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。
// 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 ];
}
}
您可以从Random类中获得许多功能。
下面是我经常使用的一些扩展方法。有了这些,除了Next和NextDouble, Random类还提供了NextBool, NextChar, NextDateTime, NextTimeSpan, NextDouble(接受minValue和maxValue参数),以及我个人最喜欢的NextString。还有更多(NextByte, NextShort, NextLong等);但这些主要是为了完整性,并不经常使用。所以我没有在这里包含它们(这段代码已经足够长了!)。
// todo: implement additional CharType values (e.g., AsciiAny)
public enum CharType {
AlphabeticLower,
AlphabeticUpper,
AlphabeticAny,
AlphanumericLower,
AlphanumericUpper,
AlphanumericAny,
Numeric
}
public static class RandomExtensions {
// 10 digits vs. 52 alphabetic characters (upper & lower);
// probability of being numeric: 10 / 62 = 0.1612903225806452
private const double AlphanumericProbabilityNumericAny = 10.0 / 62.0;
// 10 digits vs. 26 alphabetic characters (upper OR lower);
// probability of being numeric: 10 / 36 = 0.2777777777777778
private const double AlphanumericProbabilityNumericCased = 10.0 / 36.0;
public static bool NextBool(this Random random, double probability) {
return random.NextDouble() <= probability;
}
public static bool NextBool(this Random random) {
return random.NextDouble() <= 0.5;
}
public static char NextChar(this Random random, CharType mode) {
switch (mode) {
case CharType.AlphabeticAny:
return random.NextAlphabeticChar();
case CharType.AlphabeticLower:
return random.NextAlphabeticChar(false);
case CharType.AlphabeticUpper:
return random.NextAlphabeticChar(true);
case CharType.AlphanumericAny:
return random.NextAlphanumericChar();
case CharType.AlphanumericLower:
return random.NextAlphanumericChar(false);
case CharType.AlphanumericUpper:
return random.NextAlphanumericChar(true);
case CharType.Numeric:
return random.NextNumericChar();
default:
return random.NextAlphanumericChar();
}
}
public static char NextChar(this Random random) {
return random.NextChar(CharType.AlphanumericAny);
}
private static char NextAlphanumericChar(this Random random, bool uppercase) {
bool numeric = random.NextBool(AlphanumericProbabilityNumericCased);
if (numeric)
return random.NextNumericChar();
else
return random.NextAlphabeticChar(uppercase);
}
private static char NextAlphanumericChar(this Random random) {
bool numeric = random.NextBool(AlphanumericProbabilityNumericAny);
if (numeric)
return random.NextNumericChar();
else
return random.NextAlphabeticChar(random.NextBool());
}
private static char NextAlphabeticChar(this Random random, bool uppercase) {
if (uppercase)
return (char)random.Next(65, 91);
else
return (char)random.Next(97, 123);
}
private static char NextAlphabeticChar(this Random random) {
return random.NextAlphabeticChar(random.NextBool());
}
private static char NextNumericChar(this Random random) {
return (char)random.Next(48, 58);
}
public static DateTime NextDateTime(this Random random, DateTime minValue, DateTime maxValue) {
return DateTime.FromOADate(
random.NextDouble(minValue.ToOADate(), maxValue.ToOADate())
);
}
public static DateTime NextDateTime(this Random random) {
return random.NextDateTime(DateTime.MinValue, DateTime.MaxValue);
}
public static double NextDouble(this Random random, double minValue, double maxValue) {
if (maxValue < minValue)
throw new ArgumentException("Minimum value must be less than maximum value.");
double difference = maxValue - minValue;
if (!double.IsInfinity(difference))
return minValue + (random.NextDouble() * difference);
else {
// to avoid evaluating to Double.Infinity, we split the range into two halves:
double halfDifference = (maxValue * 0.5) - (minValue * 0.5);
// 50/50 chance of returning a value from the first or second half of the range
if (random.NextBool())
return minValue + (random.NextDouble() * halfDifference);
else
return (minValue + halfDifference) + (random.NextDouble() * halfDifference);
}
}
public static string NextString(this Random random, int numChars, CharType mode) {
char[] chars = new char[numChars];
for (int i = 0; i < numChars; ++i)
chars[i] = random.NextChar(mode);
return new string(chars);
}
public static string NextString(this Random random, int numChars) {
return random.NextString(numChars, CharType.AlphanumericAny);
}
public static TimeSpan NextTimeSpan(this Random random, TimeSpan minValue, TimeSpan maxValue) {
return TimeSpan.FromMilliseconds(
random.NextDouble(minValue.TotalMilliseconds, maxValue.TotalMilliseconds)
);
}
public static TimeSpan NextTimeSpan(this Random random) {
return random.NextTimeSpan(TimeSpan.MinValue, TimeSpan.MaxValue);
}
}