






import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


lowercase  :							int			  =    logging.get_logger(__name__)




class 		UpperCAmelCase_						(	SCREAMING_SNAKE_CASE__					):


						'''simple docstring'''




						def __init__(	self		,				*_SCREAMING_SNAKE_CASE		,				**_SCREAMING_SNAKE_CASE				) ->				None:
								warnings.warn(
								    "The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
								    " Please use ImageGPTImageProcessor instead."		,				_SCREAMING_SNAKE_CASE		,				)
								super().__init__(*_SCREAMING_SNAKE_CASE		,				**_SCREAMING_SNAKE_CASE				)








import qiskit

def      lowerCAmelCase__	(    _a       :			int  ,      _a       :			int    ):
		snake_case_				:							Tuple						 =       qiskit.Aer.get_backend("aer_simulator"    )

		# Create a Quantum Circuit acting on the q register
		snake_case_				:							Any						 =       qiskit.QuantumCircuit(_a  ,      _a    )

		# Apply X (NOT) Gate to Qubits 0 & 1
		circuit.x(0    )
		circuit.x(1    )

		# Map the quantum measurement to the classical bits
		circuit.measure([0, 1]  ,      [0, 1]    )

		# Execute the circuit on the qasm simulator
		snake_case_				:							Any						 =       qiskit.execute(_a  ,      _a  ,      shots=10_00    )

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


if __name__ == "__main__":
							lowercase  :							List[Any]			  =    single_qubit_measure(2, 2)
							print(F"""Total count for various states are: {counts}""")
