Package squidpony.squidai.graph
Class DefaultGraph
- All Implemented Interfaces:
Serializable
public class DefaultGraph extends UndirectedGraph<Coord> implements Serializable
A default setting for an
Created by Tommy Ettinger on 7/9/2020.
UndirectedGraph
of Coord vertices where all connections have cost 1. This should be
initialized with a 2D (rectangular) char array using the map convention where '#'
is a wall and anything else
is passable.
Created by Tommy Ettinger on 7/9/2020.
- See Also:
- Serialized Form
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Field Summary
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Constructor Summary
Constructors Constructor Description DefaultGraph()
No-op no-arg constructor, present forSerializable
; if you use this you must callinit(char[][])
orinit(char[][], boolean)
before using the DefaultGraph.DefaultGraph(char[][] map)
Builds a DefaultGraph from a 2D char array that uses'#'
to represent any kind of inaccessible cell, with all other chars treated as walkable.DefaultGraph(char[][] map, boolean eightWay)
Builds a DefaultGraph from a 2D char array that uses'#'
to represent any kind of inaccessible cell, with all other chars treated as walkable. -
Method Summary
Modifier and Type Method Description Graph<Coord>
breadthFirstSearch(Coord coord)
Perform a breadth first search starting from the specified vertex.Graph<Coord>
breadthFirstSearch(Coord coord, int maxVertices, int maxDepth)
Perform a breadth first search starting from the specified vertex.Graph<Coord>
depthFirstSearch(Coord coord)
Perform a depth first search starting from the specified vertex.Graph<Coord>
depthFirstSearch(Coord coord, int maxVertices, int maxDepth)
Perform a depth first search starting from the specified vertex.boolean
detectCycle()
Checks whether there are any cycles in the graph using depth first searches.double
findMinimumDistance(Coord start, Coord target)
Find the shortest path between the start and target vertices, using Dijkstra's algorithm implemented with a priority queue.Graph<Coord>
findMinimumWeightSpanningTree()
Find a minimum weight spanning tree using Kruskal's algorithm.ArrayList<Coord>
findShortestPath(Coord start, Coord target)
Find the shortest path between the start and target vertices, using Dijkstra's algorithm implemented with a priority queue.boolean
findShortestPath(Coord start, Coord target, ArrayList<Coord> path, Heuristic<Coord> heuristic)
Find the shortest path between the start and target vertices, using the A* search algorithm with the provided heuristic, and implemented with a priority queue.ArrayList<Coord>
findShortestPath(Coord start, Coord target, Heuristic<Coord> heuristic)
Find the shortest path between the start and target vertices, using the A* search algorithm with the provided heuristic, and implemented with a priority queue.void
init(char[][] map)
Re-initializes a DefaultGraph from a 2D char array that uses'#'
to represent any kind of inaccessible cell, with all other chars treated as walkable.void
init(char[][] map, boolean eightWay)
Re-initializes this DefaultGraph from a 2D char array that uses'#'
to represent any kind of inaccessible cell, with all other chars treated as walkable.char[]
show()
Creates a 1D char array (which can be passed toString.valueOf(char[])
) filled with a grid made of the vertices in this Graph and their estimated costs, if this has done an estimate.Methods inherited from class squidpony.squidai.graph.UndirectedGraph
addConnection, algorithms, createNew, getEdge, isDirected, obtainEdge, removeConnection
Methods inherited from class squidpony.squidai.graph.Graph
addConnection, addEdge, addEdge, addVertex, addVertices, connectionExists, contains, edgeExists, getEdge, getEdgeCount, getEdges, getEdges, getNode, getNodes, getVertices, removeAllEdges, removeAllVertices, removeEdge, removeEdge, removeNode, removeVertex, removeVertices, size, sortEdges, sortVertices
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Field Details
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Constructor Details
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DefaultGraph
public DefaultGraph()No-op no-arg constructor, present forSerializable
; if you use this you must callinit(char[][])
orinit(char[][], boolean)
before using the DefaultGraph. -
DefaultGraph
Builds a DefaultGraph from a 2D char array that uses'#'
to represent any kind of inaccessible cell, with all other chars treated as walkable. This only builds connections along cardinal directions.- Parameters:
map
- a 2D char array where'#'
represents an inaccessible area (such as a wall) and anything else is walkable
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DefaultGraph
Builds a DefaultGraph from a 2D char array that uses'#'
to represent any kind of inaccessible cell, with all other chars treated as walkable. IfeightWay
is true, this builds connections along diagonals as well as along cardinals, but ifeightWay
is false, it only builds connections along cardinal directions.- Parameters:
map
- a 2D char array where'#'
represents an inaccessible area (such as a wall) and anything else is walkableeightWay
- if true, this will build connections on diagonals as well as cardinal directions; if false, this will only use cardinal connections
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Method Details
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init
Re-initializes a DefaultGraph from a 2D char array that uses'#'
to represent any kind of inaccessible cell, with all other chars treated as walkable. This only builds connections along cardinal directions.- Parameters:
map
- a 2D char array where'#'
represents an inaccessible area (such as a wall) and anything else is walkable
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init
Re-initializes this DefaultGraph from a 2D char array that uses'#'
to represent any kind of inaccessible cell, with all other chars treated as walkable. IfeightWay
is true, this builds connections along diagonals as well as along cardinals, but ifeightWay
is false, it only builds connections along cardinal directions.- Parameters:
map
- a 2D char array where'#'
represents an inaccessible area (such as a wall) and anything else is walkableeightWay
- if true, this will build connections on diagonals as well as cardinal directions; if false, this will only use cardinal connections
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findMinimumWeightSpanningTree
Find a minimum weight spanning tree using Kruskal's algorithm.- Returns:
- a Graph object containing a minimum weight spanning tree (if this graph is connected - in general a minimum weight spanning forest)
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findShortestPath
Find the shortest path between the start and target vertices, using Dijkstra's algorithm implemented with a priority queue.- Parameters:
start
- the starting vertextarget
- the target vertex- Returns:
- a list of vertices from start to target containing the ordered vertices of a shortest path, including both the start and target vertices
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findShortestPath
Find the shortest path between the start and target vertices, using the A* search algorithm with the provided heuristic, and implemented with a priority queue.- Parameters:
start
- the starting vertextarget
- the target vertexheuristic
- typically predefined inHeuristic
, this determines how the optimal path will be estimated- Returns:
- a list of vertices from start to target containing the ordered vertices of a shortest path, including both the start and target vertices
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findShortestPath
public boolean findShortestPath(Coord start, Coord target, ArrayList<Coord> path, Heuristic<Coord> heuristic)Find the shortest path between the start and target vertices, using the A* search algorithm with the provided heuristic, and implemented with a priority queue. Fills path with a list of vertices from start to target containing the ordered vertices of a shortest path, including both the start and target vertices.- Parameters:
start
- the starting vertextarget
- the target vertexpath
- the list of vertices to which the path vertices should be added- Returns:
- true if a path was found, or false if no path could be found
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findMinimumDistance
Find the shortest path between the start and target vertices, using Dijkstra's algorithm implemented with a priority queue.- Parameters:
start
- the starting vertextarget
- the target vertex- Returns:
- the sum of the weights in a shortest path from the starting vertex to the target vertex
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breadthFirstSearch
Perform a breadth first search starting from the specified vertex.- Parameters:
coord
- the vertex at which to start the searchmaxVertices
- the maximum number of vertices to process before terminating the searchmaxDepth
- the maximum edge distance (the number of edges in a shortest path between vertices) a vertex should have to be considered for processing. If a vertex has a distance larger than the maxDepth, it will not be added to the returned graph- Returns:
- a Graph object containing all the processed vertices, and the edges from which each vertex was encountered.
The vertices and edges in the returned graph will be in the order they were encountered in the search, and this will be
reflected in the iteration order of the collections returned by
Graph.getVertices()
andGraph.getEdges()
.
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breadthFirstSearch
Perform a breadth first search starting from the specified vertex.- Parameters:
coord
- the vertex at which to start the search- Returns:
- a Graph object containing all the processed vertices (all the vertices in this graph), and the edges from which each vertex was encountered.
The vertices and edges in the returned graph will be in the order they were encountered in the search, and this will be
reflected in the iteration order of the collections returned by
Graph.getVertices()
andGraph.getEdges()
.
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depthFirstSearch
Perform a depth first search starting from the specified vertex.- Parameters:
coord
- the vertex at which to start the searchmaxVertices
- the maximum number of vertices to process before terminating the searchmaxDepth
- the maximum edge distance (the number of edges in a shortest path between vertices) a vertex should have to be considered for processing. If a vertex has a distance larger than the maxDepth, it will not be added to the returned graph- Returns:
- a Graph object containing all the processed vertices, and the edges from which each vertex was encountered.
The vertices and edges in the returned graph will be in the order they were encountered in the search, and this will be
reflected in the iteration order of the collections returned by
Graph.getVertices()
andGraph.getEdges()
.
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depthFirstSearch
Perform a depth first search starting from the specified vertex.- Parameters:
coord
- the vertex at which to start the search- Returns:
- a Graph object containing all the processed vertices (all the vertices in this graph), and the edges from which each vertex was encountered.
The vertices and edges in the returned graph will be in the order they were encountered in the search, and this will be
reflected in the iteration order of the collections returned by
Graph.getVertices()
andGraph.getEdges()
.
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detectCycle
Checks whether there are any cycles in the graph using depth first searches.- Returns:
- true if the graph contains a cycle, false otherwise
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show
Creates a 1D char array (which can be passed toString.valueOf(char[])
) filled with a grid made of the vertices in this Graph and their estimated costs, if this has done an estimate. Each estimate is rounded to the nearest int and only printed if it is 4 digits or less; otherwise this puts '####' in the grid cell. This is a building-block for toString() implementations that may have debugging uses as well.- Returns:
- a 1D char array containing newline-separated rows of space-separated grid cells that contain estimated costs or '####' for unexplored
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