"""simple docstring"""




from __future__ import annotations

import time

_a   :	List[Any] 					=     list[tuple[int, int]]

_a   :	str 					=     [
    [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],
]

_a   :	Dict 					=     [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right
class 		__A							:






					def __init__(	self       ,  a__       ,  a__       ,  a__       ,  a__       ,  a__						):
							_lowerCAmelCase		: List[str]						    =  pos_x
							_lowerCAmelCase		: int						    =  pos_y
							_lowerCAmelCase		: Tuple						    =  (pos_y, pos_x)
							_lowerCAmelCase		: Union[str, Any]						    =  goal_x
							_lowerCAmelCase		: Optional[Any]						    =  goal_y
							_lowerCAmelCase		: List[str]						    =  parent







class 		__A							:






					def __init__(	self       ,  a__       ,  a__						):
							_lowerCAmelCase		: int						    =  Node(start[1]       ,  start[0]       ,  goal[1]       ,  goal[0]       ,  __UpperCamelCase						)
							_lowerCAmelCase		: Dict						    =  Node(goal[1]       ,  goal[0]       ,  goal[1]       ,  goal[0]       ,  __UpperCamelCase						)

							_lowerCAmelCase		: Dict						    =  [self.start]
							_lowerCAmelCase		: Optional[Any]						    =  False






					def 					__A						(	self						):
							while self.node_queue:
									_lowerCAmelCase		: int						    =  self.node_queue.pop(0						)

									if current_node.pos == self.target.pos:
											_lowerCAmelCase		: Optional[Any]						    =  True
											return self.retrace_path(__UpperCamelCase						)

									_lowerCAmelCase		: Tuple						    =  self.get_successors(__UpperCamelCase						)

									for node in successors:
											self.node_queue.append(__UpperCamelCase						)

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






					def 					__A						(	self       ,  a__						):
							_lowerCAmelCase		: List[Any]						    =  []
							for action in delta:
									_lowerCAmelCase		: Union[str, Any]						    =  parent.pos_x + action[1]
									_lowerCAmelCase		: 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       ,  __UpperCamelCase						)						)
							return successors






					def 					__A						(	self       ,  a__						):
							_lowerCAmelCase		: List[str]						    =  node
							_lowerCAmelCase		: Optional[Any]						    =  []
							while current_node is not None:
									path.append((current_node.pos_y, current_node.pos_x)						)
									_lowerCAmelCase		: Any						    =  current_node.parent
							path.reverse()
							return path







class 		__A							:






					def __init__(	self       ,  a__       ,  a__						):
							_lowerCAmelCase		: Any						    =  BreadthFirstSearch(__UpperCamelCase       ,  __UpperCamelCase						)
							_lowerCAmelCase		: Optional[int]						    =  BreadthFirstSearch(__UpperCamelCase       ,  __UpperCamelCase						)
							_lowerCAmelCase		: Any						    =  False






					def 					__A						(	self						):
							while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
									_lowerCAmelCase		: List[Any]						    =  self.fwd_bfs.node_queue.pop(0						)
									_lowerCAmelCase		: str						    =  self.bwd_bfs.node_queue.pop(0						)

									if current_bwd_node.pos == current_fwd_node.pos:
											_lowerCAmelCase		: List[Any]						    =  True
											return self.retrace_bidirectional_path(
											    __UpperCamelCase       ,  __UpperCamelCase						)

									_lowerCAmelCase		: Optional[Any]						    =  current_bwd_node
									_lowerCAmelCase		: List[Any]						    =  current_fwd_node

									_lowerCAmelCase		: List[str]						    =  {
									    self.fwd_bfs: self.fwd_bfs.get_successors(__UpperCamelCase						),
									    self.bwd_bfs: self.bwd_bfs.get_successors(__UpperCamelCase						),
									}

									for bfs in [self.fwd_bfs, self.bwd_bfs]:
											for node in successors[bfs]:
													bfs.node_queue.append(__UpperCamelCase						)

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






					def 					__A						(	self       ,  a__       ,  a__						):
							_lowerCAmelCase		: List[Any]						    =  self.fwd_bfs.retrace_path(__UpperCamelCase						)
							_lowerCAmelCase		: List[str]						    =  self.bwd_bfs.retrace_path(__UpperCamelCase						)
							bwd_path.pop()
							bwd_path.reverse()
							_lowerCAmelCase		: Tuple						    =  fwd_path + bwd_path
							return path


if __name__ == "__main__":
					# all coordinates are given in format [y,x]
					import doctest

					doctest.testmod()
					_a   :	Tuple 					=     (0, 0)
					_a   :	Optional[int] 					=     (len(grid) - 1, len(grid[0]) - 1)
					for elem in grid:
										print(elem)

					_a   :	int 					=     time.time()
					_a   :	List[str] 					=     BreadthFirstSearch(init, goal)
					_a   :	Dict 					=     bfs.search()
					_a   :	List[Any] 					=     time.time() - start_bfs_time

					print('Unidirectional BFS computation time : ', bfs_time)

					_a   :	Tuple 					=     time.time()
					_a   :	Union[str, Any] 					=     BidirectionalBreadthFirstSearch(init, goal)
					_a   :	int 					=     bd_bfs.search()
					_a   :	int 					=     time.time() - start_bd_bfs_time

					print('Bidirectional BFS computation time : ', bd_bfs_time)





"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


_a   :	Union[str, Any] 					=     {}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _a   :	Tuple 					=     ['GPTSw3Tokenizer']


if TYPE_CHECKING:
     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_gpt_swa import GPTSwaTokenizer

else:
     import sys

     _a   :	Optional[int] 					=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




