




"""simple docstring"""







from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxSeqaSeqConfigWithPast
from ...utils import logging


a								=							logging.get_logger(__name__)

a								=							{
    """google/long-t5-local-base""": """https://huggingface.co/google/long-t5-local-base/blob/main/config.json""",
    """google/long-t5-local-large""": """https://huggingface.co/google/long-t5-local-large/blob/main/config.json""",
    """google/long-t5-tglobal-base""": """https://huggingface.co/google/long-t5-tglobal-base/blob/main/config.json""",
    """google/long-t5-tglobal-large""": """https://huggingface.co/google/long-t5-tglobal-large/blob/main/config.json""",
}






class  SCREAMING_SNAKE_CASE__   (   _UpperCAmelCase   ):
						_a        =  '''longt5'''
						_a        =  ['''past_key_values''']
						_a        =  {'''hidden_size''': '''d_model''', '''num_attention_heads''': '''num_heads''', '''num_hidden_layers''': '''num_layers'''}


						def __init__(							self			:     Union[str, Any]  ,  lowerCAmelCase			:     Optional[Any]=3_2128  ,  lowerCAmelCase			:     List[Any]=512  ,  lowerCAmelCase			:     Union[str, Any]=64  ,  lowerCAmelCase			:     Optional[int]=2048  ,  lowerCAmelCase			:     int=6  ,  lowerCAmelCase			:     Optional[Any]=None  ,  lowerCAmelCase			:     Union[str, Any]=8  ,  lowerCAmelCase			:     Optional[Any]=127  ,  lowerCAmelCase			:     Optional[Any]=16  ,  lowerCAmelCase			:     List[str]=32  ,  lowerCAmelCase			:     List[Any]=128  ,  lowerCAmelCase			:     str=0.1  ,  lowerCAmelCase			:     Tuple=1e-6  ,  lowerCAmelCase			:     Optional[int]=1.0  ,  lowerCAmelCase			:     List[str]="relu"  ,  lowerCAmelCase			:     int=True  ,  lowerCAmelCase			:     Optional[int]="local"  ,  lowerCAmelCase			:     List[str]=True  ,  lowerCAmelCase			:     Optional[Any]=0  ,  lowerCAmelCase			:     List[Any]=1  ,  **lowerCAmelCase			:     Any  ,  ):
										lowerCAmelCase		=			vocab_size
										lowerCAmelCase		=			d_model
										lowerCAmelCase		=			d_kv
										lowerCAmelCase		=			d_ff
										lowerCAmelCase		=			num_layers
										# default = symmetry
										lowerCAmelCase		=			num_decoder_layers if num_decoder_layers is not None else self.num_layers
										lowerCAmelCase		=			num_heads
										lowerCAmelCase		=			local_radius
										lowerCAmelCase		=			global_block_size
										lowerCAmelCase		=			relative_attention_num_buckets
										lowerCAmelCase		=			relative_attention_max_distance
										lowerCAmelCase		=			dropout_rate
										lowerCAmelCase		=			layer_norm_epsilon
										lowerCAmelCase		=			initializer_factor
										lowerCAmelCase		=			feed_forward_proj
										lowerCAmelCase		=			encoder_attention_type
										lowerCAmelCase		=			use_cache

										lowerCAmelCase		=			self.feed_forward_proj.split("""-"""   )
										lowerCAmelCase		=			act_info[-1]
										lowerCAmelCase		=			act_info[0] == """gated"""

										if len(lowerCAmelCase__   ) > 1 and act_info[0] != "gated" or len(lowerCAmelCase__   ) > 2:
														raise ValueError(
														    f'''`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'''
														    """Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. """
														    """\'gated-gelu\' or \'relu\'"""   )

										# for backwards compatibility
										if feed_forward_proj == "gated-gelu":
														lowerCAmelCase		=			"""gelu_new"""

										super().__init__(
										    pad_token_id=lowerCAmelCase__  ,  eos_token_id=lowerCAmelCase__  ,  is_encoder_decoder=lowerCAmelCase__  ,  **lowerCAmelCase__  ,  )






class  SCREAMING_SNAKE_CASE__   (   _UpperCAmelCase   ):


						@property
						def 					__lowercase	(							self			:     List[str]   ):
										lowerCAmelCase		=			{
										    """input_ids""": {0: """batch""", 1: """encoder_sequence"""},
										    """attention_mask""": {0: """batch""", 1: """encoder_sequence"""},
										}
										if self.use_past:
														lowerCAmelCase		=			"""past_encoder_sequence + sequence"""
														lowerCAmelCase		=			{0: """batch"""}
														lowerCAmelCase		=			{0: """batch""", 1: """past_decoder_sequence + sequence"""}
										else:
														lowerCAmelCase		=			{0: """batch""", 1: """decoder_sequence"""}
														lowerCAmelCase		=			{0: """batch""", 1: """decoder_sequence"""}

										if self.use_past:
														self.fill_with_past_key_values_(lowerCAmelCase__  ,  direction="""inputs"""   )

										return common_inputs




						@property
						def 					__lowercase	(							self			:     str   ):
										return 13








"""simple docstring"""







def 							lowercase   (snake_case__				:	int	)       ->					int:


				'''simple docstring'''






				barcode //= 10  # exclude the last digit
				lowerCAmelCase		=			False
				lowerCAmelCase		=			0

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

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





def 							lowercase   (snake_case__				:	int	)       ->					bool:


				'''simple docstring'''






				return len(str(snake_case__	)	) == 13 and get_check_digit(snake_case__	) == barcode % 10





def 							lowercase   (snake_case__				:	str	)       ->					int:


				'''simple docstring'''






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


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		a								=							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.""")





