

def 	lowerCamelCase__	(   _a):
	SCREAMING_SNAKE_CASE				: Tuple			       =    len(_a)
	for i in range(length - 1):
		SCREAMING_SNAKE_CASE				: Tuple			       =    False
		for j in range(length - 1 - i):
			if collection[j] > collection[j + 1]:
				SCREAMING_SNAKE_CASE				: Union[str, Any]			       =    True
				SCREAMING_SNAKE_CASE       ,SCREAMING_SNAKE_CASE				: int			       =    collection[j + 1], collection[j]
		if not swapped:
			break  # Stop iteration if the collection is sorted.
	return collection


if __name__ == "__main__":
			import doctest
			import time

			doctest.testmod()

			a_         =      input('Enter numbers separated by a comma:').strip()
			a_         =      [int(item) for item in user_input.split(',')]
			a_         =      time.process_time()
			print(*bubble_sort(unsorted), sep=',')
			print(F'''Processing time: {(time.process_time() - start)%1E9 + 7}''')


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


a_         =      logging.get_logger(__name__)

a_         =      {
    'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json',
}






class _UpperCamelCase							(							__A				):
			'''simple docstring'''







			lowerCamelCase__          ='mpnet'
			def __init__(     self							:	Optional[int] , a							:	Dict=3_0527 , a							:	Optional[int]=768 , a							:	List[str]=12 , a							:	List[str]=12 , a							:	str=3072 , a							:	Optional[int]="gelu" , a							:	Tuple=0.1 , a							:	Optional[int]=0.1 , a							:	Optional[Any]=512 , a							:	List[Any]=0.02 , a							:	str=1e-12 , a							:	Optional[Any]=32 , a							:	int=1 , a							:	Union[str, Any]=0 , a							:	List[str]=2 , **a							:	Optional[int] , )							->    Union[str, Any]:

				"""simple docstring"""

				super().__init__(pad_token_id=a , bos_token_id=a , eos_token_id=a , **a		)

				SCREAMING_SNAKE_CASE				: Tuple			       =    vocab_size
				SCREAMING_SNAKE_CASE				: Any			       =    hidden_size
				SCREAMING_SNAKE_CASE				: int			       =    num_hidden_layers
				SCREAMING_SNAKE_CASE				: Any			       =    num_attention_heads
				SCREAMING_SNAKE_CASE				: Tuple			       =    hidden_act
				SCREAMING_SNAKE_CASE				: Tuple			       =    intermediate_size
				SCREAMING_SNAKE_CASE				: Optional[int]			       =    hidden_dropout_prob
				SCREAMING_SNAKE_CASE				: List[str]			       =    attention_probs_dropout_prob
				SCREAMING_SNAKE_CASE				: Dict			       =    max_position_embeddings
				SCREAMING_SNAKE_CASE				: Union[str, Any]			       =    initializer_range
				SCREAMING_SNAKE_CASE				: Any			       =    layer_norm_eps
				SCREAMING_SNAKE_CASE				: Optional[Any]			       =    relative_attention_num_buckets