




import warnings

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


UpperCAmelCase__    :							List[Any]       		=     logging.get_logger(__name__)

class   UpperCAmelCase    (      _a ):






   def __init__(						self :							Dict    ,       *UpperCamelCase_ :							List[Any]    ,       **UpperCamelCase_ :							Dict  )->      None:
     warnings.warn(
         'The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
         ' Please use MobileNetV2ImageProcessor instead.'    ,       snake_case_    ,       )
     super().__init__(*snake_case_    ,       **snake_case_  )








"""simple docstring"""





from math import gcd







def 	lowerCAmelCase_(			SCREAMING_SNAKE_CASE = 1_20_00       )       ->						int:
    """simple docstring"""

    UpperCamelCase__								=     0
    for d in range(max_d + 1       ):
        for n in range(d // 3 + 1			,						(d + 1) // 2       ):
            if gcd(SCREAMING_SNAKE_CASE			,						SCREAMING_SNAKE_CASE       ) == 1:
                fractions_number += 1
    return fractions_number


if __name__ == "__main__":
  print(F"""{solution() = }""")




