






import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


__UpperCAmelCase      				=							logging.get_logger(__name__)
class 					a_(						lowercase__					):



     """simple docstring"""



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

      """simple docstring"""
      warnings.warn(
          'The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
          ' Please use LayoutLMv3ImageProcessor instead.'       ,       lowerCAmelCase__       ,       )
      super().__init__(*lowerCAmelCase__       ,       **lowerCAmelCase__)












import math





def 		A_			(		lowercase_	)							->List[Any]:







 """simple docstring"""

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

 SCREAMING_SNAKE_CASE							  =						3

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

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

 if n > 2:
  count += 1
 return count


if __name__ == "__main__":
      __UpperCAmelCase      				=							5_1_2_4_2_1_8_3
      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}')




