

def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							return credit_card_number.startswith(('34', '35', '37', '4', '5', '6')				)





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   credit_card_number
							snake_case_          =   0
							snake_case_          =   len(lowercase__				) - 2
							for i in range(lowercase__       ,							-1       ,							-2				):
														#  double the value of every second digit
														snake_case_          =   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
														snake_case_          =   cc_number[:i] + str(lowercase__				) + cc_number[i + 1 :]
														total += digit

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

							return total % 10 == 0





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   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(lowercase__				) <= 16:
														print(F'''{error_message} of its length.'''				)
														return False

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

							if not luhn_validation(lowercase__				):
														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""")







from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCAmelCase		:       str						    =	logging.get_logger(__name__)

_UpperCAmelCase		:       int						    =	{
    """google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}







class 			lowercase    (	lowercase_      ):
				__SCREAMING_SNAKE_CASE :			int	      =      '''canine'''




				def __init__( self				,       snake_case=768				,       snake_case=12				,       snake_case=12				,       snake_case=3072				,       snake_case="gelu"				,       snake_case=0.1				,       snake_case=0.1				,       snake_case=1_6384				,       snake_case=16				,       snake_case=0.02				,       snake_case=1e-1_2				,       snake_case=0				,       snake_case=0xE000				,       snake_case=0xE001				,       snake_case=4				,       snake_case=4				,       snake_case=8				,       snake_case=1_6384				,       snake_case=128				,       **snake_case				,       ):
											super().__init__(pad_token_id=snake_case				,       bos_token_id=snake_case				,       eos_token_id=snake_case				,       **snake_case	)

											snake_case_          =   max_position_embeddings
											snake_case_          =   hidden_size
											snake_case_          =   num_hidden_layers
											snake_case_          =   num_attention_heads
											snake_case_          =   intermediate_size
											snake_case_          =   hidden_act
											snake_case_          =   hidden_dropout_prob
											snake_case_          =   attention_probs_dropout_prob
											snake_case_          =   initializer_range
											snake_case_          =   type_vocab_size
											snake_case_          =   layer_norm_eps

											# Character config:
											snake_case_          =   downsampling_rate
											snake_case_          =   upsampling_kernel_size
											snake_case_          =   num_hash_functions
											snake_case_          =   num_hash_buckets
											snake_case_          =   local_transformer_stride




