


'''simple docstring'''

import unittest

import torch
from torch import nn

from diffusers.models.activations import get_activation
class _lowerCamelCase	(						unittest.TestCase							):



		'''simple docstring'''







		def        __lowerCAmelCase		( self		:						int      )  ->			Dict:
			__magic_name__	:   Tuple					     =					get_activation('swish'      )

			self.assertIsInstance(_A  ,					nn.SiLU      )

			self.assertEqual(act(torch.tensor(-100  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertNotEqual(act(torch.tensor(-1  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertEqual(act(torch.tensor(0  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertEqual(act(torch.tensor(20  ,					dtype=torch.floataa      )      ).item()  ,					20      )







		def        __lowerCAmelCase		( self		:						Optional[int]      )  ->			List[str]:
			__magic_name__	:   Any					     =					get_activation('silu'      )

			self.assertIsInstance(_A  ,					nn.SiLU      )

			self.assertEqual(act(torch.tensor(-100  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertNotEqual(act(torch.tensor(-1  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertEqual(act(torch.tensor(0  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertEqual(act(torch.tensor(20  ,					dtype=torch.floataa      )      ).item()  ,					20      )







		def        __lowerCAmelCase		( self		:						List[str]      )  ->			Union[str, Any]:
			__magic_name__	:   List[str]					     =					get_activation('mish'      )

			self.assertIsInstance(_A  ,					nn.Mish      )

			self.assertEqual(act(torch.tensor(-200  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertNotEqual(act(torch.tensor(-1  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertEqual(act(torch.tensor(0  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertEqual(act(torch.tensor(20  ,					dtype=torch.floataa      )      ).item()  ,					20      )







		def        __lowerCAmelCase		( self		:						Dict      )  ->			List[Any]:
			__magic_name__	:   List[Any]					     =					get_activation('gelu'      )

			self.assertIsInstance(_A  ,					nn.GELU      )

			self.assertEqual(act(torch.tensor(-100  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertNotEqual(act(torch.tensor(-1  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertEqual(act(torch.tensor(0  ,					dtype=torch.floataa      )      ).item()  ,					0      )
			self.assertEqual(act(torch.tensor(20  ,					dtype=torch.floataa      )      ).item()  ,					20      )



'''simple docstring'''

import math





def lowerCamelCase      (      lowerCAmelCase    :     float		,		lowerCAmelCase    :     float		):





	"""simple docstring"""







	return math.pow(lowerCAmelCase		,		2		) - a





def lowerCamelCase      (      lowerCAmelCase    :     float		):





	"""simple docstring"""







	return 2 * x





def lowerCamelCase      (      lowerCAmelCase    :     float		):





	"""simple docstring"""







	__magic_name__	:   List[Any]					     =					2.0

	while start <= a:
		__magic_name__	:   List[str]					     =					math.pow(lowerCAmelCase		,		2		)

	return start





def lowerCamelCase      (      lowerCAmelCase    :     float		,		lowerCAmelCase    :     int = 9999		,		lowerCAmelCase    :     float = 0.00_0000_0000_0001		):





	"""simple docstring"""







	if a < 0:
		raise ValueError('math domain error'		)

	__magic_name__	:   Any					     =					get_initial_point(lowerCAmelCase		)

	for _ in range(lowerCAmelCase		):
		__magic_name__	:   List[str]					     =					value
		__magic_name__	:   Optional[int]					     =					value - fx(lowerCAmelCase		,		lowerCAmelCase		) / fx_derivative(lowerCAmelCase		)
		if abs(prev_value - value		) < tolerance:
			return value

	return value


if __name__ == "__main__":
							from doctest import testmod

							testmod()