






"""simple docstring"""



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


_UpperCamelCase						:    Tuple		=						logging.get_logger(__name__)

_UpperCamelCase						:    List[str]		=						{
    'google/pegasus-x-base': 'https://huggingface.co/google/pegasus-x-base/resolve/main/config.json',
    'google/pegasus-x-large': 'https://huggingface.co/google/pegasus-x-large/resolve/main/config.json',
    # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
}

class 			a	(  a_      ):
    UpperCAmelCase_					:	int      	="pegasus_x"
    UpperCAmelCase_					:	List[Any]      	=["past_key_values"]
    UpperCAmelCase_					:	Optional[int]      	={"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}







    def __init__(     self				,						_lowerCamelCase=9_6_1_0_3				,						_lowerCamelCase=1_6_3_8_4				,						_lowerCamelCase=1_6				,						_lowerCamelCase=4_0_9_6				,						_lowerCamelCase=1_6				,						_lowerCamelCase=1_6				,						_lowerCamelCase=4_0_9_6				,						_lowerCamelCase=1_6				,						_lowerCamelCase=0.0				,						_lowerCamelCase=0.0				,						_lowerCamelCase=True				,						_lowerCamelCase=True				,						_lowerCamelCase="gelu"				,						_lowerCamelCase=1_0_2_4				,						_lowerCamelCase=0.1				,						_lowerCamelCase=0.0				,						_lowerCamelCase=0.0				,						_lowerCamelCase=0.0_2				,						_lowerCamelCase=0				,						_lowerCamelCase=True				,						_lowerCamelCase=0				,						_lowerCamelCase=1				,						_lowerCamelCase=1				,						_lowerCamelCase=3_2				,						_lowerCamelCase=5_1_2				,						_lowerCamelCase=True				,						**_lowerCamelCase				,						):
      lowercase				       =			vocab_size
      lowercase				       =			max_position_embeddings
      lowercase				       =			d_model
      lowercase				       =			encoder_ffn_dim
      lowercase				       =			encoder_layers
      lowercase				       =			encoder_attention_heads
      lowercase				       =			decoder_ffn_dim
      lowercase				       =			decoder_layers
      lowercase				       =			decoder_attention_heads
      lowercase				       =			dropout
      lowercase				       =			attention_dropout
      lowercase				       =			activation_dropout
      lowercase				       =			activation_function
      lowercase				       =			init_std
      lowercase				       =			encoder_layerdrop
      lowercase				       =			decoder_layerdrop
      lowercase				       =			use_cache
      lowercase				       =			encoder_layers
      lowercase				       =			scale_embedding  # scale factor will be sqrt(d_model) if True

      lowercase				       =			num_global_tokens
      lowercase				       =			block_size
      lowercase				       =			stagger_local_blocks

      super().__init__(
          pad_token_id=_lowerCamelCase				,						eos_token_id=_lowerCamelCase				,						is_encoder_decoder=_lowerCamelCase				,						decoder_start_token_id=_lowerCamelCase				,						forced_eos_token_id=_lowerCamelCase				,						**_lowerCamelCase				,						)







    @property
    def      UpperCamelCase_ (     self			):
      return self.encoder_attention_heads







    @property
    def      UpperCamelCase_ (     self			):
      return self.d_model



"""simple docstring"""






def     a_		(   lowerCamelCase			):
				if num < 0:
								return -1
				return 1 if num else 0



def     a_		(   ):
				assert signum(5			) == 1
				assert signum(-5			) == -1
				assert signum(0			) == 0


if __name__ == "__main__":
						print(signum(12))
						print(signum(-12))
						print(signum(0))



