IEnumerable < >洗牌

我用Fisher-Yates算法实现了一个shuffle函数。

通过使用yield return和将代码分解为两个函数，它实现了适当的参数验证和延迟执行。(谢谢丹，在我的第一个版本中指出了这个缺陷)

static public IEnumerable<T> Shuffle<T>(this IEnumerable<T> source)
{
    if (source == null) throw new ArgumentNullException("source");

    return ShuffleIterator(source);
}

static private IEnumerable<T> ShuffleIterator<T>(this IEnumerable<T> source)
{
    T[] array = source.ToArray();
    Random rnd = new Random();          
    for (int n = array.Length; n > 1;)
    {
        int k = rnd.Next(n--); // 0 <= k < n

        //Swap items
        if (n != k)
        {
            T tmp = array[k];
            array[k] = array[n];
            array[n] = tmp;
        }
    }

    foreach (var item in array) yield return item;
}

相当于Python的Join方法:

/// <summary>
/// same as python 'join'
/// </summary>
/// <typeparam name="T">list type</typeparam>
/// <param name="separator">string separator </param>
/// <param name="list">list of objects to be ToString'd</param>
/// <returns>a concatenated list interleaved with separators</returns>
static public string Join<T>(this string separator, IEnumerable<T> list)
{
    var sb = new StringBuilder();
    bool first = true;

    foreach (T v in list)
    {
        if (!first)
            sb.Append(separator);
        first = false;

        if (v != null)
            sb.Append(v.ToString());
    }

    return sb.ToString();
}

static string Format( this string str,
                    , params Expression<Func<string,object>>[] args)
{
    var parameters = args.ToDictionary
                        ( e=>string.Format("{{{0}}}",e.Parameters[0].Name)
                        , e=>e.Compile()(e.Parameters[0].Name));

    var sb = new StringBuilder(str);
    foreach(var kv in parameters)
    {
        sb.Replace( kv.Key
                  , kv.Value != null ? kv.Value.ToString() : "");
    }

    return sb.ToString();
}

有了上面的扩展，你可以这样写:

var str = "{foo} {bar} {baz}".Format(foo=>foo, bar=>2, baz=>new object());

你会得到"foo 2 System.Object"。

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");

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);
    }
}

我喜欢下面这些方法来处理带有Flags属性集的枚举:

public static bool AnyOf(this object mask, object flags)
{
    return ((int)mask & (int)flags) != 0;
}
public static bool AllOf(this object mask, object flags)
{
    return ((int)mask & (int)flags) == (int)flags;
}
public static object SetOn(this object mask, object flags)
{
    return (int)mask | (int)flags;
}
etc.

使用示例:

var options = SomeOptions.OptionA;
options = options.SetOn(OptionB);
options = options.SetOn(OptionC);

if (options.AnyOf(SomeOptions.OptionA | SomeOptions.OptionB))
{
etc.

原始方法来自本文:http://www.codeproject.com/KB/cs/masksandflags.aspx?display=Print 我只是把它们转换成扩展方法。

但它们的一个问题是对象类型的参数，这意味着所有对象最终都被这些方法扩展，而理想情况下，它们应该只应用于枚举。

更新 根据评论，你可以绕过“签名污染”，以牺牲性能为代价，如下所示:

public static bool AnyOf(this Enum mask, object flags)
{
    return (Convert.ToInt642(mask) & (int)flags) != 0;
}