



"""simple docstring"""
import math

import tensorflow as tf
from packaging import version



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

		return x * cdf



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      Dict:
		a_     :      int 						=     tf.convert_to_tensor(SCREAMING_SNAKE_CASE__	)
		a_     :      Optional[int] 						=     tf.cast(math.pi, x.dtype	)
		a_     :      Optional[Any] 						=     tf.cast(0.04_47_15, x.dtype	)
		a_     :      Any 						=     0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi	) * (x + coeff * tf.pow(SCREAMING_SNAKE_CASE__, 3	))	))

		return x * cdf



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      Optional[int]:
		a_     :      Union[str, Any] 						=     tf.convert_to_tensor(SCREAMING_SNAKE_CASE__	)

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



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      Optional[Any]:
		a_     :      Dict 						=     tf.convert_to_tensor(SCREAMING_SNAKE_CASE__	)
		a_     :      List[str] 						=     tf.cast(0.04_47_15, x.dtype	)
		a_     :      str 						=     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        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      Tuple:
		a_     :      Union[str, Any] 						=     tf.convert_to_tensor(SCREAMING_SNAKE_CASE__	)
		a_     :      str 						=     tf.cast(1.7_02, x.dtype	)
		return x * tf.math.sigmoid(coeff * x	)



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      Optional[int]:
		return tf.clip_by_value(_gelu(SCREAMING_SNAKE_CASE__	), -10, 10	)



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__=-1	)			->      Optional[int]:
		a_						,				a_     :      Union[str, Any] 						=     tf.split(SCREAMING_SNAKE_CASE__, 2, axis=SCREAMING_SNAKE_CASE__	)
		return a * tf.math.sigmoid(SCREAMING_SNAKE_CASE__	)


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



					def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      Tuple:
							return tf.keras.activations.gelu(SCREAMING_SNAKE_CASE__, approximate=SCREAMING_SNAKE_CASE__	)

					SCREAMING_SNAKE_CASE_				= tf.keras.activations.gelu
					SCREAMING_SNAKE_CASE_				= approximate_gelu_wrap
else:
					SCREAMING_SNAKE_CASE_				= _gelu
					SCREAMING_SNAKE_CASE_				= _gelu_new


SCREAMING_SNAKE_CASE_				= {
    """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_						(							SCREAMING_SNAKE_CASE__	)			->      Optional[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()	)}"""	)




"""simple docstring"""
SCREAMING_SNAKE_CASE_				= 0  # The first color of the flag.
SCREAMING_SNAKE_CASE_				= 1  # The second color of the flag.
SCREAMING_SNAKE_CASE_				= 2  # The third color of the flag.
SCREAMING_SNAKE_CASE_				= (red, white, blue)



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      list:
		if not sequence:
				return []
		if len(SCREAMING_SNAKE_CASE__	) == 1:
				return list(SCREAMING_SNAKE_CASE__	)
		a_     :      Dict 						=     0
		a_     :      List[Any] 						=     len(SCREAMING_SNAKE_CASE__	) - 1
		a_     :      str 						=     0
		while mid <= high:
				if sequence[mid] == colors[0]:
						a_						,				a_     :      int 						=     sequence[mid], sequence[low]
						low += 1
						mid += 1
				elif sequence[mid] == colors[1]:
						mid += 1
				elif sequence[mid] == colors[2]:
						a_						,				a_     :      List[Any] 						=     sequence[high], sequence[mid]
						high -= 1
				else:
						a_     :      Dict 						=     F"""The elements inside the sequence must contains only {colors} values"""
						raise ValueError(SCREAMING_SNAKE_CASE__	)
		return sequence


if __name__ == "__main__":
					import doctest

					doctest.testmod()

					SCREAMING_SNAKE_CASE_				= input("""Enter numbers separated by commas:\n""").strip()
					SCREAMING_SNAKE_CASE_				= [int(item.strip()) for item in user_input.split(""",""")]
					print(F"""{dutch_national_flag_sort(unsorted)}""")