


"""simple docstring"""







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


__lowercase    					=      logging.get_logger(__name__)

__lowercase    					=      {
    """sayakpaul/vit-msn-base""": """https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json""",
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}






class 						_A  (  _a  ):







    """simple docstring"""




    UpperCAmelCase       :							Union[str, Any]	=       """vit_msn"""






    def __init__(					self				:    List[str]				, __UpperCAmelCase				:    Optional[int]=768				, __UpperCAmelCase				:    Optional[int]=12				, __UpperCAmelCase				:    Union[str, Any]=12				, __UpperCAmelCase				:    int=3072				, __UpperCAmelCase				:    List[Any]="gelu"				, __UpperCAmelCase				:    Dict=0.0				, __UpperCAmelCase				:    Optional[int]=0.0				, __UpperCAmelCase				:    Optional[int]=0.02				, __UpperCAmelCase				:    int=1e-06				, __UpperCAmelCase				:    int=224				, __UpperCAmelCase				:    List[str]=16				, __UpperCAmelCase				:    Union[str, Any]=3				, __UpperCAmelCase				:    Dict=True				, **__UpperCAmelCase				:    str				, ):
      super().__init__(**__UpperCAmelCase)

      a						:		Union[str, Any]      							=			hidden_size
      a						:		Dict      							=			num_hidden_layers
      a						:		List[Any]      							=			num_attention_heads
      a						:		Any      							=			intermediate_size
      a						:		Union[str, Any]      							=			hidden_act
      a						:		Optional[int]      							=			hidden_dropout_prob
      a						:		Union[str, Any]      							=			attention_probs_dropout_prob
      a						:		Optional[Any]      							=			initializer_range
      a						:		List[str]      							=			layer_norm_eps
      a						:		List[Any]      							=			image_size
      a						:		Optional[Any]      							=			patch_size
      a						:		Any      							=			num_channels
      a						:		Optional[Any]      							=			qkv_bias










"""simple docstring"""







def      lowercase			(				A_       )->      str:
  '''simple docstring'''







  if isinstance(A_  ,   A_       ):
    raise TypeError("'float' object cannot be interpreted as an integer"       )
  if isinstance(A_  ,   A_       ):
    raise TypeError("'str' object cannot be interpreted as an integer"       )

  if num == 0:
    return "0b0"

  a						:		Optional[Any]      							=			False

  if num < 0:
    a						:		Tuple      							=			True
    a						:		str      							=			-num

  a						:		list[int]      							=			[]
  while num > 0:
    binary.insert(0  ,   num % 2       )
    num >>= 1

  if negative:
    return "-0b" + "".join(str(A_       ) for e in binary       )

  return "0b" + "".join(str(A_       ) for e in binary       )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






