


'''simple docstring'''

import warnings

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


lowerCAmelCase :Optional[Any]             =     logging.get_logger(__name__)

lowerCAmelCase :int             =     {
    '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json''',
}
class _lowerCamelCase			(		__a				):



		'''simple docstring'''







		A_      :     List[str]        =							"""mvp"""
		A_      :     Dict        =							["""past_key_values"""]
		A_      :     Dict        =							{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}







		def __init__(   self						:		Optional[Any]    ,	_A						:		Union[str, Any]=50267    ,	_A						:		Optional[Any]=1024    ,	_A						:		Union[str, Any]=12    ,	_A						:		str=4096    ,	_A						:		List[Any]=16    ,	_A						:		Tuple=12    ,	_A						:		Dict=4096    ,	_A						:		Dict=16    ,	_A						:		str=0.0    ,	_A						:		Tuple=0.0    ,	_A						:		Any="gelu"    ,	_A						:		Union[str, Any]=1024    ,	_A						:		str=0.1    ,	_A						:		Tuple=0.0    ,	_A						:		List[str]=0.0    ,	_A						:		Union[str, Any]=0.02    ,	_A						:		Tuple=0.0    ,	_A						:		Union[str, Any]=False    ,	_A						:		Tuple=True    ,	_A						:		Optional[int]=1    ,	_A						:		Tuple=0    ,	_A						:		List[str]=2    ,	_A						:		Union[str, Any]=True    ,	_A						:		List[Any]=2    ,	_A						:		Optional[Any]=2    ,	_A						:		int=False    ,	_A						:		Any=100    ,	_A						:		Dict=800    ,	**_A						:		Optional[int]    ,	)    ->					List[Any]:
			__magic_name__			:       str	      =	vocab_size
			__magic_name__			:       Optional[int]	      =	max_position_embeddings
			__magic_name__			:       Tuple	      =	d_model
			__magic_name__			:       Union[str, Any]	      =	encoder_ffn_dim
			__magic_name__			:       Union[str, Any]	      =	encoder_layers
			__magic_name__			:       Optional[Any]	      =	encoder_attention_heads
			__magic_name__			:       List[Any]	      =	decoder_ffn_dim
			__magic_name__			:       Any	      =	decoder_layers
			__magic_name__			:       List[Any]	      =	decoder_attention_heads
			__magic_name__			:       Optional[Any]	      =	dropout
			__magic_name__			:       Optional[Any]	      =	attention_dropout
			__magic_name__			:       Any	      =	activation_dropout
			__magic_name__			:       Optional[int]	      =	activation_function
			__magic_name__			:       Dict	      =	init_std
			__magic_name__			:       Any	      =	encoder_layerdrop
			__magic_name__			:       Any	      =	decoder_layerdrop
			__magic_name__			:       Dict	      =	classifier_dropout
			__magic_name__			:       str	      =	use_cache
			__magic_name__			:       Any	      =	encoder_layers
			__magic_name__			:       int	      =	scale_embedding  # scale factor will be sqrt(d_model) if True
			__magic_name__			:       int	      =	use_prompt
			__magic_name__			:       Tuple	      =	prompt_length
			__magic_name__			:       Optional[int]	      =	prompt_mid_dim

			super().__init__(
			    pad_token_id=_UpperCamelCase    ,	bos_token_id=_UpperCamelCase    ,	eos_token_id=_UpperCamelCase    ,	is_encoder_decoder=_UpperCamelCase    ,	decoder_start_token_id=_UpperCamelCase    ,	forced_eos_token_id=_UpperCamelCase    ,	**_UpperCamelCase    ,	)

			if self.forced_bos_token_id is None and kwargs.get('force_bos_token_to_be_generated'    ,	_UpperCamelCase     ):
				__magic_name__			:       int	      =	self.bos_token_id
				warnings.warn(
				    F'Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. '
				    'The config can simply be saved and uploaded again to be fixed.'     )

def   lowerCamelCase__							(							__lowerCAmelCase    :    list							):




			"""simple docstring"""


			for i in range(len(__lowerCAmelCase							) - 1       ,				0       ,				-1							):
						lowerCAmelCase_         =      False

						for j in range(__lowerCAmelCase       ,				0       ,				-1							):
									if unsorted[j] < unsorted[j - 1]:
												lowerCAmelCase_      ,    lowerCAmelCase_         =      unsorted[j - 1], unsorted[j]
												lowerCAmelCase_         =      True

						for j in range(__lowerCAmelCase							):
									if unsorted[j] > unsorted[j + 1]:
												lowerCAmelCase_      ,    lowerCAmelCase_         =      unsorted[j + 1], unsorted[j]
												lowerCAmelCase_         =      True

						if not swapped:
									break
			return unsorted


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			_A  =	input("Enter numbers separated by a comma:\n").strip()
			_A  =	[int(item) for item in user_input.split(",")]
			print(f"""{cocktail_shaker_sort(unsorted) = }""")



