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


lowerCamelCase_				:		List[str]       						=       logging.get_logger(__name__)

lowerCamelCase_				:		str       						=       {
    """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 						a__							(   __snake_case		):
			A__				:   Union[str, Any]								=			'opt'
			A__				:   Optional[int]								=			['past_key_values']



			def __init__(						self      ,						UpperCAmelCase=5_0_2_7_2      ,						UpperCAmelCase=7_6_8      ,						UpperCAmelCase=1_2      ,						UpperCAmelCase=3_0_7_2      ,						UpperCAmelCase=2_0_4_8      ,						UpperCAmelCase=True      ,						UpperCAmelCase=False      ,						UpperCAmelCase=None      ,						UpperCAmelCase=0.1      ,						UpperCAmelCase=0.0      ,						UpperCAmelCase=1_2      ,						UpperCAmelCase="relu"      ,						UpperCAmelCase=0.0      ,						UpperCAmelCase=0.02      ,						UpperCAmelCase=True      ,						UpperCAmelCase=1      ,						UpperCAmelCase=2      ,						UpperCAmelCase=2      ,						UpperCAmelCase=True      ,						UpperCAmelCase=True      ,						**UpperCAmelCase      ,						) ->    int:
								super().__init__(
								    pad_token_id=UpperCAmelCase      ,						bos_token_id=UpperCAmelCase      ,						eos_token_id=UpperCAmelCase      ,						**UpperCAmelCase      ,						)
								__a							=   vocab_size
								__a							=   max_position_embeddings
								__a							=   num_attention_heads
								__a							=   word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
								__a							=   ffn_dim
								__a							=   hidden_size
								__a							=   num_hidden_layers
								__a							=   dropout
								__a							=   attention_dropout
								__a							=   activation_function
								__a							=   init_std
								__a							=   layerdrop
								__a							=   use_cache
								__a							=   do_layer_norm_before
								# We keep these variables at `True` for backward compatibility.
								__a							=   enable_bias
								__a							=   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
								__a							=   _remove_final_layer_norm





def 							lowerCAmelCase(	__lowerCamelCase = 10**6						):

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

					__a							=   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      ,				__lowerCamelCase						):
																				__a							=   (phi[multiple] // number) * (number - 1)

					__a							=   1
					for number in range(1      ,				n + 1						):
										if (answer / phi[answer]) < (number / phi[number]):
															__a							=   number

					return answer


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




