





'''simple docstring'''







from timeit import timeit

lowerCAmelCase_					:    int      	=			{
    'MALAYALAM': True,
    'String': False,
    'rotor': True,
    'level': True,
    'A': True,
    'BB': True,
    'ABC': False,
    'amanaplanacanalpanama': True,  # "a man a plan a canal panama"
}
# Ensure our test data is valid
assert all((key == key[::-1]) is value for key, value in test_data.items())






def  _lowerCamelCase				( lowercase						:      str						)	->	bool:
				_a								= 0
				_a								= len(lowercase						) - 1
				while start_i < end_i:
								if s[start_i] == s[end_i]:
												start_i += 1
												end_i -= 1
								else:
												return False
				return True






def  _lowerCamelCase				( lowercase						:      str						)	->	bool:
				_a								= len(lowercase						) // 2
				_a								= len(lowercase						)

				# We need to traverse till half of the length of string
				# as we can get access of the i'th last element from
				# i'th index.
				# eg: [0,1,2,3,4,5] => 4th index can be accessed
				# with the help of 1st index (i==n-i-1)
				# where n is length of string
				return all(s[i] == s[n - i - 1] for i in range(lowercase						)						)






def  _lowerCamelCase				( lowercase						:      str						)	->	bool:
				if len(lowercase						) <= 2:
								return True
				if s[0] == s[len(lowercase						) - 1]:
								return is_palindrome_recursive(s[1:-1]						)
				else:
								return False






def  _lowerCamelCase				( lowercase						:      str						)	->	bool:
				return s == s[::-1]






def  _lowerCamelCase				( lowercase						:      str						)	->	None:
				_a								= F'all({name}(key) is value for key, value in test_data.items())'
				_a								= F'from __main__ import test_data, {name}'
				_a								= 50_0000
				_a								= timeit(stmt=lowercase    ,							setup=lowercase    ,							number=lowercase						)
				print(F'{name:<35} finished {number:,} runs in {result:.5f} seconds'						)


if __name__ == "__main__":
					for key, value in test_data.items():
										assert is_palindrome(key) is is_palindrome_recursive(key)
										assert is_palindrome(key) is is_palindrome_slice(key)
										print(f"""{key:21} {value}""")
					print('a man a plan a canal panama')

					# finished 500,000 runs in 0.46793 seconds
					benchmark_function('is_palindrome_slice')
					# finished 500,000 runs in 0.85234 seconds
					benchmark_function('is_palindrome')
					# finished 500,000 runs in 1.32028 seconds
					benchmark_function('is_palindrome_recursive')
					# finished 500,000 runs in 2.08679 seconds
					benchmark_function('is_palindrome_traversal')


from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase			:     List[Any]           =   logging.get_logger(__name__)

__lowerCAmelCase			:     int           =   {
    'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}




class        UpperCAmelCase_			( _A     ):


  '''simple docstring'''







  a__           =		"""biogpt"""
  def __init__( self			: List[str]			,							UpperCamelCase__			: Optional[Any]=4_2384			,							UpperCamelCase__			: Union[str, Any]=1024			,							UpperCamelCase__			: Any=24			,							UpperCamelCase__			: Union[str, Any]=16			,							UpperCamelCase__			: Tuple=4096			,							UpperCamelCase__			: Tuple="gelu"			,							UpperCamelCase__			: Dict=0.1			,							UpperCamelCase__			: Dict=0.1			,							UpperCamelCase__			: str=1024			,							UpperCamelCase__			: Any=0.02			,							UpperCamelCase__			: List[str]=1E-12			,							UpperCamelCase__			: Dict=True			,							UpperCamelCase__			: Optional[int]=True			,							UpperCamelCase__			: Union[str, Any]=0.0			,							UpperCamelCase__			: Any=0.0			,							UpperCamelCase__			: List[str]=1			,							UpperCamelCase__			: Dict=0			,							UpperCamelCase__			: List[str]=2			,							**UpperCamelCase__			: Optional[int]			,							)			->	Tuple:







    """simple docstring"""






    __magic_name__				     =       vocab_size
    __magic_name__				     =       max_position_embeddings
    __magic_name__				     =       hidden_size
    __magic_name__				     =       num_hidden_layers
    __magic_name__				     =       num_attention_heads
    __magic_name__				     =       intermediate_size
    __magic_name__				     =       hidden_act
    __magic_name__				     =       hidden_dropout_prob
    __magic_name__				     =       attention_probs_dropout_prob
    __magic_name__				     =       initializer_range
    __magic_name__				     =       layer_norm_eps
    __magic_name__				     =       scale_embedding
    __magic_name__				     =       use_cache
    __magic_name__				     =       layerdrop
    __magic_name__				     =       activation_dropout
    super().__init__(pad_token_id=UpperCamelCase__			,							bos_token_id=UpperCamelCase__			,							eos_token_id=UpperCamelCase__			,							**UpperCamelCase__    )

