


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


SCREAMING_SNAKE_CASE       :      Optional[int]												= logging.get_logger(__name__)

SCREAMING_SNAKE_CASE       :      Any												= {"ctrl": "https://huggingface.co/ctrl/resolve/main/config.json"}






class _lowerCamelCase(						_a   ):
       lowercase_ :	str     =			"""ctrl"""
       lowercase_ :	Dict     =			["""past_key_values"""]
       lowercase_ :	Any     =			{
           """max_position_embeddings""": """n_positions""",
           """hidden_size""": """n_embd""",
           """num_attention_heads""": """n_head""",
           """num_hidden_layers""": """n_layer""",
       }
       def __init__(					self,      lowerCamelCase=24_65_34,      lowerCamelCase=2_56,      lowerCamelCase=12_80,      lowerCamelCase=81_92,      lowerCamelCase=48,      lowerCamelCase=16,      lowerCamelCase=0.1,      lowerCamelCase=0.1,      lowerCamelCase=1E-6,      lowerCamelCase=0.0_2,      lowerCamelCase=True,      **lowerCamelCase,      )       ->   List[str]:




           """simple docstring"""

           _lowercase       :							Tuple      		=		vocab_size
           _lowercase       :							List[str]      		=		n_positions
           _lowercase       :							int      		=		n_embd
           _lowercase       :							Dict      		=		n_layer
           _lowercase       :							List[Any]      		=		n_head
           _lowercase       :							str      		=		dff
           _lowercase       :							Optional[int]      		=		resid_pdrop
           _lowercase       :							int      		=		embd_pdrop
           _lowercase       :							Optional[Any]      		=		layer_norm_epsilon
           _lowercase       :							Any      		=		initializer_range

           _lowercase       :							List[str]      		=		use_cache

           super().__init__(**lowerCamelCase)






"""simple docstring"""







def    UpperCAmelCase__       (lowerCAmelCase_ = 100_0000   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				set(range(3  ,						lowerCAmelCase_  ,						2   )   )
					primes.add(2   )
					for p in range(3  ,						lowerCAmelCase_  ,						2   ):
										if p not in primes:
															continue
										primes.difference_update(set(range(p * p  ,						lowerCAmelCase_  ,						lowerCAmelCase_   )   )   )

					__SCREAMING_SNAKE_CASE						   =				[float(lowerCAmelCase_   ) for n in range(limit + 1   )]

					for p in primes:
										for n in range(lowerCAmelCase_  ,						limit + 1  ,						lowerCAmelCase_   ):
															phi[n] *= 1 - 1 / p

					return int(sum(phi[2:]   )   )


if __name__ == "__main__":
		print(F"{solution() = }")
