





'''simple docstring'''




from __future__ import annotations






class 				__snake_case     :





	def __init__(		self      ,       UpperCamelCase_=None		)      ->		Optional[Any]:
		snake_case__	       =   data
		snake_case__	       =   None





	def __repr__(		self		)      ->		Tuple:
		snake_case__	       =   []
		snake_case__	       =   self
		while temp:
			string_rep.append(F'''{temp.data}'''		)
			snake_case__	       =   temp.next
		return "->".join(__a		)





def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->Any:




	if not elements_list:
		raise Exception('The Elements List is empty'							)

	snake_case__	       =   snake_case__	       =   Node(elements_list[0]							)
	for i in range(1					,				len(_UpperCamelCase							)							):
		snake_case__	       =   Node(elements_list[i]							)
		snake_case__	       =   current.next
	return head




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->List[str]:




	if head_node is not None and isinstance(_UpperCamelCase					,				_UpperCamelCase							):
		print_reverse(head_node.next							)
		print(head_node.data							)




def 						__lowerCamelCase			(	)   ->Union[str, Any]:
	from doctest import testmod

	testmod()

	snake_case__	       =   make_linked_list([14, 52, 14, 12, 43]							)
	print('Linked List:'							)
	print(_UpperCamelCase							)
	print('Elements in Reverse:'							)
	print_reverse(_UpperCamelCase							)


if __name__ == "__main__":
			main()







"""simple docstring"""


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     _UpperCamelCase    (  unittest.TestCase						):
							'''simple docstring'''







							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										self.assertTrue(torch.allclose(gelu_python(__a      )       ,  torch_builtin(__a      )      )      )
										self.assertFalse(torch.allclose(gelu_python(__a      )       ,  gelu_new(__a      )      )      )

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     get_activation("gelu_10"      )

										__lowerCAmelCase							       =     torch_builtin(__a      )
										__lowerCAmelCase							       =     geluaa(__a      )

										__lowerCAmelCase							       =     torch.where(y_gelu_aa < 1_0.0       ,  1       ,  0      )

										self.assertTrue(torch.max(__a      ).item() == 1_0.0      )
										self.assertTrue(torch.allclose(y_gelu * clipped_mask       ,  y_gelu_aa * clipped_mask      )      )

							def      snake_case							(	self      ):
										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      snake_case							(	self      ):
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     1
										__lowerCAmelCase							       =     get_activation("gelu"      )
										self.assertEqual(acta.a       ,  1      )
										with self.assertRaises(__a      ):
													__lowerCAmelCase							       =     acta.a




