



from timeit import timeit



def 	__a					(   lowerCAmelCase_       : int    )				->			int:






						'''simple docstring'''



						if number < 0:
												raise ValueError("""the value of input must not be negative"""    )
						UpperCAmelCase_=       0
						while number:
												number &= number - 1
												result += 1
						return result



def 	__a					(   lowerCAmelCase_       : int    )				->			int:






						'''simple docstring'''



						if number < 0:
												raise ValueError("""the value of input must not be negative"""    )
						UpperCAmelCase_=       0
						while number:
												if number % 2 == 1:
																		result += 1
												number >>= 1
						return result



def 	__a					(   )				->			None:






						'''simple docstring'''



						def do_benchmark(lowerCAmelCase_       : int    ) -> None:
												UpperCAmelCase_=       """import __main__ as z"""
												print(F"""Benchmark when {number = }:"""    )
												print(F"""{get_set_bits_count_using_modulo_operator(lowerCAmelCase_    ) = }"""    )
												UpperCAmelCase_=       timeit("""z.get_set_bits_count_using_modulo_operator(25)"""      ,setup=lowerCAmelCase_    )
												print(F"""timeit() runs in {timing} seconds"""    )
												print(F"""{get_set_bits_count_using_brian_kernighans_algorithm(lowerCAmelCase_    ) = }"""    )
												UpperCAmelCase_=       timeit(
												    """z.get_set_bits_count_using_brian_kernighans_algorithm(25)"""      ,setup=lowerCAmelCase_      ,)
												print(F"""timeit() runs in {timing} seconds"""    )

						for number in (25, 37, 58, 0):
												do_benchmark(lowerCAmelCase_    )
												print()


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	benchmark()









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					)




