
from typing import List, Union

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


__lowerCAmelCase      :					str   	=       logging.get_logger(__name__)

__lowerCAmelCase      :					Union[str, Any]   	=       {
    '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 	UpperCAmelCase_      (			_A					):


  '''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      :			Optional[Any]      ,							UpperCamelCase__      :			Union[str, Any]=5_0265      ,							UpperCamelCase__      :			Any=1_6384      ,							UpperCamelCase__      :			Tuple=1024      ,							UpperCamelCase__      :			Dict=12      ,							UpperCamelCase__      :			Any=4096      ,							UpperCamelCase__      :			Optional[Any]=16      ,							UpperCamelCase__      :			int=12      ,							UpperCamelCase__      :			List[Any]=4096      ,							UpperCamelCase__      :			Optional[int]=16      ,							UpperCamelCase__      :			List[str]=0.0      ,							UpperCamelCase__      :			str=0.0      ,							UpperCamelCase__      :			Optional[Any]=True      ,							UpperCamelCase__      :			str=True      ,							UpperCamelCase__      :			Tuple="gelu"      ,							UpperCamelCase__      :			Dict=1024      ,							UpperCamelCase__      :			int=0.1      ,							UpperCamelCase__      :			Tuple=0.0      ,							UpperCamelCase__      :			Optional[Any]=0.0      ,							UpperCamelCase__      :			List[Any]=0.02      ,							UpperCamelCase__      :			Any=2      ,							UpperCamelCase__      :			str=0.0      ,							UpperCamelCase__      :			Optional[Any]=1      ,							UpperCamelCase__      :			Optional[Any]=0      ,							UpperCamelCase__      :			int=2      ,							UpperCamelCase__      :			Union[List[int], int] = 512      ,							**UpperCamelCase__      :			Dict      ,							)      ->     Optional[Any]:







    """simple docstring"""






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

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



from itertools import compress, repeat
from math import ceil, sqrt

def a__   (	A_ ):






  '''simple docstring'''





  if num <= 2:
    return []
  if num == 3:
    return [2]

  # Odd sieve for numbers in range [3, num - 1]
  __magic_name__    					=	bytearray(b"""\x01""" ) * ((num >> 1) - 1)

  for i in range(3,					int(sqrt(A_ ) ) + 1,					2 ):
    if sieve[(i >> 1) - 1]:
      __magic_name__    					=	i**2
      __magic_name__    					=	repeat(
          0,					ceil((num - i_squared) / (i << 1) ) )

  return [2] + list(compress(range(3,					A_,					2 ),					A_ ) )


if __name__ == "__main__":
    import doctest

    doctest.testmod()

