





import argparse
from collections import defaultdict





def 	lowerCAmelCase_					(			__a      ,       __a      ,       __a      ,       __a      ,       __a						)	->						Optional[int]:







  """simple docstring"""





  lowerCamelCase__: str         =F"""{file}_{class_name}_{test_name}"""
  done_test[_id] += 1

  with open(__a      ,       "r"						) as f:
    lowerCamelCase__: Optional[int]         =f.readlines()

  lowerCamelCase__: List[str]         =F"""class {class_name}("""
  lowerCamelCase__: Any         =F"""{4 * " "}def {test_name}("""
  lowerCamelCase__: Dict         =F"""{8 * " "}{correct_line.split()[0]}"""
  lowerCamelCase__: Any         =F"""{16 * " "}{correct_line.split()[0]}"""
  lowerCamelCase__: Tuple         =False
  lowerCamelCase__: List[str]         =False
  lowerCamelCase__: List[Any]         =False
  lowerCamelCase__: int         =False
  lowerCamelCase__: Optional[int]         =0
  lowerCamelCase__: Optional[Any]         =0

  lowerCamelCase__: List[str]         =[]
  for line in lines:
    if line.startswith(__a						):
      lowerCamelCase__: List[str]         =True
    elif in_class and line.startswith(__a						):
      lowerCamelCase__: Dict         =True
    elif in_class and in_func and (line.startswith(__a						) or line.startswith(__a						)):
      lowerCamelCase__: int         =len(line.split(correct_line.split()[0]						)[0]						)
      count += 1

      if count == done_test[_id]:
        lowerCamelCase__: Dict         =True

    if in_class and in_func and in_line:
      if ")" not in line:
        continue
      else:
        lowerCamelCase__: Union[str, Any]         =True

    if in_class and in_func and in_line and insert_line:
      new_lines.append(F"""{spaces * " "}{correct_line}"""						)
      lowerCamelCase__: Any         =False
    else:
      new_lines.append(__a						)

  with open(__a      ,       "w"						) as f:
    for line in new_lines:
      f.write(__a						)





def 	lowerCAmelCase_					(			__a      ,       __a=None						)	->						int:







  """simple docstring"""





  if fail is not None:
    with open(__a      ,       "r"						) as f:
      lowerCamelCase__: str         ={l.strip() for l in f.readlines()}
  else:
    lowerCamelCase__: List[str]         =None

  with open(__a      ,       "r"						) as f:
    lowerCamelCase__: Any         =f.readlines()

  lowerCamelCase__: str         =defaultdict(__a						)
  for line in correct_lines:
    lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__    ,   lowerCamelCase__: Optional[Any]         =line.split(";"						)
    if test_failures is None or "::".join([file, class_name, test_name]						) in test_failures:
      overwrite_file(__a      ,       __a      ,       __a      ,       __a      ,       __a						)


if __name__ == "__main__":
     __A							   =							argparse.ArgumentParser()
     parser.add_argument("--correct_filename", help="filename of tests with expected result")
     parser.add_argument("--fail_filename", help="filename of test failures", type=str, default=None)
     __A							   =							parser.parse_args()

     main(args.correct_filename, args.fail_filename)





import math

import tensorflow as tf
from packaging import version






def 	__lowerCamelCase						(							lowerCamelCase__		:						Any      ):





			'''simple docstring'''




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

			return x * cdf






def 	__lowerCamelCase						(							lowerCamelCase__		:						List[str]      ):





			'''simple docstring'''




			lowerCamelCase    		=  tf.convert_to_tensor(lowerCamelCase__      )
			lowerCamelCase    		=  tf.cast(math.pi  ,							x.dtype      )
			lowerCamelCase    		=  tf.cast(0.0_4_4_7_1_5  ,							x.dtype      )
			lowerCamelCase    		=  0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi      ) * (x + coeff * tf.pow(lowerCamelCase__  ,							3      ))      ))

			return x * cdf






def 	__lowerCamelCase						(							lowerCamelCase__		:						int      ):





			'''simple docstring'''




			lowerCamelCase    		=  tf.convert_to_tensor(lowerCamelCase__      )

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






def 	__lowerCamelCase						(							lowerCamelCase__		:						Union[str, Any]      ):





			'''simple docstring'''




			lowerCamelCase    		=  tf.convert_to_tensor(lowerCamelCase__      )
			lowerCamelCase    		=  tf.cast(0.0_4_4_7_1_5  ,							x.dtype      )
			lowerCamelCase    		=  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__		:						Optional[int]      ):





			'''simple docstring'''




			lowerCamelCase    		=  tf.convert_to_tensor(lowerCamelCase__      )
			lowerCamelCase    		=  tf.cast(1.7_0_2  ,							x.dtype      )
			return x * tf.math.sigmoid(coeff * x      )






def 	__lowerCamelCase						(							lowerCamelCase__		:						Dict      ):





			'''simple docstring'''




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






def 	__lowerCamelCase						(							lowerCamelCase__		:						int  ,							lowerCamelCase__		:						Dict=-1      ):





			'''simple docstring'''




			lowerCamelCase		,		lowerCamelCase    		=  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__		:						Union[str, Any]      ):





					'''simple docstring'''




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

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



		UpperCAmelCase   :    int     =		approximate_gelu_wrap
else:
		UpperCAmelCase   :    Dict     =		_gelu
		UpperCAmelCase   :    Dict     =		_gelu_new


UpperCAmelCase   :    List[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__		:						Tuple      ):





			'''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()      )}'      )

