






'''simple docstring'''


from typing import List, Union

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


SCREAMING_SNAKE_CASE_				      =							logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_				      =							{
    "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/config.json",
    # See all LED models at https://huggingface.co/models?filter=led
}




class 							lowerCAmelCase					(							lowerCamelCase__   ):







   """simple docstring"""







   _A						=   'led'
   _A						=   {
       'num_attention_heads': 'encoder_attention_heads',
       'hidden_size': 'd_model',
       'attention_probs_dropout_prob': 'attention_dropout',
       'initializer_range': 'init_std',
   }



   def __init__( self   ,   _A=50265   ,   _A=16384   ,   _A=1024   ,   _A=12   ,   _A=4096   ,   _A=16   ,   _A=12   ,   _A=4096   ,   _A=16   ,   _A=0.0   ,   _A=0.0   ,   _A=True   ,   _A=True   ,   _A="gelu"   ,   _A=1024   ,   _A=0.1   ,   _A=0.0   ,   _A=0.0   ,   _A=0.02   ,   _A=2   ,   _A=0.0   ,   _A=1   ,   _A=0   ,   _A=2   ,   _A = 512   ,   **_A   ,   )    ->   List[str]:
    __a    :	List[Any]									=						vocab_size
    __a    :	Union[str, Any]									=						max_encoder_position_embeddings
    __a    :	Any									=						max_decoder_position_embeddings
    __a    :	List[Any]									=						d_model
    __a    :	Optional[Any]									=						encoder_ffn_dim
    __a    :	str									=						encoder_layers
    __a    :	Tuple									=						encoder_attention_heads
    __a    :	Tuple									=						decoder_ffn_dim
    __a    :	Optional[Any]									=						decoder_layers
    __a    :	Tuple									=						decoder_attention_heads
    __a    :	Any									=						dropout
    __a    :	Dict									=						attention_dropout
    __a    :	List[str]									=						activation_dropout
    __a    :	Tuple									=						activation_function
    __a    :	List[str]									=						init_std
    __a    :	List[str]									=						encoder_layerdrop
    __a    :	int									=						decoder_layerdrop
    __a    :	Optional[int]									=						classifier_dropout
    __a    :	Optional[int]									=						use_cache
    __a    :	List[Any]									=						encoder_layers
    __a    :	str									=						attention_window

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












'''simple docstring'''


def   lowerCAmelCase__			(					SCREAMING_SNAKE_CASE__		):
 if len(SCREAMING_SNAKE_CASE__		) <= 1:
  return data
 else:
  return [
      *quick_sort([e for e in data[1:] if e <= data[0]]		),
      data[0],
      *quick_sort([e for e in data[1:] if e > data[0]]		),
  ]


if __name__ == "__main__":
  import doctest

  doctest.testmod()




