import numpy as np
import qiskit





def    __lowercase     (						lowerCamelCase					:     int = 8  ,  lowerCamelCase					:     int | None = None	):
 UpperCamelCase_					:						Optional[Any] =					np.random.default_rng(seed=lowerCamelCase	)

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

 # Quantum Circuit to simulate BB84
 UpperCamelCase_					:						List[str] =					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_					:						Optional[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.
 UpperCamelCase_					:						Dict =					qiskit.execute(lowerCamelCase  ,  lowerCamelCase  ,  shots=1  ,  seed_simulator=lowerCamelCase	)
 # Returns the result of measurement.
 UpperCamelCase_					:						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.
 UpperCamelCase_					:						Optional[int] =					''.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_					:						Union[str, Any] =					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 torch import nn





class 		_lowercase						(					nn.Module       ):

 def __init__( self	:							Any   ,      snake_case	:							Dict   ,      snake_case	:							Union[str, Any]			)   ->						Dict:

  """simple docstring"""





  super().__init__()
  UpperCamelCase_					:						List[Any] =					class_size
  UpperCamelCase_					:						List[Any] =					embed_size
  # self.mlp1 = nn.Linear(embed_size, embed_size)
  # self.mlp2 = (nn.Linear(embed_size, class_size))
  UpperCamelCase_					:						int =					nn.Linear(snake_case   ,      snake_case			)


 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[str]   ,      snake_case	:							Any			)   ->						str:

  """simple docstring"""





  UpperCamelCase_					:						Dict =					self.mlp(snake_case			)
  return logits



