






"""simple docstring"""






import math

import tensorflow as tf
from packaging import version



def  __lowerCamelCase					(					lowerCAmelCase__				):
				A__							 =       tf.convert_to_tensor(lowerCAmelCase__				)
				A__							 =       0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0				)       ,x.dtype				)				))

				return x * cdf



def  __lowerCamelCase					(					lowerCAmelCase__				):
				A__							 =       tf.convert_to_tensor(lowerCAmelCase__				)
				A__							 =       tf.cast(math.pi       ,x.dtype				)
				A__							 =       tf.cast(0.0_4_4_7_1_5       ,x.dtype				)
				A__							 =       0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi				) * (x + coeff * tf.pow(lowerCAmelCase__       ,3				))				))

				return x * cdf



def  __lowerCamelCase					(					lowerCAmelCase__				):
				A__							 =       tf.convert_to_tensor(lowerCAmelCase__				)

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



def  __lowerCamelCase					(					lowerCAmelCase__				):
				A__							 =       tf.convert_to_tensor(lowerCAmelCase__				)
				A__							 =       tf.cast(0.0_4_4_7_1_5       ,x.dtype				)
				A__							 =       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__				):
				A__							 =       tf.convert_to_tensor(lowerCAmelCase__				)
				A__							 =       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				):
				A__ ,			A__							 =       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__				)

	SCREAMING_SNAKE_CASE						:						Any					   =       tf.keras.activations.gelu







	SCREAMING_SNAKE_CASE						:						Tuple					   =       approximate_gelu_wrap
else:
	SCREAMING_SNAKE_CASE						:						str					   =       _gelu
	SCREAMING_SNAKE_CASE						:						Tuple					   =       _gelu_new


SCREAMING_SNAKE_CASE						:						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  __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()				)}'''				)










"""simple docstring"""






from __future__ import annotations



def  __lowerCamelCase					(					lowerCAmelCase__       ,lowerCAmelCase__ = None				):
				A__							 =       word_bank or []
				# create a table
				A__							 =       len(lowerCAmelCase__				) + 1

				A__							 =       []
				for _ in range(lowerCAmelCase__				):
								table.append([]				)
				# seed value
				A__							 =       [[]]  # because empty string has empty combination

				# iterate through the indices
				for i in range(lowerCAmelCase__				):
								# condition
								if table[i] != []:
												for word in word_bank:
																# slice condition
																if target[i : i + len(lowerCAmelCase__				)] == word:
																				A__							 =       [
																				    [word, *way] for way in table[i]
																				]
																				# adds the word to every combination the current position holds
																				# now,push that combination to the table[i+len(word)]
																				table[i + len(lowerCAmelCase__				)] += new_combinations

    # combinations are in reverse order so reverse for better output
				for combination in table[len(lowerCAmelCase__				)]:
								combination.reverse()

				return table[len(lowerCAmelCase__				)]


if __name__ == "__main__":
					print(all_construct('''jwajalapa''', ['''jwa''', '''j''', '''w''', '''a''', '''la''', '''lapa''']))
					print(all_construct('''rajamati''', ['''s''', '''raj''', '''amat''', '''raja''', '''ma''', '''i''', '''t''']))
					print(
					    all_construct(
					        '''hexagonosaurus''',
					        ['''h''', '''ex''', '''hex''', '''ag''', '''ago''', '''ru''', '''auru''', '''rus''', '''go''', '''no''', '''o''', '''s'''],
					    )
					)


