
"""simple docstring"""




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


A__   :					Optional[Any]							=   logging.get_logger(__name__)

A__   :					Optional[int]							=   {
    'tanreinama/GPTSAN-2.8B-spout_is_uniform': (
        'https://huggingface.co/tanreinama/GPTSAN-2.8B-spout_is_uniform/resolve/main/config.json'
    ),
}


class 			__magic_name__       (       SCREAMING_SNAKE_CASE__ ):
       UpperCamelCase_   =		'''gptsan-japanese'''
       UpperCamelCase_   =		[
           '''past_key_values''',
       ]
       UpperCamelCase_   =		{
           '''hidden_size''': '''d_model''',
           '''num_attention_heads''': '''num_heads''',
           '''num_hidden_layers''': '''num_layers''',
       }
       def __init__(     self ,				A_=3_6000 ,				A_=1280 ,				A_=1024 ,				A_=8192 ,				A_=4096 ,				A_=128 ,				A_=10 ,				A_=0 ,				A_=16 ,				A_=16 ,				A_=128 ,				A_=0.0 ,				A_=1E-5 ,				A_=False ,				A_=0.0 ,				A_="float32" ,				A_=False ,				A_=False ,				A_=False ,				A_=0.0_02 ,				A_=False ,				A_=True ,				A_=3_5998 ,				A_=3_5995 ,				A_=3_5999 ,				**A_ ,				)     ->	Optional[Any]:





         """simple docstring"""




         _lowercase:			int       =     vocab_size
         _lowercase:			Optional[Any]       =     max_position_embeddings
         _lowercase:			str       =     d_model
         _lowercase:			Tuple       =     d_ff
         _lowercase:			int       =     d_ext
         _lowercase:			Union[str, Any]       =     d_spout
         _lowercase:			Union[str, Any]       =     num_switch_layers
         _lowercase:			List[str]       =     num_ext_layers
         _lowercase:			List[Any]       =     num_switch_layers + num_ext_layers
         _lowercase:			List[str]       =     num_heads
         _lowercase:			Dict       =     num_experts
         _lowercase:			Tuple       =     expert_capacity
         _lowercase:			str       =     dropout_rate
         _lowercase:			List[str]       =     layer_norm_epsilon
         _lowercase:			Dict       =     router_bias
         _lowercase:			Tuple       =     router_jitter_noise
         _lowercase:			List[Any]       =     router_dtype
         _lowercase:			Union[str, Any]       =     router_ignore_padding_tokens
         _lowercase:			Tuple       =     output_hidden_states
         _lowercase:			str       =     output_attentions
         _lowercase:			int       =     initializer_factor
         _lowercase:			int       =     output_router_logits
         _lowercase:			List[str]       =     use_cache

         super().__init__(
             separator_token_id=A_ ,				pad_token_id=A_ ,				eos_token_id=A_ ,				**A_ ,				)


"""simple docstring"""




def  _lowerCAmelCase		(		_UpperCamelCase						):






  """simple docstring"""



  if num <= 0:
    raise ValueError('''Input must be a positive integer'''						)

  _lowercase:			Tuple       =     [True] * (num + 1)

  _lowercase:			List[str]       =     2
  while p * p <= num:
    if primes[p]:
      for i in range(p * p ,				num + 1 ,				_UpperCamelCase						):
        _lowercase:			List[str]       =     False
    p += 1

  return [prime for prime in range(2 ,				num + 1						) if primes[prime]]


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  A__   :					List[Any]							=   int(input('Enter a positive integer: ').strip())
  print(prime_sieve_eratosthenes(user_num))
