






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


__UpperCamelCase					:		str	  =						logging.get_logger(__name__)

__UpperCamelCase					:		Tuple	  =						{
    "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   __SCREAMING_SNAKE_CASE(	a_	):

							'''simple docstring'''





							_UpperCAmelCase     =       "vit_msn"
							def __init__(     self:      List[Any]       ,	UpperCamelCase:      str=7_68       ,	UpperCamelCase:      Any=12       ,	UpperCamelCase:      str=12       ,	UpperCamelCase:      int=30_72       ,	UpperCamelCase:      str="gelu"       ,	UpperCamelCase:      Union[str, Any]=0.0       ,	UpperCamelCase:      Any=0.0       ,	UpperCamelCase:      Union[str, Any]=0.02       ,	UpperCamelCase:      Union[str, Any]=1e-06       ,	UpperCamelCase:      str=2_24       ,	UpperCamelCase:      Optional[int]=16       ,	UpperCamelCase:      Union[str, Any]=3       ,	UpperCamelCase:      str=True       ,	**UpperCamelCase:      int       ,	)		->		str:
											super().__init__(**UpperCAmelCase__						)

											snake_case__									=     hidden_size
											snake_case__									=     num_hidden_layers
											snake_case__									=     num_attention_heads
											snake_case__									=     intermediate_size
											snake_case__									=     hidden_act
											snake_case__									=     hidden_dropout_prob
											snake_case__									=     attention_probs_dropout_prob
											snake_case__									=     initializer_range
											snake_case__									=     layer_norm_eps
											snake_case__									=     image_size
											snake_case__									=     patch_size
											snake_case__									=     num_channels
											snake_case__									=     qkv_bias












def      a_ (      _A      ,   _A  )			->			str:







				"""simple docstring"""
				if number < 0 or shift_amount < 0:
								raise ValueError('both inputs must be positive integers'  )

				snake_case__									=     str(bin(_A  )  )
				binary_number += "0" * shift_amount
				return binary_number
def      a_ (      _A      ,   _A  )			->			str:







				"""simple docstring"""
				if number < 0 or shift_amount < 0:
								raise ValueError('both inputs must be positive integers'  )

				snake_case__									=     str(bin(_A  )  )[2:]
				if shift_amount >= len(_A  ):
								return "0b0"
				snake_case__									=     binary_number[: len(_A  ) - shift_amount]
				return "0b" + shifted_binary_number
def      a_ (      _A      ,   _A  )			->			str:







				"""simple docstring"""
				if number >= 0:  # Get binary representation of positive number
								snake_case__									=     '0' + str(bin(_A  )  ).strip('-'  )[2:]
				else:  # Get binary (2's complement) representation of negative number
								snake_case__									=     len(bin(_A  )[3:]  )  # Find 2's complement of number
								snake_case__									=     bin(abs(_A  ) - (1 << binary_number_length)  )[3:]
								snake_case__									=     (
								    '1' + '0' * (binary_number_length - len(_A  )) + binary_number
								)

				if shift_amount >= len(_A  ):
								return "0b" + binary_number[0] * len(_A  )
				return (
				    "0b"
				    + binary_number[0] * shift_amount
				    + binary_number[: len(_A  ) - shift_amount]
				)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




