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

我的建议:

public static bool IsNullOrEmpty(this ICollection obj)
{
  return (obj == null || obj.Count == 0);
}

使用集合和数组:

bool isNullOrEmpty = array.IsNullOrEmpty()

而不是

bool isNullOrEmpty = array == null || array.Length == 0;

其他回答

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。

我厌倦了乏味的空检查,而拉值从MySqlDataReader,所以:

public static DateTime? GetNullableDateTime(this MySqlDataReader dr, string fieldName)
{
    DateTime? nullDate = null;
    return dr.IsDBNull(dr.GetOrdinal(fieldName)) ? nullDate : dr.GetDateTime(fieldName);
}

public static string GetNullableString(this MySqlDataReader dr, string fieldName)
{
    return dr.IsDBNull(dr.GetOrdinal(fieldName)) ? String.Empty : dr.GetString(fieldName);
}

public static char? GetNullableChar(this MySqlDataReader dr, string fieldName)
{
    char? nullChar = null;
    return dr.IsDBNull(dr.GetOrdinal(fieldName)) ? nullChar : dr.GetChar(fieldName);
}

当然,这可以用于任何SqlDataReader。


hangy和Joe都对如何做到这一点提出了一些很好的意见,我也有机会在不同的环境中实现类似的东西,所以这里是另一个版本:

public static int? GetNullableInt32(this IDataRecord dr, int ordinal)
{
    int? nullInt = null;
    return dr.IsDBNull(ordinal) ? nullInt : dr.GetInt32(ordinal);
}

public static int? GetNullableInt32(this IDataRecord dr, string fieldname)
{
    int ordinal = dr.GetOrdinal(fieldname);
    return dr.GetNullableInt32(ordinal);
}

public static bool? GetNullableBoolean(this IDataRecord dr, int ordinal)
{
    bool? nullBool = null;
    return dr.IsDBNull(ordinal) ? nullBool : dr.GetBoolean(ordinal);
}

public static bool? GetNullableBoolean(this IDataRecord dr, string fieldname)
{
    int ordinal = dr.GetOrdinal(fieldname);
    return dr.GetNullableBoolean(ordinal);
}
// 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 ];
    }
}

我创建了一个漂亮的Each扩展,具有与jQuery的Each函数相同的行为。

它允许如下所示,你可以获得当前值的索引,并通过返回false跳出循环:

new[] { "first", "second", "third" }.Each((value, index) =>
{
    if (value.Contains("d"))
        return false;
    Console.Write(value);
    return true;
});

下面是代码

/// <summary>
/// Generic iterator function that is useful to replace a foreach loop with at your discretion.  A provided action is performed on each element.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="source"></param>
/// <param name="action">Function that takes in the current value in the sequence. 
/// <returns></returns>
public static IEnumerable<T> Each<T>(this IEnumerable<T> source, Action<T> action)
{
    return source.Each((value, index) =>
    {
        action(value);
        return true;
    });
}


/// <summary>
/// Generic iterator function that is useful to replace a foreach loop with at your discretion.  A provided action is performed on each element.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="source"></param>
/// <param name="action">Function that takes in the current value and its index in the sequence.  
/// <returns></returns>
public static IEnumerable<T> Each<T>(this IEnumerable<T> source, Action<T, int> action)
{
    return source.Each((value, index) =>
    {
        action(value, index);
        return true;
    });
}

/// <summary>
/// Generic iterator function that is useful to replace a foreach loop with at your discretion.  A provided action is performed on each element.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="source"></param>
/// <param name="action">Function that takes in the current value in the sequence.  Returns a value indicating whether the iteration should continue.  So return false if you don't want to iterate anymore.</param>
/// <returns></returns>
public static IEnumerable<T> Each<T>(this IEnumerable<T> source, Func<T, bool> action)
{
    return source.Each((value, index) =>
    {
        return action(value);
    });
}

/// <summary>
/// Generic iterator function that is useful to replace a foreach loop with at your discretion.  A provided action is performed on each element.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="source"></param>
/// <param name="action">Function that takes in the current value and its index in the sequence.  Returns a value indicating whether the iteration should continue.  So return false if you don't want to iterate anymore.</param>
/// <returns></returns>
public static IEnumerable<T> Each<T>(this IEnumerable<T> source, Func<T, int, bool> action)
{
    if (source == null)
        return source;

    int index = 0;
    foreach (var sourceItem in source)
    {
        if (!action(sourceItem, index))
            break;
        index++;
    }
    return source;
}

在这里找到更多的例子:www.extensionmethod.net