




import math

import tensorflow as tf
from packaging import version




def 			__magic_name__				( A		:					Any   ):






			'''simple docstring'''







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

			return x * cdf




def 			__magic_name__				( A		:					List[Any]   ):






			'''simple docstring'''







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

			return x * cdf




def 			__magic_name__				( A		:					Optional[int]   ):






			'''simple docstring'''







			a    =			tf.convert_to_tensor(A   )

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




def 			__magic_name__				( A		:					Optional[Any]   ):






			'''simple docstring'''







			a    =			tf.convert_to_tensor(A   )
			a    =			tf.cast(0.04_47_15,  x.dtype   )
			a    =			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 			__magic_name__				( A		:					Dict   ):






			'''simple docstring'''







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




def 			__magic_name__				( A		:					int   ):






			'''simple docstring'''







			return tf.clip_by_value(_gelu(A   ),  -10,  10   )




def 			__magic_name__				( A		:					Optional[Any],  A		:					int=-1   ):






			'''simple docstring'''







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


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




		def 			__magic_name__				( A		:					List[str]   ):






					'''simple docstring'''







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

		__lowerCAmelCase		:				Optional[Any]       			=		tf.keras.activations.gelu






		__lowerCAmelCase		:				Optional[int]       			=		approximate_gelu_wrap
else:
		__lowerCAmelCase		:				Union[str, Any]       			=		_gelu
		__lowerCAmelCase		:				Any       			=		_gelu_new


__lowerCAmelCase		:				Dict       			=		{
    '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 			__magic_name__				( A		:					Optional[int]   ):






			'''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()   )}"""   )












def 			__magic_name__				( A		:					str   ):






			'''simple docstring'''







			a    =			""
			for ch in key:
						if ch == " " or ch not in key_no_dups and ch.isalpha():
									key_no_dups += ch
			return key_no_dups




def 			__magic_name__				( A		:					str   ):






			'''simple docstring'''







			a    =			[chr(i + 65   ) for i in range(26   )]
			# Remove duplicate characters from key
			a    =			remove_duplicates(key.upper()   )
			a    =			len(A   )
			# First fill cipher with key characters
			a    =			{alphabet[i]: char for i, char in enumerate(A   )}
			# Then map remaining characters in alphabet to
			# the alphabet from the beginning
			for i in range(len(A   ),  26   ):
						a    =			alphabet[i - offset]
						# Ensure we are not mapping letters to letters previously mapped
						while char in key:
									offset -= 1
									a    =			alphabet[i - offset]
						a    =			char
			return cipher_alphabet




def 			__magic_name__				( A		:					str,  A		:					dict[str, str]   ):






			'''simple docstring'''







			return "".join(cipher_map.get(A,  A   ) for ch in message.upper()   )




def 			__magic_name__				( A		:					str,  A		:					dict[str, str]   ):






			'''simple docstring'''







			a    =			{v: k for k, v in cipher_map.items()}
			return "".join(rev_cipher_map.get(A,  A   ) for ch in message.upper()   )




def 			__magic_name__				( ):






			'''simple docstring'''







			a    =			input("Enter message to encode or decode: "   ).strip()
			a    =			input("Enter keyword: "   ).strip()
			a    =			input("Encipher or decipher? E/D:"   ).strip()[0].lower()
			try:
						a    =			{"e": encipher, "d": decipher}[option]
			except KeyError:
						raise KeyError("invalid input option"   )
			a    =			create_cipher_map(A   )
			print(func(A,  A   )   )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()






