让我们把你的优秀和最喜欢的扩展方法列一个列表。

要求是必须发布完整的代码,以及如何使用它的示例和解释。

基于对这个主题的高度兴趣,我在Codeplex上建立了一个名为extensionoverflow的开源项目。

请将您的回答标记为接受,以便将代码放入Codeplex项目。

请张贴完整的源代码,而不是一个链接。

Codeplex上新闻:

24.08.2010 Codeplex页面现在在这里:http://extensionoverflow.codeplex.com/

11.11.2008 XmlSerialize / XmlDeserialize现在是实现和单元测试。

11.11.2008仍有发展空间。;-)现在就加入!

11.11.2008第三位贡献者加入了ExtensionOverflow,欢迎加入BKristensen

11.11.2008 FormatWith现在是实现和单元测试。

09.11.2008第二个贡献者加入ExtensionOverflow。欢迎来到chakrit。

我们需要更多的开发人员。: -)

09.11.2008 ThrowIfArgumentIsNull现已在Codeplex上实现和单元测试。


当前回答

也许我写过和用过的最有用的扩展方法是:

http://www.codeproject.com/KB/cs/fun-with-cs-extensions.aspx?msg=2838918#xx2838918xx

其他回答

在我的博客统计页面的最近搜索部分,我已经删除了所有重复的行,但需要一种方法来删除几乎重复的行。我会得到大量相似但不完全相同的谷歌查询。

我最终使用了匿名类型而不是字典,但想要一种方法来创建该匿名类型的List。你不能这样做,但是你可以在。net 4.0中创建一个List<dynamic>:)

我喜欢它的主要原因是我有效地得到了一个List<AnonymousType#1>()。

/// <summary>Remove extraneous entries for common word permutations</summary>
/// <param name="input">Incoming series of words to be filtered</param>
/// <param name="MaxIgnoreLength">Words this long or shorter will not count as duplicates</param>
/// <param name="words2">Instance list from BuildInstanceList()</param>
/// <returns>Filtered list of lines from input, based on filter info in words2</returns>
private static List<string> FilterNearDuplicates(List<string> input, int MaxIgnoreLength, List<dynamic> words2)
{
    List<string> output = new List<string>();
    foreach (string line in input)
    {
        int Dupes = 0;
        foreach (string word in line.Split(new char[] { ' ', ',', ';', '\\', '/', ':', '\"', '\r', '\n', '.' })
            .Where(p => p.Length > MaxIgnoreLength)
            .Distinct())
        {
            int Instances = 0;
            foreach (dynamic dyn in words2)
            if (word == dyn.Word)
            {
                Instances = dyn.Instances;
                if (Instances > 1)
                    Dupes++;
                break;
            }
        }
        if (Dupes == 0)
            output.Add(line);
    }
    return output;
}
/// <summary>Builds a list of words and how many times they occur in the overall list</summary>
/// <param name="input">Incoming series of words to be counted</param>
/// <returns></returns>
private static List<dynamic> BuildInstanceList(List<string> input)
{
    List<dynamic> words2 = new List<object>();
    foreach (string line in input)
    foreach (string word in line.Split(new char[] { ' ', ',', ';', '\\', '/', ':', '\"', '\r', '\n', '.' }))
    {
        if (string.IsNullOrEmpty(word))
            continue;
        else if (ExistsInList(word, words2))
            for (int i = words2.Count - 1; i >= 0; i--)
            {
                if (words2[i].Word == word)
                    words2[i] = new { Word = words2[i].Word, Instances = words2[i].Instances + 1 };
            }
        else
            words2.Add(new { Word = word, Instances = 1 });
    }

    return words2;
}
/// <summary>Determines whether a dynamic Word object exists in a List of this dynamic type.</summary>
/// <param name="word">Word to look for</param>
/// <param name="words">Word dynamics to search through</param>
/// <returns>Indicator of whether the word exists in the list of words</returns>
private static bool ExistsInList(string word, List<dynamic> words)
{
    foreach (dynamic dyn in words)
        if (dyn.Word == word)
            return true;
    return false;
}

下面是一个扩展方法,它适应Rick Strahl的代码(以及注释),使您不必在每次将字节数组或文本文件转换为字符串时猜测或阅读其字节顺序标记。

这个代码片段允许你简单地做:

byte[] buffer = File.ReadAllBytes(@"C:\file.txt");
string content = buffer.GetString();

如果你发现任何错误,请添加到评论中。请随意将它包含在Codeplex项目中。

public static class Extensions
{
    /// <summary>
    /// Converts a byte array to a string, using its byte order mark to convert it to the right encoding.
    /// Original article: http://www.west-wind.com/WebLog/posts/197245.aspx
    /// </summary>
    /// <param name="buffer">An array of bytes to convert</param>
    /// <returns>The byte as a string.</returns>
    public static string GetString(this byte[] buffer)
    {
        if (buffer == null || buffer.Length == 0)
            return "";

        // Ansi as default
        Encoding encoding = Encoding.Default;       

        /*
            EF BB BF    UTF-8 
            FF FE UTF-16    little endian 
            FE FF UTF-16    big endian 
            FF FE 00 00 UTF-32, little endian 
            00 00 FE FF UTF-32, big-endian 
         */

        if (buffer[0] == 0xef && buffer[1] == 0xbb && buffer[2] == 0xbf)
            encoding = Encoding.UTF8;
        else if (buffer[0] == 0xfe && buffer[1] == 0xff)
            encoding = Encoding.Unicode;
        else if (buffer[0] == 0xfe && buffer[1] == 0xff)
            encoding = Encoding.BigEndianUnicode; // utf-16be
        else if (buffer[0] == 0 && buffer[1] == 0 && buffer[2] == 0xfe && buffer[3] == 0xff)
            encoding = Encoding.UTF32;
        else if (buffer[0] == 0x2b && buffer[1] == 0x2f && buffer[2] == 0x76)
            encoding = Encoding.UTF7;

        using (MemoryStream stream = new MemoryStream())
        {
            stream.Write(buffer, 0, buffer.Length);
            stream.Seek(0, SeekOrigin.Begin);
            using (StreamReader reader = new StreamReader(stream, encoding))
            {
                return reader.ReadToEnd();
            }
        }
    }
}

我最喜欢的是字符串上的IsLike()扩展。IsLike()匹配VB的Like操作符,当你不想写一个完整的正则表达式来解决你的问题时,它很方便。用法是这样的:

"abc".IsLike("a*"); // true
"Abc".IsLike("[A-Z][a-z][a-z]"); // true
"abc123".IsLike("*###"); // true
"hat".IsLike("?at"); // true
"joe".IsLike("[!aeiou]*"); // true

"joe".IsLike("?at"); // false
"joe".IsLike("[A-Z][a-z][a-z]"); // false

下面是代码

public static class StringEntentions {
    /// <summary>
    /// Indicates whether the current string matches the supplied wildcard pattern.  Behaves the same
    /// as VB's "Like" Operator.
    /// </summary>
    /// <param name="s">The string instance where the extension method is called</param>
    /// <param name="wildcardPattern">The wildcard pattern to match.  Syntax matches VB's Like operator.</param>
    /// <returns>true if the string matches the supplied pattern, false otherwise.</returns>
    /// <remarks>See http://msdn.microsoft.com/en-us/library/swf8kaxw(v=VS.100).aspx</remarks>
    public static bool IsLike(this string s, string wildcardPattern) {
        if (s == null || String.IsNullOrEmpty(wildcardPattern)) return false;
        // turn into regex pattern, and match the whole string with ^$
        var regexPattern = "^" + Regex.Escape(wildcardPattern) + "$";

        // add support for ?, #, *, [], and [!]
        regexPattern = regexPattern.Replace(@"\[!", "[^")
                                   .Replace(@"\[", "[")
                                   .Replace(@"\]", "]")
                                   .Replace(@"\?", ".")
                                   .Replace(@"\*", ".*")
                                   .Replace(@"\#", @"\d");

        var result = false;
        try {
            result = Regex.IsMatch(s, regexPattern);
        }
        catch (ArgumentException ex) {
            throw new ArgumentException(String.Format("Invalid pattern: {0}", wildcardPattern), ex);
        }
        return result;
    }
}

每n个字符换行一个字符串。

public static string WrapAt(this string str, int WrapPos)
{
    if (string.IsNullOrEmpty(str))
        throw new ArgumentNullException("str", "Cannot wrap a null string");
    str = str.Replace("\r", "").Replace("\n", "");

    if (str.Length <= WrapPos)
        return str;

    for (int i = str.Length; i >= 0; i--)
        if (i % WrapPos == 0 && i > 0 && i != str.Length)
            str = str.Insert(i, "\r\n");
    return str;
}

内联转换:我喜欢这个小模式。完成了Boolean, Double和DateTime。设计遵循c#的is和作为操作符。

public static Int32? AsInt32(this string s)
{
    Int32 value;
    if (Int32.TryParse(s, out value))
        return value;

    return null;
}

public static bool IsInt32(this string s)
{
    return s.AsInt32().HasValue;
}

public static Int32 ToInt32(this string s)
{
    return Int32.Parse(s);
{