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BinaryMinHeap.cs
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BinaryMinHeap.cs
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using System;
using System.Collections.Generic;
using DataStructures.Common;
using DataStructures.Lists;
namespace DataStructures.Heaps
{
/// <summary>
/// Minimum Heap Data Structure.
/// </summary>
public class BinaryMinHeap<T> : IMinHeap<T> where T : IComparable<T>
{
/// <summary>
/// Instance Variables.
/// _collection: The list of elements. Implemented as an array-based list with auto-resizing.
/// </summary>
private ArrayList<T> _collection { get; set; }
private Comparer<T> _heapComparer = Comparer<T>.Default;
/// <summary>
/// CONSTRUCTORS
/// </summary>
public BinaryMinHeap() : this(0, null) { }
public BinaryMinHeap(Comparer<T> comparer) : this(0, comparer) { }
public BinaryMinHeap(int capacity, Comparer<T> comparer)
{
_collection = new ArrayList<T>(capacity);
_heapComparer = comparer ?? Comparer<T>.Default;
}
/// <summary>
/// Builds a min heap from the inner array-list _collection.
/// </summary>
private void _buildMinHeap()
{
int lastIndex = _collection.Count - 1;
int lastNodeWithChildren = (lastIndex / 2);
for (int node = lastNodeWithChildren; node >= 0; node--)
{
_minHeapify(node, lastIndex);
}
}
/// <summary>
/// Private Method. Used in Building a Min Heap.
/// </summary>
/// <typeparam name="T">Type of Heap elements</typeparam>
/// <param name="nodeIndex">The node index to heapify at.</param>
/// <param name="lastIndex">The last index of collection to stop at.</param>
private void _minHeapify(int nodeIndex, int lastIndex)
{
// assume that the subtrees left(node) and right(node) are max-heaps
int left = (nodeIndex * 2) + 1;
int right = left + 1;
int smallest = nodeIndex;
// If collection[left] < collection[nodeIndex]
if (left <= lastIndex && _heapComparer.Compare(_collection[left], _collection[nodeIndex]) < 0)
smallest = left;
// If collection[right] < collection[smallest]
if (right <= lastIndex && _heapComparer.Compare(_collection[right], _collection[smallest]) < 0)
smallest = right;
// Swap and heapify
if (smallest != nodeIndex)
{
_collection.Swap(nodeIndex, smallest);
_minHeapify(smallest, lastIndex);
}
}
/// <summary>
/// Returns the number of elements in heap
/// </summary>
public int Count
{
get { return _collection.Count; }
}
/// <summary>
/// Checks whether this heap is empty
/// </summary>
public bool IsEmpty
{
get { return (_collection.Count == 0); }
}
/// <summary>
/// Gets or sets the at the specified index.
/// </summary>
/// <param name="index">Index.</param>
public T this[int index]
{
get
{
if (index < 0 || index > this.Count || this.Count == 0)
{
throw new IndexOutOfRangeException();
}
return _collection[index];
}
set
{
if (index < 0 || index >= this.Count)
{
throw new IndexOutOfRangeException();
}
_collection[index] = value;
if (_heapComparer.Compare(_collection[index], _collection[0]) <= 0) // less than or equal to min
{
_collection.Swap(0, index);
_buildMinHeap();
}
}
}
/// <summary>
/// Heapifies the specified newCollection. Overrides the current heap.
/// </summary>
/// <param name="newCollection">New collection.</param>
public void Initialize(IList<T> newCollection)
{
if (newCollection.Count > 0)
{
// Reset and reserve the size of the newCollection
_collection = new ArrayList<T>(newCollection.Count);
// Copy the elements from the newCollection to the inner collection
for (int i = 0; i < newCollection.Count; ++i)
{
_collection.InsertAt(newCollection[i], i);
}
// Build the heap
_buildMinHeap();
}
}
/// <summary>
/// Adding a new key to the heap.
/// </summary>
/// <param name="heapKey">Heap key.</param>
public void Add(T heapKey)
{
if (IsEmpty)
{
_collection.Add(heapKey);
}
else
{
_collection.Add(heapKey);
_buildMinHeap();
}
}
/// <summary>
/// Find the minimum node of a min heap.
/// </summary>
/// <returns>The minimum.</returns>
public T Peek()
{
if (IsEmpty)
{
throw new Exception("Heap is empty.");
}
return _collection.First;
}
/// <summary>
/// Removes the node of minimum value from a min heap.
/// </summary>
public void RemoveMin()
{
if (IsEmpty)
{
throw new Exception("Heap is empty.");
}
int min = 0;
int last = _collection.Count - 1;
_collection.Swap(min, last);
_collection.RemoveAt(last);
last--;
_minHeapify(0, last);
}
/// <summary>
/// Returns the node of minimum value from a min heap after removing it from the heap.
/// </summary>
/// <returns>The min.</returns>
public T ExtractMin()
{
var min = Peek();
RemoveMin();
return min;
}
/// <summary>
/// Clear this heap.
/// </summary>
public void Clear()
{
if (IsEmpty)
{
throw new Exception("Heap is empty.");
}
_collection.Clear();
}
/// <summary>
/// Rebuilds the heap.
/// </summary>
public void RebuildHeap()
{
_buildMinHeap();
}
/// <summary>
/// Returns an array version of this heap.
/// </summary>
public T[] ToArray()
{
return _collection.ToArray();
}
/// <summary>
/// Returns a list version of this heap.
/// </summary>
public List<T> ToList()
{
return _collection.ToList();
}
/// <summary>
/// Union two heaps together, returns a new min-heap of both heaps' elements,
/// ... and then destroys the original ones.
/// </summary>
public BinaryMinHeap<T> Union(ref BinaryMinHeap<T> firstMinHeap, ref BinaryMinHeap<T> secondMinHeap)
{
if (firstMinHeap == null || secondMinHeap == null)
throw new ArgumentNullException("Null heaps are not allowed.");
// Create a new heap with reserved size.
int size = firstMinHeap.Count + secondMinHeap.Count;
var newHeap = new BinaryMinHeap<T>(size, Comparer<T>.Default);
// Insert into the new heap.
while (firstMinHeap.IsEmpty == false)
newHeap.Add(firstMinHeap.ExtractMin());
while (secondMinHeap.IsEmpty == false)
newHeap.Add(secondMinHeap.ExtractMin());
// Destroy the two heaps.
firstMinHeap = secondMinHeap = null;
return newHeap;
}
/// <summary>
/// Returns a new max heap that contains all elements of this heap.
/// </summary>
public IMaxHeap<T> ToMaxHeap()
{
BinaryMaxHeap<T> newMaxHeap = new BinaryMaxHeap<T>(this.Count, this._heapComparer);
newMaxHeap.Initialize(this._collection.ToArray());
return newMaxHeap;
}
}
}