

'''simple docstring'''


import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


lowerCAmelCase__										= logging.get_logger(__name__)



class 					lowercase						(  a_ ):


							def __init__(			self    ,			*_snake_case    ,			**_snake_case)							->				None:
								warnings.warn(
								    'The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
								    ' use DPTImageProcessor instead.'    ,			_snake_case    ,			)
								super().__init__(*_snake_case    ,			**_snake_case)









'''simple docstring'''


import qiskit







def 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase  )    ->    qiskit.result.counts.Counts:
	UpperCAmelCase_		:      Tuple       	=					qiskit.Aer.get_backend('aer_simulator'  )

	UpperCAmelCase_		:      List[str]       	=					qiskit.QuantumCircuit(4   ,2  )
	# encode inputs in qubits 0 and 1
	if bita == 1:
		qc_ha.x(0  )
	if bita == 1:
		qc_ha.x(1  )
	qc_ha.barrier()

	# use cnots to write XOR of the inputs on qubit2
	qc_ha.cx(0   ,2  )
	qc_ha.cx(1   ,2  )

	# use ccx / toffoli gate to write AND of the inputs on qubit3
	qc_ha.ccx(0   ,1   ,3  )
	qc_ha.barrier()

	# extract outputs
	qc_ha.measure(2   ,0  )  # extract XOR value
	qc_ha.measure(3   ,1  )  # extract AND value

	# Execute the circuit on the qasm simulator
	UpperCAmelCase_		:      List[str]       	=					qiskit.execute(UpperCamelCase   ,UpperCamelCase   ,shots=1_0_0_0  )

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


if __name__ == "__main__":
						lowerCAmelCase__										= half_adder(1, 1)
						print(F'Half Adder Output Qubit Counts: {counts}')






