



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


lowerCAmelCase__       =  logging.get_logger(__name__)

lowerCAmelCase__       =  {
    '''google/canine-s''': '''https://huggingface.co/google/canine-s/resolve/main/config.json''',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}

class       snake_case__(_lowercase			):

					"""simple docstring"""






					lowercase_								=		"""canine"""







					def __init__(							self					:	Optional[int]      ,   SCREAMING_SNAKE_CASE					:	List[Any]=768      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]=12      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]=12      ,   SCREAMING_SNAKE_CASE					:	Optional[int]=3_072      ,   SCREAMING_SNAKE_CASE					:	Optional[int]="gelu"      ,   SCREAMING_SNAKE_CASE					:	List[str]=0.1      ,   SCREAMING_SNAKE_CASE					:	int=0.1      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]=16_384      ,   SCREAMING_SNAKE_CASE					:	List[str]=16      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]=0.02      ,   SCREAMING_SNAKE_CASE					:	Any=1E-1_2      ,   SCREAMING_SNAKE_CASE					:	Optional[int]=0      ,   SCREAMING_SNAKE_CASE					:	List[Any]=0xE_0_0_0      ,   SCREAMING_SNAKE_CASE					:	List[Any]=0xE_0_0_1      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]=4      ,   SCREAMING_SNAKE_CASE					:	int=4      ,   SCREAMING_SNAKE_CASE					:	List[str]=8      ,   SCREAMING_SNAKE_CASE					:	List[str]=16_384      ,   SCREAMING_SNAKE_CASE					:	int=128      ,   **SCREAMING_SNAKE_CASE					:	str      ,   ):
									super().__init__(pad_token_id=UpperCamelCase__      ,   bos_token_id=UpperCamelCase__      ,   eos_token_id=UpperCamelCase__      ,   **UpperCamelCase__     )

									lowercase__     :    Union[str, Any]													=     max_position_embeddings
									lowercase__     :    List[str]													=     hidden_size
									lowercase__     :    Optional[Any]													=     num_hidden_layers
									lowercase__     :    Optional[int]													=     num_attention_heads
									lowercase__     :    Optional[Any]													=     intermediate_size
									lowercase__     :    int													=     hidden_act
									lowercase__     :    Union[str, Any]													=     hidden_dropout_prob
									lowercase__     :    Union[str, Any]													=     attention_probs_dropout_prob
									lowercase__     :    int													=     initializer_range
									lowercase__     :    Any													=     type_vocab_size
									lowercase__     :    Tuple													=     layer_norm_eps

									# Character config:
									lowercase__     :    int													=     downsampling_rate
									lowercase__     :    Tuple													=     upsampling_kernel_size
									lowercase__     :    Any													=     num_hash_functions
									lowercase__     :    Any													=     num_hash_buckets
									lowercase__     :    str													=     local_transformer_stride












'''simple docstring'''







from __future__ import annotations

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

class _lowercase	:




							def __init__(							self:				Tuple			,							UpperCamelCase__:				dict[str, list[str]]			,							UpperCamelCase__:				str     ):
														lowerCamelCase__					:	str         =       graph
														# mapping node to its parent in resulting breadth first tree
														lowerCamelCase__					:	dict[str, str | None]         =       {}
														lowerCamelCase__					:	Any         =       source_vertex




							def 		lowerCamelCase_				(							self:				List[str]     ):
														lowerCamelCase__					:	List[str]         =       {self.source_vertex}
														lowerCamelCase__					:	List[str]         =       None
														lowerCamelCase__					:	Tuple         =       [self.source_vertex]  # first in first out queue

														while queue:
																					lowerCamelCase__					:	Tuple         =       queue.pop(0     )
																					for adjacent_vertex in self.graph[vertex]:
																												if adjacent_vertex not in visited:
																																			visited.add(UpperCamelCase__     )
																																			lowerCamelCase__					:	List[str]         =       vertex
																																			queue.append(UpperCamelCase__     )




							def 		lowerCamelCase_				(							self:				str			,							UpperCamelCase__:				str     ):
														if target_vertex == self.source_vertex:
																					return self.source_vertex

														lowerCamelCase__					:	Tuple         =       self.parent.get(UpperCamelCase__     )
														if target_vertex_parent is None:
																					lowerCamelCase__					:	int         =       (
																					    F'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
																					)
																					raise ValueError(UpperCamelCase__     )

														return self.shortest_path(UpperCamelCase__     ) + F'''->{target_vertex}'''


if __name__ == "__main__":
			_A	:			int         =Graph(graph, '''G''')
			g.breath_first_search()
			print(g.shortest_path('''D'''))
			print(g.shortest_path('''G'''))
			print(g.shortest_path('''Foo'''))

