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BreadthFirstSearcher.cs
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161 lines (130 loc) · 5.83 KB
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using System;
using System.Collections.Generic;
using DataStructures.Graphs;
namespace Algorithms.Graphs
{
public static class BreadthFirstSearcher
{
/// <summary>
/// Iterative BFS implementation.
/// Traverses nodes in graph starting from a specific node, printing them as they get visited.
/// </summary>
public static void PrintAll<T>(IGraph<T> Graph, T StartVertex) where T : IComparable<T>
{
// Check if graph is empty
if (Graph.VerticesCount == 0)
throw new Exception("Graph is empty!");
// Check if graph has the starting vertex
if (!Graph.HasVertex(StartVertex))
throw new Exception("Starting vertex doesn't belong to graph.");
var visited = new HashSet<T>();
var queue = new Queue<T>(Graph.VerticesCount);
// BFS VISIT NODE STEP
var current = StartVertex;
Console.Write(String.Format("({0}) ", current));
visited.Add(current);
while (queue.Count > 0)
{
current = queue.Dequeue();
foreach (var adjacent in Graph.Neighbours(current))
{
if (visited.Contains(adjacent))
continue;
// BFS VISIT NODE STEP
Console.Write(String.Format("({0}) ", adjacent));
visited.Add(adjacent);
queue.Enqueue(adjacent);
}
}
}
/// <summary>
/// Iterative BFS implementation.
/// Traverses all the nodes in a graph starting from a specific node, applying the passed action to every node.
/// </summary>
public static void VisitAll<T>(ref IGraph<T> Graph, T StartVertex, Action<T> Action) where T : IComparable<T>
{
// Check if graph is empty
if (Graph.VerticesCount == 0)
throw new Exception("Graph is empty!");
// Check if graph has the starting vertex
if (!Graph.HasVertex(StartVertex))
throw new Exception("Starting vertex doesn't belong to graph.");
int level = 0; // keeps track of level
var frontiers = new List<T>(); // keeps track of previous levels, i - 1
var levels = new Dictionary<T, int>(Graph.VerticesCount); // keeps track of visited nodes and their distances
var parents = new Dictionary<T, object>(Graph.VerticesCount); // keeps track of tree-nodes
frontiers.Add(StartVertex);
levels.Add(StartVertex, 0);
parents.Add(StartVertex, null);
// BFS VISIT CURRENT NODE
Action(StartVertex);
// TRAVERSE GRAPH
while (frontiers.Count > 0)
{
var next = new List<T>(); // keeps track of the current level, i
foreach (var node in frontiers)
{
foreach (var adjacent in Graph.Neighbours(node))
{
if (!levels.ContainsKey(adjacent)) // not visited yet
{
// BFS VISIT NODE STEP
Action(adjacent);
levels.Add(adjacent, level); // level[node] + 1
parents.Add(adjacent, node);
next.Add(adjacent);
}
}
}
frontiers = next;
level = level + 1;
}
}
/// <summary>
/// Iterative BFS Implementation.
/// Given a predicate function and a starting node, this function searches the nodes of the graph for a first match.
/// </summary>
public static T FindFirstMatch<T>(IGraph<T> Graph, T StartVertex, Predicate<T> Match) where T : IComparable<T>
{
// Check if graph is empty
if (Graph.VerticesCount == 0)
throw new Exception("Graph is empty!");
// Check if graph has the starting vertex
if (!Graph.HasVertex(StartVertex))
throw new Exception("Starting vertex doesn't belong to graph.");
int level = 0; // keeps track of levels
var frontiers = new List<T>(); // keeps track of previous levels, i - 1
var levels = new Dictionary<T, int>(Graph.VerticesCount); // keeps track of visited nodes and their distances
var parents = new Dictionary<T, object>(Graph.VerticesCount); // keeps track of tree-nodes
frontiers.Add(StartVertex);
levels.Add(StartVertex, 0);
parents.Add(StartVertex, null);
// BFS VISIT CURRENT NODE
if (Match(StartVertex))
return StartVertex;
// TRAVERSE GRAPH
while (frontiers.Count > 0)
{
var next = new List<T>(); // keeps track of the current level, i
foreach (var node in frontiers)
{
foreach (var adjacent in Graph.Neighbours(node))
{
if (!levels.ContainsKey(adjacent)) // not visited yet
{
// BFS VISIT NODE STEP
if (Match(adjacent))
return adjacent;
levels.Add(adjacent, level); // level[node] + 1
parents.Add(adjacent, node);
next.Add(adjacent);
}
}
}
frontiers = next;
level = level + 1;
}
throw new Exception("Item was not found!");
}
}
}