




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     A__						(		self   :int ):
										'''simple docstring'''

										__magic_name__	:	List[str]								=torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00] )
										__magic_name__	:	Optional[Any]								=get_activation("""gelu""" )
										self.assertTrue(torch.allclose(gelu_python(__snake_case )    , torch_builtin(__snake_case ) ) )
										self.assertFalse(torch.allclose(gelu_python(__snake_case )    , gelu_new(__snake_case ) ) )

						def     A__						(		self   :List[str] ):
										'''simple docstring'''

										__magic_name__	:	Tuple								=torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00] )
										__magic_name__	:	List[Any]								=get_activation("""gelu""" )
										__magic_name__	:	Dict								=get_activation("""gelu_10""" )

										__magic_name__	:	int								=torch_builtin(__snake_case )
										__magic_name__	:	int								=geluaa(__snake_case )

										__magic_name__	:	Any								=torch.where(y_gelu_aa < 10.0    , 1    , 0 )

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

						def     A__						(		self   :Dict ):
										'''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(__snake_case ):
														get_activation("""bogus""" )
										with self.assertRaises(__snake_case ):
														get_activation(__snake_case )


						def     A__						(		self   :List[str] ):
										'''simple docstring'''

										__magic_name__	:	Any								=get_activation("""gelu""" )
										__magic_name__	:	int								=1
										__magic_name__	:	Dict								=get_activation("""gelu""" )
										self.assertEqual(acta.a    , 1 )
										with self.assertRaises(__snake_case ):
														__magic_name__	:	List[str]								=acta.a










from math import pow, sqrt




def 		lowerCAmelCase_   (	*lowerCamelCase   ):
				__magic_name__	:	Tuple								=len(lowerCamelCase   ) > 0 and all(value > 0.0 for value in values   )
				return result




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(sqrt(molar_mass_a / molar_mass_a   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase   )
				    else ValueError("""Input Error: Molar mass values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(effusion_rate * sqrt(molar_mass_a / molar_mass_a   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(effusion_rate / sqrt(molar_mass_a / molar_mass_a   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(molar_mass / pow(effusion_rate_a / effusion_rate_a	,     2   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(pow(effusion_rate_a / effusion_rate_a	,     2   ) / molar_mass	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




