
"""simple docstring"""



from __future__ import annotations

_snake_case          =						list[tuple[int, int]]

_snake_case          =						[
    [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          =						([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right
class        _SCREAMING_SNAKE_CASE  :






				'''simple docstring'''



				def __init__(					self	:			List[str]				,     UpperCAmelCase_	:			List[str]				,     UpperCAmelCase_	:			List[str]				,     UpperCAmelCase_	:			Optional[int]				,     UpperCAmelCase_	:			List[str]				,     UpperCAmelCase_	:			int				,     UpperCAmelCase_	:			Union[str, Any]				,     )		->  int:







											"""simple docstring"""




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


				def 				__lowerCamelCase	(					self	:			Optional[Any]  )		->  float:







											"""simple docstring"""




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







				def __lt__(					self	:			Optional[Any]				,     UpperCAmelCase_	:			List[Any]  )		->  bool:







											"""simple docstring"""




											return self.f_cost < other.f_cost






class        _SCREAMING_SNAKE_CASE  :






				'''simple docstring'''



				def __init__(					self	:			int				,     UpperCAmelCase_	:			str				,     UpperCAmelCase_	:			int  )		->  Optional[int]:







											"""simple docstring"""




											_lowerCAmelCase  	=			Node(start[1]				,     start[0]				,     goal[1]				,     goal[0]				,     0				,     UpperCAmelCase_  )
											_lowerCAmelCase  	=			Node(goal[1]				,     goal[0]				,     goal[1]				,     goal[0]				,     99_999				,     UpperCAmelCase_  )

											_lowerCAmelCase  	=			[self.start]
											_lowerCAmelCase  	=			[]

											_lowerCAmelCase  	=			False


				def 				__lowerCamelCase	(					self	:			List[str]  )		->  Path | None:







											"""simple docstring"""




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

																		if current_node.pos == self.target.pos:
																									_lowerCAmelCase  	=			True
																									return self.retrace_path(UpperCAmelCase_  )

																		self.closed_nodes.append(UpperCAmelCase_  )
																		_lowerCAmelCase  	=			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  	=			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 				__lowerCamelCase	(					self	:			Dict				,     UpperCAmelCase_	:			List[Any]  )		->  list[Node]:







											"""simple docstring"""




											_lowerCAmelCase  	=			[]
											for action in delta:
																		_lowerCAmelCase  	=			parent.pos_x + action[1]
																		_lowerCAmelCase  	=			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 				__lowerCamelCase	(					self	:			List[Any]				,     UpperCAmelCase_	:			Optional[Any]  )		->  Path:







											"""simple docstring"""




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


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

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

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

														for elem in grid:
																					print(elem)








"""simple docstring"""



from ...configuration_utils import PretrainedConfig
from ...utils import logging


_snake_case          =						logging.get_logger(__name__)

_snake_case          =						{
    '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json''',
}
class        _SCREAMING_SNAKE_CASE  (  UpperCAmelCase							):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE_:							Dict							=					"gpt_neox_japanese"


				def __init__(					self	:			Optional[Any]				,     UpperCAmelCase_	:			Any=32_000				,     UpperCAmelCase_	:			Dict=2_560				,     UpperCAmelCase_	:			Union[str, Any]=32				,     UpperCAmelCase_	:			Any=32				,     UpperCAmelCase_	:			Optional[Any]=4				,     UpperCAmelCase_	:			int="gelu"				,     UpperCAmelCase_	:			Union[str, Any]=1.00				,     UpperCAmelCase_	:			Any=10_000				,     UpperCAmelCase_	:			Optional[int]=2_048				,     UpperCAmelCase_	:			Optional[Any]=0.02				,     UpperCAmelCase_	:			Tuple=1E-5				,     UpperCAmelCase_	:			int=True				,     UpperCAmelCase_	:			Tuple=31_996				,     UpperCAmelCase_	:			List[Any]=31_999				,     UpperCAmelCase_	:			str=0.1				,     UpperCAmelCase_	:			List[Any]=0.0				,     **UpperCAmelCase_	:			str				,     )		->  int:







											"""simple docstring"""




											super().__init__(bos_token_id=UpperCAmelCase_				,     eos_token_id=UpperCAmelCase_				,     **UpperCAmelCase_  )
											_lowerCAmelCase  	=			vocab_size
											_lowerCAmelCase  	=			max_position_embeddings
											_lowerCAmelCase  	=			hidden_size
											_lowerCAmelCase  	=			num_hidden_layers
											_lowerCAmelCase  	=			num_attention_heads
											_lowerCAmelCase  	=			intermediate_multiple_size
											_lowerCAmelCase  	=			hidden_act
											_lowerCAmelCase  	=			rotary_pct
											_lowerCAmelCase  	=			rotary_emb_base
											_lowerCAmelCase  	=			initializer_range
											_lowerCAmelCase  	=			layer_norm_eps
											_lowerCAmelCase  	=			use_cache
											_lowerCAmelCase  	=			attention_dropout
											_lowerCAmelCase  	=			hidden_dropout






