




'''simple docstring'''

from itertools import permutations




def    snake_case__     (  a = 5	)			->       int:





			'''simple docstring'''






			if gon_side < 3 or gon_side > 5:
						raise ValueError("""gon_side must be in the range [3, 5]"""	)

			# Since it's 16, we know 10 is on the outer ring
			# Put the big numbers at the end so that they are never the first number
			snake_case__          =						list(range(gon_side + 1       ,      0       ,      -1	)	)
			snake_case__          =						list(range(gon_side + 2       ,      gon_side * 2 + 1	)	)

			for perm in permutations(small_numbers + big_numbers	):
						snake_case__          =						generate_gon_ring(a       ,      list(a	)	)
						if is_magic_gon(a	):
									return int("""""".join(str(a	) for n in numbers	)	)

			snake_case__          =						F"""Magic {gon_side}-gon ring is impossible"""
			raise ValueError(a	)




def    snake_case__     (  a       ,      a	)			->       list[int]:





			'''simple docstring'''






			snake_case__          =						[0] * (gon_side * 3)
			snake_case__          =						perm[0:3]
			perm.append(perm[1]	)

			snake_case__          =						1 if gon_side < 5 else 2

			for i in range(1       ,      len(a	) // 3 + magic_number	):
						snake_case__          =						perm[2 * i + 1]
						snake_case__          =						result[3 * i - 1]
						snake_case__          =						perm[2 * i + 2]

			return result




def    snake_case__     (  a	)			->       bool:





			'''simple docstring'''






			if len(a	) % 3 != 0:
						raise ValueError("""a gon ring should have a length that is a multiple of 3"""	)

			if min(numbers[::3]	) != numbers[0]:
						return False

			snake_case__          =						sum(numbers[:3]	)

			return all(sum(numbers[i : i + 3]	) == total for i in range(3       ,      len(a	)       ,      3	)	)


if __name__ == "__main__":
		print(solution())

'''simple docstring'''


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     __snake_case			(    unittest.TestCase	):




		def 	_snake_case	(  self					:Tuple)					->			List[Any]:






								'''simple docstring'''






								UpperCamelCase_     :	List[str]					     =     tf.constant([-1_0_0, -1.0, -0.1, 0, 0.1, 1.0, 100.0])
								UpperCamelCase_     :	Any					     =     get_tf_activation("""gelu""")
								UpperCamelCase_     :	List[Any]					     =     get_tf_activation("""gelu_10""")

								UpperCamelCase_     :	Optional[int]					     =     gelu(_SCREAMING_SNAKE_CASE)
								UpperCamelCase_     :	Dict					     =     geluaa(_SCREAMING_SNAKE_CASE)

								UpperCamelCase_     :	List[Any]					     =     tf.where(y_gelu_aa < 10.0			,    1.0			,    0.0)

								self.assertEqual(tf.math.reduce_max(_SCREAMING_SNAKE_CASE).numpy().item()			,    10.0)
								self.assertTrue(np.allclose(y_gelu * clipped_mask			,    y_gelu_aa * clipped_mask))





		def 	_snake_case	(  self					:Any)					->			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(_SCREAMING_SNAKE_CASE):
														get_tf_activation("""bogus""")
								with self.assertRaises(_SCREAMING_SNAKE_CASE):
														get_tf_activation(_SCREAMING_SNAKE_CASE)




