

'''simple docstring'''





import copy
import os
from typing import Union

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


UpperCamelCase_    						=       logging.get_logger(__name__)

UpperCamelCase_    						=       {
    """BridgeTower/bridgetower-base""": """https://huggingface.co/BridgeTower/bridgetower-base/blob/main/config.json""",
    """BridgeTower/bridgetower-base-itm-mlm""": (
        """https://huggingface.co/BridgeTower/bridgetower-base-itm-mlm/blob/main/config.json"""
    ),
}





class 		__SCREAMING_SNAKE_CASE							(			lowercase__      ):
				lowerCamelCase_		       =    'bridgetower_vision_model'







				def __init__(       self     :		Optional[Any]		,					UpperCAmelCase__     :		Union[str, Any]=768		,					UpperCAmelCase__     :		List[Any]=12		,					UpperCAmelCase__     :		List[Any]=3		,					UpperCAmelCase__     :		Dict=16		,					UpperCAmelCase__     :		Tuple=288		,					UpperCAmelCase__     :		str=1		,					UpperCAmelCase__     :		int=1E-05		,					UpperCAmelCase__     :		Union[str, Any]=False		,					UpperCAmelCase__     :		List[str]=True		,					UpperCAmelCase__     :		List[str]=False		,					**UpperCAmelCase__     :		Dict		,					):
										'''simple docstring'''
										super().__init__(**UpperCAmelCase__   )
										lowercase :							List[str]    		=hidden_size
										lowercase :							Optional[Any]    		=num_hidden_layers
										lowercase :							Dict    		=num_channels
										lowercase :							Optional[int]    		=patch_size
										lowercase :							Union[str, Any]    		=image_size
										lowercase :							Optional[int]    		=initializer_factor
										lowercase :							List[Any]    		=layer_norm_eps
										lowercase :							Dict    		=stop_gradient
										lowercase :							int    		=share_layernorm
										lowercase :							Any    		=remove_last_layer







				@classmethod
				def  lowerCamelCase_	(       cls     :		Optional[Any]		,					UpperCAmelCase__     :		Union[str, os.PathLike]		,					**UpperCAmelCase__     :		List[str]   ):
										'''simple docstring'''
										lowercase		,	lowercase :							Tuple    		=cls.get_config_dict(UpperCAmelCase__		,					**UpperCAmelCase__   )

										if config_dict.get('''model_type'''   ) == "bridgetower":
																lowercase :							Dict    		=config_dict['''text_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(UpperCAmelCase__		,					**UpperCAmelCase__   )





class 		__SCREAMING_SNAKE_CASE							(			lowercase__      ):
				lowerCamelCase_		       =    'bridgetower_text_model'







				def __init__(       self     :		Any		,					UpperCAmelCase__     :		Tuple=50265		,					UpperCAmelCase__     :		List[Any]=768		,					UpperCAmelCase__     :		Optional[int]=12		,					UpperCAmelCase__     :		int=12		,					UpperCAmelCase__     :		str=1		,					UpperCAmelCase__     :		List[Any]=3072		,					UpperCAmelCase__     :		Optional[Any]="gelu"		,					UpperCAmelCase__     :		int=0.1		,					UpperCAmelCase__     :		Tuple=0.1		,					UpperCAmelCase__     :		Union[str, Any]=514		,					UpperCAmelCase__     :		int=1		,					UpperCAmelCase__     :		Optional[int]=1E-05		,					UpperCAmelCase__     :		List[str]=1		,					UpperCAmelCase__     :		Tuple=0		,					UpperCAmelCase__     :		str=2		,					UpperCAmelCase__     :		Union[str, Any]="absolute"		,					UpperCAmelCase__     :		Dict=True		,					**UpperCAmelCase__     :		List[Any]		,					):
										'''simple docstring'''
										super().__init__(**UpperCAmelCase__   )

										lowercase :							str    		=vocab_size
										lowercase :							Union[str, Any]    		=hidden_size
										lowercase :							int    		=num_hidden_layers
										lowercase :							Dict    		=num_attention_heads
										lowercase :							Dict    		=hidden_act
										lowercase :							Tuple    		=initializer_factor
										lowercase :							str    		=intermediate_size
										lowercase :							Optional[int]    		=hidden_dropout_prob
										lowercase :							Dict    		=attention_probs_dropout_prob
										lowercase :							Any    		=max_position_embeddings
										lowercase :							List[str]    		=type_vocab_size
										lowercase :							Any    		=layer_norm_eps
										lowercase :							Optional[int]    		=position_embedding_type
										lowercase :							Optional[Any]    		=use_cache
										lowercase :							List[str]    		=pad_token_id
										lowercase :							Optional[Any]    		=bos_token_id
										lowercase :							Union[str, Any]    		=eos_token_id







				@classmethod
				def  lowerCamelCase_	(       cls     :		Union[str, Any]		,					UpperCAmelCase__     :		Union[str, os.PathLike]		,					**UpperCAmelCase__     :		Any   ):
										'''simple docstring'''
										lowercase		,	lowercase :							Union[str, Any]    		=cls.get_config_dict(UpperCAmelCase__		,					**UpperCAmelCase__   )

										if config_dict.get('''model_type'''   ) == "bridgetower":
																lowercase :							int    		=config_dict['''text_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(UpperCAmelCase__		,					**UpperCAmelCase__   )





class 		__SCREAMING_SNAKE_CASE							(			lowercase__      ):
				lowerCamelCase_		       =    'bridgetower'







				def __init__(       self     :		Dict		,					UpperCAmelCase__     :		str=True		,					UpperCAmelCase__     :		str="gelu"		,					UpperCAmelCase__     :		Any=768		,					UpperCAmelCase__     :		List[Any]=1		,					UpperCAmelCase__     :		str=1E-05		,					UpperCAmelCase__     :		List[str]=False		,					UpperCAmelCase__     :		List[str]="add"		,					UpperCAmelCase__     :		str=12		,					UpperCAmelCase__     :		Any=6		,					UpperCAmelCase__     :		Optional[int]=False		,					UpperCAmelCase__     :		Dict=False		,					UpperCAmelCase__     :		str=None		,					UpperCAmelCase__     :		Dict=None		,					**UpperCAmelCase__     :		Tuple		,					):
										'''simple docstring'''
										# TODO: remove this once the Hub files are updated.
										lowercase :							List[str]    		=kwargs.pop('''text_config_dict'''		,					UpperCAmelCase__   )
										lowercase :							Tuple    		=kwargs.pop('''vision_config_dict'''		,					UpperCAmelCase__   )

										super().__init__(**UpperCAmelCase__   )
										lowercase :							Optional[Any]    		=share_cross_modal_transformer_layers
										lowercase :							Optional[Any]    		=hidden_act
										lowercase :							Dict    		=hidden_size
										lowercase :							Optional[int]    		=initializer_factor
										lowercase :							Optional[Any]    		=layer_norm_eps
										lowercase :							Tuple    		=share_link_tower_layers
										lowercase :							Optional[Any]    		=link_tower_type
										lowercase :							Dict    		=num_attention_heads
										lowercase :							List[Any]    		=num_hidden_layers
										lowercase :							Dict    		=tie_word_embeddings
										lowercase :							Any    		=init_layernorm_from_vision_encoder

										if text_config is None:
																lowercase :							List[str]    		={}
																logger.info('''`text_config` is `None`. Initializing the `BridgeTowerTextConfig` with default values.'''   )

										if vision_config is None:
																lowercase :							List[str]    		={}
																logger.info('''`vision_config` is `None`. Initializing the `BridgeTowerVisionConfig` with default values.'''   )

										lowercase :							Optional[int]    		=BridgeTowerTextConfig(**UpperCAmelCase__   )
										lowercase :							List[str]    		=BridgeTowerVisionConfig(**UpperCAmelCase__   )







				@classmethod
				def  lowerCamelCase_	(       cls     :		List[Any]		,					UpperCAmelCase__     :		BridgeTowerTextConfig		,					UpperCAmelCase__     :		BridgeTowerVisionConfig		,					**UpperCAmelCase__     :		List[Any]   ):
										'''simple docstring'''
										return cls(text_config=text_config.to_dict()		,					vision_config=vision_config.to_dict()		,					**UpperCAmelCase__   )







				def  lowerCamelCase_	(       self     :		str   ):
										'''simple docstring'''
										lowercase :							List[Any]    		=copy.deepcopy(self.__dict__   )
										lowercase :							int    		=self.text_config.to_dict()
										lowercase :							Tuple    		=self.vision_config.to_dict()
										lowercase :							int    		=self.__class__.model_type
										return output












'''simple docstring'''




from __future__ import annotations

a__					:			Optional[int]          =     list[tuple[int, int]]

a__					:			List[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__					:			Optional[int]          =     ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right






class 				__snake_case     :





	def __init__(		self      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       )      ->		Any:
		snake_case__	       =   pos_x
		snake_case__	       =   pos_y
		snake_case__	       =   (pos_y, pos_x)
		snake_case__	       =   goal_x
		snake_case__	       =   goal_y
		snake_case__	       =   g_cost
		snake_case__	       =   parent
		snake_case__	       =   self.calculate_heuristic()





	def   _snake_case   (		self		)      ->		float:
		snake_case__	       =   abs(self.pos_x - self.goal_x		)
		snake_case__	       =   abs(self.pos_y - self.goal_y		)
		return dx + dy





	def __lt__(		self      ,       UpperCamelCase_		)      ->		bool:
		return self.f_cost < other.f_cost






class 				__snake_case     :





	def __init__(		self      ,       UpperCamelCase_      ,       UpperCamelCase_		)      ->		Any:
		snake_case__	       =   Node(start[1]      ,       start[0]      ,       goal[1]      ,       goal[0]      ,       0      ,       UpperCamelCase_		)
		snake_case__	       =   Node(goal[1]      ,       goal[0]      ,       goal[1]      ,       goal[0]      ,       9_9999      ,       UpperCamelCase_		)

		snake_case__	       =   [self.start]
		snake_case__	       =   []

		snake_case__	       =   False





	def   _snake_case   (		self		)      ->		Path | None:
		while self.open_nodes:
			# Open Nodes are sorted using __lt__
			self.open_nodes.sort()
			snake_case__	       =   self.open_nodes.pop(0		)

			if current_node.pos == self.target.pos:
				snake_case__	       =   True
				return self.retrace_path(UpperCamelCase_		)

			self.closed_nodes.append(UpperCamelCase_		)
			snake_case__	       =   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__	       =   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   _snake_case   (		self      ,       UpperCamelCase_		)      ->		list[Node]:
		snake_case__	       =   []
		for action in delta:
			snake_case__	       =   parent.pos_x + action[1]
			snake_case__	       =   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   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Path:
		snake_case__	       =   node
		snake_case__	       =   []
		while current_node is not None:
			path.append((current_node.pos_y, current_node.pos_x)		)
			snake_case__	       =   current_node.parent
		path.reverse()
		return path


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

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

			a__					:			Optional[int]          =     GreedyBestFirst(init, goal)
			a__					:			Optional[int]          =     greedy_bf.search()
			if path:
						for pos_x, pos_y in path:
									a__					:			Tuple          =     2

						for elem in grid:
									print(elem)



