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 	__lowercase(      self     :	int				)->       List[Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				Any			=		torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]				)
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		get_activation('gelu'				)
       self.assertTrue(torch.allclose(gelu_python(a_				)     , torch_builtin(a_				)				)				)
       self.assertFalse(torch.allclose(gelu_python(a_				)     , gelu_new(a_				)				)				)




  def 	__lowercase(      self     :	List[Any]				)->       List[Any]:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]				)
       SCREAMING_SNAKE_CASE__				:				List[str]			=		get_activation('gelu'				)
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		get_activation('gelu_10'				)

       SCREAMING_SNAKE_CASE__				:				List[Any]			=		torch_builtin(a_				)
       SCREAMING_SNAKE_CASE__				:				Dict			=		geluaa(a_				)

       SCREAMING_SNAKE_CASE__				:				List[str]			=		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 	__lowercase(      self     :	Optional[int]				)->       List[Any]:




       """simple docstring"""
       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 	__lowercase(      self     :	str				)->       str:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				str			=		get_activation('gelu'				)
       SCREAMING_SNAKE_CASE__				:				Tuple			=		1
       SCREAMING_SNAKE_CASE__				:				int			=		get_activation('gelu'				)
       self.assertEqual(acta.a     , 1				)
       with self.assertRaises(a_				):
            SCREAMING_SNAKE_CASE__				:				Tuple			=		acta.a




from math import factorial, radians







def     _a				(      lowercase__  :			float     ,  lowercase__  :			int = 18     ,  lowercase__  :			int = 10 ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		angle_in_degrees - ((angle_in_degrees // 360.0) * 360.0)

     # Converting from degrees to radians
     SCREAMING_SNAKE_CASE__				:				int			=		radians(lowercase__ )

     SCREAMING_SNAKE_CASE__				:				List[Any]			=		angle_in_radians
     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		3
     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		-1

     for _ in range(lowercase__ ):
          result += (b * (angle_in_radians**a)) / factorial(lowercase__ )

          SCREAMING_SNAKE_CASE__				:				Any			=		-b  # One positive term and the next will be negative and so on...
          a += 2  # Increased by 2 for every term.

     return round(lowercase__     ,  lowercase__ )


if __name__ == "__main__":
      __import__("doctest").testmod()



