冷算法：自动生成代码标识符（类名、方法名、变量名）
竟然有小伙伴喜欢在编写代码时使用随机字符当作类名、方法名、变量名，例如这一篇博客里的代码：使用 Resharper 特性 - 林德熙。既然随机，那也随机得像一些啊！于是我改进了标识符的随机算法，使得生成的标识符更像真实单词的组合。
看看标识符的生成效果吧！0、2、4……行是 PascalCase，即首字母大写的；1、3、5……行是 camelCase 即首字母小写的。
▲ 是不是感觉甚至能读出来？
嗯嗯，因为生成规则中考虑到了辅音和元音的组合，而且……嗯……还考虑到了部件出现的概率。
比如一个单词中的音节数，单音节概率 44%，双音节概率 31%，三音节概率 19%，四音节概率 6%。而这样的概率是通过一个幂函数来实现的。具体来说，是下面这个函数：
好吧，把我的源码放出来：
public class RandomIdentifier
{
private readonly Random _random = new Random();
public string Generate(bool pascal)
{
var builder = new StringBuilder();
var wordCount = _random.Next(2, 4);
for (var i = 0; i < wordCount; i++)
{
var syllableCount = 4 - (int) Math.Sqrt(_random.Next(0, 16));
for (var j = 0; j < syllableCount; j++)
{
var consonant = Consonants[_random.Next(Consonants.Count)];
var vowel = Vowels[_random.Next(Vowels.Count)];
if ((pascal || i != 0) && j == 0)
{
consonant = CultureInfo.CurrentCulture.TextInfo.ToTitleCase(consonant);
}
builder.Append(consonant);
builder.Append(vowel);
}
}
return builder.ToString();
}
private static readonly List<string> Consonants = new List<string>
{
"q","w","r","t","y","p","s","d","f","g","h","j","k","l","z","x","c","v","b","n","m",
"w","r","t","p","s","d","f","g","h","j","k","l","c","b","n","m",
"r","t","p","s","d","h","j","k","l","c","b","n","m",
"r","t","s","j","c","n","m",
"tr","dr","ch","wh","st",
"s","s"
};
private static readonly List<string> Vowels = new List<string>
{
"a","e","i","o","u",
"a","e","i","o","u",
"a","e","i",
"a","e",
"e",
"ar","as","ai","air","ay","al","all","aw",
"ee","ea","ear","em","er","el","ere",
"is","ir",
"ou","or","oo","ou","ow",
"ur"
};
}而使用方法，则是简单的一个调用：
var identifier = new RandomIdentifier();
var pascal = _identifier.Generate(true);
var camel = _identifier.Generate(false);传入 true 生成首字母大写的版本，传入 false 生成首字母小写的版本。