




import qiskit
from qiskit.providers import Backend





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__   )     ->     tuple[qiskit.QuantumCircuit, str, str]:







				'''simple docstring'''


				__lowerCAmelCase	,				__lowerCAmelCase					=  bin(UpperCamelCase__   )[2:], bin(UpperCamelCase__   )[2:]  # Remove leading '0b'

				# Ensure that both strings are of the same length
				if len(UpperCamelCase__   ) > len(UpperCamelCase__   ):
								__lowerCAmelCase					=  y.zfill(len(UpperCamelCase__   )   )
				else:
								__lowerCAmelCase					=  x.zfill(len(UpperCamelCase__   )   )

				# We need (3 * number of bits in the larger number)+1 qBits
				# The second parameter is the number of classical registers, to measure the result
				__lowerCAmelCase					=  qiskit.QuantumCircuit((len(UpperCamelCase__   ) * 3) + 1						,			len(UpperCamelCase__   ) + 1   )

				# We are essentially "not-ing" the bits that are 1
				# Reversed because it's easier to perform ops on more significant bits
				for i in range(len(UpperCamelCase__   )   ):
								if x[::-1][i] == "1":
												circuit.x(UpperCamelCase__   )
				for j in range(len(UpperCamelCase__   )   ):
								if y[::-1][j] == "1":
												circuit.x(len(UpperCamelCase__   ) + j   )

				return circuit, x, y





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__						,			)     ->     Any:







				'''simple docstring'''


				circuit.ccx(UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__   )
				circuit.cx(UpperCamelCase__						,			UpperCamelCase__   )
				circuit.ccx(UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__   )
				circuit.cx(UpperCamelCase__						,			UpperCamelCase__   )
				circuit.cx(UpperCamelCase__						,			UpperCamelCase__   )





def      UpperCAmelCase  (						UpperCamelCase__						,			UpperCamelCase__						,			UpperCamelCase__ = qiskit.Aer.get_backend("""aer_simulator"""   )						,			)     ->     int:







				'''simple docstring'''


				if vala < 0 or vala < 0:
								raise ValueError("""Both Integers must be positive!"""   )

				# Store the Integers
				__lowerCAmelCase	,				__lowerCAmelCase	,				__lowerCAmelCase					=  store_two_classics(UpperCamelCase__						,			UpperCamelCase__   )
				for i in range(len(UpperCamelCase__   )   ):
								full_adder(UpperCamelCase__						,			UpperCamelCase__						,			len(UpperCamelCase__   ) + i						,			len(UpperCamelCase__   ) + len(UpperCamelCase__   ) + i						,			len(UpperCamelCase__   ) + len(UpperCamelCase__   ) + i + 1   )
								circuit.barrier()  # Optional, just for aesthetics

				# Measure the resultant qBits
				for i in range(len(UpperCamelCase__   ) + 1   ):
								circuit.measure([(len(UpperCamelCase__   ) * 2) + i]						,			[i]   )

				__lowerCAmelCase					=  qiskit.execute(UpperCamelCase__						,			UpperCamelCase__						,			shots=1   ).result()

				# The result is in binary. Convert it back to int
				return int(list(res.get_counts()   )[0]						,			2   )


if __name__ == "__main__":
	import doctest

	doctest.testmod()











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


__SCREAMING_SNAKE_CASE     : str      =logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     : Any      ={
    """ZinengTang/tvlt-base""": """https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json""",
}






class       A      (		_lowerCAmelCase		):
     """simple docstring"""

     _snake_case:						str  ="tvlt"




     def __init__(     self	: List[Any]						,	A__	: List[str]=2_2_4						,	A__	: Optional[int]=2_0_4_8						,	A__	: str=1_2_8						,	A__	: Union[str, Any]=[1_6, 1_6]						,	A__	: List[Any]=[1_6, 1_6]						,	A__	: int=3						,	A__	: Optional[int]=1						,	A__	: Tuple=8						,	A__	: Tuple=7_6_8						,	A__	: List[str]=1_2						,	A__	: Tuple=1_2						,	A__	: int=3_0_7_2						,	A__	: Tuple="gelu"						,	A__	: str=0.0						,	A__	: Dict=0.0						,	A__	: Any=0.02						,	A__	: int=1E-6						,	A__	: List[str]=True						,	A__	: List[str]=False						,	A__	: Optional[Any]=1_6						,	A__	: Optional[Any]=5_1_2						,	A__	: List[Any]=8						,	A__	: Any=2_0_4_8						,	A__	: List[Any]=0.75						,	A__	: List[Any]=0.15						,	A__	: str="frame-level"						,	A__	: Union[str, Any]=True						,	A__	: Optional[int]=True						,	A__	: Optional[Any]="classification"						,	**A__	: int						,	)					->							Tuple:
           super().__init__(**A__      )

           if audio_mask_type not in ("frame-level", "patch_level"):
                 raise ValueError(
                     'audio_mask_type must be one of two acceptable strategies - {\'frame_level\', \'patch-level\') '
                     F"""got {audio_mask_type}"""      )

           lowerCamelCase__   	=					image_size
           lowerCamelCase__   	=					spectrogram_length
           lowerCamelCase__   	=					frequency_length
           lowerCamelCase__   	=					image_patch_size
           lowerCamelCase__   	=					audio_patch_size
           lowerCamelCase__   	=					num_image_channels
           lowerCamelCase__   	=					num_audio_channels
           lowerCamelCase__   	=					num_frames

           lowerCamelCase__   	=					hidden_size
           lowerCamelCase__   	=					num_hidden_layers
           lowerCamelCase__   	=					num_attention_heads
           lowerCamelCase__   	=					intermediate_size
           lowerCamelCase__   	=					hidden_act
           lowerCamelCase__   	=					hidden_dropout_prob
           lowerCamelCase__   	=					attention_probs_dropout_prob
           lowerCamelCase__   	=					initializer_range
           lowerCamelCase__   	=					layer_norm_eps
           lowerCamelCase__   	=					qkv_bias
           lowerCamelCase__   	=					use_mean_pooling

           lowerCamelCase__   	=					decoder_num_attention_heads
           lowerCamelCase__   	=					decoder_hidden_size
           lowerCamelCase__   	=					decoder_num_hidden_layers
           lowerCamelCase__   	=					decoder_intermediate_size
           lowerCamelCase__   	=					pixel_mask_ratio
           lowerCamelCase__   	=					audio_mask_ratio
           lowerCamelCase__   	=					audio_mask_type

           lowerCamelCase__   	=					task_matching
           lowerCamelCase__   	=					task_mae
           lowerCamelCase__   	=					loss_type