

"""simple docstring"""




from timeit import timeit

def 	A       (     snake_case__    ):




			'''simple docstring'''


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

def 	A       (     snake_case__    ):




			'''simple docstring'''


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

def 	A       (     ):




			'''simple docstring'''


			def do_benchmark(snake_case__    ) -> None:
						SCREAMING_SNAKE_CASE__								=      """import __main__ as z"""
						print(f"""Benchmark when {number = }:"""    )
						print(f"""{get_set_bits_count_using_modulo_operator(__UpperCamelCase    ) = }"""    )
						SCREAMING_SNAKE_CASE__								=      timeit("""z.get_set_bits_count_using_modulo_operator(25)"""		,				setup=__UpperCamelCase    )
						print(f"""timeit() runs in {timing} seconds"""    )
						print(f"""{get_set_bits_count_using_brian_kernighans_algorithm(__UpperCamelCase    ) = }"""    )
						SCREAMING_SNAKE_CASE__								=      timeit(
						    """z.get_set_bits_count_using_brian_kernighans_algorithm(25)"""		,				setup=__UpperCamelCase		,				)
						print(f"""timeit() runs in {timing} seconds"""    )

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


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						benchmark()





"""simple docstring"""




from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments


