"""simple docstring"""
import math

import tensorflow as tf
from packaging import version





def    lowerCAmelCase__    (			_UpperCamelCase       :				List[Any]					)					->				Optional[int]:





						"""simple docstring"""






						snake_case								=			tf.convert_to_tensor(_UpperCamelCase					)
						snake_case								=			0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0					) ,			x.dtype					)					))

						return x * cdf





def    lowerCAmelCase__    (			_UpperCamelCase       :				Dict					)					->				str:





						"""simple docstring"""






						snake_case								=			tf.convert_to_tensor(_UpperCamelCase					)
						snake_case								=			tf.cast(math.pi ,			x.dtype					)
						snake_case								=			tf.cast(0.04_47_15 ,			x.dtype					)
						snake_case								=			0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi					) * (x + coeff * tf.pow(_UpperCamelCase ,			3					))					))

						return x * cdf





def    lowerCAmelCase__    (			_UpperCamelCase       :				Tuple					)					->				str:





						"""simple docstring"""






						snake_case								=			tf.convert_to_tensor(_UpperCamelCase					)

						return x * tf.tanh(tf.math.softplus(_UpperCamelCase					)					)





def    lowerCAmelCase__    (			_UpperCamelCase       :				Any					)					->				Optional[int]:





						"""simple docstring"""






						snake_case								=			tf.convert_to_tensor(_UpperCamelCase					)
						snake_case								=			tf.cast(0.04_47_15 ,			x.dtype					)
						snake_case								=			tf.cast(0.79_78_84_56_08 ,			x.dtype					)

						return 0.5 * x * (1.0 + tf.tanh(x * coeffa * (1.0 + coeffa * x * x)					))





def    lowerCAmelCase__    (			_UpperCamelCase       :				Optional[int]					)					->				Optional[int]:





						"""simple docstring"""






						snake_case								=			tf.convert_to_tensor(_UpperCamelCase					)
						snake_case								=			tf.cast(1.7_02 ,			x.dtype					)
						return x * tf.math.sigmoid(coeff * x					)





def    lowerCAmelCase__    (			_UpperCamelCase       :				int					)					->				int:





						"""simple docstring"""






						return tf.clip_by_value(_gelu(_UpperCamelCase					) ,			-1_0 ,			1_0					)





def    lowerCAmelCase__    (			_UpperCamelCase       :				Union[str, Any] ,			_UpperCamelCase       :				List[str]=-1					)					->				Union[str, Any]:





						"""simple docstring"""






						snake_case					,snake_case								=			tf.split(_UpperCamelCase ,			2 ,			axis=_UpperCamelCase					)
						return a * tf.math.sigmoid(_UpperCamelCase					)


if version.parse(tf.version.VERSION) >= version.parse("2.4"):





					def    lowerCAmelCase__    (			_UpperCamelCase       :				Any					)					->				Any:





											"""simple docstring"""






											return tf.keras.activations.gelu(_UpperCamelCase ,			approximate=_UpperCamelCase					)

					SCREAMING_SNAKE_CASE__      						=  tf.keras.activations.gelu



					SCREAMING_SNAKE_CASE__      						=  approximate_gelu_wrap
else:
					SCREAMING_SNAKE_CASE__      						=  _gelu
					SCREAMING_SNAKE_CASE__      						=  _gelu_new


SCREAMING_SNAKE_CASE__      						=  {
    "gelu": gelu,
    "gelu_10": gelu_aa,
    "gelu_fast": gelu_fast,
    "gelu_new": gelu_new,
    "glu": glu,
    "mish": mish,
    "quick_gelu": quick_gelu,
    "relu": tf.keras.activations.relu,
    "sigmoid": tf.keras.activations.sigmoid,
    "silu": tf.keras.activations.swish,
    "swish": tf.keras.activations.swish,
    "tanh": tf.keras.activations.tanh,
}





def    lowerCAmelCase__    (			_UpperCamelCase       :				List[str]					)					->				Dict:





						"""simple docstring"""






						if activation_string in ACTaFN:
												return ACTaFN[activation_string]
						else:
												raise KeyError(f"""function {activation_string} not found in ACT2FN mapping {list(ACTaFN.keys()					)}"""					)



"""simple docstring"""
class   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""
				pass





class   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""
				pass





class   lowerCAmelCase_    :



				"""simple docstring"""

				def __init__(				self    ):






										"""simple docstring"""

										snake_case								=			[
										    [],
										    [],
										    [],
										]

				def 		snake_case (				self		,    lowerCAmelCase		,    lowerCAmelCase    ):






										"""simple docstring"""

										try:
																if len(self.queues[priority]    ) >= 1_00:
																						raise OverflowError('Maximum queue size is 100'    )
																self.queues[priority].append(lowerCAmelCase    )
										except IndexError:
																raise ValueError('Valid priorities are 0, 1, and 2'    )

				def 		snake_case (				self    ):






										"""simple docstring"""

										for queue in self.queues:
																if queue:
																						return queue.pop(0    )
										raise UnderFlowError('All queues are empty'    )

				def __str__(				self    ):






										"""simple docstring"""

										return "\n".join(F"""Priority {i}: {q}""" for i, q in enumerate(self.queues    )    )





class   lowerCAmelCase_    :



				"""simple docstring"""

				def __init__(				self    ):






										"""simple docstring"""

										snake_case								=			[]

				def 		snake_case (				self		,    lowerCAmelCase    ):






										"""simple docstring"""

										if len(self.queue    ) == 1_00:
																raise OverFlowError('Maximum queue size is 100'    )
										self.queue.append(lowerCAmelCase    )

				def 		snake_case (				self    ):






										"""simple docstring"""

										if not self.queue:
																raise UnderFlowError('The queue is empty'    )
										else:
																snake_case								=			min(self.queue    )
																self.queue.remove(lowerCAmelCase    )
																return data

				def __str__(				self    ):






										"""simple docstring"""

										return str(self.queue    )





def    lowerCAmelCase__    (			)					->				int:





						"""simple docstring"""






						snake_case								=			FixedPriorityQueue()
						fpq.enqueue(0 ,			1_0					)
						fpq.enqueue(1 ,			7_0					)
						fpq.enqueue(0 ,			1_0_0					)
						fpq.enqueue(2 ,			1					)
						fpq.enqueue(2 ,			5					)
						fpq.enqueue(1 ,			7					)
						fpq.enqueue(2 ,			4					)
						fpq.enqueue(1 ,			6_4					)
						fpq.enqueue(0 ,			1_2_8					)
						print(_UpperCamelCase					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(_UpperCamelCase					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)
						print(fpq.dequeue()					)





def    lowerCAmelCase__    (			)					->				List[str]:





						"""simple docstring"""






						snake_case								=			ElementPriorityQueue()
						epq.enqueue(1_0					)
						epq.enqueue(7_0					)
						epq.enqueue(1_0_0					)
						epq.enqueue(1					)
						epq.enqueue(5					)
						epq.enqueue(7					)
						epq.enqueue(4					)
						epq.enqueue(6_4					)
						epq.enqueue(1_2_8					)
						print(_UpperCamelCase					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(_UpperCamelCase					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)
						print(epq.dequeue()					)


if __name__ == "__main__":
					fixed_priority_queue()
					element_priority_queue()


