



import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
							import torch

							from transformers.activations import gelu_new, gelu_python, get_activation
@require_torch
class 			_snake_case     (   unittest.TestCase):




				def 							A__ (  self   :  Any  ):
							lowercase__   					=			torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]  )
							lowercase__   					=			get_activation("gelu"  )
							self.assertTrue(torch.allclose(gelu_python(__A  ),   torch_builtin(__A  )  )  )
							self.assertFalse(torch.allclose(gelu_python(__A  ),   gelu_new(__A  )  )  )




				def 							A__ (  self   :  Tuple  ):
							lowercase__   					=			torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]  )
							lowercase__   					=			get_activation("gelu"  )
							lowercase__   					=			get_activation("gelu_10"  )

							lowercase__   					=			torch_builtin(__A  )
							lowercase__   					=			geluaa(__A  )

							lowercase__   					=			torch.where(y_gelu_aa < 10.0,   1,   0  )

							self.assertTrue(torch.max(__A  ).item() == 10.0  )
							self.assertTrue(torch.allclose(y_gelu * clipped_mask,   y_gelu_aa * clipped_mask  )  )




				def 							A__ (  self   :  List[str]  ):
							get_activation("gelu"  )
							get_activation("gelu_10"  )
							get_activation("gelu_fast"  )
							get_activation("gelu_new"  )
							get_activation("gelu_python"  )
							get_activation("gelu_pytorch_tanh"  )
							get_activation("linear"  )
							get_activation("mish"  )
							get_activation("quick_gelu"  )
							get_activation("relu"  )
							get_activation("sigmoid"  )
							get_activation("silu"  )
							get_activation("swish"  )
							get_activation("tanh"  )
							with self.assertRaises(__A  ):
										get_activation("bogus"  )
							with self.assertRaises(__A  ):
										get_activation(__A  )




				def 							A__ (  self   :  Union[str, Any]  ):
							lowercase__   					=			get_activation("gelu"  )
							lowercase__   					=			1
							lowercase__   					=			get_activation("gelu"  )
							self.assertEqual(acta.a,   1  )
							with self.assertRaises(__A  ):
										lowercase__   					=			acta.a









def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			1  # To kept the Calculated Value
			# Since C(n, k) = C(n, n-k)
			if k > (n - k):
						lowercase__   					=			n - k
			# Calculate C(n,k)
			for i in range(SCREAMING_SNAKE_CASE_					):
						result *= n - i
						result //= i + 1
			return result



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			return binomial_coefficient(2 * node_count  ,					SCREAMING_SNAKE_CASE_					) // (node_count + 1)



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			if n < 0:
						raise ValueError("factorial() not defined for negative values"					)
			lowercase__   					=			1
			for i in range(1  ,					n + 1					):
						result *= i
			return result



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			return catalan_number(SCREAMING_SNAKE_CASE_					) * factorial(SCREAMING_SNAKE_CASE_					)


if __name__ == "__main__":
							lowercase_						=       int(input("""Enter the number of nodes: """).strip() or 0)
							if node_count <= 0:
														raise ValueError("""We need some nodes to work with.""")
							print(
							    F'Given {node_count} nodes, there are {binary_tree_count(node_count)} '
							    F'binary trees and {catalan_number(node_count)} binary search trees.'
							)




