概念:
算法文章,总是带给我们无穷的思考和兴趣,一个问题,多种解决方法,看你如何去思考它,对于标题所引出的问题,我觉得,使用递归是比较有效的方法,当然递归还有很多使用场合,如树型分类列表的操作等等。
注意:
使用递归时,初学者要特别注意的就是“出口”,必须为递归提供一个出口,否则你的内存就要溢出了,呵呵,memory overflow大家肯定都见过,都是从那时候过来的,呵呵。
代码中的递归:
核心代码
[flash=500,400]http://s1.knowsky.com/20160211/wjl3qa1qy3d34.gif[/flash]
static void GetFiles(List<string> arr, string dir)
{
arr.AddRange(Directory.GetFiles(dir));
var subDir = Directory.GetDirectories(dir).ToList();
if (subDir != null && subDir.Count > 0)
subDir.ForEach(j =>
{
GetFiles(arr, j);
});
}
[flash=500,400]http://s1.knowsky.com/20160211/wjl3qa1qy3d34.gif[/flash]
程序入口
[flash=500,400]http://s1.knowsky.com/20160211/wjl3qa1qy3d34.gif[/flash]
static void Main(string[] args)
{
string path = "F:\\softmare\\Fiddler2汉化";
var obj = FileSync(path);
using (System.IO.StreamWriter srFile = new System.IO.StreamWriter(path + "\\filelist.txt"))
{
obj.ForEach(i =>
{
srFile.WriteLine(i);
});
}
Console.WriteLine("填充完成");
Console.ReadKey();
}
[flash=500,400]http://s1.knowsky.com/20160211/wjl3qa1qy3d34.gif[/flash]
结果如图:
[flash=500,400]http://www.cnblogs.com/shouce/p/data:image/png;base64,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[/flash]
让程序代码变得更有艺术感吧!