重复的内容就不再重复了，参考http://www.cnblogs.com/xingd/archive/2008/02/01/1061800.html。
除了实现忽略大小写外，其他方面的性能也做了一些改进，主要借助下面的类，StringSegement，实现了大小写无关的比较和GetHashCode，同时避免了Substring的调用。
public class StringSegment
{
private string original;
private int offset = 0;
private int length = 0;public StringSegment(string s)
{
this.original = s;
this.length = original.Length;
}public void Slice(int offset, int length)
{
this.offset = offset;
this.length = length;
}public override bool Equals(object obj)
{
StringSegment sg = obj as StringSegment;
return sg != null && sg.length == this.length && string.Compare(this.original, this.offset, sg.original, sg.offset, this.length, true) == 0;
}public override int GetHashCode()
{
// call char.tolower and calculate hash code
}
}
GetHashCode的实现完全参考string的实现，就不重复了，挺长的一段。
另外，对于特征判断的数据，规划为64k x 4 bytes，也就是每char给4 bytes特征数据，如果有算法改进，只要在这4 bytes里重新规划，现在的定义如下：
[StructLayout(LayoutKind.Explicit, Size = 32)]
internal struct FastCheckFlag
{
[FieldOffset(0)]
public byte occur; // 1st~8th char occurrence
[FieldOffset(8)]
public byte length; // 2~9 word length begin with this char
[FieldOffset(16)]
public byte rlength; // 2~9 word length end with this char (reverse length);
[FieldOffset(24)]
public bool single; // single char bad words
[FieldOffset(25)]
public bool last; // last occurrence
[FieldOffset(26)]
public byte occurParity; // 9th~ occurrence parity flag
[FieldOffset(28)]
public byte lengthParity; // 10~ length parity flag
[FieldOffset(30)]
public byte rlengthParity; // 10~ rlength parity flag
}
另外在初始化数据的时候，取字符的大小写同时处理，例如：
if (word.Length == 1)
{
fastCheck[char.ToLower(word[0])].single = true;
fastCheck[char.ToUpper(word[0])].single = true;
}