



import math


def   lowercase_	(   lowerCAmelCase__	:  List[str] ):

			"""simple docstring"""





			__UpperCAmelCase   :      Dict										=     0
			if n % 2 == 0:
						count += 1
						while n % 2 == 0:
									__UpperCAmelCase   :      List[str]										=     int(n / 2 )
						# the n input value must be odd so that
						# we can skip one element (ie i += 2)

			__UpperCAmelCase   :      Any										=     3

			while i <= int(math.sqrt(lowerCAmelCase__ ) ):
						if n % i == 0:
									count += 1
									while n % i == 0:
												__UpperCAmelCase   :      Optional[int]										=     int(n / i )
						__UpperCAmelCase   :      List[Any]										=     i + 2

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

			if n > 2:
						count += 1
			return count


if __name__ == "__main__":
					_UpperCamelCase											=			5124_2183
					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}')









'''simple docstring'''
import warnings

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


_UpperCamelCase											=			logging.get_logger(__name__)



class _A  (    __SCREAMING_SNAKE_CASE    ):





		def __init__(     self ,       *__UpperCAmelCase ,       **__UpperCAmelCase				)       ->     None:

					'''simple docstring'''
					warnings.warn(
					    """The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
					    """ Please use MobileNetV2ImageProcessor instead.""" ,       __UpperCAmelCase ,       )
					super().__init__(*__UpperCAmelCase ,       **__UpperCAmelCase				)




