code: 
  
  
  '''simple docstring'''
  
  
  
  
  
  from typing import List, Union
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __a   				=      logging.get_logger(__name__)
  
  __a   				=      {
      '''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 				__SCREAMING_SNAKE_CASE   (			A__   ):
        A				:							List[str]    							=     'led'
        A				:							str    							=     {
            'num_attention_heads': 'encoder_attention_heads',
            'hidden_size': 'd_model',
            'attention_probs_dropout_prob': 'attention_dropout',
            'initializer_range': 'init_std',
        }
  
  
        def __init__(							self							,						SCREAMING_SNAKE_CASE__=50265							,						SCREAMING_SNAKE_CASE__=16384							,						SCREAMING_SNAKE_CASE__=1024							,						SCREAMING_SNAKE_CASE__=12							,						SCREAMING_SNAKE_CASE__=4096							,						SCREAMING_SNAKE_CASE__=16							,						SCREAMING_SNAKE_CASE__=12							,						SCREAMING_SNAKE_CASE__=4096							,						SCREAMING_SNAKE_CASE__=16							,						SCREAMING_SNAKE_CASE__=0.0							,						SCREAMING_SNAKE_CASE__=0.0							,						SCREAMING_SNAKE_CASE__=True							,						SCREAMING_SNAKE_CASE__=True							,						SCREAMING_SNAKE_CASE__="gelu"							,						SCREAMING_SNAKE_CASE__=1024							,						SCREAMING_SNAKE_CASE__=0.1							,						SCREAMING_SNAKE_CASE__=0.0							,						SCREAMING_SNAKE_CASE__=0.0							,						SCREAMING_SNAKE_CASE__=0.02							,						SCREAMING_SNAKE_CASE__=2							,						SCREAMING_SNAKE_CASE__=0.0							,						SCREAMING_SNAKE_CASE__=1							,						SCREAMING_SNAKE_CASE__=0							,						SCREAMING_SNAKE_CASE__=2							,						SCREAMING_SNAKE_CASE__ = 512							,						**SCREAMING_SNAKE_CASE__							,						):
              lowercase			:   Dict					   =		vocab_size
              lowercase			:   List[Any]					   =		max_encoder_position_embeddings
              lowercase			:   int					   =		max_decoder_position_embeddings
              lowercase			:   Any					   =		d_model
              lowercase			:   Tuple					   =		encoder_ffn_dim
              lowercase			:   Tuple					   =		encoder_layers
              lowercase			:   Optional[int]					   =		encoder_attention_heads
              lowercase			:   List[str]					   =		decoder_ffn_dim
              lowercase			:   str					   =		decoder_layers
              lowercase			:   int					   =		decoder_attention_heads
              lowercase			:   str					   =		dropout
              lowercase			:   Union[str, Any]					   =		attention_dropout
              lowercase			:   List[str]					   =		activation_dropout
              lowercase			:   Union[str, Any]					   =		activation_function
              lowercase			:   Optional[int]					   =		init_std
              lowercase			:   Optional[int]					   =		encoder_layerdrop
              lowercase			:   Any					   =		decoder_layerdrop
              lowercase			:   Dict					   =		classifier_dropout
              lowercase			:   Dict					   =		use_cache
              lowercase			:   str					   =		encoder_layers
              lowercase			:   Dict					   =		attention_window
  
              super().__init__(
                  pad_token_id=SCREAMING_SNAKE_CASE__							,						bos_token_id=SCREAMING_SNAKE_CASE__							,						eos_token_id=SCREAMING_SNAKE_CASE__							,						is_encoder_decoder=SCREAMING_SNAKE_CASE__							,						decoder_start_token_id=SCREAMING_SNAKE_CASE__							,						**SCREAMING_SNAKE_CASE__							,						)
  
  
style_context: 
  
  
  import math
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase     )    ->Union[str, Any]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   List[Any]					   =		0
        if n % 2 == 0:
              count += 1
              while n % 2 == 0:
                    lowercase			:   Any					   =		int(n / 2     )
      # the n input value must be odd so that
      # we can skip one element (ie i += 2)
  
        lowercase			:   Optional[int]					   =		3
  
        while i <= int(math.sqrt(_UpperCamelCase     )     ):
              if n % i == 0:
                    count += 1
                    while n % i == 0:
                          lowercase			:   Optional[Any]					   =		int(n / i     )
              lowercase			:   str					   =		i + 2
  
        # this condition checks the prime
        # number n is greater than 2
  
        if n > 2:
              count += 1
        return count
  
  
  if __name__ == "__main__":
    __a   				=      51_24_21_83
    print(F'''The number of distinct prime factors is/are {exact_prime_factor_count(n)}''')
    print(F'''The value of log(log(n)) is {math.log(math.log(n)):.4f}''')
  
  