




'''simple docstring'''



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


lowerCamelCase_	 =		logging.get_logger(__name__)

lowerCamelCase_	 =		{
    'facebook/opt-125m': 'https://huggingface.co/facebook/opt-125m/blob/main/config.json',
    'facebook/opt-350m': 'https://huggingface.co/facebook/opt-350m/blob/main/config.json',
    'facebook/opt-1.3b': 'https://huggingface.co/facebook/opt-1.3b/blob/main/config.json',
    'facebook/opt-2.7b': 'https://huggingface.co/facebook/opt-2.7b/blob/main/config.json',
    'facebook/opt-6.7b': 'https://huggingface.co/facebook/opt-6.7b/blob/main/config.json',
    'facebook/opt-13b': 'https://huggingface.co/facebook/opt-13b/blob/main/config.json',
}







class 	lowercase_					(				A     ):


   """simple docstring"""

   lowerCamelCase_       						=		'''opt'''
   lowerCamelCase_       						=		['''past_key_values''']



   def __init__(					self      :			Union[str, Any]						,   __lowerCamelCase      :			Any=5_0_2_7_2						,   __lowerCamelCase      :			Tuple=7_6_8						,   __lowerCamelCase      :			str=1_2						,   __lowerCamelCase      :			Tuple=3_0_7_2						,   __lowerCamelCase      :			Dict=2_0_4_8						,   __lowerCamelCase      :			str=True						,   __lowerCamelCase      :			int=False						,   __lowerCamelCase      :			Any=None						,   __lowerCamelCase      :			List[str]=0.1						,   __lowerCamelCase      :			Optional[int]=0.0						,   __lowerCamelCase      :			Optional[int]=1_2						,   __lowerCamelCase      :			List[str]="relu"						,   __lowerCamelCase      :			List[Any]=0.0						,   __lowerCamelCase      :			Any=0.0_2						,   __lowerCamelCase      :			Optional[int]=True						,   __lowerCamelCase      :			Optional[int]=1						,   __lowerCamelCase      :			Optional[int]=2						,   __lowerCamelCase      :			List[str]=2						,   __lowerCamelCase      :			List[Any]=True						,   __lowerCamelCase      :			List[Any]=True						,   **__lowerCamelCase      :			str						,   ):

        """simple docstring"""
        super().__init__(
            pad_token_id=__lowerCamelCase						,   bos_token_id=__lowerCamelCase						,   eos_token_id=__lowerCamelCase						,   **__lowerCamelCase						,   )
        _SCREAMING_SNAKE_CASE =   vocab_size
        _SCREAMING_SNAKE_CASE =   max_position_embeddings
        _SCREAMING_SNAKE_CASE =   num_attention_heads
        _SCREAMING_SNAKE_CASE =   word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
        _SCREAMING_SNAKE_CASE =   ffn_dim
        _SCREAMING_SNAKE_CASE =   hidden_size
        _SCREAMING_SNAKE_CASE =   num_hidden_layers
        _SCREAMING_SNAKE_CASE =   dropout
        _SCREAMING_SNAKE_CASE =   attention_dropout
        _SCREAMING_SNAKE_CASE =   activation_function
        _SCREAMING_SNAKE_CASE =   init_std
        _SCREAMING_SNAKE_CASE =   layerdrop
        _SCREAMING_SNAKE_CASE =   use_cache
        _SCREAMING_SNAKE_CASE =   do_layer_norm_before
        # We keep these variables at `True` for backward compatibility.
        _SCREAMING_SNAKE_CASE =   enable_bias
        _SCREAMING_SNAKE_CASE =   layer_norm_elementwise_affine

        # Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
        # with checkpoints that have been fine-tuned before transformers v4.20.1
        # see https://github.com/facebookresearch/metaseq/pull/164
        _SCREAMING_SNAKE_CASE =   _remove_final_layer_norm







'''simple docstring'''



import math
def 				SCREAMING_SNAKE_CASE_				(							__A       :				Tuple						)				->				List[Any]:
   _SCREAMING_SNAKE_CASE =   0
   if n % 2 == 0:
      count += 1
      while n % 2 == 0:
         _SCREAMING_SNAKE_CASE =   int(n / 2						)
    # the n input value must be odd so that
    # we can skip one element (ie i += 2)

   _SCREAMING_SNAKE_CASE =   3

   while i <= int(math.sqrt(__A						)						):
      if n % i == 0:
         count += 1
         while n % i == 0:
            _SCREAMING_SNAKE_CASE =   int(n / i						)
      _SCREAMING_SNAKE_CASE =   i + 2

   # this condition checks the prime
   # number n is greater than 2

   if n > 2:
      count += 1
   return count


if __name__ == "__main__":
 lowerCamelCase_	 =		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}''')

