




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


snake_case_ : List[Any]    		=       logging.get_logger(__name__)

snake_case_ : int    		=       {
    "transfo-xl-wt103": "https://huggingface.co/transfo-xl-wt103/resolve/main/config.json",
}







class __snake_case			(			a		):
   UpperCAmelCase__  :    Optional[int]          =  '''transfo-xl'''
   UpperCAmelCase__  :    Optional[Any]          =  ['''mems''']
   UpperCAmelCase__  :    Optional[Any]          =  {
       '''n_token''': '''vocab_size''',
       '''hidden_size''': '''d_model''',
       '''num_attention_heads''': '''n_head''',
       '''num_hidden_layers''': '''n_layer''',
   }







   def __init__(      self		:						List[str]					,						_snake_case		:						Union[str, Any]=267735					,						_snake_case		:						str=[20000, 40000, 200000]					,						_snake_case		:						List[Any]=1024					,						_snake_case		:						Any=1024					,						_snake_case		:						Optional[Any]=16					,						_snake_case		:						Tuple=64					,						_snake_case		:						Dict=4096					,						_snake_case		:						Optional[int]=4					,						_snake_case		:						Optional[int]=False					,						_snake_case		:						Optional[int]=18					,						_snake_case		:						List[str]=1600					,						_snake_case		:						Any=1000					,						_snake_case		:						Tuple=True					,						_snake_case		:						Optional[Any]=True					,						_snake_case		:						Optional[Any]=0					,						_snake_case		:						List[str]=-1					,						_snake_case		:						str=True					,						_snake_case		:						List[Any]=0.1					,						_snake_case		:						int=0.0					,						_snake_case		:						Optional[int]=True					,						_snake_case		:						Optional[int]="normal"					,						_snake_case		:						Optional[Any]=0.0_1					,						_snake_case		:						Tuple=0.0_1					,						_snake_case		:						Tuple=0.0_2					,						_snake_case		:						Optional[int]=1e-5					,						_snake_case		:						Union[str, Any]=0					,						**_snake_case		:						Optional[Any]					,						):

        """simple docstring"""


        UpperCAmelCase_          =							vocab_size
        UpperCAmelCase_          =							[]
        self.cutoffs.extend(_snake_case)
        if proj_share_all_but_first:
             UpperCAmelCase_          =							[False] + [True] * len(self.cutoffs)
        else:
             UpperCAmelCase_          =							[False] + [False] * len(self.cutoffs)
        UpperCAmelCase_          =							d_model
        UpperCAmelCase_          =							d_embed
        UpperCAmelCase_          =							d_head
        UpperCAmelCase_          =							d_inner
        UpperCAmelCase_          =							div_val
        UpperCAmelCase_          =							pre_lnorm
        UpperCAmelCase_          =							n_layer
        UpperCAmelCase_          =							n_head
        UpperCAmelCase_          =							mem_len
        UpperCAmelCase_          =							same_length
        UpperCAmelCase_          =							attn_type
        UpperCAmelCase_          =							clamp_len
        UpperCAmelCase_          =							sample_softmax
        UpperCAmelCase_          =							adaptive
        UpperCAmelCase_          =							dropout
        UpperCAmelCase_          =							dropatt
        UpperCAmelCase_          =							untie_r
        UpperCAmelCase_          =							init
        UpperCAmelCase_          =							init_range
        UpperCAmelCase_          =							proj_init_std
        UpperCAmelCase_          =							init_std
        UpperCAmelCase_          =							layer_norm_epsilon
        super().__init__(eos_token_id=_snake_case					,						**_snake_case)







   @property
   def lowerCamelCase						(      self		:						Optional[int]):

        """simple docstring"""


        logger.info(F"""The model {self.model_type} is one of the few models that has no sequence length limit.""")
        return -1







   @max_position_embeddings.setter
   def lowerCamelCase						(      self		:						Union[str, Any]					,						_snake_case		:						Dict):

        """simple docstring"""


        raise NotImplementedError(
            F"""The model {self.model_type} is one of the few models that has no sequence length limit.""")












from __future__ import annotations

import time
from math import sqrt

# 1 for manhattan, 0 for euclidean
snake_case_ : str    		=       0

snake_case_ : Union[str, 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],
]

snake_case_ : str    		=       [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

snake_case_ : List[Any]    		=       tuple[int, int]







class __snake_case			:







   def __init__(      self		:						Any					,						_snake_case		:						int					,						_snake_case		:						int					,						_snake_case		:						int					,						_snake_case		:						int					,						_snake_case		:						int					,						_snake_case		:						Node | None					,						):

        """simple docstring"""


        UpperCAmelCase_          =							pos_x
        UpperCAmelCase_          =							pos_y
        UpperCAmelCase_          =							(pos_y, pos_x)
        UpperCAmelCase_          =							goal_x
        UpperCAmelCase_          =							goal_y
        UpperCAmelCase_          =							g_cost
        UpperCAmelCase_          =							parent
        UpperCAmelCase_          =							self.calculate_heuristic()
        UpperCAmelCase_          =							self.g_cost + self.h_cost







   def lowerCamelCase						(      self		:						List[str]):

        """simple docstring"""


        UpperCAmelCase_          =							self.pos_x - self.goal_x
        UpperCAmelCase_          =							self.pos_y - self.goal_y
        if HEURISTIC == 1:
             return abs(_snake_case) + abs(_snake_case)
        else:
             return sqrt(dy**2 + dx**2)







   def __lt__(      self		:						Union[str, Any]					,						_snake_case		:						Node):

        """simple docstring"""


        return self.f_cost < other.f_cost







class __snake_case			:







   def __init__(      self		:						str					,						_snake_case		:						TPosition					,						_snake_case		:						TPosition):

        """simple docstring"""


        UpperCAmelCase_          =							Node(start[1]					,						start[0]					,						goal[1]					,						goal[0]					,						0					,						_snake_case)
        UpperCAmelCase_          =							Node(goal[1]					,						goal[0]					,						goal[1]					,						goal[0]					,						99999					,						_snake_case)

        UpperCAmelCase_          =							[self.start]
        UpperCAmelCase_          =							[]

        UpperCAmelCase_          =							False







   def lowerCamelCase						(      self		:						Optional[int]):

        """simple docstring"""


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

             if current_node.pos == self.target.pos:
                  return self.retrace_path(_snake_case)

             self.closed_nodes.append(_snake_case)
             UpperCAmelCase_          =							self.get_successors(_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(_snake_case)
                  else:
                       # retrieve the best current path
                       UpperCAmelCase_          =							self.open_nodes.pop(self.open_nodes.index(_snake_case))

                       if child_node.g_cost < better_node.g_cost:
                            self.open_nodes.append(_snake_case)
                       else:
                            self.open_nodes.append(_snake_case)

        return [self.start.pos]







   def lowerCamelCase						(      self		:						Tuple					,						_snake_case		:						Node):

        """simple docstring"""


        UpperCAmelCase_          =							[]
        for action in delta:
             UpperCAmelCase_          =							parent.pos_x + action[1]
             UpperCAmelCase_          =							parent.pos_y + action[0]
             if not (0 <= pos_x <= len(grid[0]) - 1 and 0 <= pos_y <= len(_snake_case) - 1):
                  continue

             if grid[pos_y][pos_x] != 0:
                  continue

             successors.append(
                 Node(
                     _snake_case					,						_snake_case					,						self.target.pos_y					,						self.target.pos_x					,						parent.g_cost + 1					,						_snake_case					,						))
        return successors







   def lowerCamelCase						(      self		:						Any					,						_snake_case		:						Node | None):

        """simple docstring"""


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







class __snake_case			:







   def __init__(      self		:						Any					,						_snake_case		:						TPosition					,						_snake_case		:						TPosition):

        """simple docstring"""


        UpperCAmelCase_          =							AStar(_snake_case					,						_snake_case)
        UpperCAmelCase_          =							AStar(_snake_case					,						_snake_case)
        UpperCAmelCase_          =							False







   def lowerCamelCase						(      self		:						List[Any]):

        """simple docstring"""


        while self.fwd_astar.open_nodes or self.bwd_astar.open_nodes:
             self.fwd_astar.open_nodes.sort()
             self.bwd_astar.open_nodes.sort()
             UpperCAmelCase_          =							self.fwd_astar.open_nodes.pop(0)
             UpperCAmelCase_          =							self.bwd_astar.open_nodes.pop(0)

             if current_bwd_node.pos == current_fwd_node.pos:
                  return self.retrace_bidirectional_path(
                      _snake_case					,						_snake_case)

             self.fwd_astar.closed_nodes.append(_snake_case)
             self.bwd_astar.closed_nodes.append(_snake_case)

             UpperCAmelCase_          =							current_bwd_node
             UpperCAmelCase_          =							current_fwd_node

             UpperCAmelCase_          =							{
                 self.fwd_astar: self.fwd_astar.get_successors(_snake_case),
                 self.bwd_astar: self.bwd_astar.get_successors(_snake_case),
             }

             for astar in [self.fwd_astar, self.bwd_astar]:
                  for child_node in successors[astar]:
                       if child_node in astar.closed_nodes:
                            continue

                       if child_node not in astar.open_nodes:
                            astar.open_nodes.append(_snake_case)
                       else:
                            # retrieve the best current path
                            UpperCAmelCase_          =							astar.open_nodes.pop(
                                astar.open_nodes.index(_snake_case))

                            if child_node.g_cost < better_node.g_cost:
                                 astar.open_nodes.append(_snake_case)
                            else:
                                 astar.open_nodes.append(_snake_case)

        return [self.fwd_astar.start.pos]







   def lowerCamelCase						(      self		:						int					,						_snake_case		:						Node					,						_snake_case		:						Node):

        """simple docstring"""


        UpperCAmelCase_          =							self.fwd_astar.retrace_path(_snake_case)
        UpperCAmelCase_          =							self.bwd_astar.retrace_path(_snake_case)
        bwd_path.pop()
        bwd_path.reverse()
        UpperCAmelCase_          =							fwd_path + bwd_path
        return path


if __name__ == "__main__":
    # all coordinates are given in format [y,x]
    snake_case_ : Any    		=       (0, 0)
    snake_case_ : Union[str, Any]    		=       (len(grid) - 1, len(grid[0]) - 1)
    for elem in grid:
        print(elem)

    snake_case_ : str    		=       time.time()
    snake_case_ : List[str]    		=       AStar(init, goal)
    snake_case_ : Optional[int]    		=       a_star.search()
    snake_case_ : Optional[Any]    		=       time.time() - start_time
    print(f"AStar execution time = {end_time:f} seconds")

    snake_case_ : int    		=       time.time()
    snake_case_ : Dict    		=       BidirectionalAStar(init, goal)
    snake_case_ : str    		=       time.time() - bd_start_time
    print(f"BidirectionalAStar execution time = {bd_end_time:f} seconds")






