



def 	_lowerCAmelCase (    A__						):
      return credit_card_number.startswith(('34', '35', '37', '4', '5', '6')						)

def 	_lowerCAmelCase (    A__						):
      lowercase__  =	credit_card_number
      lowercase__  =	0
      lowercase__  =	len(A__						) - 2
      for i in range(A__    ,	-1    ,	-2						):
            #  double the value of every second digit
            lowercase__  =	int(cc_number[i]						)
            digit *= 2
            # If doubling of a number results in a two digit number
            # i.e greater than 9(e.g., 6 × 2 = 12),
            # then add the digits of the product (e.g., 12: 1 + 2 = 3, 15: 1 + 5 = 6),
            # to get a single digit number.
            if digit > 9:
                  digit %= 10
                  digit += 1
            lowercase__  =	cc_number[:i] + str(A__						) + cc_number[i + 1 :]
            total += digit

      # Sum up the remaining digits
      for i in range(len(A__						) - 1    ,	-1    ,	-2						):
            total += int(cc_number[i]						)

      return total % 10 == 0

def 	_lowerCAmelCase (    A__						):
      lowercase__  =	F'''{credit_card_number} is an invalid credit card number because'''
      if not credit_card_number.isdigit():
            print(F'''{error_message} it has nonnumerical characters.'''						)
            return False

      if not 13 <= len(A__						) <= 16:
            print(F'''{error_message} of its length.'''						)
            return False

      if not validate_initial_digits(A__						):
            print(F'''{error_message} of its first two digits.'''						)
            return False

      if not luhn_validation(A__						):
            print(F'''{error_message} it fails the Luhn check.'''						)
            return False

      print(F'''{credit_card_number} is a valid credit card number.'''						)
      return True


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       validate_credit_card_number("4111111111111111")
       validate_credit_card_number("32323")





import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


a__   :					Optional[Any] 						=      logging.get_logger(__name__)



class    UpperCAmelCase__(				lowerCamelCase						):

   '''simple docstring'''




   def __init__(    self	:      Optional[Any]      ,					*lowerCAmelCase	:      Optional[Any]      ,					**lowerCAmelCase	:      List[Any])						->					None:




         """simple docstring"""

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