您可能已经知道扩展方法的一个有趣用法是作为一种mixin。一些扩展方法，比如XmlSerializable，几乎污染了所有类;这对大多数人来说没有意义，比如Thread和SqlConnection。

一些功能应该显式地混合到希望拥有它的类中。我对这种类型提出了一种新的表示法，以M为前缀。

XmlSerializable是这样的:

public interface MXmlSerializable { }
public static class XmlSerializable {
  public static string ToXml(this MXmlSerializable self) {
    if (self == null) throw new ArgumentNullException();
    var serializer = new XmlSerializer(self.GetType());
    using (var writer = new StringWriter()) {
      serializer.Serialize(writer, self);
      return writer.GetStringBuilder().ToString();
    }
  }
  public static T FromXml<T>(string xml) where T : MXmlSerializable {
    var serializer = new XmlSerializer(typeof(T));
    return (T)serializer.Deserialize(new StringReader(xml));
  }
}

然后一个类将其混合:

public class Customer : MXmlSerializable {
  public string Name { get; set; }
  public bool Preferred { get; set; }
}

用法很简单:

var customer = new Customer { 
  Name = "Guybrush Threepwood", 
  Preferred = true };
var xml = customer.ToXml();

如果您喜欢这个想法，您可以在项目中为有用的mixin创建一个新的名称空间。你怎么看?

哦，顺便说一下，我认为大多数扩展方法都应该显式地测试null。

一些用于使用列表的扩展:

/// <summary>
/// Wrap an object in a list
/// </summary>
public static IList<T> WrapInList<T>(this T item)
{
    List<T> result = new List<T>();
    result.Add(item);
    return result;
}

使用如:

myList = someObject.InList();

使IEnumerable包含来自一个或多个源的项，以使IEnumerable更像列表。对于高性能代码来说，这可能不是一个好主意，但对于测试来说很有用:

public static IEnumerable<T> Append<T>(this IEnumerable<T> enumerable, T newItem)
{
    foreach (T item in enumerable)
    {
        yield return item;
    }

    yield return newItem;
}

public static IEnumerable<T> Append<T>(this IEnumerable<T> enumerable, params T[] newItems)
{
    foreach (T item in enumerable)
    {
        yield return item;
    }

    foreach (T newItem in newItems)
    {
        yield return newItem;
    }
}

如使用。

someEnumeration = someEnumeration.Append(newItem);

还有其他可能的变化——例如。

someEnumeration = someEnumeration.Append(otherEnumeration);

如果你正在克隆项目，你可能还想克隆它们的列表:

public static IList<T> Clone<T>(this IEnumerable<T> source) where T: ICloneable
{
    List<T> result = new List<T>();

    foreach (T item in source)
    {
        result.Add((T)item.Clone());
    }

    return result;
}

当我使用ObservableCollection<T>时，我通常使用AddRange方法扩展它。这里的其他答案给出了这个的实现。

如果您愿意，可以将此代码放入Codeplex项目中。

我的转换扩展，允许你做:

int i = myString.To<int>();

这是在TheSoftwareJedi.com上发布的

public static T To<T>(this IConvertible obj)
{
  return (T)Convert.ChangeType(obj, typeof(T));
}

public static T ToOrDefault<T>
             (this IConvertible obj)
{
    try
    {
        return To<T>(obj);
    }
    catch
    {
        return default(T);
    }
}

public static bool ToOrDefault<T>
                    (this IConvertible obj,
                     out T newObj)
{
    try
    {
        newObj = To<T>(obj); 
        return true;
    }
    catch
    {
        newObj = default(T); 
        return false;
    }
}

public static T ToOrOther<T>
                       (this IConvertible obj,
                       T other)
{
  try
  {
      return To<T>obj);
  }
  catch
  {
      return other;
  }
}

public static bool ToOrOther<T>
                         (this IConvertible obj,
                         out T newObj,
                         T other)
{
    try
    {
        newObj = To<T>(obj);
        return true;
    }
    catch
    {
        newObj = other;
        return false;
    }
}

public static T ToOrNull<T>
                      (this IConvertible obj)
                      where T : class
{
    try
    {
        return To<T>(obj);
    }
    catch
    {
        return null;
    }
}

public static bool ToOrNull<T>
                  (this IConvertible obj,
                  out T newObj)
                  where T : class
{
    try
    {
        newObj = To<T>(obj);
        return true;
    }
    catch
    {
        newObj = null;
        return false;
    }
}

您可以在失败时请求default(调用空白构造函数或“0”作为数字)，指定一个“default”值(我称之为“other”)，或请求null(其中T: class)。我还提供了两个静默异常模型和一个典型的TryParse模型，该模型返回一个bool值，指示所采取的操作，一个out参数保存新值。 我们的代码可以这样做

int i = myString.To<int>();
string a = myInt.ToOrDefault<string>();
//note type inference
DateTime d = myString.ToOrOther(DateTime.MAX_VALUE);
double d;
//note type inference
bool didItGiveDefault = myString.ToOrDefault(out d);
string s = myDateTime.ToOrNull<string>();

我不能让Nullable类型非常干净地滚入整个东西。我试了大约20分钟才认输。

而与MVC工作，有很多if语句，我只关心或真或假，打印null，或字符串。在另一种情况下，我想到了:

public static TResult WhenTrue<TResult>(this Boolean value, Func<TResult> expression)
{
    return value ? expression() : default(TResult);
}

public static TResult WhenTrue<TResult>(this Boolean value, TResult content)
{
    return value ? content : default(TResult);
}

public static TResult WhenFalse<TResult>(this Boolean value, Func<TResult> expression)
{
    return !value ? expression() : default(TResult);
}

public static TResult WhenFalse<TResult>(this Boolean value, TResult content)
{
    return !value ? content : default(TResult);
}

它允许我改变<%= (someBool) ?print y:字符串。将%>空为<%= someBool。WhenTrue("print y") %>。

我只在我的视图中使用它，在这里我混合了代码和HTML，在代码文件中编写“更长的”版本更清楚。

// This file contains extension methods for generic List<> class to operate on sorted lists.
// Duplicate values are OK.
// O(ln(n)) is still much faster then the O(n) of LINQ's searches/filters.
static partial class SortedList
{
    // Return the index of the first element with the key greater then provided.
    // If there's no such element within the provided range, it returns iAfterLast.
    public static int sortedFirstGreaterIndex<tElt, tKey>( this IList<tElt> list, Func<tElt, tKey, int> comparer, tKey key, int iFirst, int iAfterLast )
    {
        if( iFirst < 0 || iAfterLast < 0 || iFirst > list.Count || iAfterLast > list.Count )
            throw new IndexOutOfRangeException();
        if( iFirst > iAfterLast )
            throw new ArgumentException();
        if( iFirst == iAfterLast )
            return iAfterLast;

        int low = iFirst, high = iAfterLast;
        // The code below is inspired by the following article:
        // http://en.wikipedia.org/wiki/Binary_search#Single_comparison_per_iteration
        while( low < high )
        {
            int mid = ( high + low ) / 2;
            // 'mid' might be 'iFirst' in case 'iFirst+1 == iAfterLast'.
            // 'mid' will never be 'iAfterLast'.
            if( comparer( list[ mid ], key ) <= 0 ) // "<=" since we gonna find the first "greater" element
                low = mid + 1;
            else
                high = mid;
        }
        return low;
    }

    // Return the index of the first element with the key greater then the provided key.
    // If there's no such element, returns list.Count.
    public static int sortedFirstGreaterIndex<tElt, tKey>( this IList<tElt> list, Func<tElt, tKey, int> comparer, tKey key )
    {
        return list.sortedFirstGreaterIndex( comparer, key, 0, list.Count );
    }

    // Add an element to the sorted array.
    // This could be an expensive operation if frequently adding elements that sort firstly.
    // This is cheap operation when adding elements that sort near the tail of the list.
    public static int sortedAdd<tElt>( this List<tElt> list, Func<tElt, tElt, int> comparer, tElt elt )
    {
        if( list.Count == 0 || comparer( list[ list.Count - 1 ], elt ) <= 0 )
        {
            // either the list is empty, or the item is greater then all elements already in the collection.
            list.Add( elt );
            return list.Count - 1;
        }
        int ind = list.sortedFirstGreaterIndex( comparer, elt );
        list.Insert( ind, elt );
        return ind;
    }

    // Find first exactly equal element, return -1 if not found.
    public static int sortedFindFirstIndex<tElt, tKey>( this List<tElt> list, Func<tElt, tKey, int> comparer, tKey elt )
    {
        int low = 0, high = list.Count - 1;

        while( low < high )
        {
            int mid = ( high + low ) / 2;
            if( comparer( list[ mid ], elt ) < 0 )
                low = mid + 1;
            else
                high = mid; // this includes the case when we've found an element exactly matching the key
        }
        if( high >= 0 && 0 == comparer( list[ high ], elt ) )
            return high;
        return -1;
    }

    // Return the IEnumerable that returns array elements in the reverse order.
    public static IEnumerable<tElt> sortedReverse<tElt>( this List<tElt> list )
    {
        for( int i=list.Count - 1; i >= 0; i-- )
            yield return list[ i ];
    }
}

一些DataSet/DataRow扩展，使使用db结果更简单

只需在DataRow上使用. field ("fieldname")，如果可以，它将强制转换它，可选的默认值可以包括在内。

还有DataSet上的. hasrows()，这样你就不需要检查表和行的存在。

例子:

using (DataSet ds = yourcall()) 
{
  if (ds.HasRows())
  {
     foreach (DataRow dr in ds.Tables[0].Rows)
     {
        int id = dr.Field<int>("ID");
        string name = dr.Field<string>("Name");
        string Action = dr.Field<string>("Action", "N/A");
     }
  }
}

代码:

using System;
using System.Data;

public static class DataSetExtensions
{
    public static T Field<T>(this DataRow row, string columnName, T defaultValue)
    {
        try
        {
            return row.Field<T>(columnName);
        }
        catch
        {
            return defaultValue;
        }
    }

    public static T Field<T>(this DataRow row, string columnName)
    {
        if (row[columnName] == null)
            throw new NullReferenceException(columnName + " does not exist in DataRow");

        string value = row[columnName].ToString();

        if (typeof(T) == "".GetType())
        {
            return (T)Convert.ChangeType(value, typeof(T));
        }
        else if (typeof(T) == 0.GetType())
        {
            return (T)Convert.ChangeType(int.Parse(value), typeof(T));
        }
        else if (typeof(T) == false.GetType())
        {
            return (T)Convert.ChangeType(bool.Parse(value), typeof(T));
        }
        else if (typeof(T) == DateTime.Now.GetType())
        {
            return (T)Convert.ChangeType(DateTime.Parse(value), typeof(T));
        }
        else if (typeof(T) == new byte().GetType())
        {
            return (T)Convert.ChangeType(byte.Parse(value), typeof(T));
        }
        else if (typeof(T) == new float().GetType())
        {
            return (T)Convert.ChangeType(float.Parse(value), typeof(T));
        }
        else
        {
            throw new ArgumentException(string.Format("Cannot cast '{0}' to '{1}'.", value, typeof(T).ToString()));
        }
    }

    public static bool HasRows(this DataSet dataSet) 
    {
        return (dataSet.Tables.Count > 0 && dataSet.Tables[0].Rows.Count > 0);
    }
}