linux驱动: 如何向模块传递参数, module_param和module_param_array

2023-06-14,,

如何向模块传递参数,Linux kernel 提供了一个简单的框架.
 
  1.  module_param(name, type, perm);
    name 既是用户看到的参数名,又是模块内接受参数的变量;
      type 表示参数的数据类型,是下列之一:byte, short, ushort, int, uint, long, ulong, charp, bool, invbool;
      perm 指定了在sysfs中相应文件的访问权限。访问权限与linux文件访问权限相同的方式管理,如0644,或使用stat.h中的宏如S_IRUGO表示。
            0    表示完全关闭在sysfs中相对应的项。
            #define S_IRUSR    00400 文件所有者可读
            #define S_IWUSR    00200 文件所有者可写
            #define S_IXUSR    00100 文件所有者可执行
            #define S_IRGRP    00040 与文件所有者同组的用户可读
            #define S_IWGRP    00020
            #define S_IXGRP    00010
            #define S_IROTH    00004 与文件所有者不同组的用户可读
            #define S_IWOTH    00002
            #define S_IXOTH    00001
            
  这些宏不会声明变量,因此在使用宏之前,必须声明变量,典型地用法如下:
  static unsigned int int_var = 0;
  module_param(int_var, uint, S_IRUGO);
    insmod xxxx.ko int_var=x

2.传递多个参数可以通过宏 module_param_array(para , type , &n_para , perm) 实现。
  
        其中,para既是外部模块的参数名又是程序内部的变量名,type是数据类型,perm是sysfs的访问权限。指针nump指向一个整数,其值表示有多少个参数存放在数组para中。
     para:参数数组; 数组的大小才是决定能输入多少个参数的决定因素.
     n_para:参数个数; 这个变量其实无决定性作用;只要para数组大小够大,在插入模块的时候,输入的参数个数会改变n_para的值,最终传递数组元素个数存在n_para中.
  
  典型地用法如下:
  static int para[MAX_FISH];
  static int n_para;
  module_param_array(para , int , &n_para , S_IRUGO);

#include <linux/module.h>
#include <linux/kernel.h>
#include <linux/fs.h>
#include <linux/init.h>
#include <linux/delay.h>
#include <asm/uaccess.h>
#include <asm/irq.h>
#include <asm/io.h>
#include <asm/arch/regs-gpio.h>
#include <asm/hardware.h> static char *name = "Ocean";
static int count = ;
static int para[] = {,,,};
static int n_para = ;
module_param(count, int, S_IRUGO);
module_param(name, charp, S_IRUGO);
module_param_array(para , int , &n_para , S_IRUGO); static struct file_operations first_drv_fops={
.owner = THIS_MODULE,
.open = first_drv_open,
.write = first_drv_write,
}; int first_drv_init(void)
{
printk("init first_drv drv!\n"); int i;
for (i = ; i < count; i++)
printk(KERN_ALERT "(%d) Hello, %s !\n", i, name); for (i = ; i < ; i++)
printk(KERN_ALERT "para[%d] : %d \n", i, para[i]); for(i = ; i < n_para; i++)
printk(KERN_ALERT "para[%d] : %d \n", i, para[i]); return ;
} void first_drv_exit(void)
{
printk("exit first_drv drv!\n");
} module_init(first_drv_init);
module_exit(first_drv_exit); MODULE_AUTHOR("Ocean Byond");
MODULE_DESCRIPTION("my first char driver");
MODULE_LICENSE("GPL");

数组大小为8,但只传入4个参数,则n_para=4.

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" alt="" />

数组大小为8,但只传入8个参数,则n_para=8.

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/0pZMTz8/wx6DOguF7zZ3xDStxaSYAFNR/KZ0FwxS4q/apiwKP/5ufBRNrxPHFzcFl4iVZcCh43WKvSd57ZUy45p+fWM9uFuy81wpZsDOLCQDcWf+l0Sx4mavrdBidoFo0LygLDr/XalkwdtHhnbIgAFBU/6XxP/Dxm4CM7SNeeL1gThbMv2TtZmvEK09u5b1XxvJ0zvlprk0Mx4muEa+eBZ/ev10vCAAlRV4aj26D9xccDBy33UfcvHtmnlh770j/bISncfbWirz3Ok/TBtWGq64Z56d5r9Z3nd/9xlnwsh/FJYMAUErs1cTDQqLLjsPTfje/v+DAMmh0D2xHa/CcPkNrqbFJweudXGZOGea9V3crd+aFgOH5iQ5yjzVizyMGgNKir6b/xgfJaXTq6z7PHYkkuVtkwf2uF62Gz9I56CyY9Mp7r4wnKY+fn16H/73Vr7heEAB+uoEvLHmO8C3G+Sc1Sc6kFwCwWYNfiN1PbqqHftrs+GOaAQC2YORrsUdf5GsWLm/7uN5taq+3mhQEALZs/MtP79+zw9yS7/23LdtBDABwP+UrAACglPIVAABQSvkKAAAopXwFAACUUr4CAABKGf+yfcTc1tvnw96KHAA2YeRrP+j+ghlPacvqw7o8jxgAShv8wst/v8b/SNcdRtPesueOTHkecdZQsuDWbOp/GADgIQ18YfQ5wu3naiT+kC95HvGKWTAcM/G9OX1YhSwIAKVFX61Xh+PzeZcg+HGsuyX+kL99zv1jLwv+fA/9xGoA2ILYq+Nh6/i/cz7LyoKDkS5pShY8L1jXhrPFGllwwrToYnnvdb6y8+/g9Z0Z5yccpHd5wNtn843BUEu3fTy9f3tYHwCUFHkpeyYvLwuOzjKOyc2C3RAzth1haRas57G6bjOJmPde5+0Xw8eec37i79XuU38qvnpDLTt2WRAACuu/lB/dMrPg3GXicDPHUARppqnakbH+xmjCWJQFYxurmyi2+uxg5nudM1zYrZ3h8s7P80fnEOr3avW5zlBehur1mcE9ZQCgrP5Lzx+5f+Bzs2ByS3JcVhaMTyy9/PcrXtiSLDgQMeujW3lqMPO90pdOTjw/wx+DOguG7zV3xjesxKWZAFBQ/6X1s2AdWWZmwcQacXxxc3CZeEkWHApet9hrkvdeGROu+ecn1rObBTvvtUIW7MxiAgB31n9pY/OCsuDwe62WBWMXHd4pCwIARfVf2tj1gjlZMP+StZutEa88uZX3XhnL0znnp7k2MRwnuka8ehZ8ev92vSAAlBR56d/aR9zsacjME2vvHTnfYCVydE1hM7dW5L3X+ZLKoNpw1TXj/DTv1fqu87vfOAte9qO4ZBAASom9Ov6wkKH1xKFQePP7Cw4sg0b3wHa0Bs/pM3TssUnB651cZk4Z5r1XeOPA7AsBw/MTHeQea8SeRwwApUVfHf0bPzEL3ue5I5Ekd4ssuN/1otVwEjqfqAWTXnnvlfEk5fHz0+vwv7f6FdcLAsBPN/CFJc8RvsU4/6QmyZn0AgA2a/ALsfvJTfXQT5s9z7Q96OEDAP+Eka/FHn2Rr1m4vO3jerepvd5qUhAA2LLxLz+9f88Oc0u+99+2bAcxAMD9lK8AAIBSylcAAEAp5SsAAKCU8hUAAFBK+QoAAChl/Mv2EXNbb58PeytyANiEka/9oPsLZjylLasP6/I8YgAobfALL//9Gv4jHT4ndzAsLnvuyJTnEWcNJQtuzab+hwEAHtLAF4afI1xnxK6h+yoveR7xilkwHDPxvTl9WIUsCAClRV+tV4cH5vNe/++r/cf7PJ02tMz39jn3j70s+PM99BOrAWALYq9ODFv1I9cGL/kainRJU7JgOFs5nC3WyILtxw3fek4r773OV3YOL9lnnJ9wkN4P9O2z+cZgqKXbPp7evz2sDwBKirw0dSYvkQXHZxlH5GbBbogZ246wNAuGF0re9uLCvPc6b78YPvac8xN/r3af+lPx1Rtq2bHLggBQWP+lqdEtvcw3c5k43MwxFEGaaap2ZKy/MZowFmXB2MbqJoqtPjuY+V7nDBd2a2e4vPPz/NE5hPq9Wn2uM5SXoXp9ZnBPGQAoq//S88eUP/CpScFdldiSPCwrC8Ynll7++xXPZ0uy4EDErI9u5anBzPdKr+ZPPD/DH4P6Bx2+19wZ37ASl2YCQEH9lyZkwVg+iDn+b34WTKwRxxc3B5eJl2TBoeB1i70mee+VMeGaf35iPbtZsPNeK2TBziwmAHBn/Zdys2BuEFw4LygLDr/XalkwdtHhnbIgAFBU/6WcP/DN1WyZ8W7R9YI5WTD/krWbrRGvPLmV914Zy9M556f5aYbjRNeIV8+CT+/frhcEgJIiL6WiWzPVlJ1+bruPuNnTkJkn1t47cr7BSuTomsJmbq3Ie6/zJZVBteGqa8b56Sf787vfOAte9qO4ZBAASom9OvqwkPCOd20D8fHm9xccWAaN7oHtaA2e02doLTUWi693cpk5ZZj3XtHHwOTcL6Z9fuLPkrnDvKDnEQNAadFXx/7GT82C93nuSKSqW2TB/a4XrYaT0DnoLJj0ynuvjCcpj5+fXof/vdWvuF4QAH66gS8seY7wLcb5J01dTAcAuLfBL+RvEx720E+bPc+0PejhAwD/hJGvxR59ka9ZuLzt43q3qb3ealIQANiy8S8/vX/PDnNLvvfftmwHMQDA/ZSvAACAUspXAABAKeUrAACglPIVAABQSvkKAAAopXwFSZ0npM295WHnGR4nt/0DAChfQZIsCABwI+UrSHr571fyntVhXkx0fvvcQhY838p7acYFAJivfAVJqSzYDVXJB36Uz4Kvh69ewX/+/v7zfXB7agDgnspXkDSeBc8zgtdsd34E3GDaK54F6wrDtFovYT/ok1oAgFKCxiUkBUuukecRd6fiupNwr4ev86Jn6+G8/aCTGme/qxJZsB6h+9VY2Ioc5uyz1pyfeU9qbgqI1lx85RoAeCxBo84oX/0l1yD0dDZhxGJckwUPvZ7tAJQxzn5XjWfBerE1zGSXIDt0Bd7i1HWpfO4g5zXic4XnTDw3XAIAzBM0rnN4l1DSpJZOhguT2fHUvdatdT3cJdvVg7fyWcY4+101ngWPp/aYnR3HQ9Gq+Lxg5xQlL3AEALiRoBFdWq1zz2hSef6IZsFOqmstHOeOcy0gkQWDFPh9eKmHulkWXENvy4tJQQDg7oJG9Dq2ztxbtd/Fl3f7WTAdblLj7HdVRhaMfO9oAeWz4GVSsK7wchT2EQMA9xU0srJgJ37NzoI54+x3Vc71gv3viuTXzmEWzILNjGA0XlspBgDuKWgM72+9ZJThHDMtC+aNs99ViX3EdYTqBrtb7yNeJl5zvcztjtMAwD0FjX4WbK7Du+azJsO1Ytb5urdZWTAxzrWG6fcXHF5vLb13pH/sQy8CANxW0GjdC3DoRjC9vbpz14izxrn2HLkJc/TeNGM3bS5+T5n8YwcAuKmgEcmCsTwXdju91a9M3zuSHme/q/KeRxwMlUpUpecFa90Ia0YQALi/oBHfO1JaThacpPT1ggAAWxE0ZEEAgIcSNDacBa9rqXN32nbWZGVBAABZEADggZWvAACAUspXAABAKeUrAACglPIVAABQSvkKAAAopXwFSfYRAwDcSPkKkmRBAIAbKV9BUuZzR86RMd2z8HNH6oc1x0moAMBdla8gKZkF3z7bcUoWBADIVb6CpPEseAmCH8en9+9/IQtG1QHx87l8JQDAIwkal5AUXKIXCSh16rr6OIYdXg9f5wv7WpN2/ZSWGme/q5LzgsfTucL7ZcHm/KwX3bb59D8A4McLGnUi+frurV0GoaezCSMW45oseOj1bMedjHH2uyr7esE7ZsFL5StNLpoUBAAKCRrXObxLLmkubutkuDBvHU9//v7+8314ubzSuiTuku3qwVu7gDPG2e+qLWbBdecFc8sGAFhd0KjjWmdmrs490dXbs+ePaBbspLrWwnHuONcCtpUF11QnYJOCAEAJQSN+1drx1LurX2x5t58F0/kmNc5+V/3wLGhSEAAoKWhkZcF6Hmt5FswZZ7+rfnYWNCkIABQVNKJZMFw4bnb+RqYJp2XBvHH2u+onZ8G64C1UAgA8qKDRz4LNJolrPmsyXOvywfN9YWZlwcQ41xq2lQXX2TsSWXwHALiroBE+wCN+X8DO04FnrxFnjXPtOXp/wfgzPMZvT138njL1ICYFAYCSgkYkC8byXNjt9Fa/Mn3vSHqc/a7aYhZcYV6wHsGkIABQVtDY5tMvsteIc23mekEAgMKChiwIAPBQgsaGs+B18XfuumrnXoayIACALAgA8MDKVwAAQCnlKwAAoJTyFQAAUEr5CgAAKKV8BQAAlFK+giT7iAEAbqR8BUmyIADAjZSvICnjuSNhzst6DvI2smD94Oazj2PpegCAB1O+gqTxLNiZNWx8H16GB9xGFnx6/+6WLQsCAHdWvoKkxLzg6+Gr/dXzTNtIrtpAFrwEweKRFAB4aEHjEpKCybbIkmt3TqsbvF4PX+cL+94+L936eS41zn5XZa0R94/itlmwOT+pxehBx9OCCx8BAFYTNOrnEX/11i7D0NPZhBGLcU0WPPR6tiNdxjj7XbXFLHipfOYgG5iYBADYVbEsGIa/Zsm1k+HCZHY8dS/Ra22JuGSyevDWZFjGOPtdNTkL1kFtLGmVnhd8ev/+/ef78FIfb/aWFwCA1QWN6IxanXtGtzU8f0SzYCfVtRaOc8e5FpCbBZOTglX5abn4hGhyywsAwOqCRr1G3E1dkYvbYmmmnwXTE12pcfa7akoW7E09jnTbQBaMrbzbSgwA3FPQyMqCnZXN2VkwZ5z9rsrOgplBsNpIFuxPAdpQAgDcXdCIZsFw1bXZ+RuZJpyWBfPG2e+qrCzYjJY5qVY6C9bV9go4nswLAgB3FjT6WbDZJHHNZ/3Udb4vzKwsmBjnWsNIFpy8ulp670js25vdNjYXAwB3FTRa9wIcuhHMwHM+pq8RZ41z7TmYBQdqjt7OsP0tJe8pE33oiAViAOD+gkYkV8XyXNjt9Fa/Mn3vSHqc/a7aYhZcfK/pgcMv/mkAAB5N0IjvHSlt6r2mk0pfLwgAsBVBQxYEAHgoQWPDWXD5RXWdexnKggAAsiAAwAMrXwEAAKWUrwAAgFLKVwAAQCnlKwAAoJTyFQAAUEr5CpLsIwYAuJHyFSTJggAAN1K+gqT0c0eOp+QzlNvKP3ekU/DZx7H82QYAHkr5CpISWTCeq8ainiwIAFArX0FSOgsGE4FP79+JXLWRLCj5AQDFBY1LSAou0YssuTZ5a3BC6/Xwdb6w7+3z0q2f51Lj7HdVzhpxRyppLc+CzflJLUbPrhAA4D6CRv084q/v3vJlEHo6mzBiMa7Jgodez3akyxhnv6smZ8Hnj7+//3wfXob7LM6Cl8rnDiILAgDbEDSuc3iX8Pd6+IpkuDCZ1Ve/teNX811BtqsHb+0Czhhnv6uysmAYK2+/d2SVecHAaHgFALiRoFHHtc58VZ17RiexelNxdRbs5JvWwnHuONcCpmTBm88LLmbvCACwDUGjXiPupq7jqXdXv9jybj8LpqfNUuPsd9XkNeLzNYjD714+C8ZLMjsIANxb0MjKggNzWpOzYM44+101Y+9IEwcH094Gs+A5Fm+tKgDghwsa0SwYLhw3s26RacJpWTBvnP2ukgUBAG4maPSzYLNJ4prP+nfvO6/JzsqCiXGuNUzIgs166y3XiJfuHelq1srnPl4PAGCmoNG6F+DQjWC6TweevUacNc6152AWjNe87XvKxI99tWQJAJAraERyVSyghN1Ob/Ur0/eOpMfZ76rJWTA9g1h8XrCXBS0NAwBlBI343pHSpl8vmLDJ6wUBAAoIGrIgAMBDCRobzoLXFdW5Gyw69zKUBQEAZEEAgAdWvgIAAEopXwEAAKWUrwAAgFLKVwAAQCnlKwAAoJTyFSTZRwwAcCPlK0iSBQEAbqR8BUn5zx25pMaP41i3Tc9ayQQAABwOSURBVD13JKfmzOMCAJiqfAVJuVnweLpM+/0zWTCn5uzjAgCYqnwFSXlZsF4CPr3/9+vfyYI5NU84LgCAqYLGJSQFl+h9Pve+7en9u33tXS+jvB6+zhf2vX1euvXzXGqc/a7Ky4KXp+e93CULNucncmYmyKl50nEBAEwVNOrk8RXms17o6WzCiMW4Jgseej3bkS5jnP2uysmCx9NlT8ldsuCl8gWD5NQ88bgAAKYKGtc5vEv4ez18RTJcmMzqC9q+Dy+XV5rvCrJdPXhrF3DGOPtdlcyC9XudC/435gVzap5+XAAAUwWNOq51AkdGCnn+iGbBTqprLRznjnMtYCgL1qvM12B3nyy4TE7Nc44LAGCqoHG5Oi3o1FqpPIst7/azYHraLDXOfleNZsF+Qtp+Fsyped5xAQBMFTSysmDrFieLsmDOOPtdNZYFu1tPRi9z7BxmqSyYU/PM4wIAmCpoRLNguHDcxJTINOG0LJg3zn5XyYKyIABwM0GjnwWbTRLXfNbElNZi5Tm4zMqCiXGuNWQ9d6T6V/aOTK/ZGjEAcAtBo3UvwKEbwXSfDjx7jThrnGvPTWXBNe4pM7FmWRAAuIWgEcmCsTwXdju91a9M3zuSHme/q7aYBc0LAgA/RNCI7x0pbVIWzFH6njIAAFsRNGRBAICHEjQ2nAWvq8mjd6se0bmXoSwIACALAgA8sPIVAABQSvkKAAAopXwFAACUUr4CAABKKV8BAACllK8gyT5iAIAbKV9BkiwIAHAj5StISjx35HjqPkP57+/xR/du4rkjnbKjjzbO6QMAsED5CpJ+YBaM1xyWlNMHAGCZ8hUk5WTBkeTXt4ksGEzyPb1/9/JrTh8AgGWCxiUkBZfoRZYmm1wyOAn3evg6X9j39nnp1s9zqXH2u2qTWbA5Pysu2uYcxfQjBQAYFzTq5xF/ffeWJoPQ09mEEYtxTRY89Hq2I13GOPtdtcUseKl8rcnF54+/v/98H16W9gEAmCZoXOfwLuHv9fAVyXBhMquvbGvHlOa7gmxXD97aBZwxzn5XzbheMBWYtjEvGEbh+FA5fQAA5gsadVzrzLHVuWd04q03ZVVnwU4may0c545zLeBn7R25HGwiwub0AQCYL2jUa8Td1HU8/elmuNjybj8LpuexUuPsd1UyC/Y0s5vDsWkbWbDtfN3k2BnL6QMAME3QyMqCA/Nwk7Ngzjj7XTU9C54j5mDa214W3J2j3nhVOX0AACYIGtEsGC4cN7NTkWnCaVkwb5z9rpIFp/UBAJggaPSzYLNJ4prP+ne5O69dzsqCiXGuNeRnwWbdeeTCxG3sHemXlBgwpw8AwCRBo3UvwKEbwXSfDjx7jThrnGvPwSwYHycdqkreUyZ+nsMDz+kDALBQ0Ijkj1ioCrud3upXpu8dSY+z31WTs2A6nxWfF+yd58jR5fQBAFgoaMT3jpQ2/XrBhE1eLwgAUEDQkAUBAB5K0NhwFryulo7erXpE516GsiAAgCwIAPDAylcAAEAp5SsAAKCU8hUAAFBK+QoAACilfAUAAJRSvoIk+4gBAG6kfAVJsiAAwI2UryAp97kj9UOQzz6Ogz238dyRMJvGH22c0wcAYL7yFSRlZMGn9+/2nN/Ws2BnprPxfXiZ2AcAYKHyFSSlsuAlCObGu+JZsHo9fLWP6DyjGeTXnD4AAMsEjUtICialIkuT3Xm4bkB5PXydL+x7+7x06+e51Dj7XZXMgsfT1IsIl2fB5vyst2hbn6XxnJfTBwBgkqBRP4/4q7feGoaeziaMWIxrsuCh17Md6TLG2e+qVBacEewWZ8FL5atNLsqCAEARQeM6h3cJf83SZCfDhcnseOpeytbaxnHJLvXgrQm8jHH2uyqRBZ/ev3//+T681N+bt81ie/OCdbgcLymnDwDANEEjOvNU557R6ajnj2gW7KS61sJx7jjXAoayYHxycXybRfnrBSP1mBQEAAoIGvUacTd1RS7IiyWwfhZMT5ulxtnvqswsGFvFHkpOm8qCvenSmX0AAGYIGllZsLMaOzsL5oyz31U5WbA/BTi6oWQ7WVAQBADKChrRLBiuTjY7fyPThNOyYN44+12Vc71gP9gdT5ufF2zOwOiyb04fAID5gkY/CzabJK75rJ9OzveFmZUFE+NcaxjcRxzZxtHsXBlMexvYO5JYxc7uAwCwSNBo3Qtw6EYwA8/DmL5GnDXOtWfOvaYDI4uqxe8pM3Ceg1Od0wcAYKGgEckfsTwXdju91a9M3zuSHme/q/KeR9wfKtW55LygLAgAbETQiO8dKS0nC06yjesFAQDKCxqyIADAQwkaG86CWRcCjurcy1AWBACQBQEAHlj5CgAAKKV8BQAAlFK+AgAASilfAQAApZSvAACAUspXkGQfMQDAjZSvIEkWBAC4kfIVJI09d6R+8HHcYNrbznNHzjF37J6OOX0AAOYpX0HSj8yCb5/tUuNHl9MHAGCJ8hUkTX4ecR0QP5+HOhTPgpeQ93F8ev+O57ycPgAACwWNS0gKLtGLhKo6nVx9HMMOr4ev84V9rcmtfppJjbPfVdOzYPJJesuzYHN+huNmwvF0/t7hnJfTBwBgmaBRp6ivMJ/1Qk9nE0YsxjVZ8NDr2Q40GePsd9XULJiaFKxWyIKXypdPLubkPFkQALiVoHGdw7tkqeaCvE6GC3PJ8fTn7+8/34eXyyuty/gu2a4evLULOGOc/a6algWzYlP5ecFpBcuCAMCtBI06rnVm5urcE129PXv+iGbBTqprLRznjnMtIC8J1WkyFdGKXy/YIgsCACUFjfiVdsdT765+seXdfhZMT5ulxtnvqglZMDczyYIAALWgkZUF67m35VkwZ5z9rsrPgnmTgpUsCABwFjSiWTBcOG52/kamCadlwbxx9rsqNwvWA2YlPFkQAKAWNPpZsNkkcc1nTYZrXT54vi/MrCyYGOdaQyoJRRayB9k7AgBQCxrhgy7i9wXsPB149hpx1jjXnuNJqL7uMDfelb+nzND6ePswc/oAACwTNCJZMJbnwm6nt/qV6XtH0uPsd1VGFqxjZeakYLWFeUFZEADYhqCRfGJHEZOfQZeypesFAQBKChqyIADAQwkaG86C10XS/LXgUOdehrIgAIAsCADwwMpXAABAKeUrAACglPIVAABQSvkKAAAopXwFAACUUr6CJPuIAQBupHwFSbIgAMCNlK8gKee5I2FeTHTexnNHnt6/f6+RcQEA5itfQVIqC3ZDVe3jODhg+Sz4evjqFfzn7+8/34eX0mcbAHgo5StIGs+C5xnBa7Z7+0ysAhfPgnWFYVqtl7A399AXAOBnCxqXkBQsuX4+976tOxXXnYR7PXydFz3PySwadFLj7HdVIgvWI3S/GgtbkcOcfdaa8xM5M1miz/ornlABgAcUNOqM8tVfcg1CT2cTRizGNVnw0OvZDkAZ4+x31XgWrBdbw0x2CbJDV+AtTl2XyucOcl4jPld4zsRzwyUAwDxB4zqHdwklTWrpZLgwmR1P3WvdWtfDXbJdPXgrn2WMs99V41nweGqP2dlxPBStis8Ldk5R8gJHAIAbCRrRpdU694wmleePaBbspLrWwnHuONcCElkwSIHfh5d6qJtlwTX0tryYFAQA7i5oRK9j68y9VftdfHm3nwXT4SY1zn5XZWTByPeOFlA+C14mBesKL0dhHzEAcF9BIysLduLX7CyYM85+V+VcL9j/rkh+7RxmwSzYzAhG47WVYgDgnoLG8P7WS0YZzjHTsmDeOPtdldhHXEeobrC79T7iZeI118vc7jgNANxT0OhnweY6vGs+azJcK2adr3ublQUT41xrmH5/weH11tJ7R/rHPvQiAMBtBY3WvQCHbgTT26s7d404a5xrz5GbMEfvTTN20+bi95TJP3YAgJsKGpEsGMtzYbfTW/3K9L0j6XH2uyrvecTBUKlEVXpesNaNsGYEAYD7CxrxvSOl5WTBSUpfLwgAsBVBQxYEAHgoQWPDWfC6ljp3p21nTVYWBACQBQEAHlj5CgAAKKV8BQAAlFK+AgAASilfAQAApZSvAACAUspXkGQfMQDAjZSvIEkWBAC4kfIVJGU+d+QcGdM9Cz93pH5Yc5yECgDcVfkKkpJZ8O2zHadkQQCAXOUrSBrPgpcg+HF8ev/+F7JgVB0QP5/LVwIAPJKgcQlJwSV6kYBSp66rj2PY4fXwdb6wrzVp109pqXH2uyo5L3g8nSu8XxZszs960W2bT/8DAH68oFEnkq/v3tplEHo6mzBiMa7Jgodez3bcyRhnv6uyrxe8Yxa8VL7S5KJJQQCgkKBxncO75JLm4rZOhgvz1vH05+/vP9+Hl8srrUviLtmuHry1CzhjnP2u2mIWXHdeMLdsAIDVBY06rnVm5urcE129PXv+iGbBTqprLRznjnMtYFtZcE11AjYpCACUEDTiV60dT727+sWWd/tZMJ1vUuPsd9UPz4ImBQGAkoJGVhas57GWZ8Gccfa76mdnQZOCAEBRQSOaBcOF42bnb2SacFoWzBtnv6t+chasC95CJQDAgwoa/SzYbJK45rMmw7UuHzzfF2ZWFkyMc61hW1lwnb0jkcV3AIC7ChrhAzzi9wXsPB149hpx1jjXnqP3F4w/w2P89tTF7ylTD2JSEAAoKWhEsmAsz4XdTm/1K9P3jqTH2e+qLWbBFeYF6xFMCgIAZQWNbT79InuNONdmrhcEACgsaMiCAAAPJWhsOAteF3/nrqt27mUoCwIAyIIAAA+sfAUAAJRSvgIAAEopXwEAAKWUrwAAgFLKVwAAQCnlK0iyjxgA4EbKV5AkCwIA3Ej5CpIynjsS5rys5yBvIwvWD24++ziWrgcAeDDlK0gaz4KdWcPG9+FleMBtZMGn9+9u2bIgAHBn5StISswLvh6+2l89z7SN5KoNZMFLECweSQGAhxY0LiEpmGyLLLl257S6wev18HW+sO/t89Ktn+dS4+x3VdYacf8obpsFm/OTWowedDwtuPARAGA1QaN+HvFXb+0yDD2dTRixGNdkwUOvZzvSZYyz31VbzIKXymcOsoGJSQCAXRXLgmH4a5ZcOxkuTGbHU/cSvdaWiEsmqwdvTYZljLPfVZOzYB3UxpJW6XnBp/fv33++Dy/18WZveQEAWF3QiM6o1blndFvD80c0C3ZSXWvhOHecawG5WTA5KViVn5aLT4gmt7wAAKwuaNRrxN3UFbm4LZZm+lkwPdGVGme/q6Zkwd7U40i3DWTB2Mq7rcQAwD0Fjaws2FnZnJ0Fc8bZ76rsLJgZBKuNZMH+FKANJQDA3QWNaBYMV12bnb+RacJpWTBvnP2uysqCzWiZk2qls2Bdba+A48m8IABwZ0GjnwWbTRLXfNZPXef7wszKgolxrjWMZMHJq6ul947Evr3ZbWNzMQBwV0GjdS/AoRvBDDznY/oacdY4156DWXCg5ujtDNvfUvKeMtGHjlggBgDuL2hEclUsz4XdTm/1K9P3jqTH2e+qLWbBxfeaHjj84p8GAODRBI343pHSpt5rOqn09YIAAFsRNGRBAICHEjQ2nAWXX1TXuZehLAgAIAsCADyw8hUAAFBK+QoAACilfAUAAJRSvgIAAEopXwEAAKWUryDJPmIAgBspX0GSLAgAcCPlK0hKP3fkeEo+Q7mt/HNHOgWffRzLn20A4KGUryApkQXjuWos6smCAAC18hUkpbNgMBH49P6dyFUbyYKSHwBQXNC4hKTgEr3IkmuTtwYntF4PX+cL+94+L936eS41zn5X5awRd6SS1vIs2Jyf1GL07AoBAO4jaNTPI/767i1fBqGnswkjFuOaLHjo9WxHuoxx9rtqchZ8/vj7+8/34WW4z+IseKl87iCyIACwDUHjOod3CX+vh69IhguTWX31Wzt+Nd8VZLt68NYu4Ixx9rsqKwuGsfL2e0dWmRcMjIZXAIAbCRp1XOvMV9W5Z3QSqzcVV2fBTr5pLRznjnMtYEoWvPm84GL2jgAA2xA06jXibuo6nnp39Yst7/azYHraLDXOfldNXiM+X4M4/O7ls2C8JLODAMC9BY2sLDgwpzU5C+aMs99VM/aONHFwMO1tMAueY/HWqgIAfrigEc2C4cJxM+sWmSaclgXzxtnvKlkQAOBmgkY/CzabJK75rH/3vvOa7KwsmBjnWsOELNist95yjXjp3pGuZq187uP1AABmChqtewEO3Qim+3Tg2WvEWeNcew5mwXjN276nTPzYV0uWAAC5gkYkV8UCStjt9Fa/Mn3vSHqc/a6anAXTM4jF5wV7WdDSMABQRtCI7x0pbfr1ggmbvF4QAKCAoCELAgA8lKCx4Sx4XVGdu8Gicy9DWRAAQBYEAHhg5SsAAKCU8hUAAFBK+QoAACilfAUAAJRSvgIAAEopX0GSfcQAADdSvoIkWRAA4EbKV5CU/9yRS2r8OI5129RzR3JqzjwuAICpyleQlJsFj6fLtN8/kwVzas4+LgCAqcpXkJSXBesl4NP7f7/+nSyYU/OE4wIAmCpoXEJScIne53Pv257ev9vX3vUyyuvh63xh39vnpVs/z6XG2e+qvCx4eXrey12yYHN+ImdmgpyaJx0XAMBUQaNOHl9hPuuFns4mjFiMa7LgodezHekyxtnvqpwseDxd9pTcJQteKl8wSE7NE48LAGCqoHGdw7uEv9fDVyTDhcmsvqDt+/ByeaX5riDb1YO3dgFnjLPfVcksWL/XueB/Y14wp+bpxwUAMFXQqONaJ3BkpJDnj2gW7KS61sJx7jjXAoayYL3KfA1298mCy+TUPOe4AACmChqXq9OCTq2VyrPY8m4/C6anzVLj7HfVaBbsJ6TtZ8GcmucdFwDAVEEjKwu2bnGyKAvmjLPfVWNZsLv1ZPQyx85hlsqCOTXPPC4AgKmCRjQLhgvHTUyJTBNOy4J54+x3lSwoCwIANxM0+lmw2SRxzWdNTGktVp6Dy6wsmBjnWkPWc0eqf2XvyPSarREDALcQNFr3Ahy6EUz36cCz14izxrn23FQWXOOeMhNrlgUBgFsIGpEsGMtzYbfTW/3K9L0j6XH2u2qLWdC8IADwQwSN+N6R0iZlwRyl7ykDALAVQUMWBAB4KEFjw1nwupo8erfqEZ17GcqCAACyIADAAytfAQAApZSvAACAUspXAABAKeUrAACglPIVAABQSvkKkuwjBgC4kfIVJMmCAAA3Ur6CpMRzR46n7jOU//4ef3TvJp470ik7+mjjnD4AAAuUryDpB2bBeM1hSTl9AACWKV9BUk4WHEl+fZvIgsEk39P7dy+/5vQBAFgmaFxCUnCJXmRpssklg5Nwr4ev84V9b5+Xbv08lxpnv6s2mQWb87Piom3OUUw/UgCAcUGjfh7x13dvaTIIPZ1NGLEY12TBQ69nO9JljLPfVVvMgpfK15pcfP74+/vP9+FlaR8AgGmCxnUO7xL+Xg9fkQwXJrP6yrZ2TGm+K8h29eCtXcAZ4+x31YzrBVOBaRvzgmEUjg+V0wcAYL6gUce1zhxbnXtGJ956U1Z1FuxkstbCce441wJ+1t6Ry8EmImxOHwCA+YJGvUbcTV3H059uhost7/azYHoeKzXOflcls2BPM7s5HJu2kQXbztdNjp2xnD4AANMEjawsODAPNzkL5oyz31XTs+A5Yg6mve1lwd056o1XldMHAGCCoBHNguHCcTM7FZkmnJYF88bZ7ypZcFofAIAJgkY/CzabJK75rH+Xu/Pa5awsmBjnWkN+FmzWnUcuTNzG3pF+SYkBc/oAAEwSNFr3Ahy6EUz36cCz14izxrn2HMyC8XHSoarkPWXi5zk88Jw+AAALBY1I/oiFqrDb6a1+ZfrekfQ4+101OQum81nxecHeeY4cXU4fAICFgkZ870hp068XTNjk9YIAAAUEDVkQAOChBI0NZ8Hrauno3apHdO5lKAsCAMiCAAAPrHwFAACUUr4CAABKKV8BAACllK8AAIBSylcAAEAp5StIso8YAOBGyleQJAsCANxI+QqScp87Uj8E+ezjONhzG88dCbNp/NHGOX0AAOYrX0FSRhZ8ev9uz/ltPQt2Zjob34eXiX0AABYqX0FSKgtegmBuvCueBavXw1f7iM4zmkF+zekDALBM0LiEpGBSKrI02Z2H6waU18PX+cK+t89Lt36eS42z31XJLHg8Tb2IcHkWbM7Peou29Vkaz3k5fQAAJgka9fOIv3rrrWHo6WzCiMW4Jgseej3bkS5jnP2uSmXBGcFucRa8VL7a5KIsCAAUETSuc3iX8NcsTXYyXJjMjqfupWytbRyX7FIP3prAyxhnv6sSWfDp/fv3n+/DS/29edsstjcvWIfL8ZJy+gAATBM0ojNPde4ZnY56/ohmwU6qay0c545zLWAoC8YnF8e3WZS/XjBSj0lBAKCAoFGvEXdTV+SCvFgC62fB9LRZapz9rsrMgrFV7KHktKks2JsundkHAGCGoJGVBTursbOzYM44+12VkwX7U4CjG0q2kwUFQQCgrKARzYLh6mSz8zcyTTgtC+aNs99VOdcL9oPd8bT5ecHmDIwu++b0AQCYL2j0s2CzSeKaz/rp5HxfmFlZMDHOtYbBfcSRbRzNzpXBtLeBvSOJVezsPgAAiwSN1r0Ah24EM/A8jOlrxFnjXHvm3Gs6MLKoWvyeMgPnOTjVOX0AABYKGpH8EctzYbfTW/3K9L0j6XH2uyrvecT9oVKdS84LyoIAwEYEjfjekdJysuAk27heEACgvKAhCwIAPJSgseEsmHUh4KjOvQxlQQAAWRAA4IGVrwAAgFLKVwAAQCnlKwAAoJTyFQAAUEr5CgAAKKV8BUn2EQMA3Ej5CpJkQQCAGylfQdLYc0fqBx/HDaa97Tx35Bxzx+7pmNMHAGCe8hUk/cgs+PbZLjV+dDl9AACWKF9B0uTnEdcB8fN5qEPxLHgJeR/Hp/fveM7L6QMAsFDQuISk4BK9SKiq08nVxzHs8Hr4Ol/Y15rc6qeZ1Dj7XTU9CyafpLc8CzbnZzhuJhxP5+8dznk5fQAAlgkadYr6CvNZL/R0NmHEYlyTBQ+9nu1AkzHOfldNzYKpScFqhSx4qXz55GJOzpMFAYBbCRrXObxLlmouyOtkuDCXHE9//v7+8314ubzSuozvku3qwVu7gDPG2e+qaVkwKzaVnxecVrAsCADcStCo41pnZq7OPdHV27Pnj2gW7KS61sJx7jjXAvKSUJ0mUxGt+PWCLbIgAFBS0IhfaXc89e7qF1ve7WfB9LRZapz9rpqQBXMzkywIAFALGllZsJ57W54Fc8bZ76r8LJg3KVjJggAAZ0EjmgXDheNm529kmnBaFswbZ7+rcrNgPWBWwpMFAQBqQaOfBZtNEtd81mS41uWD5/vCzMqCiXGuNaSSUGQhe5C9IwAAtaARPugifl/AztOBZ68RZ41z7TmehOrrDnPjXfl7ygytj7cPM6cPAMAyQSOSBWN5Lux2eqtfmb53JD3OfldlZME6VmZOClZbmBeUBQGAbQgaySd2FDH5GXQpW7peEACgpKAhCwIAPJSgseEseF0kzV8LDnXuZSgLAgDIggAAD6x8BQAAlLL6iP8v47/yhw0AQCULAgA8sP8P1yCf8FVjHeMAAAAASUVORK5CYII=" 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数组大小为8,传入9个参数,数组不够大,无法传入.

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" 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linux驱动: 如何向模块传递参数, module_param和module_param_array的相关教程结束。

《linux驱动: 如何向模块传递参数, module_param和module_param_array.doc》

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