




from __future__ import annotations

lowerCAmelCase_					    = list[tuple[int, int]]

lowerCAmelCase_					    = [
    [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],
]

lowerCAmelCase_					    = ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right






class  _lowerCAmelCase     :

      def __init__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				):
        lowerCAmelCase__				:  Union[str, Any]		       =     pos_x
        lowerCAmelCase__				:  Dict		       =     pos_y
        lowerCAmelCase__				:  Any		       =     (pos_y, pos_x)
        lowerCAmelCase__				:  Optional[Any]		       =     goal_x
        lowerCAmelCase__				:  Any		       =     goal_y
        lowerCAmelCase__				:  Optional[int]		       =     g_cost
        lowerCAmelCase__				:  Any		       =     parent
        lowerCAmelCase__				:  int		       =     self.calculate_heuristic()

      def 	__magic_name__(   self		):
        lowerCAmelCase__				:  Union[str, Any]		       =     abs(self.pos_x - self.goal_x		)
        lowerCAmelCase__				:  Tuple		       =     abs(self.pos_y - self.goal_y		)
        return dx + dy




      def __lt__(   self      ,				__UpperCAmelCase		):
        return self.f_cost < other.f_cost






class  _lowerCAmelCase     :

      def __init__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Dict		       =     Node(start[1]      ,				start[0]      ,				goal[1]      ,				goal[0]      ,				0      ,				__UpperCAmelCase		)
        lowerCAmelCase__				:  Tuple		       =     Node(goal[1]      ,				goal[0]      ,				goal[1]      ,				goal[0]      ,				9_9999      ,				__UpperCAmelCase		)

        lowerCAmelCase__				:  Optional[int]		       =     [self.start]
        lowerCAmelCase__				:  Dict		       =     []

        lowerCAmelCase__				:  int		       =     False

      def 	__magic_name__(   self		):
        while self.open_nodes:
          # Open Nodes are sorted using __lt__
          self.open_nodes.sort()
          lowerCAmelCase__				:  Union[str, Any]		       =     self.open_nodes.pop(0		)

          if current_node.pos == self.target.pos:
            lowerCAmelCase__				:  str		       =     True
            return self.retrace_path(__UpperCAmelCase		)

          self.closed_nodes.append(__UpperCAmelCase		)
          lowerCAmelCase__				:  List[str]		       =     self.get_successors(__UpperCAmelCase		)

          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(__UpperCAmelCase		)
            else:
              # retrieve the best current path
              lowerCAmelCase__				:  List[Any]		       =     self.open_nodes.pop(self.open_nodes.index(__UpperCAmelCase		)		)

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

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

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Any		       =     []
        for action in delta:
          lowerCAmelCase__				:  Any		       =     parent.pos_x + action[1]
          lowerCAmelCase__				:  List[Any]		       =     parent.pos_y + action[0]

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

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

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




      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Optional[Any]		       =     node
        lowerCAmelCase__				:  List[Any]		       =     []
        while current_node is not None:
          path.append((current_node.pos_y, current_node.pos_x)		)
          lowerCAmelCase__				:  Union[str, Any]		       =     current_node.parent
        path.reverse()
        return path


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

     print("""------""")

     lowerCAmelCase_					    = GreedyBestFirst(init, goal)
     lowerCAmelCase_					    = greedy_bf.search()
     if path:
          for pos_x, pos_y in path:
               lowerCAmelCase_					    = 2

          for elem in grid:
               print(elem)







import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


lowerCAmelCase_					    = logging.get_logger(__name__)






class  _lowerCAmelCase     (  _lowercase	):

      def __init__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        warnings.warn(
            '''The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
            ''' use OwlViTImageProcessor instead.'''      ,				__UpperCAmelCase      ,				)
        super().__init__(*__UpperCAmelCase      ,				**__UpperCAmelCase		)

