


"""simple docstring"""



from typing import Callable, Optional, Union

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


__snake_case         =					logging.get_logger(__name__)

__snake_case         =					{
    """microsoft/xprophetnet-large-wiki100-cased""": (
        """https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json"""
    ),
}







class _lowerCAmelCase       (   snake_case_			):
   __UpperCAmelCase				: List[Any]													=						'''xlm-prophetnet'''
   __UpperCAmelCase				: int													=						['''past_key_values''']
   __UpperCAmelCase				: Optional[int]													=						{
       '''num_attention_heads''': '''num_encoder_attention_heads''',
   }







   def __init__(			self		,			UpperCamelCase__ = 0.1		,			UpperCamelCase__ = "gelu"		,			UpperCamelCase__ = 3_0522		,			UpperCamelCase__ = 1024		,			UpperCamelCase__ = 4096		,			UpperCamelCase__ = 12		,			UpperCamelCase__ = 16		,			UpperCamelCase__ = 4096		,			UpperCamelCase__ = 12		,			UpperCamelCase__ = 16		,			UpperCamelCase__ = 0.1		,			UpperCamelCase__ = 0.1		,			UpperCamelCase__ = 512		,			UpperCamelCase__ = 0.02		,			UpperCamelCase__ = True		,			UpperCamelCase__ = True		,			UpperCamelCase__ = 0		,			UpperCamelCase__ = 2		,			UpperCamelCase__ = 32		,			UpperCamelCase__ = 128		,			UpperCamelCase__ = False		,			UpperCamelCase__ = 0.0		,			UpperCamelCase__ = True		,			UpperCamelCase__ = 0		,			UpperCamelCase__ = 1		,			UpperCamelCase__ = 2		,			**UpperCamelCase__		,			)			->	List[Any]:

       '''simple docstring'''




       snake_case					:   List[str]         =					vocab_size
       snake_case					:   Tuple         =					hidden_size
       snake_case					:   Tuple         =					encoder_ffn_dim
       snake_case					:   int         =					num_encoder_layers
       snake_case					:   Tuple         =					num_encoder_attention_heads
       snake_case					:   int         =					decoder_ffn_dim
       snake_case					:   Optional[int]         =					num_decoder_layers
       snake_case					:   Optional[int]         =					num_decoder_attention_heads
       snake_case					:   Union[str, Any]         =					max_position_embeddings
       snake_case					:   Any         =					init_std  # Normal(0, this parameter)
       snake_case					:   Union[str, Any]         =					activation_function

       # parameters for xlmprophetnet
       snake_case					:   List[Any]         =					ngram
       snake_case					:   List[str]         =					num_buckets
       snake_case					:   Optional[Any]         =					relative_max_distance
       snake_case					:   int         =					disable_ngram_loss
       snake_case					:   Any         =					eps

       # 3 Types of Dropout
       snake_case					:   int         =					attention_dropout
       snake_case					:   List[Any]         =					activation_dropout
       snake_case					:   Dict         =					dropout

       snake_case					:   Optional[int]         =					use_cache

       super().__init__(
           pad_token_id=__A		,			bos_token_id=__A		,			eos_token_id=__A		,			is_encoder_decoder=__A		,			add_cross_attention=__A		,			decoder_start_token_id=__A		,			**__A		,			)







   @property
   def 				lowerCamelCase	(			self		)			->	int:

       '''simple docstring'''




       return self.num_encoder_layers + self.num_decoder_layers







   @num_hidden_layers.setter
   def 				lowerCamelCase	(			self		,			UpperCamelCase__		)			->	int:

       '''simple docstring'''




       raise NotImplementedError(
           "This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"
           " `num_decoder_layers`."		)









"""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 _lowerCAmelCase       :







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

       '''simple docstring'''




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







   def 				lowerCamelCase	(			self		)			->	float:

       '''simple docstring'''




       snake_case					:   Optional[Any]         =					abs(self.pos_x - self.goal_x		)
       snake_case					:   Dict         =					abs(self.pos_y - self.goal_y		)
       return dx + dy







   def __lt__(			self		,			UpperCamelCase__		)			->	bool:

       '''simple docstring'''




       return self.f_cost < other.f_cost







class _lowerCAmelCase       :







   def __init__(			self		,			UpperCamelCase__		,			UpperCamelCase__		)			->	List[Any]:

       '''simple docstring'''




       snake_case					:   int         =					Node(start[1]		,			start[0]		,			goal[1]		,			goal[0]		,			0		,			UpperCamelCase__		)
       snake_case					:   List[Any]         =					Node(goal[1]		,			goal[0]		,			goal[1]		,			goal[0]		,			9_9999		,			UpperCamelCase__		)

       snake_case					:   Tuple         =					[self.start]
       snake_case					:   list[Node]         =					[]

       snake_case					:   Dict         =					False







   def 				lowerCamelCase	(			self		)			->	Path | None:

       '''simple docstring'''




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

           if current_node.pos == self.target.pos:
               snake_case					:   Tuple         =					True
               return self.retrace_path(UpperCamelCase__		)

           self.closed_nodes.append(UpperCamelCase__		)
           snake_case					:   Optional[Any]         =					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
                   snake_case					:   Dict         =					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		,			UpperCamelCase__		)			->	list[Node]:

       '''simple docstring'''




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

       '''simple docstring'''




       snake_case					:   Optional[int]         =					node
       snake_case					:   int         =					[]
       while current_node is not None:
           path.append((current_node.pos_y, current_node.pos_x)		)
           snake_case					:   Any         =					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)





