

"""simple docstring"""




import math
def   __SCREAMING_SNAKE_CASE		(		lowercase__ ):
					"""simple docstring"""
					A     =   0
					if n % 2 == 0:
										count += 1
										while n % 2 == 0:
															A     =   int(n / 2 )
    # the n input value must be odd so that
    # we can skip one element (ie i += 2)

					A     =   3

					while i <= int(math.sqrt(lowercase__ ) ):
										if n % i == 0:
															count += 1
															while n % i == 0:
																				A     =   int(n / i )
										A     =   i + 2

					# this condition checks the prime
					# number n is greater than 2

					if n > 2:
										count += 1
					return count


if __name__ == "__main__":
	__A	:       Dict        =						51_24_21_83
	print(f"""The number of distinct prime factors is/are {exact_prime_factor_count(n)}""")
	print(f"""The value of log(log(n)) is {math.log(math.log(n)):.4f}""")








import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


lowercase_									=    logging.get_logger(__name__)


class 					A		(				_UpperCAmelCase					):







    """simple docstring"""





    def __init__( self					:			str,*lowercase_					:			List[Any],**lowercase_					:			Dict						)->       None:





        '''simple docstring'''







        warnings.warn(
            'The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
            ' Please use MobileNetV1ImageProcessor instead.',lowercase_,)
        super().__init__(*lowercase_,**lowercase_						)

