


import warnings

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


A   :					Dict	=      logging.get_logger(__name__)

A   :					Tuple	=      {
    "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json",
}







class     _lowercase				(							lowercase__):


       """simple docstring"""




       A__      		=    "mvp"
       A__      		=    ["past_key_values"]
       A__      		=    {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}





       def __init__(     self							:    Union[str, Any]      ,   __lowerCamelCase							:    Any=50267      ,   __lowerCamelCase							:    str=1024      ,   __lowerCamelCase							:    Dict=12      ,   __lowerCamelCase							:    Any=4096      ,   __lowerCamelCase							:    Union[str, Any]=16      ,   __lowerCamelCase							:    Union[str, Any]=12      ,   __lowerCamelCase							:    List[Any]=4096      ,   __lowerCamelCase							:    List[str]=16      ,   __lowerCamelCase							:    Optional[int]=0.0      ,   __lowerCamelCase							:    List[Any]=0.0      ,   __lowerCamelCase							:    Optional[Any]="gelu"      ,   __lowerCamelCase							:    Optional[int]=1024      ,   __lowerCamelCase							:    List[Any]=0.1      ,   __lowerCamelCase							:    Any=0.0      ,   __lowerCamelCase							:    List[str]=0.0      ,   __lowerCamelCase							:    Union[str, Any]=0.0_2      ,   __lowerCamelCase							:    Optional[int]=0.0      ,   __lowerCamelCase							:    str=False      ,   __lowerCamelCase							:    List[str]=True      ,   __lowerCamelCase							:    Dict=1      ,   __lowerCamelCase							:    Union[str, Any]=0      ,   __lowerCamelCase							:    Tuple=2      ,   __lowerCamelCase							:    Any=True      ,   __lowerCamelCase							:    Dict=2      ,   __lowerCamelCase							:    int=2      ,   __lowerCamelCase							:    Optional[int]=False      ,   __lowerCamelCase							:    int=100      ,   __lowerCamelCase							:    Optional[Any]=800      ,   **__lowerCamelCase							:    List[str]      ,   ):


             '''simple docstring'''



             lowerCamelCase__	:       Optional[int]					=						vocab_size
             lowerCamelCase__	:       Optional[Any]					=						max_position_embeddings
             lowerCamelCase__	:       List[Any]					=						d_model
             lowerCamelCase__	:       Optional[Any]					=						encoder_ffn_dim
             lowerCamelCase__	:       int					=						encoder_layers
             lowerCamelCase__	:       List[Any]					=						encoder_attention_heads
             lowerCamelCase__	:       Optional[Any]					=						decoder_ffn_dim
             lowerCamelCase__	:       Tuple					=						decoder_layers
             lowerCamelCase__	:       str					=						decoder_attention_heads
             lowerCamelCase__	:       Optional[int]					=						dropout
             lowerCamelCase__	:       Optional[int]					=						attention_dropout
             lowerCamelCase__	:       Any					=						activation_dropout
             lowerCamelCase__	:       Dict					=						activation_function
             lowerCamelCase__	:       Any					=						init_std
             lowerCamelCase__	:       List[str]					=						encoder_layerdrop
             lowerCamelCase__	:       Optional[int]					=						decoder_layerdrop
             lowerCamelCase__	:       int					=						classifier_dropout
             lowerCamelCase__	:       List[Any]					=						use_cache
             lowerCamelCase__	:       Optional[Any]					=						encoder_layers
             lowerCamelCase__	:       int					=						scale_embedding  # scale factor will be sqrt(d_model) if True
             lowerCamelCase__	:       Tuple					=						use_prompt
             lowerCamelCase__	:       str					=						prompt_length
             lowerCamelCase__	:       Dict					=						prompt_mid_dim

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

             if self.forced_bos_token_id is None and kwargs.get("force_bos_token_to_be_generated"      ,   __lowerCamelCase ):
                   lowerCamelCase__	:       List[Any]					=						self.bos_token_id
                   warnings.warn(
                       f"Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. "
                       "The config can simply be saved and uploaded again to be fixed." )






def    lowercase_	(	_A    :					int		):

      """simple docstring"""




      if not isinstance(_A					,      _A		):
            lowerCamelCase__	:       List[str]					=						F"Input value of [number={number}] must be an integer"
            raise TypeError(_A		)
      if number < 0:
            return False
      lowerCamelCase__	:       Dict					=						number * number
      while number > 0:
            if number % 10 != number_square % 10:
                  return False
            number //= 10
            number_square //= 10
      return True


if __name__ == "__main__":
    import doctest

    doctest.testmod()


