




from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


UpperCamelCase								=	{
    'susnato/ernie-m-base_pytorch': 'https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json',
    'susnato/ernie-m-large_pytorch': 'https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json',
}





class 					__lowerCamelCase			(       UpperCamelCase__       ):




    """simple docstring"""

    snake_case__   = "ernie_m"
    snake_case__   = {"dropout": "classifier_dropout", "num_classes": "num_labels"}


    def __init__(			self	:	Any  ,      SCREAMING_SNAKE_CASE__	:	int = 250_002  ,      SCREAMING_SNAKE_CASE__	:	int = 768  ,      SCREAMING_SNAKE_CASE__	:	int = 12  ,      SCREAMING_SNAKE_CASE__	:	int = 12  ,      SCREAMING_SNAKE_CASE__	:	int = 3_072  ,      SCREAMING_SNAKE_CASE__	:	str = "gelu"  ,      SCREAMING_SNAKE_CASE__	:	float = 0.1  ,      SCREAMING_SNAKE_CASE__	:	float = 0.1  ,      SCREAMING_SNAKE_CASE__	:	int = 514  ,      SCREAMING_SNAKE_CASE__	:	float = 0.02  ,      SCREAMING_SNAKE_CASE__	:	int = 1  ,      SCREAMING_SNAKE_CASE__	:	float = 1e-0_5  ,      SCREAMING_SNAKE_CASE__	:	List[str]=None  ,      SCREAMING_SNAKE_CASE__	:	int=False  ,      SCREAMING_SNAKE_CASE__	:	str=0.0  ,      **SCREAMING_SNAKE_CASE__	:	List[Any]  ,      ) ->			int:
         super().__init__(pad_token_id=SCREAMING_SNAKE_CASE__  ,      **SCREAMING_SNAKE_CASE__  )
         lowerCAmelCase__            =					vocab_size
         lowerCAmelCase__            =					hidden_size
         lowerCAmelCase__            =					num_hidden_layers
         lowerCAmelCase__            =					num_attention_heads
         lowerCAmelCase__            =					intermediate_size
         lowerCAmelCase__            =					hidden_act
         lowerCAmelCase__            =					hidden_dropout_prob
         lowerCAmelCase__            =					attention_probs_dropout_prob
         lowerCAmelCase__            =					max_position_embeddings
         lowerCAmelCase__            =					initializer_range
         lowerCAmelCase__            =					layer_norm_eps
         lowerCAmelCase__            =					classifier_dropout
         lowerCAmelCase__            =					is_decoder
         lowerCAmelCase__            =					act_dropout




class 	__lowercase					:





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






         """simple docstring"""







         UpperCAmelCase      					=  {}





      def 							_lowercase					(		self    :       str							)     -> None:






         """simple docstring"""







         print(self.vertex							)
         for i in self.vertex:
            print(__lowerCamelCase       ,							""" -> """       ,							""" -> """.join([str(__lowerCamelCase							) for j in self.vertex[i]]							)							)





      def 							_lowercase					(		self    :       Optional[Any]       ,							__lowerCamelCase    :       int       ,							__lowerCamelCase    :       int							)     -> None:






         """simple docstring"""







         if from_vertex in self.vertex:
            self.vertex[from_vertex].append(__lowerCamelCase							)
         else:
            # else make a new vertex
            UpperCAmelCase      					=  [to_vertex]





      def 							_lowercase					(		self    :       str							)     -> None:






         """simple docstring"""







         UpperCAmelCase      					=  [False] * len(self.vertex							)

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





      def 							_lowercase					(		self    :       Optional[int]       ,							__lowerCamelCase    :       int       ,							__lowerCamelCase    :       list							)     -> None:






         """simple docstring"""







         UpperCAmelCase      					=  True

         print(__lowerCamelCase       ,							end=""" """							)

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


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



