当使用键为字符串的字典时，使用不区分大小写的搜索返回现有的键。我们的用例是文件路径。

/// <summary>
/// Gets the key using <paramref name="caseInsensitiveKey"/> from <paramref name="dictionary"/>.
/// </summary>
/// <typeparam name="T">The dictionary value.</typeparam>
/// <param name="dictionary">The dictionary.</param>
/// <param name="caseInsensitiveKey">The case insensitive key.</param>
/// <returns>
/// An existing key; or <see cref="string.Empty"/> if not found.
/// </returns>
public static string GetKeyIgnoringCase<T>(this IDictionary<string, T> dictionary, string caseInsensitiveKey)
{
    if (string.IsNullOrEmpty(caseInsensitiveKey)) return string.Empty;
    foreach (string key in dictionary.Keys)
    {
        if (key.Equals(caseInsensitiveKey, StringComparison.InvariantCultureIgnoreCase))
        {
            return key;
        }
    }
    return string.Empty;
}

每n个字符换行一个字符串。

public static string WrapAt(this string str, int WrapPos)
{
    if (string.IsNullOrEmpty(str))
        throw new ArgumentNullException("str", "Cannot wrap a null string");
    str = str.Replace("\r", "").Replace("\n", "");

    if (str.Length <= WrapPos)
        return str;

    for (int i = str.Length; i >= 0; i--)
        if (i % WrapPos == 0 && i > 0 && i != str.Length)
            str = str.Insert(i, "\r\n");
    return str;
}

如果您使用财政年度，则有两个有用的扩展

/// <summary>
/// Returns the fiscal year for the passed in date
/// </summary>
/// <param name="value">the date</param>
/// <returns>the fiscal year</returns>
public static int FiscalYear(this DateTime value)
{
  int ret = value.Year;
  if (value.Month >= 7) ret++;
  return ret;
}

/// <summary>
/// Returns the fiscal year for the passed in date
/// </summary>
/// <param name="value">the date</param>
/// <returns>the fiscal year</returns>
public static string FiscalYearString(this DateTime value)
{
  int fy = FiscalYear(value);
  return "{0}/{1}".Format(fy - 1, fy);
}

没有检查整个线程，所以它可能已经在这里，但是:

public static class FluentOrderingExtensions
    public class FluentOrderer<T> : IEnumerable<T>
    {
        internal List<Comparison<T>> Comparers = new List<Comparison<T>>();

        internal IEnumerable<T> Source;

        public FluentOrderer(IEnumerable<T> source)
        {
            Source = source;
        }

        #region Implementation of IEnumerable

        public IEnumerator<T> GetEnumerator()
        {
            var workingArray = Source.ToArray();
            Array.Sort(workingArray, IterativeComparison);

            foreach(var element in workingArray) yield return element;
        }

        private int IterativeComparison(T a, T b)
        {
            foreach (var comparer in Comparers)
            {
                var result = comparer(a,b);
                if(result != 0) return result;
            }
            return 0;
        }

        IEnumerator IEnumerable.GetEnumerator()
        {
            return GetEnumerator();
        }

        #endregion
    }

    public static FluentOrderer<T> OrderFluentlyBy<T,TResult>(this IEnumerable<T> source, Func<T,TResult> predicate) 
        where TResult : IComparable<TResult>
    {
        var result = new FluentOrderer<T>(source);
        result.Comparers.Add((a,b)=>predicate(a).CompareTo(predicate(b)));
        return result;
    }

    public static FluentOrderer<T> OrderFluentlyByDescending<T,TResult>(this IEnumerable<T> source, Func<T,TResult> predicate) 
        where TResult : IComparable<TResult>
    {
        var result = new FluentOrderer<T>(source);
        result.Comparers.Add((a,b)=>predicate(a).CompareTo(predicate(b)) * -1);
        return result;
    }

    public static FluentOrderer<T> ThenBy<T, TResult>(this FluentOrderer<T> source, Func<T, TResult> predicate)
        where TResult : IComparable<TResult>
    {
        source.Comparers.Add((a, b) => predicate(a).CompareTo(predicate(b)));
        return source;
    }

    public static FluentOrderer<T> ThenByDescending<T, TResult>(this FluentOrderer<T> source, Func<T, TResult> predicate)
        where TResult : IComparable<TResult>
    {
        source.Comparers.Add((a, b) => predicate(a).CompareTo(predicate(b)) * -1);
        return source;
    }
}

用法:

var myFluentlyOrderedList = GetABunchOfComplexObjects()
    .OrderFluentlyBy(x=>x.PropertyA)
    .ThenByDescending(x=>x.PropertyB)
    .ThenBy(x=>x.SomeMethod())
    .ThenBy(x=>SomeOtherMethodAppliedTo(x))
    .ToList();

．.． 当然，假设所有的谓词都返回与自身icomcomparable的类型。如果使用像MergeSort这样的稳定排序，而不是。net内置的快速排序，它会更好地工作，但它提供了类似于SQL的可读多字段排序能力(无论如何，它是方法链所能获得的最接近的功能)。您可以通过定义重载来接受比较lambda，而不是基于谓词创建它，从而扩展它以容纳非IComparable的成员。

EDIT: A little explanation, since the commenter got some upticks: this set of methods improves upon the basic OrderBy() functionality by allowing you to sort based on multiple fields in descending order of importance. A real-world example would be sorting a list of invoices by customer, then by invoice number (or invoice date). Other methods of getting the data in this order either wouldn't work (OrderBy() uses an unstable sort, so it cannot be chained) or would be inefficient and not look like it does what you're trying to do.

如果有Unix时间戳和ISO 8601格式的日期和时间就太好了。大量用于网站和休息服务。

我在我的Facebook图书馆里使用它。你可以找到源代码http://github.com/prabirshrestha/FacebookSharp/blob/master/src/FacebookSharp.Core/FacebookUtils/DateUtils.cs

private static readonly DateTime EPOCH = DateTime.SpecifyKind(new DateTime(1970, 1, 1, 0, 0, 0, 0),DateTimeKind.Utc);

public static DateTime FromUnixTimestamp(long timestamp)
{
    return EPOCH.AddSeconds(timestamp);
}

public static long ToUnixTimestamp(DateTime date)
{
    TimeSpan diff = date.ToUniversalTime() - EPOCH;
    return (long)diff.TotalSeconds;
}

public static DateTime FromIso8601FormattedDateTime(string iso8601DateTime){
    return DateTime.ParseExact(iso8601DateTime, "o", System.Globalization.CultureInfo.InvariantCulture);
}

public static string ToIso8601FormattedDateTime(DateTime dateTime)
{
    return dateTime.ToString("o");
}

请随意在codeplex项目中使用。

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;
    }

}