



def 	__a					(   lowerCAmelCase_       : int      ,lowerCAmelCase_       : int    )				->			int:






						'''simple docstring'''



						while b:
												UpperCAmelCase_,       UpperCAmelCase_=       b, a % b
						return a



def 	__a					(   lowerCAmelCase_       : int      ,lowerCAmelCase_       : int    )				->			int:






						'''simple docstring'''



						return a if b == 0 else euclidean_gcd_recursive(lowerCAmelCase_      ,a % b    )



def 	__a					(   )				->			Tuple:






						'''simple docstring'''



						print(F"""euclidean_gcd(3, 5) = {euclidean_gcd(3      ,5    )}"""    )
						print(F"""euclidean_gcd(5, 3) = {euclidean_gcd(5      ,3    )}"""    )
						print(F"""euclidean_gcd(1, 3) = {euclidean_gcd(1      ,3    )}"""    )
						print(F"""euclidean_gcd(3, 6) = {euclidean_gcd(3      ,6    )}"""    )
						print(F"""euclidean_gcd(6, 3) = {euclidean_gcd(6      ,3    )}"""    )

						print(F"""euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3      ,5    )}"""    )
						print(F"""euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5      ,3    )}"""    )
						print(F"""euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1      ,3    )}"""    )
						print(F"""euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3      ,6    )}"""    )
						print(F"""euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6      ,3    )}"""    )


if __name__ == "__main__":
	main()









from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader






class 		lowercase						(			snake_case__):






	"""simple docstring"""


	def __init__(     self     :						int						,  __UpperCAmelCase     :						pyspark.sql.DataFrame						,  __UpperCAmelCase     :						Optional[NamedSplit] = None						,  __UpperCAmelCase     :						Optional[Features] = None						,  __UpperCAmelCase     :						bool = True						,  __UpperCAmelCase     :						str = None						,  __UpperCAmelCase     :						bool = False						,  __UpperCAmelCase     :						str = None						,  __UpperCAmelCase     :						bool = True						,  __UpperCAmelCase     :						str = "arrow"						,  **__UpperCAmelCase     :						str						,  )      ->			Dict:
							super().__init__(
							    split=__UpperCAmelCase						,  features=__UpperCAmelCase						,  cache_dir=__UpperCAmelCase						,  keep_in_memory=__UpperCAmelCase						,  streaming=__UpperCAmelCase						,  **__UpperCAmelCase						,  )
							UpperCAmelCase_=       load_from_cache_file
							UpperCAmelCase_=       file_format
							UpperCAmelCase_=       Spark(
							    df=__UpperCAmelCase						,  features=__UpperCAmelCase						,  cache_dir=__UpperCAmelCase						,  working_dir=__UpperCAmelCase						,  **__UpperCAmelCase						,  )




	def   _SCREAMING_SNAKE_CASE		(     self     :						Any					)      ->			Dict:
							if self.streaming:
													return self.builder.as_streaming_dataset(split=self.split					)
							UpperCAmelCase_=       None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
							self.builder.download_and_prepare(
							    download_mode=__UpperCAmelCase						,  file_format=self._file_format						,  )
							return self.builder.as_dataset(split=self.split					)




