






import math

import tensorflow as tf
from packaging import version




def      __A					(     _lowercase ):

					'''simple docstring'''







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

					return x * cdf




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tf.convert_to_tensor(__UpperCamelCase )
					_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(__UpperCamelCase					,			3 )) ))

					return x * cdf




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tf.convert_to_tensor(__UpperCamelCase )

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




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= tf.convert_to_tensor(__UpperCamelCase )
					_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      __A					(     _lowercase ):

					'''simple docstring'''







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




def      __A					(     _lowercase ):

					'''simple docstring'''







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




def      __A					(     _lowercase					,			_lowercase=-1 ):

					'''simple docstring'''







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


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




				def      __A					(     _lowercase ):

									'''simple docstring'''







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

				__A      =				tf.keras.activations.gelu


				__A      =				approximate_gelu_wrap
else:
				__A      =				_gelu
				__A      =				_gelu_new


__A      =				{
    '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      __A					(     _lowercase ):

					'''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() )}""" )











import itertools
import string
from collections.abc import Generator, Iterable




def      __A					(     _lowercase					,			_lowercase ):

					'''simple docstring'''







					_A								= iter(_lowercase )
					while True:
										_A								= tuple(itertools.islice(_lowercase					,			_lowercase ) )
										if not chunk:
															return
										yield chunk




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= ''''''.join([c.upper() for c in dirty if c in string.ascii_letters] )
					_A								= ''''''

					if len(_lowercase ) < 2:
										return dirty

					for i in range(len(_lowercase ) - 1 ):
										clean += dirty[i]

										if dirty[i] == dirty[i + 1]:
															clean += "X"

					clean += dirty[-1]

					if len(_lowercase ) & 1:
										clean += "X"

					return clean




def      __A					(     _lowercase ):

					'''simple docstring'''







					_A								= '''ABCDEFGHIKLMNOPQRSTUVWXYZ'''
					# we're using a list instead of a '2d' array because it makes the math
					# for setting up the table and doing the actual encoding/decoding simpler
					_A								= []

					# copy key chars into the table if they are in `alphabet` ignoring duplicates
					for char in key.upper():
										if char not in table and char in alphabet:
															table.append(_lowercase )

    # fill the rest of the table in with the remaining alphabet chars
					for char in alphabet:
										if char not in table:
															table.append(_lowercase )

					return table




def      __A					(     _lowercase					,			_lowercase ):

					'''simple docstring'''







					_A								= generate_table(_lowercase )
					_A								= prepare_input(_lowercase )
					_A								= ''''''

					# https://en.wikipedia.org/wiki/Playfair_cipher#Description
					for chara, chara in chunker(_lowercase					,			2 ):
										_A							,_A								= divmod(table.index(_lowercase )					,			5 )
										_A							,_A								= divmod(table.index(_lowercase )					,			5 )

										if rowa == rowa:
															ciphertext += table[rowa * 5 + (cola + 1) % 5]
															ciphertext += table[rowa * 5 + (cola + 1) % 5]
										elif cola == cola:
															ciphertext += table[((rowa + 1) % 5) * 5 + cola]
															ciphertext += table[((rowa + 1) % 5) * 5 + cola]
										else:  # rectangle
															ciphertext += table[rowa * 5 + cola]
															ciphertext += table[rowa * 5 + cola]

					return ciphertext




def      __A					(     _lowercase					,			_lowercase ):

					'''simple docstring'''







					_A								= generate_table(_lowercase )
					_A								= ''''''

					# https://en.wikipedia.org/wiki/Playfair_cipher#Description
					for chara, chara in chunker(_lowercase					,			2 ):
										_A							,_A								= divmod(table.index(_lowercase )					,			5 )
										_A							,_A								= divmod(table.index(_lowercase )					,			5 )

										if rowa == rowa:
															plaintext += table[rowa * 5 + (cola - 1) % 5]
															plaintext += table[rowa * 5 + (cola - 1) % 5]
										elif cola == cola:
															plaintext += table[((rowa - 1) % 5) * 5 + cola]
															plaintext += table[((rowa - 1) % 5) * 5 + cola]
										else:  # rectangle
															plaintext += table[rowa * 5 + cola]
															plaintext += table[rowa * 5 + cola]

					return plaintext



