C# 可排序集合,允许重复键

发布于 2024-11-02 16:49:59 字数 506 浏览 7 评论 0 原文

我正在编写一个程序来设置各种对象在报告中出现的顺序。 该序列是 Excel 电子表格上的 Y 位置(单元格)。

代码的演示部分如下。 我想要完成的是拥有一个集合,它允许我添加多个对象,并且我可以根据

SortedList list = new SortedList();

Header h = new Header();
h.XPos = 1;
h.name = "Header_1";
list.Add(h.XPos, h);

h = new Header();
h.XPos = 1;
h.name = "Header_2";
list.Add(h.XPos, h);

我知道 SortedList 不允许这样做的顺序获得一个排序的集合,我已经寻找替代品。我不想消除重复项,并且已经尝试过List>

谢谢。

I am writing a program to set a sequence in which various objects will appear in report.
The sequence is the Y position (cell) on Excel spreadsheet.

A demo part of code is below.
What I want to accomplish is to have a collection, which will allow me to add multiple objects and I can get a sorted collection based on the sequence

SortedList list = new SortedList();

Header h = new Header();
h.XPos = 1;
h.name = "Header_1";
list.Add(h.XPos, h);

h = new Header();
h.XPos = 1;
h.name = "Header_2";
list.Add(h.XPos, h);

I know that the SortedList will not allow this and I have been searching for alternate. I don't want to eliminate the duplicates and already tried List<KeyValuePair<int, object>>.

Thanks.

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评论(16

夜深人未静 2024-11-09 16:49:59

使用您自己的 IComparer!

就像其他一些答案中已经指出的那样,您应该使用您自己的比较器类。为此,我使用一个通用的 IComparer 类,它可以与任何实现 IComparable 的对象一起使用:

/// <summary>
/// Comparer for comparing two keys, handling equality as beeing greater
/// Use this Comparer e.g. with SortedLists or SortedDictionaries, that don't allow duplicate keys
/// </summary>
/// <typeparam name="TKey"></typeparam>
public class DuplicateKeyComparer<TKey>
                :
             IComparer<TKey> where TKey : IComparable
{
    #region IComparer<TKey> Members

    public int Compare(TKey x, TKey y)
    {
        int result = x.CompareTo(y);

        if (result == 0)
            return 1; // Handle equality as being greater. Note: this will break Remove(key) or
        else          // IndexOfKey(key) since the comparer never returns 0 to signal key equality
            return result;
    }

    #endregion
}

在实例化新的 SortedList、SortedDictionary 等时将使用它:

SortedList<int, MyValueClass> slist = new SortedList<int, MyValueClass>(new DuplicateKeyComparer<int>());

这里 int 是可以重复的键。

Use your own IComparer!

Like already stated in some other answers, you should use your own comparer class. For this sake I use a generic IComparer class, that works with anything that implements IComparable:

/// <summary>
/// Comparer for comparing two keys, handling equality as beeing greater
/// Use this Comparer e.g. with SortedLists or SortedDictionaries, that don't allow duplicate keys
/// </summary>
/// <typeparam name="TKey"></typeparam>
public class DuplicateKeyComparer<TKey>
                :
             IComparer<TKey> where TKey : IComparable
{
    #region IComparer<TKey> Members

    public int Compare(TKey x, TKey y)
    {
        int result = x.CompareTo(y);

        if (result == 0)
            return 1; // Handle equality as being greater. Note: this will break Remove(key) or
        else          // IndexOfKey(key) since the comparer never returns 0 to signal key equality
            return result;
    }

    #endregion
}

You will use it when instancing a new SortedList, SortedDictionary etc:

SortedList<int, MyValueClass> slist = new SortedList<int, MyValueClass>(new DuplicateKeyComparer<int>());

Here int is the key that can be duplicate.

凝望流年 2024-11-09 16:49:59

您可以安全地使用 List<> 。 List 有一个 Sort 方法,其重载接受 IComparer。您可以创建自己的排序器类,如 .这是一个例子:

private List<Curve> Curves;
this.Curves.Sort(new CurveSorter());

public class CurveSorter : IComparer<Curve>
{
    public int Compare(Curve c1, Curve c2)
    {
        return c2.CreationTime.CompareTo(c1.CreationTime);
    }
}

You can safely use List<> . The List has a Sort method , an overload of which accepts IComparer. You can create your own sorter class as . Here's an example :

private List<Curve> Curves;
this.Curves.Sort(new CurveSorter());

public class CurveSorter : IComparer<Curve>
{
    public int Compare(Curve c1, Curve c2)
    {
        return c2.CreationTime.CompareTo(c1.CreationTime);
    }
}
浅紫色的梦幻 2024-11-09 16:49:59

我使用以下内容:

public class TupleList<T1, T2> : List<Tuple<T1, T2>> where T1 : IComparable
{
    public void Add(T1 item, T2 item2)
    {
        Add(new Tuple<T1, T2>(item, item2));
    }

    public new void Sort()
    {
        Comparison<Tuple<T1, T2>> c = (a, b) => a.Item1.CompareTo(b.Item1);
        base.Sort(c);
    }

}

我的测试用例:

[TestMethod()]
    public void SortTest()
    {
        TupleList<int, string> list = new TupleList<int, string>();
        list.Add(1, "cat");
        list.Add(1, "car");
        list.Add(2, "dog");
        list.Add(2, "door");
        list.Add(3, "elephant");
        list.Add(1, "coconut");
        list.Add(1, "cab");
        list.Sort();
        foreach(Tuple<int, string> tuple in list)
        {
            Console.WriteLine(string.Format("{0}:{1}", tuple.Item1,tuple.Item2));
        }
        int expected_first = 1;
        int expected_last = 3;
        int first = list.First().Item1;  //requires using System.Linq
        int last = list.Last().Item1;    //requires using System.Linq
        Assert.AreEqual(expected_first, first);
        Assert.AreEqual(expected_last, last);
    }

输出:

1:cab
1:coconut
1:car
1:cat
2:door
2:dog
3:elephant

I use the following:

public class TupleList<T1, T2> : List<Tuple<T1, T2>> where T1 : IComparable
{
    public void Add(T1 item, T2 item2)
    {
        Add(new Tuple<T1, T2>(item, item2));
    }

    public new void Sort()
    {
        Comparison<Tuple<T1, T2>> c = (a, b) => a.Item1.CompareTo(b.Item1);
        base.Sort(c);
    }

}

My test case:

[TestMethod()]
    public void SortTest()
    {
        TupleList<int, string> list = new TupleList<int, string>();
        list.Add(1, "cat");
        list.Add(1, "car");
        list.Add(2, "dog");
        list.Add(2, "door");
        list.Add(3, "elephant");
        list.Add(1, "coconut");
        list.Add(1, "cab");
        list.Sort();
        foreach(Tuple<int, string> tuple in list)
        {
            Console.WriteLine(string.Format("{0}:{1}", tuple.Item1,tuple.Item2));
        }
        int expected_first = 1;
        int expected_last = 3;
        int first = list.First().Item1;  //requires using System.Linq
        int last = list.Last().Item1;    //requires using System.Linq
        Assert.AreEqual(expected_first, first);
        Assert.AreEqual(expected_last, last);
    }

The output:

1:cab
1:coconut
1:car
1:cat
2:door
2:dog
3:elephant
故事未完 2024-11-09 16:49:59

问题是数据结构设计不符合需求:同一个XPos需要存储多个Header。因此,SortedList 不应具有 Header 值,而应具有 List

值。这是一个简单而小的改变,但它解决了所有问题,并避免像其他建议的解决方案一样产生新问题(参见下面的解释):

using System;
using System.Collections.Generic;

namespace TrySortedList {
  class Program {

    class Header {
      public int XPos;
      public string Name;
    }

    static void Main(string[] args) {
      SortedList<int, List<Header>> sortedHeaders = new SortedList<int,List<Header>>();
      add(sortedHeaders, 1, "Header_1");
      add(sortedHeaders, 1, "Header_2");
      add(sortedHeaders, 2, "Header_3");
      foreach (var headersKvp in sortedHeaders) {
        foreach (Header header in headersKvp.Value) {
          Console.WriteLine(header.XPos + ": " + header.Name);
        }
      }
    }

    private static void add(SortedList<int, List<Header>> sortedHeaders, int xPos, string name) {
      List<Header> headers;
      if (!sortedHeaders.TryGetValue(xPos, out headers)){
        headers = new List<Header>();
        sortedHeaders[xPos] = headers;
      }
      headers.Add(new Header { XPos = xPos, Name = name });
    }
  }
}

Output:
1: Header_1
1: Header_2
2: Header_3

请注意,添加一个“有趣”的密钥,例如添加一个随机数或假装 2 个 XPos 具有相同的值值不同会导致许多其他问题。例如,删除特定标头变得困难甚至不可能。

另请注意,如果只需要对少数 List

进行排序,则排序性能比每个 Header 都要好得多。示例:如果有 100 个 XPos,每个 XPos 有 100 个标头,则需要对 10000 个 Header 进行排序,而不是 100 个 List

当然,这种解决方案也有一个缺点:如果有很多 XPos 只有 1 个 Header,则需要创建很多 List,这是一些开销。

更新 22.12.2021

我终于找到时间编写一个名为 SortedBucketCollection 的正确集合,其行为类似于 SortedList。它为每个项目使用 2 个键,第一个与 SortedList 键相同,并且许多项目可以具有相同的值。第二个键用于区分具有相同 key1 值的项目。 SortedBucketCollection 使用的存储空间比 SortedList> 少,因为它为每个“存储桶”使用链表,而不是 List。 >

使用 SortedBucketCollection 的代码如下所示

namespace SortedBucketCollectionDemo {

  public record FinanceTransaction
  (int No, DateTime Date, string Description, decimal Amount);

  class Program {
    static void Main(string[] args) {
      //Constructing a SortedBucketCollection
      var transactions = 
        new SortedBucketCollection<DateTime, int, FinanceTransaction>
                                  (ft=>ft.Date, ft=>ft.No);
      var date1 = DateTime.Now.Date;

      //Adding an item to SortedBucketCollection
      transactions.Add(new FinanceTransaction(3, date1, "1.1", 1m));
      transactions.Add(new FinanceTransaction(1, date1, "1.2", 2m));
      transactions.Add(new FinanceTransaction(0, date1, "1.3", 3m));
      var date2 = date1.AddDays(-1);
      transactions.Add(new FinanceTransaction(1, date2, "2.1", 4m));
      transactions.Add(new FinanceTransaction(2, date2, "2.2", 5m));

      //Looping over all items in a SortedBucketCollection
      Console.WriteLine("foreach over all transactions");
      foreach (var transaction in transactions) {
        Console.WriteLine(transaction.ToString());
      }

      //Accessing one particular transaction
      var transaction12 = transactions[date1, 1];

      //Removing  a transaction
      transactions.Remove(transaction12!);

      //Accessing all items of one day
      Console.WriteLine();
      Console.WriteLine("foreach over transactions of one day");
      Console.WriteLine(date1);
      foreach (var transaction in transactions[date1]) {
        Console.WriteLine(transaction.ToString());
      }
    }
  }
}

第一个 foreach 的输出:

FinanceTransaction { No = 1, Date = 07.11.2021 00:00:00, Description = 2.1, Amount = 4 }
FinanceTransaction { No = 2, Date = 07.11.2021 00:00:00, Description = 2.2, Amount = 5 }
FinanceTransaction { No = 0, Date = 08.11.2021 00:00:00, Description = 1.3, Amount = 3 }
FinanceTransaction { No = 1, Date = 08.11.2021 00:00:00, Description = 1.2, Amount = 2 }
FinanceTransaction { No = 3, Date = 08.11.2021 00:00:00, Description = 1.1, Amount = 1 }

请注意,该项目不会按照添加顺序进行迭代,而是按其 key1key2 排序。

有关 SortedBucketCollection 和源代码的详细说明,请参阅我在 CodeProject 上的文章 SortedBucketCollection:一个内存高效的 SortedList,接受具有相同键的多个项目

The problem is that the data structure design doesn't match the requirements: It is necessary to store several Headers for the same XPos. Therefore, SortedList<XPos, value> should not have a value of Header, but a value of List<Header>. It's a simple and small change, but it solves all problems and avoids creating new problems like other suggested solutions (see explanation below):

using System;
using System.Collections.Generic;

namespace TrySortedList {
  class Program {

    class Header {
      public int XPos;
      public string Name;
    }

    static void Main(string[] args) {
      SortedList<int, List<Header>> sortedHeaders = new SortedList<int,List<Header>>();
      add(sortedHeaders, 1, "Header_1");
      add(sortedHeaders, 1, "Header_2");
      add(sortedHeaders, 2, "Header_3");
      foreach (var headersKvp in sortedHeaders) {
        foreach (Header header in headersKvp.Value) {
          Console.WriteLine(header.XPos + ": " + header.Name);
        }
      }
    }

    private static void add(SortedList<int, List<Header>> sortedHeaders, int xPos, string name) {
      List<Header> headers;
      if (!sortedHeaders.TryGetValue(xPos, out headers)){
        headers = new List<Header>();
        sortedHeaders[xPos] = headers;
      }
      headers.Add(new Header { XPos = xPos, Name = name });
    }
  }
}

Output:
1: Header_1
1: Header_2
2: Header_3

Please note that adding a "funny" key, like adding a random number or pretending that 2 XPos with the same value are different lead to many other problems. For example it becomes difficult or even impossible to remove a particular Header.

Also note that the sorting performance is much better if only few List<Header> have to be sorted than every Header. Example: If there are 100 XPos and each has 100 headers, 10000 Header need to be sorted as opposed to 100 List<Header>.

Of course, also this solution has a disadvantage: If there are many XPos with only 1 Header, as many Lists need to be created, which is some overhead.

Update 22.12.2021

I finally found time to write a proper collection called SortedBucketCollection, which behaves like a SortedList. It uses 2 keys for each item, the first is the same as a SortedList key and many items can have for that key the same value. The second key is used to differentiate items sharing the same values for key1. SortedBucketCollection uses less storage space than SortedList<int, List<Header>>, because it uses for each "bucket" a linked list and not a List<>.

Code using SortedBucketCollection looks like this:

using System;

namespace SortedBucketCollectionDemo {

  public record FinanceTransaction
  (int No, DateTime Date, string Description, decimal Amount);

  class Program {
    static void Main(string[] args) {
      //Constructing a SortedBucketCollection
      var transactions = 
        new SortedBucketCollection<DateTime, int, FinanceTransaction>
                                  (ft=>ft.Date, ft=>ft.No);
      var date1 = DateTime.Now.Date;

      //Adding an item to SortedBucketCollection
      transactions.Add(new FinanceTransaction(3, date1, "1.1", 1m));
      transactions.Add(new FinanceTransaction(1, date1, "1.2", 2m));
      transactions.Add(new FinanceTransaction(0, date1, "1.3", 3m));
      var date2 = date1.AddDays(-1);
      transactions.Add(new FinanceTransaction(1, date2, "2.1", 4m));
      transactions.Add(new FinanceTransaction(2, date2, "2.2", 5m));

      //Looping over all items in a SortedBucketCollection
      Console.WriteLine("foreach over all transactions");
      foreach (var transaction in transactions) {
        Console.WriteLine(transaction.ToString());
      }

      //Accessing one particular transaction
      var transaction12 = transactions[date1, 1];

      //Removing  a transaction
      transactions.Remove(transaction12!);

      //Accessing all items of one day
      Console.WriteLine();
      Console.WriteLine("foreach over transactions of one day");
      Console.WriteLine(date1);
      foreach (var transaction in transactions[date1]) {
        Console.WriteLine(transaction.ToString());
      }
    }
  }
}

Output of first foreach:

FinanceTransaction { No = 1, Date = 07.11.2021 00:00:00, Description = 2.1, Amount = 4 }
FinanceTransaction { No = 2, Date = 07.11.2021 00:00:00, Description = 2.2, Amount = 5 }
FinanceTransaction { No = 0, Date = 08.11.2021 00:00:00, Description = 1.3, Amount = 3 }
FinanceTransaction { No = 1, Date = 08.11.2021 00:00:00, Description = 1.2, Amount = 2 }
FinanceTransaction { No = 3, Date = 08.11.2021 00:00:00, Description = 1.1, Amount = 1 }

Note that the item are not iterated in the sequence they were added, but sorted by their key1 and key2.

For a detailed description of SortedBucketCollection and the source code see my article on CodeProject SortedBucketCollection: A memory efficient SortedList accepting multiple items with the same key

与风相奔跑 2024-11-09 16:49:59

最简单的解决方案(与上述所有解决方案相比):使用 SortedSet,它接受 IComparer 类,然后以这种方式实现 Compare 方法:

public int Compare(SomeClass x, SomeClass y)
{
    var compared = x.SomeSortableKeyTypeField.CompareTo(y.SomeSortableKeyTypeField);
    if (compared != 0)
        return compared;

    // to allow duplicates
    var hashCodeCompare = x.GetHashCode().CompareTo(y.GetHashCode());
    if (hashCodeCompare != 0)
        return hashCodeCompare;

    if (Object.ReferenceEquals(x, y))
        return 0;

    // for weird duplicate hashcode cases, throw as below or implement your last chance comparer
    throw new ComparisonFailureException();

}

Simplest solution (compared to all of the above): use SortedSet<T>, it accepts an IComparer<SortableKey> class, then implement the Compare method this way:

public int Compare(SomeClass x, SomeClass y)
{
    var compared = x.SomeSortableKeyTypeField.CompareTo(y.SomeSortableKeyTypeField);
    if (compared != 0)
        return compared;

    // to allow duplicates
    var hashCodeCompare = x.GetHashCode().CompareTo(y.GetHashCode());
    if (hashCodeCompare != 0)
        return hashCodeCompare;

    if (Object.ReferenceEquals(x, y))
        return 0;

    // for weird duplicate hashcode cases, throw as below or implement your last chance comparer
    throw new ComparisonFailureException();

}
毁虫ゝ 2024-11-09 16:49:59

非常感谢您的帮助。在进行更多搜索时,我找到了这个解决方案。 (可在 Stackoverflow.com 的其他问题中找到)

首先,我创建了一个类,它将封装我的类对象(页眉、页脚等),

public class MyPosition
{
    public int Position { get; set; }
    public object MyObjects{ get; set; }
}

因此该类应该保存对象,并且每个对象的 PosX 为 int Position

List<MyPosition> Sequence= new List<MyPosition>();
Sequence.Add(new MyPosition() { Position = 1, Headerobject });
Sequence.Add(new MyPosition() { Position = 2, Headerobject1 });
Sequence.Add(new MyPosition() { Position = 1, Footer });

League.Sort((PosA, PosB) => PosA.Position.CompareTo(PosB.Position));

What最终我得到的是排序的“序列”列表。

Thanks a lot for your help. While searching more, I found this solution. (Available in Stackoverflow.com in other question)

First, I created a class which would encapsulate my objects for classes (Headers,Footer etc)

public class MyPosition
{
    public int Position { get; set; }
    public object MyObjects{ get; set; }
}

So this class is supposed to hold on the objects, and PosX of each object goes as int Position

List<MyPosition> Sequence= new List<MyPosition>();
Sequence.Add(new MyPosition() { Position = 1, Headerobject });
Sequence.Add(new MyPosition() { Position = 2, Headerobject1 });
Sequence.Add(new MyPosition() { Position = 1, Footer });

League.Sort((PosA, PosB) => PosA.Position.CompareTo(PosB.Position));

What eventually I get is the sorted "Sequence" list.

墨离汐 2024-11-09 16:49:59

您是否尝试过允许重复键的 Lookup
http://msdn.microsoft.com/en-us/library/bb460184.aspx

Did you try Lookup<TKey, TElement> that will allow duplicate keys
http://msdn.microsoft.com/en-us/library/bb460184.aspx

嘴硬脾气大 2024-11-09 16:49:59

您可以使用 SortedList,使用 TKey 的值,以及 TValue 的 int(计数)。

这是一个示例:对单词字母进行排序的函数。

    private string sortLetters(string word)
    {
        var input = new System.Collections.Generic.SortedList<char, int>();

        foreach (var c in word.ToCharArray())
        {
            if (input.ContainsKey(c))
                input[c]++;
            else
                input.Add(c, 1);
        }

        var output = new StringBuilder();

        foreach (var kvp in input)
        {
            output.Append(kvp.Key, kvp.Value);
        }

        string s;

        return output.ToString();

    }

You can use the SortedList, use your value for the TKey, and int (count) for the TValue.

Here's a sample: A function that sorts the letters of a word.

    private string sortLetters(string word)
    {
        var input = new System.Collections.Generic.SortedList<char, int>();

        foreach (var c in word.ToCharArray())
        {
            if (input.ContainsKey(c))
                input[c]++;
            else
                input.Add(c, 1);
        }

        var output = new StringBuilder();

        foreach (var kvp in input)
        {
            output.Append(kvp.Key, kvp.Value);
        }

        string s;

        return output.ToString();

    }
攒一口袋星星 2024-11-09 16:49:59

该集合类将维护重复项并插入重复项的排序顺序。诀窍是用唯一值标记项目
因为它们被插入以保持稳定的排序顺序。然后我们把它全部包裹在一个
ICollection 接口。

public class SuperSortedSet<TValue> : ICollection<TValue>
{
    private readonly SortedSet<Indexed<TValue>> _Container;
    private int _Index = 0;
    private IComparer<TValue> _Comparer;

    public SuperSortedSet(IComparer<TValue> comparer)
    {
        _Comparer = comparer;
        var c2 = new System.Linq.Comparer<Indexed<TValue>>((p0, p1) =>
        {
            var r = _Comparer.Compare(p0.Value, p1.Value);
            if (r == 0)
            {
                if (p0.Index == -1
                    || p1.Index == -1)
                    return 0;

                return p0.Index.CompareTo(p1.Index);

            }
            else return r;
        });
        _Container = new SortedSet<Indexed<TValue>>(c2);
    } 

    public IEnumerator<TValue> GetEnumerator() { return _Container.Select(p => p.Value).GetEnumerator(); }

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

    public void Add(TValue item) { _Container.Add(Indexed.Create(_Index++, item)); }

    public void Clear() { _Container.Clear();}

    public bool Contains(TValue item) { return _Container.Contains(Indexed.Create(-1,item)); }

    public void CopyTo(TValue[] array, int arrayIndex)
    {
        foreach (var value in this)
        {
            if (arrayIndex >= array.Length)
            {
                throw new ArgumentException("Not enough space in array");
            }
            array[arrayIndex] = value;
            arrayIndex++;
        }
    }

    public bool Remove(TValue item) { return _Container.Remove(Indexed.Create(-1, item)); }

    public int Count {
        get { return _Container.Count; }
    }
    public bool IsReadOnly {
        get { return false; }
    }
}

测试类 标记

[Fact]
public void ShouldWorkWithSuperSortedSet()
{
    // Sort points according to X
    var set = new SuperSortedSet<Point2D>
        (new System.Linq.Comparer<Point2D>((p0, p1) => p0.X.CompareTo(p1.X)));

    set.Add(new Point2D(9,10));
    set.Add(new Point2D(1,25));
    set.Add(new Point2D(11,-10));
    set.Add(new Point2D(2,99));
    set.Add(new Point2D(5,55));
    set.Add(new Point2D(5,23));
    set.Add(new Point2D(11,11));
    set.Add(new Point2D(21,12));
    set.Add(new Point2D(-1,76));
    set.Add(new Point2D(16,21));

    var xs = set.Select(p=>p.X).ToList();
    xs.Should().BeInAscendingOrder();
    xs.Count.Should()
       .Be(10);
    xs.ShouldBeEquivalentTo(new[]{-1,1,2,5,5,9,11,11,16,21});

    set.Remove(new Point2D(5,55));
    xs = set.Select(p=>p.X).ToList();
    xs.Count.Should()
       .Be(9);
    xs.ShouldBeEquivalentTo(new[]{-1,1,2,5,9,11,11,16,21});

    set.Remove(new Point2D(5,23));
    xs = set.Select(p=>p.X).ToList();
    xs.Count.Should()
       .Be(8);
    xs.ShouldBeEquivalentTo(new[]{-1,1,2,9,11,11,16,21});

    set.Contains(new Point2D(11, 11))
       .Should()
       .BeTrue();

    set.Contains(new Point2D(-1, 76))
        .Should().BeTrue();

    // Note that the custom compartor function ignores the Y value
    set.Contains(new Point2D(-1, 66))
        .Should().BeTrue();

    set.Contains(new Point2D(27, 66))
        .Should().BeFalse();

}

结构

public struct Indexed<T>
{
    public int Index { get; private set; }
    public T Value { get; private set; }
    public Indexed(int index, T value) : this()
    {
        Index = index;
        Value = value;
    }

    public override string ToString()
    {
        return "(Indexed: " + Index + ", " + Value.ToString () + " )";
    }
}

public class Indexed
{
    public static Indexed<T> Create<T>(int indexed, T value)
    {
        return new Indexed<T>(indexed, value);
    }
}

lambda 比较器帮助器

public class Comparer<T> : IComparer<T>
{
    private readonly Func<T, T, int> _comparer;

    public Comparer(Func<T, T, int> comparer)
    {
        if (comparer == null)
            throw new ArgumentNullException("comparer");
        _comparer = comparer;
    }

    public int Compare(T x, T y)
    {
        return _comparer(x, y);
    }
}

This collection class will maintain duplicates and insert sort order for the duplicate. The trick is to tag the items with a unique value
as they are inserted to maintain a stable sort order. Then we wrap it all up in an
ICollection interface.

public class SuperSortedSet<TValue> : ICollection<TValue>
{
    private readonly SortedSet<Indexed<TValue>> _Container;
    private int _Index = 0;
    private IComparer<TValue> _Comparer;

    public SuperSortedSet(IComparer<TValue> comparer)
    {
        _Comparer = comparer;
        var c2 = new System.Linq.Comparer<Indexed<TValue>>((p0, p1) =>
        {
            var r = _Comparer.Compare(p0.Value, p1.Value);
            if (r == 0)
            {
                if (p0.Index == -1
                    || p1.Index == -1)
                    return 0;

                return p0.Index.CompareTo(p1.Index);

            }
            else return r;
        });
        _Container = new SortedSet<Indexed<TValue>>(c2);
    } 

    public IEnumerator<TValue> GetEnumerator() { return _Container.Select(p => p.Value).GetEnumerator(); }

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

    public void Add(TValue item) { _Container.Add(Indexed.Create(_Index++, item)); }

    public void Clear() { _Container.Clear();}

    public bool Contains(TValue item) { return _Container.Contains(Indexed.Create(-1,item)); }

    public void CopyTo(TValue[] array, int arrayIndex)
    {
        foreach (var value in this)
        {
            if (arrayIndex >= array.Length)
            {
                throw new ArgumentException("Not enough space in array");
            }
            array[arrayIndex] = value;
            arrayIndex++;
        }
    }

    public bool Remove(TValue item) { return _Container.Remove(Indexed.Create(-1, item)); }

    public int Count {
        get { return _Container.Count; }
    }
    public bool IsReadOnly {
        get { return false; }
    }
}

a test class

[Fact]
public void ShouldWorkWithSuperSortedSet()
{
    // Sort points according to X
    var set = new SuperSortedSet<Point2D>
        (new System.Linq.Comparer<Point2D>((p0, p1) => p0.X.CompareTo(p1.X)));

    set.Add(new Point2D(9,10));
    set.Add(new Point2D(1,25));
    set.Add(new Point2D(11,-10));
    set.Add(new Point2D(2,99));
    set.Add(new Point2D(5,55));
    set.Add(new Point2D(5,23));
    set.Add(new Point2D(11,11));
    set.Add(new Point2D(21,12));
    set.Add(new Point2D(-1,76));
    set.Add(new Point2D(16,21));

    var xs = set.Select(p=>p.X).ToList();
    xs.Should().BeInAscendingOrder();
    xs.Count.Should()
       .Be(10);
    xs.ShouldBeEquivalentTo(new[]{-1,1,2,5,5,9,11,11,16,21});

    set.Remove(new Point2D(5,55));
    xs = set.Select(p=>p.X).ToList();
    xs.Count.Should()
       .Be(9);
    xs.ShouldBeEquivalentTo(new[]{-1,1,2,5,9,11,11,16,21});

    set.Remove(new Point2D(5,23));
    xs = set.Select(p=>p.X).ToList();
    xs.Count.Should()
       .Be(8);
    xs.ShouldBeEquivalentTo(new[]{-1,1,2,9,11,11,16,21});

    set.Contains(new Point2D(11, 11))
       .Should()
       .BeTrue();

    set.Contains(new Point2D(-1, 76))
        .Should().BeTrue();

    // Note that the custom compartor function ignores the Y value
    set.Contains(new Point2D(-1, 66))
        .Should().BeTrue();

    set.Contains(new Point2D(27, 66))
        .Should().BeFalse();

}

The tagging struct

public struct Indexed<T>
{
    public int Index { get; private set; }
    public T Value { get; private set; }
    public Indexed(int index, T value) : this()
    {
        Index = index;
        Value = value;
    }

    public override string ToString()
    {
        return "(Indexed: " + Index + ", " + Value.ToString () + " )";
    }
}

public class Indexed
{
    public static Indexed<T> Create<T>(int indexed, T value)
    {
        return new Indexed<T>(indexed, value);
    }
}

The lambda comparer helper

public class Comparer<T> : IComparer<T>
{
    private readonly Func<T, T, int> _comparer;

    public Comparer(Func<T, T, int> comparer)
    {
        if (comparer == null)
            throw new ArgumentNullException("comparer");
        _comparer = comparer;
    }

    public int Compare(T x, T y)
    {
        return _comparer(x, y);
    }
}
眼趣 2024-11-09 16:49:59

问题是您使用的东西作为键而不是键(因为它出现多次)。

因此,如果您有真实的坐标,您应该采用 Point 作为 SortedList 的键。

或者您创建一个 List> ,其中第一个列表索引定义 x 位置,内部列表索引定义 y 位置(如果您愿意,反之亦然)。

The problem is that you use something as key that isn't a key (cause it occurs multiple times).

So if you have real coordinates you should maybe take the Point as the key for your SortedList.

Or you create a List<List<Header>> where your first list index defines the x-position and the inner list index the y-position (or vice versa if you like).

我为君王 2024-11-09 16:49:59

Linq.Lookup 很酷,但如果您的目标只是循环“键”,同时允许它们重复,您可以使用此结构:

List<KeyValuePair<String, String>> FieldPatterns = new List<KeyValuePair<string, string>>() {
   new KeyValuePair<String,String>("Address","CommonString"),
   new KeyValuePair<String,String>("Username","UsernamePattern"),
   new KeyValuePair<String,String>("Username","CommonString"),
};

然后您可以编写:

foreach (KeyValuePair<String,String> item in FieldPatterns)
{
   //use item.Key and item.Value
}

HTH

Linq.Lookup is cool and all, but if your target is to simply loop over the "keys" while allowing them to be duplicated you can use this structure:

List<KeyValuePair<String, String>> FieldPatterns = new List<KeyValuePair<string, string>>() {
   new KeyValuePair<String,String>("Address","CommonString"),
   new KeyValuePair<String,String>("Username","UsernamePattern"),
   new KeyValuePair<String,String>("Username","CommonString"),
};

Then you can write:

foreach (KeyValuePair<String,String> item in FieldPatterns)
{
   //use item.Key and item.Value
}

HTH

妳是的陽光 2024-11-09 16:49:59

关键(双关语)是创建一个基于 IComparable 的类,该类维护相等性和散列,但如果不相等则永远不会与 0 进行比较。这是可以完成的,并且可以通过一些好处来创建 - 稳定排序(即,首先添加到排序列表的值将保持其位置),并且 ToString() 可以简单地返回实际的键字符串值。

这是一个可以解决问题的结构键:

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading;

namespace System
{
    /// <summary>
    /// Defined in Totlsoft.Util.
    /// A key that will always be unique but compares
    /// primarily on the Key property, which is not required
    /// to be unique.
    /// </summary>
    public struct StableKey : IComparable<StableKey>, IComparable
    {
        private static long s_Next;
        private long m_Sequence;
        private IComparable m_Key;

        /// <summary>
        /// Defined in Totlsoft.Util.
        /// Constructs a StableKey with the given IComparable key.
        /// </summary>
        /// <param name="key"></param>
        public StableKey( IComparable key )
        {
            if( null == key )
                throw new ArgumentNullException( "key" );

            m_Sequence = Interlocked.Increment( ref s_Next );
            m_Key = key;
        }

        /// <summary>
        /// Overridden. True only if internal sequence and the
        /// Key are equal.
        /// </summary>
        /// <param name="obj"></param>
        /// <returns></returns>
        public override bool Equals( object obj )
        {
            if( !( obj is StableKey ) )
                return false;

            var dk = (StableKey)obj;

            return m_Sequence.Equals( dk.m_Sequence ) &&
                Key.Equals( dk.Key );
        }

        /// <summary>
        /// Overridden. Gets the hash code of the internal
        /// sequence and the Key.
        /// </summary>
        /// <returns></returns>
        public override int GetHashCode()
        {
            return m_Sequence.GetHashCode() ^ Key.GetHashCode();
        }

        /// <summary>
        /// Overridden. Returns Key.ToString().
        /// </summary>
        /// <returns></returns>
        public override string ToString()
        {
            return Key.ToString();
        }

        /// <summary>
        /// The key that will be compared on.
        /// </summary>
        public IComparable Key
        {
            get
            {
                if( null == m_Key )
                    return 0;

                return m_Key;
            }
        }

        #region IComparable<StableKey> Members

        /// <summary>
        /// Compares this Key property to another. If they
        /// are the same, compares the incremented value.
        /// </summary>
        /// <param name="other"></param>
        /// <returns></returns>
        public int CompareTo( StableKey other )
        {
            var cmp = Key.CompareTo( other.Key );
            if( cmp == 0 )
                cmp = m_Sequence.CompareTo( other.m_Sequence );

            return cmp;
        }

        #endregion

        #region IComparable Members

        int IComparable.CompareTo( object obj )
        {
            return CompareTo( (StableKey)obj );
        }

        #endregion
    }
}

The key (pun intended) to this is to create an IComparable-based class that maintains equality and hashing, but never compares to 0 if not equal. This can be done, and can be created with a couple bonuses - stable sorting (that is, values added to the sorted list first will maintain their position), and ToString() can simply return the actual key string value.

Here's a struct key that should do the trick:

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading;

namespace System
{
    /// <summary>
    /// Defined in Totlsoft.Util.
    /// A key that will always be unique but compares
    /// primarily on the Key property, which is not required
    /// to be unique.
    /// </summary>
    public struct StableKey : IComparable<StableKey>, IComparable
    {
        private static long s_Next;
        private long m_Sequence;
        private IComparable m_Key;

        /// <summary>
        /// Defined in Totlsoft.Util.
        /// Constructs a StableKey with the given IComparable key.
        /// </summary>
        /// <param name="key"></param>
        public StableKey( IComparable key )
        {
            if( null == key )
                throw new ArgumentNullException( "key" );

            m_Sequence = Interlocked.Increment( ref s_Next );
            m_Key = key;
        }

        /// <summary>
        /// Overridden. True only if internal sequence and the
        /// Key are equal.
        /// </summary>
        /// <param name="obj"></param>
        /// <returns></returns>
        public override bool Equals( object obj )
        {
            if( !( obj is StableKey ) )
                return false;

            var dk = (StableKey)obj;

            return m_Sequence.Equals( dk.m_Sequence ) &&
                Key.Equals( dk.Key );
        }

        /// <summary>
        /// Overridden. Gets the hash code of the internal
        /// sequence and the Key.
        /// </summary>
        /// <returns></returns>
        public override int GetHashCode()
        {
            return m_Sequence.GetHashCode() ^ Key.GetHashCode();
        }

        /// <summary>
        /// Overridden. Returns Key.ToString().
        /// </summary>
        /// <returns></returns>
        public override string ToString()
        {
            return Key.ToString();
        }

        /// <summary>
        /// The key that will be compared on.
        /// </summary>
        public IComparable Key
        {
            get
            {
                if( null == m_Key )
                    return 0;

                return m_Key;
            }
        }

        #region IComparable<StableKey> Members

        /// <summary>
        /// Compares this Key property to another. If they
        /// are the same, compares the incremented value.
        /// </summary>
        /// <param name="other"></param>
        /// <returns></returns>
        public int CompareTo( StableKey other )
        {
            var cmp = Key.CompareTo( other.Key );
            if( cmp == 0 )
                cmp = m_Sequence.CompareTo( other.m_Sequence );

            return cmp;
        }

        #endregion

        #region IComparable Members

        int IComparable.CompareTo( object obj )
        {
            return CompareTo( (StableKey)obj );
        }

        #endregion
    }
}
吃不饱 2024-11-09 16:49:59

这就是我解决问题的方法。它应该是线程安全的,但如果不需要,您可以简单地删除。另请注意,不支持在索引处任意插入,因为这可能会违反排序条件。

public class ConcurrentOrderedList<Titem, Tsort> : ICollection<Titem>
{
    private object _lock = new object();
    private SortedDictionary<Tsort, List<Titem>> _internalLists;
    Func<Titem, Tsort> _getSortValue;
    
    public ConcurrentOrderedList(Func<Titem,Tsort> getSortValue)
    {
        _getSortValue = getSortValue;
        _internalLists = new SortedDictionary<Tsort, List<Titem>>();            
    }

    public int Count { get; private set; }

    public bool IsReadOnly => false;

    public void Add(Titem item)
    {
        lock (_lock)
        {
            List<Titem> values;
            Tsort sortVal = _getSortValue(item);
            if (!_internalLists.TryGetValue(sortVal, out values))
            {
                values = new List<Titem>();
                _internalLists.Add(sortVal, values);
            }
            values.Add(item);
            Count++;
        }            
    }

    public bool Remove(Titem item)
    {
        lock (_lock)
        {
            List<Titem> values;
            Tsort sortVal = _getSortValue(item);
            if (!_internalLists.TryGetValue(sortVal, out values))
                return false;

            var removed = values.Remove(item);
            if (removed)
                Count--;
            return removed;
        }
    }

    public void Clear()
    {
        lock (_lock)
        {
            _internalLists.Clear();
        }
    }

    public bool Contains(Titem item)
    {
        lock (_lock)
        {
            List<Titem> values;
            Tsort sortVal = _getSortValue(item);
            if (!_internalLists.TryGetValue(sortVal, out values))
                return false;
            return values.Contains(item);
        }
    }

    public void CopyTo(Titem[] array, int arrayIndex)
    {
        int i = arrayIndex;
        lock (_lock)
        {
            foreach (var list in _internalLists.Values)
            {
                list.CopyTo(array, i);
                i += list.Count;
            }
        }
    }

    public IEnumerator<Titem> GetEnumerator()
    {
        foreach (var list in _internalLists.Values)
        {
            foreach (var item in list)
                yield return item;
        }
    }

    public int IndexOf(Titem item)
    {
        int i = 0;
        var sortVal = _getSortValue(item);
        lock (_lock)
        {               
            foreach (var list in _internalLists)
            {
                if (object.Equals(list.Key, sortVal))
                {
                    int intIndex = list.Value.IndexOf(item);
                    if (intIndex == -1)
                        return -1;
                    return i + intIndex;
                }
                i += list.Value.Count;
            }
            return -1;
        }           
    }

    public void Insert(int index, Titem item)
    {
        throw new NotSupportedException();
    }

    // Note this method is indeterminate if there are multiple
    // items in the same sort position!
    public void RemoveAt(int index)
    {
        int i = 0;
        lock (_lock)
        {
            foreach (var list in _internalLists.Values)
            {
                if (i + list.Count < index)
                {
                    i += list.Count;
                    continue;
                }
                else
                {
                    list.RemoveAt(index - i);
                    return;
                }
            }
        }
    }

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

This is how I solved the problem. It's meant to be thread-safe though you can simply remove the locks if you don't need that. Also note arbitrary Insert at an index is not supported because that could violate the sort condition.

public class ConcurrentOrderedList<Titem, Tsort> : ICollection<Titem>
{
    private object _lock = new object();
    private SortedDictionary<Tsort, List<Titem>> _internalLists;
    Func<Titem, Tsort> _getSortValue;
    
    public ConcurrentOrderedList(Func<Titem,Tsort> getSortValue)
    {
        _getSortValue = getSortValue;
        _internalLists = new SortedDictionary<Tsort, List<Titem>>();            
    }

    public int Count { get; private set; }

    public bool IsReadOnly => false;

    public void Add(Titem item)
    {
        lock (_lock)
        {
            List<Titem> values;
            Tsort sortVal = _getSortValue(item);
            if (!_internalLists.TryGetValue(sortVal, out values))
            {
                values = new List<Titem>();
                _internalLists.Add(sortVal, values);
            }
            values.Add(item);
            Count++;
        }            
    }

    public bool Remove(Titem item)
    {
        lock (_lock)
        {
            List<Titem> values;
            Tsort sortVal = _getSortValue(item);
            if (!_internalLists.TryGetValue(sortVal, out values))
                return false;

            var removed = values.Remove(item);
            if (removed)
                Count--;
            return removed;
        }
    }

    public void Clear()
    {
        lock (_lock)
        {
            _internalLists.Clear();
        }
    }

    public bool Contains(Titem item)
    {
        lock (_lock)
        {
            List<Titem> values;
            Tsort sortVal = _getSortValue(item);
            if (!_internalLists.TryGetValue(sortVal, out values))
                return false;
            return values.Contains(item);
        }
    }

    public void CopyTo(Titem[] array, int arrayIndex)
    {
        int i = arrayIndex;
        lock (_lock)
        {
            foreach (var list in _internalLists.Values)
            {
                list.CopyTo(array, i);
                i += list.Count;
            }
        }
    }

    public IEnumerator<Titem> GetEnumerator()
    {
        foreach (var list in _internalLists.Values)
        {
            foreach (var item in list)
                yield return item;
        }
    }

    public int IndexOf(Titem item)
    {
        int i = 0;
        var sortVal = _getSortValue(item);
        lock (_lock)
        {               
            foreach (var list in _internalLists)
            {
                if (object.Equals(list.Key, sortVal))
                {
                    int intIndex = list.Value.IndexOf(item);
                    if (intIndex == -1)
                        return -1;
                    return i + intIndex;
                }
                i += list.Value.Count;
            }
            return -1;
        }           
    }

    public void Insert(int index, Titem item)
    {
        throw new NotSupportedException();
    }

    // Note this method is indeterminate if there are multiple
    // items in the same sort position!
    public void RemoveAt(int index)
    {
        int i = 0;
        lock (_lock)
        {
            foreach (var list in _internalLists.Values)
            {
                if (i + list.Count < index)
                {
                    i += list.Count;
                    continue;
                }
                else
                {
                    list.RemoveAt(index - i);
                    return;
                }
            }
        }
    }

    IEnumerator IEnumerable.GetEnumerator()
    {
        return this.GetEnumerator();
    }
}
擦肩而过的背影 2024-11-09 16:49:59

诀窍是用唯一的键来增强你的对象。请参阅以下测试是否通过。我想
让我的点按 X 值排序。只需在我的比较函数中使用裸 Point2D 即可
导致具有相同X值的点被消除。所以我将 Point2D 包装在一个名为的标记类中
已编入索引。

[Fact]
public void ShouldBeAbleToUseCustomComparatorWithSortedSet()
{
    // Create comparer that compares on X value but when X
    // X values are uses the index
    var comparer = new 
        System.Linq.Comparer<Indexed<Point2D>>(( p0, p1 ) =>
        {
            var r = p0.Value.X.CompareTo(p1.Value.X);
            return r == 0 ? p0.Index.CompareTo(p1.Index) : r;
        });

    // Sort points according to X
    var set = new SortedSet<Indexed<Point2D>>(comparer);

    int i=0;

    // Create a helper function to wrap each point in a unique index
    Action<Point2D> index = p =>
    {
        var ip = Indexed.Create(i++, p);
        set.Add(ip);
    };

    index(new Point2D(9,10));
    index(new Point2D(1,25));
    index(new Point2D(11,-10));
    index(new Point2D(2,99));
    index(new Point2D(5,55));
    index(new Point2D(5,23));
    index(new Point2D(11,11));
    index(new Point2D(21,12));
    index(new Point2D(-1,76));
    index(new Point2D(16,21));
    set.Count.Should()
       .Be(10);
    var xs = set.Select(p=>p.Value.X).ToList();
    xs.Should()
      .BeInAscendingOrder();
    xs.ShouldBeEquivalentTo(new[]{-1,1,2,5,5,9,11,11,16,21});

}

完成这项工作的实用程序是

一个比较器,它采用 lambda

public class Comparer<T> : IComparer<T>
{
    private readonly Func<T, T, int> _comparer;

    public Comparer(Func<T, T, int> comparer)
    {
        if (comparer == null)
            throw new ArgumentNullException("comparer");
        _comparer = comparer;
    }

    public int Compare(T x, T y)
    {
        return _comparer(x, y);
    }
}

A 标记结构

public struct Indexed<T>
{
    public int Index { get; private set; }
    public T Value { get; private set; }
    public Indexed(int index, T value) : this()
    {
        Index = index;
        Value = value;
    }

    public override string ToString()
    {
        return "(Indexed: " + Index + ", " + Value.ToString () + " )";
    }
}

public class Indexed
{
    public static Indexed<T> Create<T>(int indexed, T value)
    {
        return new Indexed<T>(indexed, value);
    }
}

The trick is to augment your object with a unique key. See the following test which passes. I want
to keep my points sorted by their X value. Just using a naked Point2D in my comparison function will
cause points with the same X value to be eliminated. So I wrap the Point2D in a tagging class called
Indexed.

[Fact]
public void ShouldBeAbleToUseCustomComparatorWithSortedSet()
{
    // Create comparer that compares on X value but when X
    // X values are uses the index
    var comparer = new 
        System.Linq.Comparer<Indexed<Point2D>>(( p0, p1 ) =>
        {
            var r = p0.Value.X.CompareTo(p1.Value.X);
            return r == 0 ? p0.Index.CompareTo(p1.Index) : r;
        });

    // Sort points according to X
    var set = new SortedSet<Indexed<Point2D>>(comparer);

    int i=0;

    // Create a helper function to wrap each point in a unique index
    Action<Point2D> index = p =>
    {
        var ip = Indexed.Create(i++, p);
        set.Add(ip);
    };

    index(new Point2D(9,10));
    index(new Point2D(1,25));
    index(new Point2D(11,-10));
    index(new Point2D(2,99));
    index(new Point2D(5,55));
    index(new Point2D(5,23));
    index(new Point2D(11,11));
    index(new Point2D(21,12));
    index(new Point2D(-1,76));
    index(new Point2D(16,21));
    set.Count.Should()
       .Be(10);
    var xs = set.Select(p=>p.Value.X).ToList();
    xs.Should()
      .BeInAscendingOrder();
    xs.ShouldBeEquivalentTo(new[]{-1,1,2,5,5,9,11,11,16,21});

}

Utilities to make this work are

A comparer that takes a lambda

public class Comparer<T> : IComparer<T>
{
    private readonly Func<T, T, int> _comparer;

    public Comparer(Func<T, T, int> comparer)
    {
        if (comparer == null)
            throw new ArgumentNullException("comparer");
        _comparer = comparer;
    }

    public int Compare(T x, T y)
    {
        return _comparer(x, y);
    }
}

A tagging struct

public struct Indexed<T>
{
    public int Index { get; private set; }
    public T Value { get; private set; }
    public Indexed(int index, T value) : this()
    {
        Index = index;
        Value = value;
    }

    public override string ToString()
    {
        return "(Indexed: " + Index + ", " + Value.ToString () + " )";
    }
}

public class Indexed
{
    public static Indexed<T> Create<T>(int indexed, T value)
    {
        return new Indexed<T>(indexed, value);
    }
}
哎呦我呸! 2024-11-09 16:49:59

这是我对此的看法。请注意,这里可能有龙,C# 对我来说仍然很新。

  • 允许重复的键,值存储在列表中,
  • 我将其用作排序队列,因此名称和方法

用法:

SortedQueue<MyClass> queue = new SortedQueue<MyClass>();
// new list on key "0" is created and item added
queue.Enqueue(0, first);
// new list on key "1" is created and item added
queue.Enqueue(1, second);
// items is added into list on key "0"
queue.Enqueue(0, third);
// takes the first item from list with smallest key
MyClass myClass = queue.Dequeue();
class SortedQueue<T> {
  public int Count;
  public SortedList<int, List<T>> Queue;

  public SortedQueue() {
    Count = 0;
    Queue = new SortedList<int, List<T>>();
  }

  public void Enqueue(int key, T value) {
    List<T> values;
    if (!Queue.TryGetValue(key, out values)){
      values = new List<T>();
      Queue.Add(key, values);
      Count += 1;
    }
    values.Add(value);
  }

  public T Dequeue() {
    if (Queue.Count > 0) {
      List<T> smallest = Queue.Values[0];
      if (smallest.Count > 0) {
        T item = smallest[0];
        smallest.Remove(item);
        return item;
      } else {
        Queue.RemoveAt(0);
        Count -= 1;
        return Dequeue();
      }
    }
    return default(T);
  }
}

Here's my take on this. Be aware, here might be dragons, C# still still quite new for me.

  • Duplicate keys are allowed, values are stored in a list
  • I used it as a sorted queue, hence the names and methods

Usage:

SortedQueue<MyClass> queue = new SortedQueue<MyClass>();
// new list on key "0" is created and item added
queue.Enqueue(0, first);
// new list on key "1" is created and item added
queue.Enqueue(1, second);
// items is added into list on key "0"
queue.Enqueue(0, third);
// takes the first item from list with smallest key
MyClass myClass = queue.Dequeue();
class SortedQueue<T> {
  public int Count;
  public SortedList<int, List<T>> Queue;

  public SortedQueue() {
    Count = 0;
    Queue = new SortedList<int, List<T>>();
  }

  public void Enqueue(int key, T value) {
    List<T> values;
    if (!Queue.TryGetValue(key, out values)){
      values = new List<T>();
      Queue.Add(key, values);
      Count += 1;
    }
    values.Add(value);
  }

  public T Dequeue() {
    if (Queue.Count > 0) {
      List<T> smallest = Queue.Values[0];
      if (smallest.Count > 0) {
        T item = smallest[0];
        smallest.Remove(item);
        return item;
      } else {
        Queue.RemoveAt(0);
        Count -= 1;
        return Dequeue();
      }
    }
    return default(T);
  }
}
你的呼吸 2024-11-09 16:49:59

创建一个类并查询列表:

Public Class SortingAlgorithm
{
    public int ID {get; set;}
    public string name {get; set;}
    public string address1 {get; set;}
    public string city {get; set;}
    public string state {get; set;}
    public int age {get; set;}
}

//declare a sorting algorithm list
List<SortingAlgorithm> sortAlg = new List<SortingAlgorithm>();

//Add multiple values to the list
sortAlg.Add( new SortingAlgorithm() {ID = ID, name = name, address1 = address1, city = city, state = state, age = age});
sortAlg.Add( new SortingAlgorithm() {ID = ID, name = name, address1 = address1, city = city, state = state, age = age});
sortAlg.Add( new SortingAlgorithm() {ID = ID, name = name, address1 = address1, city = city, state = state, age = age});

//query and order by the list
  var sortedlist = (from s in sortAlg
                    select new { s.ID, s.name, s.address1, s.city, s.state, s.age })
                                                     .OrderBy(r => r.ID)
                                                     .ThenBy(r=> r.name)
                                                     .ThenBy(r=> r.city)
                                                     .ThenBy(r=>r.state)
                                                     .ThenBy(r=>r.age);

Create a class and query the list:

Public Class SortingAlgorithm
{
    public int ID {get; set;}
    public string name {get; set;}
    public string address1 {get; set;}
    public string city {get; set;}
    public string state {get; set;}
    public int age {get; set;}
}

//declare a sorting algorithm list
List<SortingAlgorithm> sortAlg = new List<SortingAlgorithm>();

//Add multiple values to the list
sortAlg.Add( new SortingAlgorithm() {ID = ID, name = name, address1 = address1, city = city, state = state, age = age});
sortAlg.Add( new SortingAlgorithm() {ID = ID, name = name, address1 = address1, city = city, state = state, age = age});
sortAlg.Add( new SortingAlgorithm() {ID = ID, name = name, address1 = address1, city = city, state = state, age = age});

//query and order by the list
  var sortedlist = (from s in sortAlg
                    select new { s.ID, s.name, s.address1, s.city, s.state, s.age })
                                                     .OrderBy(r => r.ID)
                                                     .ThenBy(r=> r.name)
                                                     .ThenBy(r=> r.city)
                                                     .ThenBy(r=>r.state)
                                                     .ThenBy(r=>r.age);
~没有更多了~
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