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

// Checks for an empty collection, and sends the value set in the default constructor for the desired field
public static TResult MinGuarded<T, TResult>(this IEnumerable<T> items, Func<T, TResult> expression) where T : new() {
    if(items.IsEmpty()) {
        return (new List<T> { new T() }).Min(expression);
    }
    return items.Min(expression);
}

// Checks for an empty collection, and sends the value set in the default constructor for the desired field
public static TResult MaxGuarded<T, TResult>(this IEnumerable<T> items, Func<T, TResult> expression) where T : new() {
    if(items.IsEmpty()) {
        return (new List<T> { new T() }).Max(expression);
    }
    return items.Max(expression);
}

我不确定是否有更好的方法来做到这一点,但这个扩展是非常有用的,每当我想要控制我的对象中的字段的默认值。 例如,如果我想控制DateTime的值,并希望根据我的业务逻辑进行设置,那么我可以在默认构造函数中这样做。否则,它将显示为DateTime.MinDate。

其他回答

// 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 ];
    }
}

这个还没有完全烤熟因为我们今天早上才想到。它将为Type生成一个完整的类定义。当您有一个大型类,想要创建一个子集或完整定义,但无法访问它的情况下非常有用。例如,将对象存储在数据库中等等。

public static class TypeExtensions
{
    public static string GenerateClassDefinition(this Type type)
    {
        var properties = type.GetFields();
        var sb = new StringBuilder();
        var classtext = @"private class $name
        {
         $props}";

        foreach (var p in GetTypeInfo(type))
        {
            sb.AppendFormat("  public {0} {1} ", p.Item2, p.Item1).AppendLine(" { get; set; }");
        }

        return classtext.Replace("$name", type.Name).Replace("$props", sb.ToString());
    }

    #region Private Methods
    private static List<Tuple<string, string>> GetTypeInfo(Type type)
    {
        var ret = new List<Tuple<string, string>>();
        var fields = type.GetFields();
        var props = type.GetProperties();

        foreach(var p in props) ret.Add(new Tuple<string, string>(p.Name, TranslateType(p.PropertyType)));    
        foreach(var f in fields) ret.Add(new Tuple<string, string>(f.Name, TranslateType(f.FieldType)));

        return ret;
    }


    private static string TranslateType(Type input)
    {
        string ret;

        if (Nullable.GetUnderlyingType(input) != null)
        {
            ret = string.Format("{0}?", TranslateType(Nullable.GetUnderlyingType(input)));
        }
        else
        {
            switch (input.Name)
            {
                case "Int32": ret = "int"; break;
                case "Int64": ret = "long"; break;
                case "IntPtr": ret = "long"; break;
                case "Boolean": ret = "bool"; break;
                case "String":
                case "Char":
                case "Decimal":
                    ret = input.Name.ToLower(); break;
                default: ret = input.Name; break;
            }
        }

        return ret;
    }
    #endregion
}

使用示例:

Process.GetProcesses().First().GetType().GenerateClassDefinition();

如果使用linqpad,变得更加方便:

Process.GetProcesses().First().GetType().GenerateClassDefinition().Dump();

我使用这个扩展方法通常与匿名类型,以获得一个字典ala ruby

public static Dictionary<string, object> ToDictionary(this object o)
{
    var dictionary = new Dictionary<string, object>();

    foreach (var propertyInfo in o.GetType().GetProperties())
    {
        if (propertyInfo.GetIndexParameters().Length == 0)
        {
            dictionary.Add(propertyInfo.Name, propertyInfo.GetValue(o, null));
        }
    }

    return dictionary;
}

你可以使用它

var dummy = new { color = "#000000", width = "100%", id = "myid" };
Dictionary<string, object> dict = dummy.ToDictionary();

用扩展的方法

public static void ForEach<T>(this IEnumerable<T> source, Action<T> action)
{
    foreach (T item in source)
    {
        action(item);
    }
}

你可以做到的

dummy.ToDictionary().ForEach((p) => Console.Write("{0}='{1}' ", p.Key, p.Value));

输出

Color ='#000000' width='100%' id='myid'

我今天刚刚在博客上写了这个。它是INotifyPropertyChanged属性周围的强类型响应式包装器。

GetPropertyValues返回一个IObservable<T>的值,当它们改变时,从当前值开始。如果忽略当前值,可以对结果调用Skip(1)。

用法如下:

IObservable<int> values = viewModel.GetPropertyValues(x => x.IntProperty);

实现:

public static class NotifyPropertyChangeReactiveExtensions
{
    // Returns the values of property (an Expression) as they change, 
    // starting with the current value
    public static IObservable<TValue> GetPropertyValues<TSource, TValue>(
        this TSource source, Expression<Func<TSource, TValue>> property)
        where TSource : INotifyPropertyChanged
    {
        MemberExpression memberExpression = property.Body as MemberExpression;

        if (memberExpression == null)
        {
            throw new ArgumentException(
                "property must directly access a property of the source");
        }

        string propertyName = memberExpression.Member.Name;

        Func<TSource, TValue> accessor = property.Compile();

        return source.GetPropertyChangedEvents()
            .Where(x => x.EventArgs.PropertyName == propertyName)
            .Select(x => accessor(source))
            .StartWith(accessor(source));
    }

    // This is a wrapper around FromEvent(PropertyChanged)
    public static IObservable<IEvent<PropertyChangedEventArgs>>
        GetPropertyChangedEvents(this INotifyPropertyChanged source)
    {
        return Observable.FromEvent<PropertyChangedEventHandler, 
            PropertyChangedEventArgs>(
            h => new PropertyChangedEventHandler(h),
            h => source.PropertyChanged += h,
            h => source.PropertyChanged -= h);
    }
}

灵感来自弦。IsNullOrEmpty

要验证给定的List为空或空

public static bool IsNullOrEmpty<TSource>(this List<TSource> src)
{            
    return (src == null || src.Count == 0);
}

这个是验证给定的两个文件和属性

public static bool Compare(this FileInfo f1, FileInfo f2, string propertyName)
{
    try
    {
        PropertyInfo p1 = f1.GetType().GetProperty(propertyName);
        PropertyInfo p2 = f2.GetType().GetProperty(propertyName);

        if (p1.GetValue(f1, null) == p2.GetValue(f1, null))
            return true;
    }
    catch (Exception ex)
    {
        return false;
    }
    return false;
}

像这样使用它

FileInfo fo = new FileInfo("c:\\netlog.txt");
FileInfo f1 = new FileInfo("c:\\regkey.txt");

fo.compare(f1, "CreationTime");