



'''simple docstring'''

import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
							import tensorflow as tf

							from transformers.activations_tf import get_tf_activation







@require_tf
class 			__magic_name__		(					unittest.TestCase     ):







							def 							__lowercase    (							self      : List[str]	):
									_a  :   Any				 =							tf.constant([-100, -1.0, -0.1, 0, 0.1, 1.0, 100.0]	)
									_a  :   Dict				 =							get_tf_activation('gelu'	)
									_a  :   Optional[int]				 =							get_tf_activation('gelu_10'	)

									_a  :   Dict				 =							gelu(_UpperCAmelCase	)
									_a  :   int				 =							geluaa(_UpperCAmelCase	)

									_a  :   str				 =							tf.where(y_gelu_aa < 10.0			,1.0			,0.0	)

									self.assertEqual(tf.math.reduce_max(_UpperCAmelCase	).numpy().item()			,10.0	)
									self.assertTrue(np.allclose(y_gelu * clipped_mask			,y_gelu_aa * clipped_mask	)	)







							def 							__lowercase    (							self      : Union[str, Any]	):
									get_tf_activation('gelu'	)
									get_tf_activation('gelu_10'	)
									get_tf_activation('gelu_fast'	)
									get_tf_activation('gelu_new'	)
									get_tf_activation('glu'	)
									get_tf_activation('mish'	)
									get_tf_activation('quick_gelu'	)
									get_tf_activation('relu'	)
									get_tf_activation('sigmoid'	)
									get_tf_activation('silu'	)
									get_tf_activation('swish'	)
									get_tf_activation('tanh'	)
									with self.assertRaises(_UpperCAmelCase	):
											get_tf_activation('bogus'	)
									with self.assertRaises(_UpperCAmelCase	):
											get_tf_activation(_UpperCAmelCase	)









'''simple docstring'''

from __future__ import annotations

# Define the Gravitational Constant G and the function
__lowerCAmelCase		    =     6.6743e-11  # unit of G : m^3 * kg^-1 * s^-2



def   __lowerCamelCase  (   lowerCAmelCase_		,    lowerCAmelCase_		,    lowerCAmelCase_		,    lowerCAmelCase_						)    ->   dict[str, float]:
		_a  :   str				 =							mass_a * mass_a

		if (force, mass_a, mass_a, distance).count(0						) != 1:
				raise ValueError('One and only one argument must be 0'						)
		if force < 0:
				raise ValueError('Gravitational force can not be negative'						)
		if distance < 0:
				raise ValueError('Distance can not be negative'						)
		if mass_a < 0 or mass_a < 0:
				raise ValueError('Mass can not be negative'						)
		if force == 0:
				_a  :   List[Any]				 =							GRAVITATIONAL_CONSTANT * product_of_mass / (distance**2)
				return {"force": force}
		elif mass_a == 0:
				_a  :   Any				 =							(force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
				return {"mass_1": mass_a}
		elif mass_a == 0:
				_a  :   Tuple				 =							(force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
				return {"mass_2": mass_a}
		elif distance == 0:
				_a  :   str				 =							(GRAVITATIONAL_CONSTANT * product_of_mass / (force)) ** 0.5
				return {"distance": distance}
		raise ValueError('One and only one argument must be 0'						)


# Run doctest
if __name__ == "__main__":
							import doctest

							doctest.testmod()




