





import doctest

import projectq
from projectq.ops import H, Measure





def     lowerCamelCase__  (  UpperCamelCase__      :							List[Any]    )      ->			int:



					'''simple docstring'''




					_snake_case						=					quantum_engine.allocate_qubit()
					H | qubit
					Measure | qubit
					return int(A_    )


if __name__ == "__main__":
					doctest.testmod()

					# initialises a new quantum backend
					UpperCAmelCase_   				=  projectq.MainEngine()

					# Generate a list of 10 random numbers
					UpperCAmelCase_   				=  [get_random_number(quantum_engine) for _ in range(10)]

					# Flushes the quantum engine from memory
					quantum_engine.flush()

					print("""Random numbers""", random_numbers_list)







"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


__lowercase          = logging.get_logger(__name__)






class 		_A    (    _a    ):







    """simple docstring"""




    def __init__(   self							:       Optional[int]							,					*__UpperCAmelCase							:       Dict							,					**__UpperCAmelCase							:       Any):
      warnings.warn(
          "The class LevitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
          " use LevitImageProcessor instead."							,					__UpperCAmelCase							,					)
      super().__init__(*__UpperCAmelCase							,					**__UpperCAmelCase)






