


'''simple docstring'''







from __future__ import annotations

import time

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

A__:    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],
]

A__:    Union[str, Any]					    =       [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right







class A__       :






      def __init__( self			:Union[str, Any]     ,						SCREAMING_SNAKE_CASE			:int     ,						SCREAMING_SNAKE_CASE			:int     ,						SCREAMING_SNAKE_CASE			:int     ,						SCREAMING_SNAKE_CASE			:int     ,						SCREAMING_SNAKE_CASE			:Node | None	)       ->					Tuple:




             '''simple docstring'''
             _a    : Optional[Any]     					=pos_x
             _a    : Dict     					=pos_y
             _a    : List[str]     					=(pos_y, pos_x)
             _a    : Optional[Any]     					=goal_x
             _a    : Any     					=goal_y
             _a    : List[Any]     					=parent







class A__       :






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




             '''simple docstring'''
             _a    : Union[str, Any]     					=Node(start[1]     ,						start[0]     ,						goal[1]     ,						goal[0]     ,						SCREAMING_SNAKE_CASE	)
             _a    : Dict     					=Node(goal[1]     ,						goal[0]     ,						goal[1]     ,						goal[0]     ,						SCREAMING_SNAKE_CASE	)

             _a    : Any     					=[self.start]
             _a    : Union[str, Any]     					=False






      def __UpperCAmelCase       ( self			:Dict	)       ->					Path | None:




             '''simple docstring'''
             while self.node_queue:
                    _a    : List[Any]     					=self.node_queue.pop(0	)

                    if current_node.pos == self.target.pos:
                           _a    : Optional[int]     					=True
                           return self.retrace_path(SCREAMING_SNAKE_CASE	)

                    _a    : str     					=self.get_successors(SCREAMING_SNAKE_CASE	)

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

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






      def __UpperCAmelCase       ( self			:str     ,						SCREAMING_SNAKE_CASE			:Node	)       ->					list[Node]:




             '''simple docstring'''
             _a    : Optional[Any]     					=[]
             for action in delta:
                    _a    : int     					=parent.pos_x + action[1]
                    _a    : Optional[int]     					=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     ,						SCREAMING_SNAKE_CASE	)	)
             return successors






      def __UpperCAmelCase       ( self			:Dict     ,						SCREAMING_SNAKE_CASE			:Node | None	)       ->					Path:




             '''simple docstring'''
             _a    : List[Any]     					=node
             _a    : List[str]     					=[]
             while current_node is not None:
                    path.append((current_node.pos_y, current_node.pos_x)	)
                    _a    : List[Any]     					=current_node.parent
             path.reverse()
             return path







class A__       :






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




             '''simple docstring'''
             _a    : Union[str, Any]     					=BreadthFirstSearch(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE	)
             _a    : List[str]     					=BreadthFirstSearch(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE	)
             _a    : str     					=False






      def __UpperCAmelCase       ( self			:Any	)       ->					Path | None:




             '''simple docstring'''
             while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
                    _a    : List[Any]     					=self.fwd_bfs.node_queue.pop(0	)
                    _a    : Optional[int]     					=self.bwd_bfs.node_queue.pop(0	)

                    if current_bwd_node.pos == current_fwd_node.pos:
                           _a    : Dict     					=True
                           return self.retrace_bidirectional_path(
                               SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE	)

                    _a    : List[str]     					=current_bwd_node
                    _a    : List[Any]     					=current_fwd_node

                    _a    : Optional[int]     					={
                        self.fwd_bfs: self.fwd_bfs.get_successors(SCREAMING_SNAKE_CASE	),
                        self.bwd_bfs: self.bwd_bfs.get_successors(SCREAMING_SNAKE_CASE	),
                    }

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

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






      def __UpperCAmelCase       ( self			:List[Any]     ,						SCREAMING_SNAKE_CASE			:Node     ,						SCREAMING_SNAKE_CASE			:Node	)       ->					Path:




             '''simple docstring'''
             _a    : Tuple     					=self.fwd_bfs.retrace_path(SCREAMING_SNAKE_CASE	)
             _a    : int     					=self.bwd_bfs.retrace_path(SCREAMING_SNAKE_CASE	)
             bwd_path.pop()
             bwd_path.reverse()
             _a    : Union[str, Any]     					=fwd_path + bwd_path
             return path


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

   doctest.testmod()
   A__:    List[str]					    =       (0, 0)
   A__:    List[str]					    =       (len(grid) - 1, len(grid[0]) - 1)
   for elem in grid:
      print(elem)

   A__:    Optional[Any]					    =       time.time()
   A__:    List[str]					    =       BreadthFirstSearch(init, goal)
   A__:    Optional[Any]					    =       bfs.search()
   A__:    Tuple					    =       time.time() - start_bfs_time

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

   A__:    int					    =       time.time()
   A__:    List[str]					    =       BidirectionalBreadthFirstSearch(init, goal)
   A__:    Dict					    =       bd_bfs.search()
   A__:    Optional[Any]					    =       time.time() - start_bd_bfs_time

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






'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A__:    List[str]					    =       logging.get_logger(__name__)

A__:    Union[str, Any]					    =       {
    '''facebook/data2vec-text-base''': '''https://huggingface.co/data2vec/resolve/main/config.json''',
}







class A__       (						UpperCAmelCase__      ):
      __UpperCamelCase       :  int	       =							"data2vec-text"






      def __init__( self			:str     ,						SCREAMING_SNAKE_CASE			:Optional[Any]=3_0_5_2_2     ,						SCREAMING_SNAKE_CASE			:Any=7_6_8     ,						SCREAMING_SNAKE_CASE			:List[Any]=1_2     ,						SCREAMING_SNAKE_CASE			:List[str]=1_2     ,						SCREAMING_SNAKE_CASE			:Dict=3_0_7_2     ,						SCREAMING_SNAKE_CASE			:List[str]="gelu"     ,						SCREAMING_SNAKE_CASE			:Any=0.1     ,						SCREAMING_SNAKE_CASE			:List[str]=0.1     ,						SCREAMING_SNAKE_CASE			:int=5_1_2     ,						SCREAMING_SNAKE_CASE			:int=2     ,						SCREAMING_SNAKE_CASE			:Union[str, Any]=0.02     ,						SCREAMING_SNAKE_CASE			:Dict=1e-12     ,						SCREAMING_SNAKE_CASE			:int=1     ,						SCREAMING_SNAKE_CASE			:Dict=0     ,						SCREAMING_SNAKE_CASE			:List[Any]=2     ,						SCREAMING_SNAKE_CASE			:str="absolute"     ,						SCREAMING_SNAKE_CASE			:Tuple=True     ,						SCREAMING_SNAKE_CASE			:Union[str, Any]=None     ,						**SCREAMING_SNAKE_CASE			:Union[str, Any]     ,						)       ->					List[str]:




             '''simple docstring'''
             super().__init__(pad_token_id=SCREAMING_SNAKE_CASE     ,						bos_token_id=SCREAMING_SNAKE_CASE     ,						eos_token_id=SCREAMING_SNAKE_CASE     ,						**SCREAMING_SNAKE_CASE	)

             _a    : Optional[Any]     					=vocab_size
             _a    : Optional[Any]     					=hidden_size
             _a    : Any     					=num_hidden_layers
             _a    : List[str]     					=num_attention_heads
             _a    : Union[str, Any]     					=hidden_act
             _a    : Any     					=intermediate_size
             _a    : str     					=hidden_dropout_prob
             _a    : Optional[Any]     					=attention_probs_dropout_prob
             _a    : Optional[Any]     					=max_position_embeddings
             _a    : Union[str, Any]     					=type_vocab_size
             _a    : Tuple     					=initializer_range
             _a    : Optional[int]     					=layer_norm_eps
             _a    : Tuple     					=position_embedding_type
             _a    : int     					=use_cache
             _a    : List[str]     					=classifier_dropout







class A__       (						UpperCAmelCase__      ):






      @property
      def __UpperCAmelCase       ( self			:int	)       ->					Mapping[str, Mapping[int, str]]:




             '''simple docstring'''
             if self.task == "multiple-choice":
                    _a    : Tuple     					={0: """batch""", 1: """choice""", 2: """sequence"""}
             else:
                    _a    : List[Any]     					={0: """batch""", 1: """sequence"""}
             return OrderedDict(
                 [
                     ("""input_ids""", dynamic_axis),
                     ("""attention_mask""", dynamic_axis),
                 ]	)


