据数组的首地址向后依次取出数据,而当你大于数组长度时,程序自己也并不知道,而是依旧把后边的地址中的内容(“cccccccc”)当做数据取出。
当数组作为参数传递到子函数中去时,仅仅会被子函数解析为一个地址:
aaarticlea/png;base64,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" alt="" />
如果输出a的值,就是:
aaarticlea/png;base64,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" alt="" />
令举一例:
#include <iostream>
using namespace std; void testArrayArg(int a[])
{
cout << endl; cout << "in func..." << endl;
cout << "array address: " << a << endl;
cout << "array size: " << sizeof(a) << endl;
cout << "array element count: " << sizeof(a) / sizeof(a[]) << endl; cout << "changing the 4th element's value to 10." << endl;
a[] = ;//以0x0042F980为首地址,修改第三个数据的值
} int main()
{
int number[] = { , , , , }; cout << "in main..." << endl;
cout << "array address: " << number << endl;
cout << "array size: " << sizeof(number) << endl;
cout << "array element count: " << sizeof(number) / sizeof(number[]) << endl; testArrayArg(number); cout << endl << "the 4th element's value: " << number[] << endl;
system("pause");
return ;
}
输出结果:
aaarticlea/png;base64,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" alt="" />
其实,修改a[3]的值,number[3]的值也随之改变,因为数组a和数组number都是以相同地址为首地址,修改的是同一地址中的内容,number被解析为数组,a被解析为指针,但二者都可以向后依次解析数据。
而且就子函数func输出的数据而言,a只被解析为一个元素,大小4字节,即数组number传递到a时,a只是一个指针,一个指针并不知道从自身开始往后有多少个数据。因此,如果在接受数组参数的函数中访问数组的各个元素,需在定义数组的域范围将数组大小作为另一辅助参数传递,以免以指针作为数组使用时访问越界。
我们得出结论:数组做参数时,退化为指针,以数组作为参数时,要同时传入数组大小,否则只知道这个数组的起始地址而不知道它的长度。即这里max(int a[], int size)等价于max(int*a, int size)也等价于max(int a[10], int size),反正只是传递进去一个指针,不必在意如何“修饰”a。
参考:http://www.cnblogs.com/viviwind/archive/2012/08/16/2642535.html,这里边对多维数组也进行了简单说明。
- 将数组作为参数时声明为数组的引用:
前面我们讨论了,当数组作为参数传递给子函数时,数组退化为指针,子函数不知道传递给他的数组的长度,编译器也不知道,编译器对参数类型进行检查时,也不会检查数组的长度。但当参数是一个数组类型的引用时,无论是声明还是定义都必须指明参数数组的大小,否则会提示错误:
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EKnz5Uyx7tV55u6OW6HOOmOQZp2xRW+MX+0+pRc143CdLOAMpwgFf73JPnXUde0jZzid68merb14dPZtQTAirJVXNBIsTuLudorj8JjHxqzppfM26aIyJbmFYuyO1SrUxEtNAqya0p/mlOzDw9qZztzxARPXyg2YevubOTB49o5ulJ5dXGxKcbX77amDBdPnf31cmXm3Pmy2nmqVpIj/YrZy/vfkrqa01/PWjOGNazje5x6fL/qsF+AytN5Wdp1VxPvTntJqH9Vm+vHb5dW3nyXGmV6pFAmGsv7gXuBTO6nHvynNMXDu4j+1fXQzu7v5zzv9cBas4SylFiNKepLddYDKI5q9EcNbc/o2uL0ZxutInNl5WnD02h3NlJ5YzRnB7ZMUQTzXX/zypYKGeEJHwrzT15HihCdLxhwHbeXjs07NZDZOdUe6BWzRnaXWOjOeUrXWkGtlK4gXCQy2ercvgTajZ8aM6cgkkBmguiuYcP9KiNJXzNdRnN+d9hHFRG5qkG7v/wb68dBnQK57caXJq31w6Zhq00g/SpXWvvrVOsj9OxA3ZU3HsXrO/vMmjQY+fd1+WRzUF4a2608sYSylGyNUdTNXWozhUnzSkh2MTmS3UczVtzpj4vx2gDjeaIyO8/N8dfb3cRIf+nZQ1Jurin9Ya9tZO5m8W8/prkYVjLOFr3X50aabJtC9RO/YaO0VzwdvodLnQamwvdfX7yzXGeehMzzRXyB+zEgiI7R80pS0/8TEHYNKeMxCmzCnefemjO2jnVbqWVc8bjWGKmOWOdhHoYPw8lePT7I3AYm7P8KnzdUxsJYpvUezuZO5gU4Odyfu1MO4P8mca3ZLN50HZyv7pe2+l8uQMczXX3b8kvAi0PFo2Yac7j+tD/ZcbwnjFsUqLvyZ36mq3K0UdzDkBz/Sd+y4OdLg27lxHDe8awSYm+JxHZ/+/at4qgufgS6WYvpP8DURKnzV7OQHMAgKQAzQEABAeaAwAIDjQHABAcaC6RhJfaoedMKqFP+4bIZPaintkiIqItKdWppzr11Pn8gBsFosdLc2zKuRhnKOkZbT9WEgj16Y+9J4zqz5KqUGA0R0REV+QNaO4y4q655evPGqPGazHyzXHpWnNc10Tx+NmQ6whBc90uL47uq4PmABF5aS5/befN+GqeiOheY2JnfUT7IIaae7Svb65iN2lZkrs5ZVLiJA5xYWWXs3KNW8iyVExfFLPn9VRnIytLRgdK708ZXar5DNO9Gj6vpy6KV/RazJUMPC8eUTeSCvbVESnOsnQ8h8/rGbmYVgr1r4g9s+Opuf5k/gGxwt/W/WfW3ftx09yjfS25m46R5c0h4xuzU7WbaC7473SpmO7UM1uatpaKaeOXqcBGH/MZ5Se6JTE/YE7cNPC8eETk03PBvzrFaFvG67Q8qbxIdaRh9utSClWX+YnmoLlLgHc0pwhutPImxtGc8VPU0XbUq2g/y940N1uV7T8JbiGPpWK6Iw3rv1JDc/OZDi/6WFLiFOVnrGKfexh4Xjy9Ya6y6u2rMwdoqY6hOe3r0o02n+lsZJcshSrotF5SXDU3vT5uGpuL7SNvotIckcP//X2FBA6a02MT689yqZi+2EgPQHPd5cXTG+YZkwX/6kzyMoDmgC88NadNO5gzMsVMcxObL/13Wq0J4xQe7TMjU14EHpvjaG4ye6Fpbktiojn153pF3vDstA42Lx4RdTE4F7TjynRFTYU2zRnf5xV5w+/YXGyXxIBQ8BibG1lt2p9eSLHTHGm/Z/PouDayzs4q2BPGqRg9Ne8pCAo0XejUadWnIC6K2XM9JDGFeB5TEAPNi+f9h/f+1enfg9ppVeM1nub0zn49dT6vn6AozzbVQ/1KcAZiBZYHJ40oFq10S3QP3OwDfUlwBmIFNJc8LKL7w8cf/dsnt85yk6NXr0ZfQnFeHuxF/xKcgVgBzSUSfSbi1s9H/vlvbo5evfry1off3/qQiPY/uhFZiakpAMQVaC7ZzH8wemNkhIhGr149zU3+0/TNf//kVjQl+dGfD/APB8A/0BwAQHCgOQCA4EBzAADBgebChB2OL0i19uHjMt1pHe6dSlOu14UPv/Y454YDoG/4zzen7/oiElBzIWwDsi5ou/+4ffi4TFONbwegOafak7v4A4DA+N7TGvtETL3Rs+bsq3bvP25/u1ygqca3e637PTavexxrT/RSXgCC4Kq5ew0m/1K802oyO4GUfVFLxTSz2ZvZGco9k5P9gpPgzClhHPmVx53W4eOGVGsf7rWZvmS5tqeUtA91Jd1pHT4uKy9zy6em13uWy9lCPz7lbKNAMiIgNF6a06K5kdXmRIw1tyVx93VzMn/wziReNMdJcOacMM5niHSndbjXrt0hUtxUa+TMnxtG42uuXLOLjDmT7rTs97Rj9xw0B4TG79b98dX1OEdzvNRsRkJKNoEl90yO5ngJzhwTxvndCsAqielO3n+sR3NtV80VlEhQEaXx6R5zuQ/Nod8KLhm+Z1pNuedipzkVJT+lrrDJ7MVGdskUlzmcadccL8FZfzTHhGBe0ZyKokVFduoYXFdAc+By4VNzzEMhiCi2miNrJsUtKS0XM7bYjXtmypyynJPgzFVzPjutmrDUmVBT77VcY6M5pXCq8a1eyGASYpdTHA6dVpgPiIqPJOm2ZHMUO82ZsolZgzJTifOZRi+VMwWhRHbOmvM/BcHpXepTEKfScsvSPzUVKsqzzTaw/VYfkR1nCgI514DQiL48mJ9cuw/4SgPHdloHBVfIyLkGREZszXEza/cLH6IbvObsy4ORcw0Ij7CaUzKPW58Q2Ge8ZiIGrTnkhgOXEmE1BwAACtAcAEBwoDkAgOBAcwAAwYHmAACCw2pOXQxsWgk8vT6u5pszNrRSsjVXyB+0Cwv9r+f22uG718fvXh+/e1693f/qAAAO6JpT8izlr+2wmlu+rlsvEXtafRGN5op7717vSUSk+G4b6zgAGBSWTqtZc0wqTSVVif5R3DQ3VWsXpMai3C7J7ZLcUjOx5fQS1Wtj0mlJKynJ7ZJ8ms8RUblgukR9zbtnuSC38tpNFiXnjVXS9vHbtTkiIpp78vxYVx4h6xEAUeOmuZHVppJWc7TyZmJn/VrF2L0fQ82VDhpj2uvCApnkReWCajTiRXOOmuPds12qlYmIFlqGT23MPXl+3CwS0Urz9fHbtWrz9eGTGfUzaA6AaPHW3GjljS67OGvO2g9lQjkmcKOuNGfr2/LPtKNobqX5WpedoTkAQLR4dVqf6WozfZQAzS209FjMTBSaI2n7+J2utpnqW6bTCgCIFlfNsc9/YBKmUyI0R+WCzJ9qmKpZhtX0Lm0hf2AM7fWkOSru6ROs0vYxOwWB5G4ARAs70/pmgjmYCdYELCjhKcncb2UjO6Nc7cmOGbMKjUI4mnNeUILkbgBEC5YHRw+SuwEQKdBcpCC5GwDRA80BAAQHmgMACA40BwAQHGgOACA40BwAQHAGoDllthELxwAA0eCVb45f2Hs05/Mx9QAA0Cue+ebshURhdFrxLD0AQDS472l1LITmAABJYZCaQ68VABABA9McqXMRcB0AoL8gmgMACA7G5gAAguOeb84hCR00BwBIDgPbBQHNAQCiYVCaw9AcACAisNkLACA4fdecTg+NBACA4PRXcwAAMHCgOQCA4EBzAADBgeYAAILjlW+ut8dRAwDAwHHPN5e/ttMYJSKikdXmxM76iPYBNAcASAp+9rQSEdG9xsQzVXkEzQEAkoNfzY2sNicqy/pbaA4AkBT8ac4cyhE0BwBIDt6aG1ltWhxH0BwAIDl4aI7rOILmAADJwTXfnLGaJGC+OQAAGDhYHgwAEBxoDgAgONAcAEBwoDkAgOBAcwAAwYHmAACCA80BAAQHmgMACI5HvrnRir42GPnmAACJxD3fnAHyzQEAEgoSMQEABMdTc9peVyaUI2gOAJAckD0YACA4vjWnDt6pb6A5AEBS6CaawxQEACCBuOabYwsxNgcASCZYHgwAEBxoDgAgONAcAEBwoDkAgOBAcwAAwYHmAACCA80BAARnQJrLNRbldmEhWOV9ZGX3aHeFed+3dpoqmq3KR0dHR0fmunnMVmW5OsspPbLeYGVXLWLP518OgOB45JtTGFltWsqdNPePzpju6FcfhfxBdDacrcpW0fSnneaK9Hcru0feElrZtdvQ2V62T3iXAyA4PvLN3WtM7DSu7/jVHLcap3IvItQcR3L+6aad1op0Fflsgd2GXWjOp0wBEAk/iZg4+utFc1O1dklul0xRUrkgt/LSqVK+KBWIaEx7qx2n+Rz/b1gqpi+K2fN6qrORlaVUp546nyci2pJSnbp6KCU0nzFe0/B5PXVRvKK8sf/6Q2+nU0VqhGUOtB7tV85O1OPpQ9MdbDrsSnO9+RyABOKhudHKm/HVvL2852jOEv6UC3K7VCsTES20SnJrin8an6ViulPPbGnaWiqmdXmpTGYv6pkt5fV8plPPbBFtSSnmNKcYJ8x2Olakjq05uGfu7quTB4+s53PjQRvcT+A5cMlw1dy9hpYxuDvN/acZ8qU5TRm5xmIAzUnDRMPn9bQ8SYbm5jN6NNfRNadqMdWRhpl7WOce+tFOfkWzVflIrlZ3j7SQTv344QM9mjuzaM7qyi41h34ruGS4aE6dkTAdO+vKZ32I5kLXnPqWyBzNKZ3cjXRMNKcrZ7YqHx3JsqqlmacnX27OEREvmoPmAOgGn/nmIui0cvVBUzV1CMwFvuYmsxea5rYkJpqbz3Q2skt0Rd4I1mkN3k5uRWwPcmVXW/8xd/eVprlH+7ZoDp1WALrBPd+cToiaK+QP2AF7RSKO+lCWdHhOQXA7rfoUxEUxe65obj7TMYV4LlMQ4bfToSJj1dvRbrUqq6bTpyBebdx9atYcpiAA6IqQlwf7XTcXQyL79fdaERaUANAd2OxlYPHPHz7+6N8+uXWWmxy9erWrks8++HlXFXUFlgcD0C391VwCgjgz+gTBrZ+P/PPf3By9evXlrQ+/v/UhEe1/dMNnydVuKgrYPhO+N3sFrBWAZAPN8Zn/YPTGyAgRjV69epqb/Kfpm//+yS3/JQCA+ADNAQAEB5oDAAgONAcAEJyBaU4dIseIOACgz7jnmzPv91L3txL1rjksUQUARIV7vjmnvV89aw5rVAEAUeG+pxWaAwAkHm/NaZ3W5rVp47wQNBf7Put/zcxctmPQXzkAfcFnhhLlcRCNUe1tD5pb2U3IzMPApQPNARAKfjVH0+vjTEDXYzSXiBmIgUsHmgMgFPxqbrTyZmJnXd/HhLE5AEBScM83x4zNMY4jaA4AkBwGtDwYmgMARMWANJeIwTkAgBAMbLOX+0P7AAAgLLB1HwAgONAcAEBwoDkAgOBAcwAAwRFIc7nGosw+OhoAAIi88s0REdG9hn2FcJI1V8gfJMGGt9cO370+fvf6+N3z6u1BNwaAJOOeb45GVpuW/Q8KcdScXxKhueLeu9d7EhEpvtvGuhsAAuO+p1VxH+eyuGluqtYuye2SKZorF+RWXjpVyhelAhGNaW+14zSf499wqZi+KGbP66nORlaWUp166nyeiGhLSnXq6qGU0HzGeE3D5/XURfFKr3+PtH38dm2OiIjmnjw/1pVHCcrwAkBccNXc9Pr4zvroalPptI6v5vXz4qY5IrKFaeWC3C7VykREC62S3Jrin8ZnqZju1DNbmraWimmrvCazF/XMlvJ6PtOpZ7aItiRXxxmPjbY9PdrM3JPnx80iEa00Xx+/Xas2Xx8+0dKHQHMAdImX5gy7mSK7hGhOU1uusRhAc9Iw0fB5PS1PkqG5+YwezXV0zalaTHWk4VD+EkVzK83XuuwMzQEAusQ7mtMH5kYrxkeXVXPqWyJzNKd0cjfSHprzHc2RtH38TlfbTPUt02kFAHSJ72dBhJpWsz/41BxN1dShOhf4mpvMXmia25KYaG4+09nILtEVeSOMgTkiouKePsEqbR+zUxAru0dHSO8CQPpAlR8AAApISURBVBe455tT+62mEiKKneYK+QN2YkGRnaPmlKUnnlMQ3E6rPgVxUcyeK5qbz3RMIV5IpnNaUKKEhBicA8A3Ai0PvizMVmVEcwB0ATSXJJRIDo4DoCugOQCA4EBzAADBCai5324Pdf4jpR+/3R7ingbNAQAGDjQHABAcaA4AIDgiac5YPee5+rcrVnbNy9T6kdhu7u6rk8rTh6Hes0cia1IvFc1WZUw8Ay9c883pmeZsK4TjqLmFVumgMRb2XTmPWuxHYrvQndJ7ujqfTZK2j9WK1B24/arIgZVdLJYGHnjkm2Mwbd2PoebGpFM1H0mI9PQ82QEmtutvujrmWynuGTdnNqiFgDWGdi1ERAfccN/TajCy2pyoLOtvY6U5WxY5do+XNQ/dVK1dkPRyZgcYD/sPKPTEdkT0aL9ydlI5CzGa6zldnUuTVnbZBcoz1bdaigGm0jAq8q85PNwceOBTc9b8mrHSnII1mss1FnW5MK+nam29bztVc4+2nMKEMBPbaUxsvvTSXNTp6uxNMitOL23yeqw9VURdaQ6eA+740pwllKMkaM7yVjeal9pYHH5UoWZ80vChOd+ElK7O3KTZqszR1kz17WtWqXMUAFNFNpkfydVZbiFzB/RbgRs+NGdOwaQAzQ1Ac1Gnq+NHc6ZaTQN/zIBgrxVRd9EcNAdc8dbcaOWNJZSjJGjOpdPajeZ8dlqDJ7bTCDOaCyldHb9Jpo7r7bVDvSL2dQgVodMKQsNPvjnOU28SoDlSRsqsMwDdaM7uufAT2yk/cmUYPsyJiJ7S1Xk0ibWKMsWhHKZQrteKMAUBQkOk5cF9QMAfUGTp6iKrCD1W4AE054FIoossXV2UefGwPBh4As154zTuDQYP/tsAH0BzAADBQVpNAIDgQHMAAMGB5gAAgiOU5lZ23TcHAAAuI6755sicco7ZCxFHzYm09AMAEB7u+eaWrz9rjJpOUN/EUXNYJQoA4OG+pzV/befN+GqeiOheY2JnfUT7AJoDACQFf1v3n1l378dUc+izAgBseEdziuBGK29iHM11kcIRAHDZcNXc9Pq4aWzO+ChmmiPCDAQAwAFPzWnTDuaMTDHUHMbmAABcPPLNjaw27U8vJGgOAJAcBFoeDM0BAHgIpDkMzgEAeAikOf2ZMHAdAIBBKM0BAIAdaA4AIDjQHABAcKA5AIDgQHOu5BqLsv25rsbTWv08bdrHXlt17sQ6fTJ395XlGalqRr3+PzVrtipjdQ4QBf/55vRdX0SXXHMLrdJBY8zfDfytcnGQil1zrqeHCx4MCITBNd8cu6c1/omYomJMOi3Vyr5O9buUr0tvmU/vm/Sw3hoIguue1nsNJv9S7NNqhs1UTe2Z6tHcmHSqlGhHa8r1DnZPPNqvnJ2oBxOmcUyln+knmlvZNXVjl4rpi2L2vJ7qbGRlKdWpp87niYi2pFSnrh5KCc1njNc0fF5PXRSvsPUgoAMC4KU5LZobWW1OXDLNEZEyDGfptPqO5lyjobm7r04ePFLfOAVkE5sv/XZaZ6uy3slcKqY79cyWpq2lYpqVFxHRZPaintlSXs9nOvXMFtGWlLKeBs8BIfBIq6lv3R9fXb9s0RwR9aw5myMePtCjubNQNadWeCRXZ2mpmO5Iw0TD5/W0PEmG5uYzejTX0TWnajHVkYZ5d0S/FSQe7+zBKqbcc9BcMM3NPD35cnOOiPofzXE0p74lMkdzSid3Iw3NAVHxqTnmoRBEBM0F67TO3X2lae7RfpjRnH1sjqO5yeyFprktiYnm5jOdjewSXZE30GkFYuKeb05dYmJdZXIpNGcsjuNMRPibaXWZgni1cfepm+YmNl9WmO6tWXZeM61OnVZ9CuKimD1XNDef6ZhCPExBAAHB8uB+EsmCkr6BHisQBGiuv/S0PDik04OB5cFAGKC5vhN8sxf3XtFs9sLTIIFAQHMAAMGB5gAAggPNAQAEB5oDAAgONAfil+0OgFBhNDe9Pq6uDTb2rvILoTmhiGO2OwBCRNdc/toOk4xETS23fF3f/3BJ97ReBuK4ag+AEOF1WvX8S0wqTSVVib7lC5oLQFhp4ALTp2x3SmcWy+xAbOFobmS1qWTT1F+MVt5M7Kxfqxi796G5AISWBo7FGFjzt8BYIdz8KNAciDc2zVlSaVaWRytvdNlBc70QXhq4oPQ12x0AccWkuZHVpunRNvcaE890tZlyNEFzAQgvDRxDF9FcH7PdARBnDM1ZHUdkev4DE+URNBeI0NLABaNv2e6UTivUB2KLpjlj4Yg5wRwWlIRHWGngAtOPbHdqCQbnQIzB8mDQ+4KS2aqMaA7EF2gO9PqUWPRYQcyB5kD8st0BECrQHABAcKA5AIDgQHMAAMGB5gAAgiOI5tRRdCzdAgDY8Mo3pz2ROgmPo8ZzRQEAHDzzzTWvTZt2syrEUnN46h4AgINrvjkVaA4AkGDc8s1pJElz6LUCACy45ZvTSIzmSJ2LgOsAAAau+eZUEqM5RHMAADvu+eYUkqQ5jM0BACy455tbvs5NQgfNAQCSgyDLgxWgOQCAHZE0h6E5AAAHQTSHzV4AACcE0RwAADgBzQEABAeaAwAIDjQHABAcaA4AIDhe+eYEfBx1IX/QLiwMuhUAgKhwzzfHLSSC5gAAycFPvjlOYdw0N1VrF6TGotwuye2S3JpSSnN6ieq1Mem0pJWU5HZJPs3niKhcMF2ivubds1yQW3ntJotSwak9S8X0RTF7Xk91NrKylOrUU+fzRERbUqpTVw+lhOYzxmsaPq+nLopX1Lus7GItIAC94yffHKcwhporHTTGtNeFBTLJi8oF1WjEi+YcNce7Z7tUKxMRLbQMn9pYKqY79cyWpq2lYtqQl8Jk9qKe2VJez2c69cwW0ZaUMp0GzQEQBn7yzXEKY6g5az+UCeWYwI260pytb8s/085SMd2RhomGz+tpeZIMzc1n9Giuo2tO1WKqIw0H+NsBAO5455vjFiZAcwstPRYzM0DNqW+JzNGc0sndSENzAPQDj3xzTknoEqA5Khdk/lTDVM0yrKZ3aQv5A2NoL3zNTWYvNM1tSUw0N5/pbGSX6Iq8wem0IhsBAD3imm+On4SOKBmaM/db2cjOKFd7smPGrEKj0M9Oqz4FcVHMniuam890TCEeYzolIQEG5wDoDSwPjjOzVRnRHAC9As3FFCWSg+MA6B1oDgAgONAcAEBwoDkAgOBAcwAAwYHmAACCMwDN4fE0AIAo8cg3N1rR1waHm28ODxsEAESEe745g9DzzeHR0QCAaPCbby70REzQHAAgGjzzzS1fVzqt5vguFM2h1woAiAB/+eZs5aHMtM5WZWxnAgD0G+98cxrL15lZCERzAICk4JFvzuBeA1MQAIAk4ppvTh+Y68/YHDQHAIiAge2CgOYAANEwKM1haA4AEBHY7AUAEJy+a06nh0YCAEBwAmoOAACSAjQHABAcaA4AIDjQHABAcKA5AIDgQHMAAMGB5gAAggPNAQAEB5oDAAgONAcAEJz/BmEhrUANhSu5AAAAAElFTkSuQmCC" 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" alt="" />
同样,如果你企图传入一个大小并不为8的数组时,也会提示错误:
aaarticlea/png;base64,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" alt="" />
我们使用数组的引用作为参数的目的,就是避免数组作为参数传递给子函数时会退化为指针。
修改一下上一例子:
#include <iostream>
using namespace std; void testArrayArg1(int a[])
{
cout << endl; cout << "in func1..." << endl;
cout << "array address: " << a << endl;
cout << "array size: " << sizeof(a) << endl;
cout << "array element count: " << sizeof(a) / sizeof(a[]) << endl;
} void testArrayArg2(int (&a)[])
{
cout << endl; cout << "in func2..." << endl;
cout << "array address: " << a << endl;
cout << "array size: " << sizeof(a) << endl;
cout << "array element count: " << sizeof(a) / sizeof(a[]) << endl; } int main()
{
int number[] = { , , , , }; cout << "in main..." << endl;
cout << "array address: " << number << endl;
cout << "array size: " << sizeof(number) << endl;
cout << "array element count: " << sizeof(number) / sizeof(number[]) << endl; testArrayArg1(number);
testArrayArg2(number); system("pause");
return ;
}
运行后我们发现,main函数和func2的结果是相同的:
aaarticlea/png;base64,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" alt="" />
func1中的a被解释为指针:
aaarticlea/png;base64,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" alt="" />
而func2中的a仍旧被解析为数组:
aaarticlea/png;base64,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" alt="" />
参考:http://blog.csdn.net/jiangxinyu/article/details/7767065
- 数组名和数组的地址:
int main()
{
int number[] = { , , , , };
cout << number << endl;
cout << &number << endl;
cout << number + << endl;
cout << &number + << endl;
system("pause");
return ;
}
运行结果:
aaarticlea/png;base64,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" alt="" />
a是数组名,代表数组第一个元素的地址;&a是整个数组的地址。二者输出的值是相同的,都是0x0032FB88,但是二者并不同,前者是从一个元素的角度来看的,而后者是从整个数组的角度来看的。所以a+1仅仅是加了一个元素的大小,而&a+1加了一个数组的大小。其实,&a+1、&a+2这种形式更常见于对二维数组的操作,因为二维数组就是数据成员是数组的数组,所以对其中一个元素的操作就是对一个数组的操作。
- 如何给字符数组赋值?
字符串可以直接赋值,然而字符数组不能这样直接赋值:
aaarticlea/png;base64,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" alt="" />
原因就是因为数组名是一个指针常量,已经指向了一个已开辟30字节的栈空间,又让它指向字符串,因此会报错:aaarticlea/png;base64,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" alt="" />
在C中我们曾这样使用:
aaarticlea/png;base64,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" alt="" />
但是考虑到安全性,现在都建议使用strcpy_s:
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAvoAAAAuCAIAAADWTSqSAAANO0lEQVR4nO2dP67rthLGzyKyhZs6ZTqlcpcV5DVqDDwgfVoBXocAbyOCkV3IO0hzX4BEKdIEwX2FJGpmOMM/kmzRznfwK87RkcghORx9Jmnyo6pOnz59ncWKR1Y/BQAAAACwkQ/IHQAAAAC8Nx9VdQIAAAAAeGMgdwAA4GX4+9tvS+bw+gHAAnIHAABehsMFDeQOeFGk3PnL+DncUAAAAIcLGsgd8KIscmeUNX/+8vPnH77/9asPx+cfvv/zl58hegAA4HDKFBZlWgUAZZI7o5r533//Q4UO5beffoTiAQCAYylTWJRpFQCURe789tOPv3718fm7bz5/9w0b3ZmvjIrncIvBrly64d7W/GJ97f2LOue2H4Zh6Jqd7MnI+mgipp7bXq2WSzfcmsPMtqw6zJg9nWc1VlM2t6G/1s/PN0iZwoJZdUgvfnRjiVyyy7h3QHhOeRN5kbj9UVWncQ5rVDb//PH7P3/87hSPuDLOain1XkLM0rl0w/zTXbwWGvr2TP8chmGgzaZenIs8DMMQ8lRNSTy8sGaOzVIRtEI2yZ26vcta3ciLdJsEUyF3ImxwHrtTrwNyZzOFyx0j+m3IBXKH8iJxe5I743qdUdx8+fJl1Dfiz3EdD5c757Yfhv7WFRNDGUKHNbdF3FTntr/3vZM7l87dubiRejHdzwJ+/KC3TkrPEfds0mRNR/Tiegp6B+8H5E6Elc4T6tR7U9QbZSYmd45p4m0ibA+bkxprc+9b7xLvJ3cKCiaJTHKHTl05iSO0zog2n1VmsYlY8ajbe9+el4DLXOfc9ve2Ni4uv6QYALmTQpn+86BCQe5MrHKeUKfen+PfKAqQOxsaC3JnRwoKJolIuUMVj6919pM7y3D0HPLGRC7dMAz9tZZ/skfIFJJ/W4I31Ne+v9Y04EplM3SNcbG+9v217bjxsaG8ur0Ty0lBYiXt2zMr4+DWOpzbnrwtRGFD9mhyp53n5sYB3vraz/dwy1lSZHz41pBHyOMscfJuowW8stqg6egtbqWpe1eCq7CarNs7GaymFe6lIIts38yu0/r3e4Eoxb1tppQnhxQ3y3yDXhGyKmZMTvsqPuPVD3OeeFUkdOocb5EWml5HXSUasqLVFcg32lPubTuVXQiLZ8cWPab5k1npHiJsNpxB6WKBxrLwtYXqNgHXGkh8sIPkQwLCWue0zAjUtn9Rloi32j5xO6fvpAcNwiFyh44ouGfHdYvs5SQKxnrg9C9xG8GMjIu1i9yprz2dtxpmZeNfpGPpTlWE5Q5zBb/GgiX1b3BlJwVsOl7/eXKHqhxXHP81oMArUH0deokbBSRVujyrtbiapijgalch3tiRuUs1hcXUhJuZ/eRNIHuBLMhk2Ch0pBjV8g14RcSqoDHp7at6u1I/dHQnWhV+SyU2epqFvEQu96ajr4RoyIpVVyxftaewKOHLnefHFr+A1akKyZ00D+np61+rasWFrMYKoEQ/zW2kaym5hILkAwPCSuc0w6D6rOYnRon2i9uZfSc9aBCOmMxa1vlSaSYS4X/KMMcaVc868KFkXqTGhtOdVf217eZ69C/yZNMG5EcRShtYhiS7pH4ZqVO6sJg+HBqYzJrn6US0Ci5/jskdL/FwAd2zZotraYbaPcFVXJq8U3mfJ3gKWTcz++cCKr1Asyr0u59v2CsMq6LGpLev4TP+hzM2thqpikDvCDd6moWW17k/k0JWSnUZ+ab0lEYd3Tkqtsh8Q6M7cQ8hZtjOIF3IaqwQvDim29iuxZYqh4Lk/gFhk3MaYVB9Nm08b+e4ndt30oMGYeNSZdtLAui1mSt33Eqa2DvMy0X+yCX6ag+fL84TYeP1nPUHY9a+2atD0rQCKfMbLllyx7ec8Vy542JlrtyJuspUkLE+ZzP8ohlyJ+VmNbpFonNM7uj5hr3CljthYzLkjuczhp3GVHLUe1O+QpXiLcLCmNyJh6xoddn5rpc7XppPjS1LvjlyJ2izWtWqCz1E7sTiiSJ3Eh1+c0DY5Jy23PGf9S9GS7Q9buf2nVVLl/b4Inqu3JGDcmFvWB7RppNDWdftXehBIU1UsRK7eF4mtpMns1oZfeyQxCrn0s463QWdur2z+ZT+1vmuk7t2x5I7iuVGtZAciYXmZzu/gPFBUX3kNmEyK8FVZE2SvkSKY8gd+2at1ejYtd8LREGCckfP1/aKiFVBY9Lb1/cZw04+meXlbviw0alzvMW3UJ/MOrv5o7SQFauuSL7hnrIYI4TFs2PL/F+Rb4bcidisVbXuQkZjZU7lx1YpBXIxmvWBASHPObXsAi7hnvX8JBoPd4jbmX0nXl0KyzaD45bKmdsMysGSVNFjruRiKfPULvb6UzsjOuTlfUwRIsYbE1MvMktIY9vtRxdmMv+jywnVyiFe1ek7/egz1nvJHc1yowKXoc6+u0U+28kCktpIXPIW6TYrXIVFB9b0S3EMuRO4WWk1Uv/66ku1adTf1Xxtrwj7UsSYjPb1fEa3k32u8HMP+LDeqTO8RVpIvW5JfFkdbNRP9LOWUmQj32hPMZcqPzu20P+SfLNGd4I2m1WtuLraWBnRz3Iby99ELlaQfFBAyHdOJbuAS4jgJv3Er/+tcdtYG5rUd1Kqy4MdIjFurIxDJAojPgtztIWgLOAVb0hoMms1u8WWMjc//BeTO+VyBM1t511qY+CI0PJJWyIAwAi84k04tz37xDyKjyfJHfPzuv5hGnKnMF5A7tTt/ckWfoi//zJ+Dq+afzHmupn0QTzwLwFe8VaQ4Xo30PIEubPCiyB3CuMF5M7zkXIHAABAsZQpLMq0CgAK5A4AALwMZQqLMq0CgAK5AwAAL0OZwqJMqwCgQO4AAMDLUKawKNMqACiQOwAIyA7aG46LN7cADuSYyrQNxg5LETeeq8wOeMLXwZ6BExZlcnj9AGBRjtwh33X0Nmua9jKqThU7S9nbd8hI0N+riu+ApObuvauW4yN0w4LpO+jW6TPKeebuJ3ReFS34cpS38qfYQy9aBN08t/uT2wg1UhCWi17bsRd2+p37umLRcifz2JAgkDuvxuGCBnIHvChlyB16zHjlNoZnX6UTb/dYeBX7bQc3fddzj8gdzbCU7/7Nm11ap700N+8QQXuHTVumyC1r+7t/+IhZBNs8sQ91qCDS8kunbHlOdxZJbMQnsNeb+1FyZ89dBCNyJ/3rrJA7T+JwQQO5A16UEuQOO/yC4B1mli53+EGeeoKR3FPlDjEsWe405OCtShws4qXQ3PSBIjb2cOmGW9dRcbAYP57213Q05XARLPM8uWPeGdy+LHE4If3OnYHccUDuAADehALkjhlw5Vl33sFViQMDaoLR3BPlDjUsXe7wwY/I2bbWW5Nk19yG7rLMcbAdUc/aAcuxIqjmKXLHuDOkVCx9mX7nMsNFXEK9qD8lT3Jpb/xBOplFjv6Rt0UzZU+ppzvJHKdaDU3hkcnc5Uw+r1wkHePUQ20qUxhGbrMOM2JVxE/SkTOYAABwJKXLnflHPfg6GEyn09T84+NdwL4Ec09cu0Pv0dLXCjW+KpbjXiNyx1RRTt9MIzfOQjoSZp5JaxbBNE+VO9GCeAeCak2T3oiyFPPpuP5F0Zp8FIpqhUUj8mUo/Jhf7bZ4pmlPMbnDK0qpJXGWuFYuno5nFZvHNNxDOV67o1OufhWJKwAAUBCly50x1HoLd06Jg+fTB83AZNO20R1uWM7ozvz70F0S5I4xJzKZ5G6YfqGTHcbvKUXwzDNSSCuIbC/eNMmNSE/DduMQ6sVQK1s6KSB3vNuimWY8JUZ3VG9ZWFrBLJftio2x3Eo3TKYjR26U0Z1xTGjLEm8AANifAuROymSNMq+RvlbAPWt9BI/mfqoqa2GKWE6bJXfmmaBu1dodVwlk5qjpxvU0dE2P+PFfq3YRpHmW3FELImpVba/8iS1VEUa/XqTIAnWsJVPuRJYWpT+1o9xxwjdf7oRHFutr7ySdqxltMss9CNEDACiHEuTO+JGRREbtm1nii9bxpcpsqUToHWDkTuZopkT0Nz0xLF/uuI/Lc9GkMYFvZlWnatQ33Y1NZ3S3rvcmHUgpfOUXKIIwz5Q70YJQDeE3jfqVb70RxVzMMqLgXaR4kz76DE6O3EnKNPEpPpk1l5p7IGt0czIr7opS3apSezaMrw9jjWtOZrVCOm/9Pj8AAOxAEXKnqvhYuj73JDaPiYzukFF3a98dJnG83E8V3+OHTFVYhtnpVyfj2RN/5ZyqKnXfHWo5+743KYI/CThfCRXBMs/fdyenIEsFKk1jvBG1RtQWzFoXGfZS5ZVyJ5pp+lN8dKe7eXYy+DezAkuVo33t3rbqKisuhYexWRf37rtbYHRn6TVy3RIAABxGMXIHAJDxxW8AAAAZHCB3xGqSPYK7XKFSzAtjR8OKLSPYEcgdAAB4CBjdAaAcIHcAAOAhQO4AAAAA4M2B3AEAAADAmwO5AwAAAIA356OqTp8+fQ0AAAAA8K5A7gAAAADgzYHcAQAAAMCbA7kDAAAAgDcHcgcAAAAAb87/AU5osIn3i/apAAAAAElFTkSuQmCC" alt="" />
注意,数组只有在定义的时候才能初始化,否则必须通过其它方法赋值,比如循环。因此,下面这样的操作是错误的:
aaarticlea/png;base64,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" alt="" />
可以这样赋值,在定义时直接用字符串赋值:
aaarticlea/png;base64,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" alt="" />
对数组中字符逐个赋值:
aaarticlea/png;base64,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*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" alt="" />
也可以省略数组的大小:
aaarticlea/png;base64,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" alt="" />
或者利用上面提到的strcpy_s。