


import numpy as np
import qiskit





def __UpperCAmelCase							(		__A = 8			,    __A = None      )    ->       str:



       '''simple docstring'''





       UpperCAmelCase__					    =  np.random.default_rng(seed=_lowerCamelCase      )

       # Roughly 25% of the qubits will contribute to the key.
       # So we take more than we need.
       UpperCAmelCase__					    =  6 * key_len
       # Measurement basis for Alice's qubits.
       UpperCAmelCase__					    =  rng.integers(2			,    size=_lowerCamelCase      )
       # The set of states Alice will prepare.
       UpperCAmelCase__					    =  rng.integers(2			,    size=_lowerCamelCase      )
       # Measurement basis for Bob's qubits.
       UpperCAmelCase__					    =  rng.integers(2			,    size=_lowerCamelCase      )

       # Quantum Circuit to simulate BB84
       UpperCAmelCase__					    =  qiskit.QuantumCircuit(_lowerCamelCase			,    name="BB84"      )

       # Alice prepares her qubits according to rules above.
       for index, _ in enumerate(_lowerCamelCase      ):
              if alice_state[index] == 1:
                     bbaa_circ.x(_lowerCamelCase      )
              if alice_basis[index] == 1:
                     bbaa_circ.h(_lowerCamelCase      )
       bbaa_circ.barrier()

       # Bob measures the received qubits according to rules above.
       for index, _ in enumerate(_lowerCamelCase      ):
              if bob_basis[index] == 1:
                     bbaa_circ.h(_lowerCamelCase      )

       bbaa_circ.barrier()
       bbaa_circ.measure_all()

       # Simulate the quantum circuit.
       UpperCAmelCase__					    =  qiskit.Aer.get_backend("aer_simulator"      )
       # We only need to run one shot because the key is unique.
       # Multiple shots will produce the same key.
       UpperCAmelCase__					    =  qiskit.execute(_lowerCamelCase			,    _lowerCamelCase			,    shots=1			,    seed_simulator=_lowerCamelCase      )
       # Returns the result of measurement.
       UpperCAmelCase__					    =  job.result().get_counts(_lowerCamelCase      ).most_frequent()

       # Extracting the generated key from the simulation results.
       # Only keep measurement results where Alice and Bob chose the same basis.
       UpperCAmelCase__					    =  """""".join(
           [
               result_bit
               for alice_basis_bit, bob_basis_bit, result_bit in zip(
                   _lowerCamelCase			,    _lowerCamelCase			,    _lowerCamelCase      )
               if alice_basis_bit == bob_basis_bit
           ]      )

       # Get final key. Pad with 0 if too short, otherwise truncate.
       UpperCAmelCase__					    =  gen_key[:key_len] if len(_lowerCamelCase      ) >= key_len else gen_key.ljust(_lowerCamelCase			,    "0"      )
       return key


if __name__ == "__main__":
    print(f"The generated key is : {bbaa(8, seed=0)}")
    from doctest import testmod

    testmod()












'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


__UpperCamelCase					    =	logging.get_logger(__name__)




class  _A (					__lowercase		):

		def __init__(   self					:   int  ,      *__magic_name__					:   Optional[Any]  ,      **__magic_name__					:   Any			)					->    None:


					"""simple docstring"""

					warnings.warn(
					    """The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
					    """ use OwlViTImageProcessor instead."""  ,      __magic_name__  ,      )
					super().__init__(*__magic_name__  ,      **__magic_name__			)


