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+/*
+ * TDDD86 Trailblazer
+ * This file declares code to serve as an "adapter" to convert between various
+ * data types used by legacy support code and new code for the current version
+ * of this assignment.
+ * Specifically, past quarters represented a graph as a Grid<double> and each
+ * of its vertices/edges as a Loc (TBLoc) and Edge (TBEdge), while the
+ * current version of the assignment represents the graph as a BasicGraph
+ * (an extension of Stanford's Graph class) and each vertex/edge as a
+ * Node (Vertex) / Arc (Edge) object.
+ * This code converts between the two formats to help localize changes.
+ *
+ * Please do not modify this provided file. Your turned-in files should work
+ * with an unmodified version of all provided code files.
+ *
+ * Author: Marty Stepp
+ * Slight modifications by Tommy Farnqvist
+ */
+
+#ifndef _adapter_h
+#define _adapter_h
+
+#include "grid.h"
+#include "set.h"
+#include "BasicGraph.h"
+#include "types.h"
+
+/* Type: AlgorithmType
+ *
+ * An enumerated type representing the various algorithms to choose from.
+ */
+enum AlgorithmType {
+    AUTODETECT,
+    BFS,
+    DFS,
+    DIJKSTRA,
+    A_STAR
+};
+
+/*
+ * Finds the shortest path between the locations given by start and end in the
+ * specified world.  The cost of moving from one edge to the next is specified
+ * by the given cost function.  The resulting path is then returned as a
+ * Vector<Loc> containing the locations to visit in the order in which they
+ * would be visited.
+ * If no path is found, this function should report an error.
+ */
+Vector<TBLoc>
+shortestPath(TBLoc start,
+             TBLoc end,
+             const Grid<double>& world,
+             double costFn(TBLoc from, TBLoc to, const Grid<double>& world),
+             double heuristicFn(TBLoc from, TBLoc to, const Grid<double>& world),
+             AlgorithmType algorithm = AUTODETECT);
+
+// Support functions called by the GUI to improve loading times for large graphs.
+
+/*
+ * Converts the given graph into a 2D grid structure, which is returned;
+ * essentially the opposite of gridToGraph.
+ * Used to convert randomly generated mazes into grids for legacy code support.
+ */
+Grid<double>* graphToGrid(BasicGraph* graph);
+
+/*
+ * Converts the given 2D grid structure into a BasicGraph object,
+ * using the Grid to grab the vertices and the given cost function to grab
+ * the edge weights between neighbors.
+ * Returns a pointer to the graph that was created.
+ */
+BasicGraph* gridToGraph(const Grid<double>& world,
+                        double costFn(TBLoc from, TBLoc to, const Grid<double>& world));
+
+/*
+ * Makes sure that the given world has already been converted into an equivalent
+ * BasicGraph.  If it has not, does so (by calling gridToGraph) and caches the
+ * result to be used on future calls.
+ * This is done to improve runtime when very large/huge mazes and terrains are
+ * loaded and then searched multiple times by the user.
+ */
+void ensureWorldCache(const Grid<double>& world,
+                      double costFn(TBLoc from, TBLoc to, const Grid<double>& world));
+
+/*
+ * Removes all entries from the internal cache of BasicGraphs and frees
+ * any memory associated with them.
+ */
+void flushWorldCache();
+
+/*
+ * Returns a name for the given row/column location in the given world,
+ * such as "r08c17".
+ * The reason you have to pass the world is so that I know how many rows/cols
+ * it has so I can zero-pad the numbers in the string.
+ */
+string vertexName(int r, int c, const Grid<double>& world);
+
+/*
+ * (Extension)
+ *
+ * Creates a maze of the specified dimensions using a randomized version of
+ * Kruskal's algorithm, then returns a set of all of the edges in the maze.
+ *
+ * As specified in the assignment handout, the edges you should return here
+ * represent the connections between locations in the graph that are passable.
+ * Our provided starter code will then use these edges to build up a Grid
+ * representation of the maze.
+ */
+Set<TBEdge> createMaze(int numRows, int numCols);
+
+#endif