






"""simple docstring"""







import copy
import random

from transformers import CLIPTokenizer







class        _SCREAMING_SNAKE_CASE						(  __snake_case							):





							"""simple docstring"""





							def __init__(   self:     Any				,		*__A:     Any				,		**__A:     Dict    ):

												'''simple docstring'''

												super().__init__(*__A				,		**__A    )
												a__          =  {}




							def  lowercase		(   self:     Optional[Any]				,		__A:     List[Any]				,		*__A:     Tuple				,		**__A:     Optional[Any]    ):

												'''simple docstring'''

												a__          =  super().add_tokens(__A				,		*__A				,		**__A    )
												if num_added_tokens == 0:
																	raise ValueError(
																	    F'The tokenizer already contains the token {placeholder_token}. Please pass a different'
																	    ''' `placeholder_token` that is not already in the tokenizer.'''    )




							def  lowercase		(   self:     Tuple				,		__A:     List[Any]				,		*__A:     List[Any]				,		__A:     int=1				,		**__A:     List[str]    ):

												'''simple docstring'''

												a__          =  []
												if num_vec_per_token == 1:
																	self.try_adding_tokens(__A				,		*__A				,		**__A    )
																	output.append(__A    )
												else:
																	a__          =  []
																	for i in range(__A    ):
																						a__          =  placeholder_token + F'_{i}'
																						self.try_adding_tokens(__A				,		*__A				,		**__A    )
																						output.append(__A    )
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
												for token in self.token_map:
																	if token in placeholder_token:
																						raise ValueError(
																						    F'The tokenizer already has placeholder token {token} that can get confused with'
																						    F' {placeholder_token}keep placeholder tokens independent'    )
												a__          =  output




							def  lowercase		(   self:     Tuple				,		__A:     Any				,		__A:     str=False				,		__A:     Any=1.0    ):

												'''simple docstring'''

												if isinstance(__A				,		__A    ):
																	a__          =  []
																	for i in range(len(__A    )    ):
																						output.append(self.replace_placeholder_tokens_in_text(text[i]				,		vector_shuffle=__A    )    )
																	return output
												for placeholder_token in self.token_map:
																	if placeholder_token in text:
																						a__          =  self.token_map[placeholder_token]
																						a__          =  tokens[: 1 + int(len(__A    ) * prop_tokens_to_load    )]
																						if vector_shuffle:
																											a__          =  copy.copy(__A    )
																											random.shuffle(__A    )
																						a__          =  text.replace(__A				,		''' '''.join(__A    )    )
												return text




							def __call__(   self:     Union[str, Any]				,		__A:     List[str]				,		*__A:     Union[str, Any]				,		__A:     Any=False				,		__A:     List[Any]=1.0				,		**__A:     Optional[Any]    ):

												'''simple docstring'''

												return super().__call__(
												    self.replace_placeholder_tokens_in_text(
												        __A				,		vector_shuffle=__A				,		prop_tokens_to_load=__A    )				,		*__A				,		**__A				,		)





							def  lowercase		(   self:     Optional[Any]				,		__A:     Optional[Any]				,		*__A:     Dict				,		__A:     Union[str, Any]=False				,		__A:     Union[str, Any]=1.0				,		**__A:     Optional[int]    ):

												'''simple docstring'''

												return super().encode(
												    self.replace_placeholder_tokens_in_text(
												        __A				,		vector_shuffle=__A				,		prop_tokens_to_load=__A    )				,		*__A				,		**__A				,		)










"""simple docstring"""







class        _SCREAMING_SNAKE_CASE						:





							"""simple docstring"""





							def __init__(   self:     Any    ):

												'''simple docstring'''

												a__          =  {}




							def  lowercase		(   self:     Optional[int]    ):

												'''simple docstring'''

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




							def  lowercase		(   self:     Union[str, Any]				,		__A:     int				,		__A:     int    ):

												'''simple docstring'''

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




							def  lowercase		(   self:     Dict    ):

												'''simple docstring'''

												a__          =  [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  lowercase		(   self:     Optional[int]				,		__A:     int				,		__A:     list    ):

												'''simple docstring'''

												a__          =  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       :	Any             = 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


