





import numpy as np
import qiskit






def       _A  (      lowerCamelCase = 8							, lowerCamelCase = None   ):
   a__	:						Dict      		=  np.random.default_rng(seed=lowerCamelCase   )

   # Roughly 25% of the qubits will contribute to the key.
   # So we take more than we need.
   a__	:						Dict      		=  6 * key_len
   # Measurement basis for Alice's qubits.
   a__	:						Union[str, Any]      		=  rng.integers(2							, size=lowerCamelCase   )
   # The set of states Alice will prepare.
   a__	:						Optional[int]      		=  rng.integers(2							, size=lowerCamelCase   )
   # Measurement basis for Bob's qubits.
   a__	:						Tuple      		=  rng.integers(2							, size=lowerCamelCase   )

   # Quantum Circuit to simulate BB84
   a__	:						Union[str, Any]      		=  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.
   a__	:						int      		=  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.
   a__	:						int      		=  qiskit.execute(lowerCamelCase							, lowerCamelCase							, shots=1							, seed_simulator=lowerCamelCase   )
   # Returns the result of measurement.
   a__	:						Tuple      		=  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.
   a__	:						List[Any]      		=  "".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.
   a__	:						Optional[int]      		=  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()








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__       :			Any			      =						{"""configuration_sew""": ["""SEW_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWConfig"""]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE__       :			Union[str, Any]			      =						[
      """SEW_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """SEWForCTC""",
      """SEWForSequenceClassification""",
      """SEWModel""",
      """SEWPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_sew import (
        SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
        SEWForCTC,
        SEWForSequenceClassification,
        SEWModel,
        SEWPreTrainedModel,
    )


else:
  import sys

  SCREAMING_SNAKE_CASE__       :			Optional[int]			      =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

