

import copy
import os
from typing import Union

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


a_     =			logging.get_logger(__name__)

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






class _UpperCamelCase							(							__A      ):
			'''simple docstring'''







			lowerCamelCase__							='git_vision_model'
			def __init__(	self							:       Dict					,					a							:       Optional[Any]=768					,					a							:       Union[str, Any]=3072					,					a							:       Tuple=12					,					a							:       int=12					,					a							:       List[str]=3					,					a							:       str=224					,					a							:       List[str]=16					,					a							:       List[Any]="quick_gelu"					,					a							:       Any=1e-5					,					a							:       str=0.0					,					a							:       Optional[int]=0.02					,					**a							:       Optional[int]					,					)							->				Any:

				"""simple docstring"""

				super().__init__(**a		)

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






			@classmethod
			def 							__UpperCamelCase       (	cls							:       int					,					a							:       Union[str, os.PathLike]					,					**a							:       Union[str, Any]		)							->				"PretrainedConfig":

				"""simple docstring"""

				cls._set_token_in_kwargs(a		)

				SCREAMING_SNAKE_CASE   ,SCREAMING_SNAKE_CASE      :					int    =				cls.get_config_dict(a					,					**a		)

				# get the vision config dict if we are loading from GITConfig
				if config_dict.get("model_type"		) == "git":
					SCREAMING_SNAKE_CASE      :					Dict    =				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(a					,					**a		)






class _UpperCamelCase							(							__A      ):
			'''simple docstring'''







			lowerCamelCase__							='git'
			def __init__(	self							:       Optional[Any]					,					a							:       Optional[Any]=None					,					a							:       str=3_0522					,					a							:       Dict=768					,					a							:       int=6					,					a							:       Optional[int]=12					,					a							:       List[str]=3072					,					a							:       int="gelu"					,					a							:       List[str]=0.1					,					a							:       int=0.1					,					a							:       List[Any]=1024					,					a							:       Union[str, Any]=0.02					,					a							:       Dict=1e-12					,					a							:       Any=0					,					a							:       Any="absolute"					,					a							:       List[Any]=True					,					a							:       Optional[Any]=False					,					a							:       Any=101					,					a							:       Union[str, Any]=102					,					a							:       Optional[Any]=None					,					**a							:       Any					,					)							->				str:

				"""simple docstring"""

				super().__init__(bos_token_id=a					,					eos_token_id=a					,					pad_token_id=a					,					**a		)

				if vision_config is None:
					SCREAMING_SNAKE_CASE      :					Any    =				{}
					logger.info("vision_config is None. initializing the GitVisionConfig with default values."		)

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

				SCREAMING_SNAKE_CASE      :					int    =				bos_token_id
				SCREAMING_SNAKE_CASE      :					Any    =				eos_token_id






			def 							__UpperCamelCase       (	self							:       Dict		)							->				List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE      :					Tuple    =				copy.deepcopy(self.__dict__		)
				SCREAMING_SNAKE_CASE      :					Tuple    =				self.vision_config.to_dict()
				SCREAMING_SNAKE_CASE      :					Tuple    =				self.__class__.model_type
				return output



__lowerCAmelCase		       =							{
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}




def    snake_case_     (  snake_case			,							snake_case			,							snake_case     )  ->				list[str]:
       lowercase__:   int  			=   set()
       # keep track of all the paths to be checked
       lowercase__:   Optional[int]  			=   [[start]]

       # return path if start is goal
       if start == goal:
              return [start]

       # keeps looping until all possible paths have been checked
       while queue:
              # pop the first path from the queue
              lowercase__:   List[Any]  			=   queue.pop(0     )
              # get the last node from the path
              lowercase__:   Optional[int]  			=   path[-1]
              if node not in explored:
                     lowercase__:   Optional[Any]  			=   graph[node]
                     # go through all neighbour nodes, construct a new path and
                     # push it into the queue
                     for neighbour in neighbours:
                            lowercase__:   Tuple  			=   list(snake_case     )
                            new_path.append(snake_case     )
                            queue.append(snake_case     )
                            # return path if neighbour is goal
                            if neighbour == goal:
                                   return new_path

            # mark node as explored
                     explored.add(snake_case     )

    # in case there's no path between the 2 nodes
       return []




def    snake_case_     (  snake_case			,							snake_case			,							snake_case     )  ->				int:
       if not graph or start not in graph or target not in graph:
              return -1
       if start == target:
              return 0
       lowercase__:   Tuple  			=   [start]
       lowercase__:   List[Any]  			=   set(snake_case     )
       # Keep tab on distances from `start` node.
       lowercase__:   Tuple  			=   {start: 0, target: -1}
       while queue:
              lowercase__:   Dict  			=   queue.pop(0     )
              if node == target:
                     lowercase__:   str  			=   (
                         dist[node] if dist[target] == -1 else min(dist[target]			,							dist[node]     )
                     )
              for adjacent in graph[node]:
                     if adjacent not in visited:
                            visited.add(snake_case     )
                            queue.append(snake_case     )
                            lowercase__:   List[str]  			=   dist[node] + 1
       return dist[target]


if __name__ == "__main__":
 print(bfs_shortest_path(demo_graph, '''G''', '''D'''))  # returns ['G', 'C', 'A', 'B', 'D']
 print(bfs_shortest_path_distance(demo_graph, '''G''', '''D'''))  # returns 4


