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- 0.6.1 + 0.6.2
-
+ @@ -51,48 +51,49 @@
diff --git a/_modules/pathfinding3d/core/diagonal_movement.html b/_modules/pathfinding3d/core/diagonal_movement.html index 61b5e6c..ef7f625 100644 --- a/_modules/pathfinding3d/core/diagonal_movement.html +++ b/_modules/pathfinding3d/core/diagonal_movement.html @@ -3,7 +3,7 @@ - pathfinding3d.core.diagonal_movement — pathfinding3d 0.6.1 documentation + pathfinding3d.core.diagonal_movement — pathfinding3d 0.6.2 documentation @@ -17,7 +17,7 @@ - + @@ -39,7 +39,7 @@ pathfinding3d
- 0.6.1 + 0.6.2
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -126,7 +127,7 @@

      Source code for pathfinding3d.core.diagonal_movement

      -
      [docs]class DiagonalMovement:
+
      [docs]class DiagonalMovement:
     """Enum for diagonal movement"""
 
     always = 1
diff --git a/_modules/pathfinding3d/core/grid.html b/_modules/pathfinding3d/core/grid.html
index 41ca60c..b74ce1c 100644
--- a/_modules/pathfinding3d/core/grid.html
+++ b/_modules/pathfinding3d/core/grid.html
@@ -3,7 +3,7 @@
 
   
   
-  pathfinding3d.core.grid — pathfinding3d 0.6.1 documentation
+  pathfinding3d.core.grid — pathfinding3d 0.6.2 documentation
       
       
       
@@ -17,7 +17,7 @@
   
         
         
-        
+        
         
         
         
@@ -39,7 +39,7 @@
             pathfinding3d
           
               
      
-                0.6.1
+                0.6.2
               
      
 
      
   
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -138,7 +139,7 @@

      Source code for pathfinding3d.core.grid

       MatrixType = Optional[Union[List[List[List[int]]], np.ndarray]]
 
 
-
      [docs]def build_nodes(
+
      [docs]def build_nodes(
     width: int,
     height: int,
     depth: int,
@@ -194,12 +195,12 @@ 
      Source code for pathfinding3d.core.grid
           return nodes
      
 
 
-
      [docs]class Grid:
+
      [docs]class Grid:
     """
     A grid represents the map (as 3d-list of nodes).
     """
 
-
      [docs]    def __init__(
+
      [docs]    def __init__(
         self,
         width: int = 0,
         height: int = 0,
@@ -234,7 +235,7 @@ 
      Source code for pathfinding3d.core.grid
                   else [[[]]]
         )
      
 
-
      [docs]    def _validate_dimensions(self, width: int, height: int, depth: int, matrix: MatrixType) -> tuple:
+
      [docs]    def _validate_dimensions(self, width: int, height: int, depth: int, matrix: MatrixType) -> tuple:
         if matrix is not None:
             if not (
                 isinstance(matrix, (list, np.ndarray))
@@ -246,7 +247,7 @@ 
      Source code for pathfinding3d.core.grid
                   return len(matrix), len(matrix[0]), len(matrix[0][0])
         return width, height, depth
      
 
-
      [docs]    def is_valid_grid(self) -> bool:
+
      [docs]    def is_valid_grid(self) -> bool:
         """
         Check if grid is valid
 
@@ -257,7 +258,7 @@ 
      Source code for pathfinding3d.core.grid
               """
         return self.width > 0 and self.height > 0 and self.depth > 0
      
 
-
      [docs]    def node(self, x: int, y: int, z: int) -> Optional[GridNode]:
+
      [docs]    def node(self, x: int, y: int, z: int) -> Optional[GridNode]:
         """
         Get node at position
 
@@ -277,7 +278,7 @@ 
      Source code for pathfinding3d.core.grid
               """
         return self.nodes[x][y][z] if self.inside(x, y, z) else None
      
 
-
      [docs]    def inside(self, x: int, y: int, z: int) -> bool:
+
      [docs]    def inside(self, x: int, y: int, z: int) -> bool:
         """
         Check, if field position is inside map
 
@@ -297,7 +298,7 @@ 
      Source code for pathfinding3d.core.grid
               """
         return 0 <= x < self.width and 0 <= y < self.height and 0 <= z < self.depth
      
 
-
      [docs]    def walkable(self, x: int, y: int, z: int) -> bool:
+
      [docs]    def walkable(self, x: int, y: int, z: int) -> bool:
         """
         Check, if the tile is inside grid and if it is set as walkable
 
@@ -317,7 +318,7 @@ 
      Source code for pathfinding3d.core.grid
               """
         return self.inside(x, y, z) and self.nodes[x][y][z].walkable
      
 
-
      [docs]    @lru_cache(maxsize=128)
+
      [docs]    @lru_cache(maxsize=128)
     def _calc_cost(self, dx: int, dy: int, dz: int) -> float:
         """
         Get the distance between current node and the neighbor (cost)
@@ -338,7 +339,7 @@ 
      Source code for pathfinding3d.core.grid
               """
         return math.sqrt(dx * dx + dy * dy + dz * dz)
      
 
-
      [docs]    def calc_cost(self, node_a: GridNode, node_b: GridNode, weighted: bool = False) -> float:
+
      [docs]    def calc_cost(self, node_a: GridNode, node_b: GridNode, weighted: bool = False) -> float:
         """
         Get the distance between current node and the neighbor (cost)
 
@@ -369,7 +370,7 @@ 
      Source code for pathfinding3d.core.grid
       
         return ng
      
 
-
      [docs]    def neighbors(
+
      [docs]    def neighbors(
         self,
         node: GridNode,
         diagonal_movement: int = DiagonalMovement.never,
@@ -607,7 +608,7 @@ 
      Source code for pathfinding3d.core.grid
       
         return neighbors
      
 
-
      [docs]    def cleanup(self):
+
      [docs]    def cleanup(self):
         """
         Cleanup grid
         """
diff --git a/_modules/pathfinding3d/core/heap.html b/_modules/pathfinding3d/core/heap.html
index 408b03b..35e7ad2 100644
--- a/_modules/pathfinding3d/core/heap.html
+++ b/_modules/pathfinding3d/core/heap.html
@@ -3,7 +3,7 @@
 
   
   
-  pathfinding3d.core.heap — pathfinding3d 0.6.1 documentation
+  pathfinding3d.core.heap — pathfinding3d 0.6.2 documentation
       
       
       
@@ -17,7 +17,7 @@
   
         
         
-        
+        
         
         
         
@@ -39,7 +39,7 @@
             pathfinding3d
           
               
      
-                0.6.1
+                0.6.2
               
      
 
      
   
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -139,13 +140,13 @@

      Source code for pathfinding3d.core.heap

       from .world import World
 
 
-
      [docs]class SimpleHeap:
+
      [docs]class SimpleHeap:
     """
     A simple implementation of a heap data structure optimized for pathfinding.
     It maintains an open list of nodes, a status for each node, and a function to retrieve nodes.
     """
 
-
      [docs]    def __init__(self, node: GridNode, grid: Union[Grid, World]):
+
      [docs]    def __init__(self, node: GridNode, grid: Union[Grid, World]):
         """
         Initializes the SimpleHeap with a given node and grid.
 
@@ -165,7 +166,7 @@ 
      Source code for pathfinding3d.core.heap
               self.heap_order = {}
         self.number_pushed = 0
      
 
-
      [docs]    def _determine_node_retrieval_function(self) -> Callable:
+
      [docs]    def _determine_node_retrieval_function(self) -> Callable:
         """
         Determines the node retrieval function based on the type of grid.
 
@@ -187,7 +188,7 @@ 
      Source code for pathfinding3d.core.heap
       
         raise ValueError("Unsupported grid type")
      
 
-
      [docs]    def _determine_node_function(self) -> Callable:
+
      [docs]    def _determine_node_function(self) -> Callable:
         """
         Determines the node function based on the type of grid.
 
@@ -210,7 +211,7 @@ 
      Source code for pathfinding3d.core.heap
       
         raise ValueError("Unsupported grid type")
      
 
-
      [docs]    def pop_node(self) -> GridNode:
+
      [docs]    def pop_node(self) -> GridNode:
         """
         Pops the node with the lowest cost from the heap.
 
@@ -225,7 +226,7 @@ 
      Source code for pathfinding3d.core.heap
       
         return self._get_node(node_tuple)
      
 
-
      [docs]    def push_node(self, node: GridNode):
+
      [docs]    def push_node(self, node: GridNode):
         """
         Pushes a node to the heap.
 
@@ -241,7 +242,7 @@ 
      Source code for pathfinding3d.core.heap
       
         heapq.heappush(self.open_list, node_tuple)
      
 
-
      [docs]    def remove_node(self, node: GridNode, old_f: float):
+
      [docs]    def remove_node(self, node: GridNode, old_f: float):
         """
         Remove the node from the heap.
 
diff --git a/_modules/pathfinding3d/core/heuristic.html b/_modules/pathfinding3d/core/heuristic.html
index 45d5275..f37e91f 100644
--- a/_modules/pathfinding3d/core/heuristic.html
+++ b/_modules/pathfinding3d/core/heuristic.html
@@ -3,7 +3,7 @@
 
   
   
-  pathfinding3d.core.heuristic — pathfinding3d 0.6.1 documentation
+  pathfinding3d.core.heuristic — pathfinding3d 0.6.2 documentation
       
       
       
@@ -17,7 +17,7 @@
   
         
         
-        
+        
         
         
         
@@ -39,7 +39,7 @@
             pathfinding3d
           
               
      
-                0.6.1
+                0.6.2
               
      
 
      
   
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -132,7 +133,7 @@

      Source code for pathfinding3d.core.heuristic

      from .util import SQRT2_MINUS_1, SQRT3_MINUS_SQRT2
 
 
-
      [docs]def null(dx: Union[int, float], dy: Union[int, float], dz: Union[int, float]) -> float:
+
      [docs]def null(dx: Union[int, float], dy: Union[int, float], dz: Union[int, float]) -> float:
     """
     Special heuristic for Dijkstra
     return 0, so node.h will always be calculated as 0,
@@ -156,7 +157,7 @@ 
      Source code for pathfinding3d.core.heuristic
      return 0.0
      
 
 
-
      [docs]def manhattan(dx: Union[int, float], dy: Union[int, float], dz: Union[int, float]) -> float:
+
      [docs]def manhattan(dx: Union[int, float], dy: Union[int, float], dz: Union[int, float]) -> float:
     """Manhattan heuristics
 
     Parameters
@@ -176,7 +177,7 @@ 
      Source code for pathfinding3d.core.heuristic
      return dx + dy + dz
      
 
 
-
      [docs]def euclidean(dx: Union[int, float], dy: Union[int, float], dz: Union[int, float]) -> float:
+
      [docs]def euclidean(dx: Union[int, float], dy: Union[int, float], dz: Union[int, float]) -> float:
     """Euclidean distance heuristics
 
     Parameters
@@ -196,7 +197,7 @@ 
      Source code for pathfinding3d.core.heuristic
      return math.sqrt(dx * dx + dy * dy + dz * dz)
      
 
 
-
      [docs]def chebyshev(dx: Union[int, float], dy: Union[int, float], dz: Union[int, float]) -> float:
+
      [docs]def chebyshev(dx: Union[int, float], dy: Union[int, float], dz: Union[int, float]) -> float:
     """Chebyshev distance.
 
     Parameters
@@ -216,7 +217,7 @@ 
      Source code for pathfinding3d.core.heuristic
      return max(dx, dy, dz)
      
 
 
-
      [docs]def octile(dx: Union[int, float], dy: Union[int, float], dz: Union[int, float]) -> float:
+
      [docs]def octile(dx: Union[int, float], dy: Union[int, float], dz: Union[int, float]) -> float:
     """Octile distance.
 
     Parameters
diff --git a/_modules/pathfinding3d/core/node.html b/_modules/pathfinding3d/core/node.html
index 4ed8959..89903ca 100644
--- a/_modules/pathfinding3d/core/node.html
+++ b/_modules/pathfinding3d/core/node.html
@@ -3,7 +3,7 @@
 
   
   
-  pathfinding3d.core.node — pathfinding3d 0.6.1 documentation
+  pathfinding3d.core.node — pathfinding3d 0.6.2 documentation
       
       
       
@@ -17,7 +17,7 @@
   
         
         
-        
+        
         
         
         
@@ -39,7 +39,7 @@
             pathfinding3d
           
               
      
-                0.6.1
+                0.6.2
               
      
 
      
   
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -130,7 +131,7 @@

      Source code for pathfinding3d.core.node

       from typing import List, Optional, Tuple
 
 
-
      [docs]@dataclasses.dataclass
+
      [docs]@dataclasses.dataclass
 class Node:
     """
     Basic node class, saves calculated values for pathfinding
@@ -157,13 +158,13 @@ 
      Source code for pathfinding3d.core.node
       
     __slots__ = ["h", "g", "f", "opened", "closed", "parent", "retain_count", "tested"]
 
-
      [docs]    def __init__(self):
+
      [docs]    def __init__(self):
         self.cleanup()
      
 
     def __lt__(self, other: "Node") -> bool:
         return self.f < other.f
 
-
      [docs]    def cleanup(self):
+
      [docs]    def cleanup(self):
         """
         Reset all calculated values, fresh start for pathfinding
         """
@@ -189,7 +190,7 @@ 
      Source code for pathfinding3d.core.node
               self.tested = False
      
 
 
-
      [docs]@dataclasses.dataclass
+
      [docs]@dataclasses.dataclass
 class GridNode(Node):
     """
     Basic node in a grid.
@@ -245,7 +246,7 @@ 
      Source code for pathfinding3d.core.node
               if self.grid_id is not None:
             yield self.grid_id
 
-
      [docs]    def connect(self, other_node: "GridNode"):
+
      [docs]    def connect(self, other_node: "GridNode"):
         """
         Connect this node to another node.
 
diff --git a/_modules/pathfinding3d/core/util.html b/_modules/pathfinding3d/core/util.html
index aaea4ad..00a97e0 100644
--- a/_modules/pathfinding3d/core/util.html
+++ b/_modules/pathfinding3d/core/util.html
@@ -3,7 +3,7 @@
 
   
   
-  pathfinding3d.core.util — pathfinding3d 0.6.1 documentation
+  pathfinding3d.core.util — pathfinding3d 0.6.2 documentation
       
       
       
@@ -17,7 +17,7 @@
   
         
         
-        
+        
         
         
         
@@ -39,7 +39,7 @@
             pathfinding3d
           
               
      
-                0.6.1
+                0.6.2
               
      
 
      
   
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -145,7 +146,7 @@

      Source code for pathfinding3d.core.util

       Coords = Tuple[float, float, float]
 
 
-
      [docs]def backtrace(node: GridNode) -> List[GridNode]:
+
      [docs]def backtrace(node: GridNode) -> List[GridNode]:
     """
     Backtrace according to the parent records and return the path.
     (including both start and end nodes)
@@ -168,7 +169,7 @@ 
      Source code for pathfinding3d.core.util
           return path
      
 
 
-
      [docs]def bi_backtrace(node_a: GridNode, node_b: GridNode) -> List[GridNode]:
+
      [docs]def bi_backtrace(node_a: GridNode, node_b: GridNode) -> List[GridNode]:
     """
     Backtrace from start and end node, returns the path for bi-directional A*
     (including both start and end nodes)
@@ -191,7 +192,7 @@ 
      Source code for pathfinding3d.core.util
           return path_a + path_b
      
 
 
-
      [docs]def raytrace(coords_a: Coords, coords_b: Coords) -> List[List[float]]:
+
      [docs]def raytrace(coords_a: Coords, coords_b: Coords) -> List[List[float]]:
     """
     Given the start and end coordinates, return all the coordinates lying
     on the line formed by these coordinates, based on ray tracing.
@@ -250,7 +251,7 @@ 
      Source code for pathfinding3d.core.util
           return line
      
 
 
-
      [docs]def bresenham(coords_a: Coords, coords_b: Coords) -> List[List[float]]:
+
      [docs]def bresenham(coords_a: Coords, coords_b: Coords) -> List[List[float]]:
     """
     Given the start and end coordinates, return all the coordinates lying
     on the line formed by these coordinates, based on Bresenham's algorithm.
@@ -328,7 +329,7 @@ 
      Source code for pathfinding3d.core.util
           return line
      
 
 
-
      [docs]def expand_path(path: List[Coords]) -> List[Coords]:
+
      [docs]def expand_path(path: List[Coords]) -> List[Coords]:
     """
     Given a compressed path, return a new path that has all the segments
     in it interpolated.
@@ -353,7 +354,7 @@ 
      Source code for pathfinding3d.core.util
           return expanded
      
 
 
-
      [docs]def smoothen_path(grid: Grid, path: List[Coords], use_raytrace: bool = False) -> List[List[float]]:
+
      [docs]def smoothen_path(grid: Grid, path: List[Coords], use_raytrace: bool = False) -> List[List[float]]:
     """
     Given an uncompressed path, return a new path that has less
     turnings and looks more natural.
@@ -393,7 +394,7 @@ 
      Source code for pathfinding3d.core.util
           return new_path
      
 
 
-
      [docs]def line_of_sight(grid: Grid, node1: GridNode, node2: GridNode) -> bool:
+
      [docs]def line_of_sight(grid: Grid, node1: GridNode, node2: GridNode) -> bool:
     """
     Check if there is a line of sight between two nodes using Bresenham's algorithm
 
diff --git a/_modules/pathfinding3d/core/world.html b/_modules/pathfinding3d/core/world.html
index 6b93cbd..85145f7 100644
--- a/_modules/pathfinding3d/core/world.html
+++ b/_modules/pathfinding3d/core/world.html
@@ -3,7 +3,7 @@
 
   
   
-  pathfinding3d.core.world — pathfinding3d 0.6.1 documentation
+  pathfinding3d.core.world — pathfinding3d 0.6.2 documentation
       
       
       
@@ -17,7 +17,7 @@
   
         
         
-        
+        
         
         
         
@@ -39,7 +39,7 @@
             pathfinding3d
           
               
      
-                0.6.1
+                0.6.2
               
      
 
      
   
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -133,12 +134,12 @@

      Source code for pathfinding3d.core.world

       
 
 # a world connects grids but can have multiple grids.
-
      [docs]class World:
+
      [docs]class World:
     """
     A world connects grids but can have multiple grids.
     """
 
-
      [docs]    def __init__(self, grids: Dict[int, Grid]):
+
      [docs]    def __init__(self, grids: Dict[int, Grid]):
         """
         Initialize a new world.
 
@@ -149,7 +150,7 @@ 
      Source code for pathfinding3d.core.world
               """
         self.grids = grids
      
 
-
      [docs]    def neighbors(self, node: GridNode, diagonal_movement: int) -> List[GridNode]:
+
      [docs]    def neighbors(self, node: GridNode, diagonal_movement: int) -> List[GridNode]:
         """
         Get neighbors of the given node.
 
@@ -169,7 +170,7 @@ 
      Source code for pathfinding3d.core.world
       
         return self.grids[node.grid_id].neighbors(node, diagonal_movement=diagonal_movement)
      
 
-
      [docs]    def calc_cost(self, node_a: GridNode, node_b: GridNode, weighted: bool = False) -> float:
+
      [docs]    def calc_cost(self, node_a: GridNode, node_b: GridNode, weighted: bool = False) -> float:
         """
         Calculate the cost between two nodes.
 
@@ -191,7 +192,7 @@ 
      Source code for pathfinding3d.core.world
               # grids as well, for now we ignore switching grids
         return self.grids[node_a.grid_id].calc_cost(node_a, node_b, weighted=weighted)
      
 
-
      [docs]    def cleanup(self):
+
      [docs]    def cleanup(self):
         """
         Cleanup all grids in this world.
         """
diff --git a/_modules/pathfinding3d/finder/a_star.html b/_modules/pathfinding3d/finder/a_star.html
index f4b955c..066eb2c 100644
--- a/_modules/pathfinding3d/finder/a_star.html
+++ b/_modules/pathfinding3d/finder/a_star.html
@@ -3,7 +3,7 @@
 
   
   
-  pathfinding3d.finder.a_star — pathfinding3d 0.6.1 documentation
+  pathfinding3d.finder.a_star — pathfinding3d 0.6.2 documentation
       
       
       
@@ -17,7 +17,7 @@
   
         
         
-        
+        
         
         
         
@@ -39,7 +39,7 @@
             pathfinding3d
           
               
      
-                0.6.1
+                0.6.2
               
      
 
      
   
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -136,8 +137,8 @@

      Source code for pathfinding3d.finder.a_star

       from .finder import BY_END, MAX_RUNS, TIME_LIMIT, Finder
 
 
-
      [docs]class AStarFinder(Finder):
-
      [docs]    def __init__(
+
      [docs]class AStarFinder(Finder):
+
      [docs]    def __init__(
         self,
         heuristic: Optional[Callable] = None,
         weight: int = 1,
@@ -182,7 +183,7 @@ 
      Source code for pathfinding3d.finder.a_star
                       # not admissible it should be octile instead
                 self.heuristic = octile
      
 
-
      [docs]    def check_neighbors(
+
      [docs]    def check_neighbors(
         self,
         start: GridNode,
         end: GridNode,
@@ -242,7 +243,7 @@ 
      Source code for pathfinding3d.finder.a_star
               # the end has not been reached (yet) keep the find_path loop running
         return None
      
 
-
      [docs]    def find_path(self, start: GridNode, end: GridNode, grid: Grid) -> Tuple[List, int]:
+
      [docs]    def find_path(self, start: GridNode, end: GridNode, grid: Grid) -> Tuple[List, int]:
         """
         Find a path from start to end node on grid using the A* algorithm
 
diff --git a/_modules/pathfinding3d/finder/best_first.html b/_modules/pathfinding3d/finder/best_first.html
index 0beb21d..3be697f 100644
--- a/_modules/pathfinding3d/finder/best_first.html
+++ b/_modules/pathfinding3d/finder/best_first.html
@@ -3,7 +3,7 @@
 
   
   
-  pathfinding3d.finder.best_first — pathfinding3d 0.6.1 documentation
+  pathfinding3d.finder.best_first — pathfinding3d 0.6.2 documentation
       
       
       
@@ -17,7 +17,7 @@
   
         
         
-        
+        
         
         
         
@@ -39,7 +39,7 @@
             pathfinding3d
           
               
      
-                0.6.1
+                0.6.2
               
      
 
      
   
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -133,12 +134,12 @@

      Source code for pathfinding3d.finder.best_first

      < from .a_star import MAX_RUNS, TIME_LIMIT, AStarFinder -
      [docs]class BestFirst(AStarFinder): +
      [docs]class BestFirst(AStarFinder): """ Similar to the default A* algorithm from a_star. """ -
      [docs] def __init__( +
      [docs] def __init__( self, heuristic: Optional[Callable] = None, weight: int = 1, @@ -176,7 +177,7 @@

      Source code for pathfinding3d.finder.best_first

      < self.weighted = False
      -
      [docs] def apply_heuristic(self, node_a: GridNode, node_b: GridNode, heuristic: Optional[Callable] = None) -> float: +
      [docs] def apply_heuristic(self, node_a: GridNode, node_b: GridNode, heuristic: Optional[Callable] = None) -> float: """ Helper function to apply heuristic diff --git a/_modules/pathfinding3d/finder/bi_a_star.html b/_modules/pathfinding3d/finder/bi_a_star.html index ca09404..8849ede 100644 --- a/_modules/pathfinding3d/finder/bi_a_star.html +++ b/_modules/pathfinding3d/finder/bi_a_star.html @@ -3,7 +3,7 @@ - pathfinding3d.finder.bi_a_star — pathfinding3d 0.6.1 documentation + pathfinding3d.finder.bi_a_star — pathfinding3d 0.6.2 documentation @@ -17,7 +17,7 @@ - + @@ -39,7 +39,7 @@ pathfinding3d
      - 0.6.1 + 0.6.2
      @@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -137,12 +138,12 @@

      Source code for pathfinding3d.finder.bi_a_star

      from .finder import BY_END, BY_START, MAX_RUNS, TIME_LIMIT -

      [docs]class BiAStarFinder(AStarFinder): +
      [docs]class BiAStarFinder(AStarFinder): """ Similar to the default A* algorithm from a_star. """ -
      [docs] def __init__( +
      [docs] def __init__( self, heuristic: Optional[Callable] = None, weight: int = 1, @@ -178,7 +179,7 @@

      Source code for pathfinding3d.finder.bi_a_star

      max_runs=max_runs, )

      -
      [docs] def find_path(self, start: GridNode, end: GridNode, grid: Grid) -> Tuple[List, int]: +
      [docs] def find_path(self, start: GridNode, end: GridNode, grid: Grid) -> Tuple[List, int]: """ Find a path from start to end node on grid using the A* algorithm diff --git a/_modules/pathfinding3d/finder/breadth_first.html b/_modules/pathfinding3d/finder/breadth_first.html index 48ca566..ceb0aa4 100644 --- a/_modules/pathfinding3d/finder/breadth_first.html +++ b/_modules/pathfinding3d/finder/breadth_first.html @@ -3,7 +3,7 @@ - pathfinding3d.finder.breadth_first — pathfinding3d 0.6.1 documentation + pathfinding3d.finder.breadth_first — pathfinding3d 0.6.2 documentation @@ -17,7 +17,7 @@ - + @@ -39,7 +39,7 @@ pathfinding3d
      - 0.6.1 + 0.6.2
      @@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -135,8 +136,8 @@

      Source code for pathfinding3d.finder.breadth_first

      from .finder import MAX_RUNS, TIME_LIMIT, Finder -
      [docs]class BreadthFirstFinder(Finder): -
      [docs] def __init__( +
      [docs]class BreadthFirstFinder(Finder): +
      [docs] def __init__( self, heuristic: Optional[Callable] = None, weight: int = 1, @@ -173,7 +174,7 @@

      Source code for pathfinding3d.finder.breadth_first

      max_runs=max_runs, )
      -
      [docs] def check_neighbors( +
      [docs] def check_neighbors( self, start: GridNode, end: GridNode, diff --git a/_modules/pathfinding3d/finder/dijkstra.html b/_modules/pathfinding3d/finder/dijkstra.html index 2aaac34..b11e1ad 100644 --- a/_modules/pathfinding3d/finder/dijkstra.html +++ b/_modules/pathfinding3d/finder/dijkstra.html @@ -3,7 +3,7 @@ - pathfinding3d.finder.dijkstra — pathfinding3d 0.6.1 documentation + pathfinding3d.finder.dijkstra — pathfinding3d 0.6.2 documentation @@ -17,7 +17,7 @@ - + @@ -39,7 +39,7 @@ pathfinding3d
      - 0.6.1 + 0.6.2
      @@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -134,8 +135,8 @@

      Source code for pathfinding3d.finder.dijkstra

      from .a_star import MAX_RUNS, TIME_LIMIT, AStarFinder -
      [docs]class DijkstraFinder(AStarFinder): -
      [docs] def __init__( +
      [docs]class DijkstraFinder(AStarFinder): +
      [docs] def __init__( self, weight: int = 1, diagonal_movement: int = DiagonalMovement.never, @@ -168,7 +169,7 @@

      Source code for pathfinding3d.finder.dijkstra

      max_runs=max_runs, )
      -
      [docs] def apply_heuristic(self, node_a: Node, node_b: Node, heuristic: Optional[Callable] = None) -> float: +
      [docs] def apply_heuristic(self, node_a: Node, node_b: Node, heuristic: Optional[Callable] = None) -> float: """ Helper function to apply heuristic diff --git a/_modules/pathfinding3d/finder/finder.html b/_modules/pathfinding3d/finder/finder.html index ee87eb6..034b26a 100644 --- a/_modules/pathfinding3d/finder/finder.html +++ b/_modules/pathfinding3d/finder/finder.html @@ -3,7 +3,7 @@ - pathfinding3d.finder.finder — pathfinding3d 0.6.1 documentation + pathfinding3d.finder.finder — pathfinding3d 0.6.2 documentation @@ -17,7 +17,7 @@ - + @@ -39,7 +39,7 @@ pathfinding3d
      - 0.6.1 + 0.6.2
      @@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -144,18 +145,18 @@

      Source code for pathfinding3d.finder.finder

       BY_END = 2
 
 
-
      [docs]class ExecutionTimeException(Exception):
-
      [docs]    def __init__(self, message):
+
      [docs]class ExecutionTimeException(Exception):
+
      [docs]    def __init__(self, message):
         super().__init__(message)
      
 
 
-
      [docs]class ExecutionRunsException(Exception):
-
      [docs]    def __init__(self, message):
+
      [docs]class ExecutionRunsException(Exception):
+
      [docs]    def __init__(self, message):
         super().__init__(message)
      
 
 
-
      [docs]class Finder:
-
      [docs]    def __init__(
+
      [docs]class Finder:
+
      [docs]    def __init__(
         self,
         heuristic: Optional[Callable] = None,
         weight: int = 1,
@@ -197,7 +198,7 @@ 
      Source code for pathfinding3d.finder.finder
               self.start_time: float = 0.0
         self.runs: int = 0
      
 
-
      [docs]    def apply_heuristic(self, node_a: GridNode, node_b: GridNode, heuristic: Optional[Callable] = None) -> float:
+
      [docs]    def apply_heuristic(self, node_a: GridNode, node_b: GridNode, heuristic: Optional[Callable] = None) -> float:
         """
         Helper function to apply heuristic
 
@@ -223,7 +224,7 @@ 
      Source code for pathfinding3d.finder.finder
                   abs(node_a.z - node_b.z),
         )
      
 
-
      [docs]    def find_neighbors(
+
      [docs]    def find_neighbors(
         self,
         grid: Grid,
         node: GridNode,
@@ -251,7 +252,7 @@ 
      Source code for pathfinding3d.finder.finder
                   diagonal_movement = self.diagonal_movement
         return grid.neighbors(node, diagonal_movement=diagonal_movement)
      
 
-
      [docs]    def keep_running(self):
+
      [docs]    def keep_running(self):
         """
         Check, if we run into time or iteration constrains.
 
@@ -273,7 +274,7 @@ 
      Source code for pathfinding3d.finder.finder
                       f"{self.__class__.__name__} took longer than {self.time_limit} seconds, aborting!"
             )
      
 
-
      [docs]    def process_node(
+
      [docs]    def process_node(
         self,
         grid: Grid,
         node: GridNode,
@@ -325,7 +326,7 @@ 
      Source code for pathfinding3d.finder.finder
                       open_list.remove_node(node, old_f)
                 open_list.push_node(node)
      
 
-
      [docs]    def check_neighbors(
+
      [docs]    def check_neighbors(
         self,
         start: GridNode,
         end: GridNode,
@@ -356,7 +357,7 @@ 
      Source code for pathfinding3d.finder.finder
               """
         raise NotImplementedError("Please implement check_neighbors in your finder")
      
 
-
      [docs]    def find_path(self, start: GridNode, end: GridNode, grid: Grid) -> Tuple[List, int]:
+
      [docs]    def find_path(self, start: GridNode, end: GridNode, grid: Grid) -> Tuple[List, int]:
         """
         Find a path from start to end node on grid by iterating over
         all neighbors of a node (see check_neighbors)
diff --git a/_modules/pathfinding3d/finder/ida_star.html b/_modules/pathfinding3d/finder/ida_star.html
index f03e896..8478c1d 100644
--- a/_modules/pathfinding3d/finder/ida_star.html
+++ b/_modules/pathfinding3d/finder/ida_star.html
@@ -3,7 +3,7 @@
 
   
   
-  pathfinding3d.finder.ida_star — pathfinding3d 0.6.1 documentation
+  pathfinding3d.finder.ida_star — pathfinding3d 0.6.2 documentation
       
       
       
@@ -17,7 +17,7 @@
   
         
         
-        
+        
         
         
         
@@ -39,7 +39,7 @@
             pathfinding3d
           
               
      
-                0.6.1
+                0.6.2
               
      
 
      
   
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -136,7 +137,7 @@

      Source code for pathfinding3d.finder.ida_star

      from .finder import MAX_RUNS, TIME_LIMIT, Finder -
      [docs]class IDAStarFinder(Finder): +
      [docs]class IDAStarFinder(Finder): """ Iterative Deeping A Star (IDA*) path-finder. @@ -153,7 +154,7 @@

      Source code for pathfinding3d.finder.ida_star

      (www.gerardmeier.com) """ -
      [docs] def __init__( +
      [docs] def __init__( self, heuristic: Optional[Callable] = None, weight: int = 1, @@ -203,7 +204,7 @@

      Source code for pathfinding3d.finder.ida_star

      self.nodes_visited: int
      -
      [docs] def search( +
      [docs] def search( self, node: GridNode, g: float, @@ -299,7 +300,7 @@

      Source code for pathfinding3d.finder.ida_star

      return min_t
      -
      [docs] def find_path(self, start: GridNode, end: GridNode, grid: Grid) -> Tuple[List, int]: +
      [docs] def find_path(self, start: GridNode, end: GridNode, grid: Grid) -> Tuple[List, int]: """ Find a path from start to end node on grid using the IDA* algorithm diff --git a/_modules/pathfinding3d/finder/msp.html b/_modules/pathfinding3d/finder/msp.html index 0459144..2af4ac1 100644 --- a/_modules/pathfinding3d/finder/msp.html +++ b/_modules/pathfinding3d/finder/msp.html @@ -3,7 +3,7 @@ - pathfinding3d.finder.msp — pathfinding3d 0.6.1 documentation + pathfinding3d.finder.msp — pathfinding3d 0.6.2 documentation @@ -17,7 +17,7 @@ - + @@ -39,7 +39,7 @@ pathfinding3d
      - 0.6.1 + 0.6.2
      @@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
      @@ -137,7 +138,7 @@

      Source code for pathfinding3d.finder.msp

       from ..finder.finder import Finder
 
 
-
      [docs]class MinimumSpanningTree(Finder):
+
      [docs]class MinimumSpanningTree(Finder):
     """
     Minimum Spanning Tree implementation by Brad Beattie
     (see https://github.com/brean/python-pathfinding/issues/18)
@@ -146,11 +147,11 @@ 
      Source code for pathfinding3d.finder.msp
           https://en.wikipedia.org/wiki/Minimum_spanning_tree
     """
 
-
      [docs]    def __init__(self, *args, **kwargs):
+
      [docs]    def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self.heuristic = heuristic.null
      
 
-
      [docs]    def tree(self, grid: Grid, start: GridNode) -> List[GridNode]:
+
      [docs]    def tree(self, grid: Grid, start: GridNode) -> List[GridNode]:
         """
         Returns a list of nodes that are part of the minimum spanning tree
         of the grid.
@@ -169,7 +170,7 @@ 
      Source code for pathfinding3d.finder.msp
       
         return list(self.itertree(grid, start))
      
 
-
      [docs]    def itertree(self, grid: Grid, start: GridNode):
+
      [docs]    def itertree(self, grid: Grid, start: GridNode):
         """
         Returns a generator that yields nodes that are part of the minimum
         spanning tree of the grid.
@@ -205,7 +206,7 @@ 
      Source code for pathfinding3d.finder.msp
                       if not neighbor.closed:
                     self.process_node(grid, neighbor, node, end, open_list, open_value=True)
      
 
-
      [docs]    def find_path(self, start: GridNode, end: GridNode, grid: Grid) -> Tuple[List, int]:
+
      [docs]    def find_path(self, start: GridNode, end: GridNode, grid: Grid) -> Tuple[List, int]:
         """
         Find a path from start to end node on grid using the Minimum Spanning
         Tree algorithm
diff --git a/_modules/pathfinding3d/finder/theta_star.html b/_modules/pathfinding3d/finder/theta_star.html
new file mode 100644
index 0000000..fa48d39
--- /dev/null
+++ b/_modules/pathfinding3d/finder/theta_star.html
@@ -0,0 +1,262 @@
+
+
+
+  
+  
+  pathfinding3d.finder.theta_star — pathfinding3d 0.6.2 documentation
+      
+      
+      
+      
+      
+
+  
+  
+  
+        
+        
+        
+        
+        
+        
+        
+    
+    
+     
+
+
+ 
+  
      
+    
+
+    
      
+
+      
      
+        
      
+          
      
+  
        
+      
        • 
+          
      • Module code
        • 
+      
      • pathfinding3d.finder.theta_star
        • 
+      
      • 
+      
        • 
+  
      
+  
      
+
      
+          
      
+           
      
+             
+  
      Source code for pathfinding3d.finder.theta_star
      +import logging
+from typing import Callable, List, Union
+
+from ..core.diagonal_movement import DiagonalMovement
+from ..core.grid import Grid
+from ..core.node import GridNode
+from ..core.util import line_of_sight
+from .a_star import AStarFinder
+from .finder import MAX_RUNS, TIME_LIMIT
+
+
+
      [docs]class ThetaStarFinder(AStarFinder):
+
      [docs]    def __init__(
+        self,
+        heuristic: Callable = None,
+        weight: int = 1,
+        diagonal_movement: int = DiagonalMovement.always,
+        time_limit: float = TIME_LIMIT,
+        max_runs: Union[int, float] = MAX_RUNS,
+    ):
+        """
+        Find shortest path using Theta* algorithm
+        Diagonal movement is forced to always. Not weighted.
+
+        Parameters
+        ----------
+        heuristic : Callable
+            heuristic used to calculate distance of 2 points
+        weight : int
+            weight for the edges
+        diagonal_movement : int
+            if diagonal movement is allowed
+            (see enum in diagonal_movement)
+        time_limit : float
+            max. runtime in seconds
+        max_runs : int
+            max. amount of tries until we abort the search
+            (optional, only if we enter huge grids and have time constrains)
+            <=0 means there are no constrains and the code might run on any
+            large map.
+        """
+
+        if diagonal_movement != DiagonalMovement.always:
+            logging.warning("Diagonal movement is forced to always for Theta*")
+        diagonal_movement = DiagonalMovement.always
+
+        super().__init__(
+            heuristic=heuristic,
+            weight=weight,
+            diagonal_movement=diagonal_movement,
+            time_limit=time_limit,
+            max_runs=max_runs,
+        )
+
+        self.weighted = False
      
+
+
      [docs]    def process_node(
+        self,
+        grid: Grid,
+        node: GridNode,
+        parent: GridNode,
+        end: GridNode,
+        open_list: List,
+        open_value: int = 1,
+    ):
+        """
+        Check if we can reach the grandparent node directly from the current node
+        and if so, skip the parent.
+
+        Parameters
+        ----------
+        grid : Grid
+            grid that stores all possible steps/tiles as 3D-list
+        node : GridNode
+            the node we like to test
+        parent : GridNode
+            the parent node (of the current node we like to test)
+        end : GridNode
+            the end point to calculate the cost of the path
+        open_list : List
+            the list that keeps track of our current path
+        open_value : bool
+            needed if we like to set the open list to something
+            else than True (used for bi-directional algorithms)
+        """
+        # Check for line of sight to the grandparent
+        if parent and parent.parent and parent.parent.grid_id == node.grid_id:
+            grid_to_use = grid.grids[node.grid_id] if hasattr(grid, "grids") else grid
+            if line_of_sight(grid_to_use, node, parent.parent):
+                ng = parent.parent.g + grid.calc_cost(parent.parent, node, self.weighted)
+                if not node.opened or ng < node.g:
+                    old_f = node.f
+                    node.g = ng
+                    node.h = node.h or self.apply_heuristic(node, end)
+                    node.f = node.g + node.h
+                    node.parent = parent.parent
+                    if not node.opened:
+                        open_list.push_node(node)
+                        node.opened = open_value
+                    else:
+                        open_list.remove_node(node, old_f)
+                        open_list.push_node(node)
+            else:
+                super().process_node(grid, node, parent, end, open_list)
+        else:
+            super().process_node(grid, node, parent, end, open_list)
      
+
      
+
+           
      
+          
      
+          
      
+
+  
      
+
+  
      
+    
      © Copyright 2024, Harisankar Babu.
      
+  
      
+
+   
+
+
      
+        
      
+      
      
+    
      
+  
      
+   
+
+
+
\ No newline at end of file
diff --git a/_static/documentation_options.js b/_static/documentation_options.js
index 8730d8e..2c7240f 100644
--- a/_static/documentation_options.js
+++ b/_static/documentation_options.js
@@ -1,6 +1,6 @@
 var DOCUMENTATION_OPTIONS = {
     URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
-    VERSION: '0.6.1',
+    VERSION: '0.6.2',
     LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
     BUILDER: 'html',
diff --git a/genindex.html b/genindex.html
index 8a876a3..074ebf1 100644
--- a/genindex.html
+++ b/genindex.html
@@ -3,7 +3,7 @@
 
   
   
-  Index — pathfinding3d 0.6.1 documentation
+  Index — pathfinding3d 0.6.2 documentation
       
       
       
@@ -17,7 +17,7 @@
   
         
         
-        
+        
         
         
         
@@ -39,7 +39,7 @@
             pathfinding3d
           
               
      
-                0.6.1
+                0.6.2
               
      
 
      
   
      
@@ -76,16 +76,17 @@
  • Change Log
  • pathfinding3d
  • Change Log
  • pathfinding3d
      @@ -156,16 +157,17 @@

      Welcome to pathfinding3d’s documentation!Change Log
    • pathfinding3d
        diff --git a/modules.html b/modules.html index 9e7b1e7..dfcaed1 100644 --- a/modules.html +++ b/modules.html @@ -4,7 +4,7 @@ - pathfinding3d — pathfinding3d 0.6.1 documentation + pathfinding3d — pathfinding3d 0.6.2 documentation @@ -18,7 +18,7 @@ - + @@ -42,7 +42,7 @@ pathfinding3d
        - 0.6.1 + 0.6.2
        @@ -79,16 +79,17 @@
    • Change Log
    • pathfinding3d
        @@ -135,25 +136,10 @@

        pathfinding3dSubpackages diff --git a/objects.inv b/objects.inv index 8ab4eff50205a8ceef2e078403e21594ad6e229d..438aebf614ea9d5c6babb6ae6a91b7595116bff9 100644 GIT binary patch delta 1788 zcmVja+2yi`>`oI{wX>>8kfehWR8PvF~H#@;dCPf%}6fqSk8p@c|LzRU=rozyxsF* zfQ>V%RCJ1fhijN3hYgWZ3U7EZe-a4luH6xEDtVNY&;a#QiYVv0Y-@auz+Jn_V znnJC!S^i^d>d1IIPly>f-yv;*V+FLUR4f4uX|cXi2o~$mXWO`TBRlXZ^W^j;#D5*W zA~p+HnhnAeYz=?BfOx0jPgfR9EYZXYTDA}5VSP>SPPs5c{b~t!&6HlEHim;$OshBr zncKm-##%pzSU(_Le}kBAk*2>xOuu5U|Cz%zShur4mlM9bncCIx69lw`&=g{Q=a_d^PZ4OdGdeje%HzjRDEMhtAUIyYu$>* zx4NV;VD!85bsBOK-m_$inP-YTlp%X4s7Qz{4rQ6y$8NbMs_TM6n3i-Kv?5h5rMC0L zfv)^smYH`>xE4VgWF!32c{=)>fu-LI-0k38!4s`WTUdvNGX>9LI&JM%^8?3$+uaB} zx4IQkqBMU6m^C_#=gHZ%`S(qKvisZ79(#l@q)p8v(4xq;WIV&P2q;cjd`lorWG2X# zd^1j$;g&(%GFFhX62b_VqZFl#nNq&FN(^OX1|ww6OQrpxx6{JHZ=io|Hs5pvcEJgI{^L7K6 z8ODDUtUV$Z%mksMe-PE{bQuaB&NSLFdCT(_-y^7Y{71?8NNn zN~nv6m=)dfE!O{W>ZeV^Ac8jljFubEDv5Bcdv3CEJ)>@aqgd$jZg|eV!7UqMmcC_U z*s`~5%v$o60lPxHGf$rueFtC4J+f)RsJDcE+>%t}gaNQONz!T_%Qm2G< zT)q0;Ic7R(3_-dh!fYM~9dYw;=-``&!^U9%8Z0E|fpF0|kA(}=c`U_f8HcOATowLY zU_`JqV1*w{Q07&BUC_GjZ%W3zd7uYioe?=;Is+a5(^2TypN_)D{Y(-p=BGorW~F~_ z+uBkLTuzzJ!R3?boKW?pQ>LNgik%jgQU>}PyNMWGJVs4mAo5EH8amU2fTD9w2q-rD z1Y^STPzW3@TZACu^2R>mA8*e-US7QabQvj~yh>yo9iK-1&RQ4!#Y+3ya`e`;QCV(} z-hI5jIeY(pctpFa(Z3Uhk!93A&>Mg8&F4>JsoBv8uLfs%e)Q+{+2zGhS?_3+7Z23F z(Wj0!OxTNgsC5}#vCJyFy&d0d9_?hU-9Yh$WwFdzq~*A#{`==&6&ZPD-;S@(|A!-! zul5j&?QvJoSbk`dV8d>5oEp;GU5$7I9pClgF;Bl}G2UhVif`$L?fbaJL7RX6+ZNHj zPhuQ2-1DsqH)8+S20+TTvJQTgzzy!-Qa)7Zu&-ZW_EcT>mgu2Er+t^`eT?Cohfalq zR%Zn_s9%GAsL)|wFHU#c_bZAI6*}yj#l~*`-TKvorTYo(T>e4#!Q4u;e^u<>Kp8J~ z^|=pnu}k2(g5d%`AMVjAB%g4|jqMjId8wn-6CRD5Ia*)g@Q^1@d~He%Zf!0Xg{4_^YI#IBvhHGM%<4WFlDEuuUJA zg^H|Odi&F2;u*m5B__O+X_nCYns}h`Uyva7|BflhQl3he7s?@I+u@s0BPSP@$*uHR z)H0p1smt^`W?^DDG^aA90kB0bjg=8(?bfU?ifOSnF+EQ8R0DscB65+<1zr>|bEPz85$~*H5G~o!$ zejv(NUMPR%D$anmt7d!biPyq?39Dpk9&;nufN#@Lb|@k%x*il!uS@lt%__D~}A=S-Vsq=JE(Y z{pHbsS}Z3nY>drVZDx30ecD6^jNbDzMU!v&-nz9R`Y2f9R@u_sefHQ zQ&g0vbDs-kE}tXHns2Sp_QQn6diXHE?N;IWYT%#G0Ffu@BJAeyv^;u7cj#WGH0QK* z__KdaOIKy4Y3Yj0GA)oC)M25Ae4c#Mg@dz97mm#>J#0iq>0*(2q)SF-4=JDr77Z@^ zaDh9o=!e2Q;=zN>;!y#+#-oC@&n^*!k34*&p*#|EIO~OkA)ZH*hbT1}$gz$T-Z&$r zMS7R<&EVeWL=!FRp~5`tlL5QdCxd^r?M@YhZ+!yNQf})tH3uIV7cwooOA++FbJ`26PY1ln)}jjf oznsxvzm3|!aNe%n@>ShYt+QU|!Kx0ddgiXWe_Ja34_>f{KS>AF%>V!Z diff --git a/pathfinding3d.core.diagonal_movement.html b/pathfinding3d.core.diagonal_movement.html new file mode 100644 index 0000000..443cba8 --- /dev/null +++ b/pathfinding3d.core.diagonal_movement.html @@ -0,0 +1,193 @@ + + + + + + + pathfinding3d.core.diagonal_movement module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
        + + +
        + +
        +
        +
        + +
        +
        +
        +
        + +
        +

        pathfinding3d.core.diagonal_movement module

        +
        +
        +class pathfinding3d.core.diagonal_movement.DiagonalMovement[source]
        +

        Bases: object

        +

        Enum for diagonal movement

        +
        +
        +always = 1
        +
        + +
        +
        +never = 2
        +
        + +
        +
        +if_at_most_one_obstacle = 3
        +
        + +
        +
        +only_when_no_obstacle = 4
        +
        + +
        + +
        + + +
        +
        +
        + +
        + +
        +

        © Copyright 2024, Harisankar Babu.

        +
        + + + +
        +
        +
        +
        +
        + + + + \ No newline at end of file diff --git a/pathfinding3d.core.grid.html b/pathfinding3d.core.grid.html new file mode 100644 index 0000000..6379ec1 --- /dev/null +++ b/pathfinding3d.core.grid.html @@ -0,0 +1,398 @@ + + + + + + + pathfinding3d.core.grid module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
        + + +
        + +
        +
        +
        + +
        +
        +
        +
        + +
        +

        pathfinding3d.core.grid module

        +
        +
        +pathfinding3d.core.grid.build_nodes(width, height, depth, matrix=None, inverse=False, grid_id=None)[source]
        +

        Create nodes according to grid size. If a matrix is given it +will be used to determine what nodes are walkable.

        +
        +
        Parameters:
        +
          +

        • width (int) – The width of the grid.

          • +

        • height (int) – The height of the grid.

          • +

        • depth (int) – The depth of the grid.

          • +

        • matrix (MatrixType) – A 3D array of values (numbers or objects specifying weight) +that determine how nodes are connected and if they are walkable. +If no matrix is given, all nodes will be walkable.

          • +

        • inverse (bool, optional) – If true, all values in the matrix that are not 0 will be considered +walkable. Otherwise all values that are 0 will be considered walkable.

          • +

        • grid_id (int, optional) – The id of the grid.

          • +
        +
        +
        Returns:
        +

        A list of list of lists containing the nodes in the grid.

        +
        +
        Return type:
        +

        List[List[List[GridNode]]]

        +
        +
        +
        + +
        +
        +class pathfinding3d.core.grid.Grid(width=0, height=0, depth=0, matrix=None, grid_id=None, inverse=False)[source]
        +

        Bases: object

        +

        A grid represents the map (as 3d-list of nodes).

        +
        +
        Parameters:
        +
          +

        • width (int) –

          • +

        • height (int) –

          • +

        • depth (int) –

          • +

        • matrix (List[List[List[int]]] | ndarray | None) –

          • +

        • grid_id (int | None) –

          • +

        • inverse (bool) –

          • +
        +
        +
        +
        +
        +__init__(width=0, height=0, depth=0, matrix=None, grid_id=None, inverse=False)[source]
        +

        Create a new grid.

        +
        +
        Parameters:
        +
          +

        • width (int, optional) – The width of the grid.

          • +

        • height (int, optional) – The height of the grid.

          • +

        • depth (int, optional) – The depth of the grid.

          • +

        • matrix (MatrixType) – A 3D array of values (numbers or objects specifying weight) +that determine how nodes are connected and if they are walkable. +If no matrix is given, all nodes will be walkable.

          • +

        • inverse (bool, optional) – If true, all values in the matrix that are not 0 will be considered +walkable. Otherwise all values that are 0 will be considered walkable.

          • +

        • grid_id (int | None) –

          • +
        +
        +
        +
        + +
        +
        +_validate_dimensions(width, height, depth, matrix)[source]
        +
        +
        Return type:
        +

        tuple

        +
        +
        Parameters:
        +
          +

        • width (int) –

          • +

        • height (int) –

          • +

        • depth (int) –

          • +

        • matrix (List[List[List[int]]] | ndarray | None) –

          • +
        +
        +
        +
        + +
        +
        +is_valid_grid()[source]
        +

        Check if grid is valid

        +
        +
        Returns:
        +

        True, if grid is valid

        +
        +
        Return type:
        +

        bool

        +
        +
        +
        + +
        +
        +node(x, y, z)[source]
        +

        Get node at position

        +
        +
        Parameters:
        +
          +

        • x (int) – x position

          • +

        • y (int) – y position

          • +

        • z (int) – z position

          • +
        +
        +
        Returns:
        +

        node at position

        +
        +
        Return type:
        +

        GridNode

        +
        +
        +
        + +
        +
        +inside(x, y, z)[source]
        +

        Check, if field position is inside map

        +
        +
        Parameters:
        +
          +

        • x (int) – x position

          • +

        • y (int) – y position

          • +

        • z (int) – z position

          • +
        +
        +
        Returns:
        +

        True, if position is inside map

        +
        +
        Return type:
        +

        bool

        +
        +
        +
        + +
        +
        +walkable(x, y, z)[source]
        +

        Check, if the tile is inside grid and if it is set as walkable

        +
        +
        Parameters:
        +
          +

        • x (int) – x position

          • +

        • y (int) – y position

          • +

        • z (int) – z position

          • +
        +
        +
        Returns:
        +

        True, if position is inside map and walkable

        +
        +
        Return type:
        +

        bool

        +
        +
        +
        + +
        +
        +_calc_cost(dx, dy, dz)[source]
        +

        Get the distance between current node and the neighbor (cost)

        +
        +
        Parameters:
        +
          +

        • dx (int) – x distance

          • +

        • dy (int) – y distance

          • +

        • dz (int) – z distance

          • +
        +
        +
        Returns:
        +

        distance between current node and the neighbor (cost)

        +
        +
        Return type:
        +

        float

        +
        +
        +
        + +
        +
        +calc_cost(node_a, node_b, weighted=False)[source]
        +

        Get the distance between current node and the neighbor (cost)

        +
        +
        Parameters:
        +
          +

        • node_a (GridNode) – current node

          • +

        • node_b (GridNode) – neighbor node

          • +

        • weighted (bool, optional) – True, if weighted algorithm is used, by default False

          • +
        +
        +
        Returns:
        +

        distance between current node and the neighbor (cost)

        +
        +
        Return type:
        +

        float

        +
        +
        +
        + +
        +
        +neighbors(node, diagonal_movement=DiagonalMovement.never)[source]
        +

        Get all neighbors of one node

        +
        +
        Parameters:
        +
          +

        • node (GridNode) – node to get neighbors from

          • +

        • diagonal_movement (int, optional) – if diagonal movement is allowed +(see enum in diagonal_movement), by default DiagonalMovement.never

          • +
        +
        +
        Returns:
        +

        list of all neighbors

        +
        +
        Return type:
        +

        List[GridNode]

        +
        +
        +
        + +
        +
        +cleanup()[source]
        +

        Cleanup grid

        +
        + +
        + +
        + + +
        +
        +
        + +
        + +
        +

        © Copyright 2024, Harisankar Babu.

        +
        + + + +
        +
        +
        +
        +
        + + + + \ No newline at end of file diff --git a/pathfinding3d.core.heap.html b/pathfinding3d.core.heap.html new file mode 100644 index 0000000..77d00fa --- /dev/null +++ b/pathfinding3d.core.heap.html @@ -0,0 +1,274 @@ + + + + + + + pathfinding3d.core.heap module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
        + + +
        + +
        +
        +
        + +
        +
        +
        +
        + +
        +

        pathfinding3d.core.heap module

        +

        Simple heap with ordering and removal. +Inspired from https://github.com/brean/python-pathfinding/pull/54 +Original author: https://github.com/peterchenadded

        +
        +
        +class pathfinding3d.core.heap.SimpleHeap(node, grid)[source]
        +

        Bases: object

        +

        A simple implementation of a heap data structure optimized for pathfinding. +It maintains an open list of nodes, a status for each node, and a function to retrieve nodes.

        +
        +
        Parameters:
        +
        +
        +
        +
        +
        +__init__(node, grid)[source]
        +

        Initializes the SimpleHeap with a given node and grid.

        +
        +
        Parameters:
        +
          +

        • node (GridNode) – The initial node to be added to the heap. This node should have an ‘f’ attribute representing its cost.

          • +

        • grid (Union[Grid, World]) – The grid in which the nodes are located.

          • +
        +
        +
        +
        + +
        +
        +_determine_node_retrieval_function()[source]
        +

        Determines the node retrieval function based on the type of grid.

        +
        +
        Returns:
        +

        A function that takes a node tuple and returns the corresponding node.

        +
        +
        Return type:
        +

        function

        +
        +
        Raises:
        +

        ValueError – If the grid is not of type Grid or World.

        +
        +
        +
        + +
        +
        +_determine_node_function()[source]
        +

        Determines the node function based on the type of grid.

        +
        +
        Returns:
        +

        A function that takes a node tuple and returns the corresponding node.

        +
        +
        Return type:
        +

        function

        +
        +
        Raises:
        +

        ValueError – If the grid is not of type Grid or World.

        +
        +
        +
        + +
        +
        +pop_node()[source]
        +

        Pops the node with the lowest cost from the heap.

        +
        +
        Returns:
        +

        The node with the lowest cost.

        +
        +
        Return type:
        +

        GridNode

        +
        +
        +
        + +
        +
        +push_node(node)[source]
        +

        Pushes a node to the heap.

        +
        +
        Parameters:
        +

        node (GridNode) – The node to be pushed to the heap.

        +
        +
        +
        + +
        +
        +remove_node(node, old_f)[source]
        +

        Remove the node from the heap.

        +

        This just stores it in a set and we just ignore the node if it does +get popped from the heap.

        +
        +
        Parameters:
        +
          +

        • node (GridNode) – The node to be removed from the heap.

          • +

        • old_f (float) – The old cost of the node.

          • +
        +
        +
        +
        + +
        + +
        + + +
        +
        +
        + +
        + +
        +

        © Copyright 2024, Harisankar Babu.

        +
        + + + +
        +
        +
        +
        +
        + + + + \ No newline at end of file diff --git a/pathfinding3d.core.heuristic.html b/pathfinding3d.core.heuristic.html new file mode 100644 index 0000000..2c9388d --- /dev/null +++ b/pathfinding3d.core.heuristic.html @@ -0,0 +1,274 @@ + + + + + + + pathfinding3d.core.heuristic module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
        + + +
        + +
        +
        +
        + +
        +
        +
        +
        + +
        +

        pathfinding3d.core.heuristic module

        +
        +
        +pathfinding3d.core.heuristic.null(dx, dy, dz)[source]
        +

        Special heuristic for Dijkstra +return 0, so node.h will always be calculated as 0, +distance cost (node.f) is calculated only from +start to current point (node.g)

        +
        +
        Parameters:
        +
          +

        • dx (Union[int, float]) – x distance

          • +

        • dy (Union[int, float]) – y distance

          • +

        • dz (Union[int, float]) – z distance

          • +
        +
        +
        Returns:
        +

        0.0

        +
        +
        Return type:
        +

        float

        +
        +
        +
        + +
        +
        +pathfinding3d.core.heuristic.manhattan(dx, dy, dz)[source]
        +

        Manhattan heuristics

        +
        +
        Parameters:
        +
          +

        • dx (Union[int, float]) – x distance

          • +

        • dy (Union[int, float]) – y distance

          • +

        • dz (Union[int, float]) – z distance

          • +
        +
        +
        Returns:
        +

        manhattan distance

        +
        +
        Return type:
        +

        float

        +
        +
        +
        + +
        +
        +pathfinding3d.core.heuristic.euclidean(dx, dy, dz)[source]
        +

        Euclidean distance heuristics

        +
        +
        Parameters:
        +
          +

        • dx (Union[int, float]) – x distance

          • +

        • dy (Union[int, float]) – y distance

          • +

        • dz (Union[int, float]) – z distance

          • +
        +
        +
        Returns:
        +

        euclidean distance

        +
        +
        Return type:
        +

        float

        +
        +
        +
        + +
        +
        +pathfinding3d.core.heuristic.chebyshev(dx, dy, dz)[source]
        +

        Chebyshev distance.

        +
        +
        Parameters:
        +
          +

        • dx (Union[int, float]) – x distance

          • +

        • dy (Union[int, float]) – y distance

          • +

        • dz (Union[int, float]) – z distance

          • +
        +
        +
        Returns:
        +

        chebyshev distance

        +
        +
        Return type:
        +

        float

        +
        +
        +
        + +
        +
        +pathfinding3d.core.heuristic.octile(dx, dy, dz)[source]
        +

        Octile distance.

        +
        +
        Parameters:
        +
          +

        • dx (Union[int, float]) – x distance

          • +

        • dy (Union[int, float]) – y distance

          • +

        • dz (Union[int, float]) – z distance

          • +
        +
        +
        Returns:
        +

        octile distance

        +
        +
        Return type:
        +

        float

        +
        +
        +
        + +
        + + +
        +
        +
        + +
        + +
        +

        © Copyright 2024, Harisankar Babu.

        +
        + + + +
        +
        +
        +
        +
        + + + + \ No newline at end of file diff --git a/pathfinding3d.core.html b/pathfinding3d.core.html index e8b6a9b..6e8bdf6 100644 --- a/pathfinding3d.core.html +++ b/pathfinding3d.core.html @@ -4,7 +4,7 @@ - pathfinding3d.core package — pathfinding3d 0.6.1 documentation + pathfinding3d.core package — pathfinding3d 0.6.2 documentation @@ -18,7 +18,7 @@ - + @@ -26,7 +26,7 @@ - + @@ -42,7 +42,7 @@ pathfinding3d
        - 0.6.1 + 0.6.2
        @@ -79,16 +79,17 @@

    • Change Log
    • pathfinding3d
        @@ -133,1071 +134,129 @@

        pathfinding3d.core package

        Submodules

        -
        -
        -

        pathfinding3d.core.diagonal_movement module

        -
        -
        -class pathfinding3d.core.diagonal_movement.DiagonalMovement[source]
        -

        Bases: object

        -

        Enum for diagonal movement

        -
        -
        -always = 1
        -
        - -
        -
        -never = 2
        -
        - -
        -
        -if_at_most_one_obstacle = 3
        -
        - -
        -
        -only_when_no_obstacle = 4
        -
        - -
        - -
        -
        -

        pathfinding3d.core.grid module

        -
        -
        -pathfinding3d.core.grid.build_nodes(width, height, depth, matrix=None, inverse=False, grid_id=None)[source]
        -

        Create nodes according to grid size. If a matrix is given it -will be used to determine what nodes are walkable.

        -
        -
        Parameters:
        -
          -

        • width (int) – The width of the grid.

          • -

        • height (int) – The height of the grid.

          • -

        • depth (int) – The depth of the grid.

          • -

        • matrix (MatrixType) – A 3D array of values (numbers or objects specifying weight) -that determine how nodes are connected and if they are walkable. -If no matrix is given, all nodes will be walkable.

          • -

        • inverse (bool, optional) – If true, all values in the matrix that are not 0 will be considered -walkable. Otherwise all values that are 0 will be considered walkable.

          • -

        • grid_id (int, optional) – The id of the grid.

          • -
        -
        -
        Returns:
        -

        A list of list of lists containing the nodes in the grid.

        -
        -
        Return type:
        -

        List[List[List[GridNode]]]

        -
        -
        -
        - -
        -
        -class pathfinding3d.core.grid.Grid(width=0, height=0, depth=0, matrix=None, grid_id=None, inverse=False)[source]
        -

        Bases: object

        -

        A grid represents the map (as 3d-list of nodes).

        -
        -
        Parameters:
        -
          -

        • width (int) –

          • -

        • height (int) –

          • -

        • depth (int) –

          • -

        • matrix (List[List[List[int]]] | ndarray | None) –

          • -

        • grid_id (int | None) –

          • -

        • inverse (bool) –

          • -
        -
        -
        -
        -
        -__init__(width=0, height=0, depth=0, matrix=None, grid_id=None, inverse=False)[source]
        -

        Create a new grid.

        -
        -
        Parameters:
        -
          -

        • width (int, optional) – The width of the grid.

          • -

        • height (int, optional) – The height of the grid.

          • -

        • depth (int, optional) – The depth of the grid.

          • -

        • matrix (MatrixType) – A 3D array of values (numbers or objects specifying weight) -that determine how nodes are connected and if they are walkable. -If no matrix is given, all nodes will be walkable.

          • -

        • inverse (bool, optional) – If true, all values in the matrix that are not 0 will be considered -walkable. Otherwise all values that are 0 will be considered walkable.

          • -

        • grid_id (int | None) –

          • -
        -
        -
        -
        - -
        -
        -_validate_dimensions(width, height, depth, matrix)[source]
        -
        -
        Return type:
        -

        tuple

        -
        -
        Parameters:
        -
          -

        • width (int) –

          • -

        • height (int) –

          • -

        • depth (int) –

          • -

        • matrix (List[List[List[int]]] | ndarray | None) –

          • -
        -
        -
        -
        - -
        -
        -is_valid_grid()[source]
        -

        Check if grid is valid

        -
        -
        Returns:
        -

        True, if grid is valid

        -
        -
        Return type:
        -

        bool

        -
        -
        -
        - -
        -
        -node(x, y, z)[source]
        -

        Get node at position

        -
        -
        Parameters:
        -
          -

        • x (int) – x position

          • -

        • y (int) – y position

          • -

        • z (int) – z position

          • -
        -
        -
        Returns:
        -

        node at position

        -
        -
        Return type:
        -

        GridNode

        -
        -
        -
        - -
        -
        -inside(x, y, z)[source]
        -

        Check, if field position is inside map

        -
        -
        Parameters:
        -
          -

        • x (int) – x position

          • -

        • y (int) – y position

          • -

        • z (int) – z position

          • -
        -
        -
        Returns:
        -

        True, if position is inside map

        -
        -
        Return type:
        -

        bool

        -
        -
        -
        - -
        -
        -walkable(x, y, z)[source]
        -

        Check, if the tile is inside grid and if it is set as walkable

        -
        -
        Parameters:
        -
          -

        • x (int) – x position

          • -

        • y (int) – y position

          • -

        • z (int) – z position

          • -
        -
        -
        Returns:
        -

        True, if position is inside map and walkable

        -
        -
        Return type:
        -

        bool

        -
        -
        -
        - -
        -
        -_calc_cost(dx, dy, dz)[source]
        -

        Get the distance between current node and the neighbor (cost)

        -
        -
        Parameters:
        -
          -

        • dx (int) – x distance

          • -

        • dy (int) – y distance

          • -

        • dz (int) – z distance

          • -
        -
        -
        Returns:
        -

        distance between current node and the neighbor (cost)

        -
        -
        Return type:
        -

        float

        -
        -
        -
        - -
        -
        -calc_cost(node_a, node_b, weighted=False)[source]
        -

        Get the distance between current node and the neighbor (cost)

        -
        -
        Parameters:
        -
          -

        • node_a (GridNode) – current node

          • -

        • node_b (GridNode) – neighbor node

          • -

        • weighted (bool, optional) – True, if weighted algorithm is used, by default False

          • -
        -
        -
        Returns:
        -

        distance between current node and the neighbor (cost)

        -
        -
        Return type:
        -

        float

        -
        -
        -
        - -
        -
        -neighbors(node, diagonal_movement=DiagonalMovement.never)[source]
        -

        Get all neighbors of one node

        -
        -
        Parameters:
        -
          -

        • node (GridNode) – node to get neighbors from

          • -

        • diagonal_movement (int, optional) – if diagonal movement is allowed -(see enum in diagonal_movement), by default DiagonalMovement.never

          • -
        -
        -
        Returns:
        -

        list of all neighbors

        -
        -
        Return type:
        -

        List[GridNode]

        -
        -
        -
        - -
        -
        -cleanup()[source]
        -

        Cleanup grid

        -
        - -
        - -
        -
        -

        pathfinding3d.core.heap module

        -

        Simple heap with ordering and removal. -Inspired from https://github.com/brean/python-pathfinding/pull/54 -Original author: https://github.com/peterchenadded

        -
        -
        -class pathfinding3d.core.heap.SimpleHeap(node, grid)[source]
        -

        Bases: object

        -

        A simple implementation of a heap data structure optimized for pathfinding. -It maintains an open list of nodes, a status for each node, and a function to retrieve nodes.

        -
        -
        Parameters:
        -
        -
        -
        -
        -__init__(node, grid)[source]
        -

        Initializes the SimpleHeap with a given node and grid.

        -
        -
        Parameters:
        -
          -

        • node (GridNode) – The initial node to be added to the heap. This node should have an ‘f’ attribute representing its cost.

          • -

        • grid (Union[Grid, World]) – The grid in which the nodes are located.

          • -
        -
        -
        -
        - -
        -
        -_determine_node_retrieval_function()[source]
        -

        Determines the node retrieval function based on the type of grid.

        -
        -
        Returns:
        -

        A function that takes a node tuple and returns the corresponding node.

        -
        -
        Return type:
        -

        function

        -
        -
        Raises:
        -

        ValueError – If the grid is not of type Grid or World.

        -
        -
        -
        - -
        -
        -_determine_node_function()[source]
        -

        Determines the node function based on the type of grid.

        -
        -
        Returns:
        -

        A function that takes a node tuple and returns the corresponding node.

        -
        -
        Return type:
        -

        function

        -
        -
        Raises:
        -

        ValueError – If the grid is not of type Grid or World.

        -
        -
        -
        - -
        -
        -pop_node()[source]
        -

        Pops the node with the lowest cost from the heap.

        -
        -
        Returns:
        -

        The node with the lowest cost.

        -
        -
        Return type:
        -

        GridNode

        -
        -
        -
        - -
        -
        -push_node(node)[source]
        -

        Pushes a node to the heap.

        -
        -
        Parameters:
        -

        node (GridNode) – The node to be pushed to the heap.

        -
        -
        -
        - -
        -
        -remove_node(node, old_f)[source]
        -

        Remove the node from the heap.

        -

        This just stores it in a set and we just ignore the node if it does -get popped from the heap.

        -
        -
        Parameters:
        -
          -

        • node (GridNode) – The node to be removed from the heap.

          • -

        • old_f (float) – The old cost of the node.

          • -
        -
        -
        -
        - -
        - -
        -
        -

        pathfinding3d.core.heuristic module

        -
        -
        -pathfinding3d.core.heuristic.null(dx, dy, dz)[source]
        -

        Special heuristic for Dijkstra -return 0, so node.h will always be calculated as 0, -distance cost (node.f) is calculated only from -start to current point (node.g)

        -
        -
        Parameters:
        -
          -

        • dx (Union[int, float]) – x distance

          • -

        • dy (Union[int, float]) – y distance

          • -

        • dz (Union[int, float]) – z distance

          • -
        -
        -
        Returns:
        -

        0.0

        -
        -
        Return type:
        -

        float

        -
        -
        -
        - -
        -
        -pathfinding3d.core.heuristic.manhattan(dx, dy, dz)[source]
        -

        Manhattan heuristics

        -
        -
        Parameters:
        -
          -

        • dx (Union[int, float]) – x distance

          • -

        • dy (Union[int, float]) – y distance

          • -

        • dz (Union[int, float]) – z distance

          • +
        -
        -
        Returns:
        -

        manhattan distance

        -
        -
        Return type:
        -

        float

        -
        -
        -
        - -
        -
        -pathfinding3d.core.heuristic.euclidean(dx, dy, dz)[source]
        -

        Euclidean distance heuristics

        -
        -
        Parameters:
        -
        -
        Returns:
        -

        euclidean distance

        -
        -
        Return type:
        -

        float

        -
        -
        -
        - -
        -
        -pathfinding3d.core.heuristic.chebyshev(dx, dy, dz)[source]
        -

        Chebyshev distance.

        -
        -
        Parameters:
        -
          -

        • dx (Union[int, float]) – x distance

          • -

        • dy (Union[int, float]) – y distance

          • -

        • dz (Union[int, float]) – z distance

          • +
        -
        -
        Returns:
        -

        chebyshev distance

        -
        -
        Return type:
        -

        float

        -
        -
        -
        - -
        -
        -pathfinding3d.core.heuristic.octile(dx, dy, dz)[source]
        -

        Octile distance.

        -
        -
        Parameters:
        -
        -
        Returns:
        -

        octile distance

        -
        -
        Return type:
        -

        float

        -
        -
        -
        - -
        -
        -

        pathfinding3d.core.node module

        -
        -
        -class pathfinding3d.core.node.Node[source]
        -

        Bases: object

        -

        Basic node class, saves calculated values for pathfinding

        -
        -
        -h
        -

        The cost from this node to the goal (for A* including the heuristic).

        -
        -
        Type:
        -

        float

        -
        -
        -
        - -
        -
        -g
        -

        The cost from the start node to this node.

        -
        -
        Type:
        -

        float

        -
        -
        -
        - -
        -
        -f
        -

        The overall cost for a path using this node (f = g + h).

        -
        -
        Type:
        -

        float

        -
        -
        -
        - -
        -
        -opened
        -

        The number of times this node has been opened.

        -
        -
        Type:
        -

        int

        -
        -
        -
        - -
        -
        -closed
        -

        Whether this node is closed.

        -
        -
        Type:
        -

        bool

        -
        -
        -
        - -
        -
        -parent
        -

        The parent node of this node.

        -
        -
        Type:
        -

        Optional[Node]

        -
        -
        -
        - -
        -
        -retain_count
        -

        Used for recursion tracking of IDA*.

        -
        -
        Type:
        -

        int

        -
        -
        -
        - -
        -
        -tested
        -

        Used for IDA* and Jump-Point-Search.

        -
        -
        Type:
        -

        bool

        -
        -
        -
        - -
        -
        -__init__()[source]
        -
        - -
        -
        -cleanup()[source]
        -

        Reset all calculated values, fresh start for pathfinding

        -
        - -
        -
        -h
        -
        - -
        -
        -g
        -
        - -
        -
        -f
        -
        - -
        -
        -opened
        -
        - -
        -
        -closed
        -
        - -
        -
        -parent
        -
        - -
        -
        -retain_count
        -
        - -
        -
        -tested
        -
        - -
        - -
        -
        -class pathfinding3d.core.node.GridNode(x=0, y=0, z=0, walkable=True, weight=1.0, grid_id=None, connections=None)[source]
        -

        Bases: Node

        -

        Basic node in a grid.

        -
        -
        Parameters:
        -
          -

        • x (int) –

          • -

        • y (int) –

          • -

        • z (int) –

          • -

        • walkable (bool) –

          • -

        • weight (float) –

          • -

        • grid_id (int | None) –

          • -

        • connections (List | None) –

          • +
        -
        -
        -
        -
        -x
        -

        The x coordinate of the node.

        -
        -
        Type:
        -

        int

        -
        -
        -
        - -
        -
        -y
        -

        The y coordinate of the node.

        -
        -
        Type:
        -

        int

        -
        -
        -
        - -
        -
        -z
        -

        The z coordinate of the node.

        -
        -
        Type:
        -

        int

        -
        -
        -
        - -
        -
        -walkable
        -

        Whether this node can be walked through.

        -
        -
        Type:
        -

        bool

        -
        -
        -
        - -
        -
        -weight
        -

        The weight of the node.

        -
        -
        Type:
        -

        float

        -
        -
        -
        - -
        -
        -grid_id
        -

        The id of the grid this node belongs to.

        -
        -
        Type:
        -

        Optional[int]

        -
        -
        -
        - -
        -
        -connections
        -

        The connections of this node.

        -
        -
        Type:
        -

        Optional[List]

        -
        -
        -
        - -
        -
        -x: int = 0
        -
        - -
        -
        -y: int = 0
        -
        - -
        -
        -z: int = 0
        -
        - -
        -
        -walkable: bool = True
        -
        - -
        -
        -weight: float = 1.0
        -
        - -
        -
        -grid_id: Optional[int] = None
        -
        - -
        -
        -connections: Optional[List] = None
        -
        - -
        -
        -connect(other_node)[source]
        -

        Connect this node to another node.

        -
        -
        Parameters:
        -

        other_node (GridNode) – The node to connect to.

        -
        -
        -
        - -
        -
        -h
        -
        - -
        -
        -g
        -
        - -
        -
        -f
        -
        - -
        -
        -opened
        -
        - -
        -
        -closed
        -
        - -
        -
        -parent
        -
        - -
        -
        -retain_count
        -
        - -
        -
        -tested
        -
        - -
        -
        -__init__(x=0, y=0, z=0, walkable=True, weight=1.0, grid_id=None, connections=None)
        -
        -
        Parameters:
        -
        -
        Return type:
        -

        None

        -
        -
        -
        - -
        -
        -cleanup()
        -

        Reset all calculated values, fresh start for pathfinding

        -
        - -
        - -
        -
        -

        pathfinding3d.core.util module

        -
        -
        -pathfinding3d.core.util.backtrace(node)[source]
        -

        Backtrace according to the parent records and return the path. -(including both start and end nodes)

        -
        -
        Parameters:
        -

        node (GridNode) – node to backtrace from

        -
        -
        Returns:
        -

        path

        -
        -
        Return type:
        -

        List[GridNode]

        -
        -
        -
        - -
        -
        -pathfinding3d.core.util.bi_backtrace(node_a, node_b)[source]
        -

        Backtrace from start and end node, returns the path for bi-directional A* -(including both start and end nodes)

        -
        -
        Parameters:
        -
        -
        Returns:
        -

        path

        -
        -
        Return type:
        -

        List[GridNode]

        -
        -
        -
        - -
        -
        -pathfinding3d.core.util.raytrace(coords_a, coords_b)[source]
        -

        Given the start and end coordinates, return all the coordinates lying -on the line formed by these coordinates, based on ray tracing.

        -
        -
        Parameters:
        -
        -
        Returns:
        -

        list of coordinates

        -
        -
        Return type:
        -

        List[List[float]]

        -
        -
        -
        - -
        -
        -pathfinding3d.core.util.bresenham(coords_a, coords_b)[source]
        -

        Given the start and end coordinates, return all the coordinates lying -on the line formed by these coordinates, based on Bresenham’s algorithm.

        -
        -
        Parameters:
        -
          -

        • coords_a (Coords) – start coordinates

          • -

        • coords_b (Coords) – end coordinates

          • +
        -
        -
        Returns:
        -

        list of coordinates

        -
        -
        Return type:
        -

        List[List[float]]

        -
        -
        -
        - -
        -
        -pathfinding3d.core.util.expand_path(path)[source]
        -

        Given a compressed path, return a new path that has all the segments -in it interpolated.

        -
        -
        Parameters:
        -

        path (List[Coords]) – path to expand

        -
        -
        Returns:
        -

        expanded path

        -
        -
        Return type:
        -

        List[Coords]

        -
        -
        -
        - -
        -
        -pathfinding3d.core.util.smoothen_path(grid, path, use_raytrace=False)[source]
        -

        Given an uncompressed path, return a new path that has less -turnings and looks more natural.

        -
        -
        Parameters:
        -
        -
        Returns:
        -

        smoothened path

        -
        -
        Return type:
        -

        List[List[float]]

        -
        -
        -
        - -
        -
        -pathfinding3d.core.util.line_of_sight(grid, node1, node2)[source]
        -

        Check if there is a line of sight between two nodes using Bresenham’s algorithm

        -
        -
        Parameters:
        -
        -
        Returns:
        -

        True if there is a line of sight between the two nodes, False otherwise

        -
        -
        Return type:
        -

        bool

        -
        -
        -
        - -
        -
        -

        pathfinding3d.core.world module

        -
        -
        -class pathfinding3d.core.world.World(grids)[source]
        -

        Bases: object

        -

        A world connects grids but can have multiple grids.

        -
        -
        Parameters:
        -

        grids (Dict[int, Grid]) –

        -
        -
        -
        -
        -__init__(grids)[source]
        -

        Initialize a new world.

        -
        -
        Parameters:
        -

        grids (Dict[int, Grid]) – grids in this world

        -
        -
        -
        - -
        -
        -neighbors(node, diagonal_movement)[source]
        -

        Get neighbors of the given node.

        -
        -
        Parameters:
        -
          -

        • node (GridNode) – node to get neighbors from

          • -

        • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

          • +
        -
        -
        Returns:
        -

        neighbors of the given node

        -
        -
        Return type:
        -

        List[GridNode]

        -
        -
        -
        - -
        -
        -calc_cost(node_a, node_b, weighted=False)[source]
        -

        Calculate the cost between two nodes.

        -
        -
        Parameters:
        -
          -

        • node_a (GridNode) – first node

          • -

        • node_b (GridNode) – second node

          • -

        • weighted (bool) – wether to use weights or not

          • +
        -
        -
        Returns:
        -

        cost between the two nodes

        -
        -
        Return type:
        -

        float

        -
        -
        -
        - -
        -
        -cleanup()[source]
        -

        Cleanup all grids in this world.

        -
        - -
        - +

    • @@ -1206,7 +265,7 @@

    Submodules - +
    diff --git a/pathfinding3d.core.node.html b/pathfinding3d.core.node.html new file mode 100644 index 0000000..dd0d502 --- /dev/null +++ b/pathfinding3d.core.node.html @@ -0,0 +1,522 @@ + + + + + + + pathfinding3d.core.node module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.core.node module

    +
    +
    +class pathfinding3d.core.node.Node[source]
    +

    Bases: object

    +

    Basic node class, saves calculated values for pathfinding

    +
    +
    +h
    +

    The cost from this node to the goal (for A* including the heuristic).

    +
    +
    Type:
    +

    float

    +
    +
    +
    + +
    +
    +g
    +

    The cost from the start node to this node.

    +
    +
    Type:
    +

    float

    +
    +
    +
    + +
    +
    +f
    +

    The overall cost for a path using this node (f = g + h).

    +
    +
    Type:
    +

    float

    +
    +
    +
    + +
    +
    +opened
    +

    The number of times this node has been opened.

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +closed
    +

    Whether this node is closed.

    +
    +
    Type:
    +

    bool

    +
    +
    +
    + +
    +
    +parent
    +

    The parent node of this node.

    +
    +
    Type:
    +

    Optional[Node]

    +
    +
    +
    + +
    +
    +retain_count
    +

    Used for recursion tracking of IDA*.

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +tested
    +

    Used for IDA* and Jump-Point-Search.

    +
    +
    Type:
    +

    bool

    +
    +
    +
    + +
    +
    +__init__()[source]
    +
    + +
    +
    +cleanup()[source]
    +

    Reset all calculated values, fresh start for pathfinding

    +
    + +
    +
    +h
    +
    + +
    +
    +g
    +
    + +
    +
    +f
    +
    + +
    +
    +opened
    +
    + +
    +
    +closed
    +
    + +
    +
    +parent
    +
    + +
    +
    +retain_count
    +
    + +
    +
    +tested
    +
    + +
    + +
    +
    +class pathfinding3d.core.node.GridNode(x=0, y=0, z=0, walkable=True, weight=1.0, grid_id=None, connections=None)[source]
    +

    Bases: Node

    +

    Basic node in a grid.

    +
    +
    Parameters:
    +
      +

    • x (int) –

      • +

    • y (int) –

      • +

    • z (int) –

      • +

    • walkable (bool) –

      • +

    • weight (float) –

      • +

    • grid_id (int | None) –

      • +

    • connections (List | None) –

      • +
    +
    +
    +
    +
    +x
    +

    The x coordinate of the node.

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +y
    +

    The y coordinate of the node.

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +z
    +

    The z coordinate of the node.

    +
    +
    Type:
    +

    int

    +
    +
    +
    + +
    +
    +walkable
    +

    Whether this node can be walked through.

    +
    +
    Type:
    +

    bool

    +
    +
    +
    + +
    +
    +weight
    +

    The weight of the node.

    +
    +
    Type:
    +

    float

    +
    +
    +
    + +
    +
    +grid_id
    +

    The id of the grid this node belongs to.

    +
    +
    Type:
    +

    Optional[int]

    +
    +
    +
    + +
    +
    +connections
    +

    The connections of this node.

    +
    +
    Type:
    +

    Optional[List]

    +
    +
    +
    + +
    +
    +x: int = 0
    +
    + +
    +
    +y: int = 0
    +
    + +
    +
    +z: int = 0
    +
    + +
    +
    +walkable: bool = True
    +
    + +
    +
    +weight: float = 1.0
    +
    + +
    +
    +grid_id: Optional[int] = None
    +
    + +
    +
    +connections: Optional[List] = None
    +
    + +
    +
    +connect(other_node)[source]
    +

    Connect this node to another node.

    +
    +
    Parameters:
    +

    other_node (GridNode) – The node to connect to.

    +
    +
    +
    + +
    +
    +h
    +
    + +
    +
    +g
    +
    + +
    +
    +f
    +
    + +
    +
    +opened
    +
    + +
    +
    +closed
    +
    + +
    +
    +parent
    +
    + +
    +
    +retain_count
    +
    + +
    +
    +tested
    +
    + +
    +
    +__init__(x=0, y=0, z=0, walkable=True, weight=1.0, grid_id=None, connections=None)
    +
    +
    Parameters:
    +
      +

    • x (int) –

      • +

    • y (int) –

      • +

    • z (int) –

      • +

    • walkable (bool) –

      • +

    • weight (float) –

      • +

    • grid_id (int | None) –

      • +

    • connections (List | None) –

      • +
    +
    +
    Return type:
    +

    None

    +
    +
    +
    + +
    +
    +cleanup()
    +

    Reset all calculated values, fresh start for pathfinding

    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.core.util.html b/pathfinding3d.core.util.html new file mode 100644 index 0000000..b75018a --- /dev/null +++ b/pathfinding3d.core.util.html @@ -0,0 +1,308 @@ + + + + + + + pathfinding3d.core.util module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.core.util module

    +
    +
    +pathfinding3d.core.util.backtrace(node)[source]
    +

    Backtrace according to the parent records and return the path. +(including both start and end nodes)

    +
    +
    Parameters:
    +

    node (GridNode) – node to backtrace from

    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +pathfinding3d.core.util.bi_backtrace(node_a, node_b)[source]
    +

    Backtrace from start and end node, returns the path for bi-directional A* +(including both start and end nodes)

    +
    +
    Parameters:
    +
    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +pathfinding3d.core.util.raytrace(coords_a, coords_b)[source]
    +

    Given the start and end coordinates, return all the coordinates lying +on the line formed by these coordinates, based on ray tracing.

    +
    +
    Parameters:
    +
      +

    • coords_a (Coords) – start coordinates

      • +

    • coords_b (Coords) – end coordinates

      • +
    +
    +
    Returns:
    +

    list of coordinates

    +
    +
    Return type:
    +

    List[List[float]]

    +
    +
    +
    + +
    +
    +pathfinding3d.core.util.bresenham(coords_a, coords_b)[source]
    +

    Given the start and end coordinates, return all the coordinates lying +on the line formed by these coordinates, based on Bresenham’s algorithm.

    +
    +
    Parameters:
    +
      +

    • coords_a (Coords) – start coordinates

      • +

    • coords_b (Coords) – end coordinates

      • +
    +
    +
    Returns:
    +

    list of coordinates

    +
    +
    Return type:
    +

    List[List[float]]

    +
    +
    +
    + +
    +
    +pathfinding3d.core.util.expand_path(path)[source]
    +

    Given a compressed path, return a new path that has all the segments +in it interpolated.

    +
    +
    Parameters:
    +

    path (List[Coords]) – path to expand

    +
    +
    Returns:
    +

    expanded path

    +
    +
    Return type:
    +

    List[Coords]

    +
    +
    +
    + +
    +
    +pathfinding3d.core.util.smoothen_path(grid, path, use_raytrace=False)[source]
    +

    Given an uncompressed path, return a new path that has less +turnings and looks more natural.

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid

      • +

    • path (List[Coords]) – path to smoothen

      • +

    • use_raytrace (bool, optional) – whether to use raytrace, by default False

      • +
    +
    +
    Returns:
    +

    smoothened path

    +
    +
    Return type:
    +

    List[List[float]]

    +
    +
    +
    + +
    +
    +pathfinding3d.core.util.line_of_sight(grid, node1, node2)[source]
    +

    Check if there is a line of sight between two nodes using Bresenham’s algorithm

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – The grid on which the nodes exist

      • +

    • node1 (GridNode) – The first node

      • +

    • node2 (GridNode) – The second node

      • +
    +
    +
    Returns:
    +

    True if there is a line of sight between the two nodes, False otherwise

    +
    +
    Return type:
    +

    bool

    +
    +
    +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.core.world.html b/pathfinding3d.core.world.html new file mode 100644 index 0000000..1f0cb4c --- /dev/null +++ b/pathfinding3d.core.world.html @@ -0,0 +1,237 @@ + + + + + + + pathfinding3d.core.world module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.core.world module

    +
    +
    +class pathfinding3d.core.world.World(grids)[source]
    +

    Bases: object

    +

    A world connects grids but can have multiple grids.

    +
    +
    Parameters:
    +

    grids (Dict[int, Grid]) –

    +
    +
    +
    +
    +__init__(grids)[source]
    +

    Initialize a new world.

    +
    +
    Parameters:
    +

    grids (Dict[int, Grid]) – grids in this world

    +
    +
    +
    + +
    +
    +neighbors(node, diagonal_movement)[source]
    +

    Get neighbors of the given node.

    +
    +
    Parameters:
    +
      +

    • node (GridNode) – node to get neighbors from

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +
    +
    +
    Returns:
    +

    neighbors of the given node

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +calc_cost(node_a, node_b, weighted=False)[source]
    +

    Calculate the cost between two nodes.

    +
    +
    Parameters:
    +
      +

    • node_a (GridNode) – first node

      • +

    • node_b (GridNode) – second node

      • +

    • weighted (bool) – wether to use weights or not

      • +
    +
    +
    Returns:
    +

    cost between the two nodes

    +
    +
    Return type:
    +

    float

    +
    +
    +
    + +
    +
    +cleanup()[source]
    +

    Cleanup all grids in this world.

    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.finder.a_star.html b/pathfinding3d.finder.a_star.html new file mode 100644 index 0000000..351f443 --- /dev/null +++ b/pathfinding3d.finder.a_star.html @@ -0,0 +1,327 @@ + + + + + + + pathfinding3d.finder.a_star module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.finder.a_star module

    +
    +
    +class pathfinding3d.finder.a_star.AStarFinder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Bases: Finder

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable | None) –

      • +

    • weight (int) –

      • +

    • diagonal_movement (int) –

      • +

    • time_limit (float) –

      • +

    • max_runs (int | float) –

      • +
    +
    +
    +
    +
    +__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Find shortest path using A* algorithm

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +

    • weight (int) – weight for the edges

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +

    • time_limit (float) – max. runtime in seconds

      • +

    • max_runs (int) – max. amount of tries until we abort the search +(optional, only if we enter huge grids and have time constrains) +<=0 means there are no constrains and the code might run on any +large map.

      • +
    +
    +
    +
    + +
    +
    +check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)[source]
    +

    Find next path segment based on given node +(or return path if we found the end)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • open_list (List) – stores nodes that will be processed next

      • +

    • open_value (int) –

      • +
    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    Optional[List[GridNode]]

    +
    +
    +
    + +
    +
    +apply_heuristic(node_a, node_b, heuristic=None)
    +

    Helper function to apply heuristic

    +
    +
    Parameters:
    +
      +

    • node_a (GridNode) – first node

      • +

    • node_b (GridNode) – second node

      • +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +
    +
    +
    Returns:
    +

    heuristic value

    +
    +
    Return type:
    +

    float

    +
    +
    +
    + +
    +
    +find_neighbors(grid, node, diagonal_movement=None)
    +

    Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – node to find neighbors for

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +
    +
    +
    Returns:
    +

    list of neighbors

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +find_path(start, end, grid)[source]
    +

    Find a path from start to end node on grid using the A* algorithm

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +
    +
    +
    Returns:
    +

    path, number of iterations

    +
    +
    Return type:
    +

    Tuple[List, int]

    +
    +
    +
    + +
    +
    +keep_running()
    +

    Check, if we run into time or iteration constrains.

    +
    +
    Raises:
    +
    +
    +
    +
    + +
    +
    +process_node(grid, node, parent, end, open_list, open_value=1)
    +

    We check if the given node is part of the path by calculating its +cost and add or remove it from our path

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – the node we like to test +(the neighbor in A* or jump-node in JumpPointSearch)

      • +

    • parent (GridNode) – the parent node (of the current node we like to test)

      • +

    • end (GridNode) – the end point to calculate the cost of the path

      • +

    • open_list (List) – the list that keeps track of our current path

      • +

    • open_value (bool) – needed if we like to set the open list to something +else than True (used for bi-directional algorithms)

      • +
    +
    +
    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.finder.best_first.html b/pathfinding3d.finder.best_first.html new file mode 100644 index 0000000..e2408a6 --- /dev/null +++ b/pathfinding3d.finder.best_first.html @@ -0,0 +1,328 @@ + + + + + + + pathfinding3d.finder.best_first module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.finder.best_first module

    +
    +
    +class pathfinding3d.finder.best_first.BestFirst(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Bases: AStarFinder

    +

    Similar to the default A* algorithm from a_star.

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable | None) –

      • +

    • weight (int) –

      • +

    • diagonal_movement (int) –

      • +

    • time_limit (float) –

      • +

    • max_runs (int | float) –

      • +
    +
    +
    +
    +
    +__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Find shortest path using BestFirst algorithm

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +

    • weight (int) – weight for the edges

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +

    • time_limit (float) – max. runtime in seconds

      • +

    • max_runs (int) – max. amount of tries until we abort the search +(optional, only if we enter huge grids and have time constrains) +<=0 means there are no constrains and the code might run on any +large map.

      • +
    +
    +
    +
    + +
    +
    +apply_heuristic(node_a, node_b, heuristic=None)[source]
    +

    Helper function to apply heuristic

    +
    +
    Parameters:
    +
      +

    • node_a (GridNode) – first node

      • +

    • node_b (GridNode) – second node

      • +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +
    +
    +
    Returns:
    +

    heuristic value

    +
    +
    Return type:
    +

    float

    +
    +
    +
    + +
    +
    +check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
    +

    Find next path segment based on given node +(or return path if we found the end)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • open_list (List) – stores nodes that will be processed next

      • +

    • open_value (int) –

      • +
    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    Optional[List[GridNode]]

    +
    +
    +
    + +
    +
    +find_neighbors(grid, node, diagonal_movement=None)
    +

    Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – node to find neighbors for

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +
    +
    +
    Returns:
    +

    list of neighbors

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +find_path(start, end, grid)
    +

    Find a path from start to end node on grid using the A* algorithm

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +
    +
    +
    Returns:
    +

    path, number of iterations

    +
    +
    Return type:
    +

    Tuple[List, int]

    +
    +
    +
    + +
    +
    +keep_running()
    +

    Check, if we run into time or iteration constrains.

    +
    +
    Raises:
    +
    +
    +
    +
    + +
    +
    +process_node(grid, node, parent, end, open_list, open_value=1)
    +

    We check if the given node is part of the path by calculating its +cost and add or remove it from our path

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – the node we like to test +(the neighbor in A* or jump-node in JumpPointSearch)

      • +

    • parent (GridNode) – the parent node (of the current node we like to test)

      • +

    • end (GridNode) – the end point to calculate the cost of the path

      • +

    • open_list (List) – the list that keeps track of our current path

      • +

    • open_value (bool) – needed if we like to set the open list to something +else than True (used for bi-directional algorithms)

      • +
    +
    +
    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.finder.bi_a_star.html b/pathfinding3d.finder.bi_a_star.html new file mode 100644 index 0000000..c819779 --- /dev/null +++ b/pathfinding3d.finder.bi_a_star.html @@ -0,0 +1,329 @@ + + + + + + + pathfinding3d.finder.bi_a_star module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.finder.bi_a_star module

    +
    +
    +class pathfinding3d.finder.bi_a_star.BiAStarFinder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Bases: AStarFinder

    +

    Similar to the default A* algorithm from a_star.

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable | None) –

      • +

    • weight (int) –

      • +

    • diagonal_movement (int) –

      • +

    • time_limit (float) –

      • +

    • max_runs (int | float) –

      • +
    +
    +
    +
    +
    +__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Find shortest path using Bi-A* algorithm

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +

    • weight (int) – weight for the edges

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +

    • time_limit (float) – max. runtime in seconds

      • +

    • max_runs (int) – max. amount of tries until we abort the search +(optional, only if we enter huge grids and have time constrains) +<=0 means there are no constrains and the code might run on any +large map.

      • +
    +
    +
    +
    + +
    +
    +find_path(start, end, grid)[source]
    +

    Find a path from start to end node on grid using the A* algorithm

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list +(can be a list of grids)

      • +
    +
    +
    Returns:
    +

    path, number of iterations

    +
    +
    Return type:
    +

    Tuple[List, int]

    +
    +
    +
    + +
    +
    +apply_heuristic(node_a, node_b, heuristic=None)
    +

    Helper function to apply heuristic

    +
    +
    Parameters:
    +
      +

    • node_a (GridNode) – first node

      • +

    • node_b (GridNode) – second node

      • +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +
    +
    +
    Returns:
    +

    heuristic value

    +
    +
    Return type:
    +

    float

    +
    +
    +
    + +
    +
    +check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
    +

    Find next path segment based on given node +(or return path if we found the end)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • open_list (List) – stores nodes that will be processed next

      • +

    • open_value (int) –

      • +
    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    Optional[List[GridNode]]

    +
    +
    +
    + +
    +
    +find_neighbors(grid, node, diagonal_movement=None)
    +

    Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – node to find neighbors for

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +
    +
    +
    Returns:
    +

    list of neighbors

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +keep_running()
    +

    Check, if we run into time or iteration constrains.

    +
    +
    Raises:
    +
    +
    +
    +
    + +
    +
    +process_node(grid, node, parent, end, open_list, open_value=1)
    +

    We check if the given node is part of the path by calculating its +cost and add or remove it from our path

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – the node we like to test +(the neighbor in A* or jump-node in JumpPointSearch)

      • +

    • parent (GridNode) – the parent node (of the current node we like to test)

      • +

    • end (GridNode) – the end point to calculate the cost of the path

      • +

    • open_list (List) – the list that keeps track of our current path

      • +

    • open_value (bool) – needed if we like to set the open list to something +else than True (used for bi-directional algorithms)

      • +
    +
    +
    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.finder.breadth_first.html b/pathfinding3d.finder.breadth_first.html new file mode 100644 index 0000000..324fa23 --- /dev/null +++ b/pathfinding3d.finder.breadth_first.html @@ -0,0 +1,328 @@ + + + + + + + pathfinding3d.finder.breadth_first module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.finder.breadth_first module

    +
    +
    +class pathfinding3d.finder.breadth_first.BreadthFirstFinder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Bases: Finder

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable | None) –

      • +

    • weight (int) –

      • +

    • diagonal_movement (int) –

      • +

    • time_limit (float) –

      • +

    • max_runs (int | float) –

      • +
    +
    +
    +
    +
    +__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Find shortest path using Breadth First algorithm

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +

    • weight (int) – weight for the edges

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +

    • time_limit (float) – max. runtime in seconds

      • +

    • max_runs (int) – max. amount of tries until we abort the search +(optional, only if we enter huge grids and have time constrains) +<=0 means there are no constrains and the code might run on any +large map.

      • +
    +
    +
    +
    + +
    +
    +check_neighbors(start, end, grid, open_list)[source]
    +

    Find next path segment based on given node +(or return path if we found the end)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • open_list (List) – stores nodes that will be processed next

      • +
    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +apply_heuristic(node_a, node_b, heuristic=None)
    +

    Helper function to apply heuristic

    +
    +
    Parameters:
    +
      +

    • node_a (GridNode) – first node

      • +

    • node_b (GridNode) – second node

      • +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +
    +
    +
    Returns:
    +

    heuristic value

    +
    +
    Return type:
    +

    float

    +
    +
    +
    + +
    +
    +find_neighbors(grid, node, diagonal_movement=None)
    +

    Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – node to find neighbors for

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +
    +
    +
    Returns:
    +

    list of neighbors

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +find_path(start, end, grid)
    +

    Find a path from start to end node on grid by iterating over +all neighbors of a node (see check_neighbors)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list +(can be a list of grids)

      • +
    +
    +
    Returns:
    +

    path, number of iterations

    +
    +
    Return type:
    +

    Tuple[List, int]

    +
    +
    +
    + +
    +
    +keep_running()
    +

    Check, if we run into time or iteration constrains.

    +
    +
    Raises:
    +
    +
    +
    +
    + +
    +
    +process_node(grid, node, parent, end, open_list, open_value=1)
    +

    We check if the given node is part of the path by calculating its +cost and add or remove it from our path

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – the node we like to test +(the neighbor in A* or jump-node in JumpPointSearch)

      • +

    • parent (GridNode) – the parent node (of the current node we like to test)

      • +

    • end (GridNode) – the end point to calculate the cost of the path

      • +

    • open_list (List) – the list that keeps track of our current path

      • +

    • open_value (bool) – needed if we like to set the open list to something +else than True (used for bi-directional algorithms)

      • +
    +
    +
    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.finder.dijkstra.html b/pathfinding3d.finder.dijkstra.html new file mode 100644 index 0000000..284ec54 --- /dev/null +++ b/pathfinding3d.finder.dijkstra.html @@ -0,0 +1,325 @@ + + + + + + + pathfinding3d.finder.dijkstra module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.finder.dijkstra module

    +
    +
    +class pathfinding3d.finder.dijkstra.DijkstraFinder(weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Bases: AStarFinder

    +
    +
    Parameters:
    +
      +

    • weight (int) –

      • +

    • diagonal_movement (int) –

      • +

    • time_limit (float) –

      • +

    • max_runs (int | float) –

      • +
    +
    +
    +
    +
    +__init__(weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Find shortest path using Dijkstra algorithm

    +
    +
    Parameters:
    +
      +

    • weight (int) – weight for the edges

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +

    • time_limit (float) – max. runtime in seconds

      • +

    • max_runs (int) – max. amount of tries until we abort the search +(optional, only if we enter huge grids and have time constrains) +<=0 means there are no constrains and the code might run on any +large map.

      • +
    +
    +
    +
    + +
    +
    +apply_heuristic(node_a, node_b, heuristic=None)[source]
    +

    Helper function to apply heuristic

    +
    +
    Parameters:
    +
      +

    • node_a (Node) – first node

      • +

    • node_b (Node) – second node

      • +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +
    +
    +
    Returns:
    +

    0.0

    +
    +
    Return type:
    +

    float

    +
    +
    +
    + +
    +
    +check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
    +

    Find next path segment based on given node +(or return path if we found the end)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • open_list (List) – stores nodes that will be processed next

      • +

    • open_value (int) –

      • +
    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    Optional[List[GridNode]]

    +
    +
    +
    + +
    +
    +find_neighbors(grid, node, diagonal_movement=None)
    +

    Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – node to find neighbors for

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +
    +
    +
    Returns:
    +

    list of neighbors

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +find_path(start, end, grid)
    +

    Find a path from start to end node on grid using the A* algorithm

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +
    +
    +
    Returns:
    +

    path, number of iterations

    +
    +
    Return type:
    +

    Tuple[List, int]

    +
    +
    +
    + +
    +
    +keep_running()
    +

    Check, if we run into time or iteration constrains.

    +
    +
    Raises:
    +
    +
    +
    +
    + +
    +
    +process_node(grid, node, parent, end, open_list, open_value=1)
    +

    We check if the given node is part of the path by calculating its +cost and add or remove it from our path

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – the node we like to test +(the neighbor in A* or jump-node in JumpPointSearch)

      • +

    • parent (GridNode) – the parent node (of the current node we like to test)

      • +

    • end (GridNode) – the end point to calculate the cost of the path

      • +

    • open_list (List) – the list that keeps track of our current path

      • +

    • open_value (bool) – needed if we like to set the open list to something +else than True (used for bi-directional algorithms)

      • +
    +
    +
    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.finder.finder.html b/pathfinding3d.finder.finder.html new file mode 100644 index 0000000..83b6fbe --- /dev/null +++ b/pathfinding3d.finder.finder.html @@ -0,0 +1,377 @@ + + + + + + + pathfinding3d.finder.finder module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.finder.finder module

    +
    +
    +exception pathfinding3d.finder.finder.ExecutionTimeException(message)[source]
    +

    Bases: Exception

    +
    +
    +__init__(message)[source]
    +
    + +
    +
    +args
    +
    + +
    +
    +with_traceback()
    +

    Exception.with_traceback(tb) – +set self.__traceback__ to tb and return self.

    +
    + +
    + +
    +
    +exception pathfinding3d.finder.finder.ExecutionRunsException(message)[source]
    +

    Bases: Exception

    +
    +
    +__init__(message)[source]
    +
    + +
    +
    +args
    +
    + +
    +
    +with_traceback()
    +

    Exception.with_traceback(tb) – +set self.__traceback__ to tb and return self.

    +
    + +
    + +
    +
    +class pathfinding3d.finder.finder.Finder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, weighted=True, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Bases: object

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable | None) –

      • +

    • weight (int) –

      • +

    • diagonal_movement (int) –

      • +

    • weighted (bool) –

      • +

    • time_limit (float) –

      • +

    • max_runs (int | float) –

      • +
    +
    +
    +
    +
    +__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, weighted=True, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Find shortest path

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +

    • weight (int) – weight for the edges

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +

    • weighted (the algorithm supports weighted nodes) – (should be True for A* and Dijkstra)

      • +

    • time_limit (float) – max. runtime in seconds

      • +

    • max_runs (int) – max. amount of tries until we abort the search +(optional, only if we enter huge grids and have time constrains) +<=0 means there are no constrains and the code might run on any +large map.

      • +
    +
    +
    +
    + +
    +
    +apply_heuristic(node_a, node_b, heuristic=None)[source]
    +

    Helper function to apply heuristic

    +
    +
    Parameters:
    +
      +

    • node_a (GridNode) – first node

      • +

    • node_b (GridNode) – second node

      • +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +
    +
    +
    Returns:
    +

    heuristic value

    +
    +
    Return type:
    +

    float

    +
    +
    +
    + +
    +
    +find_neighbors(grid, node, diagonal_movement=None)[source]
    +

    Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – node to find neighbors for

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +
    +
    +
    Returns:
    +

    list of neighbors

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +keep_running()[source]
    +

    Check, if we run into time or iteration constrains.

    +
    +
    Raises:
    +
    +
    +
    +
    + +
    +
    +process_node(grid, node, parent, end, open_list, open_value=1)[source]
    +

    We check if the given node is part of the path by calculating its +cost and add or remove it from our path

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – the node we like to test +(the neighbor in A* or jump-node in JumpPointSearch)

      • +

    • parent (GridNode) – the parent node (of the current node we like to test)

      • +

    • end (GridNode) – the end point to calculate the cost of the path

      • +

    • open_list (List) – the list that keeps track of our current path

      • +

    • open_value (bool) – needed if we like to set the open list to something +else than True (used for bi-directional algorithms)

      • +
    +
    +
    +
    + +
    +
    +check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)[source]
    +

    find next path segment based on given node +(or return path if we found the end)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • open_list (List) – stores nodes that will be processed next

      • +

    • open_value (int) –

      • +
    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    Optional[List[GridNode]]

    +
    +
    +
    + +
    +
    +find_path(start, end, grid)[source]
    +

    Find a path from start to end node on grid by iterating over +all neighbors of a node (see check_neighbors)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list +(can be a list of grids)

      • +
    +
    +
    Returns:
    +

    path, number of iterations

    +
    +
    Return type:
    +

    Tuple[List, int]

    +
    +
    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.finder.html b/pathfinding3d.finder.html index cc79718..0b8cb74 100644 --- a/pathfinding3d.finder.html +++ b/pathfinding3d.finder.html @@ -4,7 +4,7 @@ - pathfinding3d.finder package — pathfinding3d 0.6.1 documentation + pathfinding3d.finder package — pathfinding3d 0.6.2 documentation @@ -18,7 +18,7 @@ - + @@ -26,7 +26,8 @@ - + + @@ -41,7 +42,7 @@ pathfinding3d
    - 0.6.1 + 0.6.2
    @@ -78,16 +79,17 @@
  • Change Log
  • pathfinding3d
      @@ -132,1435 +134,142 @@

      pathfinding3d.finder package

      Submodules

      -
      -
      -

      pathfinding3d.finder.a_star module

      -
      -
      -class pathfinding3d.finder.a_star.AStarFinder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Bases: Finder

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable | None) –

        • -

      • weight (int) –

        • -

      • diagonal_movement (int) –

        • -

      • time_limit (float) –

        • -

      • max_runs (int | float) –

        • -
      -
      -
      -
      -
      -__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Find shortest path using A* algorithm

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -

      • weight (int) – weight for the edges

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -

      • time_limit (float) – max. runtime in seconds

        • -

      • max_runs (int) – max. amount of tries until we abort the search -(optional, only if we enter huge grids and have time constrains) -<=0 means there are no constrains and the code might run on any -large map.

        • -
      -
      -
      -
      - -
      -
      -check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)[source]
      -

      Find next path segment based on given node -(or return path if we found the end)

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • open_list (List) – stores nodes that will be processed next

        • -

      • open_value (int) –

        • -
      -
      -
      Returns:
      -

      path

      -
      -
      Return type:
      -

      Optional[List[GridNode]]

      -
      -
      -
      - -
      -
      -apply_heuristic(node_a, node_b, heuristic=None)
      -

      Helper function to apply heuristic

      -
      -
      Parameters:
      -
        -

      • node_a (GridNode) – first node

        • -

      • node_b (GridNode) – second node

        • -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -
      -
      -
      Returns:
      -

      heuristic value

      -
      -
      Return type:
      -

      float

      -
      -
      -
      - -
      -
      -find_neighbors(grid, node, diagonal_movement=None)
      -

      Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – node to find neighbors for

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -
      -
      -
      Returns:
      -

      list of neighbors

      -
      -
      Return type:
      -

      List[GridNode]

      -
      -
      -
      - -
      -
      -find_path(start, end, grid)[source]
      -

      Find a path from start to end node on grid using the A* algorithm

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -
      -
      -
      Returns:
      -

      path, number of iterations

      -
      -
      Return type:
      -

      Tuple[List, int]

      -
      -
      -
      - -
      -
      -keep_running()
      -

      Check, if we run into time or iteration constrains.

      -
      -
      Raises:
      -
      -
      -
      -
      - -
      -
      -process_node(grid, node, parent, end, open_list, open_value=1)
      -

      We check if the given node is part of the path by calculating its -cost and add or remove it from our path

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – the node we like to test -(the neighbor in A* or jump-node in JumpPointSearch)

        • -

      • parent (GridNode) – the parent node (of the current node we like to test)

        • -

      • end (GridNode) – the end point to calculate the cost of the path

        • -

      • open_list (List) – the list that keeps track of our current path

        • -

      • open_value (bool) – needed if we like to set the open list to something -else than True (used for bi-directional algorithms)

        • -
      -
      -
      -
      - -
      - -
      -
      -

      pathfinding3d.finder.best_first module

      -
      -
      -class pathfinding3d.finder.best_first.BestFirst(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Bases: AStarFinder

      -

      Similar to the default A* algorithm from a_star.

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable | None) –

        • -

      • weight (int) –

        • -

      • diagonal_movement (int) –

        • -

      • time_limit (float) –

        • -

      • max_runs (int | float) –

        • -
      -
      -
      -
      -
      -__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Find shortest path using BestFirst algorithm

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -

      • weight (int) – weight for the edges

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -

      • time_limit (float) – max. runtime in seconds

        • -

      • max_runs (int) – max. amount of tries until we abort the search -(optional, only if we enter huge grids and have time constrains) -<=0 means there are no constrains and the code might run on any -large map.

        • -
      -
      -
      -
      - -
      -
      -apply_heuristic(node_a, node_b, heuristic=None)[source]
      -

      Helper function to apply heuristic

      -
      -
      Parameters:
      -
        -

      • node_a (GridNode) – first node

        • -

      • node_b (GridNode) – second node

        • -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -
      -
      -
      Returns:
      -

      heuristic value

      -
      -
      Return type:
      -

      float

      -
      -
      -
      - -
      -
      -check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
      -

      Find next path segment based on given node -(or return path if we found the end)

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • open_list (List) – stores nodes that will be processed next

        • -

      • open_value (int) –

        • -
      -
      -
      Returns:
      -

      path

      -
      -
      Return type:
      -

      Optional[List[GridNode]]

      -
      -
      -
      - -
      -
      -find_neighbors(grid, node, diagonal_movement=None)
      -

      Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – node to find neighbors for

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -
      -
      -
      Returns:
      -

      list of neighbors

      -
      -
      Return type:
      -

      List[GridNode]

      -
      -
      -
      - -
      -
      -find_path(start, end, grid)
      -

      Find a path from start to end node on grid using the A* algorithm

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -
      -
      -
      Returns:
      -

      path, number of iterations

      -
      -
      Return type:
      -

      Tuple[List, int]

      -
      -
      -
      - -
      -
      -keep_running()
      -

      Check, if we run into time or iteration constrains.

      -
      -
      Raises:
      -
      -
      -
      -
      - -
      -
      -process_node(grid, node, parent, end, open_list, open_value=1)
      -

      We check if the given node is part of the path by calculating its -cost and add or remove it from our path

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – the node we like to test -(the neighbor in A* or jump-node in JumpPointSearch)

        • -

      • parent (GridNode) – the parent node (of the current node we like to test)

        • -

      • end (GridNode) – the end point to calculate the cost of the path

        • -

      • open_list (List) – the list that keeps track of our current path

        • -

      • open_value (bool) – needed if we like to set the open list to something -else than True (used for bi-directional algorithms)

        • -
      -
      -
      -
      - -
      - -
      -
      -

      pathfinding3d.finder.bi_a_star module

      -
      -
      -class pathfinding3d.finder.bi_a_star.BiAStarFinder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Bases: AStarFinder

      -

      Similar to the default A* algorithm from a_star.

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable | None) –

        • -

      • weight (int) –

        • -

      • diagonal_movement (int) –

        • -

      • time_limit (float) –

        • -

      • max_runs (int | float) –

        • -
      -
      -
      -
      -
      -__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Find shortest path using Bi-A* algorithm

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -

      • weight (int) – weight for the edges

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -

      • time_limit (float) – max. runtime in seconds

        • -

      • max_runs (int) – max. amount of tries until we abort the search -(optional, only if we enter huge grids and have time constrains) -<=0 means there are no constrains and the code might run on any -large map.

        • -
      -
      -
      -
      - -
      -
      -find_path(start, end, grid)[source]
      -

      Find a path from start to end node on grid using the A* algorithm

      -
      -
      Parameters:
      -
      -
      Returns:
      -

      path, number of iterations

      -
      -
      Return type:
      -

      Tuple[List, int]

      -
      -
      -
      - -
      -
      -apply_heuristic(node_a, node_b, heuristic=None)
      -

      Helper function to apply heuristic

      -
      -
      Parameters:
      -
        -

      • node_a (GridNode) – first node

        • -

      • node_b (GridNode) – second node

        • -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -
      -
      -
      Returns:
      -

      heuristic value

      -
      -
      Return type:
      -

      float

      -
      -
      -
      - -
      -
      -check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
      -

      Find next path segment based on given node -(or return path if we found the end)

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • open_list (List) – stores nodes that will be processed next

        • -

      • open_value (int) –

        • -
      -
      -
      Returns:
      -

      path

      -
      -
      Return type:
      -

      Optional[List[GridNode]]

      -
      -
      -
      - -
      -
      -find_neighbors(grid, node, diagonal_movement=None)
      -

      Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – node to find neighbors for

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -
      -
      -
      Returns:
      -

      list of neighbors

      -
      -
      Return type:
      -

      List[GridNode]

      -
      -
      -
      - -
      -
      -keep_running()
      -

      Check, if we run into time or iteration constrains.

      -
      -
      Raises:
      -
      -
      -
      -
      - -
      -
      -process_node(grid, node, parent, end, open_list, open_value=1)
      -

      We check if the given node is part of the path by calculating its -cost and add or remove it from our path

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – the node we like to test -(the neighbor in A* or jump-node in JumpPointSearch)

        • -

      • parent (GridNode) – the parent node (of the current node we like to test)

        • -

      • end (GridNode) – the end point to calculate the cost of the path

        • -

      • open_list (List) – the list that keeps track of our current path

        • -

      • open_value (bool) – needed if we like to set the open list to something -else than True (used for bi-directional algorithms)

        • -
      -
      -
      -
      - -
      - -
      -
      -

      pathfinding3d.finder.breadth_first module

      -
      -
      -class pathfinding3d.finder.breadth_first.BreadthFirstFinder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Bases: Finder

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable | None) –

        • -

      • weight (int) –

        • -

      • diagonal_movement (int) –

        • -

      • time_limit (float) –

        • -

      • max_runs (int | float) –

        • -
      -
      -
      -
      -
      -__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Find shortest path using Breadth First algorithm

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -

      • weight (int) – weight for the edges

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -

      • time_limit (float) – max. runtime in seconds

        • -

      • max_runs (int) – max. amount of tries until we abort the search -(optional, only if we enter huge grids and have time constrains) -<=0 means there are no constrains and the code might run on any -large map.

        • -
      -
      -
      -
      - -
      -
      -check_neighbors(start, end, grid, open_list)[source]
      -

      Find next path segment based on given node -(or return path if we found the end)

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • open_list (List) – stores nodes that will be processed next

        • -
      -
      -
      Returns:
      -

      path

      -
      -
      Return type:
      -

      List[GridNode]

      -
      -
      -
      - -
      -
      -apply_heuristic(node_a, node_b, heuristic=None)
      -

      Helper function to apply heuristic

      -
      -
      Parameters:
      -
        -

      • node_a (GridNode) – first node

        • -

      • node_b (GridNode) – second node

        • -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -
      -
      -
      Returns:
      -

      heuristic value

      -
      -
      Return type:
      -

      float

      -
      -
      -
      - -
      -
      -find_neighbors(grid, node, diagonal_movement=None)
      -

      Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – node to find neighbors for

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -
      -
      -
      Returns:
      -

      list of neighbors

      -
      -
      Return type:
      -

      List[GridNode]

      -
      -
      -
      - -
      -
      -find_path(start, end, grid)
      -

      Find a path from start to end node on grid by iterating over -all neighbors of a node (see check_neighbors)

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list -(can be a list of grids)

        • -
      -
      -
      Returns:
      -

      path, number of iterations

      -
      -
      Return type:
      -

      Tuple[List, int]

      -
      -
      -
      - -
      -
      -keep_running()
      -

      Check, if we run into time or iteration constrains.

      -
      -
      Raises:
      -
      -
      -
      -
      - -
      -
      -process_node(grid, node, parent, end, open_list, open_value=1)
      -

      We check if the given node is part of the path by calculating its -cost and add or remove it from our path

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – the node we like to test -(the neighbor in A* or jump-node in JumpPointSearch)

        • -

      • parent (GridNode) – the parent node (of the current node we like to test)

        • -

      • end (GridNode) – the end point to calculate the cost of the path

        • -

      • open_list (List) – the list that keeps track of our current path

        • -

      • open_value (bool) – needed if we like to set the open list to something -else than True (used for bi-directional algorithms)

        • -
      -
      -
      -
      - -
      - -
      -
      -

      pathfinding3d.finder.dijkstra module

      -
      -
      -class pathfinding3d.finder.dijkstra.DijkstraFinder(weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Bases: AStarFinder

      -
      -
      Parameters:
      -
        -

      • weight (int) –

        • -

      • diagonal_movement (int) –

        • -

      • time_limit (float) –

        • -

      • max_runs (int | float) –

        • -
      -
      -
      -
      -
      -__init__(weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Find shortest path using Dijkstra algorithm

      -
      -
      Parameters:
      -
        -

      • weight (int) – weight for the edges

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -

      • time_limit (float) – max. runtime in seconds

        • -

      • max_runs (int) – max. amount of tries until we abort the search -(optional, only if we enter huge grids and have time constrains) -<=0 means there are no constrains and the code might run on any -large map.

        • -
      -
      -
      -
      - -
      -
      -apply_heuristic(node_a, node_b, heuristic=None)[source]
      -

      Helper function to apply heuristic

      -
      -
      Parameters:
      -
        -

      • node_a (Node) – first node

        • -

      • node_b (Node) – second node

        • -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -
      -
      -
      Returns:
      -

      0.0

      -
      -
      Return type:
      -

      float

      -
      -
      -
      - -
      -
      -check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
      -

      Find next path segment based on given node -(or return path if we found the end)

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • open_list (List) – stores nodes that will be processed next

        • -

      • open_value (int) –

        • -
      -
      -
      Returns:
      -

      path

      -
      -
      Return type:
      -

      Optional[List[GridNode]]

      -
      -
      -
      - -
      -
      -find_neighbors(grid, node, diagonal_movement=None)
      -

      Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – node to find neighbors for

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -
      -
      -
      Returns:
      -

      list of neighbors

      -
      -
      Return type:
      -

      List[GridNode]

      -
      -
      -
      - -
      -
      -find_path(start, end, grid)
      -

      Find a path from start to end node on grid using the A* algorithm

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -
      -
      -
      Returns:
      -

      path, number of iterations

      -
      -
      Return type:
      -

      Tuple[List, int]

      -
      -
      -
      - -
      -
      -keep_running()
      -

      Check, if we run into time or iteration constrains.

      -
      -
      Raises:
      -
      -
      -
      -
      - -
      -
      -process_node(grid, node, parent, end, open_list, open_value=1)
      -

      We check if the given node is part of the path by calculating its -cost and add or remove it from our path

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – the node we like to test -(the neighbor in A* or jump-node in JumpPointSearch)

        • -

      • parent (GridNode) – the parent node (of the current node we like to test)

        • -

      • end (GridNode) – the end point to calculate the cost of the path

        • -

      • open_list (List) – the list that keeps track of our current path

        • -

      • open_value (bool) – needed if we like to set the open list to something -else than True (used for bi-directional algorithms)

        • -
      -
      -
      -
      - -
      - -
      -
      -

      pathfinding3d.finder.finder module

      -
      -
      -exception pathfinding3d.finder.finder.ExecutionTimeException(message)[source]
      -

      Bases: Exception

      -
      -
      -__init__(message)[source]
      -
      - -
      -
      -args
      -
      - -
      -
      -with_traceback()
      -

      Exception.with_traceback(tb) – -set self.__traceback__ to tb and return self.

      -
      - -
      - -
      -
      -exception pathfinding3d.finder.finder.ExecutionRunsException(message)[source]
      -

      Bases: Exception

      -
      -
      -__init__(message)[source]
      -
      - -
      -
      -args
      -
      - -
      -
      -with_traceback()
      -

      Exception.with_traceback(tb) – -set self.__traceback__ to tb and return self.

      -
      - -
      - -
      -
      -class pathfinding3d.finder.finder.Finder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, weighted=True, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Bases: object

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable | None) –

        • -

      • weight (int) –

        • -

      • diagonal_movement (int) –

        • -

      • weighted (bool) –

        • -

      • time_limit (float) –

        • -

      • max_runs (int | float) –

        • -
      -
      -
      -
      -
      -__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, weighted=True, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
      -

      Find shortest path

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -

      • weight (int) – weight for the edges

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -

      • weighted (the algorithm supports weighted nodes) – (should be True for A* and Dijkstra)

        • -

      • time_limit (float) – max. runtime in seconds

        • -

      • max_runs (int) – max. amount of tries until we abort the search -(optional, only if we enter huge grids and have time constrains) -<=0 means there are no constrains and the code might run on any -large map.

        • -
      -
      -
      -
      - -
      -
      -apply_heuristic(node_a, node_b, heuristic=None)[source]
      -

      Helper function to apply heuristic

      -
      -
      Parameters:
      -
        -

      • node_a (GridNode) – first node

        • -

      • node_b (GridNode) – second node

        • -

      • heuristic (Callable) – heuristic used to calculate distance of 2 points

        • -
      -
      -
      Returns:
      -

      heuristic value

      -
      -
      Return type:
      -

      float

      -
      -
      -
      - -
      -
      -find_neighbors(grid, node, diagonal_movement=None)[source]
      -

      Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – node to find neighbors for

        • -

      • diagonal_movement (int) – if diagonal movement is allowed -(see enum in diagonal_movement)

        • -
      -
      -
      Returns:
      -

      list of neighbors

      -
      -
      Return type:
      -

      List[GridNode]

      -
      -
      -
      - -
      -
      -keep_running()[source]
      -

      Check, if we run into time or iteration constrains.

      -
      -
      Raises:
      -
      -
      -
      -
      - -
      -
      -process_node(grid, node, parent, end, open_list, open_value=1)[source]
      -

      We check if the given node is part of the path by calculating its -cost and add or remove it from our path

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – the node we like to test -(the neighbor in A* or jump-node in JumpPointSearch)

        • -

      • parent (GridNode) – the parent node (of the current node we like to test)

        • -

      • end (GridNode) – the end point to calculate the cost of the path

        • -

      • open_list (List) – the list that keeps track of our current path

        • -

      • open_value (bool) – needed if we like to set the open list to something -else than True (used for bi-directional algorithms)

        • -
      -
      -
      -
      - -
      -
      -check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)[source]
      -

      find next path segment based on given node -(or return path if we found the end)

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • open_list (List) – stores nodes that will be processed next

        • -

      • open_value (int) –

        • +
      -
      -
      Returns:
      -

      path

      -
      -
      Return type:
      -

      Optional[List[GridNode]]

      -
      -
      -
      - -
      -
      -find_path(start, end, grid)[source]
      -

      Find a path from start to end node on grid by iterating over -all neighbors of a node (see check_neighbors)

      -
      -
      Parameters:
      -
      -
      Returns:
      -

      path, number of iterations

      -
      -
      Return type:
      -

      Tuple[List, int]

      -
      -
      -
      - -
      - -
      -
      -

      pathfinding3d.finder.ida_star module

      -
      -
      -class pathfinding3d.finder.ida_star.IDAStarFinder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS, track_recursion=True)[source]
      -

      Bases: Finder

      -

      Iterative Deeping A Star (IDA*) path-finder.

      -

      Recursion based on: -http://www.apl.jhu.edu/~hall/AI-Programming/IDA-Star.html

      -

      Path retracing based on: -V. Nageshwara Rao, Vipin Kumar and K. Ramesh -“A Parallel Implementation of Iterative-Deeping-A*”, January 1987. -ftp://ftp.cs.utexas.edu/.snapshot/hourly.1/pub/AI-Lab/tech-reports/ -UT-AI-TR-87-46.pdf

      -

      based on the JavaScript implementation by Gerard Meier -(www.gerardmeier.com)

      -
      -
      Parameters:
      -
        -

      • heuristic (Callable | None) –

        • -

      • weight (int) –

        • -

      • diagonal_movement (int) –

        • -

      • time_limit (float) –

        • -

      • max_runs (int | float) –

        • -

      • track_recursion (bool) –

        • +
      -
      -
      -
      -
      -__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS, track_recursion=True)[source]
      -

      Find shortest path using IDA* algorithm

      -
      -
      Parameters:
      -
      -
      -
      - -
      -
      -search(node, g, cutoff, path, depth, end, grid)[source]
      -

      Recursive IDA* search implementation

      -
      -
      Parameters:
      -
        -

      • node (GridNode) – current node

        • -

      • g (float) – cost from start to current node

        • -

      • cutoff (float) – cutoff cost

        • -

      • path (List[GridNode]) – path

        • -

      • depth (int) – current depth

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • +
      -
      -
      Returns:
      -

      cutoff cost or end node

      -
      -
      Return type:
      -

      Union[float, GridNode]

      -
      -
      -
      - -
      -
      -apply_heuristic(node_a, node_b, heuristic=None)
      -

      Helper function to apply heuristic

      -
      -
      Parameters:
      -
      -
      Returns:
      -

      heuristic value

      -
      -
      Return type:
      -

      float

      -
      -
      -
      - -
      -
      -check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
      -

      find next path segment based on given node -(or return path if we found the end)

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • open_list (List) – stores nodes that will be processed next

        • -

      • open_value (int) –

        • +
      -
      -
      Returns:
      -

      path

      -
      -
      Return type:
      -

      Optional[List[GridNode]]

      -
      -
      -
      - -
      -
      -find_neighbors(grid, node, diagonal_movement=None)
      -

      Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

      -
      -
      Parameters:
      -
      -
      Returns:
      -

      list of neighbors

      -
      -
      Return type:
      -

      List[GridNode]

      -
      -
      -
      - -
      -
      -find_path(start, end, grid)[source]
      -

      Find a path from start to end node on grid using the IDA* algorithm

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • +
      -
      -
      Returns:
      -

      path, number of iterations

      -
      -
      Return type:
      -

      Tuple[List, int]

      -
      -
      -
      - -
      -
      -keep_running()
      -

      Check, if we run into time or iteration constrains.

      -
      -
      Raises:
      -
      -
      -
      - -
      -
      -process_node(grid, node, parent, end, open_list, open_value=1)
      -

      We check if the given node is part of the path by calculating its -cost and add or remove it from our path

      -
      -
      Parameters:
      -
      -
      -
      - -
      - -
      -
      -

      pathfinding3d.finder.msp module

      -
      -
      -class pathfinding3d.finder.msp.MinimumSpanningTree(*args, **kwargs)[source]
      -

      Bases: Finder

      -

      Minimum Spanning Tree implementation by Brad Beattie -(see https://github.com/brean/python-pathfinding/issues/18)

      -

      The wikipedia page has a nice description about MSP: -https://en.wikipedia.org/wiki/Minimum_spanning_tree

      -
      -
      -__init__(*args, **kwargs)[source]
      -

      Find shortest path

      -
      -
      Parameters:
      -
      -
      -
      - -
      -
      -tree(grid, start)[source]
      -

      Returns a list of nodes that are part of the minimum spanning tree -of the grid.

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • start (GridNode) – start node

        • +
      -
      -
      Return type:
      -

      List[GridNode]

      -
      -
      -
      - -
      -
      -itertree(grid, start)[source]
      -

      Returns a generator that yields nodes that are part of the minimum -spanning tree of the grid.

      -
      -
      Parameters:
      -
      -
      -
      - -
      -
      -find_path(start, end, grid)[source]
      -

      Find a path from start to end node on grid using the Minimum Spanning -Tree algorithm

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • +
      -
      -
      Returns:
      -

      path, number of iterations

      -
      -
      Return type:
      -

      Tuple[List, int]

      -
      -
      -
      - -
      -
      -apply_heuristic(node_a, node_b, heuristic=None)
      -

      Helper function to apply heuristic

      -
      -
      Parameters:
      -
      -
      Returns:
      -

      heuristic value

      -
      -
      Return type:
      -

      float

      -
      -
      -
      - -
      -
      -check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
      -

      find next path segment based on given node -(or return path if we found the end)

      -
      -
      Parameters:
      -
        -

      • start (GridNode) – start node

        • -

      • end (GridNode) – end node

        • -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • open_list (List) – stores nodes that will be processed next

        • -

      • open_value (int) –

        • +
      -
      -
      Returns:
      -

      path

      -
      -
      Return type:
      -

      Optional[List[GridNode]]

      -
      -
      -
      - -
      -
      -find_neighbors(grid, node, diagonal_movement=None)
      -

      Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

      -
      -
      Parameters:
      -
      -
      Returns:
      -

      list of neighbors

      -
      -
      Return type:
      -

      List[GridNode]

      -
      -
      -
      - -
      -
      -keep_running()
      -

      Check, if we run into time or iteration constrains.

      -
      -
      Raises:
      -
      -
      -
      -
      - -
      -
      -process_node(grid, node, parent, end, open_list, open_value=1)
      -

      We check if the given node is part of the path by calculating its -cost and add or remove it from our path

      -
      -
      Parameters:
      -
        -

      • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

        • -

      • node (GridNode) – the node we like to test -(the neighbor in A* or jump-node in JumpPointSearch)

        • -

      • parent (GridNode) – the parent node (of the current node we like to test)

        • -

      • end (GridNode) – the end point to calculate the cost of the path

        • -

      • open_list (List) – the list that keeps track of our current path

        • -

      • open_value (bool) – needed if we like to set the open list to something -else than True (used for bi-directional algorithms)

        • +
      -
      -
      -
      - -
      - +
    • @@ -1568,7 +277,8 @@

    Submodules - + +
    diff --git a/pathfinding3d.finder.ida_star.html b/pathfinding3d.finder.ida_star.html new file mode 100644 index 0000000..c455ea7 --- /dev/null +++ b/pathfinding3d.finder.ida_star.html @@ -0,0 +1,364 @@ + + + + + + + pathfinding3d.finder.ida_star module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.finder.ida_star module

    +
    +
    +class pathfinding3d.finder.ida_star.IDAStarFinder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS, track_recursion=True)[source]
    +

    Bases: Finder

    +

    Iterative Deeping A Star (IDA*) path-finder.

    +

    Recursion based on: +http://www.apl.jhu.edu/~hall/AI-Programming/IDA-Star.html

    +

    Path retracing based on: +V. Nageshwara Rao, Vipin Kumar and K. Ramesh +“A Parallel Implementation of Iterative-Deeping-A*”, January 1987. +ftp://ftp.cs.utexas.edu/.snapshot/hourly.1/pub/AI-Lab/tech-reports/ +UT-AI-TR-87-46.pdf

    +

    based on the JavaScript implementation by Gerard Meier +(www.gerardmeier.com)

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable | None) –

      • +

    • weight (int) –

      • +

    • diagonal_movement (int) –

      • +

    • time_limit (float) –

      • +

    • max_runs (int | float) –

      • +

    • track_recursion (bool) –

      • +
    +
    +
    +
    +
    +__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.never, time_limit=TIME_LIMIT, max_runs=MAX_RUNS, track_recursion=True)[source]
    +

    Find shortest path using IDA* algorithm

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +

    • weight (int) – weight for the edges

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +

    • time_limit (float) – max. runtime in seconds

      • +

    • max_runs (int) – max. amount of tries until we abort the search +(optional, only if we enter huge grids and have time constrains) +<=0 means there are no constrains and the code might run on any +large map.

      • +

    • track_recursion (bool) – if we should track recursion

      • +
    +
    +
    +
    + +
    +
    +search(node, g, cutoff, path, depth, end, grid)[source]
    +

    Recursive IDA* search implementation

    +
    +
    Parameters:
    +
      +

    • node (GridNode) – current node

      • +

    • g (float) – cost from start to current node

      • +

    • cutoff (float) – cutoff cost

      • +

    • path (List[GridNode]) – path

      • +

    • depth (int) – current depth

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +
    +
    +
    Returns:
    +

    cutoff cost or end node

    +
    +
    Return type:
    +

    Union[float, GridNode]

    +
    +
    +
    + +
    +
    +apply_heuristic(node_a, node_b, heuristic=None)
    +

    Helper function to apply heuristic

    +
    +
    Parameters:
    +
      +

    • node_a (GridNode) – first node

      • +

    • node_b (GridNode) – second node

      • +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +
    +
    +
    Returns:
    +

    heuristic value

    +
    +
    Return type:
    +

    float

    +
    +
    +
    + +
    +
    +check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
    +

    find next path segment based on given node +(or return path if we found the end)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • open_list (List) – stores nodes that will be processed next

      • +

    • open_value (int) –

      • +
    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    Optional[List[GridNode]]

    +
    +
    +
    + +
    +
    +find_neighbors(grid, node, diagonal_movement=None)
    +

    Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – node to find neighbors for

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +
    +
    +
    Returns:
    +

    list of neighbors

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +find_path(start, end, grid)[source]
    +

    Find a path from start to end node on grid using the IDA* algorithm

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +
    +
    +
    Returns:
    +

    path, number of iterations

    +
    +
    Return type:
    +

    Tuple[List, int]

    +
    +
    +
    + +
    +
    +keep_running()
    +

    Check, if we run into time or iteration constrains.

    +
    +
    Raises:
    +
    +
    +
    +
    + +
    +
    +process_node(grid, node, parent, end, open_list, open_value=1)
    +

    We check if the given node is part of the path by calculating its +cost and add or remove it from our path

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – the node we like to test +(the neighbor in A* or jump-node in JumpPointSearch)

      • +

    • parent (GridNode) – the parent node (of the current node we like to test)

      • +

    • end (GridNode) – the end point to calculate the cost of the path

      • +

    • open_list (List) – the list that keeps track of our current path

      • +

    • open_value (bool) – needed if we like to set the open list to something +else than True (used for bi-directional algorithms)

      • +
    +
    +
    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.finder.msp.html b/pathfinding3d.finder.msp.html new file mode 100644 index 0000000..f8242aa --- /dev/null +++ b/pathfinding3d.finder.msp.html @@ -0,0 +1,355 @@ + + + + + + + pathfinding3d.finder.msp module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.finder.msp module

    +
    +
    +class pathfinding3d.finder.msp.MinimumSpanningTree(*args, **kwargs)[source]
    +

    Bases: Finder

    +

    Minimum Spanning Tree implementation by Brad Beattie +(see https://github.com/brean/python-pathfinding/issues/18)

    +

    The wikipedia page has a nice description about MSP: +https://en.wikipedia.org/wiki/Minimum_spanning_tree

    +
    +
    +__init__(*args, **kwargs)[source]
    +

    Find shortest path

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +

    • weight (int) – weight for the edges

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +

    • weighted (the algorithm supports weighted nodes) – (should be True for A* and Dijkstra)

      • +

    • time_limit (float) – max. runtime in seconds

      • +

    • max_runs (int) – max. amount of tries until we abort the search +(optional, only if we enter huge grids and have time constrains) +<=0 means there are no constrains and the code might run on any +large map.

      • +
    +
    +
    +
    + +
    +
    +tree(grid, start)[source]
    +

    Returns a list of nodes that are part of the minimum spanning tree +of the grid.

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • start (GridNode) – start node

      • +
    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +itertree(grid, start)[source]
    +

    Returns a generator that yields nodes that are part of the minimum +spanning tree of the grid.

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • start (GridNode) – start node

      • +
    +
    +
    +
    + +
    +
    +find_path(start, end, grid)[source]
    +

    Find a path from start to end node on grid using the Minimum Spanning +Tree algorithm

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +
    +
    +
    Returns:
    +

    path, number of iterations

    +
    +
    Return type:
    +

    Tuple[List, int]

    +
    +
    +
    + +
    +
    +apply_heuristic(node_a, node_b, heuristic=None)
    +

    Helper function to apply heuristic

    +
    +
    Parameters:
    +
      +

    • node_a (GridNode) – first node

      • +

    • node_b (GridNode) – second node

      • +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +
    +
    +
    Returns:
    +

    heuristic value

    +
    +
    Return type:
    +

    float

    +
    +
    +
    + +
    +
    +check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
    +

    find next path segment based on given node +(or return path if we found the end)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • open_list (List) – stores nodes that will be processed next

      • +

    • open_value (int) –

      • +
    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    Optional[List[GridNode]]

    +
    +
    +
    + +
    +
    +find_neighbors(grid, node, diagonal_movement=None)
    +

    Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – node to find neighbors for

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +
    +
    +
    Returns:
    +

    list of neighbors

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +keep_running()
    +

    Check, if we run into time or iteration constrains.

    +
    +
    Raises:
    +
    +
    +
    +
    + +
    +
    +process_node(grid, node, parent, end, open_list, open_value=1)
    +

    We check if the given node is part of the path by calculating its +cost and add or remove it from our path

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – the node we like to test +(the neighbor in A* or jump-node in JumpPointSearch)

      • +

    • parent (GridNode) – the parent node (of the current node we like to test)

      • +

    • end (GridNode) – the end point to calculate the cost of the path

      • +

    • open_list (List) – the list that keeps track of our current path

      • +

    • open_value (bool) – needed if we like to set the open list to something +else than True (used for bi-directional algorithms)

      • +
    +
    +
    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.finder.theta_star.html b/pathfinding3d.finder.theta_star.html new file mode 100644 index 0000000..9971270 --- /dev/null +++ b/pathfinding3d.finder.theta_star.html @@ -0,0 +1,325 @@ + + + + + + + pathfinding3d.finder.theta_star module — pathfinding3d 0.6.2 documentation + + + + + + + + + + + + + + + + + + + + + + + +
    + + +
    + +
    +
    +
    + +
    +
    +
    +
    + +
    +

    pathfinding3d.finder.theta_star module

    +
    +
    +class pathfinding3d.finder.theta_star.ThetaStarFinder(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.always, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Bases: AStarFinder

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable) –

      • +

    • weight (int) –

      • +

    • diagonal_movement (int) –

      • +

    • time_limit (float) –

      • +

    • max_runs (int | float) –

      • +
    +
    +
    +
    +
    +__init__(heuristic=None, weight=1, diagonal_movement=DiagonalMovement.always, time_limit=TIME_LIMIT, max_runs=MAX_RUNS)[source]
    +

    Find shortest path using Theta* algorithm +Diagonal movement is forced to always. Not weighted.

    +
    +
    Parameters:
    +
      +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +

    • weight (int) – weight for the edges

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +

    • time_limit (float) – max. runtime in seconds

      • +

    • max_runs (int) – max. amount of tries until we abort the search +(optional, only if we enter huge grids and have time constrains) +<=0 means there are no constrains and the code might run on any +large map.

      • +
    +
    +
    +
    + +
    +
    +process_node(grid, node, parent, end, open_list, open_value=1)[source]
    +

    Check if we can reach the grandparent node directly from the current node +and if so, skip the parent.

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – the node we like to test

      • +

    • parent (GridNode) – the parent node (of the current node we like to test)

      • +

    • end (GridNode) – the end point to calculate the cost of the path

      • +

    • open_list (List) – the list that keeps track of our current path

      • +

    • open_value (bool) – needed if we like to set the open list to something +else than True (used for bi-directional algorithms)

      • +
    +
    +
    +
    + +
    +
    +apply_heuristic(node_a, node_b, heuristic=None)
    +

    Helper function to apply heuristic

    +
    +
    Parameters:
    +
      +

    • node_a (GridNode) – first node

      • +

    • node_b (GridNode) – second node

      • +

    • heuristic (Callable) – heuristic used to calculate distance of 2 points

      • +
    +
    +
    Returns:
    +

    heuristic value

    +
    +
    Return type:
    +

    float

    +
    +
    +
    + +
    +
    +check_neighbors(start, end, grid, open_list, open_value=1, backtrace_by=None)
    +

    Find next path segment based on given node +(or return path if we found the end)

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • open_list (List) – stores nodes that will be processed next

      • +

    • open_value (int) –

      • +
    +
    +
    Returns:
    +

    path

    +
    +
    Return type:
    +

    Optional[List[GridNode]]

    +
    +
    +
    + +
    +
    +find_neighbors(grid, node, diagonal_movement=None)
    +

    Find neighbor, same for Djikstra, A*, Bi-A*, IDA*

    +
    +
    Parameters:
    +
      +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +

    • node (GridNode) – node to find neighbors for

      • +

    • diagonal_movement (int) – if diagonal movement is allowed +(see enum in diagonal_movement)

      • +
    +
    +
    Returns:
    +

    list of neighbors

    +
    +
    Return type:
    +

    List[GridNode]

    +
    +
    +
    + +
    +
    +find_path(start, end, grid)
    +

    Find a path from start to end node on grid using the A* algorithm

    +
    +
    Parameters:
    +
      +

    • start (GridNode) – start node

      • +

    • end (GridNode) – end node

      • +

    • grid (Grid) – grid that stores all possible steps/tiles as 3D-list

      • +
    +
    +
    Returns:
    +

    path, number of iterations

    +
    +
    Return type:
    +

    Tuple[List, int]

    +
    +
    +
    + +
    +
    +keep_running()
    +

    Check, if we run into time or iteration constrains.

    +
    +
    Raises:
    +
    +
    +
    +
    + +
    + +
    + + +
    +
    +
    + +
    + +
    +

    © Copyright 2024, Harisankar Babu.

    +
    + + + +
    +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/pathfinding3d.html b/pathfinding3d.html index 0767ddb..ecee1e1 100644 --- a/pathfinding3d.html +++ b/pathfinding3d.html @@ -4,7 +4,7 @@ - pathfinding3d package — pathfinding3d 0.6.1 documentation + pathfinding3d package — pathfinding3d 0.6.2 documentation @@ -18,7 +18,7 @@ - + @@ -42,7 +42,7 @@ pathfinding3d
    - 0.6.1 + 0.6.2
    @@ -79,16 +79,17 @@
  • Change Log
  • pathfinding3d
      @@ -135,122 +136,45 @@

      Subpackages
      • pathfinding3d.core package
          -
        • Submodules
          • -
        • pathfinding3d.core.diagonal_movement module
            -
          • DiagonalMovement
              -
            • DiagonalMovement.always
              • -
            • DiagonalMovement.never
              • -
            • DiagonalMovement.if_at_most_one_obstacle
              • -
            • DiagonalMovement.only_when_no_obstacle
              • +
            • Submodules
                +
              • pathfinding3d.core.diagonal_movement module
                • +
              • pathfinding3d.core.grid module
                • -
              • pathfinding3d.core.grid module
                  -
                • build_nodes()
                  • -
                • Grid
                    -
                  • Grid.__init__()
                    • -
                  • Grid._validate_dimensions()
                    • -
                  • Grid.is_valid_grid()
                    • -
                  • Grid.node()
                    • -
                  • Grid.inside()
                    • -
                  • Grid.walkable()
                    • -
                  • Grid._calc_cost()
                    • -
                  • Grid.calc_cost()
                    • -
                  • Grid.neighbors()
                    • -
                  • Grid.cleanup()
                    • +
                  • pathfinding3d.core.heap module
                    • +
                  • pathfinding3d.core.heuristic module
                    • -
                  • pathfinding3d.core.heap module
                      -
                    • SimpleHeap
                        -
                      • SimpleHeap.__init__()
                        • -
                      • SimpleHeap._determine_node_retrieval_function()
                        • -
                      • SimpleHeap._determine_node_function()
                        • -
                      • SimpleHeap.pop_node()
                        • -
                      • SimpleHeap.push_node()
                        • -
                      • SimpleHeap.remove_node()
                        • +
                      • pathfinding3d.core.node module
                        • +
                      • pathfinding3d.core.util module
                        • -
                      • pathfinding3d.core.heuristic module -
                        • -
                      • pathfinding3d.core.node module -
                        • -
                      • pathfinding3d.core.util module -
                        • -
                      • pathfinding3d.core.world module
                          -
                        • World @@ -258,122 +182,43 @@

                          Subpackagespathfinding3d.finder package
                            -
                          • Submodules
                            • -
                          • pathfinding3d.finder.a_star module -
                            • -
                          • pathfinding3d.finder.best_first module -
                            • -
                          • pathfinding3d.finder.bi_a_star module -
                            • -
                          • pathfinding3d.finder.breadth_first module -
                            • -
                          • pathfinding3d.finder.dijkstra module
                              -
                            • DijkstraFinder
                                -
                              • DijkstraFinder.__init__()
                                • -
                              • DijkstraFinder.apply_heuristic()
                                • -
                              • DijkstraFinder.check_neighbors()
                                • -
                              • DijkstraFinder.find_neighbors()
                                • -
                              • DijkstraFinder.find_path()
                                • -
                              • DijkstraFinder.keep_running()
                                • -
                              • DijkstraFinder.process_node()
                                • +
                              • Submodules
                                  +
                                • pathfinding3d.finder.a_star module
                                  • +
                                • pathfinding3d.finder.best_first module
                                  • -
                                • pathfinding3d.finder.finder module
                                    -
                                  • ExecutionTimeException
                                      -
                                    • ExecutionTimeException.__init__()
                                      • -
                                    • ExecutionTimeException.args
                                      • -
                                    • ExecutionTimeException.with_traceback()
                                      • +
                                    • pathfinding3d.finder.bi_a_star module
                                      • -
                                    • ExecutionRunsException
                                        -
                                      • ExecutionRunsException.__init__()
                                        • -
                                      • ExecutionRunsException.args
                                        • -
                                      • ExecutionRunsException.with_traceback()
                                        • +
                                      • pathfinding3d.finder.breadth_first module
                                        • -
                                      • Finder
                                          -
                                        • Finder.__init__()
                                          • -
                                        • Finder.apply_heuristic()
                                          • -
                                        • Finder.find_neighbors()
                                          • -
                                        • Finder.keep_running()
                                          • -
                                        • Finder.process_node()
                                          • -
                                        • Finder.check_neighbors()
                                          • -
                                        • Finder.find_path()
                                          • +
                                        • pathfinding3d.finder.dijkstra module
                                          • +
                                        • pathfinding3d.finder.finder module
                                          • -
                                        • pathfinding3d.finder.ida_star module
                                            -
                                          • IDAStarFinder
                                              -
                                            • IDAStarFinder.__init__()
                                              • -
                                            • IDAStarFinder.search()
                                              • -
                                            • IDAStarFinder.apply_heuristic()
                                              • -
                                            • IDAStarFinder.check_neighbors()
                                              • -
                                            • IDAStarFinder.find_neighbors()
                                              • -
                                            • IDAStarFinder.find_path()
                                              • -
                                            • IDAStarFinder.keep_running()
                                              • -
                                            • IDAStarFinder.process_node()
                                              • +
                                            • pathfinding3d.finder.ida_star module
                                              • +
                                            • pathfinding3d.finder.msp module
                                              • -
                                            • pathfinding3d.finder.msp module
                                            • Change Log
                                            • pathfinding3d
                                            • Change Log
                                            • pathfinding3d
                                                diff --git a/searchindex.js b/searchindex.js index e3f5691..465f29c 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["CHANGELOG", "INSTALL", "INTRO", "USAGE", "index", "modules", "pathfinding3d", "pathfinding3d.core", "pathfinding3d.finder"], "filenames": ["CHANGELOG.md", "INSTALL.md", "INTRO.md", "USAGE.md", "index.rst", "modules.rst", "pathfinding3d.rst", "pathfinding3d.core.rst", "pathfinding3d.finder.rst"], "titles": ["Version History", "Installation", "Pathfinding3D", "Examples", "Welcome to pathfinding3d\u2019s documentation!", "pathfinding3d", "pathfinding3d package", "pathfinding3d.core package", "pathfinding3d.finder package"], "terms": {"fix": 0, "bug": 0, "thetastarfind": [0, 3], "algorithm": [0, 2, 3, 7, 8], "when": 0, "us": [0, 2, 3, 4, 7, 8], "world": [0, 3, 5, 6], "connect": [0, 4, 6, 7], "grid": [0, 3, 5, 6, 8], "see": [0, 3, 7, 8], "issu": [0, 8], "12": [0, 3], "theta": [0, 2, 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