
'''simple docstring'''




from __future__ import annotations

lowercase			:				Optional[Any]    		=			list[tuple[int, int]]

lowercase			:				Optional[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],
]

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





class  A				:





     def __init__(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE						,			) ->				Optional[Any]:






         """simple docstring"""






         A       :   str					=						pos_x
         A       :   List[Any]					=						pos_y
         A       :   Union[str, Any]					=						(pos_y, pos_x)
         A       :   Tuple					=						goal_x
         A       :   Dict					=						goal_y
         A       :   Optional[int]					=						g_cost
         A       :   Union[str, Any]					=						parent
         A       :   Union[str, Any]					=						self.calculate_heuristic()





     def 				__lowerCAmelCase							(							self	) ->				float:






         """simple docstring"""






         A       :   List[Any]					=						abs(self.pos_x - self.goal_x	)
         A       :   str					=						abs(self.pos_y - self.goal_y	)
         return dx + dy





     def __lt__(							self						,			SCREAMING_SNAKE_CASE	) ->				bool:






         """simple docstring"""






         return self.f_cost < other.f_cost





class  A				:





     def __init__(							self						,			SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE	) ->				str:






         """simple docstring"""






         A       :   int					=						Node(start[1]						,			start[0]						,			goal[1]						,			goal[0]						,			0						,			SCREAMING_SNAKE_CASE	)
         A       :   str					=						Node(goal[1]						,			goal[0]						,			goal[1]						,			goal[0]						,			99999						,			SCREAMING_SNAKE_CASE	)

         A       :   List[Any]					=						[self.start]
         A       :   list[Node]					=						[]

         A       :   List[Any]					=						False





     def 				__lowerCAmelCase							(							self	) ->				Path | None:






         """simple docstring"""






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

             if current_node.pos == self.target.pos:
                 A       :   List[Any]					=						True
                 return self.retrace_path(SCREAMING_SNAKE_CASE	)

             self.closed_nodes.append(SCREAMING_SNAKE_CASE	)
             A       :   Tuple					=						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       :   Optional[int]					=						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						,			SCREAMING_SNAKE_CASE	) ->				list[Node]:






         """simple docstring"""






         A       :   Union[str, Any]					=						[]
         for action in delta:
             A       :   Union[str, Any]					=						parent.pos_x + action[1]
             A       :   str					=						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						,			SCREAMING_SNAKE_CASE	) ->				Path:






         """simple docstring"""






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


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

      print('------')

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

            for elem in grid:
                  print(elem)






'''simple docstring'''




from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest





@require_tokenizers
class  A				(							__snake_case						):
     __magic_name__						=		DistilBertTokenizer
     __magic_name__						=		DistilBertTokenizerFast
     __magic_name__						=		True





     @slow
     def 				__lowerCAmelCase							(							self	) ->				Any:






         """simple docstring"""






         A       :   List[Any]					=						DistilBertTokenizer.from_pretrained('''distilbert-base-uncased'''	)

         A       :   Dict					=						tokenizer.encode('''sequence builders'''						,			add_special_tokens=SCREAMING_SNAKE_CASE	)
         A       :   List[str]					=						tokenizer.encode('''multi-sequence build'''						,			add_special_tokens=SCREAMING_SNAKE_CASE	)

         A       :   Optional[Any]					=						tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE	)
         A       :   Tuple					=						tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE						,			SCREAMING_SNAKE_CASE	)

         assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
         assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
             tokenizer.sep_token_id
         ]




