





import numpy as np

class  __A:

     def __init__(      self      ):





            """simple docstring"""

            _UpperCamelCase              =						(0, 0)
            _UpperCamelCase              =						None
            _UpperCamelCase              =						0
            _UpperCamelCase              =						0
            _UpperCamelCase              =						0

     def __eq__(      self,       A      ):





            """simple docstring"""

            return self.position == cell.position



     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            print(self.position      )






class  __A:

     def __init__(      self,       A=(5, 5)      ):





            """simple docstring"""

            _UpperCamelCase              =						np.zeros(_a      )
            _UpperCamelCase              =						world_size[0]
            _UpperCamelCase              =						world_size[1]

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            print(self.w      )



     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						[
                (-1, -1),
                (-1, 0),
                (-1, 1),
                (0, -1),
                (0, 1),
                (1, -1),
                (1, 0),
                (1, 1),
            ]
            _UpperCamelCase              =						cell.position[0]
            _UpperCamelCase              =						cell.position[1]
            _UpperCamelCase              =						[]
            for n in neughbour_cord:
                   _UpperCamelCase              =						current_x + n[0]
                   _UpperCamelCase              =						current_y + n[1]
                   if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
                          _UpperCamelCase              =						Cell()
                          _UpperCamelCase              =						(x, y)
                          _UpperCamelCase              =						cell
                          neighbours.append(_a      )
            return neighbours






def     SCREAMING_SNAKE_CASE			(      lowerCAmelCase    ,       lowerCAmelCase    ,       lowerCAmelCase					):
       _UpperCamelCase              =						[]
       _UpperCamelCase              =						[]
       _open.append(__lowerCAmelCase					)

       while _open:
              _UpperCamelCase              =						np.argmin([n.f for n in _open]					)
              _UpperCamelCase              =						_open[min_f]
              _closed.append(_open.pop(__lowerCAmelCase					)					)
              if current == goal:
                     break
              for n in world.get_neigbours(__lowerCAmelCase					):
                     for c in _closed:
                            if c == n:
                                   continue
                     _UpperCamelCase              =						current.g + 1
                     _UpperCamelCase              =						n.position
                     _UpperCamelCase              =						goal.position
                     _UpperCamelCase              =						(ya - ya) ** 2 + (xa - xa) ** 2
                     _UpperCamelCase              =						n.h + n.g

                     for c in _open:
                            if c == n and c.f < n.f:
                                   continue
                     _open.append(__lowerCAmelCase					)
       _UpperCamelCase              =						[]
       while current.parent is not None:
              path.append(current.position					)
              _UpperCamelCase              =						current.parent
       path.append(current.position					)
       return path[::-1]


if __name__ == "__main__":
 lowercase    : Optional[Any]    	=  Gridworld()
 # Start position and goal
 lowercase    : str    	=  Cell()
 lowercase    : Union[str, Any]    	=  (0, 0)
 lowercase    : Dict    	=  Cell()
 lowercase    : str    	=  (4, 4)
 print(F'''path from {start.position} to {goal.position}''')
 lowercase    : List[str]    	=  astar(world, start, goal)
 #   Just for visual reasons.
 for i in s:
  lowercase    : str    	=  1
 print(world.w)













from __future__ import annotations

lowercase    : int    	=  {
    """A""": ["""B""", """C""", """E"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F""", """G"""],
    """D""": ["""B"""],
    """E""": ["""A""", """B""", """D"""],
    """F""": ["""C"""],
    """G""": ["""C"""],
}

class  __A:

     def __init__(      self,       A,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						graph
            # mapping node to its parent in resulting breadth first tree
            _UpperCamelCase              =						{}
            _UpperCamelCase              =						source_vertex

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						{self.source_vertex}
            _UpperCamelCase              =						None
            _UpperCamelCase              =						[self.source_vertex]  # first in first out queue

            while queue:
                   _UpperCamelCase              =						queue.pop(0      )
                   for adjacent_vertex in self.graph[vertex]:
                          if adjacent_vertex not in visited:
                                 visited.add(A      )
                                 _UpperCamelCase              =						vertex
                                 queue.append(A      )



     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            if target_vertex == self.source_vertex:
                   return self.source_vertex

            _UpperCamelCase              =						self.parent.get(A      )
            if target_vertex_parent is None:
                   _UpperCamelCase              =						(
                       F'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
                   )
                   raise ValueError(A      )

            return self.shortest_path(A      ) + F'''->{target_vertex}'''


if __name__ == "__main__":
       lowercase    : Tuple    	=  Graph(graph, """G""")
       g.breath_first_search()
       print(g.shortest_path("""D"""))
       print(g.shortest_path("""G"""))
       print(g.shortest_path("""Foo"""))






