





"""simple docstring"""




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


UpperCamelCase_           =logging.get_logger(__name__)

UpperCamelCase_           ={
    """uw-madison/nystromformer-512""": """https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json""",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}




class  _a						(      _lowerCAmelCase				):
				UpperCamelCase								=    '''nystromformer'''






				def __init__( self		:    Any, lowerCAmelCase__		:    List[Any]=3_0_0_0_0, lowerCAmelCase__		:    Dict=7_6_8, lowerCAmelCase__		:    Dict=1_2, lowerCAmelCase__		:    Tuple=1_2, lowerCAmelCase__		:    List[Any]=3_0_7_2, lowerCAmelCase__		:    Tuple="gelu_new", lowerCAmelCase__		:    List[str]=0.1, lowerCAmelCase__		:    Any=0.1, lowerCAmelCase__		:    List[Any]=5_1_0, lowerCAmelCase__		:    Optional[int]=2, lowerCAmelCase__		:    int=6_4, lowerCAmelCase__		:    Any=6_4, lowerCAmelCase__		:    Union[str, Any]=6_5, lowerCAmelCase__		:    Tuple=False, lowerCAmelCase__		:    Union[str, Any]=0.02, lowerCAmelCase__		:    List[str]=1e-5, lowerCAmelCase__		:    Any=1, lowerCAmelCase__		:    Union[str, Any]=0, lowerCAmelCase__		:    Union[str, Any]=2, **lowerCAmelCase__		:    List[Any], )	->      str:




										'''simple docstring'''



										_UpperCamelCase			:					List[Any]     =    vocab_size
										_UpperCamelCase			:					Dict     =    max_position_embeddings
										_UpperCamelCase			:					Tuple     =    hidden_size
										_UpperCamelCase			:					str     =    num_hidden_layers
										_UpperCamelCase			:					Optional[Any]     =    num_attention_heads
										_UpperCamelCase			:					Optional[Any]     =    intermediate_size
										_UpperCamelCase			:					Dict     =    hidden_act
										_UpperCamelCase			:					int     =    hidden_dropout_prob
										_UpperCamelCase			:					List[str]     =    attention_probs_dropout_prob
										_UpperCamelCase			:					Tuple     =    initializer_range
										_UpperCamelCase			:					str     =    type_vocab_size
										_UpperCamelCase			:					Union[str, Any]     =    segment_means_seq_len
										_UpperCamelCase			:					Optional[int]     =    num_landmarks
										_UpperCamelCase			:					List[Any]     =    conv_kernel_size
										_UpperCamelCase			:					Union[str, Any]     =    inv_coeff_init_option
										_UpperCamelCase			:					List[Any]     =    layer_norm_eps
										super().__init__(pad_token_id=lowerCAmelCase__, bos_token_id=lowerCAmelCase__, eos_token_id=lowerCAmelCase__, **lowerCAmelCase__							)










"""simple docstring"""




def        a_				(							_lowercase = 10**6   ):

						if n <= 0:
												raise ValueError('''Please enter an integer greater than 0'''   )

						_UpperCamelCase			:					Any     =    list(range(n + 1   )   )
						for number in range(2       ,						n + 1   ):
												if phi[number] == number:
																		phi[number] -= 1
																		for multiple in range(number * 2       ,						n + 1       ,						_lowercase   ):
																								_UpperCamelCase			:					List[str]     =    (phi[multiple] // number) * (number - 1)

						_UpperCamelCase			:					Union[str, Any]     =    1
						for number in range(1       ,						n + 1   ):
												if (answer / phi[answer]) < (number / phi[number]):
																		_UpperCamelCase			:					List[str]     =    number

						return answer


if __name__ == "__main__":
						print(solution())



