






"""simple docstring"""
from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader



class      SCREAMING_SNAKE_CASE  (				_SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




	def __init__(self     ,     lowerCAmelCase_     ,     lowerCAmelCase_ = None     ,     lowerCAmelCase_ = None     ,     lowerCAmelCase_ = None     ,     lowerCAmelCase_ = False     ,     lowerCAmelCase_ = False     ,     lowerCAmelCase_ = None     ,     **lowerCAmelCase_     ,     ):
		super().__init__(
		    lowerCAmelCase_     ,     split=lowerCAmelCase_     ,     features=lowerCAmelCase_     ,     cache_dir=lowerCAmelCase_     ,     keep_in_memory=lowerCAmelCase_     ,     streaming=lowerCAmelCase_     ,     num_proc=lowerCAmelCase_     ,     **lowerCAmelCase_     ,     )
		A_		:						List[Any]	    =   path_or_paths if isinstance(lowerCAmelCase_     ,     lowerCAmelCase_							) else {self.split: path_or_paths}
		A_		:						List[Any]	    =   Text(
		    cache_dir=lowerCAmelCase_     ,     data_files=lowerCAmelCase_     ,     features=lowerCAmelCase_     ,     **lowerCAmelCase_     ,     )





	def    lowerCamelCase(self							):
		# Build iterable dataset
		if self.streaming:
			A_		:						Optional[Any]	    =   self.builder.as_streaming_dataset(split=self.split							)
		# Build regular (map-style) dataset
		else:
			A_		:						Optional[Any]	    =   None
			A_		:						Union[str, Any]	    =   None
			A_		:						int	    =   None
			A_		:						List[str]	    =   None

			self.builder.download_and_prepare(
			    download_config=lowerCAmelCase_     ,     download_mode=lowerCAmelCase_     ,     verification_mode=lowerCAmelCase_     ,     base_path=lowerCAmelCase_     ,     num_proc=self.num_proc     ,     )
			A_		:						List[str]	    =   self.builder.as_dataset(
			    split=self.split     ,     verification_mode=lowerCAmelCase_     ,     in_memory=self.keep_in_memory							)
		return dataset









"""simple docstring"""
_lowerCAmelCase         =							{"a": ["c", "b"], "b": ["d", "e"], "c": [], "d": [], "e": []}
_lowerCAmelCase         =							["a", "b", "c", "d", "e"]






def 			__UpperCamelCase	(		snake_case__   ,   snake_case__   ,   snake_case__					):
	A_		:						int	    =   start
	# add current to visited
	visited.append(snake_case__					)
	A_		:						Any	    =   edges[current]
	for neighbor in neighbors:
		# if neighbor not in visited, visit
		if neighbor not in visited:
			A_		:						Optional[Any]	    =   topological_sort(snake_case__   ,   snake_case__   ,   snake_case__					)
    # if all neighbors visited add current to sort
	sort.append(snake_case__					)
	# if all vertices haven't been visited select a new one to visit
	if len(snake_case__					) != len(snake_case__					):
		for vertice in vertices:
			if vertice not in visited:
				A_		:						Optional[Any]	    =   topological_sort(snake_case__   ,   snake_case__   ,   snake_case__					)
    # return sort
	return sort


if __name__ == "__main__":
							_lowerCAmelCase         =							topological_sort("a", [], [])
							print(sort)

