





"""simple docstring"""




import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel


class  __UpperCamelCase       (		a__		):
							lowerCamelCase     :      int         ="""M-CLIP"""






							def __init__(     self   ,      lowerCAmelCase__=1024   ,      lowerCAmelCase__=768   ,      **lowerCAmelCase__   )			->				Optional[Any]:
								a   :	str			=       transformerDimSize
								a   :	Any			=       imageDimSize
								super().__init__(**lowerCAmelCase__   )


class  __UpperCamelCase       (		a__		):
							lowerCamelCase     :      str         =MCLIPConfig






							def __init__(     self   ,      lowerCAmelCase__   ,      *lowerCAmelCase__   ,      **lowerCAmelCase__   )			->				Union[str, Any]:
								super().__init__(lowerCAmelCase__   ,      *lowerCAmelCase__   ,      **lowerCAmelCase__   )
								a   :	List[str]			=       XLMRobertaModel(lowerCAmelCase__   )
								a   :	Union[str, Any]			=       torch.nn.Linear(
								    in_features=config.transformerDimensions   ,      out_features=config.numDims   )






							def 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__   )			->				str:
								a   :	int			=       self.transformer(input_ids=lowerCAmelCase__   ,      attention_mask=lowerCAmelCase__   )[0]
								a   :	str			=       (embs * attention_mask.unsqueeze(2   )).sum(dim=1   ) / attention_mask.sum(dim=1   )[:, None]
								return self.LinearTransformation(lowerCAmelCase__   ), embs









"""simple docstring"""




import qiskit






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					int					, _lowercase		:					int      )				->qiskit.result.counts.Counts:






	'''simple docstring'''






	a   :	Union[str, Any]			=       qiskit.Aer.get_backend("aer_simulator"      )

	# Create a Quantum Circuit acting on the q register
	a   :	Optional[Any]			=       qiskit.QuantumCircuit(_lowercase					, _lowercase      )

	# Map the quantum measurement to the classical bits
	circuit.measure([0]					, [0]      )

	# Execute the circuit on the simulator
	a   :	Optional[int]			=       qiskit.execute(_lowercase					, _lowercase					, shots=1000      )

	# Return the histogram data of the results of the experiment.
	return job.result().get_counts(_lowercase      )


if __name__ == "__main__":
		print(F'''Total count for various states are: {single_qubit_measure(1, 1)}''')


