





def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		)    ->       bool:
		lowercase__           =  set()
		# To detect a back edge, keep track of vertices currently in the recursion stack
		lowercase__           =  set()
		return any(
		    node not in visited and depth_first_search(_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		)
		    for node in graph		)




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		)    ->       bool:
		visited.add(_SCREAMING_SNAKE_CASE		)
		rec_stk.add(_SCREAMING_SNAKE_CASE		)

		for node in graph[vertex]:
				if node not in visited:
						if depth_first_search(_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		):
								return True
				elif node in rec_stk:
						return True

				# The node needs to be removed from recursion stack before function ends
		rec_stk.remove(_SCREAMING_SNAKE_CASE		)
		return False


if __name__ == "__main__":
						from doctest import testmod

						testmod()









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

from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=UpperCAmelCase				)
class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):
   _UpperCamelCase   :		str			 =	field(default='language-modeling'      ,     metadata={'include_in_asdict_even_if_is_default': True}				)

   _UpperCamelCase   :		ClassVar[Features]			 =	Features({'text': Value('string'				)}				)
   _UpperCamelCase   :		ClassVar[Features]			 =	Features({}				)
   _UpperCamelCase   :		str			 =	"text"


   @property
   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]	)->       Dict[str, str]:





     """simple docstring"""







     return {self.text_column: "text"}


