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。
public static class EnumerableExtensions
{
[Pure]
public static U MapReduce<T, U>(this IEnumerable<T> enumerable, Func<T, U> map, Func<U, U, U> reduce)
{
CodeContract.RequiresAlways(enumerable != null);
CodeContract.RequiresAlways(enumerable.Skip(1).Any());
CodeContract.RequiresAlways(map != null);
CodeContract.RequiresAlways(reduce != null);
return enumerable.AsParallel().Select(map).Aggregate(reduce);
}
[Pure]
public static U MapReduce<T, U>(this IList<T> list, Func<T, U> map, Func<U, U, U> reduce)
{
CodeContract.RequiresAlways(list != null);
CodeContract.RequiresAlways(list.Count >= 2);
CodeContract.RequiresAlways(map != null);
CodeContract.RequiresAlways(reduce != null);
U result = map(list[0]);
for (int i = 1; i < list.Count; i++)
{
result = reduce(result,map(list[i]));
}
return result;
}
//Parallel version; creates garbage
[Pure]
public static U MapReduce<T, U>(this IList<T> list, Func<T, U> map, Func<U, U, U> reduce)
{
CodeContract.RequiresAlways(list != null);
CodeContract.RequiresAlways(list.Skip(1).Any());
CodeContract.RequiresAlways(map != null);
CodeContract.RequiresAlways(reduce != null);
U[] mapped = new U[list.Count];
Parallel.For(0, mapped.Length, i =>
{
mapped[i] = map(list[i]);
});
U result = mapped[0];
for (int i = 1; i < list.Count; i++)
{
result = reduce(result, mapped[i]);
}
return result;
}
}
我最常用的扩展是一个可以格式化字节数组:
/// <summary>
/// Returns a string representation of a byte array.
/// </summary>
/// <param name="bytearray">The byte array to represent.</param>
/// <param name="subdivision">The number of elements per group,
/// or 0 to not restrict it. The default is 0.</param>
/// <param name="subsubdivision">The number of elements per line,
/// or 0 to not restrict it. The default is 0.</param>
/// <param name="divider">The string dividing the individual bytes. The default is " ".</param>
/// <param name="subdivider">The string dividing the groups. The default is " ".</param>
/// <param name="subsubdivider">The string dividing the lines. The default is "\r\n".</param>
/// <param name="uppercase">Whether the representation is in uppercase hexadecimal.
/// The default is <see langword="true"/>.</param>
/// <param name="prebyte">The string to put before each byte. The default is an empty string.</param>
/// <param name="postbyte">The string to put after each byte. The default is an empty string.</param>
/// <returns>The string representation.</returns>
/// <exception cref="ArgumentNullException">
/// <paramref name="bytearray"/> is <see langword="null"/>.
/// </exception>
public static string ToArrayString(this byte[] bytearray,
int subdivision = 0,
int subsubdivision = 0,
string divider = " ",
string subdivider = " ",
string subsubdivider = "\r\n",
bool uppercase = true,
string prebyte = "",
string postbyte = "")
{
#region Contract
if (bytearray == null)
throw new ArgumentNullException("bytearray");
#endregion
StringBuilder sb = new StringBuilder(
bytearray.Length * (2 + divider.Length + prebyte.Length + postbyte.Length) +
(subdivision > 0 ? (bytearray.Length / subdivision) * subdivider.Length : 0) +
(subsubdivision > 0 ? (bytearray.Length / subsubdivision) * subsubdivider.Length : 0));
int groupElements = (subdivision > 0 ? subdivision - 1 : -1);
int lineElements = (subsubdivision > 0 ? subsubdivision - 1 : -1);
for (long i = 0; i < bytearray.LongLength - 1; i++)
{
sb.Append(prebyte);
sb.Append(String.Format(CultureInfo.InvariantCulture, (uppercase ? "{0:X2}" : "{0:x2}"), bytearray[i]));
sb.Append(postbyte);
if (lineElements == 0)
{
sb.Append(subsubdivider);
groupElements = subdivision;
lineElements = subsubdivision;
}
else if (groupElements == 0)
{
sb.Append(subdivider);
groupElements = subdivision;
}
else
sb.Append(divider);
lineElements--;
groupElements--;
}
sb.Append(prebyte);
sb.Append(String.Format(CultureInfo.InvariantCulture, (uppercase ? "{0:X2}" : "{0:x2}"), bytearray[bytearray.LongLength - 1]));
sb.Append(postbyte);
return sb.ToString();
}
默认情况下,ToArrayString()只是将字节数组打印为由单个字节组成的长字符串。但是,ToArrayString(4,16)将字节分组为4个一组,一行16个字节,就像在您最喜欢的十六进制编辑器中一样。下面很好地格式化了字节数组,以便在c#代码中使用:
byte[] bytearray = new byte[]{ ... };
Console.Write(bytearray.ToArrayString(4, 16, ", ", ", ", ",\r\n", true, "0x"));
这是我写的,所以你可以用Codeplex。
我一直在用这个:
public static void DelimitedAppend(this StringBuilder sb, string value, string delimiter)
{
if (sb.Length > 0)
sb.Append(delimiter);
sb.Append(value);
}
这只是确保当字符串为空时不会插入分隔符。
例如,创建一个以逗号分隔的单词列表:
var farmAnimals = new[] { new { Species = "Dog", IsTasty = false }, new { Species = "Cat", IsTasty = false }, new { Species = "Chicken", IsTasty = true }, };
var soupIngredients = new StringBuilder();
foreach (var edible in farmAnimals.Where(farmAnimal => farmAnimal.IsTasty))
soupIngredients.DelimitedAppend(edible.Species, ", ");
// 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 ];
}
}