




def  lowerCAmelCase  (	UpperCAmelCase       )  ->int:






					"""simple docstring"""






					barcode //= 10  # exclude the last digit
					__magic_name__					:							Dict		   =							False
					__magic_name__					:							Union[str, Any]		   =							0

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

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







def  lowerCAmelCase  (	UpperCAmelCase       )  ->bool:






					"""simple docstring"""






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







def  lowerCAmelCase  (	UpperCAmelCase       )  ->int:






					"""simple docstring"""






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


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				lowercase_		=							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.")









import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
				import tensorflow as tf

				from transformers.activations_tf import get_tf_activation





@require_tf
class 		A__				(   unittest.TestCase ):






	def  lowercase      (	self						)      ->   Dict:




						"""simple docstring"""






						__magic_name__					:							int		   =							tf.constant([-100, -1.0, -0.1, 0, 0.1, 1.0, 1_0_0.0]						)
						__magic_name__					:							List[str]		   =							get_tf_activation('''gelu'''						)
						__magic_name__					:							str		   =							get_tf_activation('''gelu_10'''						)

						__magic_name__					:							List[str]		   =							gelu(lowerCamelCase						)
						__magic_name__					:							Optional[Any]		   =							geluaa(lowerCamelCase						)

						__magic_name__					:							Optional[int]		   =							tf.where(y_gelu_aa < 1_0.0				,     1.0				,     0.0						)

						self.assertEqual(tf.math.reduce_max(lowerCamelCase						).numpy().item()				,     1_0.0						)
						self.assertTrue(np.allclose(y_gelu * clipped_mask				,     y_gelu_aa * clipped_mask						)						)






	def  lowercase      (	self						)      ->   Dict:




						"""simple docstring"""






						get_tf_activation('''gelu'''						)
						get_tf_activation('''gelu_10'''						)
						get_tf_activation('''gelu_fast'''						)
						get_tf_activation('''gelu_new'''						)
						get_tf_activation('''glu'''						)
						get_tf_activation('''mish'''						)
						get_tf_activation('''quick_gelu'''						)
						get_tf_activation('''relu'''						)
						get_tf_activation('''sigmoid'''						)
						get_tf_activation('''silu'''						)
						get_tf_activation('''swish'''						)
						get_tf_activation('''tanh'''						)
						with self.assertRaises(lowerCamelCase						):
											get_tf_activation('''bogus'''						)
						with self.assertRaises(lowerCamelCase						):
											get_tf_activation(lowerCamelCase						)



