



from __future__ import annotations

__snake_case						:Dict      		=     list[tuple[int, int]]

__snake_case						:Union[str, Any]      		=     [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

__snake_case						:str      		=     ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right

class     _A       :



       def __init__(		self							:     List[str]     ,		__SCREAMING_SNAKE_CASE							:     int     ,		__SCREAMING_SNAKE_CASE							:     int     ,		__SCREAMING_SNAKE_CASE							:     int     ,		__SCREAMING_SNAKE_CASE							:     int     ,		__SCREAMING_SNAKE_CASE							:     float     ,		__SCREAMING_SNAKE_CASE							:     Node | None     ,		):


           '''simple docstring'''

           __a						       =				pos_x
           __a						       =				pos_y
           __a						       =				(pos_y, pos_x)
           __a						       =				goal_x
           __a						       =				goal_y
           __a						       =				g_cost
           __a						       =				parent
           __a						       =				self.calculate_heuristic()



       def 		_lowerCamelCase			(		self							:     Union[str, Any]):


           '''simple docstring'''

           __a						       =				abs(self.pos_x - self.goal_x)
           __a						       =				abs(self.pos_y - self.goal_y)
           return dx + dy





       def __lt__(		self							:     List[Any]     ,		__SCREAMING_SNAKE_CASE							:     Union[str, Any]):


           '''simple docstring'''

           return self.f_cost < other.f_cost


class     _A       :



       def __init__(		self							:     str     ,		__SCREAMING_SNAKE_CASE							:     tuple[int, int]     ,		__SCREAMING_SNAKE_CASE							:     tuple[int, int]):


           '''simple docstring'''

           __a						       =				Node(start[1]     ,		start[0]     ,		goal[1]     ,		goal[0]     ,		0     ,		__SCREAMING_SNAKE_CASE)
           __a						       =				Node(goal[1]     ,		goal[0]     ,		goal[1]     ,		goal[0]     ,		99_999     ,		__SCREAMING_SNAKE_CASE)

           __a						       =				[self.start]
           __a						       =				[]

           __a						       =				False



       def 		_lowerCamelCase			(		self							:     Tuple):


           '''simple docstring'''

           while self.open_nodes:
               # Open Nodes are sorted using __lt__
               self.open_nodes.sort()
               __a						       =				self.open_nodes.pop(0)

               if current_node.pos == self.target.pos:
                   __a						       =				True
                   return self.retrace_path(__SCREAMING_SNAKE_CASE)

               self.closed_nodes.append(__SCREAMING_SNAKE_CASE)
               __a						       =				self.get_successors(__SCREAMING_SNAKE_CASE)

               for child_node in successors:
                   if child_node in self.closed_nodes:
                       continue

                   if child_node not in self.open_nodes:
                       self.open_nodes.append(__SCREAMING_SNAKE_CASE)
                   else:
                       # retrieve the best current path
                       __a						       =				self.open_nodes.pop(self.open_nodes.index(__SCREAMING_SNAKE_CASE))

                       if child_node.g_cost < better_node.g_cost:
                           self.open_nodes.append(__SCREAMING_SNAKE_CASE)
                       else:
                           self.open_nodes.append(__SCREAMING_SNAKE_CASE)

           if not self.reached:
               return [self.start.pos]
           return None



       def 		_lowerCamelCase			(		self							:     str     ,		__SCREAMING_SNAKE_CASE							:     Node):


           '''simple docstring'''

           __a						       =				[]
           for action in delta:
               __a						       =				parent.pos_x + action[1]
               __a						       =				parent.pos_y + action[0]

               if not (0 <= pos_x <= len(grid[0]) - 1 and 0 <= pos_y <= len(__SCREAMING_SNAKE_CASE) - 1):
                   continue

               if grid[pos_y][pos_x] != 0:
                   continue

               successors.append(
                   Node(
                       __SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE     ,		self.target.pos_y     ,		self.target.pos_x     ,		parent.g_cost + 1     ,		__SCREAMING_SNAKE_CASE     ,		))
           return successors





       def 		_lowerCamelCase			(		self							:     List[str]     ,		__SCREAMING_SNAKE_CASE							:     Node | None):


           '''simple docstring'''

           __a						       =				node
           __a						       =				[]
           while current_node is not None:
               path.append((current_node.pos_y, current_node.pos_x))
               __a						       =				current_node.parent
           path.reverse()
           return path


if __name__ == "__main__":
 __snake_case						:List[str]      		=     (0, 0)
 __snake_case						:Any      		=     (len(grid) - 1, len(grid[0]) - 1)
 for elem in grid:
  print(elem)

 print('''------''')

 __snake_case						:int      		=     GreedyBestFirst(init, goal)
 __snake_case						:List[str]      		=     greedy_bf.search()
 if path:
  for pos_x, pos_y in path:
   __snake_case						:Optional[Any]      		=     2

  for elem in grid:
   print(elem)













import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowercase  							=					logging.get_logger(__name__)




class  UpperCamelCase_      (			snake_case_				):



	'''simple docstring'''




	def __init__(       self       ,			*a       ,			**a					)       ->    None:
								warnings.warn(
								    'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
								    ' Please use PerceiverImageProcessor instead.'       ,			a       ,			)
								super().__init__(*a       ,			**a					)





