


import torch
import torch.nn as nn
from transformers.modeling_utils import ModuleUtilsMixin
from transformers.models.ta.modeling_ta import TaBlock, TaConfig, TaLayerNorm

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin


class 					lowerCAmelCase_ (       _a			,_a			,_a):




						@register_to_config
						def __init__(	self						:   Optional[int]   ,     __A						:   int   ,     __A						:   int   ,     __A						:   int   ,     __A						:   float   ,     __A						:   int   ,     __A						:   int   ,     __A						:   int   ,     __A						:   int   ,     __A						:   str   ,     __A						:   bool = False   ,     )      ->List[Any]:






									"""simple docstring"""






									super().__init__()

									a__ :Tuple						  =    nn.Embedding(__A   ,     __A						)

									a__ :Union[str, Any]						  =    nn.Embedding(__A   ,     __A						)
									a__ :str						  =    False

									a__ :int						  =    nn.Dropout(p=__A						)

									a__ :Union[str, Any]						  =    TaConfig(
									    vocab_size=__A   ,     d_model=__A   ,     num_heads=__A   ,     d_kv=__A   ,     d_ff=__A   ,     dropout_rate=__A   ,     feed_forward_proj=__A   ,     is_decoder=__A   ,     is_encoder_decoder=__A   ,     )

									a__ :Union[str, Any]						  =    nn.ModuleList()
									for lyr_num in range(__A						):
												a__ :int						  =    TaBlock(__A						)
												self.encoders.append(__A						)

									a__ :Optional[int]						  =    TaLayerNorm(__A						)
									a__ :int						  =    nn.Dropout(p=__A						)






						def  _snake_case					(	self						:   str   ,     __A						:   Optional[Any]   ,     __A						:   int						)      ->Dict:






									"""simple docstring"""






									a__ :int						  =    self.token_embedder(__A						)

									a__ :List[Any]						  =    encoder_input_tokens.shape[1]
									a__ :Union[str, Any]						  =    torch.arange(__A   ,     device=encoder_input_tokens.device						)
									x += self.position_encoding(__A						)

									a__ :Dict						  =    self.dropout_pre(__A						)

									# inverted the attention mask
									a__ :Optional[Any]						  =    encoder_input_tokens.size()
									a__ :int						  =    self.get_extended_attention_mask(__A   ,     __A						)

									for lyr in self.encoders:
												a__ :List[str]						  =    lyr(__A   ,     __A						)[0]
									a__ :int						  =    self.layer_norm(__A						)

									return self.dropout_post(__A						), encoder_inputs_mask






class 					lowerCAmelCase_ :




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






									"""simple docstring"""






									a__ :Tuple						  =    {}




						def  _snake_case					(	self						:   Tuple						)      ->None:






									"""simple docstring"""






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




						def  _snake_case					(	self						:   Optional[int]   ,     __A						:   int   ,     __A						:   int						)      ->None:






									"""simple docstring"""






									if from_vertex in self.vertex:
												self.vertex[from_vertex].append(__A						)
									else:
												# else make a new vertex
												a__ :Any						  =    [to_vertex]




						def  _snake_case					(	self						:   Optional[int]						)      ->None:






									"""simple docstring"""






									a__ :List[Any]						  =    [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  _snake_case					(	self						:   Union[str, Any]   ,     __A						:   int   ,     __A						:   list						)      ->None:






									"""simple docstring"""






									a__ :Dict						  =    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__":
		snake_case__			 =						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


