


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


UpperCAmelCase    =					logging.get_logger(__name__)

UpperCAmelCase    =					{
    """facebook/nllb-moe-54B""": """https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json""",
}







class lowerCAmelCase_		(				lowerCamelCase__ ):

 '''simple docstring'''

 __snake_case				=						"nllb-moe"
 __snake_case				=						["past_key_values"]
 __snake_case				=						{"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}



 def __init__(			self	,   _UpperCAmelCase=12_81_12	,   _UpperCAmelCase=10_24	,   _UpperCAmelCase=12	,   _UpperCAmelCase=40_96	,   _UpperCAmelCase=16	,   _UpperCAmelCase=12	,   _UpperCAmelCase=40_96	,   _UpperCAmelCase=16	,   _UpperCAmelCase=0.05	,   _UpperCAmelCase=0.05	,   _UpperCAmelCase=True	,   _UpperCAmelCase=True	,   _UpperCAmelCase="relu"	,   _UpperCAmelCase=10_24	,   _UpperCAmelCase=0.1	,   _UpperCAmelCase=0.1	,   _UpperCAmelCase=0.0	,   _UpperCAmelCase=0.02	,   _UpperCAmelCase=2	,   _UpperCAmelCase=True	,   _UpperCAmelCase=False	,   _UpperCAmelCase="float32"	,   _UpperCAmelCase=False	,   _UpperCAmelCase=1_28	,   _UpperCAmelCase=64	,   _UpperCAmelCase=4	,   _UpperCAmelCase=4	,   _UpperCAmelCase=0.001	,   _UpperCAmelCase=0.001	,   _UpperCAmelCase="all"	,   _UpperCAmelCase=False	,   _UpperCAmelCase=False	,   _UpperCAmelCase=1.0	,   _UpperCAmelCase=0.2	,   _UpperCAmelCase=1	,   _UpperCAmelCase=0	,   _UpperCAmelCase=2	,   _UpperCAmelCase=False	,   **_UpperCAmelCase	,   ):
       snake_case_ =   vocab_size
       snake_case_ =   max_position_embeddings
       snake_case_ =   d_model
       snake_case_ =   encoder_ffn_dim
       snake_case_ =   encoder_layers
       snake_case_ =   encoder_attention_heads
       snake_case_ =   decoder_ffn_dim
       snake_case_ =   decoder_layers
       snake_case_ =   decoder_attention_heads
       snake_case_ =   dropout
       snake_case_ =   attention_dropout
       snake_case_ =   activation_dropout
       snake_case_ =   activation_function
       snake_case_ =   init_std
       snake_case_ =   encoder_layerdrop
       snake_case_ =   decoder_layerdrop
       snake_case_ =   use_cache
       snake_case_ =   encoder_layers
       snake_case_ =   scale_embedding  # scale factor will be sqrt(d_model) if True
       snake_case_ =   router_z_loss_coef
       snake_case_ =   router_aux_loss_coef
       snake_case_ =   decoder_sparse_step
       snake_case_ =   encoder_sparse_step
       snake_case_ =   num_experts
       snake_case_ =   expert_capacity
       snake_case_ =   router_bias
       if router_dtype not in ["float32", "float16", "bfloat16"]:
             raise ValueError(F'''`router_dtype` must be one of \'float32\', \'float16\' or \'bfloat16\', got {router_dtype}'''      )
       snake_case_ =   router_dtype

       snake_case_ =   router_ignore_padding_tokens
       snake_case_ =   batch_prioritized_routing
       snake_case_ =   second_expert_policy
       snake_case_ =   normalize_router_prob_before_dropping
       snake_case_ =   moe_eval_capacity_token_fraction
       snake_case_ =   moe_token_dropout
       snake_case_ =   output_router_logits
       super().__init__(
           pad_token_id=_UpperCAmelCase	,   bos_token_id=_UpperCAmelCase	,   eos_token_id=_UpperCAmelCase	,   is_encoder_decoder=_UpperCAmelCase	,   decoder_start_token_id=_UpperCAmelCase	,   **_UpperCAmelCase	,   )



def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE = 6008_5147_5143      )->						int:




      """simple docstring"""

      try:
            snake_case_ =   int(SCREAMING_SNAKE_CASE      )
      except (TypeError, ValueError):
            raise TypeError('''Parameter n must be int or castable to int.'''      )
      if n <= 0:
            raise ValueError('''Parameter n must be greater than or equal to one.'''      )
      snake_case_ =   1
      snake_case_ =   2
      while i * i <= n:
            while n % i == 0:
                  snake_case_ =   i
                  n //= i
            i += 1
      if n > 1:
            snake_case_ =   n
      return int(SCREAMING_SNAKE_CASE      )


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