


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 		__a				(    unittest.TestCase      ):
		def      UpperCAmelCase__    (      self						)			->	Any:




									"""simple docstring"""





									_UpperCAmelCase					=      torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]						)
									_UpperCAmelCase					=      get_activation('gelu'						)
									self.assertTrue(torch.allclose(gelu_python(_SCREAMING_SNAKE_CASE						)      ,   torch_builtin(_SCREAMING_SNAKE_CASE						)						)						)
									self.assertFalse(torch.allclose(gelu_python(_SCREAMING_SNAKE_CASE						)      ,   gelu_new(_SCREAMING_SNAKE_CASE						)						)						)
		def      UpperCAmelCase__    (      self						)			->	Tuple:




									"""simple docstring"""





									_UpperCAmelCase					=      torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]						)
									_UpperCAmelCase					=      get_activation('gelu'						)
									_UpperCAmelCase					=      get_activation('gelu_10'						)

									_UpperCAmelCase					=      torch_builtin(_SCREAMING_SNAKE_CASE						)
									_UpperCAmelCase					=      geluaa(_SCREAMING_SNAKE_CASE						)

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

									self.assertTrue(torch.max(_SCREAMING_SNAKE_CASE						).item() == 10.0						)
									self.assertTrue(torch.allclose(y_gelu * clipped_mask      ,   y_gelu_aa * clipped_mask						)						)
		def      UpperCAmelCase__    (      self						)			->	Optional[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(_SCREAMING_SNAKE_CASE						):
																get_activation('bogus'						)
									with self.assertRaises(_SCREAMING_SNAKE_CASE						):
																get_activation(_SCREAMING_SNAKE_CASE						)






		def      UpperCAmelCase__    (      self						)			->	Optional[Any]:




									"""simple docstring"""





									_UpperCAmelCase					=      get_activation('gelu'						)
									_UpperCAmelCase					=      1
									_UpperCAmelCase					=      get_activation('gelu'						)
									self.assertEqual(acta.a      ,   1						)
									with self.assertRaises(_SCREAMING_SNAKE_CASE						):
																_UpperCAmelCase					=      acta.a




import math
import random

def 	lowerCAmelCase__			(      a__:		float      ,  a__:		bool = False	)  ->		float:


							'''simple docstring'''





							if deriv:
														return value * (1 - value)
							return 1 / (1 + math.exp(-value	))


# Initial Value
lowerCAmelCase__  :Optional[Any]             =							0.02

def 	lowerCAmelCase__			(      a__:		int      ,  a__:		int	)  ->		float:


							'''simple docstring'''





							_UpperCAmelCase					=      float(2 * (random.randint(1      ,  1_0_0	)) - 1	)

							for _ in range(a__	):
														# Forward propagation
														_UpperCAmelCase					=      sigmoid_function(INITIAL_VALUE * weight	)
														# How much did we miss?
														_UpperCAmelCase					=      (expected / 1_0_0) - layer_a
														# Error delta
														_UpperCAmelCase					=      layer_1_error * sigmoid_function(a__      ,  a__	)
														# Update weight
														weight += INITIAL_VALUE * layer_1_delta

							return layer_a * 1_0_0


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		lowerCAmelCase__  :List[Any]             =							int(input('''Expected value: '''))
		lowerCAmelCase__  :Any             =							int(input('''Number of propagations: '''))
		print(forward_propagation(expected, number_propagations))
