

import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute
def 					a				(      A__     :       float = np.pi / 2				,       A__     :       float = np.pi / 2				,       A__     :       float = np.pi / 2					)   ->				qiskit.result.counts.Counts:





      """simple docstring"""



      _lowercase     	=QuantumRegister(3				,       'qr'					)  # Define the number of quantum bits
      _lowercase     	=ClassicalRegister(1				,       'cr'					)  # Define the number of classical bits

      _lowercase     	=QuantumCircuit(A__				,       A__					)  # Define the quantum circuit.

      # Build the circuit
      quantum_circuit.u(A__				,       A__				,       A__				,       0					)  # Quantum State to teleport
      quantum_circuit.h(1					)  # add hadamard gate
      quantum_circuit.cx(
          1				,       2					)  # add control gate with qubit 1 as control and 2 as target.
      quantum_circuit.cx(0				,       1					)
      quantum_circuit.h(0					)
      quantum_circuit.cz(0				,       2					)  # add control z gate.
      quantum_circuit.cx(1				,       2					)

      quantum_circuit.measure([2]				,       [0]					)  # measure the qubit.

      # Simulate the circuit using qasm simulator
      _lowercase     	=Aer.get_backend('aer_simulator'					)
      _lowercase     	=execute(A__				,       A__				,       shots=1000					)

      return job.result().get_counts(A__					)


if __name__ == "__main__":
  print(
      'Total count for teleported state is: '
      f"{quantum_teleportation(np.pi/2, np.pi/2, np.pi/2)}"
  )





import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


lowercase_     =       logging.get_logger(__name__)





class 			__lowerCAmelCase					( SCREAMING_SNAKE_CASE							):




  def __init__(    self							,       *lowerCAmelCase							,       **lowerCAmelCase )  ->			None:
        '''simple docstring'''






        warnings.warn(
            'The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
            ' Please use LayoutLMv3ImageProcessor instead.'							,       lowerCAmelCase							,       )
        super().__init__(*lowerCAmelCase							,       **lowerCAmelCase )


