






"""simple docstring"""





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


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

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






class 					a						( __snake_case		):
    SCREAMING_SNAKE_CASE						:					Optional[int]						=			"""mpnet"""






    def __init__(	self					:							List[Any]	,						__SCREAMING_SNAKE_CASE					:							int=30527	,						__SCREAMING_SNAKE_CASE					:							Optional[int]=768	,						__SCREAMING_SNAKE_CASE					:							List[str]=12	,						__SCREAMING_SNAKE_CASE					:							Union[str, Any]=12	,						__SCREAMING_SNAKE_CASE					:							Optional[Any]=3072	,						__SCREAMING_SNAKE_CASE					:							Optional[int]="gelu"	,						__SCREAMING_SNAKE_CASE					:							Dict=0.1	,						__SCREAMING_SNAKE_CASE					:							Union[str, Any]=0.1	,						__SCREAMING_SNAKE_CASE					:							List[Any]=512	,						__SCREAMING_SNAKE_CASE					:							Any=0.02	,						__SCREAMING_SNAKE_CASE					:							Tuple=1e-1_2	,						__SCREAMING_SNAKE_CASE					:							Optional[Any]=32	,						__SCREAMING_SNAKE_CASE					:							List[str]=1	,						__SCREAMING_SNAKE_CASE					:							int=0	,						__SCREAMING_SNAKE_CASE					:							Union[str, Any]=2	,						**__SCREAMING_SNAKE_CASE					:							str	,						)					->		List[str]:
      super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE	,						bos_token_id=__SCREAMING_SNAKE_CASE	,						eos_token_id=__SCREAMING_SNAKE_CASE	,						**__SCREAMING_SNAKE_CASE )

      lowerCamelCase_   					=						vocab_size
      lowerCamelCase_   					=						hidden_size
      lowerCamelCase_   					=						num_hidden_layers
      lowerCamelCase_   					=						num_attention_heads
      lowerCamelCase_   					=						hidden_act
      lowerCamelCase_   					=						intermediate_size
      lowerCamelCase_   					=						hidden_dropout_prob
      lowerCamelCase_   					=						attention_probs_dropout_prob
      lowerCamelCase_   					=						max_position_embeddings
      lowerCamelCase_   					=						initializer_range
      lowerCamelCase_   					=						layer_norm_eps
      lowerCamelCase_   					=						relative_attention_num_buckets












"""simple docstring"""





from __future__ import annotations

from random import randrange







def 					lowerCamelCase__	(							_lowerCamelCase	:		list			)				->    list:
  if len(_lowerCamelCase			) < 2:
    return collection
  lowerCamelCase_   					=						randrange(len(_lowerCamelCase			)			)  # Use random element as pivot
  lowerCamelCase_   					=						collection[pivot_index]
  lowerCamelCase_   					=						[]  # All elements greater than pivot
  lowerCamelCase_   					=						[]  # All elements less than or equal to pivot

  for element in collection[:pivot_index]:
    (greater if element > pivot else lesser).append(_lowerCamelCase			)

  for element in collection[pivot_index + 1 :]:
    (greater if element > pivot else lesser).append(_lowerCamelCase			)

  return [*quick_sort(_lowerCamelCase			), pivot, *quick_sort(_lowerCamelCase			)]


if __name__ == "__main__":
  _SCREAMING_SNAKE_CASE :    Dict    =						input('''Enter numbers separated by a comma:\n''').strip()
  _SCREAMING_SNAKE_CASE :    List[str]    =						[int(item) for item in user_input.split(''',''')]
  print(quick_sort(unsorted))




