



"""simple docstring"""




def      A_ (		__a       :			int						):

				"""simple docstring"""
				barcode //= 10  # exclude the last digit
				a__			 =						False
				a__			 =						0

				# extract and check each digit
				while barcode != 0:
								a__			 =						1 if checker else 3
								s += mult * (barcode % 10)
								barcode //= 10
								a__			 =						not checker

				return (10 - (s % 10)) % 10

def      A_ (		__a       :			int						):

				"""simple docstring"""
				return len(str(__lowercase						)						) == 13 and get_check_digit(__lowercase						) == barcode % 10

def      A_ (		__a       :			str						):

				"""simple docstring"""

				if str(__lowercase						).isalpha():
								a__			 =						F'''Barcode \'{barcode}\' has alphabetic characters.'''
								raise ValueError(__lowercase						)
				elif int(__lowercase						) < 0:
								raise ValueError("""The entered barcode has a negative value. Try again."""						)
				else:
								return int(__lowercase						)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	UpperCAmelCase								=   get_barcode(input("""Barcode: """).strip())

	if is_valid(barcode):
		print(f"""'{barcode}' is a valid barcode.""")
	else:
		print(f"""'{barcode}' is NOT a valid barcode.""")






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


UpperCAmelCase								=   logging.get_logger(__name__)

UpperCAmelCase								=   {
    """facebook/regnet-y-040""": """https://huggingface.co/facebook/regnet-y-040/blob/main/config.json""",
}

class 	__snake_case (				SCREAMING_SNAKE_CASE):







							'''simple docstring'''






							UpperCamelCase__			: Tuple             =   """regnet"""
							UpperCamelCase__			: int             =   ["""x""", """y"""]


							def __init__(							self					,					a_=3					,					a_=32					,					a_=[128, 192, 512, 1_088]					,					a_=[2, 6, 12, 2]					,					a_=64					,					a_="y"					,					a_="relu"					,					**a_					,					):
											super().__init__(**a_						)
											if layer_type not in self.layer_types:
															raise ValueError(F'''layer_type={layer_type} is not one of {",".join(self.layer_types						)}'''						)
											a__			 =						num_channels
											a__			 =						embedding_size
											a__			 =						hidden_sizes
											a__			 =						depths
											a__			 =						groups_width
											a__			 =						layer_type
											a__			 =						hidden_act
											# always downsample in the first stage
											a__			 =						True

