






"""simple docstring"""


from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
lowercase_								=	TypeVar('T', bound='Enum')


@unique
class    snake_case						(				_lowerCAmelCase		):


   '''simple docstring'''

   A_		:      List[Any]							=					80
   A_		:      Dict							=					70
   A_		:      Optional[int]							=					60
   A_		:      Any							=					50
   A_		:      Dict							=					40
   A_		:      str							=					30
   A_		:      Tuple							=					20
   A_		:      Tuple							=					10





@unique
class    snake_case						(				_lowerCAmelCase		):


   '''simple docstring'''

   A_		:      Optional[int]							=					24
   A_		:      Any							=					21
   A_		:      Union[str, Any]							=					18
   A_		:      str							=					15
   A_		:      List[str]							=					12
   A_		:      str							=					9
   A_		:      List[str]							=					6
   A_		:      str							=					3
   A_		:      Any							=					2
   A_		:      Any							=					1
   A_		:      List[Any]							=					-1
   A_		:      str							=					-2
   A_		:      Tuple							=					-3
   A_		:      List[str]							=					-6
   A_		:      int							=					-9
   A_		:      List[Any]							=					-12
   A_		:      List[Any]							=					-15
   A_		:      Optional[int]							=					-18
   A_		:      Optional[Any]							=					-21
   A_		:      Optional[int]							=					-24


   @classmethod
   def 							_SCREAMING_SNAKE_CASE							(      cls					:	type[T]    ):

     '''simple docstring'''
     return {unit.name: unit.value for unit in cls if unit.value > 0}






   @classmethod
   def 							_SCREAMING_SNAKE_CASE							(      cls					:	type[T]    ):

     '''simple docstring'''
     return {unit.name: unit.value for unit in cls if unit.value < 0}





def    lowerCAmelCase							(       __UpperCamelCase					):




  """simple docstring"""







  __A		     =					SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
  for name_prefix, value_prefix in prefixes.items():
    __A		     =					value / (1_0**value_prefix)
    if numerical_part > 1:
      return f'{numerical_part!s} {name_prefix}'
  return str(__UpperCamelCase					)



def    lowerCAmelCase							(       __UpperCamelCase					):




  """simple docstring"""







  for prefix in BinaryUnit:
    __A		     =					value / (2**prefix.value)
    if numerical_part > 1:
      return f'{numerical_part!s} {prefix.name}'
  return str(__UpperCamelCase					)


if __name__ == "__main__":
       import doctest

       doctest.testmod()












"""simple docstring"""


from typing import List, Union

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


lowercase_								=	logging.get_logger(__name__)

lowercase_								=	{
    '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    snake_case						(				_lowerCAmelCase		):


   '''simple docstring'''

   A_		:      Optional[int]							=					"led"
   A_		:      Any							=					{
       "num_attention_heads": "encoder_attention_heads",
       "hidden_size": "d_model",
       "attention_probs_dropout_prob": "attention_dropout",
       "initializer_range": "init_std",
   }


   def __init__(      self					:	Dict,			_lowerCamelCase					:	str=5_02_65,			_lowerCamelCase					:	List[Any]=1_63_84,			_lowerCamelCase					:	int=10_24,			_lowerCamelCase					:	List[Any]=12,			_lowerCamelCase					:	int=40_96,			_lowerCamelCase					:	str=16,			_lowerCamelCase					:	Dict=12,			_lowerCamelCase					:	Optional[int]=40_96,			_lowerCamelCase					:	Any=16,			_lowerCamelCase					:	int=0.0,			_lowerCamelCase					:	str=0.0,			_lowerCamelCase					:	str=True,			_lowerCamelCase					:	str=True,			_lowerCamelCase					:	Tuple="gelu",			_lowerCamelCase					:	Tuple=10_24,			_lowerCamelCase					:	Dict=0.1,			_lowerCamelCase					:	Tuple=0.0,			_lowerCamelCase					:	Union[str, Any]=0.0,			_lowerCamelCase					:	Optional[int]=0.02,			_lowerCamelCase					:	List[str]=2,			_lowerCamelCase					:	Dict=0.0,			_lowerCamelCase					:	Dict=1,			_lowerCamelCase					:	str=0,			_lowerCamelCase					:	Union[str, Any]=2,			_lowerCamelCase					:	Union[List[int], int] = 5_12,			**_lowerCamelCase					:	Any,			):

     '''simple docstring'''
     __A		     =					vocab_size
     __A		     =					max_encoder_position_embeddings
     __A		     =					max_decoder_position_embeddings
     __A		     =					d_model
     __A		     =					encoder_ffn_dim
     __A		     =					encoder_layers
     __A		     =					encoder_attention_heads
     __A		     =					decoder_ffn_dim
     __A		     =					decoder_layers
     __A		     =					decoder_attention_heads
     __A		     =					dropout
     __A		     =					attention_dropout
     __A		     =					activation_dropout
     __A		     =					activation_function
     __A		     =					init_std
     __A		     =					encoder_layerdrop
     __A		     =					decoder_layerdrop
     __A		     =					classifier_dropout
     __A		     =					use_cache
     __A		     =					encoder_layers
     __A		     =					attention_window

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




