






"""simple docstring"""
import copy
import os
from typing import Union

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


lowerCamelCase_       			=   logging.get_logger(__name__)

lowerCamelCase_       			=   {
    '''microsoft/git-base''': '''https://huggingface.co/microsoft/git-base/resolve/main/config.json''',
}







class     UpperCamelCase_ (__A  ):
	__magic_name__			   =       '''git_vision_model'''





	def __init__(   self      :				str			,			lowerCAmelCase_      :				Optional[int]=768			,			lowerCAmelCase_      :				Tuple=3_072			,			lowerCAmelCase_      :				Optional[int]=12			,			lowerCAmelCase_      :				Any=12			,			lowerCAmelCase_      :				Tuple=3			,			lowerCAmelCase_      :				List[Any]=224			,			lowerCAmelCase_      :				Any=16			,			lowerCAmelCase_      :				Union[str, Any]="quick_gelu"			,			lowerCAmelCase_      :				Optional[int]=1e-5			,			lowerCAmelCase_      :				str=0.0			,			lowerCAmelCase_      :				Optional[int]=0.0_2			,			**lowerCAmelCase_      :				int			,			)		->    Any:
				super().__init__(**lowerCAmelCase_		)

				UpperCAmelCase_  :				Dict      =      hidden_size
				UpperCAmelCase_  :				Any      =      intermediate_size
				UpperCAmelCase_  :				Dict      =      num_hidden_layers
				UpperCAmelCase_  :				Union[str, Any]      =      num_attention_heads
				UpperCAmelCase_  :				Optional[Any]      =      num_channels
				UpperCAmelCase_  :				List[Any]      =      patch_size
				UpperCAmelCase_  :				Union[str, Any]      =      image_size
				UpperCAmelCase_  :				Any      =      initializer_range
				UpperCAmelCase_  :				List[str]      =      attention_dropout
				UpperCAmelCase_  :				Union[str, Any]      =      layer_norm_eps
				UpperCAmelCase_  :				Dict      =      hidden_act





	@classmethod
	def   _SCREAMING_SNAKE_CASE   (   cls      :				Any			,			lowerCAmelCase_      :				Union[str, os.PathLike]			,			**lowerCAmelCase_      :				Any		)		->    "PretrainedConfig":
				cls._set_token_in_kwargs(lowerCAmelCase_		)

				UpperCAmelCase_  ,			UpperCAmelCase_  :				Optional[int]      =      cls.get_config_dict(lowerCAmelCase_			,			**lowerCAmelCase_		)

				# get the vision config dict if we are loading from GITConfig
				if config_dict.get("model_type"		) == "git":
							UpperCAmelCase_  :				Any      =      config_dict["vision_config"]

				if "model_type" in config_dict and hasattr(cls			,			"model_type"		) and config_dict["model_type"] != cls.model_type:
							logger.warning(
							    f"""You are using a model of type {config_dict['model_type']} to instantiate a model of type """
							    f"""{cls.model_type}. This is not supported for all configurations of models and can yield errors."""		)

				return cls.from_dict(lowerCAmelCase_			,			**lowerCAmelCase_		)







class     UpperCamelCase_ (__A  ):
	__magic_name__			   =       '''git'''





	def __init__(   self      :				Any			,			lowerCAmelCase_      :				Optional[Any]=None			,			lowerCAmelCase_      :				Tuple=30_522			,			lowerCAmelCase_      :				Optional[int]=768			,			lowerCAmelCase_      :				List[str]=6			,			lowerCAmelCase_      :				Optional[Any]=12			,			lowerCAmelCase_      :				List[str]=3_072			,			lowerCAmelCase_      :				Optional[int]="gelu"			,			lowerCAmelCase_      :				Optional[int]=0.1			,			lowerCAmelCase_      :				str=0.1			,			lowerCAmelCase_      :				Optional[Any]=1_024			,			lowerCAmelCase_      :				int=0.0_2			,			lowerCAmelCase_      :				List[Any]=1e-12			,			lowerCAmelCase_      :				Optional[Any]=0			,			lowerCAmelCase_      :				List[str]="absolute"			,			lowerCAmelCase_      :				Optional[Any]=True			,			lowerCAmelCase_      :				Union[str, Any]=False			,			lowerCAmelCase_      :				Optional[int]=101			,			lowerCAmelCase_      :				Tuple=102			,			lowerCAmelCase_      :				str=None			,			**lowerCAmelCase_      :				Dict			,			)		->    Tuple:
				super().__init__(bos_token_id=lowerCAmelCase_			,			eos_token_id=lowerCAmelCase_			,			pad_token_id=lowerCAmelCase_			,			**lowerCAmelCase_		)

				if vision_config is None:
							UpperCAmelCase_  :				Optional[int]      =      {}
							logger.info("vision_config is None. initializing the GitVisionConfig with default values."		)

				UpperCAmelCase_  :				Union[str, Any]      =      GitVisionConfig(**lowerCAmelCase_		)
				UpperCAmelCase_  :				int      =      vocab_size
				UpperCAmelCase_  :				List[str]      =      hidden_size
				UpperCAmelCase_  :				Dict      =      num_hidden_layers
				UpperCAmelCase_  :				Tuple      =      num_attention_heads
				UpperCAmelCase_  :				Tuple      =      hidden_act
				UpperCAmelCase_  :				Optional[Any]      =      intermediate_size
				UpperCAmelCase_  :				List[str]      =      hidden_dropout_prob
				UpperCAmelCase_  :				Union[str, Any]      =      attention_probs_dropout_prob
				UpperCAmelCase_  :				int      =      max_position_embeddings
				UpperCAmelCase_  :				List[str]      =      initializer_range
				UpperCAmelCase_  :				Any      =      layer_norm_eps
				UpperCAmelCase_  :				Any      =      position_embedding_type
				UpperCAmelCase_  :				Optional[int]      =      use_cache
				UpperCAmelCase_  :				Union[str, Any]      =      tie_word_embeddings
				UpperCAmelCase_  :				Union[str, Any]      =      num_image_with_embedding

				UpperCAmelCase_  :				Optional[int]      =      bos_token_id
				UpperCAmelCase_  :				Dict      =      eos_token_id





	def   _SCREAMING_SNAKE_CASE   (   self      :				Tuple		)		->    List[str]:
				UpperCAmelCase_  :				Dict      =      copy.deepcopy(self.__dict__		)
				UpperCAmelCase_  :				Dict      =      self.vision_config.to_dict()
				UpperCAmelCase_  :				Tuple      =      self.__class__.model_type
				return output











"""simple docstring"""
from __future__ import annotations

import time

lowerCamelCase_       			=   list[tuple[int, int]]

lowerCamelCase_       			=   [
    [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],
]

lowerCamelCase_       			=   [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right







class     UpperCamelCase_ :





	def __init__(   self      :				int			,			lowerCAmelCase_      :				int			,			lowerCAmelCase_      :				int			,			lowerCAmelCase_      :				int			,			lowerCAmelCase_      :				int			,			lowerCAmelCase_      :				Node | None		)		->    List[str]:
				UpperCAmelCase_  :				List[Any]      =      pos_x
				UpperCAmelCase_  :				Dict      =      pos_y
				UpperCAmelCase_  :				List[Any]      =      (pos_y, pos_x)
				UpperCAmelCase_  :				int      =      goal_x
				UpperCAmelCase_  :				int      =      goal_y
				UpperCAmelCase_  :				Union[str, Any]      =      parent







class     UpperCamelCase_ :





	def __init__(   self      :				Dict			,			lowerCAmelCase_      :				tuple[int, int]			,			lowerCAmelCase_      :				tuple[int, int]		)		->    int:
				UpperCAmelCase_  :				Dict      =      Node(start[1]			,			start[0]			,			goal[1]			,			goal[0]			,			lowerCAmelCase_		)
				UpperCAmelCase_  :				List[str]      =      Node(goal[1]			,			goal[0]			,			goal[1]			,			goal[0]			,			lowerCAmelCase_		)

				UpperCAmelCase_  :				List[str]      =      [self.start]
				UpperCAmelCase_  :				List[Any]      =      False





	def   _SCREAMING_SNAKE_CASE   (   self      :				int		)		->    Path | None:
				while self.node_queue:
							UpperCAmelCase_  :				Optional[int]      =      self.node_queue.pop(0		)

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

							UpperCAmelCase_  :				Union[str, Any]      =      self.get_successors(lowerCAmelCase_		)

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

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





	def   _SCREAMING_SNAKE_CASE   (   self      :				Tuple			,			lowerCAmelCase_      :				Node		)		->    list[Node]:
				UpperCAmelCase_  :				Union[str, Any]      =      []
				for action in delta:
							UpperCAmelCase_  :				Optional[Any]      =      parent.pos_x + action[1]
							UpperCAmelCase_  :				Tuple      =      parent.pos_y + action[0]
							if not (0 <= pos_x <= len(grid[0]		) - 1 and 0 <= pos_y <= len(lowerCAmelCase_		) - 1):
										continue

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

							successors.append(
							    Node(lowerCAmelCase_			,			lowerCAmelCase_			,			self.target.pos_y			,			self.target.pos_x			,			lowerCAmelCase_		)		)
				return successors





	def   _SCREAMING_SNAKE_CASE   (   self      :				Union[str, Any]			,			lowerCAmelCase_      :				Node | None		)		->    Path:
				UpperCAmelCase_  :				Any      =      node
				UpperCAmelCase_  :				Any      =      []
				while current_node is not None:
							path.append((current_node.pos_y, current_node.pos_x)		)
							UpperCAmelCase_  :				int      =      current_node.parent
				path.reverse()
				return path







class     UpperCamelCase_ :





	def __init__(   self      :				str			,			lowerCAmelCase_      :				int			,			lowerCAmelCase_      :				Tuple		)		->    Tuple:
				UpperCAmelCase_  :				Union[str, Any]      =      BreadthFirstSearch(lowerCAmelCase_			,			lowerCAmelCase_		)
				UpperCAmelCase_  :				Any      =      BreadthFirstSearch(lowerCAmelCase_			,			lowerCAmelCase_		)
				UpperCAmelCase_  :				Any      =      False





	def   _SCREAMING_SNAKE_CASE   (   self      :				List[Any]		)		->    Path | None:
				while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
							UpperCAmelCase_  :				List[Any]      =      self.fwd_bfs.node_queue.pop(0		)
							UpperCAmelCase_  :				Tuple      =      self.bwd_bfs.node_queue.pop(0		)

							if current_bwd_node.pos == current_fwd_node.pos:
										UpperCAmelCase_  :				Optional[int]      =      True
										return self.retrace_bidirectional_path(
										    lowerCAmelCase_			,			lowerCAmelCase_		)

							UpperCAmelCase_  :				Any      =      current_bwd_node
							UpperCAmelCase_  :				Optional[int]      =      current_fwd_node

							UpperCAmelCase_  :				Any      =      {
							    self.fwd_bfs: self.fwd_bfs.get_successors(lowerCAmelCase_		),
							    self.bwd_bfs: self.bwd_bfs.get_successors(lowerCAmelCase_		),
							}

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

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





	def   _SCREAMING_SNAKE_CASE   (   self      :				int			,			lowerCAmelCase_      :				Node			,			lowerCAmelCase_      :				Node		)		->    Path:
				UpperCAmelCase_  :				Tuple      =      self.fwd_bfs.retrace_path(lowerCAmelCase_		)
				UpperCAmelCase_  :				str      =      self.bwd_bfs.retrace_path(lowerCAmelCase_		)
				bwd_path.pop()
				bwd_path.reverse()
				UpperCAmelCase_  :				int      =      fwd_path + bwd_path
				return path


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

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

			lowerCamelCase_       			=   time.time()
			lowerCamelCase_       			=   BreadthFirstSearch(init, goal)
			lowerCamelCase_       			=   bfs.search()
			lowerCamelCase_       			=   time.time() - start_bfs_time

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

			lowerCamelCase_       			=   time.time()
			lowerCamelCase_       			=   BidirectionalBreadthFirstSearch(init, goal)
			lowerCamelCase_       			=   bd_bfs.search()
			lowerCamelCase_       			=   time.time() - start_bd_bfs_time

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



