




class 		__A   :

						def __init__(		self :Optional[int]     ,			__snake_case :int			):
										'''simple docstring'''

										__magic_name__						:						Optional[Any]										=size
										__magic_name__						:						Union[str, Any]										=[0] * size
										__magic_name__						:						Optional[int]										=[0] * size

						@staticmethod
						def      A__    (		__snake_case :int			):
										'''simple docstring'''

										return index | (index + 1)

						@staticmethod
						def      A__    (		__snake_case :int			):
										'''simple docstring'''

										return (index & (index + 1)) - 1

						def      A__    (		self :Optional[Any]     ,			__snake_case :int     ,			__snake_case :int			):
										'''simple docstring'''

										__magic_name__						:						Optional[int]										=value
										while index < self.size:
														__magic_name__						:						List[Any]										=self.get_prev(__snake_case			) + 1
														if current_left_border == index:
																		__magic_name__						:						str										=value
														else:
																		__magic_name__						:						Tuple										=max(__snake_case     ,			__snake_case     ,			__snake_case			)
														__magic_name__						:						Tuple										=self.get_next(__snake_case			)


						def      A__    (		self :List[Any]     ,			__snake_case :int     ,			__snake_case :int			):
										'''simple docstring'''

										right -= 1  # Because of right is exclusive
										__magic_name__						:						Optional[Any]										=0
										while left <= right:
														__magic_name__						:						int										=self.get_prev(__snake_case			)
														if left <= current_left:
																		__magic_name__						:						str										=max(__snake_case     ,			self.tree[right]			)
																		__magic_name__						:						int										=current_left
														else:
																		__magic_name__						:						int										=max(__snake_case     ,			self.arr[right]			)
																		right -= 1
										return result


if __name__ == "__main__":
							import doctest

							doctest.testmod()










import math

import tensorflow as tf
from packaging import version




def 		lowerCAmelCase_ (						lowerCamelCase ):
				__magic_name__						:						str										=tf.convert_to_tensor(lowerCamelCase )
				__magic_name__						:						List[str]										=0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0 )						,  x.dtype ) ))

				return x * cdf




def 		lowerCAmelCase_ (						lowerCamelCase ):
				__magic_name__						:						str										=tf.convert_to_tensor(lowerCamelCase )
				__magic_name__						:						Optional[Any]										=tf.cast(math.pi						,  x.dtype )
				__magic_name__						:						int										=tf.cast(0.0_4_4_7_1_5						,  x.dtype )
				__magic_name__						:						Tuple										=0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi ) * (x + coeff * tf.pow(lowerCamelCase						,  3 )) ))

				return x * cdf




def 		lowerCAmelCase_ (						lowerCamelCase ):
				__magic_name__						:						Any										=tf.convert_to_tensor(lowerCamelCase )

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




def 		lowerCAmelCase_ (						lowerCamelCase ):
				__magic_name__						:						Optional[Any]										=tf.convert_to_tensor(lowerCamelCase )
				__magic_name__						:						Union[str, Any]										=tf.cast(0.0_4_4_7_1_5						,  x.dtype )
				__magic_name__						:						Tuple										=tf.cast(0.7_9_7_8_8_4_5_6_0_8						,  x.dtype )

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




def 		lowerCAmelCase_ (						lowerCamelCase ):
				__magic_name__						:						List[str]										=tf.convert_to_tensor(lowerCamelCase )
				__magic_name__						:						Dict										=tf.cast(1.7_0_2						,  x.dtype )
				return x * tf.math.sigmoid(coeff * x )




def 		lowerCAmelCase_ (						lowerCamelCase ):
				return tf.clip_by_value(_gelu(lowerCamelCase )						,  -10						,  10 )




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase=-1 ):
				__magic_name__					,			__magic_name__						:						List[Any]										=tf.split(lowerCamelCase						,  2						,  axis=lowerCamelCase )
				return a * tf.math.sigmoid(lowerCamelCase )


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




							def 		lowerCAmelCase_ (						lowerCamelCase ):
											return tf.keras.activations.gelu(lowerCamelCase						,  approximate=lowerCamelCase )

							UpperCAmelCase_		:					List[str]          =  tf.keras.activations.gelu



							UpperCAmelCase_		:					Dict          =  approximate_gelu_wrap
else:
							UpperCAmelCase_		:					Dict          =  _gelu
							UpperCAmelCase_		:					str          =  _gelu_new


UpperCAmelCase_		:					Any          =  {
    "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_ (						lowerCamelCase ):
				if activation_string in ACTaFN:
								return ACTaFN[activation_string]
				else:
								raise KeyError(F"function {activation_string} not found in ACT2FN mapping {list(ACTaFN.keys() )}" )




