C# 覆盖 Dictionary/HashSet 中的存储桶查找行为

C# override behaviour of bucket lookup in Dictionary/HashSet

我想在 C# 中为双打实现向量 class 并且需要覆盖 EqualsGetHashCode 以便我可以使用我的向量 class 作为键字典或使用哈希集。由于我需要对平等有一定的容忍度,我知道没有办法实现可传递的 Equals 方法和相应的 GetHashCode 方法。

我偶然发现了类似主题的答案:

而且我想知道,有没有一种方法可以更改 C# 中 HashSet/Dictionaries 的查找行为,使其不仅检查一个桶,而且检查多个桶?

或者是否有某些 class 对于 C# 具有此行为?

由于 HashSet 不提供自定义桶搜索行为的方法,我编写了一个自定义 class 来执行多个桶搜索。包括一个现实生活中使用的例子:一个 3 维向量 class.

// Implementing this interface introduces the concept of neighbouring buckets.
public interface IHasNeighbourConcept
{
    int[] GetSeveralHashCodes();
    // The returned int[] must at least contain the return value of GetHashCode.
}

// Custom HashSet-like class that can search in several buckets.
public class NeighbourSearchHashSet<T> where T : IHasNeighbourConcept
{
    // Internal data storage.
    private Dictionary<int, List<T>> buckets;

    // Constructor.
    public NeighbourSearchHashSet()
    {
        buckets = new Dictionary<int, List<T>>();
    }

    // Classic implementation utilizing GetHashCode.
    public bool Add(T elem)
    {
        int hash = elem.GetHashCode();

        if(!buckets.ContainsKey(hash))
        {
            buckets[hash] = new List<T>();
            buckets[hash].Add(elem);
            return true;
        }

        foreach(T t in buckets[hash])
        {
            if(elem.Equals(t))
                return false;
        }

        buckets[hash].Add(elem);
        return true;
    }

    /// Nonclassic implementation utilizing GetSeveralHashCodes.
    public bool Contains(T elem)
    {
        int[] hashes = elem.GetSeveralHashCodes();

        foreach(int h in hashes)
            foreach(T t in buckets[h])
                if(elem.Equals(t))
                    return true;
        return false;
    }


}


// A 3-dimensional vector class. Since its Equals method is not transitive,
// there can be vectors that are considered equal but have different HashCodes.
// So the Contains method of HashSet<Vector> does not work as expected.
public class Vector : IHasNeighbourConcept
{
    private double[] coords;
    private static double TOL = 1E-10;
    // Tolerance for considering two doubles as equal

    public Vector(double x, double y, double z)
    {
        if(double.IsNaN(x) || double.IsInfinity(x) ||
           double.IsNaN(y) || double.IsInfinity(y) ||
           double.IsNaN(z) || double.IsInfinity(z))
            throw new NotFiniteNumberException("All input must be finite!");

        coords = new double[] { x, y, z };
    }

    // Two vectors are equal iff the distance of each
    // corresponding component pair is significantly small.
    public override bool Equals(object obj)
    {
        if(!(obj is Vector))
            throw new ArgumentException("Input argument is not a Vector!");

        Vector other = obj as Vector;

        bool retval = true;
        for(int i = 0; i < 2; i++)
            retval = retval && (Math.Abs(coords[i] - other.coords[i]) < TOL);

        return retval;

    }

    // The set of all Vectors with the same HashCode
    // is a cube with side length TOL.
    // Two Vectors considered equal may have different
    // HashCodes, but the x, y, z intermediate values
    // differ by at most 1.
    public override int GetHashCode()
    {
        int x =(int) Math.Truncate(coords[0] / TOL);
        int y =(int) Math.Truncate(coords[1] / TOL);
        int z =(int) Math.Truncate(coords[2] / TOL);
        return x + 3*y + 5*z; // The purpose of the factors is to make
                              // permuting the coordinates result
                              // in different HashCodes.
    }

    // Gets the HashCode of the given Vector as well as the 26
    // HashCodes of the surrounding cubes.
    public int[] GetSeveralHashCodes()
    {
        int[] hashes = new int[27];
        int x =(int) Math.Truncate(coords[0] / TOL);
        int y =(int) Math.Truncate(coords[1] / TOL);
        int z =(int) Math.Truncate(coords[2] / TOL);

        for(int i = -1; i <= 1; i++)
            for(int j = -1; j <= 1; j++)
                for(int k = -1; k <= 1; k++)
                    hashes[(i+1)+3*(j+1)+9*(k+1)] = (x+i) + 3*(y+j) + 5*(z+k);
        return hashes;
    }
}

编辑:

上述实现扩展了 HashSet 的概念,即使没有可传递的 Equals 方法,集合的 Contains 方法也能正常工作。它之所以有效,是因为对于 Contains 我们不需要知道我们寻找的元素所在的确切等价 class。

但是,对于词典来说,情况就不同了。我们确实需要获得正确的等价 class(即 hashCode),否则我们会得到不同的图像。因此,不同的哈希码必须导致元素不相等。