





import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


_lowerCamelCase :    Optional[int]  							= logging.get_logger(__name__)


class 						lowerCamelCase       (lowercase__      ):







							"""simple docstring"""




							def __init__( self     :					Dict,			*_UpperCAmelCase     :					str,			**_UpperCAmelCase     :					Tuple						)				->			List[Any]:





														"""simple docstring"""
														warnings.warn(
														    "The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
														    " Please use SegformerImageProcessor instead.",			lowercase_,			)
														super().__init__(*lowercase_,			**lowercase_						)













import qiskit




def _a (  SCREAMING_SNAKE_CASE__      :  int			,				SCREAMING_SNAKE_CASE__      :  int       )	->    qiskit.result.counts.Counts:

							'''simple docstring'''






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

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

							# 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
							SCREAMING_SNAKE_CASE__       :      int     =						qiskit.execute(SCREAMING_SNAKE_CASE__			,				SCREAMING_SNAKE_CASE__			,				shots=10_00       )

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


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






