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with
Things,
Ada.Containers.Ordered_Sets,
Ada.Containers.Ordered_Maps;
package body Pathfinding is
type Node is record
X, Y : Integer;
end record;
function "<" (A, B : in Node) return Boolean is
begin
return A.X < B.X or (A.X = B.X and A.Y < B.Y);
end "<";
package Node_Sets is new Ada.Containers.Ordered_Sets
(Element_Type => Node);
package Node_To_Node_Maps is new Ada.Containers.Ordered_Maps
(Key_Type => Node, Element_Type => Node);
subtype G_Score is Integer;
subtype F_Score is Integer;
package G_Score_Maps is new Ada.Containers.Ordered_Maps
(Key_Type => Node, Element_Type => G_Score);
package F_Score_Maps is new Ada.Containers.Ordered_Maps
(Key_Type => Node, Element_Type => F_Score);
G_Scores : G_Score_Maps.Map := G_Score_Maps.Empty_Map;
F_Scores : F_Score_Maps.Map := F_Score_Maps.Empty_Map;
function F_Min
(N_Set : in Node_Sets.Set)
return Node
is
Result : Node := N_Set.First_Element;
begin
for N of N_Set loop
if F_Scores.Contains (N) then
if not F_Scores.Contains (Result) or else
F_Scores.Element (N) < F_Scores.Element (Result)
then
Result := N;
end if;
end if;
end loop;
return Result;
end F_Min;
function Reconstruct_Path
(Came_From : in Node_To_Node_Maps.Map;
Current : in Node)
return Moves.Path
is
Result : Moves.Path := Moves.Empty_Path;
Working : Node := Current;
Next : Node;
begin
while Came_From.Contains (Working) loop
Next := Came_From.Element (Working);
Result.Prefix
((Delta_X => Working.X - Next.X, Delta_Y => Working.Y - Next.Y, Push => False));
Working := Next;
end loop;
return Result;
end Reconstruct_Path;
function Heuristic
(A, B : in Node)
return Integer is
begin
return abs (A.X - B.X) + abs (A.Y - B.Y);
end Heuristic;
function Neighbours
(My_Grid : in Grids.Grid;
Current : in Node)
return Node_Sets.Set
is
use type Things.Thing;
function Valid (X, Y : in Integer) return Boolean is
begin
return My_Grid.In_Bounds (X, Y) and then
My_Grid.Get_Square (X, Y).Is_Walkable and then
My_Grid.Get_Square (X, Y).Get_Contents = Things.Nothing;
end Valid;
Result : Node_Sets.Set := Node_Sets.Empty_Set;
begin
if Valid (Current.X - 1, Current.Y) then
Result.Insert ((Current.X - 1, Current.Y));
end if;
if Valid (Current.X + 1, Current.Y) then
Result.Insert ((Current.X + 1, Current.Y));
end if;
if Valid (Current.X, Current.Y - 1) then
Result.Insert ((Current.X, Current.Y - 1));
end if;
if Valid (Current.X, Current.Y + 1) then
Result.Insert ((Current.X, Current.Y + 1));
end if;
return Result;
end Neighbours;
function A_Star
(My_Grid : in Grids.Grid;
SX, SY : in Integer;
FX, FY : in Integer)
return Moves.Path
is
use type Node_Sets.Set;
Start : Node := (X => SX, Y => SY);
Goal : Node := (X => FX, Y => FY);
Current : Node;
Closed_Set : Node_Sets.Set := Node_Sets.Empty_Set;
Open_Set : Node_Sets.Set := Node_Sets.To_Set (Start);
Came_From : Node_To_Node_Maps.Map := Node_To_Node_Maps.Empty_Map;
begin
G_Scores := G_Score_Maps.Empty_Map;
G_Scores.Insert (Start, 0);
F_Scores := F_Score_Maps.Empty_Map;
F_Scores.Insert (Start, Heuristic (Start, Goal));
-- This is a textbook implementation of A* search.
while Open_Set /= Node_Sets.Empty_Set loop
Current := F_Min (Open_Set);
if Current = Goal then
return Reconstruct_Path (Came_From, Current);
end if;
Open_Set.Delete (Current);
Closed_Set.Insert (Current);
for N of Neighbours (My_Grid, Current) loop
if not Closed_Set.Contains (N) then
if not Open_Set.Contains (N) then
Open_Set.Insert (N);
end if;
declare
New_G_Score : G_Score := G_Scores.Element (Current) + 1;
New_F_Score : F_Score := New_G_Score + Heuristic (N, Goal);
begin
if not G_Scores.Contains (N) or else
New_G_Score < G_Scores.Element (N)
then
Came_From.Insert (N, Current);
G_Scores.Insert (N, New_G_Score);
F_Scores.Insert (N, New_F_Score);
end if;
end;
end if;
end loop;
end loop;
-- And this is a modification to get as close as possible
-- if the goal is out of reach.
for N of Closed_Set loop
if Heuristic (N, Goal) < Heuristic (Current, Goal) then
Current := N;
end if;
end loop;
return Reconstruct_Path (Came_From, Current);
end A_Star;
end Pathfinding;
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