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258 lines
9.2 KiB
258 lines
9.2 KiB
using System.Collections.Generic;
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using System.Linq;
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namespace ZeroLevel.DataStructures
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{
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/// <summary>
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/// Represents a Sparse matrix.
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/// </summary>
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/// <typeparam name="T">The type of the stored value.</typeparam>
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public class SparseMatrix<T>
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{
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/// <summary>
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/// Dictionary containing the row index as a key and as a value another dictionary
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/// containing the column index as a key and the stored value as a value.
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/// </summary>
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internal Dictionary<int, Dictionary<int, T>> rows;
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/// <summary>
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/// Dictionary containing the column index as a key and as a value another dictionary
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/// containing the row index as a key and the stored value as a value.
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/// </summary>
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internal Dictionary<int, Dictionary<int, T>> cols;
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/// <summary>
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/// Gets the maximum reached height of the sparse matrix.
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/// </summary>
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public int Height { get; internal set; }
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/// <summary>
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/// Gets the maximum reached width of the sparse matrix.
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/// </summary>
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public int Width { get; internal set; }
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/// <summary>
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/// Gets the number of items in the <see cref="SparseMatrix{T}"/>.
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/// </summary>
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public int Count { get; internal set; }
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/// <summary>
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/// Gets or sets an item in the sparse matrix. If there is no item on the given position
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/// on get the default value of T is returned and on set the item is added to the matrix.
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/// </summary>
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/// <param name="row">The zero-based row index of the item.</param>
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/// <param name="col">The zero-based column index of the item.</param>
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/// <returns>Returns the item in the sparse matrix. If there is no item on the given position the default value of T is returned instead.</returns>
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public T this[int row, int col]
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{
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get
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{
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if (rows.ContainsKey(row))
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{
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if (rows[row].ContainsKey(col))
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{
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return rows[row][col];
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}
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}
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//If there is no item on the given position return defaault value
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return default(T)!;
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}
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set
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{
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if (row >= Height) Height = row + 1;
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if (col >= Width) Width = col + 1;
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//If no items on the current row we have to create a new dictionary
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if (!rows.ContainsKey(row))
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rows.Add(row, new Dictionary<int, T>());
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//If no items on the current col we have to create a new dictionary
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if (!cols.ContainsKey(col))
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cols.Add(col, new Dictionary<int, T>());
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rows[row][col] = value;
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cols[col][row] = value;
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Count++;
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}
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}
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/// <summary>
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/// Creates a new instance of the <see cref="SparseMatrix{T}"/> class.
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/// </summary>
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public SparseMatrix()
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{
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rows = new Dictionary<int, Dictionary<int, T>>();
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cols = new Dictionary<int, Dictionary<int, T>>();
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}
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/// <summary>
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/// Creates a new instance of the <see cref="SparseMatrix{T}"/> class from the given two dimensional array.
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/// </summary>
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/// <param name="array">The two dimensional array of items to add.</param>
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/// <param name="zeroItem">The item considered a zero item. All items from the array equal to the zero item won't be added to the matrix.</param>
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public SparseMatrix(T[,] array, T zeroItem)
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{
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rows = new Dictionary<int, Dictionary<int, T>>();
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cols = new Dictionary<int, Dictionary<int, T>>();
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for (int row = 0; row < array.GetLength(0); row++)
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{
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for (int col = 0; col < array.GetLength(1); col++)
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{
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if (!object.Equals(array[row, col], zeroItem))
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this[row, col] = array[row, col];
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}
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}
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}
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/// <summary>
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/// Determines if there is an item on the given position.
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/// </summary>
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/// <param name="row">The zero-based row index of the item.</param>
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/// <param name="col">The zero-based column index of the item.</param>
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/// <returns>Returns true if there is an item on the given position; otherwise false.</returns>
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public bool IsCellEmpty(int row, int col)
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{
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if (rows.ContainsKey(row))
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{
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if (rows[row].ContainsKey(col))
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{
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return false;
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}
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}
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return true;
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}
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/// <summary>
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/// Gets the items in the given row sorted by the column index as an <see cref="IEnumerable{T}"/>
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/// of <see cref="KeyValuePair{TKey, TValue}"/> with the key being the column index and the value being the item.
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/// </summary>
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/// <param name="row">The zero-based row index.</param>
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/// <returns>Returns an <see cref="IEnumerable{T}"/> of <see cref="KeyValuePair{TKey, TValue}"/>
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/// with the key being the column index and the value being the item.</returns>
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public IEnumerable<KeyValuePair<int, T>> GetRowItems(int row)
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{
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if (rows.ContainsKey(row))
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{
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var sortedDict = new SortedDictionary<int, T>(rows[row]);
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foreach (var item in sortedDict)
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{
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yield return item;
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}
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}
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}
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/// <summary>
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/// Gets the items in the given column sorted by the row index as an <see cref="IEnumerable{T}"/>
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/// of <see cref="KeyValuePair{TKey, TValue}"/> with the key being the row index and the value being the item.
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/// </summary>
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/// <param name="col">The zero-based column index.</param>
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/// <returns>Returns an <see cref="IEnumerable{T}"/> of <see cref="KeyValuePair{TKey, TValue}"/>
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/// with the key being the row index and the value being the item.</returns>
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public IEnumerable<KeyValuePair<int, T>> GetColumnItems(int col)
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{
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if (cols.ContainsKey(col))
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{
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var sortedDict = new SortedDictionary<int, T>(cols[col]);
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foreach (var item in sortedDict)
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{
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yield return item;
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}
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}
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}
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/// <summary>
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/// Gets non empty rows indexes sorted in ascending order.
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/// </summary>
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/// <returns>Returns an <see cref="IEnumerable{T}"/> of integers being row indexes sorted in ascending order.</returns>
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public IEnumerable<int> GetNonEmptyRows()
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{
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var sortedRows = new SortedSet<int>(rows.Keys);
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foreach (var row in sortedRows)
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{
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yield return row;
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}
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}
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/// <summary>
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/// Gets non empty columns indexes sorted in ascending order.
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/// </summary>
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/// <returns>Returns an <see cref="IEnumerable{T}"/> of integers being column indexes sorted in ascending order.</returns>
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public IEnumerable<int> GetNonEmptyColumns()
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{
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var sortedCols = new SortedSet<int>(cols.Keys);
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foreach (var col in sortedCols)
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{
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yield return col;
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}
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}
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/// <summary>
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/// Removes the item on the given position.
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/// </summary>
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/// <param name="row">The zero-based row index.</param>
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/// <param name="col">The zero-based column index.</param>
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/// <returns>Returns true if item is removed successfully; otherwise false. Also returns false if the item is not found.</returns>
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public bool Remove(int row, int col)
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{
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if (rows.ContainsKey(row))
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{
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if (rows[row].ContainsKey(col))
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{
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bool removedSuccessfully = true;
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if (!rows[row].Remove(col) || !cols[col].Remove(row)) removedSuccessfully = false;
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if (rows[row].Count == 0)
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{
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rows.Remove(row);
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}
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if (cols[col].Count == 0)
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{
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cols.Remove(col);
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}
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if (removedSuccessfully)
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Count--;
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return removedSuccessfully;
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}
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}
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return false;
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}
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/// <summary>
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/// Removes all elements from the sparse matrix.
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/// </summary>
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public void Clear()
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{
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rows.Clear();
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cols.Clear();
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Count = 0;
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Height = 0;
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Width = 0;
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}
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/// <summary>
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/// Updates the height and the width of the matrix. If no items were removed from the matrix the dimensions will be correct.
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/// </summary>
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public void UpdateDimensions()
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{
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if (rows.Count == 0)
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{
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Height = 0;
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Width = 0;
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return;
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}
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Height = rows.Keys.Max() + 1;
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Width = cols.Keys.Max() + 1;
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}
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}
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}
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