






class 							SCREAMING_SNAKE_CASE__		:





					"""simple docstring"""






					def __init__(      self  :						Tuple ):
						snake_case__				:   Union[str, Any]     =						{}



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



					def  _lowercase  (      self  :						List[str]							,	__A  :						int							,	__A  :						int ):
						# check if vertex is already present,
						if from_vertex in self.vertex:
							self.vertex[from_vertex].append(__A )
						else:
							# else make a new vertex
							snake_case__				:   Optional[int]     =						[to_vertex]



					def  _lowercase  (      self  :						Optional[int] ):
						# visited array for storing already visited nodes
						snake_case__				:   Optional[int]     =						[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  :						Any							,	__A  :						int							,	__A  :						list ):
						# mark start vertex as visited
						snake_case__				:   Tuple     =						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__":
							__lowerCamelCase      :    str   		=   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











import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Value
from .base import TaskTemplate



@dataclass(frozen=UpperCamelCase_		)
class 							SCREAMING_SNAKE_CASE__		(       UpperCamelCase_		):





					"""simple docstring"""






					a_			=	field(default="text-classification"				,     metadata={"include_in_asdict_even_if_is_default": True}		)
					a_			=	Features({"text": Value("string"		)}		)
					a_			=	Features({"labels": ClassLabel}		)
					a_			=	"text"
					a_			=	"labels"



					def  _lowercase  (      self  :						Tuple							,	__A  :						List[Any] ):
						if self.label_column not in features:
							raise ValueError(f'''Column {self.label_column} is not present in features.''' )
						if not isinstance(features[self.label_column]							,	__A ):
							raise ValueError(f'''Column {self.label_column} is not a ClassLabel.''' )
						snake_case__				:   Any     =						copy.deepcopy(self )
						snake_case__				:   Optional[Any]     =						self.label_schema.copy()
						snake_case__				:   List[str]     =						features[self.label_column]
						snake_case__				:   Dict     =						label_schema
						return task_template






					@property
					def  _lowercase  (      self  :						Tuple ):
						return {
						    self.text_column: "text",
						    self.label_column: "labels",
						}



