
"""simple docstring"""





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


_a														=		logging.get_logger(__name__)

_a														=		{
    """weiweishi/roc-bert-base-zh""": """https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json""",
}






class     _UpperCAmelCase(    lowerCamelCase	):
		lowercase__						=      'roc_bert'



		def __init__(					self				,		__a=3_05_22				,		__a=7_68				,		__a=12				,		__a=12				,		__a=30_72				,		__a="gelu"				,		__a=0.1				,		__a=0.1				,		__a=5_12				,		__a=2				,		__a=0.02				,		__a=1e-12				,		__a=True				,		__a=0				,		__a="absolute"				,		__a=None				,		__a=True				,		__a=True				,		__a=7_68				,		__a=9_10				,		__a=5_12				,		__a=2_48_58				,		__a=True				,		**__a				,		)       ->       Optional[int]:






							'''simple docstring'''
							_UpperCamelCase							 =  vocab_size
							_UpperCamelCase							 =  max_position_embeddings
							_UpperCamelCase							 =  hidden_size
							_UpperCamelCase							 =  num_hidden_layers
							_UpperCamelCase							 =  num_attention_heads
							_UpperCamelCase							 =  intermediate_size
							_UpperCamelCase							 =  hidden_act
							_UpperCamelCase							 =  hidden_dropout_prob
							_UpperCamelCase							 =  attention_probs_dropout_prob
							_UpperCamelCase							 =  initializer_range
							_UpperCamelCase							 =  type_vocab_size
							_UpperCamelCase							 =  layer_norm_eps
							_UpperCamelCase							 =  use_cache
							_UpperCamelCase							 =  enable_pronunciation
							_UpperCamelCase							 =  enable_shape
							_UpperCamelCase							 =  pronunciation_embed_dim
							_UpperCamelCase							 =  pronunciation_vocab_size
							_UpperCamelCase							 =  shape_embed_dim
							_UpperCamelCase							 =  shape_vocab_size
							_UpperCamelCase							 =  concat_input
							_UpperCamelCase							 =  position_embedding_type
							_UpperCamelCase							 =  classifier_dropout
							super().__init__(pad_token_id=__a				,		**__a)








"""simple docstring"""





class     _UpperCAmelCase:



		def __init__(					self)       ->       Optional[Any]:






							'''simple docstring'''
							_UpperCamelCase							 =  {}



		def 						UpperCAmelCase							(					self)       ->       None:






							'''simple docstring'''
							print(self.vertex)
							for i in self.vertex:
												print(__a				,		''' -> '''				,		''' -> '''.join([str(__a) for j in self.vertex[i]]))



		def 						UpperCAmelCase							(					self				,		__a				,		__a)       ->       None:






							'''simple docstring'''
							# check if vertex is already present,
							if from_vertex in self.vertex:
												self.vertex[from_vertex].append(__a)
							else:
												# else make a new vertex
												_UpperCamelCase							 =  [to_vertex]



		def 						UpperCAmelCase							(					self)       ->       None:






							'''simple docstring'''
							# visited array for storing already visited nodes
							_UpperCamelCase							 =  [False] * len(self.vertex)

							# call the recursive helper function
							for i in range(len(self.vertex)):
												if not visited[i]:
																	self.dfs_recursive(__a				,		__a)




		def 						UpperCAmelCase							(					self				,		__a				,		__a)       ->       None:






							'''simple docstring'''
							# mark start vertex as visited
							_UpperCamelCase							 =  True

							print(__a				,		end=''' ''')

							# Recur for all the vertices that are adjacent to this node
							for i in self.vertex:
												if not visited[i]:
																	self.dfs_recursive(__a				,		__a)


if __name__ == "__main__":
				_a														=		Graph()
				g.add_edge(0, 1)
				g.add_edge(0, 2)
				g.add_edge(1, 2)
				g.add_edge(2, 0)
				g.add_edge(2, 3)
				g.add_edge(3, 3)

				g.print_graph()
				print("""DFS:""")
				g.dfs()

				# OUTPUT:
				# 0  ->  1 -> 2
				# 1  ->  2
				# 2  ->  0 -> 3
				# 3  ->  3
				# DFS:
				#  0 1 2 3






