


import math

import tensorflow as tf
from packaging import version



def 			lowerCAmelCase (		lowerCAmelCase_ )-> Dict:
				lowerCAmelCase_ :      Optional[int]    				=				tf.convert_to_tensor(_lowercase )
				lowerCAmelCase_ :      str    				=				0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0 ) ,   x.dtype ) ))

				return x * cdf



def 			lowerCAmelCase (		lowerCAmelCase_ )-> Union[str, Any]:
				lowerCAmelCase_ :      List[str]    				=				tf.convert_to_tensor(_lowercase )
				lowerCAmelCase_ :      str    				=				tf.cast(math.pi ,   x.dtype )
				lowerCAmelCase_ :      Union[str, Any]    				=				tf.cast(0.044715 ,   x.dtype )
				lowerCAmelCase_ :      Any    				=				0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi ) * (x + coeff * tf.pow(_lowercase ,   3 )) ))

				return x * cdf



def 			lowerCAmelCase (		lowerCAmelCase_ )-> Dict:
				lowerCAmelCase_ :      List[Any]    				=				tf.convert_to_tensor(_lowercase )

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



def 			lowerCAmelCase (		lowerCAmelCase_ )-> List[Any]:
				lowerCAmelCase_ :      List[str]    				=				tf.convert_to_tensor(_lowercase )
				lowerCAmelCase_ :      Dict    				=				tf.cast(0.044715 ,   x.dtype )
				lowerCAmelCase_ :      Tuple    				=				tf.cast(0.7978845608 ,   x.dtype )

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



def 			lowerCAmelCase (		lowerCAmelCase_ )-> Optional[Any]:
				lowerCAmelCase_ :      List[str]    				=				tf.convert_to_tensor(_lowercase )
				lowerCAmelCase_ :      Optional[int]    				=				tf.cast(1.702 ,   x.dtype )
				return x * tf.math.sigmoid(coeff * x )



def 			lowerCAmelCase (		lowerCAmelCase_ )-> List[Any]:
				return tf.clip_by_value(_gelu(_lowercase ) ,   -10 ,   10 )



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_=-1 )-> Dict:
				lowerCAmelCase_				,  lowerCAmelCase_ :      Tuple    				=				tf.split(_lowercase ,   2 ,   axis=_lowercase )
				return a * tf.math.sigmoid(_lowercase )


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



	def 			lowerCAmelCase (		lowerCAmelCase_ )-> Union[str, Any]:
					return tf.keras.activations.gelu(_lowercase ,   approximate=_lowercase )

	_UpperCAmelCase			:  Union[str, Any]     =tf.keras.activations.gelu




	_UpperCAmelCase			:  Tuple     =approximate_gelu_wrap
else:
	_UpperCAmelCase			:  Tuple     =_gelu
	_UpperCAmelCase			:  Union[str, Any]     =_gelu_new


_UpperCAmelCase			:  str     ={
    """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_ )-> int:







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



_UpperCAmelCase			:  Dict     =[
    (1000, """M"""),
    (900, """CM"""),
    (500, """D"""),
    (400, """CD"""),
    (100, """C"""),
    (90, """XC"""),
    (50, """L"""),
    (40, """XL"""),
    (10, """X"""),
    (9, """IX"""),
    (5, """V"""),
    (4, """IV"""),
    (1, """I"""),
]



def 			lowerCAmelCase (		lowerCAmelCase_ )-> int:
				lowerCAmelCase_ :      Any    				=				{'''I''': 1, '''V''': 5, '''X''': 10, '''L''': 50, '''C''': 100, '''D''': 500, '''M''': 1_000}
				lowerCAmelCase_ :      Optional[int]    				=				0
				lowerCAmelCase_ :      List[str]    				=				0
				while place < len(lowerCAmelCase_ ):
								if (place + 1 < len(lowerCAmelCase_ )) and (vals[roman[place]] < vals[roman[place + 1]]):
												total += vals[roman[place + 1]] - vals[roman[place]]
												place += 2
								else:
												total += vals[roman[place]]
												place += 1
				return total



def 			lowerCAmelCase (		lowerCAmelCase_ )-> str:
				lowerCAmelCase_ :      List[Any]    				=				[]
				for arabic, roman in ROMAN:
								((lowerCAmelCase_)				,  (lowerCAmelCase_)) :      Optional[int]    				=				divmod(lowerCAmelCase_ ,   lowerCAmelCase_ )
								result.append(roman * factor )
								if number == 0:
												break
				return "".join(lowerCAmelCase_ )


if __name__ == "__main__":
						import doctest

						doctest.testmod()